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class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Mauricio Galleguillos" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/34933953/16281115/16687133/s200_mauricio.galleguillos.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Mauricio Galleguillos</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://uchile.academia.edu/">Universidad de Chile</a>, <a class="u-tcGrayDarker" href="https://uchile.academia.edu/Departments/Departamento_de_Ciencias_Ambientales_y_Recursos_Naturales_Renovables/Documents">Departamento de Ciencias Ambientales y Recursos Naturales Renovables</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Mauricio" data-follow-user-id="34933953" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="34933953"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">50</p></div></a><a><div 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role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Papers" data-toggle="tab" href="#papers" role="tab" title="Papers"><span>53</span> <span class="ds2-5-body-sm-bold">Papers</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="ISI" data-toggle="tab" href="#isi" role="tab" title="ISI"><span>1</span> <span class="ds2-5-body-sm-bold">ISI</span></a></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Mauricio Galleguillos</h3></div><div class="js-work-strip profile--work_container" data-work-id="120277407"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/120277407/Fire_forest_and_city_water_supplies"><img alt="Research paper thumbnail of Fire, forest and city water supplies" class="work-thumbnail" src="https://attachments.academia-assets.com/115481218/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/120277407/Fire_forest_and_city_water_supplies">Fire, forest and city water supplies</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The changing role of fire in forest landscapes shows that strategic forest management is necessar...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The changing role of fire in forest landscapes shows that strategic forest management is necessary to safeguard urban water supplies. Forest landscapes generate 57 percent of runoff worldwide and supply water to more than 4 billion people (Millennium Ecosystem Assessment, 2005). As the world population continues to increase, there is a strong need to understand how forest processes link together in a cascade to provide people with water services like hydropower, aquaculture, drinking water and flood protection (Carvalho-Santos, Honrado and Hein, 2014). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344570"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344570/CLSoilMaps_A_national_soil_gridded_database_of_physical_and_hydraulic_soil_properties_for_Chile"><img alt="Research paper thumbnail of CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile" class="work-thumbnail" src="https://attachments.academia-assets.com/111779319/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344570/CLSoilMaps_A_national_soil_gridded_database_of_physical_and_hydraulic_soil_properties_for_Chile">CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile</a></div><div class="wp-workCard_item"><span>Scientific Data</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Spatially explicit soil information is crucial for comprehending and managing many of Earth´s pro...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. We introduced a gridded database of soil physical properties and hydraulic parameters at 100 meters spatial resolution. It covers the continental area of Chile and binational basins shared with Argentina for six standardized depths following the specifications of the GlobalSoilMap project. We generated soil maps based on digital soil mapping techniques based on more than 4000 observations, including unpublished data from remote areas. These maps were used as input for the pedotransfer function Rosetta V3 to obtain predictions of soil hydraulic properties, such as field capacity, permanent wilting point, total available water capacity, and other parameters of the water retention curve. The trained models outperformed several other DSM studies applied at the national and regional scale for soil physical properties (nRMSE ran...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a811c1dd06343b8161f13c2f1b10272b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779319,"asset_id":115344570,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779319/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344570"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344570"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344570; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344570]").text(description); $(".js-view-count[data-work-id=115344570]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344570; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344570']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344570, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a811c1dd06343b8161f13c2f1b10272b" } } $('.js-work-strip[data-work-id=115344570]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344570,"title":"CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile","translated_title":"","metadata":{"abstract":"Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. 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The trained models outperformed several other DSM studies applied at the national and regional scale for soil physical properties (nRMSE ran...","publisher":"Springer Science and Business Media LLC","publication_name":"Scientific Data"},"translated_abstract":"Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. We introduced a gridded database of soil physical properties and hydraulic parameters at 100 meters spatial resolution. It covers the continental area of Chile and binational basins shared with Argentina for six standardized depths following the specifications of the GlobalSoilMap project. We generated soil maps based on digital soil mapping techniques based on more than 4000 observations, including unpublished data from remote areas. These maps were used as input for the pedotransfer function Rosetta V3 to obtain predictions of soil hydraulic properties, such as field capacity, permanent wilting point, total available water capacity, and other parameters of the water retention curve. 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This geographic region includes a diverse range of natural and planted forests and a broad sweep of vegetation, edaphic, topographic, geologic, and climatic settings which create a unique natural laboratory. Many local communities, endangered freshwater ecosystems, and downstream economic activities in Chile rely on water flows from forested catchments. This review aims to (i) provide a comprehensive overview of Chilean forest hydrology, to (ii) review prior research in forest hydrology in Chile, and to (iii) identify knowledge gaps and provide a vision for future research on forest hydrology in Chile. We reviewed the relation between native forests, commercial plantations, and other land uses on water yield and water quality from the plot to the catchment scale. Much of the global understanding of forests and their relationship with the water cycle is in line with the findings of the studies reviewed here. Streamflow from","publication_name":"Journal of Hydrology","grobid_abstract_attachment_id":111779350},"translated_abstract":null,"internal_url":"https://www.academia.edu/115344569/Forest_hydrology_in_Chile_Past_present_and_future","translated_internal_url":"","created_at":"2024-02-24T03:34:58.554-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111779350,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779350/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/111779350/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Forest_hydrology_in_Chile_Past_present_a.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779350/viewcontent-libre.pdf?1708776725=\u0026response-content-disposition=attachment%3B+filename%3DForest_hydrology_in_Chile_Past_present_a.pdf\u0026Expires=1732745195\u0026Signature=HqQal9w3MC93kirDGV0dGlnn8-ArUTZOp5yIY8KE5zZj-zwG1f4RD5P4~blgXO1mVhHAQ4ztUPCWDRVEaQkoJxsD9W5Gnmxe3f9C6-t-g1pvoRpkUi1Qr0Z-rYCt1B0KCye3E1sKLpWVQ1JLklfsrU71t5wPbyiWXrwt4AmmJe54aiE7rggIUVM~Hps3DWXwElCfVPWzypZ-tR2AOlPsnlHEXkHHXT914QJs1UMLGhQsDVRxFxmfQT0rrzIW1yPWwKUnm5d8i6CKYa70NZThHd6yN-tmLPM0VDA3WbOdYEpAhGNL7udJqr~4ggZs81cQPoxm1meovLWzR8TqN2fE1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Forest_hydrology_in_Chile_Past_present_and_future","translated_slug":"","page_count":27,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":111779350,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779350/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/111779350/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Forest_hydrology_in_Chile_Past_present_a.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779350/viewcontent-libre.pdf?1708776725=\u0026response-content-disposition=attachment%3B+filename%3DForest_hydrology_in_Chile_Past_present_a.pdf\u0026Expires=1732745195\u0026Signature=HqQal9w3MC93kirDGV0dGlnn8-ArUTZOp5yIY8KE5zZj-zwG1f4RD5P4~blgXO1mVhHAQ4ztUPCWDRVEaQkoJxsD9W5Gnmxe3f9C6-t-g1pvoRpkUi1Qr0Z-rYCt1B0KCye3E1sKLpWVQ1JLklfsrU71t5wPbyiWXrwt4AmmJe54aiE7rggIUVM~Hps3DWXwElCfVPWzypZ-tR2AOlPsnlHEXkHHXT914QJs1UMLGhQsDVRxFxmfQT0rrzIW1yPWwKUnm5d8i6CKYa70NZThHd6yN-tmLPM0VDA3WbOdYEpAhGNL7udJqr~4ggZs81cQPoxm1meovLWzR8TqN2fE1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":2549,"name":"Hydrology","url":"https://www.academia.edu/Documents/in/Hydrology"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":142811,"name":"Streamflow","url":"https://www.academia.edu/Documents/in/Streamflow"}],"urls":[{"id":39752228,"url":"https://api.elsevier.com/content/article/PII:S0022169422012513?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344568"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344568/Exotic_tree_plantations_in_the_Chilean_Coastal_Range_Balancing_effects_of_discrete_disturbances_connectivity_and_a_persistent_drought_on_catchment_erosion"><img alt="Research paper thumbnail of Exotic tree plantations in the Chilean Coastal Range: Balancing effects of discrete disturbances, connectivity and a persistent drought on catchment erosion" class="work-thumbnail" src="https://attachments.academia-assets.com/111779351/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344568/Exotic_tree_plantations_in_the_Chilean_Coastal_Range_Balancing_effects_of_discrete_disturbances_connectivity_and_a_persistent_drought_on_catchment_erosion">Exotic tree plantations in the Chilean Coastal Range: Balancing effects of discrete disturbances, connectivity and a persistent drought on catchment erosion</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b9d545b5ae149148cdfaf37388885e7e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779351,"asset_id":115344568,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779351/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344568"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344568"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344568; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b9d545b5ae149148cdfaf37388885e7e" } } $('.js-work-strip[data-work-id=115344568]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344568,"title":"Exotic tree plantations in the Chilean Coastal Range: Balancing effects of discrete disturbances, connectivity and a persistent drought on catchment erosion","translated_title":"","metadata":{"publisher":"Wiley","grobid_abstract":"The Coastal Range in the Mediterranean segment of the Chilean active margin is a soil mantled landscape able to store fresh water and potentially support a biodiverse native forest. In this landscape, human intervention has been increasing soil erosion for 200 yr, with the last 45 yr experiencing intensive management of exotic tree plantations. Such intense forest management practices come along with rotational cycles as short as 9-25 yrs, the construction of dense forest road networks, and the fostering of wildfire susceptibility due to the high amounts of fuel provided by dense plantation stands. Here we first compare decadalscale catchment erosion rates from suspended sediment loads with a 10ˆ4-years-scale catchment erosion rate estimated from detrital 10 Be. We then explore these erosion rates against the effects of discrete disturbances and hydroclimatic trends. Erosion rates are similar on both time scales, i.e. 0.018 ±0.005 mm/yr and 0.024 ±0.004 mm/yr, respectively. Recent human-made disturbances include logging operations during each season and a dense network of forestry roads, which increase structural sediment connectivity. Other disturbances include the 2010 M w 8.8 Maule earthquake, and two widespread wildfires in 2015 and 2017. A decrease in suspended sediment load is observed during the wet seasons for the period 1986-2018 coinciding with a decline in several hydroclimatic parameters. The low 10ˆ4-years erosion rate agrees with a landscape dominated by slow soil creep. The low 10-years-scale erosion rate and the decrease in suspended sediments, however, conflicts with both the observed disturbances and increased structural (sediment) connectivity. These observations suggest that, either suspended sediment loads and, thus, catchment erosion, are underestimated, and/or that decennial sediment detachment and transport were smeared by decreasing rainfall and streamflow. Our findings indicate that human-made disturbances and hydrometeorologic trends may result in opposite, partially offsetting effects on recent sediment transport.","grobid_abstract_attachment_id":111779351},"translated_abstract":null,"internal_url":"https://www.academia.edu/115344568/Exotic_tree_plantations_in_the_Chilean_Coastal_Range_Balancing_effects_of_discrete_disturbances_connectivity_and_a_persistent_drought_on_catchment_erosion","translated_internal_url":"","created_at":"2024-02-24T03:34:58.414-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111779351,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779351/thumbnails/1.jpg","file_name":"essoar.10512068.pdf","download_url":"https://www.academia.edu/attachments/111779351/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Exotic_tree_plantations_in_the_Chilean_C.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779351/essoar.10512068-libre.pdf?1708776693=\u0026response-content-disposition=attachment%3B+filename%3DExotic_tree_plantations_in_the_Chilean_C.pdf\u0026Expires=1732745195\u0026Signature=UG5XU3Z3mJ7cB9hn3Sr4nJ4dt65ymcThHB60HR1ts44~md5fclGSB6Gdp6GasMxdA8Ihq1am~xyzkiY4IKd-W4E5-ICxhy6NPGSfJ-nceZby1b-AD7M7Ch~J7IezDx59KO47IJXr8~N9DRCKYQPghCMjhxqDDAOH98wCnwDMpiybfYVqIZ4DBcrY9pue7r~4VTCU2ugKTAfxd6q6ThegjABAzjT7E5LDnaHt7pvWHETHOgesFgQ862JabpB6BcCnPIHtOXbh0jvxn9NjTgPzxcvmfz0zPDFhx54Bh1yQmk1r950b25SZfYlY0PH-MDK5YfbktVirPL9YcZX9ZJqv2A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Exotic_tree_plantations_in_the_Chilean_Coastal_Range_Balancing_effects_of_discrete_disturbances_connectivity_and_a_persistent_drought_on_catchment_erosion","translated_slug":"","page_count":28,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":111779351,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779351/thumbnails/1.jpg","file_name":"essoar.10512068.pdf","download_url":"https://www.academia.edu/attachments/111779351/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Exotic_tree_plantations_in_the_Chilean_C.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779351/essoar.10512068-libre.pdf?1708776693=\u0026response-content-disposition=attachment%3B+filename%3DExotic_tree_plantations_in_the_Chilean_C.pdf\u0026Expires=1732745195\u0026Signature=UG5XU3Z3mJ7cB9hn3Sr4nJ4dt65ymcThHB60HR1ts44~md5fclGSB6Gdp6GasMxdA8Ihq1am~xyzkiY4IKd-W4E5-ICxhy6NPGSfJ-nceZby1b-AD7M7Ch~J7IezDx59KO47IJXr8~N9DRCKYQPghCMjhxqDDAOH98wCnwDMpiybfYVqIZ4DBcrY9pue7r~4VTCU2ugKTAfxd6q6ThegjABAzjT7E5LDnaHt7pvWHETHOgesFgQ862JabpB6BcCnPIHtOXbh0jvxn9NjTgPzxcvmfz0zPDFhx54Bh1yQmk1r950b25SZfYlY0PH-MDK5YfbktVirPL9YcZX9ZJqv2A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":84446,"name":"Erosion","url":"https://www.academia.edu/Documents/in/Erosion"},{"id":113501,"name":"Sediment transport","url":"https://www.academia.edu/Documents/in/Sediment_transport"},{"id":142811,"name":"Streamflow","url":"https://www.academia.edu/Documents/in/Streamflow"},{"id":192294,"name":"Sediment","url":"https://www.academia.edu/Documents/in/Sediment"},{"id":360593,"name":"Logging","url":"https://www.academia.edu/Documents/in/Logging"},{"id":531003,"name":"Denudation","url":"https://www.academia.edu/Documents/in/Denudation"},{"id":620328,"name":"Sediment Transport","url":"https://www.academia.edu/Documents/in/Sediment_Transport-5"},{"id":4134089,"name":"Drainage basin","url":"https://www.academia.edu/Documents/in/Drainage_basin"}],"urls":[]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344566"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344566/Disturbance_alters_relationships_between_soil_carbon_pools_and_aboveground_vegetation_attributes_in_an_anthropogenic_peatland_in_Patagonia"><img alt="Research paper thumbnail of Disturbance alters relationships between soil carbon pools and aboveground vegetation attributes in an anthropogenic peatland in Patagonia" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344566/Disturbance_alters_relationships_between_soil_carbon_pools_and_aboveground_vegetation_attributes_in_an_anthropogenic_peatland_in_Patagonia">Disturbance alters relationships between soil carbon pools and aboveground vegetation attributes in an anthropogenic peatland in Patagonia</a></div><div class="wp-workCard_item"><span>Ecology and Evolution</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Anthropogenic‐based disturbances may alter peatland soil–plant causal associations and their abil...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Anthropogenic‐based disturbances may alter peatland soil–plant causal associations and their ability to sequester carbon. Likewise, it is unclear how the vegetation attributes are linked with different soil C decomposition‐based pools (i.e., live moss, debris, and poorly‐ to highly‐decomposed peat) under grassing and harvesting conditions. Therefore, we aimed to assess the relationships between aboveground vegetation attributes and belowground C pools in a Northern Patagonian peatland of Sphagnum magellanicum with disturbed and undisturbed areas. We used ordination to depict the main C pool and floristic gradients and structural equation modeling (SEM) to explore the direct and indirect relationships among these variables. In addition, we evaluated whether attributes derived from plant functional types (PFTs) are better suited to predict soil C pools than attributes derived from species gradients. We found that the floristic composition of the peatland can be classified into three c...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344566"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344566"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344566; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344566]").text(description); $(".js-view-count[data-work-id=115344566]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344566; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344566']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344566, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344566]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344566,"title":"Disturbance alters relationships between soil carbon pools and aboveground vegetation attributes in an anthropogenic peatland in Patagonia","translated_title":"","metadata":{"abstract":"Anthropogenic‐based disturbances may alter peatland soil–plant causal associations and their ability to sequester carbon. Likewise, it is unclear how the vegetation attributes are linked with different soil C decomposition‐based pools (i.e., live moss, debris, and poorly‐ to highly‐decomposed peat) under grassing and harvesting conditions. Therefore, we aimed to assess the relationships between aboveground vegetation attributes and belowground C pools in a Northern Patagonian peatland of Sphagnum magellanicum with disturbed and undisturbed areas. We used ordination to depict the main C pool and floristic gradients and structural equation modeling (SEM) to explore the direct and indirect relationships among these variables. In addition, we evaluated whether attributes derived from plant functional types (PFTs) are better suited to predict soil C pools than attributes derived from species gradients. We found that the floristic composition of the peatland can be classified into three c...","publisher":"Wiley","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Ecology and Evolution"},"translated_abstract":"Anthropogenic‐based disturbances may alter peatland soil–plant causal associations and their ability to sequester carbon. Likewise, it is unclear how the vegetation attributes are linked with different soil C decomposition‐based pools (i.e., live moss, debris, and poorly‐ to highly‐decomposed peat) under grassing and harvesting conditions. Therefore, we aimed to assess the relationships between aboveground vegetation attributes and belowground C pools in a Northern Patagonian peatland of Sphagnum magellanicum with disturbed and undisturbed areas. We used ordination to depict the main C pool and floristic gradients and structural equation modeling (SEM) to explore the direct and indirect relationships among these variables. In addition, we evaluated whether attributes derived from plant functional types (PFTs) are better suited to predict soil C pools than attributes derived from species gradients. We found that the floristic composition of the peatland can be classified into three c...","internal_url":"https://www.academia.edu/115344566/Disturbance_alters_relationships_between_soil_carbon_pools_and_aboveground_vegetation_attributes_in_an_anthropogenic_peatland_in_Patagonia","translated_internal_url":"","created_at":"2024-02-24T03:34:58.133-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Disturbance_alters_relationships_between_soil_carbon_pools_and_aboveground_vegetation_attributes_in_an_anthropogenic_peatland_in_Patagonia","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":76581,"name":"Peat","url":"https://www.academia.edu/Documents/in/Peat"},{"id":156040,"name":"Ecology and Evolution","url":"https://www.academia.edu/Documents/in/Ecology_and_Evolution"},{"id":194454,"name":"Soil Carbon","url":"https://www.academia.edu/Documents/in/Soil_Carbon"},{"id":199669,"name":"Ecological Succession","url":"https://www.academia.edu/Documents/in/Ecological_Succession"},{"id":216215,"name":"Moss","url":"https://www.academia.edu/Documents/in/Moss"},{"id":522060,"name":"Ordination","url":"https://www.academia.edu/Documents/in/Ordination"},{"id":653596,"name":"Plant Community","url":"https://www.academia.edu/Documents/in/Plant_Community"}],"urls":[{"id":39752227,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.8694"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344565"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344565/An_operational_method_for_mapping_the_composition_of_post_fire_litter"><img alt="Research paper thumbnail of An operational method for mapping the composition of post-fire litter" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344565/An_operational_method_for_mapping_the_composition_of_post_fire_litter">An operational method for mapping the composition of post-fire litter</a></div><div class="wp-workCard_item"><span>Remote Sensing Letters</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Recent increase in the frequency and spatial extent of wildfires motivates the quick rec...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Recent increase in the frequency and spatial extent of wildfires motivates the quick recognition of the affected soil properties over large areas. Digital Soil Mapping is a valuable approach to map soil attributes based on remote sensing and field observations. We predicted the spatial distribution of post-fire litter composition in a 40,600 ha basin burned on the 2017 wildfire of Chile. Remotely sensed data of topography, vegetation structure and spectral indices (SI) were used as predictors of random forest (RF) models. Litter sampled in 60 hillslopes after the fire provided training and validation data. Predictors selected by the Variable Selection Using Random Forests (VSURF) algorithm resulted in models for litter composition with acceptable accuracy (coefficient of determination, R 2 = 0.51–0.64, Normalized Root Mean Square Error, NRMSE = 16.9–22.1, percentage bias, pbias = −0.35%-0.5%). Modelled litter parameters decrease in concentration respect to the degree of burn severity, and the pre-fire biomass. Because pre-fire vegetation was conditioned by land cover and by a previous (2 years old) wildfire event, our results highlight the cumulative effect of severe wildfires in the depletion of litter composition.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344565"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344565"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344565; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344565]").text(description); $(".js-view-count[data-work-id=115344565]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344565; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344565']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344565, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344565]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344565,"title":"An operational method for mapping the composition of post-fire litter","translated_title":"","metadata":{"abstract":"ABSTRACT Recent increase in the frequency and spatial extent of wildfires motivates the quick recognition of the affected soil properties over large areas. 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Because pre-fire vegetation was conditioned by land cover and by a previous (2 years old) wildfire event, our results highlight the cumulative effect of severe wildfires in the depletion of litter composition.","publisher":"Informa UK Limited","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Remote Sensing Letters"},"translated_abstract":"ABSTRACT Recent increase in the frequency and spatial extent of wildfires motivates the quick recognition of the affected soil properties over large areas. Digital Soil Mapping is a valuable approach to map soil attributes based on remote sensing and field observations. We predicted the spatial distribution of post-fire litter composition in a 40,600 ha basin burned on the 2017 wildfire of Chile. Remotely sensed data of topography, vegetation structure and spectral indices (SI) were used as predictors of random forest (RF) models. Litter sampled in 60 hillslopes after the fire provided training and validation data. Predictors selected by the Variable Selection Using Random Forests (VSURF) algorithm resulted in models for litter composition with acceptable accuracy (coefficient of determination, R 2 = 0.51–0.64, Normalized Root Mean Square Error, NRMSE = 16.9–22.1, percentage bias, pbias = −0.35%-0.5%). Modelled litter parameters decrease in concentration respect to the degree of burn severity, and the pre-fire biomass. Because pre-fire vegetation was conditioned by land cover and by a previous (2 years old) wildfire event, our results highlight the cumulative effect of severe wildfires in the depletion of litter composition.","internal_url":"https://www.academia.edu/115344565/An_operational_method_for_mapping_the_composition_of_post_fire_litter","translated_internal_url":"","created_at":"2024-02-24T03:34:57.896-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"An_operational_method_for_mapping_the_composition_of_post_fire_litter","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":188993,"name":"Litter","url":"https://www.academia.edu/Documents/in/Litter"},{"id":993832,"name":"Second Language Composition","url":"https://www.academia.edu/Documents/in/Second_Language_Composition"}],"urls":[{"id":39752226,"url":"https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2022.2040752"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344563"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344563/The_CAMELS_CL_dataset_links_to_files"><img alt="Research paper thumbnail of The CAMELS-CL dataset - links to files" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344563/The_CAMELS_CL_dataset_links_to_files">The CAMELS-CL dataset - links to files</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">CAMELS-CL relies on multiple data sources (including ground data, remote-sensed products and rean...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">CAMELS-CL relies on multiple data sources (including ground data, remote-sensed products and reanalyses) to characterise the hydroclimatic conditions and landscape of a region where in situ measurements are scarce. The dataset includes 516 catchments and provides boundaries, daily streamflow records and basin-averaged daily time series of precipitation (from one national and three global datasets), maximum, minimum and mean temperatures, potential evapotranspiration (PET; from two datasets), and snow water equivalent. We calculated hydro-climatological indices using these time series, and leveraged diverse data sources to extract topographic, geological and land cover features. Relying on publicly available reservoirs and water rights data for the country, we estimated the degree of anthropic intervention within the catchments. To facilitate the use of this dataset and promote common standards in large-sample studies, we computed most catchment attributes introduced by Addor et al. (2017) in their Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) dataset (doi:10.5065/D6G73C3Q), and added several others.---CAMELS-CL can be visualised from <a href="http://camels.cr2.cl---This" rel="nofollow">http://camels.cr2.cl---This</a> research emerged from the collaboration with many colleagues at the Center for Climate and Resilience Research (CR2, CONICYT/FONDAP/15110009). Camila Alvarez-Garreton was funded by FONDECYT postdoctoral grant no. 3170428. Pablo Mendoza received additional support from FONDECYT postdoctoral grant no. 3170079. Mauricio Zambrano-Bigiarini thanks FONDECYT 11150861 for financial support. The development of CR2MET was supported by the Chilean Water Directorate (DGA), through National Water Balance Updating Project DGA-2319, and by FONDECYT grant no. 3150492. This study is a contribution to the Large-sample Hydrology working group of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344563"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344563"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344563; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344563]").text(description); $(".js-view-count[data-work-id=115344563]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344563; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344563']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344563, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344563]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344563,"title":"The CAMELS-CL dataset - links to files","translated_title":"","metadata":{"abstract":"CAMELS-CL relies on multiple data sources (including ground data, remote-sensed products and reanalyses) to characterise the hydroclimatic conditions and landscape of a region where in situ measurements are scarce. The dataset includes 516 catchments and provides boundaries, daily streamflow records and basin-averaged daily time series of precipitation (from one national and three global datasets), maximum, minimum and mean temperatures, potential evapotranspiration (PET; from two datasets), and snow water equivalent. We calculated hydro-climatological indices using these time series, and leveraged diverse data sources to extract topographic, geological and land cover features. Relying on publicly available reservoirs and water rights data for the country, we estimated the degree of anthropic intervention within the catchments. To facilitate the use of this dataset and promote common standards in large-sample studies, we computed most catchment attributes introduced by Addor et al. (2017) in their Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) dataset (doi:10.5065/D6G73C3Q), and added several others.---CAMELS-CL can be visualised from http://camels.cr2.cl---This research emerged from the collaboration with many colleagues at the Center for Climate and Resilience Research (CR2, CONICYT/FONDAP/15110009). Camila Alvarez-Garreton was funded by FONDECYT postdoctoral grant no. 3170428. Pablo Mendoza received additional support from FONDECYT postdoctoral grant no. 3170079. Mauricio Zambrano-Bigiarini thanks FONDECYT 11150861 for financial support. The development of CR2MET was supported by the Chilean Water Directorate (DGA), through National Water Balance Updating Project DGA-2319, and by FONDECYT grant no. 3150492. This study is a contribution to the Large-sample Hydrology working group of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS).","publication_date":{"day":null,"month":null,"year":2018,"errors":{}}},"translated_abstract":"CAMELS-CL relies on multiple data sources (including ground data, remote-sensed products and reanalyses) to characterise the hydroclimatic conditions and landscape of a region where in situ measurements are scarce. The dataset includes 516 catchments and provides boundaries, daily streamflow records and basin-averaged daily time series of precipitation (from one national and three global datasets), maximum, minimum and mean temperatures, potential evapotranspiration (PET; from two datasets), and snow water equivalent. We calculated hydro-climatological indices using these time series, and leveraged diverse data sources to extract topographic, geological and land cover features. Relying on publicly available reservoirs and water rights data for the country, we estimated the degree of anthropic intervention within the catchments. To facilitate the use of this dataset and promote common standards in large-sample studies, we computed most catchment attributes introduced by Addor et al. (2017) in their Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) dataset (doi:10.5065/D6G73C3Q), and added several others.---CAMELS-CL can be visualised from http://camels.cr2.cl---This research emerged from the collaboration with many colleagues at the Center for Climate and Resilience Research (CR2, CONICYT/FONDAP/15110009). Camila Alvarez-Garreton was funded by FONDECYT postdoctoral grant no. 3170428. Pablo Mendoza received additional support from FONDECYT postdoctoral grant no. 3170079. Mauricio Zambrano-Bigiarini thanks FONDECYT 11150861 for financial support. The development of CR2MET was supported by the Chilean Water Directorate (DGA), through National Water Balance Updating Project DGA-2319, and by FONDECYT grant no. 3150492. This study is a contribution to the Large-sample Hydrology working group of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS).","internal_url":"https://www.academia.edu/115344563/The_CAMELS_CL_dataset_links_to_files","translated_internal_url":"","created_at":"2024-02-24T03:34:57.610-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_CAMELS_CL_dataset_links_to_files","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344561"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344561/Water_management_or_megadrought_what_caused_the_Chilean_Aculeo_Lake_drying"><img alt="Research paper thumbnail of Water management or megadrought: what caused the Chilean Aculeo Lake drying?" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344561/Water_management_or_megadrought_what_caused_the_Chilean_Aculeo_Lake_drying">Water management or megadrought: what caused the Chilean Aculeo Lake drying?</a></div><div class="wp-workCard_item"><span>Regional Environmental Change</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Aculeo Lake is an important natural reservoir of Central Chile, which provides valuable ecosy...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Aculeo Lake is an important natural reservoir of Central Chile, which provides valuable ecosystem services. This lake has suffered a rapid shrinkage of the water levels from year 2010 to 2018, and since October 2018, it is completely dry. This natural disaster is concurrent with a number of severe and uninterrupted drought years, along with sustained increases in water consumption associated to land use/land cover (LULC) changes. Severe water shortages and socio-environmental impacts were triggered by these changes, emphasizing the need to understand the causes of the lake desiccation to contribute in the design of future adaptation strategies. Thereby, the Water Evaluation and Planning (WEAP) hydrological model was used as a tool to quantify the water balance in the catchment. The model was run under a combination of three land use/land cover and two different climate scenarios that sample the cases with and without megadrought and with or without changes in land use. According to the results, the main triggering factor of the lake shrinkage is the severe megadrought, with annual rainfall deficits of about 38%, which resulted in amplified reductions in river flows (44%) and aquifer recharges (24%). The results indicate that the relative impact of the climate factor is more than 10 times larger than the impact of the observed LULC changes in the lake balance, highlighting the urgent need for adaptation strategies to deal with the projected drier futures.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344561"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344561"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344561; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344561]").text(description); $(".js-view-count[data-work-id=115344561]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344561; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344561']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344561, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344561]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344561,"title":"Water management or megadrought: what caused the Chilean Aculeo Lake drying?","translated_title":"","metadata":{"abstract":"The Aculeo Lake is an important natural reservoir of Central Chile, which provides valuable ecosystem services. This lake has suffered a rapid shrinkage of the water levels from year 2010 to 2018, and since October 2018, it is completely dry. This natural disaster is concurrent with a number of severe and uninterrupted drought years, along with sustained increases in water consumption associated to land use/land cover (LULC) changes. Severe water shortages and socio-environmental impacts were triggered by these changes, emphasizing the need to understand the causes of the lake desiccation to contribute in the design of future adaptation strategies. Thereby, the Water Evaluation and Planning (WEAP) hydrological model was used as a tool to quantify the water balance in the catchment. The model was run under a combination of three land use/land cover and two different climate scenarios that sample the cases with and without megadrought and with or without changes in land use. According to the results, the main triggering factor of the lake shrinkage is the severe megadrought, with annual rainfall deficits of about 38%, which resulted in amplified reductions in river flows (44%) and aquifer recharges (24%). The results indicate that the relative impact of the climate factor is more than 10 times larger than the impact of the observed LULC changes in the lake balance, highlighting the urgent need for adaptation strategies to deal with the projected drier futures.","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Regional Environmental Change"},"translated_abstract":"The Aculeo Lake is an important natural reservoir of Central Chile, which provides valuable ecosystem services. This lake has suffered a rapid shrinkage of the water levels from year 2010 to 2018, and since October 2018, it is completely dry. This natural disaster is concurrent with a number of severe and uninterrupted drought years, along with sustained increases in water consumption associated to land use/land cover (LULC) changes. Severe water shortages and socio-environmental impacts were triggered by these changes, emphasizing the need to understand the causes of the lake desiccation to contribute in the design of future adaptation strategies. Thereby, the Water Evaluation and Planning (WEAP) hydrological model was used as a tool to quantify the water balance in the catchment. The model was run under a combination of three land use/land cover and two different climate scenarios that sample the cases with and without megadrought and with or without changes in land use. According to the results, the main triggering factor of the lake shrinkage is the severe megadrought, with annual rainfall deficits of about 38%, which resulted in amplified reductions in river flows (44%) and aquifer recharges (24%). The results indicate that the relative impact of the climate factor is more than 10 times larger than the impact of the observed LULC changes in the lake balance, highlighting the urgent need for adaptation strategies to deal with the projected drier futures.","internal_url":"https://www.academia.edu/115344561/Water_management_or_megadrought_what_caused_the_Chilean_Aculeo_Lake_drying","translated_internal_url":"","created_at":"2024-02-24T03:34:57.250-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Water_management_or_megadrought_what_caused_the_Chilean_Aculeo_Lake_drying","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":79495,"name":"Land Cover","url":"https://www.academia.edu/Documents/in/Land_Cover"},{"id":123553,"name":"Water balance","url":"https://www.academia.edu/Documents/in/Water_balance"},{"id":156376,"name":"Water resource management","url":"https://www.academia.edu/Documents/in/Water_resource_management"}],"urls":[{"id":39752224,"url":"http://link.springer.com/content/pdf/10.1007/s10113-021-01750-w.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344560"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344560/Are_Remote_Sensing_Evapotranspiration_Models_Reliable_Across_South_American_Ecoregions"><img alt="Research paper thumbnail of Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?" class="work-thumbnail" src="https://attachments.academia-assets.com/111779349/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344560/Are_Remote_Sensing_Evapotranspiration_Models_Reliable_Across_South_American_Ecoregions">Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Many remote sensing‐based evapotranspiration (RSBET) algorithms have been proposed in the past de...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Many remote sensing‐based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT‐JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM‐MOD), and Penman–Monteith Nagler model (PM‐VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT‐JPL, and PM‐MOD and PM‐VI presenting overall better responses in terms of percent bias (%). As for PM‐VI, this outcome is expected, given that the model requires calibration with local data. ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="79054f6fff8820b88dd15ac467995661" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779349,"asset_id":115344560,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779349/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344560"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344560"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344560; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344560]").text(description); $(".js-view-count[data-work-id=115344560]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344560; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344560']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344560, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "79054f6fff8820b88dd15ac467995661" } } $('.js-work-strip[data-work-id=115344560]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344560,"title":"Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?","translated_title":"","metadata":{"abstract":"Many remote sensing‐based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT‐JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM‐MOD), and Penman–Monteith Nagler model (PM‐VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT‐JPL, and PM‐MOD and PM‐VI presenting overall better responses in terms of percent bias (%). As for PM‐VI, this outcome is expected, given that the model requires calibration with local data. ...","publisher":"American Geophysical Union (AGU)","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Water Resources Research"},"translated_abstract":"Many remote sensing‐based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT‐JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM‐MOD), and Penman–Monteith Nagler model (PM‐VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT‐JPL, and PM‐MOD and PM‐VI presenting overall better responses in terms of percent bias (%). As for PM‐VI, this outcome is expected, given that the model requires calibration with local data. ...","internal_url":"https://www.academia.edu/115344560/Are_Remote_Sensing_Evapotranspiration_Models_Reliable_Across_South_American_Ecoregions","translated_internal_url":"","created_at":"2024-02-24T03:34:57.071-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111779349,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779349/thumbnails/1.jpg","file_name":"8735205.pdf","download_url":"https://www.academia.edu/attachments/111779349/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Are_Remote_Sensing_Evapotranspiration_Mo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779349/8735205-libre.pdf?1708776699=\u0026response-content-disposition=attachment%3B+filename%3DAre_Remote_Sensing_Evapotranspiration_Mo.pdf\u0026Expires=1732745195\u0026Signature=CyJ5Mc0S4V6nOnRPtlg4GTyDiiIoprWqjybrUd2y360dqCwzrbYaHqas0s2-8~3D-m7hyT7xkR62Bb6WzJaUqJsfWZZ5OpoU5vBTchf~Na~YWO4z5g3azUYHrReloEoL9prlq-1fJB022-uUANY0c4yFbmk7CNOvZPakylq9nyjg5zCfPN0OdyIVp0Ey4gxV7g05oqnGNXDyHZwTIkqwmvUjcbNp3Jpy6ITqSF5L1yt-2JNHndyfX6JRxtn9WRuuaoz2wegoJQjIdavQg7EwFZDcxCLCmdxN95x3Bky5HOSvi2FJ7aIg80MYcJmPmVGUx~L7DTTZ-~c91HP8a2vhIw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Are_Remote_Sensing_Evapotranspiration_Models_Reliable_Across_South_American_Ecoregions","translated_slug":"","page_count":23,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":111779349,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779349/thumbnails/1.jpg","file_name":"8735205.pdf","download_url":"https://www.academia.edu/attachments/111779349/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Are_Remote_Sensing_Evapotranspiration_Mo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779349/8735205-libre.pdf?1708776699=\u0026response-content-disposition=attachment%3B+filename%3DAre_Remote_Sensing_Evapotranspiration_Mo.pdf\u0026Expires=1732745195\u0026Signature=CyJ5Mc0S4V6nOnRPtlg4GTyDiiIoprWqjybrUd2y360dqCwzrbYaHqas0s2-8~3D-m7hyT7xkR62Bb6WzJaUqJsfWZZ5OpoU5vBTchf~Na~YWO4z5g3azUYHrReloEoL9prlq-1fJB022-uUANY0c4yFbmk7CNOvZPakylq9nyjg5zCfPN0OdyIVp0Ey4gxV7g05oqnGNXDyHZwTIkqwmvUjcbNp3Jpy6ITqSF5L1yt-2JNHndyfX6JRxtn9WRuuaoz2wegoJQjIdavQg7EwFZDcxCLCmdxN95x3Bky5HOSvi2FJ7aIg80MYcJmPmVGUx~L7DTTZ-~c91HP8a2vhIw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":4526,"name":"Water resources","url":"https://www.academia.edu/Documents/in/Water_resources"},{"id":27659,"name":"Applied Economics","url":"https://www.academia.edu/Documents/in/Applied_Economics"},{"id":99629,"name":"Evapotranspiration","url":"https://www.academia.edu/Documents/in/Evapotranspiration"},{"id":789599,"name":"Biome","url":"https://www.academia.edu/Documents/in/Biome"}],"urls":[{"id":39752223,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR028752"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344559"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344559/Disentangling_the_effect_of_future_land_use_strategies_and_climate_change_on_streamflow_in_a_Mediterranean_catchment_dominated_by_tree_plantations"><img alt="Research paper thumbnail of Disentangling the effect of future land use strategies and climate change on streamflow in a Mediterranean catchment dominated by tree plantations" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344559/Disentangling_the_effect_of_future_land_use_strategies_and_climate_change_on_streamflow_in_a_Mediterranean_catchment_dominated_by_tree_plantations">Disentangling the effect of future land use strategies and climate change on streamflow in a Mediterranean catchment dominated by tree plantations</a></div><div class="wp-workCard_item"><span>Journal of Hydrology</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Climate change (CC) along with Land Use and Land Cover Change (LULCC) have a strong infl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Climate change (CC) along with Land Use and Land Cover Change (LULCC) have a strong influence in water availability in already fragile Mediterranean ecosystems. In this work the Soil and Water Assessment Tool (SWAT) was implemented for the 2006–2018 period in a rainfed catchment of central Chile (36°) to test the hypothesis that adaptive plantation strategies could mitigate the impacts of climate change and increase streamflow. We also hypothesize that afforestation with exotic tree plantations will reduce water availability in Mediterranean catchments, acting in synergy with climate change. Five LULCC scenarios are analyzed: i) current long-term national Forest Policy (FP), ii) extreme scenario (EX) with large afforestation surfaces, both including the replacement of native shrublands with Pinus radiata; iii) adaptive plantation management scenario (FM), with lower planting density, iv) forced land displacement scenario (FLD), where plantations at the headwaters are moved to lowland areas and replaced with native shrublands, and v) pristine scenario (PR), with only native vegetation. Each LULCC scenario was run with present climate and with projections of different CMIP5 climate models under the RCP 8.5 scenario for the period 2037–2050, and then compared against simulations based on the present land cover and climate. Simulations with the five LULCC scenarios (FP, EX, FM, FLD and PR) with present climate resulted in variations of −2.5, −17.3, 0, 2.3 and 10.9% on mean annual streamflow (Q), while simulations with the current land cover and CC projections produced a 32.1% decrease in mean annual Q. The joint impact of CC and LULCC leads to changes in mean annual Q ranging from −46.2% (EX) to –23.3% (PR). Afforestation with exotic pines will intensify the reduction in water yield, while conservative scenarios focused on native forests protection and restoration could partially mitigate the effect of CC. We make a strong call to rethink current and future land management strategies to cope with lower water availability in a drier future.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344559"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344559"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344559; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344559]").text(description); $(".js-view-count[data-work-id=115344559]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344559; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344559']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344559, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344559]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344559,"title":"Disentangling the effect of future land use strategies and climate change on streamflow in a Mediterranean catchment dominated by tree plantations","translated_title":"","metadata":{"abstract":"Abstract Climate change (CC) along with Land Use and Land Cover Change (LULCC) have a strong influence in water availability in already fragile Mediterranean ecosystems. In this work the Soil and Water Assessment Tool (SWAT) was implemented for the 2006–2018 period in a rainfed catchment of central Chile (36°) to test the hypothesis that adaptive plantation strategies could mitigate the impacts of climate change and increase streamflow. We also hypothesize that afforestation with exotic tree plantations will reduce water availability in Mediterranean catchments, acting in synergy with climate change. Five LULCC scenarios are analyzed: i) current long-term national Forest Policy (FP), ii) extreme scenario (EX) with large afforestation surfaces, both including the replacement of native shrublands with Pinus radiata; iii) adaptive plantation management scenario (FM), with lower planting density, iv) forced land displacement scenario (FLD), where plantations at the headwaters are moved to lowland areas and replaced with native shrublands, and v) pristine scenario (PR), with only native vegetation. Each LULCC scenario was run with present climate and with projections of different CMIP5 climate models under the RCP 8.5 scenario for the period 2037–2050, and then compared against simulations based on the present land cover and climate. Simulations with the five LULCC scenarios (FP, EX, FM, FLD and PR) with present climate resulted in variations of −2.5, −17.3, 0, 2.3 and 10.9% on mean annual streamflow (Q), while simulations with the current land cover and CC projections produced a 32.1% decrease in mean annual Q. The joint impact of CC and LULCC leads to changes in mean annual Q ranging from −46.2% (EX) to –23.3% (PR). Afforestation with exotic pines will intensify the reduction in water yield, while conservative scenarios focused on native forests protection and restoration could partially mitigate the effect of CC. We make a strong call to rethink current and future land management strategies to cope with lower water availability in a drier future.","publisher":"Elsevier BV","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Journal of Hydrology"},"translated_abstract":"Abstract Climate change (CC) along with Land Use and Land Cover Change (LULCC) have a strong influence in water availability in already fragile Mediterranean ecosystems. In this work the Soil and Water Assessment Tool (SWAT) was implemented for the 2006–2018 period in a rainfed catchment of central Chile (36°) to test the hypothesis that adaptive plantation strategies could mitigate the impacts of climate change and increase streamflow. We also hypothesize that afforestation with exotic tree plantations will reduce water availability in Mediterranean catchments, acting in synergy with climate change. Five LULCC scenarios are analyzed: i) current long-term national Forest Policy (FP), ii) extreme scenario (EX) with large afforestation surfaces, both including the replacement of native shrublands with Pinus radiata; iii) adaptive plantation management scenario (FM), with lower planting density, iv) forced land displacement scenario (FLD), where plantations at the headwaters are moved to lowland areas and replaced with native shrublands, and v) pristine scenario (PR), with only native vegetation. Each LULCC scenario was run with present climate and with projections of different CMIP5 climate models under the RCP 8.5 scenario for the period 2037–2050, and then compared against simulations based on the present land cover and climate. Simulations with the five LULCC scenarios (FP, EX, FM, FLD and PR) with present climate resulted in variations of −2.5, −17.3, 0, 2.3 and 10.9% on mean annual streamflow (Q), while simulations with the current land cover and CC projections produced a 32.1% decrease in mean annual Q. The joint impact of CC and LULCC leads to changes in mean annual Q ranging from −46.2% (EX) to –23.3% (PR). Afforestation with exotic pines will intensify the reduction in water yield, while conservative scenarios focused on native forests protection and restoration could partially mitigate the effect of CC. We make a strong call to rethink current and future land management strategies to cope with lower water availability in a drier future.","internal_url":"https://www.academia.edu/115344559/Disentangling_the_effect_of_future_land_use_strategies_and_climate_change_on_streamflow_in_a_Mediterranean_catchment_dominated_by_tree_plantations","translated_internal_url":"","created_at":"2024-02-24T03:34:56.911-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Disentangling_the_effect_of_future_land_use_strategies_and_climate_change_on_streamflow_in_a_Mediterranean_catchment_dominated_by_tree_plantations","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":2549,"name":"Hydrology","url":"https://www.academia.edu/Documents/in/Hydrology"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":79495,"name":"Land Cover","url":"https://www.academia.edu/Documents/in/Land_Cover"},{"id":142811,"name":"Streamflow","url":"https://www.academia.edu/Documents/in/Streamflow"},{"id":238830,"name":"Shrubland","url":"https://www.academia.edu/Documents/in/Shrubland"},{"id":314820,"name":"Afforestation","url":"https://www.academia.edu/Documents/in/Afforestation"},{"id":564368,"name":"Mediterranean Climate","url":"https://www.academia.edu/Documents/in/Mediterranean_Climate"}],"urls":[{"id":39752222,"url":"https://api.elsevier.com/content/article/PII:S0022169421000949?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344558"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344558/Assessment_of_quality_of_input_data_used_to_classify_ecosystems_according_to_the_IUCN_Red_List_methodology_The_case_of_the_central_Chile_hotspot"><img alt="Research paper thumbnail of Assessment of quality of input data used to classify ecosystems according to the IUCN Red List methodology: The case of the central Chile hotspot" class="work-thumbnail" src="https://attachments.academia-assets.com/111779348/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344558/Assessment_of_quality_of_input_data_used_to_classify_ecosystems_according_to_the_IUCN_Red_List_methodology_The_case_of_the_central_Chile_hotspot">Assessment of quality of input data used to classify ecosystems according to the IUCN Red List methodology: The case of the central Chile hotspot</a></div><div class="wp-workCard_item"><span>Biological Conservation</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7858fff3c2c2ee7b983e3448ec3e30a2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779348,"asset_id":115344558,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779348/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344558"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344558"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344558; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344558]").text(description); $(".js-view-count[data-work-id=115344558]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344558; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344558']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344558, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7858fff3c2c2ee7b983e3448ec3e30a2" } } $('.js-work-strip[data-work-id=115344558]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344558,"title":"Assessment of quality of input data used to classify ecosystems according to the IUCN Red List methodology: The case of the central Chile hotspot","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"During the last decade, the IUCN has developed criteria analogous to the Red List of Threatened Species to perform similar risk assessment on ecosystems, creating the Red List of Ecosystems methodology. One of the most significant challenges for the construction of these lists is the gathering and availability of the information needed to apply the criteria. We present a complement to the IUCN's methodology to assess the threat level to ecosystems, estimating the spatial and temporal quality of the information available in scientific publications. We did this by applying the IUCN criteria to determine the threat level to the sclerophyll ecosystems of central Chile. Spatially explicit studies that identify disturbances in the structure of the vegetation were selected, making it possible to quantify effectively the reduction in the ecosystems' distribution. The spatial and temporal quality of the assessment were estimated as the percentage of the potential ecosystem distribution and the time frame recommended by the IUCN (50 years), that the studies represented for each ecosystem. The application of the methodology allowed the assessment of a high percentage of the ecosystems (85%), which were classified based on the studies with ranges of temporal quality from 30 to 100% and spatial quality from 12 to 100%. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344507"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344507/Surviving_in_a_hostile_landscape_Nothofagus_alessandrii_remnant_forests_threatened_by_mega_fires_and_exotic_pine_invasion_in_the_coastal_range_of_central_Chile"><img alt="Research paper thumbnail of Surviving in a hostile landscape: Nothofagus alessandrii remnant forests threatened by mega-fires and exotic pine invasion in the coastal range of central Chile" class="work-thumbnail" src="https://attachments.academia-assets.com/111779291/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344507/Surviving_in_a_hostile_landscape_Nothofagus_alessandrii_remnant_forests_threatened_by_mega_fires_and_exotic_pine_invasion_in_the_coastal_range_of_central_Chile">Surviving in a hostile landscape: Nothofagus alessandrii remnant forests threatened by mega-fires and exotic pine invasion in the coastal range of central Chile</a></div><div class="wp-workCard_item"><span>Oryx</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Nothofagus alessandrii, categorized as Endangered on the IUCN Red List, is an endemic, deciduous ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Nothofagus alessandrii, categorized as Endangered on the IUCN Red List, is an endemic, deciduous tree species of the coastal range of central Chile. We assessed the effects of fire severity, invasion by the exotic fire-prone Pinus radiata, and land-cover composition and configuration of the landscape on the resilience of fragments of N. alessandrii after a mega-fire in 2017. We used remote sensing data to estimate land-use classes and cover, fire severity and invasion cover of P. radiata. We monitored forest composition and structure and post-fire responses of N. alessandrii forests in situ for 2 years after the mega-fire. In the coastal Maule region wildfires have been favoured by intense drought and widespread exotic pine plantations, increasing the ability of fire-adapted invasive species to colonize native forest remnants. Over 85% of N. alessandrii forests were moderately or severely burnt. The propagation and severity of fire was probably amplified by the exotic pines located ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1c5f8abdecf3eaf7460a2472d3563aa8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779291,"asset_id":115344507,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779291/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344507"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344507"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344507; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344507]").text(description); $(".js-view-count[data-work-id=115344507]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344507; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344507']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344507, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "1c5f8abdecf3eaf7460a2472d3563aa8" } } $('.js-work-strip[data-work-id=115344507]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344507,"title":"Surviving in a hostile landscape: Nothofagus alessandrii remnant forests threatened by mega-fires and exotic pine invasion in the coastal range of central Chile","translated_title":"","metadata":{"abstract":"Nothofagus alessandrii, categorized as Endangered on the IUCN Red List, is an endemic, deciduous tree species of the coastal range of central Chile. We assessed the effects of fire severity, invasion by the exotic fire-prone Pinus radiata, and land-cover composition and configuration of the landscape on the resilience of fragments of N. alessandrii after a mega-fire in 2017. We used remote sensing data to estimate land-use classes and cover, fire severity and invasion cover of P. radiata. We monitored forest composition and structure and post-fire responses of N. alessandrii forests in situ for 2 years after the mega-fire. In the coastal Maule region wildfires have been favoured by intense drought and widespread exotic pine plantations, increasing the ability of fire-adapted invasive species to colonize native forest remnants. Over 85% of N. alessandrii forests were moderately or severely burnt. The propagation and severity of fire was probably amplified by the exotic pines located ...","publisher":"Cambridge University Press (CUP)","publication_name":"Oryx"},"translated_abstract":"Nothofagus alessandrii, categorized as Endangered on the IUCN Red List, is an endemic, deciduous tree species of the coastal range of central Chile. We assessed the effects of fire severity, invasion by the exotic fire-prone Pinus radiata, and land-cover composition and configuration of the landscape on the resilience of fragments of N. alessandrii after a mega-fire in 2017. We used remote sensing data to estimate land-use classes and cover, fire severity and invasion cover of P. radiata. We monitored forest composition and structure and post-fire responses of N. alessandrii forests in situ for 2 years after the mega-fire. 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The propagation and severity of fire was probably amplified by the exotic pines located ...","internal_url":"https://www.academia.edu/115344507/Surviving_in_a_hostile_landscape_Nothofagus_alessandrii_remnant_forests_threatened_by_mega_fires_and_exotic_pine_invasion_in_the_coastal_range_of_central_Chile","translated_internal_url":"","created_at":"2024-02-24T03:34:09.332-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111779291,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779291/thumbnails/1.jpg","file_name":"S0030605322000102.pdf","download_url":"https://www.academia.edu/attachments/111779291/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Surviving_in_a_hostile_landscape_Nothofa.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779291/S0030605322000102-libre.pdf?1708776680=\u0026response-content-disposition=attachment%3B+filename%3DSurviving_in_a_hostile_landscape_Nothofa.pdf\u0026Expires=1732745195\u0026Signature=N5KB4RLZEDO46HEfPVDHnGYt9iI-lmELan~2J9Z~uwIeG~oRyLIPm4vh7LIaV1nFfD1V18nL0kKZ67S~ht0mucDAK8kVWOjOw2uCN8QNX0aS1zydyl0ekS64EQ-IaR~h2~g3IFRVqN92HOGWoMVUX~YaAiUKn8rXxANLauYOM4~xpi~XSNeaMcxiSTQ7zdTPJweZvyyp3SM68nH33v2Hc~UHqHGF86kfSv-pP6QE3WWsJq48QMOaND08Lx9IicWrUZtbyz~7-0yX6OMdBRbw9OuCt7EP5auKYQLwyP~p3S7DftWoYpDo5j6XS~xEaAsxcqPT-CIvYgVFd9yi32cH-g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Surviving_in_a_hostile_landscape_Nothofagus_alessandrii_remnant_forests_threatened_by_mega_fires_and_exotic_pine_invasion_in_the_coastal_range_of_central_Chile","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":111779291,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779291/thumbnails/1.jpg","file_name":"S0030605322000102.pdf","download_url":"https://www.academia.edu/attachments/111779291/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Surviving_in_a_hostile_landscape_Nothofa.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779291/S0030605322000102-libre.pdf?1708776680=\u0026response-content-disposition=attachment%3B+filename%3DSurviving_in_a_hostile_landscape_Nothofa.pdf\u0026Expires=1732745195\u0026Signature=N5KB4RLZEDO46HEfPVDHnGYt9iI-lmELan~2J9Z~uwIeG~oRyLIPm4vh7LIaV1nFfD1V18nL0kKZ67S~ht0mucDAK8kVWOjOw2uCN8QNX0aS1zydyl0ekS64EQ-IaR~h2~g3IFRVqN92HOGWoMVUX~YaAiUKn8rXxANLauYOM4~xpi~XSNeaMcxiSTQ7zdTPJweZvyyp3SM68nH33v2Hc~UHqHGF86kfSv-pP6QE3WWsJq48QMOaND08Lx9IicWrUZtbyz~7-0yX6OMdBRbw9OuCt7EP5auKYQLwyP~p3S7DftWoYpDo5j6XS~xEaAsxcqPT-CIvYgVFd9yi32cH-g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":111779292,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779292/thumbnails/1.jpg","file_name":"S0030605322000102.pdf","download_url":"https://www.academia.edu/attachments/111779292/download_file","bulk_download_file_name":"Surviving_in_a_hostile_landscape_Nothofa.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779292/S0030605322000102-libre.pdf?1708776680=\u0026response-content-disposition=attachment%3B+filename%3DSurviving_in_a_hostile_landscape_Nothofa.pdf\u0026Expires=1732745195\u0026Signature=gsAk-GttESjWQDzAUEa1lIrAwGE5SBZCsbnTEF1hk-DtHORpY-UCeZjUfewKBf86Kbs75WRJIqd4sYP4leCK7O7sbu4Zh07CrwrgGGmGf2rcSTVfMkI3cCX8PP4nvAyZZ0DyojPcLTig~XYFc6T3T~h7t29G5e7OJacC4~91uPe8bZXf9SCDuY11qAdqLdbipvzEHQ7pHxRCCajXmiEPjaOBe1TQz38Uxhde39firxloqVg3WjUn4Fcu8wjV72nHdDRNQl-U~7la7Y0aiA5drwFUsJS4nb36zKsKhjux2bscTOUhRrJjzv1x5Lwv9qqHRBloea0xlpBTASj12EV2TQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":173,"name":"Zoology","url":"https://www.academia.edu/Documents/in/Zoology"},{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":5499,"name":"Fire Ecology","url":"https://www.academia.edu/Documents/in/Fire_Ecology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":376955,"name":"Threatened Species","url":"https://www.academia.edu/Documents/in/Threatened_Species"},{"id":1566496,"name":"Fire regime","url":"https://www.academia.edu/Documents/in/Fire_regime"},{"id":1957240,"name":"ENVIRONMENTAL SCIENCE AND MANAGEMENT","url":"https://www.academia.edu/Documents/in/ENVIRONMENTAL_SCIENCE_AND_MANAGEMENT"}],"urls":[{"id":39752193,"url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0030605322000102"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="105651220"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/105651220/Paquete_tecnol%C3%B3gico_para_la_optimizaci%C3%B3n_del_recurso_h%C3%ADdrico_en_peque%C3%B1os_productores_de_aguacates_y_c%C3%ADtricos_en_Chile_Central"><img alt="Research paper thumbnail of Paquete tecnológico para la optimización del recurso hídrico en pequeños productores de aguacates y cítricos en Chile Central" class="work-thumbnail" src="https://attachments.academia-assets.com/105051124/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/105651220/Paquete_tecnol%C3%B3gico_para_la_optimizaci%C3%B3n_del_recurso_h%C3%ADdrico_en_peque%C3%B1os_productores_de_aguacates_y_c%C3%ADtricos_en_Chile_Central">Paquete tecnológico para la optimización del recurso hídrico en pequeños productores de aguacates y cítricos en Chile Central</a></div><div class="wp-workCard_item"><span>Aqua-LAC</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">En un contexto de cambio climático con menor disponibilidad de agua, resulta relevante incorporar...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">En un contexto de cambio climático con menor disponibilidad de agua, resulta relevante incorporar tecnologías de riego que facilitan el uso eficiente y sustentable del agua en la agricultura familiar campesina (AFC). Por ello, se aplicó una metodología de estimación del tiempo y frecuencia de riego, utilizando tecnologías para el seguimiento del estado de la vegetación, la humedad de suelo y el diagnóstico físico de los suelos. Esta metodología se aplicó durante tres temporadas en huertos de aguacate y cítricos de 40 productores pertenecientes a la AFC de la región de O’Higgins, incorporando un fuerte componente de transferencia tecnológica. Los resultados indican que la principal limitante productiva, desde el punto de vista físico del suelo, correspondió al bajo nivel de poros gruesos (&gt;50 μm), los cuales no superaron el 15% en el 60% de los casos, y, sumado a un ineficiente manejo del riego (sistemas de riego con baja mantención y erróneas prácticas de riego), ha limitado la p...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d80d9c25c121e8c80a38c9cbdb8bbcd9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105051124,"asset_id":105651220,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105051124/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="105651220"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="105651220"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 105651220; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=105651220]").text(description); $(".js-view-count[data-work-id=105651220]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 105651220; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='105651220']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 105651220, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d80d9c25c121e8c80a38c9cbdb8bbcd9" } } $('.js-work-strip[data-work-id=105651220]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":105651220,"title":"Paquete tecnológico para la optimización del recurso hídrico en pequeños productores de aguacates y cítricos en Chile Central","translated_title":"","metadata":{"abstract":"En un contexto de cambio climático con menor disponibilidad de agua, resulta relevante incorporar tecnologías de riego que facilitan el uso eficiente y sustentable del agua en la agricultura familiar campesina (AFC). Por ello, se aplicó una metodología de estimación del tiempo y frecuencia de riego, utilizando tecnologías para el seguimiento del estado de la vegetación, la humedad de suelo y el diagnóstico físico de los suelos. Esta metodología se aplicó durante tres temporadas en huertos de aguacate y cítricos de 40 productores pertenecientes a la AFC de la región de O’Higgins, incorporando un fuerte componente de transferencia tecnológica. Los resultados indican que la principal limitante productiva, desde el punto de vista físico del suelo, correspondió al bajo nivel de poros gruesos (\u0026gt;50 μm), los cuales no superaron el 15% en el 60% de los casos, y, sumado a un ineficiente manejo del riego (sistemas de riego con baja mantención y erróneas prácticas de riego), ha limitado la p...","publisher":"UNESCO","publication_name":"Aqua-LAC"},"translated_abstract":"En un contexto de cambio climático con menor disponibilidad de agua, resulta relevante incorporar tecnologías de riego que facilitan el uso eficiente y sustentable del agua en la agricultura familiar campesina (AFC). Por ello, se aplicó una metodología de estimación del tiempo y frecuencia de riego, utilizando tecnologías para el seguimiento del estado de la vegetación, la humedad de suelo y el diagnóstico físico de los suelos. Esta metodología se aplicó durante tres temporadas en huertos de aguacate y cítricos de 40 productores pertenecientes a la AFC de la región de O’Higgins, incorporando un fuerte componente de transferencia tecnológica. Los resultados indican que la principal limitante productiva, desde el punto de vista físico del suelo, correspondió al bajo nivel de poros gruesos (\u0026gt;50 μm), los cuales no superaron el 15% en el 60% de los casos, y, sumado a un ineficiente manejo del riego (sistemas de riego con baja mantención y erróneas prácticas de riego), ha limitado la p...","internal_url":"https://www.academia.edu/105651220/Paquete_tecnol%C3%B3gico_para_la_optimizaci%C3%B3n_del_recurso_h%C3%ADdrico_en_peque%C3%B1os_productores_de_aguacates_y_c%C3%ADtricos_en_Chile_Central","translated_internal_url":"","created_at":"2023-08-16T06:09:00.559-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105051124,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051124/thumbnails/1.jpg","file_name":"236.pdf","download_url":"https://www.academia.edu/attachments/105051124/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Paquete_tecnologico_para_la_optimizacion.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051124/236-libre.pdf?1692192678=\u0026response-content-disposition=attachment%3B+filename%3DPaquete_tecnologico_para_la_optimizacion.pdf\u0026Expires=1732745195\u0026Signature=bwn1h4jhhVJL6cPC~zgOUugrFDZF0aX3PDtPBfykUrBZQ4YZQGZXQkN92fv391MBGi8iX77bxY96vdlLGcpsdwzKMnO8xwwGXgwP7VxBFs90oV~7GfMMeml5cNkDBueB4HgEuI-Sl0iy705vSa~DIey6jcFuKzmWbtsE~9ws2925tuv~4sDiMIdueDc3Xl09C28JCm0zblkRXmQb8AOMifFQhFBYHvmTEJPNoJWfKaATbH2Ru4T7gb8bXDP8gZO09xOb6FqmqgTMusERX0AsieRxvUi01G4Cve0-3Jb8rioAFoSdjwRkOp8ru1Ax~Mza6fhQsw3QIOGlj94qmVjCmQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Paquete_tecnológico_para_la_optimización_del_recurso_hídrico_en_pequeños_productores_de_aguacates_y_cítricos_en_Chile_Central","translated_slug":"","page_count":18,"language":"es","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":105051124,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051124/thumbnails/1.jpg","file_name":"236.pdf","download_url":"https://www.academia.edu/attachments/105051124/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Paquete_tecnologico_para_la_optimizacion.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051124/236-libre.pdf?1692192678=\u0026response-content-disposition=attachment%3B+filename%3DPaquete_tecnologico_para_la_optimizacion.pdf\u0026Expires=1732745195\u0026Signature=bwn1h4jhhVJL6cPC~zgOUugrFDZF0aX3PDtPBfykUrBZQ4YZQGZXQkN92fv391MBGi8iX77bxY96vdlLGcpsdwzKMnO8xwwGXgwP7VxBFs90oV~7GfMMeml5cNkDBueB4HgEuI-Sl0iy705vSa~DIey6jcFuKzmWbtsE~9ws2925tuv~4sDiMIdueDc3Xl09C28JCm0zblkRXmQb8AOMifFQhFBYHvmTEJPNoJWfKaATbH2Ru4T7gb8bXDP8gZO09xOb6FqmqgTMusERX0AsieRxvUi01G4Cve0-3Jb8rioAFoSdjwRkOp8ru1Ax~Mza6fhQsw3QIOGlj94qmVjCmQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":105051123,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051123/thumbnails/1.jpg","file_name":"236.pdf","download_url":"https://www.academia.edu/attachments/105051123/download_file","bulk_download_file_name":"Paquete_tecnologico_para_la_optimizacion.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051123/236-libre.pdf?1692192674=\u0026response-content-disposition=attachment%3B+filename%3DPaquete_tecnologico_para_la_optimizacion.pdf\u0026Expires=1732745195\u0026Signature=G8~SVxccOgHm7rb76VzVFLdjQaGuezYbwWi5B-~44V5cIFzNdvs~4OA~x2NrYCcIZfVo-8gwafW6eS~mhqDpAzhyMlwhyG4UuYT3gRAE4mnfJXVR0wxP1gO2hQ0ikmu5z-xnBBF3yPlNE1B4mHPM--7SxNyTcecj9guiO1Rftke1A8~SZAwRCV6v7Ju1M-owBgERRUQ5LPqgHdh~CnlC6x9cbr4XBBi15LL8QS8jbe7xor8fUTwn8nKMFqGHFlzP5u4jGQ-tWF23Z-A45Emm4WEjoAtdmC8lG2sNfGyyCMS6ACQbfqfXi~K0WX4SbgybbFpJkhAjUr2GIYqyVciWMA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":951,"name":"Humanities","url":"https://www.academia.edu/Documents/in/Humanities"}],"urls":[{"id":33454460,"url":"https://aqua-lac.org/index.php/Aqua-LAC/article/download/264/236/"}]}, dispatcherData: dispatcherData }); 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a552d1c3bdc65b2c231ae0945b83eb82" } } $('.js-work-strip[data-work-id=105651218]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":105651218,"title":"Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Vegetation biomass is a globally important climate-relevant terrestrial carbon pool and also drives local hydrological systems via evapotranspiration. Vegetation biomass of individual vegetation types has been successfully estimated from active and passive remote sensing data. However, for many tasks, landscape-level biomass maps across several vegetation types are more suitable than biomass maps of individual vegetation types. For example, the validation of ecohydrological models and carbon budgeting typically requires spatially continuous biomass estimates, independent from vegetation type. Studies that derive biomass estimates across multiple vegetation or land-cover types to merge them into a single landscape-level biomass map are still scarce, and corresponding workflows must be developed. Here, we present a workflow to derive biomass estimates on landscape-level for a large watershed in central Chile. Our workflow has three steps: First, we combine field plotbased biomass estimates with spectral and structural information collected from Sentinel-2, TanDEM-X and airborne LiDAR data to map grassland, shrubland, native forests and pine plantation biomass using random forest regressions with an automatic feature selection. Second, we predict all models to the entire landscape. Third, we derive a land-cover map including the four considered vegetation types. We then use this land-cover map to assign the correct vegetation type-specific biomass estimate to each pixel according to one of the four considered vegetation types. Using a single repeatable workflow, we obtained biomass predictions comparable to earlier studies focusing on only one of the four vegetation types (Spearman correlation between 0.80 and 0.84; normalized-RMSE below 16 % for all vegetation types). For all woody vegetation types, height metrics were amongst the selected predictors, while for grasslands, only Sentinel-2 bands were selected. The land-cover was also mapped with high accuracy (OA = 83.1 %). The final landscape-level biomass map spatially agrees well with the known biomass distribution patterns in the watershed. Progressing from vegetation-type specific maps towards landscape-level biomass maps is an essential step towards integrating remote-sensing based biomass estimates into models for water and carbon management.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"International Journal of Applied Earth Observation and Geoinformation","grobid_abstract_attachment_id":105051154},"translated_abstract":null,"internal_url":"https://www.academia.edu/105651218/Using_Sentinel_2_and_canopy_height_models_to_derive_a_landscape_level_biomass_map_covering_multiple_vegetation_types","translated_internal_url":"","created_at":"2023-08-16T06:09:00.141-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105051154,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051154/thumbnails/1.jpg","file_name":"89371763.pdf","download_url":"https://www.academia.edu/attachments/105051154/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Using_Sentinel_2_and_canopy_height_model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051154/89371763-libre.pdf?1692192690=\u0026response-content-disposition=attachment%3B+filename%3DUsing_Sentinel_2_and_canopy_height_model.pdf\u0026Expires=1732745195\u0026Signature=Wvlu4yHca3vtGzxtoWzATgIoe9hvAmJk3~Ihn~0-ynHwHTkmZ0f015kZfpdwXsavHKtVc1J1B~Ddz9FPOCHQMtux8Gxgm-2nwmforkgBkPDeiRKLJELZ4kfYIu3OE-UaCmG-BJ-8pRirgWH6jXt7Z6xUae2DtlOlP-UDMDyYLdrebmqZn-Y-nmg44MBz3qh5tmtccON~o5RDxuzV-HU27cUJQhFHU0kUe7EDss9GFFHA1XVBitdbPtQQ51OFs4xlCXuCGcNa1lEf~0wBIPl6dT707nxekBevA4zt5fowVjOMrAxglXvv4gJonF0Z79w-Z3mCbxHC1Ym-UB97~9Eesw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Using_Sentinel_2_and_canopy_height_models_to_derive_a_landscape_level_biomass_map_covering_multiple_vegetation_types","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":105051154,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051154/thumbnails/1.jpg","file_name":"89371763.pdf","download_url":"https://www.academia.edu/attachments/105051154/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Using_Sentinel_2_and_canopy_height_model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051154/89371763-libre.pdf?1692192690=\u0026response-content-disposition=attachment%3B+filename%3DUsing_Sentinel_2_and_canopy_height_model.pdf\u0026Expires=1732745195\u0026Signature=Wvlu4yHca3vtGzxtoWzATgIoe9hvAmJk3~Ihn~0-ynHwHTkmZ0f015kZfpdwXsavHKtVc1J1B~Ddz9FPOCHQMtux8Gxgm-2nwmforkgBkPDeiRKLJELZ4kfYIu3OE-UaCmG-BJ-8pRirgWH6jXt7Z6xUae2DtlOlP-UDMDyYLdrebmqZn-Y-nmg44MBz3qh5tmtccON~o5RDxuzV-HU27cUJQhFHU0kUe7EDss9GFFHA1XVBitdbPtQQ51OFs4xlCXuCGcNa1lEf~0wBIPl6dT707nxekBevA4zt5fowVjOMrAxglXvv4gJonF0Z79w-Z3mCbxHC1Ym-UB97~9Eesw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":5411,"name":"Biomass","url":"https://www.academia.edu/Documents/in/Biomass"},{"id":79495,"name":"Land Cover","url":"https://www.academia.edu/Documents/in/Land_Cover"},{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering"},{"id":1389742,"name":"Copernicus Sentinel-2 (MSI) Mission","url":"https://www.academia.edu/Documents/in/Copernicus_Sentinel-2_MSI_Mission"}],"urls":[{"id":33454459,"url":"https://api.elsevier.com/content/article/PII:S0303243420308795?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=105651217]").text(description); $(".js-view-count[data-work-id=105651217]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 105651217; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='105651217']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 105651217, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5862f38e9be0d551ce1c60d2d97e190e" } } $('.js-work-strip[data-work-id=105651217]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":105651217,"title":"CHLSOC: The Chilean Soil Organic Carbon database, a multi-institutional collaborative effort","translated_title":"","metadata":{"publisher":"Copernicus GmbH","grobid_abstract":"One of the critical aspects in modelling soil organic carbon (SOC) predictions is the lack of access to soil information which is usually concentrated in regions of high agricultural interest. In Chile, most soil and SOC data to date is highly concentrated in 25% of the territory that has intensive agricultural or forestry use. Vast areas beyond those forms of land use have few or no soil data available. Here, we present a new database of SOC for the country, which is the result of an unprecedented national effort under the frame of the Global Soil Partnership that help to build the largest database on SOC to","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"grobid_abstract_attachment_id":105051150},"translated_abstract":null,"internal_url":"https://www.academia.edu/105651217/CHLSOC_The_Chilean_Soil_Organic_Carbon_database_a_multi_institutional_collaborative_effort","translated_internal_url":"","created_at":"2023-08-16T06:08:59.938-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105051150,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051150/thumbnails/1.jpg","file_name":"essd-2019-161.pdf","download_url":"https://www.academia.edu/attachments/105051150/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CHLSOC_The_Chilean_Soil_Organic_Carbon_d.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051150/essd-2019-161-libre.pdf?1692192669=\u0026response-content-disposition=attachment%3B+filename%3DCHLSOC_The_Chilean_Soil_Organic_Carbon_d.pdf\u0026Expires=1732745195\u0026Signature=F5MLLGzZ9HNeMRwwN3ttKxJV18B4tQ4GcHw85vdzxPeapGq7lvOiObyd6bBIzp5Y2I-O7M9ZQVNCMuBvfNcmFqI~GvYYLM3Yq5G~cuGpwzzWuvQ1kISIzj5CNDKmqgikS2LzCSOWY~uVnO7Eg36bjQ0iIVE--86DjYwwAMtEVu1azM8uY3iaaZdJiQ-4gK6u6pQrSdOdS4Arh4lKUwYhYWwXoscvxqib~GF1j7NO4py0pQNrAindjSN-9LZhTWJckyJ9imT1go5lX0gSoAoddGZC2tTOv340zKKbhGlSA2Chs~5SrNpNqOzI0rE41oljVGSDWs68BrsKjOsD5SlQ-w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"CHLSOC_The_Chilean_Soil_Organic_Carbon_database_a_multi_institutional_collaborative_effort","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":105051150,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051150/thumbnails/1.jpg","file_name":"essd-2019-161.pdf","download_url":"https://www.academia.edu/attachments/105051150/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CHLSOC_The_Chilean_Soil_Organic_Carbon_d.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051150/essd-2019-161-libre.pdf?1692192669=\u0026response-content-disposition=attachment%3B+filename%3DCHLSOC_The_Chilean_Soil_Organic_Carbon_d.pdf\u0026Expires=1732745195\u0026Signature=F5MLLGzZ9HNeMRwwN3ttKxJV18B4tQ4GcHw85vdzxPeapGq7lvOiObyd6bBIzp5Y2I-O7M9ZQVNCMuBvfNcmFqI~GvYYLM3Yq5G~cuGpwzzWuvQ1kISIzj5CNDKmqgikS2LzCSOWY~uVnO7Eg36bjQ0iIVE--86DjYwwAMtEVu1azM8uY3iaaZdJiQ-4gK6u6pQrSdOdS4Arh4lKUwYhYWwXoscvxqib~GF1j7NO4py0pQNrAindjSN-9LZhTWJckyJ9imT1go5lX0gSoAoddGZC2tTOv340zKKbhGlSA2Chs~5SrNpNqOzI0rE41oljVGSDWs68BrsKjOsD5SlQ-w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":194454,"name":"Soil Carbon","url":"https://www.academia.edu/Documents/in/Soil_Carbon"},{"id":1119056,"name":"Database","url":"https://www.academia.edu/Documents/in/Database"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="105651216"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/105651216/Operationalizing_the_IUCN_Red_List_of_Ecosystems_in_public_policy"><img alt="Research paper thumbnail of Operationalizing the IUCN Red List of Ecosystems in public policy" class="work-thumbnail" src="https://attachments.academia-assets.com/105051156/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/105651216/Operationalizing_the_IUCN_Red_List_of_Ecosystems_in_public_policy">Operationalizing the IUCN Red List of Ecosystems in public policy</a></div><div class="wp-workCard_item"><span>Conservation Letters</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ec03d58272509fac60b98fc4ef6c2025" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105051156,"asset_id":105651216,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105051156/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="105651216"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="105651216"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 105651216; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=105651216]").text(description); $(".js-view-count[data-work-id=105651216]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 105651216; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='105651216']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 105651216, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ec03d58272509fac60b98fc4ef6c2025" } } $('.js-work-strip[data-work-id=105651216]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":105651216,"title":"Operationalizing the IUCN Red List of Ecosystems in public policy","translated_title":"","metadata":{"publisher":"Wiley","grobid_abstract":"Threats to ecosystems are closely linked to human development, whereas lack, insufficiency, and inefficiency of public policies are important drivers of environmental decline. Previous studies have discussed the contribution of IUCN's Red List of Ecosystems (RLE) in conservation issues; however, its applications in different policy fields and instruments for achieving biodiversity conservation have not been explored in detail. Here, we introduce a framework to operationalize the RLE in public policy, facilitating work of governments, practitioners, and decision makers. Our analysis identified 20 policy instruments that could reduce risks to ecosystems highlighted by different Red List criteria. We discuss how RLE could inform the policy process by analyzing different instruments that could be designed, implemented, and modified to achieve risk reduction. We also present practical examples from around the world showing how ecosystem conservation could be improved by operationalizing the RLE in policy instruments. The RLE criteria can inform the policy process by helping to shape objectives and identifying policy instruments that directly address the causes and severity of risks illuminated in Red List assessments. We conclude that RLE could be expanded into a broader holistic spectrum of policy instruments, which could be a key to achieving the ecosystem conservation. K E Y W O R D S assessment criteria, conservation planning, ecosystem conservation, land use planning, policy instruments, prioritization, threatened ecosystems This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Conservation Letters","grobid_abstract_attachment_id":105051156},"translated_abstract":null,"internal_url":"https://www.academia.edu/105651216/Operationalizing_the_IUCN_Red_List_of_Ecosystems_in_public_policy","translated_internal_url":"","created_at":"2023-08-16T06:08:59.693-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105051156,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051156/thumbnails/1.jpg","file_name":"conl.pdf","download_url":"https://www.academia.edu/attachments/105051156/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Operationalizing_the_IUCN_Red_List_of_Ec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051156/conl-libre.pdf?1692192666=\u0026response-content-disposition=attachment%3B+filename%3DOperationalizing_the_IUCN_Red_List_of_Ec.pdf\u0026Expires=1732745195\u0026Signature=gXzS8R4WHH2xOhfd4yMwbVGjSV2WgTNSCjArRW2tzHaG7JD71kRbPth1PQQO1p-O5nxEhUhAWXg3CM~Az3~N31NexdR55N4UOVQVwbe2K7lJ1grUzHbXhuc5kw-X095c~lsZOkqZ9XWOyw6ZzHr~9mVL8TXxTmuDeDBolxjssFaZ7wue4Nkf8Fic3W6qRgMYxblgkaIsEBcTn7aERECPmIJMh-wTb-TFsHP9YNfPoFLq6SAK3jKJ7e9BJX4uXbaqWG5KPi8k5yh6iQCSnWx7uOirIeKbOGSpalkCpFJLwOCMsA8rY5ErVcDWbu4yvsKLPn2Pc6ct7IKlx1iNV7306Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Operationalizing_the_IUCN_Red_List_of_Ecosystems_in_public_policy","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":105051156,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051156/thumbnails/1.jpg","file_name":"conl.pdf","download_url":"https://www.academia.edu/attachments/105051156/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Operationalizing_the_IUCN_Red_List_of_Ec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051156/conl-libre.pdf?1692192666=\u0026response-content-disposition=attachment%3B+filename%3DOperationalizing_the_IUCN_Red_List_of_Ec.pdf\u0026Expires=1732745195\u0026Signature=gXzS8R4WHH2xOhfd4yMwbVGjSV2WgTNSCjArRW2tzHaG7JD71kRbPth1PQQO1p-O5nxEhUhAWXg3CM~Az3~N31NexdR55N4UOVQVwbe2K7lJ1grUzHbXhuc5kw-X095c~lsZOkqZ9XWOyw6ZzHr~9mVL8TXxTmuDeDBolxjssFaZ7wue4Nkf8Fic3W6qRgMYxblgkaIsEBcTn7aERECPmIJMh-wTb-TFsHP9YNfPoFLq6SAK3jKJ7e9BJX4uXbaqWG5KPi8k5yh6iQCSnWx7uOirIeKbOGSpalkCpFJLwOCMsA8rY5ErVcDWbu4yvsKLPn2Pc6ct7IKlx1iNV7306Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":156614,"name":"Conservation letters","url":"https://www.academia.edu/Documents/in/Conservation_letters"},{"id":200081,"name":"IUCN Red List","url":"https://www.academia.edu/Documents/in/IUCN_Red_List"},{"id":360088,"name":"Operationalization","url":"https://www.academia.edu/Documents/in/Operationalization"}],"urls":[{"id":33454458,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/conl.12665"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="3551136" id="papers"><div class="js-work-strip profile--work_container" data-work-id="120277407"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/120277407/Fire_forest_and_city_water_supplies"><img alt="Research paper thumbnail of Fire, forest and city water supplies" class="work-thumbnail" src="https://attachments.academia-assets.com/115481218/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/120277407/Fire_forest_and_city_water_supplies">Fire, forest and city water supplies</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The changing role of fire in forest landscapes shows that strategic forest management is necessar...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The changing role of fire in forest landscapes shows that strategic forest management is necessary to safeguard urban water supplies. Forest landscapes generate 57 percent of runoff worldwide and supply water to more than 4 billion people (Millennium Ecosystem Assessment, 2005). As the world population continues to increase, there is a strong need to understand how forest processes link together in a cascade to provide people with water services like hydropower, aquaculture, drinking water and flood protection (Carvalho-Santos, Honrado and Hein, 2014). 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As the world population continues to increase, there is a strong need to understand how forest processes link together in a cascade to provide people with water services like hydropower, aquaculture, drinking water and flood protection (Carvalho-Santos, Honrado and Hein, 2014). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344570"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344570/CLSoilMaps_A_national_soil_gridded_database_of_physical_and_hydraulic_soil_properties_for_Chile"><img alt="Research paper thumbnail of CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile" class="work-thumbnail" src="https://attachments.academia-assets.com/111779319/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344570/CLSoilMaps_A_national_soil_gridded_database_of_physical_and_hydraulic_soil_properties_for_Chile">CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile</a></div><div class="wp-workCard_item"><span>Scientific Data</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Spatially explicit soil information is crucial for comprehending and managing many of Earth´s pro...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. We introduced a gridded database of soil physical properties and hydraulic parameters at 100 meters spatial resolution. It covers the continental area of Chile and binational basins shared with Argentina for six standardized depths following the specifications of the GlobalSoilMap project. We generated soil maps based on digital soil mapping techniques based on more than 4000 observations, including unpublished data from remote areas. These maps were used as input for the pedotransfer function Rosetta V3 to obtain predictions of soil hydraulic properties, such as field capacity, permanent wilting point, total available water capacity, and other parameters of the water retention curve. The trained models outperformed several other DSM studies applied at the national and regional scale for soil physical properties (nRMSE ran...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a811c1dd06343b8161f13c2f1b10272b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779319,"asset_id":115344570,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779319/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344570"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344570"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344570; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344570]").text(description); $(".js-view-count[data-work-id=115344570]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344570; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344570']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344570, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a811c1dd06343b8161f13c2f1b10272b" } } $('.js-work-strip[data-work-id=115344570]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344570,"title":"CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile","translated_title":"","metadata":{"abstract":"Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. 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The trained models outperformed several other DSM studies applied at the national and regional scale for soil physical properties (nRMSE ran...","publisher":"Springer Science and Business Media LLC","publication_name":"Scientific Data"},"translated_abstract":"Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. We introduced a gridded database of soil physical properties and hydraulic parameters at 100 meters spatial resolution. It covers the continental area of Chile and binational basins shared with Argentina for six standardized depths following the specifications of the GlobalSoilMap project. We generated soil maps based on digital soil mapping techniques based on more than 4000 observations, including unpublished data from remote areas. These maps were used as input for the pedotransfer function Rosetta V3 to obtain predictions of soil hydraulic properties, such as field capacity, permanent wilting point, total available water capacity, and other parameters of the water retention curve. The trained models outperformed several other DSM studies applied at the national and regional scale for soil physical properties (nRMSE ran...","internal_url":"https://www.academia.edu/115344570/CLSoilMaps_A_national_soil_gridded_database_of_physical_and_hydraulic_soil_properties_for_Chile","translated_internal_url":"","created_at":"2024-02-24T03:34:58.750-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111779319,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779319/thumbnails/1.jpg","file_name":"s41597-023-02536-x.pdf","download_url":"https://www.academia.edu/attachments/111779319/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CLSoilMaps_A_national_soil_gridded_datab.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779319/s41597-023-02536-x-libre.pdf?1708776688=\u0026response-content-disposition=attachment%3B+filename%3DCLSoilMaps_A_national_soil_gridded_datab.pdf\u0026Expires=1732745195\u0026Signature=WUJegyMSYRtTHOHmZLdlDWA2Am2ng4zj6O8wSBvTOYqVDukbv18f2JoIMzz9T7qs-c5VYbbnSBiWIKv3Z55t-1LOfQCIxrWpstO6hIP5wGR~0edfqMX6NtAZYu66K42fv2loZgNyA6ulokQG~YzhWXE9IMMGrmEXHQHAyMdayHSqJ~MMzwI4blBMuAWZk~DulbJX3NkGQbzqBEy8uaqZXqhUNMQzQnNwKJ2Qqm-6EFImSR-mvAar5eOzgkNG1ogMtZ4IEetAKXYlDD5TwCFgiLCniegQKzn05UQRKSKPegiDlWC-fCgGPSln~SNE18Y1EYetQlOmYabFi2Wn6-bwBw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"CLSoilMaps_A_national_soil_gridded_database_of_physical_and_hydraulic_soil_properties_for_Chile","translated_slug":"","page_count":19,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":111779319,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779319/thumbnails/1.jpg","file_name":"s41597-023-02536-x.pdf","download_url":"https://www.academia.edu/attachments/111779319/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CLSoilMaps_A_national_soil_gridded_datab.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779319/s41597-023-02536-x-libre.pdf?1708776688=\u0026response-content-disposition=attachment%3B+filename%3DCLSoilMaps_A_national_soil_gridded_datab.pdf\u0026Expires=1732745195\u0026Signature=WUJegyMSYRtTHOHmZLdlDWA2Am2ng4zj6O8wSBvTOYqVDukbv18f2JoIMzz9T7qs-c5VYbbnSBiWIKv3Z55t-1LOfQCIxrWpstO6hIP5wGR~0edfqMX6NtAZYu66K42fv2loZgNyA6ulokQG~YzhWXE9IMMGrmEXHQHAyMdayHSqJ~MMzwI4blBMuAWZk~DulbJX3NkGQbzqBEy8uaqZXqhUNMQzQnNwKJ2Qqm-6EFImSR-mvAar5eOzgkNG1ogMtZ4IEetAKXYlDD5TwCFgiLCniegQKzn05UQRKSKPegiDlWC-fCgGPSln~SNE18Y1EYetQlOmYabFi2Wn6-bwBw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":111779318,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779318/thumbnails/1.jpg","file_name":"s41597-023-02536-x.pdf","download_url":"https://www.academia.edu/attachments/111779318/download_file","bulk_download_file_name":"CLSoilMaps_A_national_soil_gridded_datab.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779318/s41597-023-02536-x-libre.pdf?1708776680=\u0026response-content-disposition=attachment%3B+filename%3DCLSoilMaps_A_national_soil_gridded_datab.pdf\u0026Expires=1732745195\u0026Signature=dzmbvG2pdagONxjCB2RCLRsF7tjBbUIcYiZc70IxamX49yaWFLXFtvbzDtr8QNQS0IzIOj5KmQzA0BdLlIwTmFsz-pzMBvEvx-kw915tu3CDmiQWdyTQH1L3YAkGtCdTon5lHTIQHlskkvyuerW9VkSenoYJCSrYg8-d0eZFIZ19gs0v9AufssIgRzRrXZ1QWwBodXE6TH-La9Tm~p8IOYu~kmziY3aJVcaxLZifaFITmhj2hVM6-yC0LVvuIt-YgGMMOR98Y6pT0L~mZpdNt8CLVvmH4MNr-Jo7oHp6-sUeCKsLU6kljjXaKzyajE-1DBUEyf1RIuMs3LbHRzQXmQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":615540,"name":"Scientific Data","url":"https://www.academia.edu/Documents/in/Scientific_Data"}],"urls":[{"id":39752229,"url":"https://www.nature.com/articles/s41597-023-02536-x.pdf"}]}, dispatcherData: dispatcherData }); 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This geographic region includes a diverse range of natural and planted forests and a broad sweep of vegetation, edaphic, topographic, geologic, and climatic settings which create a unique natural laboratory. Many local communities, endangered freshwater ecosystems, and downstream economic activities in Chile rely on water flows from forested catchments. This review aims to (i) provide a comprehensive overview of Chilean forest hydrology, to (ii) review prior research in forest hydrology in Chile, and to (iii) identify knowledge gaps and provide a vision for future research on forest hydrology in Chile. We reviewed the relation between native forests, commercial plantations, and other land uses on water yield and water quality from the plot to the catchment scale. Much of the global understanding of forests and their relationship with the water cycle is in line with the findings of the studies reviewed here. Streamflow from","publication_name":"Journal of Hydrology","grobid_abstract_attachment_id":111779350},"translated_abstract":null,"internal_url":"https://www.academia.edu/115344569/Forest_hydrology_in_Chile_Past_present_and_future","translated_internal_url":"","created_at":"2024-02-24T03:34:58.554-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111779350,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779350/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/111779350/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Forest_hydrology_in_Chile_Past_present_a.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779350/viewcontent-libre.pdf?1708776725=\u0026response-content-disposition=attachment%3B+filename%3DForest_hydrology_in_Chile_Past_present_a.pdf\u0026Expires=1732745195\u0026Signature=HqQal9w3MC93kirDGV0dGlnn8-ArUTZOp5yIY8KE5zZj-zwG1f4RD5P4~blgXO1mVhHAQ4ztUPCWDRVEaQkoJxsD9W5Gnmxe3f9C6-t-g1pvoRpkUi1Qr0Z-rYCt1B0KCye3E1sKLpWVQ1JLklfsrU71t5wPbyiWXrwt4AmmJe54aiE7rggIUVM~Hps3DWXwElCfVPWzypZ-tR2AOlPsnlHEXkHHXT914QJs1UMLGhQsDVRxFxmfQT0rrzIW1yPWwKUnm5d8i6CKYa70NZThHd6yN-tmLPM0VDA3WbOdYEpAhGNL7udJqr~4ggZs81cQPoxm1meovLWzR8TqN2fE1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Forest_hydrology_in_Chile_Past_present_and_future","translated_slug":"","page_count":27,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":111779350,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779350/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/111779350/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Forest_hydrology_in_Chile_Past_present_a.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779350/viewcontent-libre.pdf?1708776725=\u0026response-content-disposition=attachment%3B+filename%3DForest_hydrology_in_Chile_Past_present_a.pdf\u0026Expires=1732745195\u0026Signature=HqQal9w3MC93kirDGV0dGlnn8-ArUTZOp5yIY8KE5zZj-zwG1f4RD5P4~blgXO1mVhHAQ4ztUPCWDRVEaQkoJxsD9W5Gnmxe3f9C6-t-g1pvoRpkUi1Qr0Z-rYCt1B0KCye3E1sKLpWVQ1JLklfsrU71t5wPbyiWXrwt4AmmJe54aiE7rggIUVM~Hps3DWXwElCfVPWzypZ-tR2AOlPsnlHEXkHHXT914QJs1UMLGhQsDVRxFxmfQT0rrzIW1yPWwKUnm5d8i6CKYa70NZThHd6yN-tmLPM0VDA3WbOdYEpAhGNL7udJqr~4ggZs81cQPoxm1meovLWzR8TqN2fE1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":2549,"name":"Hydrology","url":"https://www.academia.edu/Documents/in/Hydrology"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":142811,"name":"Streamflow","url":"https://www.academia.edu/Documents/in/Streamflow"}],"urls":[{"id":39752228,"url":"https://api.elsevier.com/content/article/PII:S0022169422012513?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344568"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344568/Exotic_tree_plantations_in_the_Chilean_Coastal_Range_Balancing_effects_of_discrete_disturbances_connectivity_and_a_persistent_drought_on_catchment_erosion"><img alt="Research paper thumbnail of Exotic tree plantations in the Chilean Coastal Range: Balancing effects of discrete disturbances, connectivity and a persistent drought on catchment erosion" class="work-thumbnail" src="https://attachments.academia-assets.com/111779351/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344568/Exotic_tree_plantations_in_the_Chilean_Coastal_Range_Balancing_effects_of_discrete_disturbances_connectivity_and_a_persistent_drought_on_catchment_erosion">Exotic tree plantations in the Chilean Coastal Range: Balancing effects of discrete disturbances, connectivity and a persistent drought on catchment erosion</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b9d545b5ae149148cdfaf37388885e7e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779351,"asset_id":115344568,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779351/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344568"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344568"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344568; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b9d545b5ae149148cdfaf37388885e7e" } } $('.js-work-strip[data-work-id=115344568]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344568,"title":"Exotic tree plantations in the Chilean Coastal Range: Balancing effects of discrete disturbances, connectivity and a persistent drought on catchment erosion","translated_title":"","metadata":{"publisher":"Wiley","grobid_abstract":"The Coastal Range in the Mediterranean segment of the Chilean active margin is a soil mantled landscape able to store fresh water and potentially support a biodiverse native forest. In this landscape, human intervention has been increasing soil erosion for 200 yr, with the last 45 yr experiencing intensive management of exotic tree plantations. Such intense forest management practices come along with rotational cycles as short as 9-25 yrs, the construction of dense forest road networks, and the fostering of wildfire susceptibility due to the high amounts of fuel provided by dense plantation stands. Here we first compare decadalscale catchment erosion rates from suspended sediment loads with a 10ˆ4-years-scale catchment erosion rate estimated from detrital 10 Be. We then explore these erosion rates against the effects of discrete disturbances and hydroclimatic trends. Erosion rates are similar on both time scales, i.e. 0.018 ±0.005 mm/yr and 0.024 ±0.004 mm/yr, respectively. Recent human-made disturbances include logging operations during each season and a dense network of forestry roads, which increase structural sediment connectivity. Other disturbances include the 2010 M w 8.8 Maule earthquake, and two widespread wildfires in 2015 and 2017. A decrease in suspended sediment load is observed during the wet seasons for the period 1986-2018 coinciding with a decline in several hydroclimatic parameters. The low 10ˆ4-years erosion rate agrees with a landscape dominated by slow soil creep. The low 10-years-scale erosion rate and the decrease in suspended sediments, however, conflicts with both the observed disturbances and increased structural (sediment) connectivity. These observations suggest that, either suspended sediment loads and, thus, catchment erosion, are underestimated, and/or that decennial sediment detachment and transport were smeared by decreasing rainfall and streamflow. Our findings indicate that human-made disturbances and hydrometeorologic trends may result in opposite, partially offsetting effects on recent sediment transport.","grobid_abstract_attachment_id":111779351},"translated_abstract":null,"internal_url":"https://www.academia.edu/115344568/Exotic_tree_plantations_in_the_Chilean_Coastal_Range_Balancing_effects_of_discrete_disturbances_connectivity_and_a_persistent_drought_on_catchment_erosion","translated_internal_url":"","created_at":"2024-02-24T03:34:58.414-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111779351,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779351/thumbnails/1.jpg","file_name":"essoar.10512068.pdf","download_url":"https://www.academia.edu/attachments/111779351/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Exotic_tree_plantations_in_the_Chilean_C.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779351/essoar.10512068-libre.pdf?1708776693=\u0026response-content-disposition=attachment%3B+filename%3DExotic_tree_plantations_in_the_Chilean_C.pdf\u0026Expires=1732745195\u0026Signature=UG5XU3Z3mJ7cB9hn3Sr4nJ4dt65ymcThHB60HR1ts44~md5fclGSB6Gdp6GasMxdA8Ihq1am~xyzkiY4IKd-W4E5-ICxhy6NPGSfJ-nceZby1b-AD7M7Ch~J7IezDx59KO47IJXr8~N9DRCKYQPghCMjhxqDDAOH98wCnwDMpiybfYVqIZ4DBcrY9pue7r~4VTCU2ugKTAfxd6q6ThegjABAzjT7E5LDnaHt7pvWHETHOgesFgQ862JabpB6BcCnPIHtOXbh0jvxn9NjTgPzxcvmfz0zPDFhx54Bh1yQmk1r950b25SZfYlY0PH-MDK5YfbktVirPL9YcZX9ZJqv2A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Exotic_tree_plantations_in_the_Chilean_Coastal_Range_Balancing_effects_of_discrete_disturbances_connectivity_and_a_persistent_drought_on_catchment_erosion","translated_slug":"","page_count":28,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":111779351,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779351/thumbnails/1.jpg","file_name":"essoar.10512068.pdf","download_url":"https://www.academia.edu/attachments/111779351/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Exotic_tree_plantations_in_the_Chilean_C.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779351/essoar.10512068-libre.pdf?1708776693=\u0026response-content-disposition=attachment%3B+filename%3DExotic_tree_plantations_in_the_Chilean_C.pdf\u0026Expires=1732745195\u0026Signature=UG5XU3Z3mJ7cB9hn3Sr4nJ4dt65ymcThHB60HR1ts44~md5fclGSB6Gdp6GasMxdA8Ihq1am~xyzkiY4IKd-W4E5-ICxhy6NPGSfJ-nceZby1b-AD7M7Ch~J7IezDx59KO47IJXr8~N9DRCKYQPghCMjhxqDDAOH98wCnwDMpiybfYVqIZ4DBcrY9pue7r~4VTCU2ugKTAfxd6q6ThegjABAzjT7E5LDnaHt7pvWHETHOgesFgQ862JabpB6BcCnPIHtOXbh0jvxn9NjTgPzxcvmfz0zPDFhx54Bh1yQmk1r950b25SZfYlY0PH-MDK5YfbktVirPL9YcZX9ZJqv2A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":84446,"name":"Erosion","url":"https://www.academia.edu/Documents/in/Erosion"},{"id":113501,"name":"Sediment transport","url":"https://www.academia.edu/Documents/in/Sediment_transport"},{"id":142811,"name":"Streamflow","url":"https://www.academia.edu/Documents/in/Streamflow"},{"id":192294,"name":"Sediment","url":"https://www.academia.edu/Documents/in/Sediment"},{"id":360593,"name":"Logging","url":"https://www.academia.edu/Documents/in/Logging"},{"id":531003,"name":"Denudation","url":"https://www.academia.edu/Documents/in/Denudation"},{"id":620328,"name":"Sediment Transport","url":"https://www.academia.edu/Documents/in/Sediment_Transport-5"},{"id":4134089,"name":"Drainage basin","url":"https://www.academia.edu/Documents/in/Drainage_basin"}],"urls":[]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344566"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344566/Disturbance_alters_relationships_between_soil_carbon_pools_and_aboveground_vegetation_attributes_in_an_anthropogenic_peatland_in_Patagonia"><img alt="Research paper thumbnail of Disturbance alters relationships between soil carbon pools and aboveground vegetation attributes in an anthropogenic peatland in Patagonia" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344566/Disturbance_alters_relationships_between_soil_carbon_pools_and_aboveground_vegetation_attributes_in_an_anthropogenic_peatland_in_Patagonia">Disturbance alters relationships between soil carbon pools and aboveground vegetation attributes in an anthropogenic peatland in Patagonia</a></div><div class="wp-workCard_item"><span>Ecology and Evolution</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Anthropogenic‐based disturbances may alter peatland soil–plant causal associations and their abil...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Anthropogenic‐based disturbances may alter peatland soil–plant causal associations and their ability to sequester carbon. Likewise, it is unclear how the vegetation attributes are linked with different soil C decomposition‐based pools (i.e., live moss, debris, and poorly‐ to highly‐decomposed peat) under grassing and harvesting conditions. Therefore, we aimed to assess the relationships between aboveground vegetation attributes and belowground C pools in a Northern Patagonian peatland of Sphagnum magellanicum with disturbed and undisturbed areas. We used ordination to depict the main C pool and floristic gradients and structural equation modeling (SEM) to explore the direct and indirect relationships among these variables. In addition, we evaluated whether attributes derived from plant functional types (PFTs) are better suited to predict soil C pools than attributes derived from species gradients. We found that the floristic composition of the peatland can be classified into three c...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344566"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344566"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344566; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344566]").text(description); $(".js-view-count[data-work-id=115344566]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344566; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344566']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344566, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344566]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344566,"title":"Disturbance alters relationships between soil carbon pools and aboveground vegetation attributes in an anthropogenic peatland in Patagonia","translated_title":"","metadata":{"abstract":"Anthropogenic‐based disturbances may alter peatland soil–plant causal associations and their ability to sequester carbon. Likewise, it is unclear how the vegetation attributes are linked with different soil C decomposition‐based pools (i.e., live moss, debris, and poorly‐ to highly‐decomposed peat) under grassing and harvesting conditions. Therefore, we aimed to assess the relationships between aboveground vegetation attributes and belowground C pools in a Northern Patagonian peatland of Sphagnum magellanicum with disturbed and undisturbed areas. We used ordination to depict the main C pool and floristic gradients and structural equation modeling (SEM) to explore the direct and indirect relationships among these variables. In addition, we evaluated whether attributes derived from plant functional types (PFTs) are better suited to predict soil C pools than attributes derived from species gradients. We found that the floristic composition of the peatland can be classified into three c...","publisher":"Wiley","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Ecology and Evolution"},"translated_abstract":"Anthropogenic‐based disturbances may alter peatland soil–plant causal associations and their ability to sequester carbon. Likewise, it is unclear how the vegetation attributes are linked with different soil C decomposition‐based pools (i.e., live moss, debris, and poorly‐ to highly‐decomposed peat) under grassing and harvesting conditions. Therefore, we aimed to assess the relationships between aboveground vegetation attributes and belowground C pools in a Northern Patagonian peatland of Sphagnum magellanicum with disturbed and undisturbed areas. We used ordination to depict the main C pool and floristic gradients and structural equation modeling (SEM) to explore the direct and indirect relationships among these variables. In addition, we evaluated whether attributes derived from plant functional types (PFTs) are better suited to predict soil C pools than attributes derived from species gradients. We found that the floristic composition of the peatland can be classified into three c...","internal_url":"https://www.academia.edu/115344566/Disturbance_alters_relationships_between_soil_carbon_pools_and_aboveground_vegetation_attributes_in_an_anthropogenic_peatland_in_Patagonia","translated_internal_url":"","created_at":"2024-02-24T03:34:58.133-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Disturbance_alters_relationships_between_soil_carbon_pools_and_aboveground_vegetation_attributes_in_an_anthropogenic_peatland_in_Patagonia","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":76581,"name":"Peat","url":"https://www.academia.edu/Documents/in/Peat"},{"id":156040,"name":"Ecology and Evolution","url":"https://www.academia.edu/Documents/in/Ecology_and_Evolution"},{"id":194454,"name":"Soil Carbon","url":"https://www.academia.edu/Documents/in/Soil_Carbon"},{"id":199669,"name":"Ecological Succession","url":"https://www.academia.edu/Documents/in/Ecological_Succession"},{"id":216215,"name":"Moss","url":"https://www.academia.edu/Documents/in/Moss"},{"id":522060,"name":"Ordination","url":"https://www.academia.edu/Documents/in/Ordination"},{"id":653596,"name":"Plant Community","url":"https://www.academia.edu/Documents/in/Plant_Community"}],"urls":[{"id":39752227,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.8694"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344565"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344565/An_operational_method_for_mapping_the_composition_of_post_fire_litter"><img alt="Research paper thumbnail of An operational method for mapping the composition of post-fire litter" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344565/An_operational_method_for_mapping_the_composition_of_post_fire_litter">An operational method for mapping the composition of post-fire litter</a></div><div class="wp-workCard_item"><span>Remote Sensing Letters</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Recent increase in the frequency and spatial extent of wildfires motivates the quick rec...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Recent increase in the frequency and spatial extent of wildfires motivates the quick recognition of the affected soil properties over large areas. Digital Soil Mapping is a valuable approach to map soil attributes based on remote sensing and field observations. We predicted the spatial distribution of post-fire litter composition in a 40,600 ha basin burned on the 2017 wildfire of Chile. Remotely sensed data of topography, vegetation structure and spectral indices (SI) were used as predictors of random forest (RF) models. Litter sampled in 60 hillslopes after the fire provided training and validation data. Predictors selected by the Variable Selection Using Random Forests (VSURF) algorithm resulted in models for litter composition with acceptable accuracy (coefficient of determination, R 2 = 0.51–0.64, Normalized Root Mean Square Error, NRMSE = 16.9–22.1, percentage bias, pbias = −0.35%-0.5%). Modelled litter parameters decrease in concentration respect to the degree of burn severity, and the pre-fire biomass. Because pre-fire vegetation was conditioned by land cover and by a previous (2 years old) wildfire event, our results highlight the cumulative effect of severe wildfires in the depletion of litter composition.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344565"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344565"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344565; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344565]").text(description); $(".js-view-count[data-work-id=115344565]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344565; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344565']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344565, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344565]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344565,"title":"An operational method for mapping the composition of post-fire litter","translated_title":"","metadata":{"abstract":"ABSTRACT Recent increase in the frequency and spatial extent of wildfires motivates the quick recognition of the affected soil properties over large areas. 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Because pre-fire vegetation was conditioned by land cover and by a previous (2 years old) wildfire event, our results highlight the cumulative effect of severe wildfires in the depletion of litter composition.","publisher":"Informa UK Limited","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Remote Sensing Letters"},"translated_abstract":"ABSTRACT Recent increase in the frequency and spatial extent of wildfires motivates the quick recognition of the affected soil properties over large areas. Digital Soil Mapping is a valuable approach to map soil attributes based on remote sensing and field observations. We predicted the spatial distribution of post-fire litter composition in a 40,600 ha basin burned on the 2017 wildfire of Chile. Remotely sensed data of topography, vegetation structure and spectral indices (SI) were used as predictors of random forest (RF) models. Litter sampled in 60 hillslopes after the fire provided training and validation data. Predictors selected by the Variable Selection Using Random Forests (VSURF) algorithm resulted in models for litter composition with acceptable accuracy (coefficient of determination, R 2 = 0.51–0.64, Normalized Root Mean Square Error, NRMSE = 16.9–22.1, percentage bias, pbias = −0.35%-0.5%). Modelled litter parameters decrease in concentration respect to the degree of burn severity, and the pre-fire biomass. Because pre-fire vegetation was conditioned by land cover and by a previous (2 years old) wildfire event, our results highlight the cumulative effect of severe wildfires in the depletion of litter composition.","internal_url":"https://www.academia.edu/115344565/An_operational_method_for_mapping_the_composition_of_post_fire_litter","translated_internal_url":"","created_at":"2024-02-24T03:34:57.896-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"An_operational_method_for_mapping_the_composition_of_post_fire_litter","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":188993,"name":"Litter","url":"https://www.academia.edu/Documents/in/Litter"},{"id":993832,"name":"Second Language Composition","url":"https://www.academia.edu/Documents/in/Second_Language_Composition"}],"urls":[{"id":39752226,"url":"https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2022.2040752"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344563"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344563/The_CAMELS_CL_dataset_links_to_files"><img alt="Research paper thumbnail of The CAMELS-CL dataset - links to files" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344563/The_CAMELS_CL_dataset_links_to_files">The CAMELS-CL dataset - links to files</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">CAMELS-CL relies on multiple data sources (including ground data, remote-sensed products and rean...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">CAMELS-CL relies on multiple data sources (including ground data, remote-sensed products and reanalyses) to characterise the hydroclimatic conditions and landscape of a region where in situ measurements are scarce. The dataset includes 516 catchments and provides boundaries, daily streamflow records and basin-averaged daily time series of precipitation (from one national and three global datasets), maximum, minimum and mean temperatures, potential evapotranspiration (PET; from two datasets), and snow water equivalent. We calculated hydro-climatological indices using these time series, and leveraged diverse data sources to extract topographic, geological and land cover features. Relying on publicly available reservoirs and water rights data for the country, we estimated the degree of anthropic intervention within the catchments. To facilitate the use of this dataset and promote common standards in large-sample studies, we computed most catchment attributes introduced by Addor et al. (2017) in their Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) dataset (doi:10.5065/D6G73C3Q), and added several others.---CAMELS-CL can be visualised from <a href="http://camels.cr2.cl---This" rel="nofollow">http://camels.cr2.cl---This</a> research emerged from the collaboration with many colleagues at the Center for Climate and Resilience Research (CR2, CONICYT/FONDAP/15110009). Camila Alvarez-Garreton was funded by FONDECYT postdoctoral grant no. 3170428. Pablo Mendoza received additional support from FONDECYT postdoctoral grant no. 3170079. Mauricio Zambrano-Bigiarini thanks FONDECYT 11150861 for financial support. The development of CR2MET was supported by the Chilean Water Directorate (DGA), through National Water Balance Updating Project DGA-2319, and by FONDECYT grant no. 3150492. This study is a contribution to the Large-sample Hydrology working group of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344563"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344563"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344563; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344563]").text(description); $(".js-view-count[data-work-id=115344563]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344563; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344563']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344563, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344563]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344563,"title":"The CAMELS-CL dataset - links to files","translated_title":"","metadata":{"abstract":"CAMELS-CL relies on multiple data sources (including ground data, remote-sensed products and reanalyses) to characterise the hydroclimatic conditions and landscape of a region where in situ measurements are scarce. The dataset includes 516 catchments and provides boundaries, daily streamflow records and basin-averaged daily time series of precipitation (from one national and three global datasets), maximum, minimum and mean temperatures, potential evapotranspiration (PET; from two datasets), and snow water equivalent. We calculated hydro-climatological indices using these time series, and leveraged diverse data sources to extract topographic, geological and land cover features. Relying on publicly available reservoirs and water rights data for the country, we estimated the degree of anthropic intervention within the catchments. To facilitate the use of this dataset and promote common standards in large-sample studies, we computed most catchment attributes introduced by Addor et al. (2017) in their Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) dataset (doi:10.5065/D6G73C3Q), and added several others.---CAMELS-CL can be visualised from http://camels.cr2.cl---This research emerged from the collaboration with many colleagues at the Center for Climate and Resilience Research (CR2, CONICYT/FONDAP/15110009). Camila Alvarez-Garreton was funded by FONDECYT postdoctoral grant no. 3170428. Pablo Mendoza received additional support from FONDECYT postdoctoral grant no. 3170079. Mauricio Zambrano-Bigiarini thanks FONDECYT 11150861 for financial support. The development of CR2MET was supported by the Chilean Water Directorate (DGA), through National Water Balance Updating Project DGA-2319, and by FONDECYT grant no. 3150492. This study is a contribution to the Large-sample Hydrology working group of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS).","publication_date":{"day":null,"month":null,"year":2018,"errors":{}}},"translated_abstract":"CAMELS-CL relies on multiple data sources (including ground data, remote-sensed products and reanalyses) to characterise the hydroclimatic conditions and landscape of a region where in situ measurements are scarce. The dataset includes 516 catchments and provides boundaries, daily streamflow records and basin-averaged daily time series of precipitation (from one national and three global datasets), maximum, minimum and mean temperatures, potential evapotranspiration (PET; from two datasets), and snow water equivalent. We calculated hydro-climatological indices using these time series, and leveraged diverse data sources to extract topographic, geological and land cover features. Relying on publicly available reservoirs and water rights data for the country, we estimated the degree of anthropic intervention within the catchments. To facilitate the use of this dataset and promote common standards in large-sample studies, we computed most catchment attributes introduced by Addor et al. (2017) in their Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) dataset (doi:10.5065/D6G73C3Q), and added several others.---CAMELS-CL can be visualised from http://camels.cr2.cl---This research emerged from the collaboration with many colleagues at the Center for Climate and Resilience Research (CR2, CONICYT/FONDAP/15110009). Camila Alvarez-Garreton was funded by FONDECYT postdoctoral grant no. 3170428. Pablo Mendoza received additional support from FONDECYT postdoctoral grant no. 3170079. Mauricio Zambrano-Bigiarini thanks FONDECYT 11150861 for financial support. The development of CR2MET was supported by the Chilean Water Directorate (DGA), through National Water Balance Updating Project DGA-2319, and by FONDECYT grant no. 3150492. This study is a contribution to the Large-sample Hydrology working group of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS).","internal_url":"https://www.academia.edu/115344563/The_CAMELS_CL_dataset_links_to_files","translated_internal_url":"","created_at":"2024-02-24T03:34:57.610-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_CAMELS_CL_dataset_links_to_files","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344561"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344561/Water_management_or_megadrought_what_caused_the_Chilean_Aculeo_Lake_drying"><img alt="Research paper thumbnail of Water management or megadrought: what caused the Chilean Aculeo Lake drying?" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344561/Water_management_or_megadrought_what_caused_the_Chilean_Aculeo_Lake_drying">Water management or megadrought: what caused the Chilean Aculeo Lake drying?</a></div><div class="wp-workCard_item"><span>Regional Environmental Change</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Aculeo Lake is an important natural reservoir of Central Chile, which provides valuable ecosy...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The Aculeo Lake is an important natural reservoir of Central Chile, which provides valuable ecosystem services. This lake has suffered a rapid shrinkage of the water levels from year 2010 to 2018, and since October 2018, it is completely dry. This natural disaster is concurrent with a number of severe and uninterrupted drought years, along with sustained increases in water consumption associated to land use/land cover (LULC) changes. Severe water shortages and socio-environmental impacts were triggered by these changes, emphasizing the need to understand the causes of the lake desiccation to contribute in the design of future adaptation strategies. Thereby, the Water Evaluation and Planning (WEAP) hydrological model was used as a tool to quantify the water balance in the catchment. The model was run under a combination of three land use/land cover and two different climate scenarios that sample the cases with and without megadrought and with or without changes in land use. According to the results, the main triggering factor of the lake shrinkage is the severe megadrought, with annual rainfall deficits of about 38%, which resulted in amplified reductions in river flows (44%) and aquifer recharges (24%). The results indicate that the relative impact of the climate factor is more than 10 times larger than the impact of the observed LULC changes in the lake balance, highlighting the urgent need for adaptation strategies to deal with the projected drier futures.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344561"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344561"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344561; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344561]").text(description); $(".js-view-count[data-work-id=115344561]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344561; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344561']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344561, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344561]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344561,"title":"Water management or megadrought: what caused the Chilean Aculeo Lake drying?","translated_title":"","metadata":{"abstract":"The Aculeo Lake is an important natural reservoir of Central Chile, which provides valuable ecosystem services. This lake has suffered a rapid shrinkage of the water levels from year 2010 to 2018, and since October 2018, it is completely dry. This natural disaster is concurrent with a number of severe and uninterrupted drought years, along with sustained increases in water consumption associated to land use/land cover (LULC) changes. Severe water shortages and socio-environmental impacts were triggered by these changes, emphasizing the need to understand the causes of the lake desiccation to contribute in the design of future adaptation strategies. Thereby, the Water Evaluation and Planning (WEAP) hydrological model was used as a tool to quantify the water balance in the catchment. The model was run under a combination of three land use/land cover and two different climate scenarios that sample the cases with and without megadrought and with or without changes in land use. According to the results, the main triggering factor of the lake shrinkage is the severe megadrought, with annual rainfall deficits of about 38%, which resulted in amplified reductions in river flows (44%) and aquifer recharges (24%). The results indicate that the relative impact of the climate factor is more than 10 times larger than the impact of the observed LULC changes in the lake balance, highlighting the urgent need for adaptation strategies to deal with the projected drier futures.","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Regional Environmental Change"},"translated_abstract":"The Aculeo Lake is an important natural reservoir of Central Chile, which provides valuable ecosystem services. This lake has suffered a rapid shrinkage of the water levels from year 2010 to 2018, and since October 2018, it is completely dry. This natural disaster is concurrent with a number of severe and uninterrupted drought years, along with sustained increases in water consumption associated to land use/land cover (LULC) changes. Severe water shortages and socio-environmental impacts were triggered by these changes, emphasizing the need to understand the causes of the lake desiccation to contribute in the design of future adaptation strategies. Thereby, the Water Evaluation and Planning (WEAP) hydrological model was used as a tool to quantify the water balance in the catchment. The model was run under a combination of three land use/land cover and two different climate scenarios that sample the cases with and without megadrought and with or without changes in land use. According to the results, the main triggering factor of the lake shrinkage is the severe megadrought, with annual rainfall deficits of about 38%, which resulted in amplified reductions in river flows (44%) and aquifer recharges (24%). The results indicate that the relative impact of the climate factor is more than 10 times larger than the impact of the observed LULC changes in the lake balance, highlighting the urgent need for adaptation strategies to deal with the projected drier futures.","internal_url":"https://www.academia.edu/115344561/Water_management_or_megadrought_what_caused_the_Chilean_Aculeo_Lake_drying","translated_internal_url":"","created_at":"2024-02-24T03:34:57.250-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Water_management_or_megadrought_what_caused_the_Chilean_Aculeo_Lake_drying","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":79495,"name":"Land Cover","url":"https://www.academia.edu/Documents/in/Land_Cover"},{"id":123553,"name":"Water balance","url":"https://www.academia.edu/Documents/in/Water_balance"},{"id":156376,"name":"Water resource management","url":"https://www.academia.edu/Documents/in/Water_resource_management"}],"urls":[{"id":39752224,"url":"http://link.springer.com/content/pdf/10.1007/s10113-021-01750-w.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344560"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344560/Are_Remote_Sensing_Evapotranspiration_Models_Reliable_Across_South_American_Ecoregions"><img alt="Research paper thumbnail of Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?" class="work-thumbnail" src="https://attachments.academia-assets.com/111779349/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344560/Are_Remote_Sensing_Evapotranspiration_Models_Reliable_Across_South_American_Ecoregions">Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Many remote sensing‐based evapotranspiration (RSBET) algorithms have been proposed in the past de...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Many remote sensing‐based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT‐JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM‐MOD), and Penman–Monteith Nagler model (PM‐VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT‐JPL, and PM‐MOD and PM‐VI presenting overall better responses in terms of percent bias (%). As for PM‐VI, this outcome is expected, given that the model requires calibration with local data. ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="79054f6fff8820b88dd15ac467995661" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779349,"asset_id":115344560,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779349/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344560"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344560"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344560; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344560]").text(description); $(".js-view-count[data-work-id=115344560]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344560; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344560']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344560, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "79054f6fff8820b88dd15ac467995661" } } $('.js-work-strip[data-work-id=115344560]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344560,"title":"Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?","translated_title":"","metadata":{"abstract":"Many remote sensing‐based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT‐JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM‐MOD), and Penman–Monteith Nagler model (PM‐VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT‐JPL, and PM‐MOD and PM‐VI presenting overall better responses in terms of percent bias (%). As for PM‐VI, this outcome is expected, given that the model requires calibration with local data. ...","publisher":"American Geophysical Union (AGU)","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Water Resources Research"},"translated_abstract":"Many remote sensing‐based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT‐JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM‐MOD), and Penman–Monteith Nagler model (PM‐VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT‐JPL, and PM‐MOD and PM‐VI presenting overall better responses in terms of percent bias (%). As for PM‐VI, this outcome is expected, given that the model requires calibration with local data. ...","internal_url":"https://www.academia.edu/115344560/Are_Remote_Sensing_Evapotranspiration_Models_Reliable_Across_South_American_Ecoregions","translated_internal_url":"","created_at":"2024-02-24T03:34:57.071-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111779349,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779349/thumbnails/1.jpg","file_name":"8735205.pdf","download_url":"https://www.academia.edu/attachments/111779349/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Are_Remote_Sensing_Evapotranspiration_Mo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779349/8735205-libre.pdf?1708776699=\u0026response-content-disposition=attachment%3B+filename%3DAre_Remote_Sensing_Evapotranspiration_Mo.pdf\u0026Expires=1732745195\u0026Signature=CyJ5Mc0S4V6nOnRPtlg4GTyDiiIoprWqjybrUd2y360dqCwzrbYaHqas0s2-8~3D-m7hyT7xkR62Bb6WzJaUqJsfWZZ5OpoU5vBTchf~Na~YWO4z5g3azUYHrReloEoL9prlq-1fJB022-uUANY0c4yFbmk7CNOvZPakylq9nyjg5zCfPN0OdyIVp0Ey4gxV7g05oqnGNXDyHZwTIkqwmvUjcbNp3Jpy6ITqSF5L1yt-2JNHndyfX6JRxtn9WRuuaoz2wegoJQjIdavQg7EwFZDcxCLCmdxN95x3Bky5HOSvi2FJ7aIg80MYcJmPmVGUx~L7DTTZ-~c91HP8a2vhIw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Are_Remote_Sensing_Evapotranspiration_Models_Reliable_Across_South_American_Ecoregions","translated_slug":"","page_count":23,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":111779349,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779349/thumbnails/1.jpg","file_name":"8735205.pdf","download_url":"https://www.academia.edu/attachments/111779349/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Are_Remote_Sensing_Evapotranspiration_Mo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779349/8735205-libre.pdf?1708776699=\u0026response-content-disposition=attachment%3B+filename%3DAre_Remote_Sensing_Evapotranspiration_Mo.pdf\u0026Expires=1732745195\u0026Signature=CyJ5Mc0S4V6nOnRPtlg4GTyDiiIoprWqjybrUd2y360dqCwzrbYaHqas0s2-8~3D-m7hyT7xkR62Bb6WzJaUqJsfWZZ5OpoU5vBTchf~Na~YWO4z5g3azUYHrReloEoL9prlq-1fJB022-uUANY0c4yFbmk7CNOvZPakylq9nyjg5zCfPN0OdyIVp0Ey4gxV7g05oqnGNXDyHZwTIkqwmvUjcbNp3Jpy6ITqSF5L1yt-2JNHndyfX6JRxtn9WRuuaoz2wegoJQjIdavQg7EwFZDcxCLCmdxN95x3Bky5HOSvi2FJ7aIg80MYcJmPmVGUx~L7DTTZ-~c91HP8a2vhIw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":4526,"name":"Water resources","url":"https://www.academia.edu/Documents/in/Water_resources"},{"id":27659,"name":"Applied Economics","url":"https://www.academia.edu/Documents/in/Applied_Economics"},{"id":99629,"name":"Evapotranspiration","url":"https://www.academia.edu/Documents/in/Evapotranspiration"},{"id":789599,"name":"Biome","url":"https://www.academia.edu/Documents/in/Biome"}],"urls":[{"id":39752223,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR028752"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344559"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344559/Disentangling_the_effect_of_future_land_use_strategies_and_climate_change_on_streamflow_in_a_Mediterranean_catchment_dominated_by_tree_plantations"><img alt="Research paper thumbnail of Disentangling the effect of future land use strategies and climate change on streamflow in a Mediterranean catchment dominated by tree plantations" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344559/Disentangling_the_effect_of_future_land_use_strategies_and_climate_change_on_streamflow_in_a_Mediterranean_catchment_dominated_by_tree_plantations">Disentangling the effect of future land use strategies and climate change on streamflow in a Mediterranean catchment dominated by tree plantations</a></div><div class="wp-workCard_item"><span>Journal of Hydrology</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Climate change (CC) along with Land Use and Land Cover Change (LULCC) have a strong infl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Climate change (CC) along with Land Use and Land Cover Change (LULCC) have a strong influence in water availability in already fragile Mediterranean ecosystems. In this work the Soil and Water Assessment Tool (SWAT) was implemented for the 2006–2018 period in a rainfed catchment of central Chile (36°) to test the hypothesis that adaptive plantation strategies could mitigate the impacts of climate change and increase streamflow. We also hypothesize that afforestation with exotic tree plantations will reduce water availability in Mediterranean catchments, acting in synergy with climate change. Five LULCC scenarios are analyzed: i) current long-term national Forest Policy (FP), ii) extreme scenario (EX) with large afforestation surfaces, both including the replacement of native shrublands with Pinus radiata; iii) adaptive plantation management scenario (FM), with lower planting density, iv) forced land displacement scenario (FLD), where plantations at the headwaters are moved to lowland areas and replaced with native shrublands, and v) pristine scenario (PR), with only native vegetation. Each LULCC scenario was run with present climate and with projections of different CMIP5 climate models under the RCP 8.5 scenario for the period 2037–2050, and then compared against simulations based on the present land cover and climate. Simulations with the five LULCC scenarios (FP, EX, FM, FLD and PR) with present climate resulted in variations of −2.5, −17.3, 0, 2.3 and 10.9% on mean annual streamflow (Q), while simulations with the current land cover and CC projections produced a 32.1% decrease in mean annual Q. The joint impact of CC and LULCC leads to changes in mean annual Q ranging from −46.2% (EX) to –23.3% (PR). Afforestation with exotic pines will intensify the reduction in water yield, while conservative scenarios focused on native forests protection and restoration could partially mitigate the effect of CC. We make a strong call to rethink current and future land management strategies to cope with lower water availability in a drier future.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344559"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344559"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344559; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344559]").text(description); $(".js-view-count[data-work-id=115344559]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344559; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344559']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344559, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=115344559]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344559,"title":"Disentangling the effect of future land use strategies and climate change on streamflow in a Mediterranean catchment dominated by tree plantations","translated_title":"","metadata":{"abstract":"Abstract Climate change (CC) along with Land Use and Land Cover Change (LULCC) have a strong influence in water availability in already fragile Mediterranean ecosystems. In this work the Soil and Water Assessment Tool (SWAT) was implemented for the 2006–2018 period in a rainfed catchment of central Chile (36°) to test the hypothesis that adaptive plantation strategies could mitigate the impacts of climate change and increase streamflow. We also hypothesize that afforestation with exotic tree plantations will reduce water availability in Mediterranean catchments, acting in synergy with climate change. Five LULCC scenarios are analyzed: i) current long-term national Forest Policy (FP), ii) extreme scenario (EX) with large afforestation surfaces, both including the replacement of native shrublands with Pinus radiata; iii) adaptive plantation management scenario (FM), with lower planting density, iv) forced land displacement scenario (FLD), where plantations at the headwaters are moved to lowland areas and replaced with native shrublands, and v) pristine scenario (PR), with only native vegetation. Each LULCC scenario was run with present climate and with projections of different CMIP5 climate models under the RCP 8.5 scenario for the period 2037–2050, and then compared against simulations based on the present land cover and climate. Simulations with the five LULCC scenarios (FP, EX, FM, FLD and PR) with present climate resulted in variations of −2.5, −17.3, 0, 2.3 and 10.9% on mean annual streamflow (Q), while simulations with the current land cover and CC projections produced a 32.1% decrease in mean annual Q. The joint impact of CC and LULCC leads to changes in mean annual Q ranging from −46.2% (EX) to –23.3% (PR). Afforestation with exotic pines will intensify the reduction in water yield, while conservative scenarios focused on native forests protection and restoration could partially mitigate the effect of CC. We make a strong call to rethink current and future land management strategies to cope with lower water availability in a drier future.","publisher":"Elsevier BV","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Journal of Hydrology"},"translated_abstract":"Abstract Climate change (CC) along with Land Use and Land Cover Change (LULCC) have a strong influence in water availability in already fragile Mediterranean ecosystems. In this work the Soil and Water Assessment Tool (SWAT) was implemented for the 2006–2018 period in a rainfed catchment of central Chile (36°) to test the hypothesis that adaptive plantation strategies could mitigate the impacts of climate change and increase streamflow. We also hypothesize that afforestation with exotic tree plantations will reduce water availability in Mediterranean catchments, acting in synergy with climate change. Five LULCC scenarios are analyzed: i) current long-term national Forest Policy (FP), ii) extreme scenario (EX) with large afforestation surfaces, both including the replacement of native shrublands with Pinus radiata; iii) adaptive plantation management scenario (FM), with lower planting density, iv) forced land displacement scenario (FLD), where plantations at the headwaters are moved to lowland areas and replaced with native shrublands, and v) pristine scenario (PR), with only native vegetation. Each LULCC scenario was run with present climate and with projections of different CMIP5 climate models under the RCP 8.5 scenario for the period 2037–2050, and then compared against simulations based on the present land cover and climate. Simulations with the five LULCC scenarios (FP, EX, FM, FLD and PR) with present climate resulted in variations of −2.5, −17.3, 0, 2.3 and 10.9% on mean annual streamflow (Q), while simulations with the current land cover and CC projections produced a 32.1% decrease in mean annual Q. The joint impact of CC and LULCC leads to changes in mean annual Q ranging from −46.2% (EX) to –23.3% (PR). Afforestation with exotic pines will intensify the reduction in water yield, while conservative scenarios focused on native forests protection and restoration could partially mitigate the effect of CC. We make a strong call to rethink current and future land management strategies to cope with lower water availability in a drier future.","internal_url":"https://www.academia.edu/115344559/Disentangling_the_effect_of_future_land_use_strategies_and_climate_change_on_streamflow_in_a_Mediterranean_catchment_dominated_by_tree_plantations","translated_internal_url":"","created_at":"2024-02-24T03:34:56.911-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Disentangling_the_effect_of_future_land_use_strategies_and_climate_change_on_streamflow_in_a_Mediterranean_catchment_dominated_by_tree_plantations","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":2549,"name":"Hydrology","url":"https://www.academia.edu/Documents/in/Hydrology"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":79495,"name":"Land Cover","url":"https://www.academia.edu/Documents/in/Land_Cover"},{"id":142811,"name":"Streamflow","url":"https://www.academia.edu/Documents/in/Streamflow"},{"id":238830,"name":"Shrubland","url":"https://www.academia.edu/Documents/in/Shrubland"},{"id":314820,"name":"Afforestation","url":"https://www.academia.edu/Documents/in/Afforestation"},{"id":564368,"name":"Mediterranean Climate","url":"https://www.academia.edu/Documents/in/Mediterranean_Climate"}],"urls":[{"id":39752222,"url":"https://api.elsevier.com/content/article/PII:S0022169421000949?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344558"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344558/Assessment_of_quality_of_input_data_used_to_classify_ecosystems_according_to_the_IUCN_Red_List_methodology_The_case_of_the_central_Chile_hotspot"><img alt="Research paper thumbnail of Assessment of quality of input data used to classify ecosystems according to the IUCN Red List methodology: The case of the central Chile hotspot" class="work-thumbnail" src="https://attachments.academia-assets.com/111779348/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344558/Assessment_of_quality_of_input_data_used_to_classify_ecosystems_according_to_the_IUCN_Red_List_methodology_The_case_of_the_central_Chile_hotspot">Assessment of quality of input data used to classify ecosystems according to the IUCN Red List methodology: The case of the central Chile hotspot</a></div><div class="wp-workCard_item"><span>Biological Conservation</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7858fff3c2c2ee7b983e3448ec3e30a2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779348,"asset_id":115344558,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779348/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344558"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344558"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344558; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344558]").text(description); $(".js-view-count[data-work-id=115344558]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344558; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344558']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344558, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7858fff3c2c2ee7b983e3448ec3e30a2" } } $('.js-work-strip[data-work-id=115344558]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344558,"title":"Assessment of quality of input data used to classify ecosystems according to the IUCN Red List methodology: The case of the central Chile hotspot","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"During the last decade, the IUCN has developed criteria analogous to the Red List of Threatened Species to perform similar risk assessment on ecosystems, creating the Red List of Ecosystems methodology. One of the most significant challenges for the construction of these lists is the gathering and availability of the information needed to apply the criteria. We present a complement to the IUCN's methodology to assess the threat level to ecosystems, estimating the spatial and temporal quality of the information available in scientific publications. We did this by applying the IUCN criteria to determine the threat level to the sclerophyll ecosystems of central Chile. Spatially explicit studies that identify disturbances in the structure of the vegetation were selected, making it possible to quantify effectively the reduction in the ecosystems' distribution. The spatial and temporal quality of the assessment were estimated as the percentage of the potential ecosystem distribution and the time frame recommended by the IUCN (50 years), that the studies represented for each ecosystem. The application of the methodology allowed the assessment of a high percentage of the ecosystems (85%), which were classified based on the studies with ranges of temporal quality from 30 to 100% and spatial quality from 12 to 100%. If only the assessments with more than medium spatio-temporal quality are considered (N50%), eight of the 17 evaluated ecosystems are classified in threat categories, which represents 22.9% of the study area.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Biological Conservation","grobid_abstract_attachment_id":111779348},"translated_abstract":null,"internal_url":"https://www.academia.edu/115344558/Assessment_of_quality_of_input_data_used_to_classify_ecosystems_according_to_the_IUCN_Red_List_methodology_The_case_of_the_central_Chile_hotspot","translated_internal_url":"","created_at":"2024-02-24T03:34:56.748-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":111779348,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779348/thumbnails/1.jpg","file_name":"Assessment-of-quality-of-input-data.pdf","download_url":"https://www.academia.edu/attachments/111779348/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Assessment_of_quality_of_input_data_used.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779348/Assessment-of-quality-of-input-data-libre.pdf?1708776674=\u0026response-content-disposition=attachment%3B+filename%3DAssessment_of_quality_of_input_data_used.pdf\u0026Expires=1732745195\u0026Signature=Q6Oq2p7V3EMB-tqGo-~YraaKRdxGxhASsBU~H~B~HOBUqvTNI-qAE4y67dTIpAAxYrew3kzsCT9Awi~8FxAk6VFTqR9oMx5m~FpSwHUydpBZHD5sNNyIn9750A9XOwhbO1lDz8rKrxG0ZV73OsQyUZlcYW32Dn92gNyhB0vPxbwx03U7kWufzsJROlDp-lzGuzHq9r2MHNykeHivCsDjEDPFBymBulV1A1h0g2PlWYE-k9cwUM9FHyhriCd8L0iGh2L8A8wE-fx3qUqwWuKltoRvMqiQZYdPBVmgSq71lvAgZ~j6M3OYyxt-B-1~r1ZrqEIxO4JejtFNGvInF5Kl6Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Assessment_of_quality_of_input_data_used_to_classify_ecosystems_according_to_the_IUCN_Red_List_methodology_The_case_of_the_central_Chile_hotspot","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":111779348,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/111779348/thumbnails/1.jpg","file_name":"Assessment-of-quality-of-input-data.pdf","download_url":"https://www.academia.edu/attachments/111779348/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Assessment_of_quality_of_input_data_used.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/111779348/Assessment-of-quality-of-input-data-libre.pdf?1708776674=\u0026response-content-disposition=attachment%3B+filename%3DAssessment_of_quality_of_input_data_used.pdf\u0026Expires=1732745195\u0026Signature=Q6Oq2p7V3EMB-tqGo-~YraaKRdxGxhASsBU~H~B~HOBUqvTNI-qAE4y67dTIpAAxYrew3kzsCT9Awi~8FxAk6VFTqR9oMx5m~FpSwHUydpBZHD5sNNyIn9750A9XOwhbO1lDz8rKrxG0ZV73OsQyUZlcYW32Dn92gNyhB0vPxbwx03U7kWufzsJROlDp-lzGuzHq9r2MHNykeHivCsDjEDPFBymBulV1A1h0g2PlWYE-k9cwUM9FHyhriCd8L0iGh2L8A8wE-fx3qUqwWuKltoRvMqiQZYdPBVmgSq71lvAgZ~j6M3OYyxt-B-1~r1ZrqEIxO4JejtFNGvInF5Kl6Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":78624,"name":"Biological Conservation","url":"https://www.academia.edu/Documents/in/Biological_Conservation"},{"id":200081,"name":"IUCN Red List","url":"https://www.academia.edu/Documents/in/IUCN_Red_List"},{"id":373754,"name":"Ecosystem","url":"https://www.academia.edu/Documents/in/Ecosystem"},{"id":376955,"name":"Threatened Species","url":"https://www.academia.edu/Documents/in/Threatened_Species"},{"id":392225,"name":"Sclerophyll","url":"https://www.academia.edu/Documents/in/Sclerophyll"},{"id":580287,"name":"Spatio-Temporal Data Quality","url":"https://www.academia.edu/Documents/in/Spatio-Temporal_Data_Quality"},{"id":1692214,"name":"Spatial Quality","url":"https://www.academia.edu/Documents/in/Spatial_Quality"},{"id":1760095,"name":"Ecosystem Collapse","url":"https://www.academia.edu/Documents/in/Ecosystem_Collapse"}],"urls":[{"id":39752221,"url":"https://api.elsevier.com/content/article/PII:S0006320716306954?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="115344507"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/115344507/Surviving_in_a_hostile_landscape_Nothofagus_alessandrii_remnant_forests_threatened_by_mega_fires_and_exotic_pine_invasion_in_the_coastal_range_of_central_Chile"><img alt="Research paper thumbnail of Surviving in a hostile landscape: Nothofagus alessandrii remnant forests threatened by mega-fires and exotic pine invasion in the coastal range of central Chile" class="work-thumbnail" src="https://attachments.academia-assets.com/111779291/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115344507/Surviving_in_a_hostile_landscape_Nothofagus_alessandrii_remnant_forests_threatened_by_mega_fires_and_exotic_pine_invasion_in_the_coastal_range_of_central_Chile">Surviving in a hostile landscape: Nothofagus alessandrii remnant forests threatened by mega-fires and exotic pine invasion in the coastal range of central Chile</a></div><div class="wp-workCard_item"><span>Oryx</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Nothofagus alessandrii, categorized as Endangered on the IUCN Red List, is an endemic, deciduous ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Nothofagus alessandrii, categorized as Endangered on the IUCN Red List, is an endemic, deciduous tree species of the coastal range of central Chile. We assessed the effects of fire severity, invasion by the exotic fire-prone Pinus radiata, and land-cover composition and configuration of the landscape on the resilience of fragments of N. alessandrii after a mega-fire in 2017. We used remote sensing data to estimate land-use classes and cover, fire severity and invasion cover of P. radiata. We monitored forest composition and structure and post-fire responses of N. alessandrii forests in situ for 2 years after the mega-fire. In the coastal Maule region wildfires have been favoured by intense drought and widespread exotic pine plantations, increasing the ability of fire-adapted invasive species to colonize native forest remnants. Over 85% of N. alessandrii forests were moderately or severely burnt. The propagation and severity of fire was probably amplified by the exotic pines located ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1c5f8abdecf3eaf7460a2472d3563aa8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":111779291,"asset_id":115344507,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/111779291/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="115344507"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115344507"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115344507; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115344507]").text(description); $(".js-view-count[data-work-id=115344507]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115344507; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115344507']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115344507, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "1c5f8abdecf3eaf7460a2472d3563aa8" } } $('.js-work-strip[data-work-id=115344507]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115344507,"title":"Surviving in a hostile landscape: Nothofagus alessandrii remnant forests threatened by mega-fires and exotic pine invasion in the coastal range of central Chile","translated_title":"","metadata":{"abstract":"Nothofagus alessandrii, categorized as Endangered on the IUCN Red List, is an endemic, deciduous tree species of the coastal range of central Chile. We assessed the effects of fire severity, invasion by the exotic fire-prone Pinus radiata, and land-cover composition and configuration of the landscape on the resilience of fragments of N. alessandrii after a mega-fire in 2017. We used remote sensing data to estimate land-use classes and cover, fire severity and invasion cover of P. radiata. We monitored forest composition and structure and post-fire responses of N. alessandrii forests in situ for 2 years after the mega-fire. In the coastal Maule region wildfires have been favoured by intense drought and widespread exotic pine plantations, increasing the ability of fire-adapted invasive species to colonize native forest remnants. Over 85% of N. alessandrii forests were moderately or severely burnt. The propagation and severity of fire was probably amplified by the exotic pines located ...","publisher":"Cambridge University Press (CUP)","publication_name":"Oryx"},"translated_abstract":"Nothofagus alessandrii, categorized as Endangered on the IUCN Red List, is an endemic, deciduous tree species of the coastal range of central Chile. We assessed the effects of fire severity, invasion by the exotic fire-prone Pinus radiata, and land-cover composition and configuration of the landscape on the resilience of fragments of N. alessandrii after a mega-fire in 2017. We used remote sensing data to estimate land-use classes and cover, fire severity and invasion cover of P. radiata. We monitored forest composition and structure and post-fire responses of N. alessandrii forests in situ for 2 years after the mega-fire. In the coastal Maule region wildfires have been favoured by intense drought and widespread exotic pine plantations, increasing the ability of fire-adapted invasive species to colonize native forest remnants. Over 85% of N. alessandrii forests were moderately or severely burnt. The propagation and severity of fire was probably amplified by the exotic pines located 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href="https://www.academia.edu/105651221/The_Landscape_Fire_Scars_Database_mapping_historical_burned_area_and_fire_severity_in_Chile"><img alt="Research paper thumbnail of The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile" class="work-thumbnail" src="https://attachments.academia-assets.com/105051153/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/105651221/The_Landscape_Fire_Scars_Database_mapping_historical_burned_area_and_fire_severity_in_Chile">The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="33c34d8ffcd44d6f9050f3734a0f05fe" class="wp-workCard--action" rel="nofollow" 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="105651220"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/105651220/Paquete_tecnol%C3%B3gico_para_la_optimizaci%C3%B3n_del_recurso_h%C3%ADdrico_en_peque%C3%B1os_productores_de_aguacates_y_c%C3%ADtricos_en_Chile_Central"><img alt="Research paper thumbnail of Paquete tecnológico para la optimización del recurso hídrico en pequeños productores de aguacates y cítricos en Chile Central" class="work-thumbnail" src="https://attachments.academia-assets.com/105051124/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/105651220/Paquete_tecnol%C3%B3gico_para_la_optimizaci%C3%B3n_del_recurso_h%C3%ADdrico_en_peque%C3%B1os_productores_de_aguacates_y_c%C3%ADtricos_en_Chile_Central">Paquete tecnológico para la optimización del recurso hídrico en pequeños productores de aguacates y cítricos en Chile Central</a></div><div class="wp-workCard_item"><span>Aqua-LAC</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">En un contexto de cambio climático con menor disponibilidad de agua, resulta relevante incorporar...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">En un contexto de cambio climático con menor disponibilidad de agua, resulta relevante incorporar tecnologías de riego que facilitan el uso eficiente y sustentable del agua en la agricultura familiar campesina (AFC). Por ello, se aplicó una metodología de estimación del tiempo y frecuencia de riego, utilizando tecnologías para el seguimiento del estado de la vegetación, la humedad de suelo y el diagnóstico físico de los suelos. Esta metodología se aplicó durante tres temporadas en huertos de aguacate y cítricos de 40 productores pertenecientes a la AFC de la región de O’Higgins, incorporando un fuerte componente de transferencia tecnológica. Los resultados indican que la principal limitante productiva, desde el punto de vista físico del suelo, correspondió al bajo nivel de poros gruesos (&gt;50 μm), los cuales no superaron el 15% en el 60% de los casos, y, sumado a un ineficiente manejo del riego (sistemas de riego con baja mantención y erróneas prácticas de riego), ha limitado la p...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d80d9c25c121e8c80a38c9cbdb8bbcd9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105051124,"asset_id":105651220,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105051124/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="105651220"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="105651220"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 105651220; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=105651220]").text(description); $(".js-view-count[data-work-id=105651220]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 105651220; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='105651220']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 105651220, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d80d9c25c121e8c80a38c9cbdb8bbcd9" } } $('.js-work-strip[data-work-id=105651220]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":105651220,"title":"Paquete tecnológico para la optimización del recurso hídrico en pequeños productores de aguacates y cítricos en Chile Central","translated_title":"","metadata":{"abstract":"En un contexto de cambio climático con menor disponibilidad de agua, resulta relevante incorporar tecnologías de riego que facilitan el uso eficiente y sustentable del agua en la agricultura familiar campesina (AFC). Por ello, se aplicó una metodología de estimación del tiempo y frecuencia de riego, utilizando tecnologías para el seguimiento del estado de la vegetación, la humedad de suelo y el diagnóstico físico de los suelos. Esta metodología se aplicó durante tres temporadas en huertos de aguacate y cítricos de 40 productores pertenecientes a la AFC de la región de O’Higgins, incorporando un fuerte componente de transferencia tecnológica. Los resultados indican que la principal limitante productiva, desde el punto de vista físico del suelo, correspondió al bajo nivel de poros gruesos (\u0026gt;50 μm), los cuales no superaron el 15% en el 60% de los casos, y, sumado a un ineficiente manejo del riego (sistemas de riego con baja mantención y erróneas prácticas de riego), ha limitado la p...","publisher":"UNESCO","publication_name":"Aqua-LAC"},"translated_abstract":"En un contexto de cambio climático con menor disponibilidad de agua, resulta relevante incorporar tecnologías de riego que facilitan el uso eficiente y sustentable del agua en la agricultura familiar campesina (AFC). Por ello, se aplicó una metodología de estimación del tiempo y frecuencia de riego, utilizando tecnologías para el seguimiento del estado de la vegetación, la humedad de suelo y el diagnóstico físico de los suelos. Esta metodología se aplicó durante tres temporadas en huertos de aguacate y cítricos de 40 productores pertenecientes a la AFC de la región de O’Higgins, incorporando un fuerte componente de transferencia tecnológica. Los resultados indican que la principal limitante productiva, desde el punto de vista físico del suelo, correspondió al bajo nivel de poros gruesos (\u0026gt;50 μm), los cuales no superaron el 15% en el 60% de los casos, y, sumado a un ineficiente manejo del riego (sistemas de riego con baja mantención y erróneas prácticas de riego), ha limitado la p...","internal_url":"https://www.academia.edu/105651220/Paquete_tecnol%C3%B3gico_para_la_optimizaci%C3%B3n_del_recurso_h%C3%ADdrico_en_peque%C3%B1os_productores_de_aguacates_y_c%C3%ADtricos_en_Chile_Central","translated_internal_url":"","created_at":"2023-08-16T06:09:00.559-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105051124,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051124/thumbnails/1.jpg","file_name":"236.pdf","download_url":"https://www.academia.edu/attachments/105051124/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Paquete_tecnologico_para_la_optimizacion.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051124/236-libre.pdf?1692192678=\u0026response-content-disposition=attachment%3B+filename%3DPaquete_tecnologico_para_la_optimizacion.pdf\u0026Expires=1732745195\u0026Signature=bwn1h4jhhVJL6cPC~zgOUugrFDZF0aX3PDtPBfykUrBZQ4YZQGZXQkN92fv391MBGi8iX77bxY96vdlLGcpsdwzKMnO8xwwGXgwP7VxBFs90oV~7GfMMeml5cNkDBueB4HgEuI-Sl0iy705vSa~DIey6jcFuKzmWbtsE~9ws2925tuv~4sDiMIdueDc3Xl09C28JCm0zblkRXmQb8AOMifFQhFBYHvmTEJPNoJWfKaATbH2Ru4T7gb8bXDP8gZO09xOb6FqmqgTMusERX0AsieRxvUi01G4Cve0-3Jb8rioAFoSdjwRkOp8ru1Ax~Mza6fhQsw3QIOGlj94qmVjCmQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Paquete_tecnológico_para_la_optimización_del_recurso_hídrico_en_pequeños_productores_de_aguacates_y_cítricos_en_Chile_Central","translated_slug":"","page_count":18,"language":"es","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":105051124,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051124/thumbnails/1.jpg","file_name":"236.pdf","download_url":"https://www.academia.edu/attachments/105051124/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Paquete_tecnologico_para_la_optimizacion.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051124/236-libre.pdf?1692192678=\u0026response-content-disposition=attachment%3B+filename%3DPaquete_tecnologico_para_la_optimizacion.pdf\u0026Expires=1732745195\u0026Signature=bwn1h4jhhVJL6cPC~zgOUugrFDZF0aX3PDtPBfykUrBZQ4YZQGZXQkN92fv391MBGi8iX77bxY96vdlLGcpsdwzKMnO8xwwGXgwP7VxBFs90oV~7GfMMeml5cNkDBueB4HgEuI-Sl0iy705vSa~DIey6jcFuKzmWbtsE~9ws2925tuv~4sDiMIdueDc3Xl09C28JCm0zblkRXmQb8AOMifFQhFBYHvmTEJPNoJWfKaATbH2Ru4T7gb8bXDP8gZO09xOb6FqmqgTMusERX0AsieRxvUi01G4Cve0-3Jb8rioAFoSdjwRkOp8ru1Ax~Mza6fhQsw3QIOGlj94qmVjCmQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":105051123,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051123/thumbnails/1.jpg","file_name":"236.pdf","download_url":"https://www.academia.edu/attachments/105051123/download_file","bulk_download_file_name":"Paquete_tecnologico_para_la_optimizacion.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051123/236-libre.pdf?1692192674=\u0026response-content-disposition=attachment%3B+filename%3DPaquete_tecnologico_para_la_optimizacion.pdf\u0026Expires=1732745195\u0026Signature=G8~SVxccOgHm7rb76VzVFLdjQaGuezYbwWi5B-~44V5cIFzNdvs~4OA~x2NrYCcIZfVo-8gwafW6eS~mhqDpAzhyMlwhyG4UuYT3gRAE4mnfJXVR0wxP1gO2hQ0ikmu5z-xnBBF3yPlNE1B4mHPM--7SxNyTcecj9guiO1Rftke1A8~SZAwRCV6v7Ju1M-owBgERRUQ5LPqgHdh~CnlC6x9cbr4XBBi15LL8QS8jbe7xor8fUTwn8nKMFqGHFlzP5u4jGQ-tWF23Z-A45Emm4WEjoAtdmC8lG2sNfGyyCMS6ACQbfqfXi~K0WX4SbgybbFpJkhAjUr2GIYqyVciWMA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":951,"name":"Humanities","url":"https://www.academia.edu/Documents/in/Humanities"}],"urls":[{"id":33454460,"url":"https://aqua-lac.org/index.php/Aqua-LAC/article/download/264/236/"}]}, dispatcherData: dispatcherData }); 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a552d1c3bdc65b2c231ae0945b83eb82" } } $('.js-work-strip[data-work-id=105651218]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":105651218,"title":"Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Vegetation biomass is a globally important climate-relevant terrestrial carbon pool and also drives local hydrological systems via evapotranspiration. Vegetation biomass of individual vegetation types has been successfully estimated from active and passive remote sensing data. However, for many tasks, landscape-level biomass maps across several vegetation types are more suitable than biomass maps of individual vegetation types. For example, the validation of ecohydrological models and carbon budgeting typically requires spatially continuous biomass estimates, independent from vegetation type. Studies that derive biomass estimates across multiple vegetation or land-cover types to merge them into a single landscape-level biomass map are still scarce, and corresponding workflows must be developed. Here, we present a workflow to derive biomass estimates on landscape-level for a large watershed in central Chile. Our workflow has three steps: First, we combine field plotbased biomass estimates with spectral and structural information collected from Sentinel-2, TanDEM-X and airborne LiDAR data to map grassland, shrubland, native forests and pine plantation biomass using random forest regressions with an automatic feature selection. Second, we predict all models to the entire landscape. Third, we derive a land-cover map including the four considered vegetation types. We then use this land-cover map to assign the correct vegetation type-specific biomass estimate to each pixel according to one of the four considered vegetation types. Using a single repeatable workflow, we obtained biomass predictions comparable to earlier studies focusing on only one of the four vegetation types (Spearman correlation between 0.80 and 0.84; normalized-RMSE below 16 % for all vegetation types). For all woody vegetation types, height metrics were amongst the selected predictors, while for grasslands, only Sentinel-2 bands were selected. The land-cover was also mapped with high accuracy (OA = 83.1 %). The final landscape-level biomass map spatially agrees well with the known biomass distribution patterns in the watershed. Progressing from vegetation-type specific maps towards landscape-level biomass maps is an essential step towards integrating remote-sensing based biomass estimates into models for water and carbon management.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"International Journal of Applied Earth Observation and Geoinformation","grobid_abstract_attachment_id":105051154},"translated_abstract":null,"internal_url":"https://www.academia.edu/105651218/Using_Sentinel_2_and_canopy_height_models_to_derive_a_landscape_level_biomass_map_covering_multiple_vegetation_types","translated_internal_url":"","created_at":"2023-08-16T06:09:00.141-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105051154,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051154/thumbnails/1.jpg","file_name":"89371763.pdf","download_url":"https://www.academia.edu/attachments/105051154/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Using_Sentinel_2_and_canopy_height_model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051154/89371763-libre.pdf?1692192690=\u0026response-content-disposition=attachment%3B+filename%3DUsing_Sentinel_2_and_canopy_height_model.pdf\u0026Expires=1732745195\u0026Signature=Wvlu4yHca3vtGzxtoWzATgIoe9hvAmJk3~Ihn~0-ynHwHTkmZ0f015kZfpdwXsavHKtVc1J1B~Ddz9FPOCHQMtux8Gxgm-2nwmforkgBkPDeiRKLJELZ4kfYIu3OE-UaCmG-BJ-8pRirgWH6jXt7Z6xUae2DtlOlP-UDMDyYLdrebmqZn-Y-nmg44MBz3qh5tmtccON~o5RDxuzV-HU27cUJQhFHU0kUe7EDss9GFFHA1XVBitdbPtQQ51OFs4xlCXuCGcNa1lEf~0wBIPl6dT707nxekBevA4zt5fowVjOMrAxglXvv4gJonF0Z79w-Z3mCbxHC1Ym-UB97~9Eesw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Using_Sentinel_2_and_canopy_height_models_to_derive_a_landscape_level_biomass_map_covering_multiple_vegetation_types","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":105051154,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051154/thumbnails/1.jpg","file_name":"89371763.pdf","download_url":"https://www.academia.edu/attachments/105051154/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Using_Sentinel_2_and_canopy_height_model.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051154/89371763-libre.pdf?1692192690=\u0026response-content-disposition=attachment%3B+filename%3DUsing_Sentinel_2_and_canopy_height_model.pdf\u0026Expires=1732745195\u0026Signature=Wvlu4yHca3vtGzxtoWzATgIoe9hvAmJk3~Ihn~0-ynHwHTkmZ0f015kZfpdwXsavHKtVc1J1B~Ddz9FPOCHQMtux8Gxgm-2nwmforkgBkPDeiRKLJELZ4kfYIu3OE-UaCmG-BJ-8pRirgWH6jXt7Z6xUae2DtlOlP-UDMDyYLdrebmqZn-Y-nmg44MBz3qh5tmtccON~o5RDxuzV-HU27cUJQhFHU0kUe7EDss9GFFHA1XVBitdbPtQQ51OFs4xlCXuCGcNa1lEf~0wBIPl6dT707nxekBevA4zt5fowVjOMrAxglXvv4gJonF0Z79w-Z3mCbxHC1Ym-UB97~9Eesw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":5411,"name":"Biomass","url":"https://www.academia.edu/Documents/in/Biomass"},{"id":79495,"name":"Land Cover","url":"https://www.academia.edu/Documents/in/Land_Cover"},{"id":162010,"name":"Geomatic Engineering","url":"https://www.academia.edu/Documents/in/Geomatic_Engineering"},{"id":1389742,"name":"Copernicus Sentinel-2 (MSI) Mission","url":"https://www.academia.edu/Documents/in/Copernicus_Sentinel-2_MSI_Mission"}],"urls":[{"id":33454459,"url":"https://api.elsevier.com/content/article/PII:S0303243420308795?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="105651217"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/105651217/CHLSOC_The_Chilean_Soil_Organic_Carbon_database_a_multi_institutional_collaborative_effort"><img alt="Research paper thumbnail of CHLSOC: The Chilean Soil Organic Carbon database, a multi-institutional collaborative effort" class="work-thumbnail" src="https://attachments.academia-assets.com/105051150/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/105651217/CHLSOC_The_Chilean_Soil_Organic_Carbon_database_a_multi_institutional_collaborative_effort">CHLSOC: The Chilean Soil Organic Carbon database, a multi-institutional collaborative effort</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5862f38e9be0d551ce1c60d2d97e190e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105051150,"asset_id":105651217,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105051150/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="105651217"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="105651217"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 105651217; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=105651217]").text(description); $(".js-view-count[data-work-id=105651217]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 105651217; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='105651217']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 105651217, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5862f38e9be0d551ce1c60d2d97e190e" } } $('.js-work-strip[data-work-id=105651217]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":105651217,"title":"CHLSOC: The Chilean Soil Organic Carbon database, a multi-institutional collaborative effort","translated_title":"","metadata":{"publisher":"Copernicus GmbH","grobid_abstract":"One of the critical aspects in modelling soil organic carbon (SOC) predictions is the lack of access to soil information which is usually concentrated in regions of high agricultural interest. In Chile, most soil and SOC data to date is highly concentrated in 25% of the territory that has intensive agricultural or forestry use. Vast areas beyond those forms of land use have few or no soil data available. Here, we present a new database of SOC for the country, which is the result of an unprecedented national effort under the frame of the Global Soil Partnership that help to build the largest database on SOC to","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"grobid_abstract_attachment_id":105051150},"translated_abstract":null,"internal_url":"https://www.academia.edu/105651217/CHLSOC_The_Chilean_Soil_Organic_Carbon_database_a_multi_institutional_collaborative_effort","translated_internal_url":"","created_at":"2023-08-16T06:08:59.938-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105051150,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051150/thumbnails/1.jpg","file_name":"essd-2019-161.pdf","download_url":"https://www.academia.edu/attachments/105051150/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CHLSOC_The_Chilean_Soil_Organic_Carbon_d.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051150/essd-2019-161-libre.pdf?1692192669=\u0026response-content-disposition=attachment%3B+filename%3DCHLSOC_The_Chilean_Soil_Organic_Carbon_d.pdf\u0026Expires=1732745195\u0026Signature=F5MLLGzZ9HNeMRwwN3ttKxJV18B4tQ4GcHw85vdzxPeapGq7lvOiObyd6bBIzp5Y2I-O7M9ZQVNCMuBvfNcmFqI~GvYYLM3Yq5G~cuGpwzzWuvQ1kISIzj5CNDKmqgikS2LzCSOWY~uVnO7Eg36bjQ0iIVE--86DjYwwAMtEVu1azM8uY3iaaZdJiQ-4gK6u6pQrSdOdS4Arh4lKUwYhYWwXoscvxqib~GF1j7NO4py0pQNrAindjSN-9LZhTWJckyJ9imT1go5lX0gSoAoddGZC2tTOv340zKKbhGlSA2Chs~5SrNpNqOzI0rE41oljVGSDWs68BrsKjOsD5SlQ-w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"CHLSOC_The_Chilean_Soil_Organic_Carbon_database_a_multi_institutional_collaborative_effort","translated_slug":"","page_count":17,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":105051150,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051150/thumbnails/1.jpg","file_name":"essd-2019-161.pdf","download_url":"https://www.academia.edu/attachments/105051150/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"CHLSOC_The_Chilean_Soil_Organic_Carbon_d.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051150/essd-2019-161-libre.pdf?1692192669=\u0026response-content-disposition=attachment%3B+filename%3DCHLSOC_The_Chilean_Soil_Organic_Carbon_d.pdf\u0026Expires=1732745195\u0026Signature=F5MLLGzZ9HNeMRwwN3ttKxJV18B4tQ4GcHw85vdzxPeapGq7lvOiObyd6bBIzp5Y2I-O7M9ZQVNCMuBvfNcmFqI~GvYYLM3Yq5G~cuGpwzzWuvQ1kISIzj5CNDKmqgikS2LzCSOWY~uVnO7Eg36bjQ0iIVE--86DjYwwAMtEVu1azM8uY3iaaZdJiQ-4gK6u6pQrSdOdS4Arh4lKUwYhYWwXoscvxqib~GF1j7NO4py0pQNrAindjSN-9LZhTWJckyJ9imT1go5lX0gSoAoddGZC2tTOv340zKKbhGlSA2Chs~5SrNpNqOzI0rE41oljVGSDWs68BrsKjOsD5SlQ-w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":194454,"name":"Soil Carbon","url":"https://www.academia.edu/Documents/in/Soil_Carbon"},{"id":1119056,"name":"Database","url":"https://www.academia.edu/Documents/in/Database"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="105651216"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/105651216/Operationalizing_the_IUCN_Red_List_of_Ecosystems_in_public_policy"><img alt="Research paper thumbnail of Operationalizing the IUCN Red List of Ecosystems in public policy" class="work-thumbnail" src="https://attachments.academia-assets.com/105051156/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/105651216/Operationalizing_the_IUCN_Red_List_of_Ecosystems_in_public_policy">Operationalizing the IUCN Red List of Ecosystems in public policy</a></div><div class="wp-workCard_item"><span>Conservation Letters</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ec03d58272509fac60b98fc4ef6c2025" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105051156,"asset_id":105651216,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105051156/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="105651216"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="105651216"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 105651216; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=105651216]").text(description); $(".js-view-count[data-work-id=105651216]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 105651216; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='105651216']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 105651216, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ec03d58272509fac60b98fc4ef6c2025" } } $('.js-work-strip[data-work-id=105651216]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":105651216,"title":"Operationalizing the IUCN Red List of Ecosystems in public policy","translated_title":"","metadata":{"publisher":"Wiley","grobid_abstract":"Threats to ecosystems are closely linked to human development, whereas lack, insufficiency, and inefficiency of public policies are important drivers of environmental decline. Previous studies have discussed the contribution of IUCN's Red List of Ecosystems (RLE) in conservation issues; however, its applications in different policy fields and instruments for achieving biodiversity conservation have not been explored in detail. Here, we introduce a framework to operationalize the RLE in public policy, facilitating work of governments, practitioners, and decision makers. Our analysis identified 20 policy instruments that could reduce risks to ecosystems highlighted by different Red List criteria. We discuss how RLE could inform the policy process by analyzing different instruments that could be designed, implemented, and modified to achieve risk reduction. We also present practical examples from around the world showing how ecosystem conservation could be improved by operationalizing the RLE in policy instruments. The RLE criteria can inform the policy process by helping to shape objectives and identifying policy instruments that directly address the causes and severity of risks illuminated in Red List assessments. We conclude that RLE could be expanded into a broader holistic spectrum of policy instruments, which could be a key to achieving the ecosystem conservation. K E Y W O R D S assessment criteria, conservation planning, ecosystem conservation, land use planning, policy instruments, prioritization, threatened ecosystems This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Conservation Letters","grobid_abstract_attachment_id":105051156},"translated_abstract":null,"internal_url":"https://www.academia.edu/105651216/Operationalizing_the_IUCN_Red_List_of_Ecosystems_in_public_policy","translated_internal_url":"","created_at":"2023-08-16T06:08:59.693-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34933953,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":105051156,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051156/thumbnails/1.jpg","file_name":"conl.pdf","download_url":"https://www.academia.edu/attachments/105051156/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Operationalizing_the_IUCN_Red_List_of_Ec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051156/conl-libre.pdf?1692192666=\u0026response-content-disposition=attachment%3B+filename%3DOperationalizing_the_IUCN_Red_List_of_Ec.pdf\u0026Expires=1732745195\u0026Signature=gXzS8R4WHH2xOhfd4yMwbVGjSV2WgTNSCjArRW2tzHaG7JD71kRbPth1PQQO1p-O5nxEhUhAWXg3CM~Az3~N31NexdR55N4UOVQVwbe2K7lJ1grUzHbXhuc5kw-X095c~lsZOkqZ9XWOyw6ZzHr~9mVL8TXxTmuDeDBolxjssFaZ7wue4Nkf8Fic3W6qRgMYxblgkaIsEBcTn7aERECPmIJMh-wTb-TFsHP9YNfPoFLq6SAK3jKJ7e9BJX4uXbaqWG5KPi8k5yh6iQCSnWx7uOirIeKbOGSpalkCpFJLwOCMsA8rY5ErVcDWbu4yvsKLPn2Pc6ct7IKlx1iNV7306Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Operationalizing_the_IUCN_Red_List_of_Ecosystems_in_public_policy","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":34933953,"first_name":"Mauricio","middle_initials":null,"last_name":"Galleguillos","page_name":"MauricioGalleguillos","domain_name":"uchile","created_at":"2015-09-15T18:55:41.619-07:00","display_name":"Mauricio Galleguillos","url":"https://uchile.academia.edu/MauricioGalleguillos"},"attachments":[{"id":105051156,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/105051156/thumbnails/1.jpg","file_name":"conl.pdf","download_url":"https://www.academia.edu/attachments/105051156/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Operationalizing_the_IUCN_Red_List_of_Ec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/105051156/conl-libre.pdf?1692192666=\u0026response-content-disposition=attachment%3B+filename%3DOperationalizing_the_IUCN_Red_List_of_Ec.pdf\u0026Expires=1732745195\u0026Signature=gXzS8R4WHH2xOhfd4yMwbVGjSV2WgTNSCjArRW2tzHaG7JD71kRbPth1PQQO1p-O5nxEhUhAWXg3CM~Az3~N31NexdR55N4UOVQVwbe2K7lJ1grUzHbXhuc5kw-X095c~lsZOkqZ9XWOyw6ZzHr~9mVL8TXxTmuDeDBolxjssFaZ7wue4Nkf8Fic3W6qRgMYxblgkaIsEBcTn7aERECPmIJMh-wTb-TFsHP9YNfPoFLq6SAK3jKJ7e9BJX4uXbaqWG5KPi8k5yh6iQCSnWx7uOirIeKbOGSpalkCpFJLwOCMsA8rY5ErVcDWbu4yvsKLPn2Pc6ct7IKlx1iNV7306Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":156614,"name":"Conservation letters","url":"https://www.academia.edu/Documents/in/Conservation_letters"},{"id":200081,"name":"IUCN Red List","url":"https://www.academia.edu/Documents/in/IUCN_Red_List"},{"id":360088,"name":"Operationalization","url":"https://www.academia.edu/Documents/in/Operationalization"}],"urls":[{"id":33454458,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/conl.12665"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="3551137" id="isi"><div class="js-work-strip profile--work_container" data-work-id="11147637"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/11147637/Using_Ridge_Regression_Models_to_Estimate_Grain_Yield_from_Field_Spectral_Data_in_Bread_Wheat_Triticum_Aestivum_L_Grown_under_Three_Water_Regimes"><img alt="Research paper thumbnail of Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes" class="work-thumbnail" src="https://attachments.academia-assets.com/36796919/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/11147637/Using_Ridge_Regression_Models_to_Estimate_Grain_Yield_from_Field_Spectral_Data_in_Bread_Wheat_Triticum_Aestivum_L_Grown_under_Three_Water_Regimes">Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://uchile.academia.edu/PSilva">P. Silva</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://utalca.academia.edu/GustavoLobos">Gustavo Lobos</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://uchile.academia.edu/MauricioGalleguillos">Mauricio Galleguillos</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/IvanArielMatusTejos">Ivan Ariel Matus Tejos</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="97c2d39652f876457936ec6d7c26ae76" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":36796919,"asset_id":11147637,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/36796919/download_file?st=MTczMjc0MTU5NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="11147637"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="11147637"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 11147637; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=11147637]").text(description); $(".js-view-count[data-work-id=11147637]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 11147637; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='11147637']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 11147637, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "97c2d39652f876457936ec6d7c26ae76" } } $('.js-work-strip[data-work-id=11147637]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":11147637,"title":"Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) 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