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Catherine Quiblier - Academia.edu

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data-dom-id="Pill-react-component-30751330-cc06-42e6-bc1a-34351a02d81e"></div> <div id="Pill-react-component-30751330-cc06-42e6-bc1a-34351a02d81e"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Catherine Quiblier</h3></div><div class="js-work-strip profile--work_container" data-work-id="117667320"><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/117667320/Assessment_of_cyanotoxins_in_water_and_fish_in_an_African_freshwater_lagoon_Lagoon_Aghien_Ivory_Coast_and_the_application_of_WHO_guidelines"><img alt="Research paper thumbnail of Assessment of cyanotoxins in water and fish in an African freshwater lagoon (Lagoon Aghien, Ivory Coast) and the application of WHO guidelines" class="work-thumbnail" src="https://attachments.academia-assets.com/113465366/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/117667320/Assessment_of_cyanotoxins_in_water_and_fish_in_an_African_freshwater_lagoon_Lagoon_Aghien_Ivory_Coast_and_the_application_of_WHO_guidelines">Assessment of cyanotoxins in water and fish in an African freshwater lagoon (Lagoon Aghien, Ivory Coast) and the application of WHO guidelines</a></div><div class="wp-workCard_item"><span>Research Square (Research Square)</span><span>, May 19, 2023</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3b8375abfae9b0be460d3d11ce1944c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465366,&quot;asset_id&quot;:117667320,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465366/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667320"><a class="js-profile-work-strip-edit-button" 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$('.js-work-strip[data-work-id=117667320]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667320,"title":"Assessment of cyanotoxins in water and fish in an African freshwater lagoon (Lagoon Aghien, Ivory Coast) and the application of WHO guidelines","translated_title":"","metadata":{"publisher":"Research Square","grobid_abstract":"In comparison with northern countries, limited data are available on the occurrence and potential toxicity of cyanobacterial blooms in lakes and ponds in Sub-Saharan countries. With the aim of enhancing our knowledge on cyanobacteria and their toxins in Africa, we performed a 17-month monitoring of a freshwater ecosystem, Lagoon Aghien (Ivory Coast), which is used for multiple practices by riverine populations and for drinking water production in Abidjan city. The richness and diversity of the cyanobacterial community were high and displayed few variations during the entire survey. The monthly average abundances ranged from 4.1x10 4 cell mL − 1 to 1.8x10 5 cell mL − 1 , with higher abundances recorded during the dry seasons. Among the ve cyanotoxin families analyzed, only microcystins (MC) were detected with concentrations ranging from 0 to 0.364 µg L − 1 in phytoplankton cells, from 32 to 1,092 µg kg − 1 fresh weight of sh intestines and from 33 to 383 µg kg − 1 in sh livers. Even if the MC concentrations in water and sh are low, usually below the thresholds de ned in WHO guidelines, these data raise the issue of the relevance of these WHO guidelines for Sub-Saharan Africa, where local populations are exposed throughout the year to these toxins in multiple ways.","publication_date":{"day":19,"month":5,"year":2023,"errors":{}},"publication_name":"Research Square (Research Square)","grobid_abstract_attachment_id":113465366},"translated_abstract":null,"internal_url":"https://www.academia.edu/117667320/Assessment_of_cyanotoxins_in_water_and_fish_in_an_African_freshwater_lagoon_Lagoon_Aghien_Ivory_Coast_and_the_application_of_WHO_guidelines","translated_internal_url":"","created_at":"2024-04-18T00:17:58.142-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32856259,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113465366,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113465366/thumbnails/1.jpg","file_name":"latest.pdf","download_url":"https://www.academia.edu/attachments/113465366/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Assessment_of_cyanotoxins_in_water_and_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113465366/latest-libre.pdf?1713426570=\u0026response-content-disposition=attachment%3B+filename%3DAssessment_of_cyanotoxins_in_water_and_f.pdf\u0026Expires=1732737161\u0026Signature=gNwSxDnKgUYVWkcRl-KDextMCkFVR4FoifCsytwSJ01DZJf7Tjz~zxBubI9GCg9Asq5cPwoabWQr8sFvxlF9s39h5jm026CyyB4DnBJStYSQQpp3iAOiaXfEExUUBgJV87jIZ2ymi~yvZQ54fE2hgKI~3em-n641MFSpAX5JEkfZbIAKVdjIk7ZWDwf8tSos9R7hQswCDI3Hixb-uljqfwcyRp2xPcpqvm4F41iTG2i-eLVUCIUmhpeUEsVaa-wo6AH2iU5lBpUez9pvGhpBPZnPCtpGqDHDwrEdAFUQO5Jk4x-dmx621yKJElRc~UZxujIVviNPr7wDng2LTPoWoA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Assessment_of_cyanotoxins_in_water_and_fish_in_an_African_freshwater_lagoon_Lagoon_Aghien_Ivory_Coast_and_the_application_of_WHO_guidelines","translated_slug":"","page_count":23,"language":"en","content_type":"Work","owner":{"id":32856259,"first_name":"Catherine","middle_initials":null,"last_name":"Quiblier","page_name":"CatherineQuiblier","domain_name":"independent","created_at":"2015-07-06T22:37:30.033-07:00","display_name":"Catherine Quiblier","url":"https://independent.academia.edu/CatherineQuiblier"},"attachments":[{"id":113465366,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113465366/thumbnails/1.jpg","file_name":"latest.pdf","download_url":"https://www.academia.edu/attachments/113465366/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Assessment_of_cyanotoxins_in_water_and_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113465366/latest-libre.pdf?1713426570=\u0026response-content-disposition=attachment%3B+filename%3DAssessment_of_cyanotoxins_in_water_and_f.pdf\u0026Expires=1732737161\u0026Signature=gNwSxDnKgUYVWkcRl-KDextMCkFVR4FoifCsytwSJ01DZJf7Tjz~zxBubI9GCg9Asq5cPwoabWQr8sFvxlF9s39h5jm026CyyB4DnBJStYSQQpp3iAOiaXfEExUUBgJV87jIZ2ymi~yvZQ54fE2hgKI~3em-n641MFSpAX5JEkfZbIAKVdjIk7ZWDwf8tSos9R7hQswCDI3Hixb-uljqfwcyRp2xPcpqvm4F41iTG2i-eLVUCIUmhpeUEsVaa-wo6AH2iU5lBpUez9pvGhpBPZnPCtpGqDHDwrEdAFUQO5Jk4x-dmx621yKJElRc~UZxujIVviNPr7wDng2LTPoWoA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":24811,"name":"Phytoplankton","url":"https://www.academia.edu/Documents/in/Phytoplankton"},{"id":173285,"name":"Fishery","url":"https://www.academia.edu/Documents/in/Fishery"},{"id":181597,"name":"Root-Mean Square Error","url":"https://www.academia.edu/Documents/in/Root-Mean_Square_Error"},{"id":415067,"name":"Cyanotoxin","url":"https://www.academia.edu/Documents/in/Cyanotoxin"}],"urls":[{"id":41193497,"url":"https://www.researchsquare.com/article/rs-2860580/latest.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="117667319"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/117667319/Biofilms_%C3%A0_cyanobact%C3%A9ries_dans_les_rivi%C3%A8res_une_diversit%C3%A9_et_une_%C3%A9cologie_encore_m%C3%A9connues"><img alt="Research paper thumbnail of Biofilms à cyanobactéries dans les rivières : une diversité et une écologie encore méconnues" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/117667319/Biofilms_%C3%A0_cyanobact%C3%A9ries_dans_les_rivi%C3%A8res_une_diversit%C3%A9_et_une_%C3%A9cologie_encore_m%C3%A9connues">Biofilms à cyanobactéries dans les rivières : une diversité et une écologie encore méconnues</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Nov 19, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="117667319"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="117667319"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667319; 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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="117667309"><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/117667309/Rapid_assessment_of_multiple_limiting_factors_of_phytoplankton_biomass_bioassays_in_vivo_chlorophyll_a_fluorescence_and_factorial_design"><img alt="Research paper thumbnail of Rapid assessment of multiple-limiting factors of phytoplankton biomass: bioassays, in vivo chlorophyll-a fluorescence, and factorial design" 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/117667309/Rapid_assessment_of_multiple_limiting_factors_of_phytoplankton_biomass_bioassays_in_vivo_chlorophyll_a_fluorescence_and_factorial_design">Rapid assessment of multiple-limiting factors of phytoplankton biomass: bioassays, in vivo chlorophyll-a fluorescence, and factorial design</a></div><div class="wp-workCard_item"><span>Archiv Fur Hydrobiologie</span><span>, Aug 31, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An approach is described here that has been designed to determine the fac- tors that control grow...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">An approach is described here that has been designed to determine the fac- tors that control growth and standing crop in natural populations of phytoplankton. This approach involves the use of 1) small volume bioassays of natural phytoplankton samples, incubated in semi-natural conditions, 2) indirect determination of phyto- plankton biomass during growth by in vivo chlorophyll-a fluorescence measurements, and 3) computer-designed factorial plans. A commercial computer program was used to achieve optimal planning of the assays, statistically sound and rapid data analysis, and forecasting of phytoplankton responses to inputs. An example of field application of the protocol is described, in which a phytoplankton population of a Western African Lake was studied. This approach can be used to rapidly identify the main bottom-up control factors and their interactions, and further refining of analysis with optimization of sample number. Modelled responses also make it possible to predict how phyto- plankton biomass would change in reaction to changes in environmental conditions. The pros and cons of the approach are discussed taking into account the use of frac- tional design and the reduction of sample numbers.</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="117667309"><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="117667309"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667309; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=117667309]").text(description); $(".js-view-count[data-work-id=117667309]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 117667309; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='117667309']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667309, 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" } } $('.js-work-strip[data-work-id=117667309]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667309,"title":"Rapid assessment of multiple-limiting factors of phytoplankton biomass: bioassays, in vivo chlorophyll-a fluorescence, and factorial design","translated_title":"","metadata":{"abstract":"An approach is described here that has been designed to determine the fac- tors that control growth and standing crop in natural populations of phytoplankton. 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Despite Increasing interest in fish gut microbiomes diversity and functions, little data is currently available regarding wild species from tropical west African lakes. Here, gut-associated bacterial communities are investigated in four fish species that are consumed by locale populations, namely the Cichlidae Hemichromis fasciatus, Tilapia guineensis and Sarotherodon melanotheron, and the Claroteidae Chrysichthys nigrodigitatus. Species-related differences are identified, that can be attributed to host phylogeny and diet. Important variations throughout the year are observed in T. guineensis and C. nigrodigitatus. This result emphasized the importance of time-series sampling and comparison with environmental variables even in tropical regions, that are not often conducted in wild populations. Effects of environmental factors (anthropogenic or not) on the microbiota and potenti...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="676d5fab3ea20c1e4ea4b40d8be690ac" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465420,&quot;asset_id&quot;:117667307,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465420/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667307"><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="117667307"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667307; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=117667307]").text(description); $(".js-view-count[data-work-id=117667307]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 117667307; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='117667307']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667307, 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: "676d5fab3ea20c1e4ea4b40d8be690ac" } } $('.js-work-strip[data-work-id=117667307]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667307,"title":"Fish gut-associated bacterial communities in a tropical lagoon (Aghien lagoon, Ivory Coast)","translated_title":"","metadata":{"abstract":"Aghien lagoon (Ivory Coast) is a eutrophic freshwater lagoon that harbors high biomasses of phytoplankton. 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In two embayments of the lake (Murchison Bay and Napoleon Gulf), cyanobacterial surveys were conducted to characterize the dynamics of cyanotoxins in lake water and water treatment plants. Forty-six cyanobacterial taxa were recorded and out of these 14 were considered potentially toxigenic (i.e., from the genera Dolichospermum, Microcystis, Oscillatoria, Pseudanabaena and Raphidiopsis). A higher concentration (ranging from 5-10 µg MC-LR equiv. L-1) of microcystins (MCs) was detected in Murchison Bay compared to Napoleon Gulf, with a declining gradient from the inshore (max. 15 µg MC-LR equiv. L-1) to the open lake. In Murchison Bay, an increase either in Microcystis sp. biovolume and MC was observed over the last two decades. 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href="https://www.academia.edu/117667301/Diff%C3%A9rence_de_fitness_entre_la_souche_Microcystis_aeruginosa_PCC7806_et_son_mutant_non_toxique_en_condition_optimale_de_croissance_co%C3%BBt_de_production_de_la_microcystine"><img alt="Research paper thumbnail of Différence de fitness entre la souche Microcystis aeruginosa PCC7806 et son mutant non toxique en condition optimale de croissance: coût de production de la microcystine?" 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/117667301/Diff%C3%A9rence_de_fitness_entre_la_souche_Microcystis_aeruginosa_PCC7806_et_son_mutant_non_toxique_en_condition_optimale_de_croissance_co%C3%BBt_de_production_de_la_microcystine">Différence de fitness entre la souche Microcystis aeruginosa PCC7806 et son mutant non toxique en condition optimale de croissance: coût de production de la microcystine?</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Jan 31, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">International audienc</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="117667301"><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 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});</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667301, 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" } } $('.js-work-strip[data-work-id=117667301]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667301,"title":"Différence de fitness entre la souche Microcystis aeruginosa PCC7806 et son mutant non 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experiments" class="work-thumbnail" src="https://attachments.academia-assets.com/113465417/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/117667300/Impacts_of_nutrient_loading_and_fish_grazing_on_the_phytoplankton_community_and_cyanotoxin_production_in_a_shallow_tropical_lake_Results_from_mesocosm_experiments">Impacts of nutrient loading and fish grazing on the phytoplankton community and cyanotoxin production in a shallow tropical lake: Results from mesocosm experiments</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Given the increasing eutrophication of water bodies in Africa due to increasing anthropogenic pre...</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">Given the increasing eutrophication of water bodies in Africa due to increasing anthropogenic pressures, data are needed to better understand the responses of phytoplankton communities to these changes in tropical lakes. These ecosystems are used by local human populations for multiple purposes, including fish and drinking water production, potentially exposing these populations to health threats if, for example, an increase in toxic cyanobacterial blooms is associated with increasing eutrophication. To test the short-term response of the phytoplankton community to the addition of nutrients (phosphorus and nitrogen, alone or in combination) and Nile tilapia, we developed an in situ mesocosm experiment in a freshwater lagoon located near Abidjan (Ivory Coast). We found that phytoplankton growth (estimated by chlorophyll-a quantification) was highly stimulated when both nitrogen and phosphorus were added, while there was no clear evidence for such colimitation by these two nutrients w...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4a6d6b1c5fce0a1dc3003e240f964832" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465417,&quot;asset_id&quot;:117667300,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465417/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667300"><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="117667300"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667300; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=117667300]").text(description); $(".js-view-count[data-work-id=117667300]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 117667300; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='117667300']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667300, 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: "4a6d6b1c5fce0a1dc3003e240f964832" } } $('.js-work-strip[data-work-id=117667300]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667300,"title":"Impacts of nutrient loading and fish grazing on the phytoplankton community and cyanotoxin production in a shallow tropical lake: Results from mesocosm experiments","translated_title":"","metadata":{"abstract":"Given the increasing eutrophication of water bodies in Africa due to increasing anthropogenic pressures, data are needed to better understand the responses of phytoplankton communities to these changes in tropical lakes. 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We found that phytoplankton growth (estimated by chlorophyll-a quantification) was highly stimulated when both nitrogen and phosphorus were added, while there was no clear evidence for such colimitation by these two nutrients w...","publisher":"Authorea, Inc.","publication_date":{"day":null,"month":null,"year":2022,"errors":{}}},"translated_abstract":"Given the increasing eutrophication of water bodies in Africa due to increasing anthropogenic pressures, data are needed to better understand the responses of phytoplankton communities to these changes in tropical lakes. These ecosystems are used by local human populations for multiple purposes, including fish and drinking water production, potentially exposing these populations to health threats if, for example, an increase in toxic cyanobacterial blooms is associated with increasing eutrophication. To test the short-term response of the phytoplankton community to the addition of nutrients (phosphorus and nitrogen, alone or in combination) and Nile tilapia, we developed an in situ mesocosm experiment in a freshwater lagoon located near Abidjan (Ivory Coast). 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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="117667299"><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/117667299/Development_of_a_low_cost_optical_sensor_and_of_a_drone_system_for_the_monitoring_of_cyanobacteria_in_freshwater_ecosystems"><img alt="Research paper thumbnail of Development of a low cost optical sensor and of a drone system for the monitoring of cyanobacteria in freshwater ecosystems" class="work-thumbnail" src="https://attachments.academia-assets.com/113465419/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/117667299/Development_of_a_low_cost_optical_sensor_and_of_a_drone_system_for_the_monitoring_of_cyanobacteria_in_freshwater_ecosystems">Development of a low cost optical sensor and of a drone system for the monitoring of cyanobacteria in freshwater ecosystems</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cyanobacteria blooms frequently disturb the functioning of freshwater ecosystems and their uses, ...</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">Cyanobacteria blooms frequently disturb the functioning of freshwater ecosystems and their uses, due to the toxins dangerous to health that cyanobacteria are able to synthesize. Therefore, many countries have implemented monitoring programs aimed at reducing the risk of human exposure to these toxins. The main limitation is related to the heterogeneity of the spatial distribution of cyanobacteria. In the vertical dimension, these organisms can stay in different layers in the water column and in the horizontal scale, the cells may accumulate in some a rea of the water body, under the action of winds or currents. In an attempt to improve monitoring, many research projects have been undertaken in order to develop new tools, like buoys equipped with various underwater sensors. This tool is highly relevant but it does not allow assessing the horizontal distribution of cyanobacteria and its cost remains expensive. Moreover, if satellite remote sensing can be considered very useful for est...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="926bed4a206bbe2557755d1ab4a55d8f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465419,&quot;asset_id&quot;:117667299,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465419/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667299"><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="117667299"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667299; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=117667299]").text(description); $(".js-view-count[data-work-id=117667299]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 117667299; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='117667299']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667299, 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: "926bed4a206bbe2557755d1ab4a55d8f" } } $('.js-work-strip[data-work-id=117667299]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667299,"title":"Development of a low cost optical sensor and of a drone system for the monitoring of cyanobacteria in freshwater ecosystems","translated_title":"","metadata":{"abstract":"Cyanobacteria blooms frequently disturb the functioning of freshwater ecosystems and their uses, due to the toxins dangerous to health that cyanobacteria are able to synthesize. 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Application to Lake of Enghien-les-Bains" class="work-thumbnail" src="https://attachments.academia-assets.com/113465349/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/117667298/Modelling_cyanobacteria_blooms_in_urban_lakes_Application_to_Lake_of_Enghien_les_Bains">Modelling cyanobacteria blooms in urban lakes. Application to Lake of Enghien-les-Bains</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The ecosystems in urban lakes are very vulnerable to human pressure because of their specific phy...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The ecosystems in urban lakes are very vulnerable to human pressure because of their specific physical functioning, characterized by intermittent thermal stratification and low flow speeds. Furthermore, the high intake of nutrients in these environments encourages blooms of phytoplankton, including toxic cyanobacteria, disrupting their use and causing health problems (Catherine et al., 2008). This work focuses on the implementation of a predictive model of cyanobacteria blooms in urban lakes. It is part of a project whose objective is to develop a monitoring and warning system, in real-time, of phytoplankton blooms in freshwater ecosystems.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ff51a81e5fea23fabd7c364ceea5c051" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465349,&quot;asset_id&quot;:117667298,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465349/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667298"><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="117667298"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667298; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=117667298]").text(description); $(".js-view-count[data-work-id=117667298]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 117667298; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='117667298']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667298, 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: "ff51a81e5fea23fabd7c364ceea5c051" } } $('.js-work-strip[data-work-id=117667298]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667298,"title":"Modelling cyanobacteria blooms in urban lakes. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="3167986" id="papers"><div class="js-work-strip profile--work_container" data-work-id="117667320"><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/117667320/Assessment_of_cyanotoxins_in_water_and_fish_in_an_African_freshwater_lagoon_Lagoon_Aghien_Ivory_Coast_and_the_application_of_WHO_guidelines"><img alt="Research paper thumbnail of Assessment of cyanotoxins in water and fish in an African freshwater lagoon (Lagoon Aghien, Ivory Coast) and the application of WHO guidelines" class="work-thumbnail" src="https://attachments.academia-assets.com/113465366/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/117667320/Assessment_of_cyanotoxins_in_water_and_fish_in_an_African_freshwater_lagoon_Lagoon_Aghien_Ivory_Coast_and_the_application_of_WHO_guidelines">Assessment of cyanotoxins in water and fish in an African freshwater lagoon (Lagoon Aghien, Ivory Coast) and the application of WHO guidelines</a></div><div class="wp-workCard_item"><span>Research Square (Research Square)</span><span>, May 19, 2023</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3b8375abfae9b0be460d3d11ce1944c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465366,&quot;asset_id&quot;:117667320,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465366/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667320"><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="117667320"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667320; 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With the aim of enhancing our knowledge on cyanobacteria and their toxins in Africa, we performed a 17-month monitoring of a freshwater ecosystem, Lagoon Aghien (Ivory Coast), which is used for multiple practices by riverine populations and for drinking water production in Abidjan city. The richness and diversity of the cyanobacterial community were high and displayed few variations during the entire survey. The monthly average abundances ranged from 4.1x10 4 cell mL − 1 to 1.8x10 5 cell mL − 1 , with higher abundances recorded during the dry seasons. Among the ve cyanotoxin families analyzed, only microcystins (MC) were detected with concentrations ranging from 0 to 0.364 µg L − 1 in phytoplankton cells, from 32 to 1,092 µg kg − 1 fresh weight of sh intestines and from 33 to 383 µg kg − 1 in sh livers. 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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="117667309"><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/117667309/Rapid_assessment_of_multiple_limiting_factors_of_phytoplankton_biomass_bioassays_in_vivo_chlorophyll_a_fluorescence_and_factorial_design"><img alt="Research paper thumbnail of Rapid assessment of multiple-limiting factors of phytoplankton biomass: bioassays, in vivo chlorophyll-a fluorescence, and factorial design" 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/117667309/Rapid_assessment_of_multiple_limiting_factors_of_phytoplankton_biomass_bioassays_in_vivo_chlorophyll_a_fluorescence_and_factorial_design">Rapid assessment of multiple-limiting factors of phytoplankton biomass: bioassays, in vivo chlorophyll-a fluorescence, and factorial design</a></div><div class="wp-workCard_item"><span>Archiv Fur Hydrobiologie</span><span>, Aug 31, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An approach is described here that has been designed to determine the fac- tors that control grow...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">An approach is described here that has been designed to determine the fac- tors that control growth and standing crop in natural populations of phytoplankton. 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Despite Increasing interest in fish gut microbiomes diversity and functions, little data is currently available regarding wild species from tropical west African lakes. Here, gut-associated bacterial communities are investigated in four fish species that are consumed by locale populations, namely the Cichlidae Hemichromis fasciatus, Tilapia guineensis and Sarotherodon melanotheron, and the Claroteidae Chrysichthys nigrodigitatus. Species-related differences are identified, that can be attributed to host phylogeny and diet. Important variations throughout the year are observed in T. guineensis and C. nigrodigitatus. This result emphasized the importance of time-series sampling and comparison with environmental variables even in tropical regions, that are not often conducted in wild populations. Effects of environmental factors (anthropogenic or not) on the microbiota and potenti...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="676d5fab3ea20c1e4ea4b40d8be690ac" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465420,&quot;asset_id&quot;:117667307,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465420/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667307"><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="117667307"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667307; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=117667307]").text(description); $(".js-view-count[data-work-id=117667307]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 117667307; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='117667307']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667307, 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: "676d5fab3ea20c1e4ea4b40d8be690ac" } } $('.js-work-strip[data-work-id=117667307]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667307,"title":"Fish gut-associated bacterial communities in a tropical lagoon (Aghien lagoon, Ivory Coast)","translated_title":"","metadata":{"abstract":"Aghien lagoon (Ivory Coast) is a eutrophic freshwater lagoon that harbors high biomasses of phytoplankton. 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In two embayments of the lake (Murchison Bay and Napoleon Gulf), cyanobacterial surveys were conducted to characterize the dynamics of cyanotoxins in lake water and water treatment plants. Forty-six cyanobacterial taxa were recorded and out of these 14 were considered potentially toxigenic (i.e., from the genera Dolichospermum, Microcystis, Oscillatoria, Pseudanabaena and Raphidiopsis). A higher concentration (ranging from 5-10 µg MC-LR equiv. L-1) of microcystins (MCs) was detected in Murchison Bay compared to Napoleon Gulf, with a declining gradient from the inshore (max. 15 µg MC-LR equiv. L-1) to the open lake. In Murchison Bay, an increase either in Microcystis sp. biovolume and MC was observed over the last two decades. Despite high cell densities of toxigenic Microcystis and high MC conc...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="baf3b3ee3beb9b9eb36933024d242338" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465418,&quot;asset_id&quot;:117667305,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465418/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667305"><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="117667305"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667305; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=117667305]").text(description); $(".js-view-count[data-work-id=117667305]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 117667305; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='117667305']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667305, 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: "baf3b3ee3beb9b9eb36933024d242338" } } $('.js-work-strip[data-work-id=117667305]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667305,"title":"Characterization of Potential Threats from Cyanobacterial Toxins in Lake Victoria Embayments and During Water Treatment","translated_title":"","metadata":{"abstract":"Africa’s water needs are often supported by eutrophic waterbodies dominated by cyanobacteria posing health threats to riparian populations from cyanotoxins, and Lake Victoria is no exception. 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href="https://www.academia.edu/117667301/Diff%C3%A9rence_de_fitness_entre_la_souche_Microcystis_aeruginosa_PCC7806_et_son_mutant_non_toxique_en_condition_optimale_de_croissance_co%C3%BBt_de_production_de_la_microcystine"><img alt="Research paper thumbnail of Différence de fitness entre la souche Microcystis aeruginosa PCC7806 et son mutant non toxique en condition optimale de croissance: coût de production de la microcystine?" 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/117667301/Diff%C3%A9rence_de_fitness_entre_la_souche_Microcystis_aeruginosa_PCC7806_et_son_mutant_non_toxique_en_condition_optimale_de_croissance_co%C3%BBt_de_production_de_la_microcystine">Différence de fitness entre la souche Microcystis aeruginosa PCC7806 et son mutant non toxique en condition optimale de croissance: coût de production de la microcystine?</a></div><div class="wp-workCard_item"><span>HAL (Le Centre pour la Communication Scientifique Directe)</span><span>, Jan 31, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">International audienc</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="117667301"><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 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experiments" class="work-thumbnail" src="https://attachments.academia-assets.com/113465417/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/117667300/Impacts_of_nutrient_loading_and_fish_grazing_on_the_phytoplankton_community_and_cyanotoxin_production_in_a_shallow_tropical_lake_Results_from_mesocosm_experiments">Impacts of nutrient loading and fish grazing on the phytoplankton community and cyanotoxin production in a shallow tropical lake: Results from mesocosm experiments</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Given the increasing eutrophication of water bodies in Africa due to increasing anthropogenic pre...</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">Given the increasing eutrophication of water bodies in Africa due to increasing anthropogenic pressures, data are needed to better understand the responses of phytoplankton communities to these changes in tropical lakes. These ecosystems are used by local human populations for multiple purposes, including fish and drinking water production, potentially exposing these populations to health threats if, for example, an increase in toxic cyanobacterial blooms is associated with increasing eutrophication. To test the short-term response of the phytoplankton community to the addition of nutrients (phosphorus and nitrogen, alone or in combination) and Nile tilapia, we developed an in situ mesocosm experiment in a freshwater lagoon located near Abidjan (Ivory Coast). We found that phytoplankton growth (estimated by chlorophyll-a quantification) was highly stimulated when both nitrogen and phosphorus were added, while there was no clear evidence for such colimitation by these two nutrients w...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4a6d6b1c5fce0a1dc3003e240f964832" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465417,&quot;asset_id&quot;:117667300,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465417/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667300"><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="117667300"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667300; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=117667300]").text(description); $(".js-view-count[data-work-id=117667300]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 117667300; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='117667300']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667300, 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: "4a6d6b1c5fce0a1dc3003e240f964832" } } $('.js-work-strip[data-work-id=117667300]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667300,"title":"Impacts of nutrient loading and fish grazing on the phytoplankton community and cyanotoxin production in a shallow tropical lake: Results from mesocosm experiments","translated_title":"","metadata":{"abstract":"Given the increasing eutrophication of water bodies in Africa due to increasing anthropogenic pressures, data are needed to better understand the responses of phytoplankton communities to these changes in tropical lakes. These ecosystems are used by local human populations for multiple purposes, including fish and drinking water production, potentially exposing these populations to health threats if, for example, an increase in toxic cyanobacterial blooms is associated with increasing eutrophication. To test the short-term response of the phytoplankton community to the addition of nutrients (phosphorus and nitrogen, alone or in combination) and Nile tilapia, we developed an in situ mesocosm experiment in a freshwater lagoon located near Abidjan (Ivory Coast). We found that phytoplankton growth (estimated by chlorophyll-a quantification) was highly stimulated when both nitrogen and phosphorus were added, while there was no clear evidence for such colimitation by these two nutrients w...","publisher":"Authorea, Inc.","publication_date":{"day":null,"month":null,"year":2022,"errors":{}}},"translated_abstract":"Given the increasing eutrophication of water bodies in Africa due to increasing anthropogenic pressures, data are needed to better understand the responses of phytoplankton communities to these changes in tropical lakes. These ecosystems are used by local human populations for multiple purposes, including fish and drinking water production, potentially exposing these populations to health threats if, for example, an increase in toxic cyanobacterial blooms is associated with increasing eutrophication. To test the short-term response of the phytoplankton community to the addition of nutrients (phosphorus and nitrogen, alone or in combination) and Nile tilapia, we developed an in situ mesocosm experiment in a freshwater lagoon located near Abidjan (Ivory Coast). We found that phytoplankton growth (estimated by chlorophyll-a quantification) was highly stimulated when both nitrogen and phosphorus were added, while there was no clear evidence for such colimitation by these two nutrients w...","internal_url":"https://www.academia.edu/117667300/Impacts_of_nutrient_loading_and_fish_grazing_on_the_phytoplankton_community_and_cyanotoxin_production_in_a_shallow_tropical_lake_Results_from_mesocosm_experiments","translated_internal_url":"","created_at":"2024-04-18T00:17:54.386-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32856259,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113465417,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113465417/thumbnails/1.jpg","file_name":"93769.pdf","download_url":"https://www.academia.edu/attachments/113465417/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Impacts_of_nutrient_loading_and_fish_gra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113465417/93769-libre.pdf?1713426544=\u0026response-content-disposition=attachment%3B+filename%3DImpacts_of_nutrient_loading_and_fish_gra.pdf\u0026Expires=1732737161\u0026Signature=d4dU4mqaGDvLEflbrHBe4ZL5uKlKr3TJHEOfV7X-I59tiW2I9yfnyp-MJ8hSMCJ8FkjRgLfBCz860cqyFB8FV8-7rYR86om45HpDv6wtPpKcRLjc0rblLYdMQIbPNa6Pz9NRe-J5WLQ8P7A~W1RfsD24gvXO8JK4ma6j3TMMLPiM~4JA-di5fqN5gOQf8cYgeQrSG~5GjuVE5FLBX7DyXOVSkV10SHi1VqYIenPTnUiHvisESmfneB7OzaCGaOkt4fuy2UCr5rcjSw1xodz3UQXUd5xjWpFh09OXAWyoh1TQD9a3piZNksCcdaNGQRQuLt~kALcldaydrFOI6ukvdg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Impacts_of_nutrient_loading_and_fish_grazing_on_the_phytoplankton_community_and_cyanotoxin_production_in_a_shallow_tropical_lake_Results_from_mesocosm_experiments","translated_slug":"","page_count":24,"language":"en","content_type":"Work","owner":{"id":32856259,"first_name":"Catherine","middle_initials":null,"last_name":"Quiblier","page_name":"CatherineQuiblier","domain_name":"independent","created_at":"2015-07-06T22:37:30.033-07:00","display_name":"Catherine Quiblier","url":"https://independent.academia.edu/CatherineQuiblier"},"attachments":[{"id":113465417,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113465417/thumbnails/1.jpg","file_name":"93769.pdf","download_url":"https://www.academia.edu/attachments/113465417/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Impacts_of_nutrient_loading_and_fish_gra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113465417/93769-libre.pdf?1713426544=\u0026response-content-disposition=attachment%3B+filename%3DImpacts_of_nutrient_loading_and_fish_gra.pdf\u0026Expires=1732737161\u0026Signature=d4dU4mqaGDvLEflbrHBe4ZL5uKlKr3TJHEOfV7X-I59tiW2I9yfnyp-MJ8hSMCJ8FkjRgLfBCz860cqyFB8FV8-7rYR86om45HpDv6wtPpKcRLjc0rblLYdMQIbPNa6Pz9NRe-J5WLQ8P7A~W1RfsD24gvXO8JK4ma6j3TMMLPiM~4JA-di5fqN5gOQf8cYgeQrSG~5GjuVE5FLBX7DyXOVSkV10SHi1VqYIenPTnUiHvisESmfneB7OzaCGaOkt4fuy2UCr5rcjSw1xodz3UQXUd5xjWpFh09OXAWyoh1TQD9a3piZNksCcdaNGQRQuLt~kALcldaydrFOI6ukvdg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":24811,"name":"Phytoplankton","url":"https://www.academia.edu/Documents/in/Phytoplankton"},{"id":26181,"name":"Eutrophication","url":"https://www.academia.edu/Documents/in/Eutrophication"},{"id":244969,"name":"Nutrient","url":"https://www.academia.edu/Documents/in/Nutrient"},{"id":379567,"name":"Algal Bloom","url":"https://www.academia.edu/Documents/in/Algal_Bloom"}],"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="117667299"><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/117667299/Development_of_a_low_cost_optical_sensor_and_of_a_drone_system_for_the_monitoring_of_cyanobacteria_in_freshwater_ecosystems"><img alt="Research paper thumbnail of Development of a low cost optical sensor and of a drone system for the monitoring of cyanobacteria in freshwater ecosystems" class="work-thumbnail" src="https://attachments.academia-assets.com/113465419/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/117667299/Development_of_a_low_cost_optical_sensor_and_of_a_drone_system_for_the_monitoring_of_cyanobacteria_in_freshwater_ecosystems">Development of a low cost optical sensor and of a drone system for the monitoring of cyanobacteria in freshwater ecosystems</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cyanobacteria blooms frequently disturb the functioning of freshwater ecosystems and their uses, ...</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">Cyanobacteria blooms frequently disturb the functioning of freshwater ecosystems and their uses, due to the toxins dangerous to health that cyanobacteria are able to synthesize. Therefore, many countries have implemented monitoring programs aimed at reducing the risk of human exposure to these toxins. The main limitation is related to the heterogeneity of the spatial distribution of cyanobacteria. In the vertical dimension, these organisms can stay in different layers in the water column and in the horizontal scale, the cells may accumulate in some a rea of the water body, under the action of winds or currents. In an attempt to improve monitoring, many research projects have been undertaken in order to develop new tools, like buoys equipped with various underwater sensors. This tool is highly relevant but it does not allow assessing the horizontal distribution of cyanobacteria and its cost remains expensive. Moreover, if satellite remote sensing can be considered very useful for est...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="926bed4a206bbe2557755d1ab4a55d8f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:113465419,&quot;asset_id&quot;:117667299,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/113465419/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&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="117667299"><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="117667299"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 117667299; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=117667299]").text(description); $(".js-view-count[data-work-id=117667299]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 117667299; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='117667299']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 117667299, 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: "926bed4a206bbe2557755d1ab4a55d8f" } } $('.js-work-strip[data-work-id=117667299]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":117667299,"title":"Development of a low cost optical sensor and of a drone system for the monitoring of cyanobacteria in freshwater ecosystems","translated_title":"","metadata":{"abstract":"Cyanobacteria blooms frequently disturb the functioning of freshwater ecosystems and their uses, due to the toxins dangerous to health that cyanobacteria are able to synthesize. Therefore, many countries have implemented monitoring programs aimed at reducing the risk of human exposure to these toxins. The main limitation is related to the heterogeneity of the spatial distribution of cyanobacteria. In the vertical dimension, these organisms can stay in different layers in the water column and in the horizontal scale, the cells may accumulate in some a rea of the water body, under the action of winds or currents. In an attempt to improve monitoring, many research projects have been undertaken in order to develop new tools, like buoys equipped with various underwater sensors. This tool is highly relevant but it does not allow assessing the horizontal distribution of cyanobacteria and its cost remains expensive. Moreover, if satellite remote sensing can be considered very useful for est...","publication_date":{"day":null,"month":null,"year":2018,"errors":{}}},"translated_abstract":"Cyanobacteria blooms frequently disturb the functioning of freshwater ecosystems and their uses, due to the toxins dangerous to health that cyanobacteria are able to synthesize. Therefore, many countries have implemented monitoring programs aimed at reducing the risk of human exposure to these toxins. The main limitation is related to the heterogeneity of the spatial distribution of cyanobacteria. In the vertical dimension, these organisms can stay in different layers in the water column and in the horizontal scale, the cells may accumulate in some a rea of the water body, under the action of winds or currents. In an attempt to improve monitoring, many research projects have been undertaken in order to develop new tools, like buoys equipped with various underwater sensors. This tool is highly relevant but it does not allow assessing the horizontal distribution of cyanobacteria and its cost remains expensive. Moreover, if satellite remote sensing can be considered very useful for est...","internal_url":"https://www.academia.edu/117667299/Development_of_a_low_cost_optical_sensor_and_of_a_drone_system_for_the_monitoring_of_cyanobacteria_in_freshwater_ecosystems","translated_internal_url":"","created_at":"2024-04-18T00:17:54.281-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32856259,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113465419,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113465419/thumbnails/1.jpg","file_name":"document.pdf","download_url":"https://www.academia.edu/attachments/113465419/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Development_of_a_low_cost_optical_sensor.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113465419/document-libre.pdf?1713426538=\u0026response-content-disposition=attachment%3B+filename%3DDevelopment_of_a_low_cost_optical_sensor.pdf\u0026Expires=1732737161\u0026Signature=KkbU8CCW7Ut7gwlIVtLRuXpp5ICxd-yk9Oy-GDUtXrSX1sgAhv004JEzCNRDKwZonJvCx48RB7iioUXOWgTUj1UBqxSsyjaJqa4w2VcPmD3A8LZBnk-n70DRFQcF9snIE818SZl4tpOCPQ7Ix15itNgJwSZ7Q781NrxiLOrczcYfkfED0PeAHqQEpRzu9xm51MXiYYpY7dx-AMYte-7F9K93IBbwZbE1KGZhQaRbJdiptbXfoU51VrEZUA7vHTW75ZUMDSE9kndm~Off3AMp31bEZd1roQLK~XPuFt6fcsNiEugjyw0CZ8q1UMYIW4s5aLj~UWg8F44sM-38Pm7iUg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Development_of_a_low_cost_optical_sensor_and_of_a_drone_system_for_the_monitoring_of_cyanobacteria_in_freshwater_ecosystems","translated_slug":"","page_count":5,"language":"is","content_type":"Work","owner":{"id":32856259,"first_name":"Catherine","middle_initials":null,"last_name":"Quiblier","page_name":"CatherineQuiblier","domain_name":"independent","created_at":"2015-07-06T22:37:30.033-07:00","display_name":"Catherine Quiblier","url":"https://independent.academia.edu/CatherineQuiblier"},"attachments":[{"id":113465419,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113465419/thumbnails/1.jpg","file_name":"document.pdf","download_url":"https://www.academia.edu/attachments/113465419/download_file?st=MTczMjczNjAxOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Development_of_a_low_cost_optical_sensor.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113465419/document-libre.pdf?1713426538=\u0026response-content-disposition=attachment%3B+filename%3DDevelopment_of_a_low_cost_optical_sensor.pdf\u0026Expires=1732737161\u0026Signature=KkbU8CCW7Ut7gwlIVtLRuXpp5ICxd-yk9Oy-GDUtXrSX1sgAhv004JEzCNRDKwZonJvCx48RB7iioUXOWgTUj1UBqxSsyjaJqa4w2VcPmD3A8LZBnk-n70DRFQcF9snIE818SZl4tpOCPQ7Ix15itNgJwSZ7Q781NrxiLOrczcYfkfED0PeAHqQEpRzu9xm51MXiYYpY7dx-AMYte-7F9K93IBbwZbE1KGZhQaRbJdiptbXfoU51VrEZUA7vHTW75ZUMDSE9kndm~Off3AMp31bEZd1roQLK~XPuFt6fcsNiEugjyw0CZ8q1UMYIW4s5aLj~UWg8F44sM-38Pm7iUg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":9752,"name":"Cyanobacteria","url":"https://www.academia.edu/Documents/in/Cyanobacteria"},{"id":373754,"name":"Ecosystem","url":"https://www.academia.edu/Documents/in/Ecosystem"},{"id":612437,"name":"Drone","url":"https://www.academia.edu/Documents/in/Drone"},{"id":1211847,"name":"Wireless Sensor Network","url":"https://www.academia.edu/Documents/in/Wireless_Sensor_Network"}],"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="117667298"><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/117667298/Modelling_cyanobacteria_blooms_in_urban_lakes_Application_to_Lake_of_Enghien_les_Bains"><img alt="Research paper thumbnail of Modelling cyanobacteria blooms in urban lakes. Application to Lake of Enghien-les-Bains" class="work-thumbnail" src="https://attachments.academia-assets.com/113465349/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/117667298/Modelling_cyanobacteria_blooms_in_urban_lakes_Application_to_Lake_of_Enghien_les_Bains">Modelling cyanobacteria blooms in urban lakes. Application to Lake of Enghien-les-Bains</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The ecosystems in urban lakes are very vulnerable to human pressure because of their specific phy...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The ecosystems in urban lakes are very vulnerable to human pressure because of their specific physical functioning, characterized by intermittent thermal stratification and low flow speeds. Furthermore, the high intake of nutrients in these environments encourages blooms of phytoplankton, including toxic cyanobacteria, disrupting their use and causing health problems (Catherine et al., 2008). This work focuses on the implementation of a predictive model of cyanobacteria blooms in urban lakes. 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