{"corpus_id":254545773,"paper_sha":"726efce45ba94190bc680fd2ddb7064c24215b67","doi":"10.1007/s10750-012-1072-6","arxiv_id":null,"pmid":null,"pmcid":null,"mag_id":null,"dblp_id":null,"acl_id":null,"title":"The habitat template of phytoplankton morphology-based functional groups","year":2012,"publication_date":"2012-04-12","venue":"Hydrobiologia","journal":{"name":"Hydrobiologia","pages":"191 - 202","volume":"698"},"journal_issn":null,"journal_title":null,"publication_types":[],"pubmed_pub_types":null,"s2_fields_of_study":[],"reference_count":0,"citation_count":4,"influential_citation_count":0,"is_open_access":true,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":null,"chemicals":null,"comments_corrections":null,"source_flags":1,"s2_open_access_pdf_url":"http://repositorio.bc.ufg.br/tede/bitstream/tede/3175/5/Oliveira%2c%20Juliano%20Eduardo%20de.pdf","s2_open_access_landing_url":"https://www.semanticscholar.org/paper/726efce45ba94190bc680fd2ddb7064c24215b67","s2_open_access_license":"CCBYNCND","s2_open_access_status":"GREEN","pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"The identification of the main factors driving phytoplankton community structure is essential to understand and adequately manage freshwater ecosystems. We hypothesize that differences in morphological traits reflect phytoplankton functional properties that will be selected under particular environmental conditions, namely their habitat template. We apply a morphology-based functional groups (MBFG) approach to classify phytoplankton organisms and define each group template. We use machine learning techniques to classify a large number of phytoplankton communities and environmental variables from different climate zones and continents. Random forest analysis explained well the distribution of most groups’ biovolume and the selected variables reflected ecological preferences according to morphology. By means of a classification tree it was also possible to identify thresholds of the environmental variables promoting groups dominance in different lakes. For example group III (filaments with aerotopes and high surface/volume including potentially toxic species) was dominant when light attenuation coefficient was >3.9 m−1 and total nitrogen was >2,800 μg l−1. We demonstrate that morphology captures ecological preferences of phytoplankton groups and provides empirical values to describe their habitat template.","claims":[{"public_id":"cl_a703f0ddf19ebd269306a4e281ab76bf","status":"active","text":"Classification trees identified environmental-variable thresholds associated with group dominance in different lakes.","confidence":0.9,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_a703f0ddf19ebd269306a4e281ab76bf"},{"public_id":"cl_41f56fb97d3498c772b1d8e62036654c","status":"active","text":"Group III was dominant when the light attenuation coefficient exceeded 3.9 m−1 and total nitrogen exceeded 2,800 μg l−1.","confidence":0.95,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_41f56fb97d3498c772b1d8e62036654c"},{"public_id":"cl_8462d4026fb66f592d6d8708795621f0","status":"active","text":"Morphological traits capture the ecological preferences of phytoplankton functional groups and provide empirical values for describing their habitat template.","confidence":0.97,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_8462d4026fb66f592d6d8708795621f0"},{"public_id":"cl_e5b8507b18523ebe5ad3cdc28ab7b3df","status":"active","text":"Random forest analysis explained the distribution of most groups’ biovolume, and the selected variables reflected ecological preferences consistent with morphology.","confidence":0.91,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_e5b8507b18523ebe5ad3cdc28ab7b3df"}],"concepts":[{"public_id":"co_0b4dd415ba830b565493c2bb88fe1882","status":"active","name":"classification tree","description":"A decision-tree method used to identify thresholds that separate environmental conditions linked to group dominance.","types":["machine learning method","classification method"],"aliases":["decision tree"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_0b4dd415ba830b565493c2bb88fe1882"},{"public_id":"co_0c5ce474cad079ad728890ba49687e64","status":"active","name":"light attenuation coefficient","description":"A measure of how strongly water reduces light with depth.","types":["environmental variable"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_0c5ce474cad079ad728890ba49687e64"},{"public_id":"co_5224bc92b3f459f8d8359c02605375e5","status":"active","name":"phytoplankton functional groups","description":"Groups of phytoplankton organisms treated as units with shared ecological properties.","types":["ecological group"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_5224bc92b3f459f8d8359c02605375e5"},{"public_id":"co_7acffcc8cf1828feb00615e1fd01cfff","status":"active","name":"environmental variables","description":"Measured environmental factors from lakes used to characterize conditions across climate zones and continents.","types":["predictor variables"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_7acffcc8cf1828feb00615e1fd01cfff"},{"public_id":"co_9341cb845b51794f2da9826875a6db8c","status":"active","name":"biovolume","description":"The volume of phytoplankton biomass used here as a distributional response variable.","types":["ecological measurement"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_9341cb845b51794f2da9826875a6db8c"},{"public_id":"co_9a8f02cc6a386a6f5ca64d16cb38eff4","status":"active","name":"random forest analysis","description":"A machine-learning ensemble method using multiple decision trees for prediction or variable importance assessment.","types":["machine learning method","classification method"],"aliases":["random forest"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_9a8f02cc6a386a6f5ca64d16cb38eff4"},{"public_id":"co_9b074be45c78d4d5a9fd5290697ed9ca","status":"active","name":"groups dominance","description":"The dominance of a phytoplankton group within a lake community.","types":["ecological outcome"],"aliases":["group dominance"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_9b074be45c78d4d5a9fd5290697ed9ca"},{"public_id":"co_9cac0dc375a06dd0cc8f6e1649d170bf","status":"active","name":"habitat template","description":"The set of environmental conditions associated with the occurrence and dominance of a functional group.","types":["ecological concept"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_9cac0dc375a06dd0cc8f6e1649d170bf"},{"public_id":"co_a07a585ecceffa24e6e62a203ce81c98","status":"active","name":"total nitrogen","description":"The total concentration of nitrogen in the lake water.","types":["environmental variable"],"aliases":["TN"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_a07a585ecceffa24e6e62a203ce81c98"},{"public_id":"co_b61e2091c7183275ab062e0ce8041dc9","status":"active","name":"group III","description":"A morphology-based phytoplankton group characterized by filaments with aerotopes and high surface-to-volume ratio, including potentially toxic species.","types":["phytoplankton group"],"aliases":[],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_b61e2091c7183275ab062e0ce8041dc9"},{"public_id":"co_f8cf23d8206f7ab50f63c119625822f9","status":"active","name":"morphology-based functional groups","description":"A scheme that classifies phytoplankton organisms into groups based on morphological traits.","types":["classification scheme","ecological grouping"],"aliases":["MBFG"],"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/concepts/co_f8cf23d8206f7ab50f63c119625822f9"}],"external_ids":{"DOI":"10.1007/s10750-012-1072-6","ArXiv":null,"PubMed":null,"PubMedCentral":null,"MAG":null,"DBLP":null,"ACL":null},"open_access":{"is_open_access":true,"pdf_url":"http://repositorio.bc.ufg.br/tede/bitstream/tede/3175/5/Oliveira%2c%20Juliano%20Eduardo%20de.pdf","landing_url":"https://www.semanticscholar.org/paper/726efce45ba94190bc680fd2ddb7064c24215b67","source":"semantic_scholar","pdf_url_source":"semantic_scholar_open_access_pdf","license":"CCBYNCND","status":"GREEN","reason":null},"reference_availability":{"status":"unknown","references_indexed":false,"full_text_available":false,"full_text_source":null,"count_basis":"semantic_scholar_metadata","extraction_status":"not_applicable","reason":null},"source":{"provider":"episteme2","base_corpus":"semantic_scholar_dump","freshness_mode":"unknown","basis":["semantic_scholar_metadata","postgres_metadata"],"limits":["paper metadata is based on indexed upstream scholarly datasets","claims and concepts are available only for extracted papers","absence of claims or concepts means no extracted graph data is available in this response"],"status":"available","degraded":false,"degraded_reasons":[],"diagnostics":{"status":"available","degraded":false,"degraded_reasons":[],"metadata_status":"available","graph_status":"available","abstract_status":"available"},"source_flags":1},"paper_id":636724,"paper_uid":"84e51e09-2f8e-4db2-ab8f-5aed65b5c63f","canonical_identity":{"paper_id":636724,"paper_uid":"84e51e09-2f8e-4db2-ab8f-5aed65b5c63f","identity_status":"available","lookup_basis":"semantic_scholar_external_id","compatibility_path":"corpus_id"},"url":"https://sah.borca.ai/papers/254545773"}