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href="https://www.academia.edu/57124078/Shape_matters_cell_geometry_determines_phytoplankton_diversity"><img alt="Research paper thumbnail of Shape matters: cell geometry determines phytoplankton diversity" class="work-thumbnail" src="https://attachments.academia-assets.com/72173996/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/57124078/Shape_matters_cell_geometry_determines_phytoplankton_diversity">Shape matters: cell geometry determines phytoplankton diversity</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Organisms’ size and shape have a profound influence on ecophysiological performance and evolution...</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">Organisms’ size and shape have a profound influence on ecophysiological performance and evolutionary fitness, suggesting a link between morphology and diversity. While unimodal relationships between size and species richness were found for many taxa(1–4), much less is known on how richness is related to shape, in particular in the microbial realm. Here we analyse a novel globally extensive data set of marine unicellular phytoplankton, the major group of photosynthetic microbes, which exhibit an astounding diversity of cell sizes and shapes(5). We quantify the variation in size and shape and explore their effects on taxonomic diversity(6, 7). We find that cells of intermediate volume exhibit the greatest shape variation, with shapes ranging from oblate to extremely elongated forms, while very small and large cells are mostly compact (e.g., spherical or cubic). We show that cell shape has a strong effect on phytoplankton diversity, comparable in magnitude to the effect of cell volume,...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="456dc5c5a1fc3f20ca74afd4c41450a4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":72173996,"asset_id":57124078,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/72173996/download_file?st=MTczMzE2OTY3Niw4LjIyMi4yMDguMTQ2&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="57124078"><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="57124078"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 57124078; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=57124078]").text(description); $(".js-view-count[data-work-id=57124078]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 57124078; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='57124078']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 57124078, 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: "456dc5c5a1fc3f20ca74afd4c41450a4" } } $('.js-work-strip[data-work-id=57124078]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":57124078,"title":"Shape matters: cell geometry determines phytoplankton diversity","translated_title":"","metadata":{"abstract":"Organisms’ size and shape have a profound influence on ecophysiological performance and evolutionary fitness, suggesting a link between morphology and diversity. 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Search for Adas Gelzinis Search for Antanas Verikas Search for Marija Ba...</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">... top of page AUTHORS. Search for Adas Gelzinis Search for Antanas Verikas Search for Marija Bacauskiene Search for Irina Olenina Search for Sergej Olenin. ... 3. Culverhouse, PF, Williams, R., Reguera, B., Herry, V., Gonzalez-Gil, S.: Do experts make mistakes? ...</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="50625963"><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="50625963"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50625963; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50625963]").text(description); $(".js-view-count[data-work-id=50625963]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50625963; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50625963']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50625963, 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" } } $('.js-work-strip[data-work-id=50625963]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50625963,"title":"Categorizing cells in phytoplankton images","translated_title":"","metadata":{"abstract":"... top of page AUTHORS. Search for Adas Gelzinis Search for Antanas Verikas Search for Marija Bacauskiene Search for Irina Olenina Search for Sergej Olenin. ... 3. Culverhouse, PF, Williams, R., Reguera, B., Herry, V., Gonzalez-Gil, S.: Do experts make mistakes? ...","publication_date":{"day":23,"month":8,"year":2011,"errors":{}},"publication_name":"Proceedings of the 11th Wseas International Conference on Signal Processing Computational Geometry and Artificial Vision and Proceedings of the 11th Wseas International Conference on Systems Theory and Scientific Computation"},"translated_abstract":"... top of page AUTHORS. Search for Adas Gelzinis Search for Antanas Verikas Search for Marija Bacauskiene Search for Irina Olenina Search for Sergej Olenin. ... 3. 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Over a 2-year period, we measured microcystin concentrations in water, sediment and biota (fish and shellfish) at both sites. Across both food webs we found highest levels of microcystin among consumers of suspended particulate matter, including planktivorous fishes and filter-feeding shellfish, and lower levels of toxin among piscivores, scavengers and benthic omnivores. Despite similar levels of microcystin in the water column at the two sites, we observed higher toxin levels in fish and sediments of the Curonian Lagoon. We attribute this difference to the legacy of prior toxic cyanobacteria blooms in the Curonian Lagoon and hydrologic factors that result in a predominance of autochthonously-derived organic matter in the sediments at this site. Our results suggest that a consideration of species-specific differences in feeding habits, and organic matter sources supporting food webs are important to understanding the accumulation and persistence of algal toxins in food webs and should therefore be considered in assessment of risks to aquatic biota and human health.","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Estuarine, Coastal and Shelf Science","grobid_abstract_attachment_id":68537637},"translated_abstract":null,"internal_url":"https://www.academia.edu/50625623/Microcystin_in_aquatic_food_webs_of_the_Baltic_and_Chesapeake_Bay_regions","translated_internal_url":"","created_at":"2021-08-03T02:38:08.421-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":24852721,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":68537637,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68537637/thumbnails/1.jpg","file_name":"S0272771417300938.pdf","download_url":"https://www.academia.edu/attachments/68537637/download_file?st=MTczMzE2OTY3Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Microcystin_in_aquatic_food_webs_of_the.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68537637/S0272771417300938-libre.pdf?1627984371=\u0026response-content-disposition=attachment%3B+filename%3DMicrocystin_in_aquatic_food_webs_of_the.pdf\u0026Expires=1733173276\u0026Signature=Oz3R2HOdnePGcz4XffvO2RnaN6IUl-7uI3dRVsfZP5Twqka895cYtJUnZoc1w3D5e8DYzCMQlzi~WggLXtwgn1D-z1Xu4hERlzM7EkmTnhxsutcqAPa5Dt1f8ur70C~hPktMaH-GlCtKkBi495JVNJ4BiPTV59723P4pvTyBNbnlfeXtWcz3mWH4bGFGyKvPzOpWi1~lui-GLcLjojYdSK0did7NuPaCIYBlqx0TC-sG822RD81bvRjL2ZmlrfqZg~X4Jj5qX~3CejYcXhSCT6Q0uufW1PAXO08TC0NihEfuxeOANZbza3pP6PQIOB9Fm45ISCW0RdgMxBSpi-VSGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Microcystin_in_aquatic_food_webs_of_the_Baltic_and_Chesapeake_Bay_regions","translated_slug":"","page_count":29,"language":"en","content_type":"Work","owner":{"id":24852721,"first_name":"Irina","middle_initials":null,"last_name":"Olenina","page_name":"IrinaOlenina","domain_name":"independent","created_at":"2015-01-15T01:19:51.680-08:00","display_name":"Irina Olenina","url":"https://independent.academia.edu/IrinaOlenina"},"attachments":[{"id":68537637,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/68537637/thumbnails/1.jpg","file_name":"S0272771417300938.pdf","download_url":"https://www.academia.edu/attachments/68537637/download_file?st=MTczMzE2OTY3Niw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Microcystin_in_aquatic_food_webs_of_the.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/68537637/S0272771417300938-libre.pdf?1627984371=\u0026response-content-disposition=attachment%3B+filename%3DMicrocystin_in_aquatic_food_webs_of_the.pdf\u0026Expires=1733173276\u0026Signature=Oz3R2HOdnePGcz4XffvO2RnaN6IUl-7uI3dRVsfZP5Twqka895cYtJUnZoc1w3D5e8DYzCMQlzi~WggLXtwgn1D-z1Xu4hERlzM7EkmTnhxsutcqAPa5Dt1f8ur70C~hPktMaH-GlCtKkBi495JVNJ4BiPTV59723P4pvTyBNbnlfeXtWcz3mWH4bGFGyKvPzOpWi1~lui-GLcLjojYdSK0did7NuPaCIYBlqx0TC-sG822RD81bvRjL2ZmlrfqZg~X4Jj5qX~3CejYcXhSCT6Q0uufW1PAXO08TC0NihEfuxeOANZbza3pP6PQIOB9Fm45ISCW0RdgMxBSpi-VSGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"}],"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="47901537"><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/47901537/Trophic_Status_of_the_South_Eastern_Baltic_Sea_A_Comparison_of_Coastal_and_Open_Areas"><img alt="Research paper thumbnail of Trophic Status of the South-Eastern Baltic Sea: A Comparison of Coastal and Open Areas" class="work-thumbnail" src="https://attachments.academia-assets.com/66790725/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/47901537/Trophic_Status_of_the_South_Eastern_Baltic_Sea_A_Comparison_of_Coastal_and_Open_Areas">Trophic Status of the South-Eastern Baltic Sea: A Comparison of Coastal and Open Areas</a></div><div class="wp-workCard_item"><span>Estuarine, Coastal and Shelf Science</span><span>, 2001</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fee9fc261b7728bd7c53bef53a43ea5c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":66790725,"asset_id":47901537,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/66790725/download_file?st=MTczMzE2OTY3Niw4LjIyMi4yMDguMTQ2&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="47901537"><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="47901537"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 47901537; 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Earlier basin-wide primary production estimates for the Baltic Sea, a shallow shelf sea, were based mainly on open-sea data, neglecting the fundamentally different conditions in the large river plumes, which might have substantially higher production. Mean values of the period 1993-1997 of nutrient concentrations (phosphate, nitrate, ammonium and silicate), phytoplankton biomass, chlorophyll a (chl a) concentration, turbidity and primary production were calculated in the plumes of the rivers Oder, Vistula and Daugava and Klaipeda Strait as well as the open waters of the Arkona Sea, Bornholm Sea, eastern Gotland Sea and the Gulf of Riga. In the plumes, these values, except for primary production, were significantly higher than in the open waters. N:P ratios in the plumes were \u003e16 (with some exceptions in summer and autumn), indicating potential P-limitation of phytoplankton growth, whereas they were \u003c16 in the open Baltic Proper, indicating potential N-limitation. On the basis of in situ phytoplankton primary production, phytoplankton biomass and nutrient concentrations, the large river plumes and the Gulf of Riga could be characterized as eutrophic and the outer parts of the coastal waters and the open sea as mesotrophic. Using salinity to define the border of the plumes, their mean extension was calculated by means of a circulation model. Taking into account the contribution of coastal waters, the primary production in the Baltic Proper and the Gulf of Riga was 42·6 and 4·3 10 6 t C yr 1 , respectively. Hence, an annual phytoplankton primary production in the whole Baltic Sea was estimated at 62 10 6 t C yr 1 . The separate consideration of the plumes had only a minor effect on the estimation of total primary production in comparison with an estimate based on open sea data only. There is evidence for a doubling of primary production in the last two decades. Moreover, a replacement of diatoms by dinoflagellates during the spring bloom was noticed in the open sea but not in the coastal waters. A scheme for trophic classification of the Baltic Sea, based on phytoplankton primary production and biomass, chl a and nutrient concentrations, is proposed.","publication_date":{"day":null,"month":null,"year":2001,"errors":{}},"publication_name":"Estuarine, Coastal and Shelf 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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/46855459/Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008"><img alt="Research paper thumbnail of Changes in phytoplankton communities along a north–south gradient in the Baltic sea between 1990 and 2008" 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/46855459/Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008">Changes in phytoplankton communities along a north–south gradient in the Baltic sea between 1990 and 2008</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quan...</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">Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quantitative long-term data. We investigated changes in biomass of summer (June– September) phytoplankton over the last two decades (1990–2008) along a north–south gradient in the Baltic Sea. The areas were characterized by different temperature, salinity and nutrient conditions. Thirty taxonomic groups were selected for the statistical analysis. Increases in total phytoplankton, particularly cyanobacterial, biomass were observed in the Gulfs of Bothnia and Finland. In these two areas over the study period cyanobacteria also became abundant earlier in the season, and in the Curonian Lagoon Planktothrix agardhii replaced Aphanizomenon flos-aquae as the most abundant cyanobacterium. In general, water temperature was the most influential factor affecting the summer phytoplankton communities. Our data suggest that temperature increases resulting from climate change are likely to cause basin-spec...</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="46855459"><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="46855459"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46855459; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46855459]").text(description); $(".js-view-count[data-work-id=46855459]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46855459; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='46855459']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 46855459, 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" } } $('.js-work-strip[data-work-id=46855459]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":46855459,"title":"Changes in phytoplankton communities along a north–south gradient in the Baltic sea between 1990 and 2008","translated_title":"","metadata":{"abstract":"Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quantitative long-term data. We investigated changes in biomass of summer (June– September) phytoplankton over the last two decades (1990–2008) along a north–south gradient in the Baltic Sea. The areas were characterized by different temperature, salinity and nutrient conditions. Thirty taxonomic groups were selected for the statistical analysis. Increases in total phytoplankton, particularly cyanobacterial, biomass were observed in the Gulfs of Bothnia and Finland. In these two areas over the study period cyanobacteria also became abundant earlier in the season, and in the Curonian Lagoon Planktothrix agardhii replaced Aphanizomenon flos-aquae as the most abundant cyanobacterium. In general, water temperature was the most influential factor affecting the summer phytoplankton communities. Our data suggest that temperature increases resulting from climate change are likely to cause basin-spec..."},"translated_abstract":"Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quantitative long-term data. We investigated changes in biomass of summer (June– September) phytoplankton over the last two decades (1990–2008) along a north–south gradient in the Baltic Sea. The areas were characterized by different temperature, salinity and nutrient conditions. Thirty taxonomic groups were selected for the statistical analysis. Increases in total phytoplankton, particularly cyanobacterial, biomass were observed in the Gulfs of Bothnia and Finland. In these two areas over the study period cyanobacteria also became abundant earlier in the season, and in the Curonian Lagoon Planktothrix agardhii replaced Aphanizomenon flos-aquae as the most abundant cyanobacterium. In general, water temperature was the most influential factor affecting the summer phytoplankton communities. Our data suggest that temperature increases resulting from climate change are likely to cause basin-spec...","internal_url":"https://www.academia.edu/46855459/Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008","translated_internal_url":"","created_at":"2021-04-14T04:37:52.926-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":24852721,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":24852721,"first_name":"Irina","middle_initials":null,"last_name":"Olenina","page_name":"IrinaOlenina","domain_name":"independent","created_at":"2015-01-15T01:19:51.680-08:00","display_name":"Irina Olenina","url":"https://independent.academia.edu/IrinaOlenina"},"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="13174082"><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/13174082/Seasonality_of_coastal_phytoplankton_in_the_Baltic_Sea_Influence_of_salinity_and_eutrophication"><img alt="Research paper thumbnail of Seasonality of coastal phytoplankton in the Baltic Sea: Influence of salinity and eutrophication" class="work-thumbnail" src="https://attachments.academia-assets.com/45615108/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/13174082/Seasonality_of_coastal_phytoplankton_in_the_Baltic_Sea_Influence_of_salinity_and_eutrophication">Seasonality of coastal phytoplankton in the Baltic Sea: Influence of salinity and eutrophication</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://independent.academia.edu/AsHeiskanen">A.-s. Heiskanen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PKauppila">P. Kauppila</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/NWasmund">N. Wasmund</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/HenriksenP">Peter Henriksen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/IrinaOlenina">Irina Olenina</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/ZitaGasiunaite">Zita Gasiūnaitė</a></span></div><div class="wp-workCard_item"><span>Estuarine, Coastal and Shelf Science</span><span>, 2005</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f6fb6977f30d84a3cf9eedc7a926745b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45615108,"asset_id":13174082,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45615108/download_file?st=MTczMzE2OTY3Nyw4LjIyMi4yMDguMTQ2&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="13174082"><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="13174082"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13174082; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13174082]").text(description); $(".js-view-count[data-work-id=13174082]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13174082; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13174082']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 13174082, 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: "f6fb6977f30d84a3cf9eedc7a926745b" } } $('.js-work-strip[data-work-id=13174082]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13174082,"title":"Seasonality of coastal phytoplankton in the Baltic Sea: Influence of salinity and eutrophication","translated_title":"","metadata":{"grobid_abstract":"In this study long-term (1984e2001) phytoplankton and physico-chemical monitoring data representing different salinity regimes of the Baltic Sea were compiled from HELCOM, national and regional databases. The aim was to define seasonal succession patterns of phytoplankton in seven different areas of the Baltic sea, characterised by different salinity, climate, and trophic conditions and to delineate a set of phytoplankton community indicators that are independent of season and salinity, but indicative of trophic status of different coastal areas. The cluster analysis of the combined data set resulted in eight phytoplankton community types, common for all locations, and characterised by different taxonomic composition representing different stages of seasonal succession. A hierarchy of explanatory variables that best predicted the communities, dominated by either diatoms, cyanophytes, cryptophytes or dinoflagellates, was revealed through a redundancy analysis (RDA). Nutrients were not found to be significant factors shaping the common phytoplankton community types for all locations. RDA analysis at the location level, covering all seasonal succession stages, confirmed phytoplankton community composition to be sensitive to nutrient concentrations. Even with the limitations of utilizing databases from different sources we identified community types that were indicative of climatic conditions (particularly temperature), salinity and eutrophication. The dominance of cyanobacteria as such, would not be an appropriate indicator of trophic conditions in the Baltic Sea, in the areas where cyanobacteria blooms occur naturally. The structure of both diatom-and cyanophyte-dominated communities is governed by salinity, and thus the abundances of these groups cannot be directly used as an indicator across the whole Baltic Sea.","publication_date":{"day":null,"month":null,"year":2005,"errors":{}},"publication_name":"Estuarine, Coastal and Shelf Science","grobid_abstract_attachment_id":45615108},"translated_abstract":null,"internal_url":"https://www.academia.edu/13174082/Seasonality_of_coastal_phytoplankton_in_the_Baltic_Sea_Influence_of_salinity_and_eutrophication","translated_internal_url":"","created_at":"2015-06-22T06:54:20.532-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32429082,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":1352445,"work_id":13174082,"tagging_user_id":32429082,"tagged_user_id":32521040,"co_author_invite_id":432264,"email":"a***n@ymparisto.fi","display_order":-5991862,"name":"A.-s. 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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/22970995/Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008">Changes in phytoplankton communities along a north–south gradient in the Baltic sea between 1990 and 2008</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://independent.academia.edu/IrinaOlenina">Irina Olenina</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AndresJaanus">Andres Jaanus</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AgnetaAndersson1">Agneta Andersson</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quan...</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">Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quantitative long-term data. We investigated changes in biomass of summer (June– September) phytoplankton over the last two decades (1990–2008) along a north–south gradient in the Baltic Sea. The areas were characterized by different temperature, salinity and nutrient conditions. Thirty taxonomic groups were selected for the statistical analysis. Increases in total phytoplankton, particularly cyanobacterial, biomass were observed in the Gulfs of Bothnia and Finland. In these two areas over the study period cyanobacteria also became abundant earlier in the season, and in the Curonian Lagoon Planktothrix agardhii replaced Aphanizomenon flos-aquae as the most abundant cyanobacterium. In general, water temperature was the most influential factor affecting the summer phytoplankton communities. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="22970993"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/22970993/Species_composition_of_the_Kursiu_marios_Lagoon_and_the_south_eastern_Baltic_coastal_phytoplankton"><img alt="Research paper thumbnail of Species composition of the Kursiu marios Lagoon and the south-eastern Baltic coastal phytoplankton" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/22970993/Species_composition_of_the_Kursiu_marios_Lagoon_and_the_south_eastern_Baltic_coastal_phytoplankton">Species composition of the Kursiu marios Lagoon and the south-eastern Baltic coastal phytoplankton</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Botanica Lithuanica, vol. 2, nr. 3, 259-300</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="22970993"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="22970993"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22970993; 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This study is concerned with precise contour detection for objects representing the Prorocentrum minimum species in phytoplankton images. The framework requires a single object with the ground truth contour as a prototype to perform detection of the contour for the remaining objects. The level set method is chosen as a segmentation algorithm and its parameters are tuned by differential evolution. The fitness function is based on the distance between pixels near contour in the prototype image and pixels near detected contour in the target image. Pixels “of interest correspond to several concentric bands of various width in outer and inner areas, relative to the contour. Usefulness of the introduced approach was demonstrated by comparing it to the basic level set and advanced Weka segmentation techniques. 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href="https://www.academia.edu/22970990/Environmental_Problems_of_the_South_Eastern_Baltic_Coast_and_the_Curonian_Lagoon"><img alt="Research paper thumbnail of Environmental Problems of the South-Eastern Baltic Coast and the Curonian Lagoon" 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/22970990/Environmental_Problems_of_the_South_Eastern_Baltic_Coast_and_the_Curonian_Lagoon">Environmental Problems of the South-Eastern Baltic Coast and the Curonian Lagoon</a></div><div class="wp-workCard_item"><span>Baltic Coastal Ecosystems</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Environmental problems of the south-eastern Baltic are quite common for the rest of the ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Environmental problems of the south-eastern Baltic are quite common for the rest of the Baltic Sea. The threat of oil spills increases with the increase in volume of oil transportation. The number of alien invasive species is growing, as is their impact on ...</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="22970990"><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="22970990"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22970990; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22970990]").text(description); $(".js-view-count[data-work-id=22970990]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22970990; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='22970990']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 22970990, 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" } } $('.js-work-strip[data-work-id=22970990]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":22970990,"title":"Environmental Problems of the South-Eastern Baltic Coast and the Curonian Lagoon","translated_title":"","metadata":{"abstract":"Abstract Environmental problems of the south-eastern Baltic are quite common for the rest of the Baltic Sea. 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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="22970989"><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/22970989/Boosting_performance_of_the_edge_based_active_contour_model_applied_to_phytoplankton_images"><img alt="Research paper thumbnail of Boosting performance of the edge-based active contour model applied to phytoplankton images" class="work-thumbnail" src="https://attachments.academia-assets.com/43493262/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/22970989/Boosting_performance_of_the_edge_based_active_contour_model_applied_to_phytoplankton_images">Boosting performance of the edge-based active contour model applied to phytoplankton images</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://independent.academia.edu/IrinaOlenina">Irina Olenina</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RicardasPaskauskas">Ricardas Paskauskas</a></span></div><div class="wp-workCard_item"><span>2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI)</span><span>, 2012</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4def1360afc5d26f12b7ac9de99e74bb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43493262,"asset_id":22970989,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43493262/download_file?st=MTczMzE2OTY3OSw4LjIyMi4yMDguMTQ2&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="22970989"><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="22970989"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22970989; 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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/22970988/Validation_of_MERIS_chlorophyll_a_products_in_the_Lithuanian_Baltic_Sea_case_2_coastal_waters">Validation of MERIS chlorophyll a products in the Lithuanian Baltic Sea case 2 coastal waters</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://independent.academia.edu/IrinaOlenina">Irina Olenina</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DianaVai%C4%8Di%C5%ABt%C4%97">Diana Vaičiūtė</a></span></div><div class="wp-workCard_item"><span>2010 IEEE/OES Baltic International Symposium (BALTIC)</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The national water quality monitoring in the Lithuanian Baltic Sea waters has started fi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The national water quality monitoring in the Lithuanian Baltic Sea waters has started fifty years ago. Consistently implemented long-term monitoring programs are critical for detecting changes in water environment in frame of rapidly changing climate and increasing anthropogenic activity on coastal waters. Nevertheless, conventional sampling methods cannot produce enough data about spatial and temporal distribution of phytoplankton blooms, outflow hypertrophic waters of the Curonian Lagoon in the Sea. Satellite based remote sensing provides critical ecological information on global, regional and local scales. However, before the direct use of satellite products for the monitoring and scientific applications, Earth observation data should be validated with in situ measurements for the particular research area. In this study, we performed for the firs time the validation of in situ and satellite chlorophyll a data over turbid Lithuanian Baltic Sea coastal waters within spring, summer and autumn in presence of different phytoplankton communities. The analysis was based on the data of the national Lithuanian monitoring in the Baltic Sea during 2001-2007. For the estimation of photosynthetic pigments the spectrophotometric method was used (HELCOM, 1988), using GF/F filters and extraction into 96% ethanol. In parallel integrated phytoplankton samples were preserved with acetic Lugol&amp;#39;s solution. Treatment of samples was done using the inverted microscope technique with accordance to standard HELCOM methodology. Since correlation between surface and integrated chlorophyll a concentrations was high (r=0.9, p</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="22970988"><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="22970988"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22970988; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22970988]").text(description); $(".js-view-count[data-work-id=22970988]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22970988; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='22970988']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 22970988, 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" } } $('.js-work-strip[data-work-id=22970988]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":22970988,"title":"Validation of MERIS chlorophyll a products in the Lithuanian Baltic Sea case 2 coastal waters","translated_title":"","metadata":{"abstract":"ABSTRACT The national water quality monitoring in the Lithuanian Baltic Sea waters has started fifty years ago. Consistently implemented long-term monitoring programs are critical for detecting changes in water environment in frame of rapidly changing climate and increasing anthropogenic activity on coastal waters. Nevertheless, conventional sampling methods cannot produce enough data about spatial and temporal distribution of phytoplankton blooms, outflow hypertrophic waters of the Curonian Lagoon in the Sea. Satellite based remote sensing provides critical ecological information on global, regional and local scales. However, before the direct use of satellite products for the monitoring and scientific applications, Earth observation data should be validated with in situ measurements for the particular research area. In this study, we performed for the firs time the validation of in situ and satellite chlorophyll a data over turbid Lithuanian Baltic Sea coastal waters within spring, summer and autumn in presence of different phytoplankton communities. The analysis was based on the data of the national Lithuanian monitoring in the Baltic Sea during 2001-2007. For the estimation of photosynthetic pigments the spectrophotometric method was used (HELCOM, 1988), using GF/F filters and extraction into 96% ethanol. In parallel integrated phytoplankton samples were preserved with acetic Lugol\u0026amp;#39;s solution. Treatment of samples was done using the inverted microscope technique with accordance to standard HELCOM methodology. Since correlation between surface and integrated chlorophyll a concentrations was high (r=0.9, p","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 IEEE/OES Baltic International Symposium (BALTIC)"},"translated_abstract":"ABSTRACT The national water quality monitoring in the Lithuanian Baltic Sea waters has started fifty years ago. Consistently implemented long-term monitoring programs are critical for detecting changes in water environment in frame of rapidly changing climate and increasing anthropogenic activity on coastal waters. Nevertheless, conventional sampling methods cannot produce enough data about spatial and temporal distribution of phytoplankton blooms, outflow hypertrophic waters of the Curonian Lagoon in the Sea. Satellite based remote sensing provides critical ecological information on global, regional and local scales. However, before the direct use of satellite products for the monitoring and scientific applications, Earth observation data should be validated with in situ measurements for the particular research area. In this study, we performed for the firs time the validation of in situ and satellite chlorophyll a data over turbid Lithuanian Baltic Sea coastal waters within spring, summer and autumn in presence of different phytoplankton communities. The analysis was based on the data of the national Lithuanian monitoring in the Baltic Sea during 2001-2007. For the estimation of photosynthetic pigments the spectrophotometric method was used (HELCOM, 1988), using GF/F filters and extraction into 96% ethanol. In parallel integrated phytoplankton samples were preserved with acetic Lugol\u0026amp;#39;s solution. Treatment of samples was done using the inverted microscope technique with accordance to standard HELCOM methodology. 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While unimodal relationships between size and species richness were found for many taxa(1–4), much less is known on how richness is related to shape, in particular in the microbial realm. Here we analyse a novel globally extensive data set of marine unicellular phytoplankton, the major group of photosynthetic microbes, which exhibit an astounding diversity of cell sizes and shapes(5). We quantify the variation in size and shape and explore their effects on taxonomic diversity(6, 7). We find that cells of intermediate volume exhibit the greatest shape variation, with shapes ranging from oblate to extremely elongated forms, while very small and large cells are mostly compact (e.g., spherical or cubic). We show that cell shape has a strong effect on phytoplankton diversity, comparable in magnitude to the effect of cell volume,...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="456dc5c5a1fc3f20ca74afd4c41450a4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":72173996,"asset_id":57124078,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/72173996/download_file?st=MTczMzE2OTY3OSw4LjIyMi4yMDguMTQ2&st=MTczMzE2OTY3Niw4LjIyMi4yMDguMTQ2&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="57124078"><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="57124078"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 57124078; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=57124078]").text(description); $(".js-view-count[data-work-id=57124078]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 57124078; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='57124078']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 57124078, 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: "456dc5c5a1fc3f20ca74afd4c41450a4" } } $('.js-work-strip[data-work-id=57124078]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":57124078,"title":"Shape matters: cell geometry determines phytoplankton diversity","translated_title":"","metadata":{"abstract":"Organisms’ size and shape have a profound influence on ecophysiological performance and evolutionary fitness, suggesting a link between morphology and diversity. 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We show that cell shape has a strong effect on phytoplankton diversity, comparable in magnitude to the effect of cell volume,...","publisher":"Cold Spring Harbor Laboratory","ai_title_tag":"Cell Shape Influences Phytoplankton Diversity in Marine Ecosystems"},"translated_abstract":"Organisms’ size and shape have a profound influence on ecophysiological performance and evolutionary fitness, suggesting a link between morphology and diversity. While unimodal relationships between size and species richness were found for many taxa(1–4), much less is known on how richness is related to shape, in particular in the microbial realm. Here we analyse a novel globally extensive data set of marine unicellular phytoplankton, the major group of photosynthetic microbes, which exhibit an astounding diversity of cell sizes and shapes(5). We quantify the variation in size and shape and explore their effects on taxonomic diversity(6, 7). We find that cells of intermediate volume exhibit the greatest shape variation, with shapes ranging from oblate to extremely elongated forms, while very small and large cells are mostly compact (e.g., spherical or cubic). 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Search for Adas Gelzinis Search for Antanas Verikas Search for Marija Ba...</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">... top of page AUTHORS. Search for Adas Gelzinis Search for Antanas Verikas Search for Marija Bacauskiene Search for Irina Olenina Search for Sergej Olenin. ... 3. Culverhouse, PF, Williams, R., Reguera, B., Herry, V., Gonzalez-Gil, S.: Do experts make mistakes? ...</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="50625963"><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="50625963"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 50625963; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=50625963]").text(description); $(".js-view-count[data-work-id=50625963]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 50625963; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='50625963']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 50625963, 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" } } $('.js-work-strip[data-work-id=50625963]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":50625963,"title":"Categorizing cells in phytoplankton images","translated_title":"","metadata":{"abstract":"... top of page AUTHORS. Search for Adas Gelzinis Search for Antanas Verikas Search for Marija Bacauskiene Search for Irina Olenina Search for Sergej Olenin. ... 3. Culverhouse, PF, Williams, R., Reguera, B., Herry, V., Gonzalez-Gil, S.: Do experts make mistakes? ...","publication_date":{"day":23,"month":8,"year":2011,"errors":{}},"publication_name":"Proceedings of the 11th Wseas International Conference on Signal Processing Computational Geometry and Artificial Vision and Proceedings of the 11th Wseas International Conference on Systems Theory and Scientific Computation"},"translated_abstract":"... top of page AUTHORS. Search for Adas Gelzinis Search for Antanas Verikas Search for Marija Bacauskiene Search for Irina Olenina Search for Sergej Olenin. ... 3. Culverhouse, PF, Williams, R., Reguera, B., Herry, V., Gonzalez-Gil, S.: Do experts make mistakes? ...","internal_url":"https://www.academia.edu/50625963/Categorizing_cells_in_phytoplankton_images","translated_internal_url":"","created_at":"2021-08-03T02:43:57.403-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":24852721,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Categorizing_cells_in_phytoplankton_images","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":24852721,"first_name":"Irina","middle_initials":null,"last_name":"Olenina","page_name":"IrinaOlenina","domain_name":"independent","created_at":"2015-01-15T01:19:51.680-08:00","display_name":"Irina Olenina","url":"https://independent.academia.edu/IrinaOlenina"},"attachments":[],"research_interests":[{"id":154378,"name":"Stochastic Optimization","url":"https://www.academia.edu/Documents/in/Stochastic_Optimization"},{"id":170056,"name":"Random Forests","url":"https://www.academia.edu/Documents/in/Random_Forests"},{"id":315668,"name":"Svm","url":"https://www.academia.edu/Documents/in/Svm"}],"urls":[{"id":10656977,"url":"http://dl.acm.org/citation.cfm?id=2042894"}]}, dispatcherData: dispatcherData }); 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Over a 2-year period, we measured microcystin concentrations in water, sediment and biota (fish and shellfish) at both sites. Across both food webs we found highest levels of microcystin among consumers of suspended particulate matter, including planktivorous fishes and filter-feeding shellfish, and lower levels of toxin among piscivores, scavengers and benthic omnivores. Despite similar levels of microcystin in the water column at the two sites, we observed higher toxin levels in fish and sediments of the Curonian Lagoon. We attribute this difference to the legacy of prior toxic cyanobacteria blooms in the Curonian Lagoon and hydrologic factors that result in a predominance of autochthonously-derived organic matter in the sediments at this site. 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Earlier basin-wide primary production estimates for the Baltic Sea, a shallow shelf sea, were based mainly on open-sea data, neglecting the fundamentally different conditions in the large river plumes, which might have substantially higher production. Mean values of the period 1993-1997 of nutrient concentrations (phosphate, nitrate, ammonium and silicate), phytoplankton biomass, chlorophyll a (chl a) concentration, turbidity and primary production were calculated in the plumes of the rivers Oder, Vistula and Daugava and Klaipeda Strait as well as the open waters of the Arkona Sea, Bornholm Sea, eastern Gotland Sea and the Gulf of Riga. In the plumes, these values, except for primary production, were significantly higher than in the open waters. N:P ratios in the plumes were \u003e16 (with some exceptions in summer and autumn), indicating potential P-limitation of phytoplankton growth, whereas they were \u003c16 in the open Baltic Proper, indicating potential N-limitation. On the basis of in situ phytoplankton primary production, phytoplankton biomass and nutrient concentrations, the large river plumes and the Gulf of Riga could be characterized as eutrophic and the outer parts of the coastal waters and the open sea as mesotrophic. Using salinity to define the border of the plumes, their mean extension was calculated by means of a circulation model. Taking into account the contribution of coastal waters, the primary production in the Baltic Proper and the Gulf of Riga was 42·6 and 4·3 10 6 t C yr 1 , respectively. Hence, an annual phytoplankton primary production in the whole Baltic Sea was estimated at 62 10 6 t C yr 1 . The separate consideration of the plumes had only a minor effect on the estimation of total primary production in comparison with an estimate based on open sea data only. There is evidence for a doubling of primary production in the last two decades. Moreover, a replacement of diatoms by dinoflagellates during the spring bloom was noticed in the open sea but not in the coastal waters. A scheme for trophic classification of the Baltic Sea, based on phytoplankton primary production and biomass, chl a and nutrient concentrations, is proposed.","publication_date":{"day":null,"month":null,"year":2001,"errors":{}},"publication_name":"Estuarine, Coastal and Shelf 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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/46855459/Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008"><img alt="Research paper thumbnail of Changes in phytoplankton communities along a north–south gradient in the Baltic sea between 1990 and 2008" 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/46855459/Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008">Changes in phytoplankton communities along a north–south gradient in the Baltic sea between 1990 and 2008</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quan...</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">Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quantitative long-term data. We investigated changes in biomass of summer (June– September) phytoplankton over the last two decades (1990–2008) along a north–south gradient in the Baltic Sea. The areas were characterized by different temperature, salinity and nutrient conditions. Thirty taxonomic groups were selected for the statistical analysis. Increases in total phytoplankton, particularly cyanobacterial, biomass were observed in the Gulfs of Bothnia and Finland. In these two areas over the study period cyanobacteria also became abundant earlier in the season, and in the Curonian Lagoon Planktothrix agardhii replaced Aphanizomenon flos-aquae as the most abundant cyanobacterium. In general, water temperature was the most influential factor affecting the summer phytoplankton communities. Our data suggest that temperature increases resulting from climate change are likely to cause basin-spec...</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="46855459"><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="46855459"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 46855459; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=46855459]").text(description); $(".js-view-count[data-work-id=46855459]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 46855459; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='46855459']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 46855459, 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" } } $('.js-work-strip[data-work-id=46855459]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":46855459,"title":"Changes in phytoplankton communities along a north–south gradient in the Baltic sea between 1990 and 2008","translated_title":"","metadata":{"abstract":"Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quantitative long-term data. We investigated changes in biomass of summer (June– September) phytoplankton over the last two decades (1990–2008) along a north–south gradient in the Baltic Sea. The areas were characterized by different temperature, salinity and nutrient conditions. Thirty taxonomic groups were selected for the statistical analysis. Increases in total phytoplankton, particularly cyanobacterial, biomass were observed in the Gulfs of Bothnia and Finland. In these two areas over the study period cyanobacteria also became abundant earlier in the season, and in the Curonian Lagoon Planktothrix agardhii replaced Aphanizomenon flos-aquae as the most abundant cyanobacterium. In general, water temperature was the most influential factor affecting the summer phytoplankton communities. Our data suggest that temperature increases resulting from climate change are likely to cause basin-spec..."},"translated_abstract":"Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quantitative long-term data. We investigated changes in biomass of summer (June– September) phytoplankton over the last two decades (1990–2008) along a north–south gradient in the Baltic Sea. The areas were characterized by different temperature, salinity and nutrient conditions. Thirty taxonomic groups were selected for the statistical analysis. Increases in total phytoplankton, particularly cyanobacterial, biomass were observed in the Gulfs of Bothnia and Finland. In these two areas over the study period cyanobacteria also became abundant earlier in the season, and in the Curonian Lagoon Planktothrix agardhii replaced Aphanizomenon flos-aquae as the most abundant cyanobacterium. In general, water temperature was the most influential factor affecting the summer phytoplankton communities. Our data suggest that temperature increases resulting from climate change are likely to cause basin-spec...","internal_url":"https://www.academia.edu/46855459/Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008","translated_internal_url":"","created_at":"2021-04-14T04:37:52.926-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":24852721,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":24852721,"first_name":"Irina","middle_initials":null,"last_name":"Olenina","page_name":"IrinaOlenina","domain_name":"independent","created_at":"2015-01-15T01:19:51.680-08:00","display_name":"Irina Olenina","url":"https://independent.academia.edu/IrinaOlenina"},"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="13174082"><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/13174082/Seasonality_of_coastal_phytoplankton_in_the_Baltic_Sea_Influence_of_salinity_and_eutrophication"><img alt="Research paper thumbnail of Seasonality of coastal phytoplankton in the Baltic Sea: Influence of salinity and eutrophication" class="work-thumbnail" src="https://attachments.academia-assets.com/45615108/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/13174082/Seasonality_of_coastal_phytoplankton_in_the_Baltic_Sea_Influence_of_salinity_and_eutrophication">Seasonality of coastal phytoplankton in the Baltic Sea: Influence of salinity and eutrophication</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://independent.academia.edu/AsHeiskanen">A.-s. Heiskanen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PKauppila">P. Kauppila</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/NWasmund">N. Wasmund</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/HenriksenP">Peter Henriksen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/IrinaOlenina">Irina Olenina</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/ZitaGasiunaite">Zita Gasiūnaitė</a></span></div><div class="wp-workCard_item"><span>Estuarine, Coastal and Shelf Science</span><span>, 2005</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f6fb6977f30d84a3cf9eedc7a926745b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45615108,"asset_id":13174082,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45615108/download_file?st=MTczMzE2OTY3OSw4LjIyMi4yMDguMTQ2&st=MTczMzE2OTY3Nyw4LjIyMi4yMDguMTQ2&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="13174082"><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="13174082"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13174082; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13174082]").text(description); $(".js-view-count[data-work-id=13174082]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 13174082; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='13174082']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 13174082, 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: "f6fb6977f30d84a3cf9eedc7a926745b" } } $('.js-work-strip[data-work-id=13174082]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":13174082,"title":"Seasonality of coastal phytoplankton in the Baltic Sea: Influence of salinity and eutrophication","translated_title":"","metadata":{"grobid_abstract":"In this study long-term (1984e2001) phytoplankton and physico-chemical monitoring data representing different salinity regimes of the Baltic Sea were compiled from HELCOM, national and regional databases. The aim was to define seasonal succession patterns of phytoplankton in seven different areas of the Baltic sea, characterised by different salinity, climate, and trophic conditions and to delineate a set of phytoplankton community indicators that are independent of season and salinity, but indicative of trophic status of different coastal areas. The cluster analysis of the combined data set resulted in eight phytoplankton community types, common for all locations, and characterised by different taxonomic composition representing different stages of seasonal succession. A hierarchy of explanatory variables that best predicted the communities, dominated by either diatoms, cyanophytes, cryptophytes or dinoflagellates, was revealed through a redundancy analysis (RDA). Nutrients were not found to be significant factors shaping the common phytoplankton community types for all locations. RDA analysis at the location level, covering all seasonal succession stages, confirmed phytoplankton community composition to be sensitive to nutrient concentrations. Even with the limitations of utilizing databases from different sources we identified community types that were indicative of climatic conditions (particularly temperature), salinity and eutrophication. The dominance of cyanobacteria as such, would not be an appropriate indicator of trophic conditions in the Baltic Sea, in the areas where cyanobacteria blooms occur naturally. The structure of both diatom-and cyanophyte-dominated communities is governed by salinity, and thus the abundances of these groups cannot be directly used as an indicator across the whole Baltic Sea.","publication_date":{"day":null,"month":null,"year":2005,"errors":{}},"publication_name":"Estuarine, Coastal and Shelf Science","grobid_abstract_attachment_id":45615108},"translated_abstract":null,"internal_url":"https://www.academia.edu/13174082/Seasonality_of_coastal_phytoplankton_in_the_Baltic_Sea_Influence_of_salinity_and_eutrophication","translated_internal_url":"","created_at":"2015-06-22T06:54:20.532-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32429082,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":1352445,"work_id":13174082,"tagging_user_id":32429082,"tagged_user_id":32521040,"co_author_invite_id":432264,"email":"a***n@ymparisto.fi","display_order":-5991862,"name":"A.-s. 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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/22970995/Changes_in_phytoplankton_communities_along_a_north_south_gradient_in_the_Baltic_sea_between_1990_and_2008">Changes in phytoplankton communities along a north–south gradient in the Baltic sea between 1990 and 2008</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://independent.academia.edu/IrinaOlenina">Irina Olenina</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AndresJaanus">Andres Jaanus</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AgnetaAndersson1">Agneta Andersson</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quan...</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">Evaluation of changes in Baltic Sea phytoplankton communities has been hampered by a lack of quantitative long-term data. We investigated changes in biomass of summer (June– September) phytoplankton over the last two decades (1990–2008) along a north–south gradient in the Baltic Sea. The areas were characterized by different temperature, salinity and nutrient conditions. Thirty taxonomic groups were selected for the statistical analysis. Increases in total phytoplankton, particularly cyanobacterial, biomass were observed in the Gulfs of Bothnia and Finland. In these two areas over the study period cyanobacteria also became abundant earlier in the season, and in the Curonian Lagoon Planktothrix agardhii replaced Aphanizomenon flos-aquae as the most abundant cyanobacterium. In general, water temperature was the most influential factor affecting the summer phytoplankton communities. 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Ed. by Pauli Snoeijs and V...</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">Intercalibration and distribution of diatom species in the Baltic Sea. Ed. by Pauli Snoeijs and Vilbaste, 34 It was found essential to agree upon diatom species indentification in the Baltic Sea since difficulties have arisen due to the lack of exenange of literature and language barriers between the different countries around the Baltic Sea. This book is part of a sieries of five volumes and presents the results of the second Workshop of BMB/WG 27 held at the Asko Laboratory.</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="22970994"><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="22970994"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22970994; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22970994]").text(description); $(".js-view-count[data-work-id=22970994]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22970994; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='22970994']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 22970994, 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" } } $('.js-work-strip[data-work-id=22970994]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":22970994,"title":"Cymatopleura solea (Brebisson) W.Smith 1851","translated_title":"","metadata":{"abstract":"Intercalibration and distribution of diatom species in the Baltic Sea. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="22970993"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/22970993/Species_composition_of_the_Kursiu_marios_Lagoon_and_the_south_eastern_Baltic_coastal_phytoplankton"><img alt="Research paper thumbnail of Species composition of the Kursiu marios Lagoon and the south-eastern Baltic coastal phytoplankton" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/22970993/Species_composition_of_the_Kursiu_marios_Lagoon_and_the_south_eastern_Baltic_coastal_phytoplankton">Species composition of the Kursiu marios Lagoon and the south-eastern Baltic coastal phytoplankton</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Botanica Lithuanica, vol. 2, nr. 3, 259-300</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="22970993"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="22970993"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22970993; 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This study is concerned with precise contour detection for objects representing the Prorocentrum minimum species in phytoplankton images. The framework requires a single object with the ground truth contour as a prototype to perform detection of the contour for the remaining objects. The level set method is chosen as a segmentation algorithm and its parameters are tuned by differential evolution. The fitness function is based on the distance between pixels near contour in the prototype image and pixels near detected contour in the target image. Pixels “of interest correspond to several concentric bands of various width in outer and inner areas, relative to the contour. Usefulness of the introduced approach was demonstrated by comparing it to the basic level set and advanced Weka segmentation techniques. 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href="https://www.academia.edu/22970990/Environmental_Problems_of_the_South_Eastern_Baltic_Coast_and_the_Curonian_Lagoon"><img alt="Research paper thumbnail of Environmental Problems of the South-Eastern Baltic Coast and the Curonian Lagoon" 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/22970990/Environmental_Problems_of_the_South_Eastern_Baltic_Coast_and_the_Curonian_Lagoon">Environmental Problems of the South-Eastern Baltic Coast and the Curonian Lagoon</a></div><div class="wp-workCard_item"><span>Baltic Coastal Ecosystems</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Environmental problems of the south-eastern Baltic are quite common for the rest of the ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Environmental problems of the south-eastern Baltic are quite common for the rest of the Baltic Sea. The threat of oil spills increases with the increase in volume of oil transportation. The number of alien invasive species is growing, as is their impact on ...</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="22970990"><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="22970990"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22970990; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22970990]").text(description); $(".js-view-count[data-work-id=22970990]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22970990; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='22970990']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 22970990, 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" } } $('.js-work-strip[data-work-id=22970990]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":22970990,"title":"Environmental Problems of the South-Eastern Baltic Coast and the Curonian Lagoon","translated_title":"","metadata":{"abstract":"Abstract Environmental problems of the south-eastern Baltic are quite common for the rest of the Baltic Sea. 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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="22970989"><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/22970989/Boosting_performance_of_the_edge_based_active_contour_model_applied_to_phytoplankton_images"><img alt="Research paper thumbnail of Boosting performance of the edge-based active contour model applied to phytoplankton images" class="work-thumbnail" src="https://attachments.academia-assets.com/43493262/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/22970989/Boosting_performance_of_the_edge_based_active_contour_model_applied_to_phytoplankton_images">Boosting performance of the edge-based active contour model applied to phytoplankton images</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://independent.academia.edu/IrinaOlenina">Irina Olenina</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RicardasPaskauskas">Ricardas Paskauskas</a></span></div><div class="wp-workCard_item"><span>2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI)</span><span>, 2012</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4def1360afc5d26f12b7ac9de99e74bb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43493262,"asset_id":22970989,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43493262/download_file?st=MTczMzE2OTY3OSw4LjIyMi4yMDguMTQ2&st=MTczMzE2OTY3OSw4LjIyMi4yMDguMTQ2&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="22970989"><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="22970989"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22970989; 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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/22970988/Validation_of_MERIS_chlorophyll_a_products_in_the_Lithuanian_Baltic_Sea_case_2_coastal_waters">Validation of MERIS chlorophyll a products in the Lithuanian Baltic Sea case 2 coastal waters</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://independent.academia.edu/IrinaOlenina">Irina Olenina</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DianaVai%C4%8Di%C5%ABt%C4%97">Diana Vaičiūtė</a></span></div><div class="wp-workCard_item"><span>2010 IEEE/OES Baltic International Symposium (BALTIC)</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The national water quality monitoring in the Lithuanian Baltic Sea waters has started fi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The national water quality monitoring in the Lithuanian Baltic Sea waters has started fifty years ago. Consistently implemented long-term monitoring programs are critical for detecting changes in water environment in frame of rapidly changing climate and increasing anthropogenic activity on coastal waters. Nevertheless, conventional sampling methods cannot produce enough data about spatial and temporal distribution of phytoplankton blooms, outflow hypertrophic waters of the Curonian Lagoon in the Sea. Satellite based remote sensing provides critical ecological information on global, regional and local scales. However, before the direct use of satellite products for the monitoring and scientific applications, Earth observation data should be validated with in situ measurements for the particular research area. In this study, we performed for the firs time the validation of in situ and satellite chlorophyll a data over turbid Lithuanian Baltic Sea coastal waters within spring, summer and autumn in presence of different phytoplankton communities. The analysis was based on the data of the national Lithuanian monitoring in the Baltic Sea during 2001-2007. For the estimation of photosynthetic pigments the spectrophotometric method was used (HELCOM, 1988), using GF/F filters and extraction into 96% ethanol. In parallel integrated phytoplankton samples were preserved with acetic Lugol&amp;#39;s solution. Treatment of samples was done using the inverted microscope technique with accordance to standard HELCOM methodology. Since correlation between surface and integrated chlorophyll a concentrations was high (r=0.9, p</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="22970988"><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="22970988"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22970988; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22970988]").text(description); $(".js-view-count[data-work-id=22970988]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22970988; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='22970988']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 22970988, 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" } } $('.js-work-strip[data-work-id=22970988]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":22970988,"title":"Validation of MERIS chlorophyll a products in the Lithuanian Baltic Sea case 2 coastal waters","translated_title":"","metadata":{"abstract":"ABSTRACT The national water quality monitoring in the Lithuanian Baltic Sea waters has started fifty years ago. Consistently implemented long-term monitoring programs are critical for detecting changes in water environment in frame of rapidly changing climate and increasing anthropogenic activity on coastal waters. Nevertheless, conventional sampling methods cannot produce enough data about spatial and temporal distribution of phytoplankton blooms, outflow hypertrophic waters of the Curonian Lagoon in the Sea. Satellite based remote sensing provides critical ecological information on global, regional and local scales. However, before the direct use of satellite products for the monitoring and scientific applications, Earth observation data should be validated with in situ measurements for the particular research area. In this study, we performed for the firs time the validation of in situ and satellite chlorophyll a data over turbid Lithuanian Baltic Sea coastal waters within spring, summer and autumn in presence of different phytoplankton communities. The analysis was based on the data of the national Lithuanian monitoring in the Baltic Sea during 2001-2007. For the estimation of photosynthetic pigments the spectrophotometric method was used (HELCOM, 1988), using GF/F filters and extraction into 96% ethanol. In parallel integrated phytoplankton samples were preserved with acetic Lugol\u0026amp;#39;s solution. Treatment of samples was done using the inverted microscope technique with accordance to standard HELCOM methodology. Since correlation between surface and integrated chlorophyll a concentrations was high (r=0.9, p","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"2010 IEEE/OES Baltic International Symposium (BALTIC)"},"translated_abstract":"ABSTRACT The national water quality monitoring in the Lithuanian Baltic Sea waters has started fifty years ago. 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The analysis was based on the data of the national Lithuanian monitoring in the Baltic Sea during 2001-2007. For the estimation of photosynthetic pigments the spectrophotometric method was used (HELCOM, 1988), using GF/F filters and extraction into 96% ethanol. In parallel integrated phytoplankton samples were preserved with acetic Lugol\u0026amp;#39;s solution. Treatment of samples was done using the inverted microscope technique with accordance to standard HELCOM methodology. 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