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href="https://www.academia.edu/108073506/An_updated_checklist_of_Mozambique_s_vascular_plants"><img alt="Research paper thumbnail of An updated checklist of Mozambique’s vascular plants" class="work-thumbnail" src="https://attachments.academia-assets.com/106555969/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/108073506/An_updated_checklist_of_Mozambique_s_vascular_plants">An updated checklist of Mozambique’s vascular plants</a></div><div class="wp-workCard_item"><span>PhytoKeys</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An updated checklist of Mozambique’s vascular plants is presented. It was compiled referring to s...</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">An updated checklist of Mozambique’s vascular plants is presented. It was compiled referring to several information sources such as existing literature, relevant online databases and herbaria collections. The checklist includes 7,099 taxa (5,957 species, 605 subspecies, 537 varieties), belonging to 226 families and 1,746 genera. There are 6,804 angiosperms, 257 pteridophytes, and 38 gymnosperms. A total of 6,171 taxa are native to Mozambique, while 602 are introduced and the remaining 326 taxa were considered as uncertain status. The endemism level for Mozambique’s flora was assessed at 9.59%, including 278 strict-endemic taxa and 403 near-endemic. 58.2% of taxa are herbaceous, while shrubs and trees account respectively for 26.5% and 9.2% of the taxa. The checklist also includes ferns (3.6%), lianas (1.7%), subshrubs (0.5%) and cycads (0.3%). Fabaceae, Poaceae and Asteraceae are the three most represented families, with 891, 543 and 428 taxa, respectively. The extinction risk of 1,...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="423d6cf5bcf6ed23ee51ba1cb9166618" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106555969,"asset_id":108073506,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106555969/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&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="108073506"><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="108073506"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108073506; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108073506]").text(description); $(".js-view-count[data-work-id=108073506]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108073506; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108073506']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 108073506, 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: "423d6cf5bcf6ed23ee51ba1cb9166618" } } $('.js-work-strip[data-work-id=108073506]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108073506,"title":"An updated checklist of Mozambique’s vascular plants","translated_title":"","metadata":{"abstract":"An updated checklist of Mozambique’s vascular plants is presented. 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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="94036942"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94036942/An_ethnobotanical_survey_in_the_Limpopo_National_Park_Gaza_province_Mozambique_traditional_knowledge_related_to_plant_use"><img alt="Research paper thumbnail of An ethnobotanical survey in the Limpopo National Park, Gaza province, Mozambique: traditional knowledge related to plant use" 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" rel="nofollow" href="https://www.academia.edu/94036942/An_ethnobotanical_survey_in_the_Limpopo_National_Park_Gaza_province_Mozambique_traditional_knowledge_related_to_plant_use">An ethnobotanical survey in the Limpopo National Park, Gaza province, Mozambique: traditional knowledge related to plant use</a></div><div class="wp-workCard_item"><span>Rendiconti Lincei. Scienze Fisiche e Naturali</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study aims to document the Mozambican traditional knowledge related to the use of plants. An...</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">This study aims to document the Mozambican traditional knowledge related to the use of plants. An ethnobotanical survey was conducted in the Limpopo National Park (Gaza province, Mozambique). Data were gathered through field expeditions which involved interviews with five local healers, selected as key informants. 101 plant species, belonging to 49 families and 83 genera, related to traditional uses were recorded. For each species, vernacular name, use categories and used parts are reported. Most of the identified plants are used for medicinal purposes (94.1%) with an analogously extensive (44.1%) also directed to food use. Plants are also used for veterinary (14.7%), cosmetic (12.7%), and handicraft (12.7%) purposes. Whereas only few species are used as fuel (4.9%), several species (37.3%) are associated to local beliefs or mystical rituals. Roots are the most used part. To identify the most important plant species used by indigenous communities, an ethnobotanical value was calculated through Uses Totaled index. Based on such cultural index, the most valuable species are Euclea divinorum, Ximenia caffra, Elaeodendron schlechterianum and Peltophorum africanum. Our findings highlight the potential of Mozambique’s flora for future conservation and development research aimed at identifying genetic resources which could also open the way to notable commercial perspectives, including through the Access and Benefit Sharing process.</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="94036942"><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="94036942"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036942; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036942]").text(description); $(".js-view-count[data-work-id=94036942]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036942; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036942']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036942, 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" } } $('.js-work-strip[data-work-id=94036942]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036942,"title":"An ethnobotanical survey in the Limpopo National Park, Gaza province, Mozambique: traditional knowledge related to plant use","translated_title":"","metadata":{"abstract":"This study aims to document the Mozambican traditional knowledge related to the use of plants. An ethnobotanical survey was conducted in the Limpopo National Park (Gaza province, Mozambique). Data were gathered through field expeditions which involved interviews with five local healers, selected as key informants. 101 plant species, belonging to 49 families and 83 genera, related to traditional uses were recorded. For each species, vernacular name, use categories and used parts are reported. Most of the identified plants are used for medicinal purposes (94.1%) with an analogously extensive (44.1%) also directed to food use. Plants are also used for veterinary (14.7%), cosmetic (12.7%), and handicraft (12.7%) purposes. Whereas only few species are used as fuel (4.9%), several species (37.3%) are associated to local beliefs or mystical rituals. Roots are the most used part. To identify the most important plant species used by indigenous communities, an ethnobotanical value was calculated through Uses Totaled index. Based on such cultural index, the most valuable species are Euclea divinorum, Ximenia caffra, Elaeodendron schlechterianum and Peltophorum africanum. Our findings highlight the potential of Mozambique’s flora for future conservation and development research aimed at identifying genetic resources which could also open the way to notable commercial perspectives, including through the Access and Benefit Sharing process.","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Rendiconti Lincei. Scienze Fisiche e Naturali"},"translated_abstract":"This study aims to document the Mozambican traditional knowledge related to the use of plants. An ethnobotanical survey was conducted in the Limpopo National Park (Gaza province, Mozambique). Data were gathered through field expeditions which involved interviews with five local healers, selected as key informants. 101 plant species, belonging to 49 families and 83 genera, related to traditional uses were recorded. For each species, vernacular name, use categories and used parts are reported. Most of the identified plants are used for medicinal purposes (94.1%) with an analogously extensive (44.1%) also directed to food use. Plants are also used for veterinary (14.7%), cosmetic (12.7%), and handicraft (12.7%) purposes. Whereas only few species are used as fuel (4.9%), several species (37.3%) are associated to local beliefs or mystical rituals. Roots are the most used part. To identify the most important plant species used by indigenous communities, an ethnobotanical value was calculated through Uses Totaled index. Based on such cultural index, the most valuable species are Euclea divinorum, Ximenia caffra, Elaeodendron schlechterianum and Peltophorum africanum. Our findings highlight the potential of Mozambique’s flora for future conservation and development research aimed at identifying genetic resources which could also open the way to notable commercial perspectives, including through the Access and Benefit Sharing process.","internal_url":"https://www.academia.edu/94036942/An_ethnobotanical_survey_in_the_Limpopo_National_Park_Gaza_province_Mozambique_traditional_knowledge_related_to_plant_use","translated_internal_url":"","created_at":"2022-12-31T01:09:01.774-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"An_ethnobotanical_survey_in_the_Limpopo_National_Park_Gaza_province_Mozambique_traditional_knowledge_related_to_plant_use","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"attachments":[],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":1700,"name":"Ethnobotany","url":"https://www.academia.edu/Documents/in/Ethnobotany"},{"id":31239,"name":"Traditional Knowledge","url":"https://www.academia.edu/Documents/in/Traditional_Knowledge"},{"id":89496,"name":"Etnobotany","url":"https://www.academia.edu/Documents/in/Etnobotany"},{"id":170531,"name":"Botany and Etnobotany","url":"https://www.academia.edu/Documents/in/Botany_and_Etnobotany"},{"id":209475,"name":"Access and Benefit Sharing","url":"https://www.academia.edu/Documents/in/Access_and_Benefit_Sharing"},{"id":284869,"name":"National Park","url":"https://www.academia.edu/Documents/in/National_Park"},{"id":1218440,"name":"Indigenous","url":"https://www.academia.edu/Documents/in/Indigenous"}],"urls":[{"id":27600916,"url":"https://link.springer.com/content/pdf/10.1007/s12210-022-01063-y.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="94036940"><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/94036940/Community_led_peatland_restoration_in_Southeast_Asia_5Rs_approach"><img alt="Research paper thumbnail of Community‐led peatland restoration in Southeast Asia: 5Rs approach" class="work-thumbnail" src="https://attachments.academia-assets.com/96608329/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/94036940/Community_led_peatland_restoration_in_Southeast_Asia_5Rs_approach">Community‐led peatland restoration in Southeast Asia: 5Rs approach</a></div><div class="wp-workCard_item"><span>Restoration Ecology</span><span>, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="709cf0c14cff0f144c04989f9c88890b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96608329,"asset_id":94036940,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96608329/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&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="94036940"><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="94036940"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036940; 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Despite this, these ecosystems are among the least studied and monitored of the world, and are increasingly threatened by anthropogenic activities. Peatland degradation is responsible for the largest greenhouse gases (GHGs) emission source from the agriculture, forestry, and other land use (AFOLU) sectors in the region. Peatland restoration is a key mitigation and preventative intervention to halt the degradation of these ecosystems. In recent years, a small number of studies have aimed to define peatland restoration processes and approaches, the latest being the 4Rs approach-Rewetting, Reduction of fire, Revegetation, and Revitalization. The latter component being focused on the local communities benefits, in terms of promoting diversified sustainable livelihoods. Based on evidence of successful peatland restoration interventions in Southeast Asia, which we define as being \"community-led,\" we propose a 5Rs approach to peatland restoration instead, with community participation embedded in each component of the approach, beyond Revitalization, as well as in a fifth crosscutting component: Reporting and monitoring (R5). The new community-led 5Rs approach can support the ongoing formulation, refinement and implementation of peatland restoration strategies and activities in Southeast Asia and beyond by achieving ecological restoration goals, while obtaining local communities endorsement and support, needed for the long-term sustainability of the restoration interventions.","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Restoration Ecology","grobid_abstract_attachment_id":96608329},"translated_abstract":null,"internal_url":"https://www.academia.edu/94036940/Community_led_peatland_restoration_in_Southeast_Asia_5Rs_approach","translated_internal_url":"","created_at":"2022-12-31T01:09:00.855-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":96608329,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96608329/thumbnails/1.jpg","file_name":"Terzano_Community-led_peatland_2022.pdf","download_url":"https://www.academia.edu/attachments/96608329/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Community_led_peatland_restoration_in_So.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96608329/Terzano_Community-led_peatland_2022-libre.pdf?1672479376=\u0026response-content-disposition=attachment%3B+filename%3DCommunity_led_peatland_restoration_in_So.pdf\u0026Expires=1732799500\u0026Signature=TukItcua~vigYBcqQnLdc~hyTItemrbybEgcI1N672dQe3FG-71L0CLxfnxrmbEcCsFrZpy-bX4NqhA01z5zpryskO5cGhoXvpphTFoaWg7Ru-9wE3xyze8h5aHG3k7oidiXQTqZFF2nmuD96VTpWLiXZKWZm5UGyZ1gMu3gneZGhQySJ-XXWa2-5ncvl~oXFRzjso8LMF3DrBZVbUwjavhJrsHT6hEHXBLGZiNT1R6PhSGBgRBTZ6AYV7oZqcMDPjlNQn3dXxLAq87kMW4p3p71L8XxssLU0dG1EhEHCbrR0FeIgc0NPx5kocSRMDpg8-pUeeq2nB0mJZCHa2yarg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Community_led_peatland_restoration_in_Southeast_Asia_5Rs_approach","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"attachments":[{"id":96608329,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96608329/thumbnails/1.jpg","file_name":"Terzano_Community-led_peatland_2022.pdf","download_url":"https://www.academia.edu/attachments/96608329/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Community_led_peatland_restoration_in_So.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96608329/Terzano_Community-led_peatland_2022-libre.pdf?1672479376=\u0026response-content-disposition=attachment%3B+filename%3DCommunity_led_peatland_restoration_in_So.pdf\u0026Expires=1732799500\u0026Signature=TukItcua~vigYBcqQnLdc~hyTItemrbybEgcI1N672dQe3FG-71L0CLxfnxrmbEcCsFrZpy-bX4NqhA01z5zpryskO5cGhoXvpphTFoaWg7Ru-9wE3xyze8h5aHG3k7oidiXQTqZFF2nmuD96VTpWLiXZKWZm5UGyZ1gMu3gneZGhQySJ-XXWa2-5ncvl~oXFRzjso8LMF3DrBZVbUwjavhJrsHT6hEHXBLGZiNT1R6PhSGBgRBTZ6AYV7oZqcMDPjlNQn3dXxLAq87kMW4p3p71L8XxssLU0dG1EhEHCbrR0FeIgc0NPx5kocSRMDpg8-pUeeq2nB0mJZCHa2yarg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":5221,"name":"Restoration Ecology","url":"https://www.academia.edu/Documents/in/Restoration_Ecology"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":49648,"name":"Livelihood","url":"https://www.academia.edu/Documents/in/Livelihood"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":76581,"name":"Peat","url":"https://www.academia.edu/Documents/in/Peat"},{"id":399889,"name":"Land Degradation","url":"https://www.academia.edu/Documents/in/Land_Degradation"},{"id":454471,"name":"Revegetation","url":"https://www.academia.edu/Documents/in/Revegetation"},{"id":1208617,"name":"Sustainability","url":"https://www.academia.edu/Documents/in/Sustainability"}],"urls":[{"id":27600914,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/rec.13642"}]}, 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="94036936"><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/94036936/Dataset_for_estimation_of_the_biotic_and_climatic_niche_breadths_and_geographic_range_size_of_beech_Fagus_species_worldwide"><img alt="Research paper thumbnail of Dataset for estimation of the biotic and climatic niche breadths and geographic range size of beech (Fagus) species worldwide" 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/94036936/Dataset_for_estimation_of_the_biotic_and_climatic_niche_breadths_and_geographic_range_size_of_beech_Fagus_species_worldwide">Dataset for estimation of the biotic and climatic niche breadths and geographic range size of beech (Fagus) species worldwide</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This dataset could be used to test whether the commonly observed positive range size–niche breadt...</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">This dataset could be used to test whether the commonly observed positive range size–niche breadth relationship, as posited by the &quot;niche breadth hypothesis&quot;, exists for Fagus, one of the most dominant and widespread broad‐leaved deciduous tree genera in temperate forests of the Northern Hemisphere. There are many ways to estimate niche breadth. Here, we estimated biotic and climatic niche breadths per species using plot‐based co‐occurrence data and climate data, respectively. The range sizes of the Fagus species were estimated with the raw data from the Chorology Database Halle. We examined the relationships of these estimates, and found that neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Our findings proved that the &quot;niche breadth hypothesis&quot; did not apply to the genus Fagus, and thus more attention should be paid to other factors (e.g., high among‐region variation in ...</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="94036936"><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="94036936"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036936; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036936]").text(description); $(".js-view-count[data-work-id=94036936]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036936; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036936']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036936, 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" } } $('.js-work-strip[data-work-id=94036936]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036936,"title":"Dataset for estimation of the biotic and climatic niche breadths and geographic range size of beech (Fagus) species worldwide","translated_title":"","metadata":{"abstract":"This dataset could be used to test whether the commonly observed positive range size–niche breadth relationship, as posited by the \u0026quot;niche breadth hypothesis\u0026quot;, exists for Fagus, one of the most dominant and widespread broad‐leaved deciduous tree genera in temperate forests of the Northern Hemisphere. There are many ways to estimate niche breadth. Here, we estimated biotic and climatic niche breadths per species using plot‐based co‐occurrence data and climate data, respectively. The range sizes of the Fagus species were estimated with the raw data from the Chorology Database Halle. We examined the relationships of these estimates, and found that neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Our findings proved that the \u0026quot;niche breadth hypothesis\u0026quot; did not apply to the genus Fagus, and thus more attention should be paid to other factors (e.g., high among‐region variation in ...","publisher":"Dryad","publication_date":{"day":null,"month":null,"year":2021,"errors":{}}},"translated_abstract":"This dataset could be used to test whether the commonly observed positive range size–niche breadth relationship, as posited by the \u0026quot;niche breadth hypothesis\u0026quot;, exists for Fagus, one of the most dominant and widespread broad‐leaved deciduous tree genera in temperate forests of the Northern Hemisphere. There are many ways to estimate niche breadth. Here, we estimated biotic and climatic niche breadths per species using plot‐based co‐occurrence data and climate data, respectively. The range sizes of the Fagus species were estimated with the raw data from the Chorology Database Halle. We examined the relationships of these estimates, and found that neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Our findings proved that the \u0026quot;niche breadth hypothesis\u0026quot; did not apply to the genus Fagus, and thus more attention should be paid to other factors (e.g., high among‐region variation in ...","internal_url":"https://www.academia.edu/94036936/Dataset_for_estimation_of_the_biotic_and_climatic_niche_breadths_and_geographic_range_size_of_beech_Fagus_species_worldwide","translated_internal_url":"","created_at":"2022-12-31T01:08:59.676-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Dataset_for_estimation_of_the_biotic_and_climatic_niche_breadths_and_geographic_range_size_of_beech_Fagus_species_worldwide","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"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="94036935"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94036935/EUNIS_ESy_Expert_system_for_automatic_classification_of_European_vegetation_plots_to_EUNIS_habitats"><img alt="Research paper thumbnail of EUNIS-ESy: Expert system for automatic classification of European vegetation plots to EUNIS habitats" 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" rel="nofollow" href="https://www.academia.edu/94036935/EUNIS_ESy_Expert_system_for_automatic_classification_of_European_vegetation_plots_to_EUNIS_habitats">EUNIS-ESy: Expert system for automatic classification of European vegetation plots to EUNIS habitats</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">&lt;strong&gt;EUNIS-ESy&lt;/strong&gt; is an expert system for automatic classification of Europe...</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">&lt;strong&gt;EUNIS-ESy&lt;/strong&gt; is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run in the JUICE program (Tichý 2002; <a href="https://www.sci.muni.cz/botany/juice/" rel="nofollow">https://www.sci.muni.cz/botany/juice/</a>), TURBOVEG 3 program (Hennekens 2015) and an R script developed by H. Bruelheide et al. (submitted). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification. &lt;strong&gt;1. Expert system and related files necessary to run it&lt;/strong&gt; 1.1. &lt;strong&gt;EUNIS-ESy-2020-06-08.txt &lt;/strong&gt;is a file containing the script for classification of vegetation plots by EUNIS-ESy. This version contains tested definitions for the revised classification Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats, and preliminary non-tested definitions of the older classification of Marine, Aquatic and Inland sparsely vegetated habitats. 1.2. &lt;strong&gt;Nomenclature-translation-from-Turboveg-2-databases.zip &lt;/strong&gt;is an archive containing the scripts for automatic translation of taxon concepts and names used in individual European Turboveg 2 databases (Hennekens &amp;amp; Schaminée 2001; <a href="https://www.synbiosys.alterra.nl/turboveg/" rel="nofollow">https://www.synbiosys.alterra.nl/turboveg/</a>) to the nomenclature that can be used as an input for EUNIS-ESy. 1.3. &lt;strong&gt;EUNIS-ESy-User-Guide.pdf &lt;/strong&gt;contains a brief user guide to the classification of vegetation plots by EUNIS-ESy using the JUICE program. Please read this guide carefully before running the expert system to avoid misclassifications. &lt;strong&gt;2. Characterization of the EUNIS habitats based on the results of the EUNIS-ESy classification&lt;/strong&gt; 2.1. &lt;strong&gt;Habitat-Factsheets.pdf &lt;/strong&gt;contains a summary of data on EUNIS Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats. These data wer [...]</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="94036935"><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="94036935"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036935; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036935]").text(description); $(".js-view-count[data-work-id=94036935]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036935; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036935']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036935, 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" } } $('.js-work-strip[data-work-id=94036935]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036935,"title":"EUNIS-ESy: Expert system for automatic classification of European vegetation plots to EUNIS habitats","translated_title":"","metadata":{"abstract":"\u0026lt;strong\u0026gt;EUNIS-ESy\u0026lt;/strong\u0026gt; is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run in the JUICE program (Tichý 2002; https://www.sci.muni.cz/botany/juice/), TURBOVEG 3 program (Hennekens 2015) and an R script developed by H. Bruelheide et al. (submitted). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification. \u0026lt;strong\u0026gt;1. Expert system and related files necessary to run it\u0026lt;/strong\u0026gt; 1.1. \u0026lt;strong\u0026gt;EUNIS-ESy-2020-06-08.txt \u0026lt;/strong\u0026gt;is a file containing the script for classification of vegetation plots by EUNIS-ESy. This version contains tested definitions for the revised classification Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats, and preliminary non-tested definitions of the older classification of Marine, Aquatic and Inland sparsely vegetated habitats. 1.2. \u0026lt;strong\u0026gt;Nomenclature-translation-from-Turboveg-2-databases.zip \u0026lt;/strong\u0026gt;is an archive containing the scripts for automatic translation of taxon concepts and names used in individual European Turboveg 2 databases (Hennekens \u0026amp;amp; Schaminée 2001; https://www.synbiosys.alterra.nl/turboveg/) to the nomenclature that can be used as an input for EUNIS-ESy. 1.3. \u0026lt;strong\u0026gt;EUNIS-ESy-User-Guide.pdf \u0026lt;/strong\u0026gt;contains a brief user guide to the classification of vegetation plots by EUNIS-ESy using the JUICE program. Please read this guide carefully before running the expert system to avoid misclassifications. \u0026lt;strong\u0026gt;2. Characterization of the EUNIS habitats based on the results of the EUNIS-ESy classification\u0026lt;/strong\u0026gt; 2.1. \u0026lt;strong\u0026gt;Habitat-Factsheets.pdf \u0026lt;/strong\u0026gt;contains a summary of data on EUNIS Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats. These data wer [...]","publisher":"Zenodo","publication_date":{"day":8,"month":6,"year":2020,"errors":{}}},"translated_abstract":"\u0026lt;strong\u0026gt;EUNIS-ESy\u0026lt;/strong\u0026gt; is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run in the JUICE program (Tichý 2002; https://www.sci.muni.cz/botany/juice/), TURBOVEG 3 program (Hennekens 2015) and an R script developed by H. Bruelheide et al. (submitted). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification. \u0026lt;strong\u0026gt;1. Expert system and related files necessary to run it\u0026lt;/strong\u0026gt; 1.1. \u0026lt;strong\u0026gt;EUNIS-ESy-2020-06-08.txt \u0026lt;/strong\u0026gt;is a file containing the script for classification of vegetation plots by EUNIS-ESy. This version contains tested definitions for the revised classification Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats, and preliminary non-tested definitions of the older classification of Marine, Aquatic and Inland sparsely vegetated habitats. 1.2. \u0026lt;strong\u0026gt;Nomenclature-translation-from-Turboveg-2-databases.zip \u0026lt;/strong\u0026gt;is an archive containing the scripts for automatic translation of taxon concepts and names used in individual European Turboveg 2 databases (Hennekens \u0026amp;amp; Schaminée 2001; https://www.synbiosys.alterra.nl/turboveg/) to the nomenclature that can be used as an input for EUNIS-ESy. 1.3. \u0026lt;strong\u0026gt;EUNIS-ESy-User-Guide.pdf \u0026lt;/strong\u0026gt;contains a brief user guide to the classification of vegetation plots by EUNIS-ESy using the JUICE program. Please read this guide carefully before running the expert system to avoid misclassifications. \u0026lt;strong\u0026gt;2. Characterization of the EUNIS habitats based on the results of the EUNIS-ESy classification\u0026lt;/strong\u0026gt; 2.1. \u0026lt;strong\u0026gt;Habitat-Factsheets.pdf \u0026lt;/strong\u0026gt;contains a summary of data on EUNIS Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats. These data wer [...]","internal_url":"https://www.academia.edu/94036935/EUNIS_ESy_Expert_system_for_automatic_classification_of_European_vegetation_plots_to_EUNIS_habitats","translated_internal_url":"","created_at":"2022-12-31T01:08:57.963-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"EUNIS_ESy_Expert_system_for_automatic_classification_of_European_vegetation_plots_to_EUNIS_habitats","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":85707,"name":"Habitat","url":"https://www.academia.edu/Documents/in/Habitat"},{"id":581478,"name":"Vegetation Classification","url":"https://www.academia.edu/Documents/in/Vegetation_Classification"}],"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="94036933"><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/94036933/Phytosociology_and_taxonomic_notes_on_some_endemic_rich_associations_of_the_Naples_Gulf"><img alt="Research paper thumbnail of Phytosociology and taxonomic notes on some endemic-rich associations of the Naples Gulf" class="work-thumbnail" src="https://attachments.academia-assets.com/96608306/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/94036933/Phytosociology_and_taxonomic_notes_on_some_endemic_rich_associations_of_the_Naples_Gulf">Phytosociology and taxonomic notes on some endemic-rich associations of the Naples Gulf</a></div><div class="wp-workCard_item"><span>Hacquetia</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Gulf of Naples is an important centre of endemism, well known from the floristic point of vie...</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 Gulf of Naples is an important centre of endemism, well known from the floristic point of view, but much less from the phytosociological one. In this paper we investigated the non-forest vegetation focusing on communities rich in endemics. We described two communities as new: Eryngio amethystini-Santolinetum neapolitanae for the garrigues on limestone, Globulario neapolitanae-Loniceretum stabianae for the vegetation on dolomitic rocks, both from the Lattari mountains, and we extend the area of Crithmo maritimi-Limonietum cumani for the vegetation on volcanic rocks and rarely on limestones along the coast, which was known for a few localities. The syntaxonomical position and the phytogeographical context of these communities are discussed. A few taxonomic notes are added on rare or interesting species retrieved in the course of the enquiry.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="84d40268ced70a0a3c4902a355b8c9fb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96608306,"asset_id":94036933,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96608306/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&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="94036933"><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="94036933"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036933; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036933]").text(description); $(".js-view-count[data-work-id=94036933]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036933; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036933']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036933, 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: "84d40268ced70a0a3c4902a355b8c9fb" } } $('.js-work-strip[data-work-id=94036933]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036933,"title":"Phytosociology and taxonomic notes on some endemic-rich associations of the Naples Gulf","translated_title":"","metadata":{"abstract":"The Gulf of Naples is an important centre of endemism, well known from the floristic point of view, but much less from the phytosociological one. In this paper we investigated the non-forest vegetation focusing on communities rich in endemics. We described two communities as new: Eryngio amethystini-Santolinetum neapolitanae for the garrigues on limestone, Globulario neapolitanae-Loniceretum stabianae for the vegetation on dolomitic rocks, both from the Lattari mountains, and we extend the area of Crithmo maritimi-Limonietum cumani for the vegetation on volcanic rocks and rarely on limestones along the coast, which was known for a few localities. The syntaxonomical position and the phytogeographical context of these communities are discussed. A few taxonomic notes are added on rare or interesting species retrieved in the course of the enquiry.","publisher":"Walter de Gruyter GmbH","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Hacquetia"},"translated_abstract":"The Gulf of Naples is an important centre of endemism, well known from the floristic point of view, but much less from the phytosociological one. In this paper we investigated the non-forest vegetation focusing on communities rich in endemics. We described two communities as new: Eryngio amethystini-Santolinetum neapolitanae for the garrigues on limestone, Globulario neapolitanae-Loniceretum stabianae for the vegetation on dolomitic rocks, both from the Lattari mountains, and we extend the area of Crithmo maritimi-Limonietum cumani for the vegetation on volcanic rocks and rarely on limestones along the coast, which was known for a few localities. The syntaxonomical position and the phytogeographical context of these communities are discussed. 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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="94036931"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94036931/Ecological_Characterization_of_Syzygium_Myrtaceae_in_Papua_New_Guinea"><img alt="Research paper thumbnail of Ecological Characterization of Syzygium (Myrtaceae) in Papua New Guinea" 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" rel="nofollow" href="https://www.academia.edu/94036931/Ecological_Characterization_of_Syzygium_Myrtaceae_in_Papua_New_Guinea">Ecological Characterization of Syzygium (Myrtaceae) in Papua New Guinea</a></div><div class="wp-workCard_item"><span>Case Studies in the Environment</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Syzygium is the largest woody genus of flowering plants in the world and one of the most importan...</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">Syzygium is the largest woody genus of flowering plants in the world and one of the most important components of the forest vegetation in Papua New Guinea (PNG). Although the systematics of the genus is improving, a comprehensive appraisal of the environmental features and gradients of its species is still lacking. Our work aims to fill this gap by analyzing the georeferenced specimens collected at the Lae National Herbarium of PNG. A data set of 1,563 records of 131 species was used to assess their altitudinal gradients and the correspondence with the main vegetation types and to model their spatial ecological niche with respect to climatic, topographical, and pedological variables. Several species were found to be widely distributed throughout the region, while other species were restricted to narrow altitudinal belts or only occurred in specific vegetation types. 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Point occurrences for the entire species range were used to model their spatial distribution by Random Forest (RF) and Generalised Linear Model (GLM). For each species the suitability area (SA) was obtained by applying the 0% omission error criterion on the probability map, and compared or integrated with EOO and AOO area obtained by topological methods such as the minimum convex polygon (MCP), α-hull and 2x2 km grid. RF showed a lower prediction error than GLM. Higher accuracy was achieved for species with higher number of occurrences and narrower ecological niche. SA was always greater than AOO measured with the 2x2 km grid method. SA was greater than EOO, measured by both MCP and αhull methods, for species with localised distribution, while it was smaller for widely distributed species. EOO-α-hull area was equal or smaller than that calculated by MCP depending on the spatial distribution of species. 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Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942" 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/94036922/Supplementary_material_4_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942">Supplementary material 4 from: Fanelli G, Hoda P, Mersinllari M, Mahmutaj E, Attorre F, Farcomeni A, Cambria VE, De Sanctis M (2020) Phytosociological overview of the Fagus and Corylus forests in Albania. 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Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942" 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/94036921/Supplementary_material_3_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942">Supplementary material 3 from: Fanelli G, Hoda P, Mersinllari M, Mahmutaj E, Attorre F, Farcomeni A, Cambria VE, De Sanctis M (2020) Phytosociological overview of the Fagus and Corylus forests in Albania. 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Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942" 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/94036920/Figure_4_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942">Figure 4 from: Fanelli G, Hoda P, Mersinllari M, Mahmutaj E, Attorre F, Farcomeni A, Cambria VE, De Sanctis M (2020) Phytosociological overview of the Fagus and Corylus forests in Albania. Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942</a></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="94036920"><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="94036920"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036920; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036920]").text(description); $(".js-view-count[data-work-id=94036920]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036920; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036920']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036920, 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" } } $('.js-work-strip[data-work-id=94036920]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036920,"title":"Figure 4 from: Fanelli G, Hoda P, Mersinllari M, Mahmutaj E, Attorre F, Farcomeni A, Cambria VE, De Sanctis M (2020) Phytosociological overview of the Fagus and Corylus forests in Albania. Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942","translated_title":"","metadata":{"publisher":"Pensoft Publishers","publication_date":{"day":null,"month":null,"year":2020,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/94036920/Figure_4_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942","translated_internal_url":"","created_at":"2022-12-31T01:08:45.192-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Figure_4_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"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="94036919"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94036919/The_forest_communities_of_Shebenik_Jabllanic%C3%AB_National_Park_Central_Albania_"><img alt="Research paper thumbnail of The forest communities of Shebenik-Jabllanicë National Park (Central Albania)" 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" rel="nofollow" href="https://www.academia.edu/94036919/The_forest_communities_of_Shebenik_Jabllanic%C3%AB_National_Park_Central_Albania_">The forest communities of Shebenik-Jabllanicë National Park (Central Albania)</a></div><div class="wp-workCard_item"><span>Phytocoenologia</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Aims: Albania is one of the most diverse countries in Europe (over 4560 plant taxa in 28,748 km2)...</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">Aims: Albania is one of the most diverse countries in Europe (over 4560 plant taxa in 28,748 km2), but is still poorly known. We present here the phytosociological analysis of the forest communities of a mountain area in Central Albania. Study area: The Shebenik-Jabllanicë National Park (SJNP; 34,000 ha), located along the border with Macedonia. Methods: 84 relevés have been carried out in the years 2012-2013 and subsequently 63 of these relevés were selected and classified by the Ward’s minimum variance Clustering, using package cluster of R software, to identify the forest communities of the park. Their diagnostic species have been selected using the fidelity coefficient in Juice software and for the ecological interpretation of vegetation differentiation we performed a non-metric multidimensional scaling (NMDS) analysis, using the vegan package of R. Results: The main vegetation belts in an altitudinal gradient are Quercus cerris-Quercus frainetto woodlands, Carpinus orientalis secondary formations, and forest dominated respectively by Quercus petraea, Fagus sylvatica and Pinus peuce. The vegetation is strikingly diverse, with 9 well characterized forest communities well segregated according to the large altitudinal gradient and the diverse geology (limestone and alluvial vs ophiolite and flysch). Conclusion: The forests of SJNP are characterized by striking β-diversity in a small area. The forests are often heavily exploited at lower altitude and the road network recently developed is causing new pressures and threats. The old growth beech forest (UNESCO World heritage site), the Balkan Pinus peuce forests and the marginal population of Pinus heldreichii deserve a careful monitoring and protection.</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="94036919"><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="94036919"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036919; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036919]").text(description); $(".js-view-count[data-work-id=94036919]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036919; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036919']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036919, 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" } } $('.js-work-strip[data-work-id=94036919]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036919,"title":"The forest communities of Shebenik-Jabllanicë National Park (Central Albania)","translated_title":"","metadata":{"abstract":"Aims: Albania is one of the most diverse countries in Europe (over 4560 plant taxa in 28,748 km2), but is still poorly known. We present here the phytosociological analysis of the forest communities of a mountain area in Central Albania. Study area: The Shebenik-Jabllanicë National Park (SJNP; 34,000 ha), located along the border with Macedonia. Methods: 84 relevés have been carried out in the years 2012-2013 and subsequently 63 of these relevés were selected and classified by the Ward’s minimum variance Clustering, using package cluster of R software, to identify the forest communities of the park. Their diagnostic species have been selected using the fidelity coefficient in Juice software and for the ecological interpretation of vegetation differentiation we performed a non-metric multidimensional scaling (NMDS) analysis, using the vegan package of R. Results: The main vegetation belts in an altitudinal gradient are Quercus cerris-Quercus frainetto woodlands, Carpinus orientalis secondary formations, and forest dominated respectively by Quercus petraea, Fagus sylvatica and Pinus peuce. The vegetation is strikingly diverse, with 9 well characterized forest communities well segregated according to the large altitudinal gradient and the diverse geology (limestone and alluvial vs ophiolite and flysch). Conclusion: The forests of SJNP are characterized by striking β-diversity in a small area. The forests are often heavily exploited at lower altitude and the road network recently developed is causing new pressures and threats. The old growth beech forest (UNESCO World heritage site), the Balkan Pinus peuce forests and the marginal population of Pinus heldreichii deserve a careful monitoring and protection.","publisher":"Schweizerbart","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"Phytocoenologia"},"translated_abstract":"Aims: Albania is one of the most diverse countries in Europe (over 4560 plant taxa in 28,748 km2), but is still poorly known. We present here the phytosociological analysis of the forest communities of a mountain area in Central Albania. Study area: The Shebenik-Jabllanicë National Park (SJNP; 34,000 ha), located along the border with Macedonia. Methods: 84 relevés have been carried out in the years 2012-2013 and subsequently 63 of these relevés were selected and classified by the Ward’s minimum variance Clustering, using package cluster of R software, to identify the forest communities of the park. Their diagnostic species have been selected using the fidelity coefficient in Juice software and for the ecological interpretation of vegetation differentiation we performed a non-metric multidimensional scaling (NMDS) analysis, using the vegan package of R. Results: The main vegetation belts in an altitudinal gradient are Quercus cerris-Quercus frainetto woodlands, Carpinus orientalis secondary formations, and forest dominated respectively by Quercus petraea, Fagus sylvatica and Pinus peuce. The vegetation is strikingly diverse, with 9 well characterized forest communities well segregated according to the large altitudinal gradient and the diverse geology (limestone and alluvial vs ophiolite and flysch). Conclusion: The forests of SJNP are characterized by striking β-diversity in a small area. The forests are often heavily exploited at lower altitude and the road network recently developed is causing new pressures and threats. The old growth beech forest (UNESCO World heritage site), the Balkan Pinus peuce forests and the marginal population of Pinus heldreichii deserve a careful monitoring and protection.","internal_url":"https://www.academia.edu/94036919/The_forest_communities_of_Shebenik_Jabllanic%C3%AB_National_Park_Central_Albania_","translated_internal_url":"","created_at":"2022-12-31T01:08:44.287-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_forest_communities_of_Shebenik_Jabllanicë_National_Park_Central_Albania_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"attachments":[],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":1041,"name":"Forestry","url":"https://www.academia.edu/Documents/in/Forestry"},{"id":2512,"name":"Phytopathology","url":"https://www.academia.edu/Documents/in/Phytopathology"},{"id":5541,"name":"Plant Biology","url":"https://www.academia.edu/Documents/in/Plant_Biology"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":224636,"name":"Vegetation","url":"https://www.academia.edu/Documents/in/Vegetation"},{"id":284869,"name":"National Park","url":"https://www.academia.edu/Documents/in/National_Park"}],"urls":[]}, 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="833988" id="papers"><div class="js-work-strip profile--work_container" data-work-id="108073506"><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/108073506/An_updated_checklist_of_Mozambique_s_vascular_plants"><img alt="Research paper thumbnail of An updated checklist of Mozambique’s vascular plants" class="work-thumbnail" src="https://attachments.academia-assets.com/106555969/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/108073506/An_updated_checklist_of_Mozambique_s_vascular_plants">An updated checklist of Mozambique’s vascular plants</a></div><div class="wp-workCard_item"><span>PhytoKeys</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An updated checklist of Mozambique’s vascular plants is presented. It was compiled referring to s...</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">An updated checklist of Mozambique’s vascular plants is presented. It was compiled referring to several information sources such as existing literature, relevant online databases and herbaria collections. The checklist includes 7,099 taxa (5,957 species, 605 subspecies, 537 varieties), belonging to 226 families and 1,746 genera. There are 6,804 angiosperms, 257 pteridophytes, and 38 gymnosperms. A total of 6,171 taxa are native to Mozambique, while 602 are introduced and the remaining 326 taxa were considered as uncertain status. The endemism level for Mozambique’s flora was assessed at 9.59%, including 278 strict-endemic taxa and 403 near-endemic. 58.2% of taxa are herbaceous, while shrubs and trees account respectively for 26.5% and 9.2% of the taxa. The checklist also includes ferns (3.6%), lianas (1.7%), subshrubs (0.5%) and cycads (0.3%). Fabaceae, Poaceae and Asteraceae are the three most represented families, with 891, 543 and 428 taxa, respectively. The extinction risk of 1,...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="423d6cf5bcf6ed23ee51ba1cb9166618" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106555969,"asset_id":108073506,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106555969/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&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="108073506"><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="108073506"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 108073506; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=108073506]").text(description); $(".js-view-count[data-work-id=108073506]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 108073506; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='108073506']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 108073506, 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: "423d6cf5bcf6ed23ee51ba1cb9166618" } } $('.js-work-strip[data-work-id=108073506]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":108073506,"title":"An updated checklist of Mozambique’s vascular plants","translated_title":"","metadata":{"abstract":"An updated checklist of Mozambique’s vascular plants is presented. It was compiled referring to several information sources such as existing literature, relevant online databases and herbaria collections. The checklist includes 7,099 taxa (5,957 species, 605 subspecies, 537 varieties), belonging to 226 families and 1,746 genera. There are 6,804 angiosperms, 257 pteridophytes, and 38 gymnosperms. A total of 6,171 taxa are native to Mozambique, while 602 are introduced and the remaining 326 taxa were considered as uncertain status. The endemism level for Mozambique’s flora was assessed at 9.59%, including 278 strict-endemic taxa and 403 near-endemic. 58.2% of taxa are herbaceous, while shrubs and trees account respectively for 26.5% and 9.2% of the taxa. The checklist also includes ferns (3.6%), lianas (1.7%), subshrubs (0.5%) and cycads (0.3%). Fabaceae, Poaceae and Asteraceae are the three most represented families, with 891, 543 and 428 taxa, respectively. The extinction risk of 1,...","publisher":"Pensoft Publishers","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"PhytoKeys"},"translated_abstract":"An updated checklist of Mozambique’s vascular plants is presented. It was compiled referring to several information sources such as existing literature, relevant online databases and herbaria collections. The checklist includes 7,099 taxa (5,957 species, 605 subspecies, 537 varieties), belonging to 226 families and 1,746 genera. There are 6,804 angiosperms, 257 pteridophytes, and 38 gymnosperms. A total of 6,171 taxa are native to Mozambique, while 602 are introduced and the remaining 326 taxa were considered as uncertain status. The endemism level for Mozambique’s flora was assessed at 9.59%, including 278 strict-endemic taxa and 403 near-endemic. 58.2% of taxa are herbaceous, while shrubs and trees account respectively for 26.5% and 9.2% of the taxa. The checklist also includes ferns (3.6%), lianas (1.7%), subshrubs (0.5%) and cycads (0.3%). Fabaceae, Poaceae and Asteraceae are the three most represented families, with 891, 543 and 428 taxa, respectively. 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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="94036942"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94036942/An_ethnobotanical_survey_in_the_Limpopo_National_Park_Gaza_province_Mozambique_traditional_knowledge_related_to_plant_use"><img alt="Research paper thumbnail of An ethnobotanical survey in the Limpopo National Park, Gaza province, Mozambique: traditional knowledge related to plant use" 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" rel="nofollow" href="https://www.academia.edu/94036942/An_ethnobotanical_survey_in_the_Limpopo_National_Park_Gaza_province_Mozambique_traditional_knowledge_related_to_plant_use">An ethnobotanical survey in the Limpopo National Park, Gaza province, Mozambique: traditional knowledge related to plant use</a></div><div class="wp-workCard_item"><span>Rendiconti Lincei. Scienze Fisiche e Naturali</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study aims to document the Mozambican traditional knowledge related to the use of plants. An...</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">This study aims to document the Mozambican traditional knowledge related to the use of plants. An ethnobotanical survey was conducted in the Limpopo National Park (Gaza province, Mozambique). Data were gathered through field expeditions which involved interviews with five local healers, selected as key informants. 101 plant species, belonging to 49 families and 83 genera, related to traditional uses were recorded. For each species, vernacular name, use categories and used parts are reported. Most of the identified plants are used for medicinal purposes (94.1%) with an analogously extensive (44.1%) also directed to food use. Plants are also used for veterinary (14.7%), cosmetic (12.7%), and handicraft (12.7%) purposes. Whereas only few species are used as fuel (4.9%), several species (37.3%) are associated to local beliefs or mystical rituals. Roots are the most used part. To identify the most important plant species used by indigenous communities, an ethnobotanical value was calculated through Uses Totaled index. Based on such cultural index, the most valuable species are Euclea divinorum, Ximenia caffra, Elaeodendron schlechterianum and Peltophorum africanum. Our findings highlight the potential of Mozambique’s flora for future conservation and development research aimed at identifying genetic resources which could also open the way to notable commercial perspectives, including through the Access and Benefit Sharing process.</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="94036942"><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="94036942"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036942; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036942]").text(description); $(".js-view-count[data-work-id=94036942]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036942; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036942']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036942, 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" } } $('.js-work-strip[data-work-id=94036942]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036942,"title":"An ethnobotanical survey in the Limpopo National Park, Gaza province, Mozambique: traditional knowledge related to plant use","translated_title":"","metadata":{"abstract":"This study aims to document the Mozambican traditional knowledge related to the use of plants. An ethnobotanical survey was conducted in the Limpopo National Park (Gaza province, Mozambique). Data were gathered through field expeditions which involved interviews with five local healers, selected as key informants. 101 plant species, belonging to 49 families and 83 genera, related to traditional uses were recorded. For each species, vernacular name, use categories and used parts are reported. Most of the identified plants are used for medicinal purposes (94.1%) with an analogously extensive (44.1%) also directed to food use. Plants are also used for veterinary (14.7%), cosmetic (12.7%), and handicraft (12.7%) purposes. Whereas only few species are used as fuel (4.9%), several species (37.3%) are associated to local beliefs or mystical rituals. Roots are the most used part. To identify the most important plant species used by indigenous communities, an ethnobotanical value was calculated through Uses Totaled index. Based on such cultural index, the most valuable species are Euclea divinorum, Ximenia caffra, Elaeodendron schlechterianum and Peltophorum africanum. Our findings highlight the potential of Mozambique’s flora for future conservation and development research aimed at identifying genetic resources which could also open the way to notable commercial perspectives, including through the Access and Benefit Sharing process.","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Rendiconti Lincei. Scienze Fisiche e Naturali"},"translated_abstract":"This study aims to document the Mozambican traditional knowledge related to the use of plants. An ethnobotanical survey was conducted in the Limpopo National Park (Gaza province, Mozambique). Data were gathered through field expeditions which involved interviews with five local healers, selected as key informants. 101 plant species, belonging to 49 families and 83 genera, related to traditional uses were recorded. For each species, vernacular name, use categories and used parts are reported. Most of the identified plants are used for medicinal purposes (94.1%) with an analogously extensive (44.1%) also directed to food use. Plants are also used for veterinary (14.7%), cosmetic (12.7%), and handicraft (12.7%) purposes. Whereas only few species are used as fuel (4.9%), several species (37.3%) are associated to local beliefs or mystical rituals. Roots are the most used part. To identify the most important plant species used by indigenous communities, an ethnobotanical value was calculated through Uses Totaled index. Based on such cultural index, the most valuable species are Euclea divinorum, Ximenia caffra, Elaeodendron schlechterianum and Peltophorum africanum. Our findings highlight the potential of Mozambique’s flora for future conservation and development research aimed at identifying genetic resources which could also open the way to notable commercial perspectives, including through the Access and Benefit Sharing process.","internal_url":"https://www.academia.edu/94036942/An_ethnobotanical_survey_in_the_Limpopo_National_Park_Gaza_province_Mozambique_traditional_knowledge_related_to_plant_use","translated_internal_url":"","created_at":"2022-12-31T01:09:01.774-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"An_ethnobotanical_survey_in_the_Limpopo_National_Park_Gaza_province_Mozambique_traditional_knowledge_related_to_plant_use","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"attachments":[],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":1700,"name":"Ethnobotany","url":"https://www.academia.edu/Documents/in/Ethnobotany"},{"id":31239,"name":"Traditional Knowledge","url":"https://www.academia.edu/Documents/in/Traditional_Knowledge"},{"id":89496,"name":"Etnobotany","url":"https://www.academia.edu/Documents/in/Etnobotany"},{"id":170531,"name":"Botany and Etnobotany","url":"https://www.academia.edu/Documents/in/Botany_and_Etnobotany"},{"id":209475,"name":"Access and Benefit Sharing","url":"https://www.academia.edu/Documents/in/Access_and_Benefit_Sharing"},{"id":284869,"name":"National Park","url":"https://www.academia.edu/Documents/in/National_Park"},{"id":1218440,"name":"Indigenous","url":"https://www.academia.edu/Documents/in/Indigenous"}],"urls":[{"id":27600916,"url":"https://link.springer.com/content/pdf/10.1007/s12210-022-01063-y.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="94036940"><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/94036940/Community_led_peatland_restoration_in_Southeast_Asia_5Rs_approach"><img alt="Research paper thumbnail of Community‐led peatland restoration in Southeast Asia: 5Rs approach" class="work-thumbnail" src="https://attachments.academia-assets.com/96608329/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/94036940/Community_led_peatland_restoration_in_Southeast_Asia_5Rs_approach">Community‐led peatland restoration in Southeast Asia: 5Rs approach</a></div><div class="wp-workCard_item"><span>Restoration Ecology</span><span>, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="709cf0c14cff0f144c04989f9c88890b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96608329,"asset_id":94036940,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96608329/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&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="94036940"><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="94036940"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036940; 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Despite this, these ecosystems are among the least studied and monitored of the world, and are increasingly threatened by anthropogenic activities. Peatland degradation is responsible for the largest greenhouse gases (GHGs) emission source from the agriculture, forestry, and other land use (AFOLU) sectors in the region. Peatland restoration is a key mitigation and preventative intervention to halt the degradation of these ecosystems. In recent years, a small number of studies have aimed to define peatland restoration processes and approaches, the latest being the 4Rs approach-Rewetting, Reduction of fire, Revegetation, and Revitalization. The latter component being focused on the local communities benefits, in terms of promoting diversified sustainable livelihoods. Based on evidence of successful peatland restoration interventions in Southeast Asia, which we define as being \"community-led,\" we propose a 5Rs approach to peatland restoration instead, with community participation embedded in each component of the approach, beyond Revitalization, as well as in a fifth crosscutting component: Reporting and monitoring (R5). The new community-led 5Rs approach can support the ongoing formulation, refinement and implementation of peatland restoration strategies and activities in Southeast Asia and beyond by achieving ecological restoration goals, while obtaining local communities endorsement and support, needed for the long-term sustainability of the restoration interventions.","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Restoration Ecology","grobid_abstract_attachment_id":96608329},"translated_abstract":null,"internal_url":"https://www.academia.edu/94036940/Community_led_peatland_restoration_in_Southeast_Asia_5Rs_approach","translated_internal_url":"","created_at":"2022-12-31T01:09:00.855-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":96608329,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96608329/thumbnails/1.jpg","file_name":"Terzano_Community-led_peatland_2022.pdf","download_url":"https://www.academia.edu/attachments/96608329/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Community_led_peatland_restoration_in_So.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96608329/Terzano_Community-led_peatland_2022-libre.pdf?1672479376=\u0026response-content-disposition=attachment%3B+filename%3DCommunity_led_peatland_restoration_in_So.pdf\u0026Expires=1732799500\u0026Signature=TukItcua~vigYBcqQnLdc~hyTItemrbybEgcI1N672dQe3FG-71L0CLxfnxrmbEcCsFrZpy-bX4NqhA01z5zpryskO5cGhoXvpphTFoaWg7Ru-9wE3xyze8h5aHG3k7oidiXQTqZFF2nmuD96VTpWLiXZKWZm5UGyZ1gMu3gneZGhQySJ-XXWa2-5ncvl~oXFRzjso8LMF3DrBZVbUwjavhJrsHT6hEHXBLGZiNT1R6PhSGBgRBTZ6AYV7oZqcMDPjlNQn3dXxLAq87kMW4p3p71L8XxssLU0dG1EhEHCbrR0FeIgc0NPx5kocSRMDpg8-pUeeq2nB0mJZCHa2yarg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Community_led_peatland_restoration_in_Southeast_Asia_5Rs_approach","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"attachments":[{"id":96608329,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96608329/thumbnails/1.jpg","file_name":"Terzano_Community-led_peatland_2022.pdf","download_url":"https://www.academia.edu/attachments/96608329/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Community_led_peatland_restoration_in_So.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96608329/Terzano_Community-led_peatland_2022-libre.pdf?1672479376=\u0026response-content-disposition=attachment%3B+filename%3DCommunity_led_peatland_restoration_in_So.pdf\u0026Expires=1732799500\u0026Signature=TukItcua~vigYBcqQnLdc~hyTItemrbybEgcI1N672dQe3FG-71L0CLxfnxrmbEcCsFrZpy-bX4NqhA01z5zpryskO5cGhoXvpphTFoaWg7Ru-9wE3xyze8h5aHG3k7oidiXQTqZFF2nmuD96VTpWLiXZKWZm5UGyZ1gMu3gneZGhQySJ-XXWa2-5ncvl~oXFRzjso8LMF3DrBZVbUwjavhJrsHT6hEHXBLGZiNT1R6PhSGBgRBTZ6AYV7oZqcMDPjlNQn3dXxLAq87kMW4p3p71L8XxssLU0dG1EhEHCbrR0FeIgc0NPx5kocSRMDpg8-pUeeq2nB0mJZCHa2yarg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":5221,"name":"Restoration Ecology","url":"https://www.academia.edu/Documents/in/Restoration_Ecology"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":49648,"name":"Livelihood","url":"https://www.academia.edu/Documents/in/Livelihood"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":76581,"name":"Peat","url":"https://www.academia.edu/Documents/in/Peat"},{"id":399889,"name":"Land Degradation","url":"https://www.academia.edu/Documents/in/Land_Degradation"},{"id":454471,"name":"Revegetation","url":"https://www.academia.edu/Documents/in/Revegetation"},{"id":1208617,"name":"Sustainability","url":"https://www.academia.edu/Documents/in/Sustainability"}],"urls":[{"id":27600914,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/rec.13642"}]}, 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="94036936"><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/94036936/Dataset_for_estimation_of_the_biotic_and_climatic_niche_breadths_and_geographic_range_size_of_beech_Fagus_species_worldwide"><img alt="Research paper thumbnail of Dataset for estimation of the biotic and climatic niche breadths and geographic range size of beech (Fagus) species worldwide" 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/94036936/Dataset_for_estimation_of_the_biotic_and_climatic_niche_breadths_and_geographic_range_size_of_beech_Fagus_species_worldwide">Dataset for estimation of the biotic and climatic niche breadths and geographic range size of beech (Fagus) species worldwide</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This dataset could be used to test whether the commonly observed positive range size–niche breadt...</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">This dataset could be used to test whether the commonly observed positive range size–niche breadth relationship, as posited by the &quot;niche breadth hypothesis&quot;, exists for Fagus, one of the most dominant and widespread broad‐leaved deciduous tree genera in temperate forests of the Northern Hemisphere. There are many ways to estimate niche breadth. Here, we estimated biotic and climatic niche breadths per species using plot‐based co‐occurrence data and climate data, respectively. The range sizes of the Fagus species were estimated with the raw data from the Chorology Database Halle. We examined the relationships of these estimates, and found that neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Our findings proved that the &quot;niche breadth hypothesis&quot; did not apply to the genus Fagus, and thus more attention should be paid to other factors (e.g., high among‐region variation in ...</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="94036936"><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="94036936"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036936; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036936]").text(description); $(".js-view-count[data-work-id=94036936]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036936; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036936']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036936, 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" } } $('.js-work-strip[data-work-id=94036936]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036936,"title":"Dataset for estimation of the biotic and climatic niche breadths and geographic range size of beech (Fagus) species worldwide","translated_title":"","metadata":{"abstract":"This dataset could be used to test whether the commonly observed positive range size–niche breadth relationship, as posited by the \u0026quot;niche breadth hypothesis\u0026quot;, exists for Fagus, one of the most dominant and widespread broad‐leaved deciduous tree genera in temperate forests of the Northern Hemisphere. There are many ways to estimate niche breadth. Here, we estimated biotic and climatic niche breadths per species using plot‐based co‐occurrence data and climate data, respectively. The range sizes of the Fagus species were estimated with the raw data from the Chorology Database Halle. We examined the relationships of these estimates, and found that neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Our findings proved that the \u0026quot;niche breadth hypothesis\u0026quot; did not apply to the genus Fagus, and thus more attention should be paid to other factors (e.g., high among‐region variation in ...","publisher":"Dryad","publication_date":{"day":null,"month":null,"year":2021,"errors":{}}},"translated_abstract":"This dataset could be used to test whether the commonly observed positive range size–niche breadth relationship, as posited by the \u0026quot;niche breadth hypothesis\u0026quot;, exists for Fagus, one of the most dominant and widespread broad‐leaved deciduous tree genera in temperate forests of the Northern Hemisphere. There are many ways to estimate niche breadth. Here, we estimated biotic and climatic niche breadths per species using plot‐based co‐occurrence data and climate data, respectively. The range sizes of the Fagus species were estimated with the raw data from the Chorology Database Halle. We examined the relationships of these estimates, and found that neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Our findings proved that the \u0026quot;niche breadth hypothesis\u0026quot; did not apply to the genus Fagus, and thus more attention should be paid to other factors (e.g., high among‐region variation in ...","internal_url":"https://www.academia.edu/94036936/Dataset_for_estimation_of_the_biotic_and_climatic_niche_breadths_and_geographic_range_size_of_beech_Fagus_species_worldwide","translated_internal_url":"","created_at":"2022-12-31T01:08:59.676-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Dataset_for_estimation_of_the_biotic_and_climatic_niche_breadths_and_geographic_range_size_of_beech_Fagus_species_worldwide","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"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="94036935"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94036935/EUNIS_ESy_Expert_system_for_automatic_classification_of_European_vegetation_plots_to_EUNIS_habitats"><img alt="Research paper thumbnail of EUNIS-ESy: Expert system for automatic classification of European vegetation plots to EUNIS habitats" 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" rel="nofollow" href="https://www.academia.edu/94036935/EUNIS_ESy_Expert_system_for_automatic_classification_of_European_vegetation_plots_to_EUNIS_habitats">EUNIS-ESy: Expert system for automatic classification of European vegetation plots to EUNIS habitats</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">&lt;strong&gt;EUNIS-ESy&lt;/strong&gt; is an expert system for automatic classification of Europe...</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">&lt;strong&gt;EUNIS-ESy&lt;/strong&gt; is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run in the JUICE program (Tichý 2002; <a href="https://www.sci.muni.cz/botany/juice/" rel="nofollow">https://www.sci.muni.cz/botany/juice/</a>), TURBOVEG 3 program (Hennekens 2015) and an R script developed by H. Bruelheide et al. (submitted). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification. &lt;strong&gt;1. Expert system and related files necessary to run it&lt;/strong&gt; 1.1. &lt;strong&gt;EUNIS-ESy-2020-06-08.txt &lt;/strong&gt;is a file containing the script for classification of vegetation plots by EUNIS-ESy. This version contains tested definitions for the revised classification Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats, and preliminary non-tested definitions of the older classification of Marine, Aquatic and Inland sparsely vegetated habitats. 1.2. &lt;strong&gt;Nomenclature-translation-from-Turboveg-2-databases.zip &lt;/strong&gt;is an archive containing the scripts for automatic translation of taxon concepts and names used in individual European Turboveg 2 databases (Hennekens &amp;amp; Schaminée 2001; <a href="https://www.synbiosys.alterra.nl/turboveg/" rel="nofollow">https://www.synbiosys.alterra.nl/turboveg/</a>) to the nomenclature that can be used as an input for EUNIS-ESy. 1.3. &lt;strong&gt;EUNIS-ESy-User-Guide.pdf &lt;/strong&gt;contains a brief user guide to the classification of vegetation plots by EUNIS-ESy using the JUICE program. Please read this guide carefully before running the expert system to avoid misclassifications. &lt;strong&gt;2. Characterization of the EUNIS habitats based on the results of the EUNIS-ESy classification&lt;/strong&gt; 2.1. &lt;strong&gt;Habitat-Factsheets.pdf &lt;/strong&gt;contains a summary of data on EUNIS Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats. These data wer [...]</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="94036935"><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="94036935"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036935; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036935]").text(description); $(".js-view-count[data-work-id=94036935]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036935; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036935']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036935, 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" } } $('.js-work-strip[data-work-id=94036935]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036935,"title":"EUNIS-ESy: Expert system for automatic classification of European vegetation plots to EUNIS habitats","translated_title":"","metadata":{"abstract":"\u0026lt;strong\u0026gt;EUNIS-ESy\u0026lt;/strong\u0026gt; is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run in the JUICE program (Tichý 2002; https://www.sci.muni.cz/botany/juice/), TURBOVEG 3 program (Hennekens 2015) and an R script developed by H. Bruelheide et al. (submitted). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification. \u0026lt;strong\u0026gt;1. Expert system and related files necessary to run it\u0026lt;/strong\u0026gt; 1.1. \u0026lt;strong\u0026gt;EUNIS-ESy-2020-06-08.txt \u0026lt;/strong\u0026gt;is a file containing the script for classification of vegetation plots by EUNIS-ESy. This version contains tested definitions for the revised classification Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats, and preliminary non-tested definitions of the older classification of Marine, Aquatic and Inland sparsely vegetated habitats. 1.2. \u0026lt;strong\u0026gt;Nomenclature-translation-from-Turboveg-2-databases.zip \u0026lt;/strong\u0026gt;is an archive containing the scripts for automatic translation of taxon concepts and names used in individual European Turboveg 2 databases (Hennekens \u0026amp;amp; Schaminée 2001; https://www.synbiosys.alterra.nl/turboveg/) to the nomenclature that can be used as an input for EUNIS-ESy. 1.3. \u0026lt;strong\u0026gt;EUNIS-ESy-User-Guide.pdf \u0026lt;/strong\u0026gt;contains a brief user guide to the classification of vegetation plots by EUNIS-ESy using the JUICE program. Please read this guide carefully before running the expert system to avoid misclassifications. \u0026lt;strong\u0026gt;2. Characterization of the EUNIS habitats based on the results of the EUNIS-ESy classification\u0026lt;/strong\u0026gt; 2.1. \u0026lt;strong\u0026gt;Habitat-Factsheets.pdf \u0026lt;/strong\u0026gt;contains a summary of data on EUNIS Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats. These data wer [...]","publisher":"Zenodo","publication_date":{"day":8,"month":6,"year":2020,"errors":{}}},"translated_abstract":"\u0026lt;strong\u0026gt;EUNIS-ESy\u0026lt;/strong\u0026gt; is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run in the JUICE program (Tichý 2002; https://www.sci.muni.cz/botany/juice/), TURBOVEG 3 program (Hennekens 2015) and an R script developed by H. Bruelheide et al. (submitted). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification. \u0026lt;strong\u0026gt;1. Expert system and related files necessary to run it\u0026lt;/strong\u0026gt; 1.1. \u0026lt;strong\u0026gt;EUNIS-ESy-2020-06-08.txt \u0026lt;/strong\u0026gt;is a file containing the script for classification of vegetation plots by EUNIS-ESy. This version contains tested definitions for the revised classification Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats, and preliminary non-tested definitions of the older classification of Marine, Aquatic and Inland sparsely vegetated habitats. 1.2. \u0026lt;strong\u0026gt;Nomenclature-translation-from-Turboveg-2-databases.zip \u0026lt;/strong\u0026gt;is an archive containing the scripts for automatic translation of taxon concepts and names used in individual European Turboveg 2 databases (Hennekens \u0026amp;amp; Schaminée 2001; https://www.synbiosys.alterra.nl/turboveg/) to the nomenclature that can be used as an input for EUNIS-ESy. 1.3. \u0026lt;strong\u0026gt;EUNIS-ESy-User-Guide.pdf \u0026lt;/strong\u0026gt;contains a brief user guide to the classification of vegetation plots by EUNIS-ESy using the JUICE program. Please read this guide carefully before running the expert system to avoid misclassifications. \u0026lt;strong\u0026gt;2. Characterization of the EUNIS habitats based on the results of the EUNIS-ESy classification\u0026lt;/strong\u0026gt; 2.1. \u0026lt;strong\u0026gt;Habitat-Factsheets.pdf \u0026lt;/strong\u0026gt;contains a summary of data on EUNIS Coastal, Wetland, Grassland, Shrubland, Forest and Man-made habitats. These data wer [...]","internal_url":"https://www.academia.edu/94036935/EUNIS_ESy_Expert_system_for_automatic_classification_of_European_vegetation_plots_to_EUNIS_habitats","translated_internal_url":"","created_at":"2022-12-31T01:08:57.963-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"EUNIS_ESy_Expert_system_for_automatic_classification_of_European_vegetation_plots_to_EUNIS_habitats","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":85707,"name":"Habitat","url":"https://www.academia.edu/Documents/in/Habitat"},{"id":581478,"name":"Vegetation Classification","url":"https://www.academia.edu/Documents/in/Vegetation_Classification"}],"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="94036933"><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/94036933/Phytosociology_and_taxonomic_notes_on_some_endemic_rich_associations_of_the_Naples_Gulf"><img alt="Research paper thumbnail of Phytosociology and taxonomic notes on some endemic-rich associations of the Naples Gulf" class="work-thumbnail" src="https://attachments.academia-assets.com/96608306/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/94036933/Phytosociology_and_taxonomic_notes_on_some_endemic_rich_associations_of_the_Naples_Gulf">Phytosociology and taxonomic notes on some endemic-rich associations of the Naples Gulf</a></div><div class="wp-workCard_item"><span>Hacquetia</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Gulf of Naples is an important centre of endemism, well known from the floristic point of vie...</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 Gulf of Naples is an important centre of endemism, well known from the floristic point of view, but much less from the phytosociological one. In this paper we investigated the non-forest vegetation focusing on communities rich in endemics. We described two communities as new: Eryngio amethystini-Santolinetum neapolitanae for the garrigues on limestone, Globulario neapolitanae-Loniceretum stabianae for the vegetation on dolomitic rocks, both from the Lattari mountains, and we extend the area of Crithmo maritimi-Limonietum cumani for the vegetation on volcanic rocks and rarely on limestones along the coast, which was known for a few localities. The syntaxonomical position and the phytogeographical context of these communities are discussed. A few taxonomic notes are added on rare or interesting species retrieved in the course of the enquiry.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="84d40268ced70a0a3c4902a355b8c9fb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96608306,"asset_id":94036933,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96608306/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&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="94036933"><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="94036933"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036933; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036933]").text(description); $(".js-view-count[data-work-id=94036933]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036933; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036933']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036933, 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: "84d40268ced70a0a3c4902a355b8c9fb" } } $('.js-work-strip[data-work-id=94036933]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036933,"title":"Phytosociology and taxonomic notes on some endemic-rich associations of the Naples Gulf","translated_title":"","metadata":{"abstract":"The Gulf of Naples is an important centre of endemism, well known from the floristic point of view, but much less from the phytosociological one. In this paper we investigated the non-forest vegetation focusing on communities rich in endemics. We described two communities as new: Eryngio amethystini-Santolinetum neapolitanae for the garrigues on limestone, Globulario neapolitanae-Loniceretum stabianae for the vegetation on dolomitic rocks, both from the Lattari mountains, and we extend the area of Crithmo maritimi-Limonietum cumani for the vegetation on volcanic rocks and rarely on limestones along the coast, which was known for a few localities. The syntaxonomical position and the phytogeographical context of these communities are discussed. A few taxonomic notes are added on rare or interesting species retrieved in the course of the enquiry.","publisher":"Walter de Gruyter GmbH","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Hacquetia"},"translated_abstract":"The Gulf of Naples is an important centre of endemism, well known from the floristic point of view, but much less from the phytosociological one. In this paper we investigated the non-forest vegetation focusing on communities rich in endemics. We described two communities as new: Eryngio amethystini-Santolinetum neapolitanae for the garrigues on limestone, Globulario neapolitanae-Loniceretum stabianae for the vegetation on dolomitic rocks, both from the Lattari mountains, and we extend the area of Crithmo maritimi-Limonietum cumani for the vegetation on volcanic rocks and rarely on limestones along the coast, which was known for a few localities. The syntaxonomical position and the phytogeographical context of these communities are discussed. 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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="94036931"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94036931/Ecological_Characterization_of_Syzygium_Myrtaceae_in_Papua_New_Guinea"><img alt="Research paper thumbnail of Ecological Characterization of Syzygium (Myrtaceae) in Papua New Guinea" 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" rel="nofollow" href="https://www.academia.edu/94036931/Ecological_Characterization_of_Syzygium_Myrtaceae_in_Papua_New_Guinea">Ecological Characterization of Syzygium (Myrtaceae) in Papua New Guinea</a></div><div class="wp-workCard_item"><span>Case Studies in the Environment</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Syzygium is the largest woody genus of flowering plants in the world and one of the most importan...</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">Syzygium is the largest woody genus of flowering plants in the world and one of the most important components of the forest vegetation in Papua New Guinea (PNG). Although the systematics of the genus is improving, a comprehensive appraisal of the environmental features and gradients of its species is still lacking. Our work aims to fill this gap by analyzing the georeferenced specimens collected at the Lae National Herbarium of PNG. A data set of 1,563 records of 131 species was used to assess their altitudinal gradients and the correspondence with the main vegetation types and to model their spatial ecological niche with respect to climatic, topographical, and pedological variables. Several species were found to be widely distributed throughout the region, while other species were restricted to narrow altitudinal belts or only occurred in specific vegetation types. 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Point occurrences for the entire species range were used to model their spatial distribution by Random Forest (RF) and Generalised Linear Model (GLM). For each species the suitability area (SA) was obtained by applying the 0% omission error criterion on the probability map, and compared or integrated with EOO and AOO area obtained by topological methods such as the minimum convex polygon (MCP), α-hull and 2x2 km grid. RF showed a lower prediction error than GLM. Higher accuracy was achieved for species with higher number of occurrences and narrower ecological niche. SA was always greater than AOO measured with the 2x2 km grid method. SA was greater than EOO, measured by both MCP and αhull methods, for species with localised distribution, while it was smaller for widely distributed species. EOO-α-hull area was equal or smaller than that calculated by MCP depending on the spatial distribution of species. 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Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942" 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/94036922/Supplementary_material_4_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942">Supplementary material 4 from: Fanelli G, Hoda P, Mersinllari M, Mahmutaj E, Attorre F, Farcomeni A, Cambria VE, De Sanctis M (2020) Phytosociological overview of the Fagus and Corylus forests in Albania. 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Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942" 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/94036921/Supplementary_material_3_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942">Supplementary material 3 from: Fanelli G, Hoda P, Mersinllari M, Mahmutaj E, Attorre F, Farcomeni A, Cambria VE, De Sanctis M (2020) Phytosociological overview of the Fagus and Corylus forests in Albania. 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Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942" 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/94036920/Figure_4_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942">Figure 4 from: Fanelli G, Hoda P, Mersinllari M, Mahmutaj E, Attorre F, Farcomeni A, Cambria VE, De Sanctis M (2020) Phytosociological overview of the Fagus and Corylus forests in Albania. Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942</a></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="94036920"><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="94036920"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036920; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036920]").text(description); $(".js-view-count[data-work-id=94036920]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036920; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036920']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036920, 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" } } $('.js-work-strip[data-work-id=94036920]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036920,"title":"Figure 4 from: Fanelli G, Hoda P, Mersinllari M, Mahmutaj E, Attorre F, Farcomeni A, Cambria VE, De Sanctis M (2020) Phytosociological overview of the Fagus and Corylus forests in Albania. Vegetation Classification and Survey 1: 175-189. https://doi.org/10.3897/VCS/2020/54942","translated_title":"","metadata":{"publisher":"Pensoft Publishers","publication_date":{"day":null,"month":null,"year":2020,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/94036920/Figure_4_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942","translated_internal_url":"","created_at":"2022-12-31T01:08:45.192-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Figure_4_from_Fanelli_G_Hoda_P_Mersinllari_M_Mahmutaj_E_Attorre_F_Farcomeni_A_Cambria_VE_De_Sanctis_M_2020_Phytosociological_overview_of_the_Fagus_and_Corylus_forests_in_Albania_Vegetation_Classification_and_Survey_1_175_189_https_doi_org_10_3897_VCS_2020_54942","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"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="94036919"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/94036919/The_forest_communities_of_Shebenik_Jabllanic%C3%AB_National_Park_Central_Albania_"><img alt="Research paper thumbnail of The forest communities of Shebenik-Jabllanicë National Park (Central Albania)" 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" rel="nofollow" href="https://www.academia.edu/94036919/The_forest_communities_of_Shebenik_Jabllanic%C3%AB_National_Park_Central_Albania_">The forest communities of Shebenik-Jabllanicë National Park (Central Albania)</a></div><div class="wp-workCard_item"><span>Phytocoenologia</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Aims: Albania is one of the most diverse countries in Europe (over 4560 plant taxa in 28,748 km2)...</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">Aims: Albania is one of the most diverse countries in Europe (over 4560 plant taxa in 28,748 km2), but is still poorly known. We present here the phytosociological analysis of the forest communities of a mountain area in Central Albania. Study area: The Shebenik-Jabllanicë National Park (SJNP; 34,000 ha), located along the border with Macedonia. Methods: 84 relevés have been carried out in the years 2012-2013 and subsequently 63 of these relevés were selected and classified by the Ward’s minimum variance Clustering, using package cluster of R software, to identify the forest communities of the park. Their diagnostic species have been selected using the fidelity coefficient in Juice software and for the ecological interpretation of vegetation differentiation we performed a non-metric multidimensional scaling (NMDS) analysis, using the vegan package of R. Results: The main vegetation belts in an altitudinal gradient are Quercus cerris-Quercus frainetto woodlands, Carpinus orientalis secondary formations, and forest dominated respectively by Quercus petraea, Fagus sylvatica and Pinus peuce. The vegetation is strikingly diverse, with 9 well characterized forest communities well segregated according to the large altitudinal gradient and the diverse geology (limestone and alluvial vs ophiolite and flysch). Conclusion: The forests of SJNP are characterized by striking β-diversity in a small area. The forests are often heavily exploited at lower altitude and the road network recently developed is causing new pressures and threats. The old growth beech forest (UNESCO World heritage site), the Balkan Pinus peuce forests and the marginal population of Pinus heldreichii deserve a careful monitoring and protection.</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="94036919"><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="94036919"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94036919; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94036919]").text(description); $(".js-view-count[data-work-id=94036919]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94036919; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94036919']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 94036919, 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" } } $('.js-work-strip[data-work-id=94036919]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94036919,"title":"The forest communities of Shebenik-Jabllanicë National Park (Central Albania)","translated_title":"","metadata":{"abstract":"Aims: Albania is one of the most diverse countries in Europe (over 4560 plant taxa in 28,748 km2), but is still poorly known. We present here the phytosociological analysis of the forest communities of a mountain area in Central Albania. Study area: The Shebenik-Jabllanicë National Park (SJNP; 34,000 ha), located along the border with Macedonia. Methods: 84 relevés have been carried out in the years 2012-2013 and subsequently 63 of these relevés were selected and classified by the Ward’s minimum variance Clustering, using package cluster of R software, to identify the forest communities of the park. Their diagnostic species have been selected using the fidelity coefficient in Juice software and for the ecological interpretation of vegetation differentiation we performed a non-metric multidimensional scaling (NMDS) analysis, using the vegan package of R. Results: The main vegetation belts in an altitudinal gradient are Quercus cerris-Quercus frainetto woodlands, Carpinus orientalis secondary formations, and forest dominated respectively by Quercus petraea, Fagus sylvatica and Pinus peuce. The vegetation is strikingly diverse, with 9 well characterized forest communities well segregated according to the large altitudinal gradient and the diverse geology (limestone and alluvial vs ophiolite and flysch). Conclusion: The forests of SJNP are characterized by striking β-diversity in a small area. The forests are often heavily exploited at lower altitude and the road network recently developed is causing new pressures and threats. The old growth beech forest (UNESCO World heritage site), the Balkan Pinus peuce forests and the marginal population of Pinus heldreichii deserve a careful monitoring and protection.","publisher":"Schweizerbart","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"Phytocoenologia"},"translated_abstract":"Aims: Albania is one of the most diverse countries in Europe (over 4560 plant taxa in 28,748 km2), but is still poorly known. We present here the phytosociological analysis of the forest communities of a mountain area in Central Albania. Study area: The Shebenik-Jabllanicë National Park (SJNP; 34,000 ha), located along the border with Macedonia. Methods: 84 relevés have been carried out in the years 2012-2013 and subsequently 63 of these relevés were selected and classified by the Ward’s minimum variance Clustering, using package cluster of R software, to identify the forest communities of the park. Their diagnostic species have been selected using the fidelity coefficient in Juice software and for the ecological interpretation of vegetation differentiation we performed a non-metric multidimensional scaling (NMDS) analysis, using the vegan package of R. Results: The main vegetation belts in an altitudinal gradient are Quercus cerris-Quercus frainetto woodlands, Carpinus orientalis secondary formations, and forest dominated respectively by Quercus petraea, Fagus sylvatica and Pinus peuce. The vegetation is strikingly diverse, with 9 well characterized forest communities well segregated according to the large altitudinal gradient and the diverse geology (limestone and alluvial vs ophiolite and flysch). Conclusion: The forests of SJNP are characterized by striking β-diversity in a small area. The forests are often heavily exploited at lower altitude and the road network recently developed is causing new pressures and threats. The old growth beech forest (UNESCO World heritage site), the Balkan Pinus peuce forests and the marginal population of Pinus heldreichii deserve a careful monitoring and protection.","internal_url":"https://www.academia.edu/94036919/The_forest_communities_of_Shebenik_Jabllanic%C3%AB_National_Park_Central_Albania_","translated_internal_url":"","created_at":"2022-12-31T01:08:44.287-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6297735,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"The_forest_communities_of_Shebenik_Jabllanicë_National_Park_Central_Albania_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6297735,"first_name":"Fabio","middle_initials":null,"last_name":"Attorre","page_name":"FabioAttorre","domain_name":"uniroma1","created_at":"2013-10-22T02:55:09.130-07:00","display_name":"Fabio Attorre","url":"https://uniroma1.academia.edu/FabioAttorre"},"attachments":[],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":1041,"name":"Forestry","url":"https://www.academia.edu/Documents/in/Forestry"},{"id":2512,"name":"Phytopathology","url":"https://www.academia.edu/Documents/in/Phytopathology"},{"id":5541,"name":"Plant Biology","url":"https://www.academia.edu/Documents/in/Plant_Biology"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":224636,"name":"Vegetation","url":"https://www.academia.edu/Documents/in/Vegetation"},{"id":284869,"name":"National Park","url":"https://www.academia.edu/Documents/in/National_Park"}],"urls":[]}, 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="5555628" id="books"><div class="js-work-strip profile--work_container" data-work-id="30809934"><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/30809934/Manuale_per_il_monitoraggio_di_specie_ed_habitat_di_interese_comunitario"><img alt="Research paper thumbnail of Manuale per il monitoraggio di specie ed habitat di interese comunitario" class="work-thumbnail" src="https://attachments.academia-assets.com/51243151/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/30809934/Manuale_per_il_monitoraggio_di_specie_ed_habitat_di_interese_comunitario">Manuale per il monitoraggio di specie ed habitat di interese comunitario</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The Habitat Directive requires Member States to implement surveillance of the conservation status...</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 Habitat Directive requires Member States to implement surveillance of the conservation status of habitats and species of Community Interest. The aim of this handbook is to outline the methodological instruments for the implementation of a monitoring program of the Italian habitat types, as required by art. 17 of the Habitats Directive, with particular regard to the data collection at site level. The European guidelines (Evans & Arvela, 2011. Assessment and reporting under Article 17 of the Habitats Directive - Explanatory Notes & Guidelines for the period 2007-2012 -Final Draft. European Topic Centre on Biological Diversity, p. 1-123) require the assessments to be carried out by compiling information on specific parameters and at biogeographical scale. Each parameter is considered separately, eventually combining all parameters in an evaluation matrix thus providing the overall assessment. For each habitat type several parameters have to be considered: “Area”, “Range”, “Structure and Functions”, “Future Prospects”. While “Range” and “Future prospects” need to be assessed only at the biogeographical scale, “Area” and “Structure and functions” can be assessed aggregating data collected at the site level; in this handbook, for each habitat of community interest present in Italy, we present monitoring forms for these two parameters. Altogheter, the handbook contains 124 forms, referring to 10 Coastal and Halophytic Habitats; 11 Coastal Sand Dunes and Continental Dunes, 15 Freshwater Habitats, 5 Temperate Heath and Scrub, 11 Sclerophyllous Scrub (matorral), 15 Natural and Semi-natural Grassland Formations, 8 Raised Bogs and Mires and Fens, 10 Rocky Habitats and Caves, 39 Forests. Each monitoring form has been produced with the support of leading national experts and sent to regional authorities for a review. The monitoring forms report the most effective available monitoring techniques for collecting the required parameters and variables, and define operational guidance for data collection.  The monitoring forms describe priority variables (e.g. vegetation-plot based analysis) that need to be collected for complying with the Habitat Directive, and also indicate some optional or habitatspecific variables (e.g. substrate condition, water quality, etc.). The activities and methods suggested in this Manual are aimed at enabling the Regions and Autonomous Provinces to implement monitoring activities based on the collection of harmonized data by means of standardized technical protocols. A standardized basis of information is indeed essential for producing comparable data and generating reliable assessments on the conservation status of each habitat type at national level. Some important elements, such as the Favourable Reference Values and optimal thresholds for some of the parameters, are still under discussion at the European level and therefore will need to be further clarified in the near future</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="69b827b66f28540086a030fbac3bcd11" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":51243151,"asset_id":30809934,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/51243151/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&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="30809934"><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="30809934"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 30809934; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=30809934]").text(description); $(".js-view-count[data-work-id=30809934]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 30809934; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='30809934']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 30809934, 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: "69b827b66f28540086a030fbac3bcd11" } } $('.js-work-strip[data-work-id=30809934]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":30809934,"title":"Manuale per il monitoraggio di specie ed habitat di interese comunitario","translated_title":"","metadata":{"abstract":"The Habitat Directive requires Member States to implement surveillance of the conservation status of habitats and species of Community Interest. The aim of this handbook is to outline the methodological instruments for the implementation of a monitoring program of the Italian habitat types, as required by art. 17 of the Habitats Directive, with particular regard to the data collection at site level. The European guidelines (Evans \u0026 Arvela, 2011. Assessment and reporting under Article 17 of the Habitats Directive - Explanatory Notes \u0026 Guidelines for the period 2007-2012 -Final Draft. European Topic Centre on Biological Diversity, p. 1-123) require the assessments to be carried out by compiling information on specific parameters and at biogeographical scale. Each parameter is considered separately, eventually combining all parameters in an evaluation matrix thus providing the overall assessment. For each habitat type several parameters have to be considered: “Area”, “Range”, “Structure and Functions”, “Future Prospects”. While “Range” and “Future prospects” need to be assessed only at the biogeographical scale, “Area” and “Structure and functions” can be assessed aggregating data collected at the site level; in this handbook, for each habitat of community interest present in Italy, we present monitoring forms for these two parameters. Altogheter, the handbook contains 124 forms, referring to 10 Coastal and Halophytic Habitats; 11 Coastal Sand Dunes and Continental Dunes, 15 Freshwater Habitats, 5 Temperate Heath and Scrub, 11 Sclerophyllous Scrub (matorral), 15 Natural and Semi-natural Grassland Formations, 8 Raised Bogs and Mires and Fens, 10 Rocky Habitats and Caves, 39 Forests. Each monitoring form has been produced with the support of leading national experts and sent to regional authorities for a review. The monitoring forms report the most effective available monitoring techniques for collecting the required parameters and variables, and define operational guidance for data collection. The monitoring forms describe priority variables (e.g. vegetation-plot based analysis) that need to be collected for complying with the Habitat Directive, and also indicate some optional or habitatspecific variables (e.g. substrate condition, water quality, etc.). The activities and methods suggested in this Manual are aimed at enabling the Regions and Autonomous Provinces to implement monitoring activities based on the collection of harmonized data by means of standardized technical protocols. A standardized basis of information is indeed essential for producing comparable data and generating reliable assessments on the conservation status of each habitat type at national level. Some important elements, such as the Favourable Reference Values and optimal thresholds for some of the parameters, are still under discussion at the European level and therefore will need to be further clarified in the near future"},"translated_abstract":"The Habitat Directive requires Member States to implement surveillance of the conservation status of habitats and species of Community Interest. The aim of this handbook is to outline the methodological instruments for the implementation of a monitoring program of the Italian habitat types, as required by art. 17 of the Habitats Directive, with particular regard to the data collection at site level. The European guidelines (Evans \u0026 Arvela, 2011. Assessment and reporting under Article 17 of the Habitats Directive - Explanatory Notes \u0026 Guidelines for the period 2007-2012 -Final Draft. European Topic Centre on Biological Diversity, p. 1-123) require the assessments to be carried out by compiling information on specific parameters and at biogeographical scale. Each parameter is considered separately, eventually combining all parameters in an evaluation matrix thus providing the overall assessment. For each habitat type several parameters have to be considered: “Area”, “Range”, “Structure and Functions”, “Future Prospects”. While “Range” and “Future prospects” need to be assessed only at the biogeographical scale, “Area” and “Structure and functions” can be assessed aggregating data collected at the site level; in this handbook, for each habitat of community interest present in Italy, we present monitoring forms for these two parameters. Altogheter, the handbook contains 124 forms, referring to 10 Coastal and Halophytic Habitats; 11 Coastal Sand Dunes and Continental Dunes, 15 Freshwater Habitats, 5 Temperate Heath and Scrub, 11 Sclerophyllous Scrub (matorral), 15 Natural and Semi-natural Grassland Formations, 8 Raised Bogs and Mires and Fens, 10 Rocky Habitats and Caves, 39 Forests. Each monitoring form has been produced with the support of leading national experts and sent to regional authorities for a review. The monitoring forms report the most effective available monitoring techniques for collecting the required parameters and variables, and define operational guidance for data collection. The monitoring forms describe priority variables (e.g. vegetation-plot based analysis) that need to be collected for complying with the Habitat Directive, and also indicate some optional or habitatspecific variables (e.g. substrate condition, water quality, etc.). The activities and methods suggested in this Manual are aimed at enabling the Regions and Autonomous Provinces to implement monitoring activities based on the collection of harmonized data by means of standardized technical protocols. A standardized basis of information is indeed essential for producing comparable data and generating reliable assessments on the conservation status of each habitat type at national level. 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Terrestrial and freshwater habitats Ecological Indicator Values of Europe (EIVE) View project SECOSUD II - Conservation and equitable use of biological diversity in the SADC region View project" class="work-thumbnail" src="https://attachments.academia-assets.com/51243011/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/30809751/European_Red_List_of_Habitats_Part_2_Terrestrial_and_freshwater_habitats_Ecological_Indicator_Values_of_Europe_EIVE_View_project_SECOSUD_II_Conservation_and_equitable_use_of_biological_diversity_in_the_SADC_region_View_project">European Red List of Habitats - Part 2. Terrestrial and freshwater habitats Ecological Indicator Values of Europe (EIVE) View project SECOSUD II - Conservation and equitable use of biological diversity in the SADC region View project</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://uniroma1.academia.edu/FabioAttorre">Fabio Attorre</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ehu.academia.edu/IdoiaBiurrun">Idoia Biurrun</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The European Red List of Habitats provides an overview of the risk of collapse (degree of endang...</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 European Red List of Habitats provides an overview of the  risk of collapse (degree of endangerment) of marine, terrestrial and freshwater habitats in the European Union (EU28) and adjacent regions (EU28+), based on a consistent set of criteria and categories and detailed data and expertise from involved countries1. Amongst terrestrial and freshwater habitats the highest percentage of threatened types (categories Critically Endangered, Endangered, Vulnerable) was found amongst mires and bogs (85% in the EU28, 54% in the EU28+), followed by grasslands (53%, 49%), freshwater habitats (46%, 38%) and coastal habitats (45%, 43%). Relatively low percentages of heathland and scrub, forests, and sparsely vegetated habitats were assessed to be threatened. Overall the <br />amount of threatened habitats was higher in the EU28 (36%) than in the wider range of the EU28+ (31%). The European Red List of Habitats provides extensive additional information on habitat classification and definition, pressures and threats, conservation and restorability of habitats, distribution, status and trends in individual countries, and sub-habitats that may possibly be threatened. The information provided can inform and support European nature and biodiversity policy in a variety of ways, particularly in relation to the EU2020 Biodiversity Strategy targets. Further applications include the revitalisation of the EUNIS habitat classification, synergies with the Mapping and Assessment of Ecosystems and their Services initiative, and the improvement of Red List methodologies.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="252ff7fb3d9aabf6469bae8e9db6465b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":51243011,"asset_id":30809751,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/51243011/download_file?st=MTczMjgxNjQyMSw4LjIyMi4yMDguMTQ2&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="30809751"><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="30809751"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 30809751; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=30809751]").text(description); $(".js-view-count[data-work-id=30809751]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 30809751; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='30809751']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 30809751, 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: "252ff7fb3d9aabf6469bae8e9db6465b" } } $('.js-work-strip[data-work-id=30809751]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":30809751,"title":"European Red List of Habitats - Part 2. 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No individual country reported<br />data to the Assessment, and no official country information has been used. 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Some methodological...</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">A historical overview of the phytosociological method in Europe is presented. Some methodological and procedural differences in the application of the Braun-Blanquet approach, from the selection of the sampling plots to the assignment of relevés to existing or newly described units, are briefly compared. 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