{"id":"https://openalex.org/W7118172071","doi":"https://doi.org/10.1016/j.ecoinf.2026.103596","title":"Predicting phytoplankton community in a large floodplain lake using interpretable machine learning","display_name":"Predicting phytoplankton community in a large floodplain lake using interpretable machine learning","publication_year":2026,"publication_date":"2026-01-04","ids":{"openalex":"https://openalex.org/W7118172071","doi":"https://doi.org/10.1016/j.ecoinf.2026.103596"},"language":"en","primary_location":{"id":"doi:10.1016/j.ecoinf.2026.103596","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103596","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.ecoinf.2026.103596","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040589147","display_name":"Xi Luo","orcid":"https://orcid.org/0000-0001-6654-5087"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Luo","raw_affiliation_strings":["College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062332139","display_name":"Haibin Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Cai","raw_affiliation_strings":["College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102916241","display_name":"Jingqiao Mao","orcid":"https://orcid.org/0000-0001-5098-7809"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingqiao Mao","raw_affiliation_strings":["College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102916241"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":{"value":2510,"currency":"USD","value_usd":2510},"apc_paid":{"value":2510,"currency":"USD","value_usd":2510},"fwci":5.1894,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88678565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"93","issue":null,"first_page":"103596","last_page":"103596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10236","display_name":"Aquatic Ecosystems and Phytoplankton Dynamics","score":0.8547999858856201,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10236","display_name":"Aquatic Ecosystems and Phytoplankton Dynamics","score":0.8547999858856201,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.05550000071525574,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.019899999722838402,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/phytoplankton","display_name":"Phytoplankton","score":0.9430999755859375},{"id":"https://openalex.org/keywords/hydrometeorology","display_name":"Hydrometeorology","score":0.8307999968528748},{"id":"https://openalex.org/keywords/floodplain","display_name":"Floodplain","score":0.6425999999046326},{"id":"https://openalex.org/keywords/biomass","display_name":"Biomass (ecology)","score":0.5605000257492065},{"id":"https://openalex.org/keywords/eutrophication","display_name":"Eutrophication","score":0.5174000263214111},{"id":"https://openalex.org/keywords/ecological-succession","display_name":"Ecological succession","score":0.45750001072883606},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.44830000400543213}],"concepts":[{"id":"https://openalex.org/C2780892065","wikidata":"https://www.wikidata.org/wiki/Q184755","display_name":"Phytoplankton","level":3,"score":0.9430999755859375},{"id":"https://openalex.org/C100725284","wikidata":"https://www.wikidata.org/wiki/Q1045317","display_name":"Hydrometeorology","level":3,"score":0.8307999968528748},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7027999758720398},{"id":"https://openalex.org/C155681218","wikidata":"https://www.wikidata.org/wiki/Q193110","display_name":"Floodplain","level":2,"score":0.6425999999046326},{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.5605000257492065},{"id":"https://openalex.org/C186699998","wikidata":"https://www.wikidata.org/wiki/Q156698","display_name":"Eutrophication","level":3,"score":0.5174000263214111},{"id":"https://openalex.org/C150117547","wikidata":"https://www.wikidata.org/wiki/Q188230","display_name":"Ecological succession","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.44830000400543213},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.4438000023365021},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.3440000116825104},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.3294000029563904},{"id":"https://openalex.org/C168956269","wikidata":"https://www.wikidata.org/wiki/Q3150128","display_name":"Ecological indicator","level":3,"score":0.3075999915599823},{"id":"https://openalex.org/C129934472","wikidata":"https://www.wikidata.org/wiki/Q3578576","display_name":"River ecosystem","level":3,"score":0.3059999942779541},{"id":"https://openalex.org/C42088612","wikidata":"https://www.wikidata.org/wiki/Q3229532","display_name":"Lake ecosystem","level":3,"score":0.30169999599456787},{"id":"https://openalex.org/C108469399","wikidata":"https://www.wikidata.org/wiki/Q25367","display_name":"Plankton","level":2,"score":0.28839999437332153}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.ecoinf.2026.103596","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103596","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec916848a9e247099dfed87880a52555","is_oa":true,"landing_page_url":"https://doaj.org/article/ec916848a9e247099dfed87880a52555","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ecological Informatics, Vol 93, Iss , Pp 103596- (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.ecoinf.2026.103596","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103596","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5851578116416931}],"awards":[{"id":"https://openalex.org/G6232110610","display_name":null,"funder_award_id":"52279013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8614835950","display_name":null,"funder_award_id":"202325ZDKT08","funder_id":"https://openalex.org/F4320326696","funder_display_name":"Jiangxi Provincial Department of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326696","display_name":"Jiangxi Provincial Department of Science and Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1024024925","https://openalex.org/W1145321339","https://openalex.org/W1256227820","https://openalex.org/W1843657913","https://openalex.org/W1966808625","https://openalex.org/W1976651767","https://openalex.org/W2000826498","https://openalex.org/W2002924472","https://openalex.org/W2017460846","https://openalex.org/W2017858719","https://openalex.org/W2022217278","https://openalex.org/W2061349910","https://openalex.org/W2113162751","https://openalex.org/W2125303562","https://openalex.org/W2167705142","https://openalex.org/W2275776121","https://openalex.org/W2303933501","https://openalex.org/W2347420599","https://openalex.org/W2471102910","https://openalex.org/W2505770004","https://openalex.org/W2516687613","https://openalex.org/W2530225286","https://openalex.org/W2559346515","https://openalex.org/W2766940243","https://openalex.org/W2804600370","https://openalex.org/W2911964244","https://openalex.org/W2946572392","https://openalex.org/W2955690319","https://openalex.org/W3001710857","https://openalex.org/W3040633104","https://openalex.org/W3044787168","https://openalex.org/W3048330457","https://openalex.org/W3210425555","https://openalex.org/W3216836874","https://openalex.org/W4200116793","https://openalex.org/W4210546443","https://openalex.org/W4220718783","https://openalex.org/W4281886187","https://openalex.org/W4389004577","https://openalex.org/W4390483225"],"related_works":[],"abstract_inverted_index":{"Floodplain":[0],"lakes":[1],"are":[2,14],"highly":[3],"dynamic":[4],"ecosystems":[5],"where":[6],"hydrological":[7,144],"fluctuations":[8],"drive":[9],"complex":[10],"phytoplankton":[11,30,62,115,134,148,164,192,197],"responses":[12],"that":[13,98],"challenging":[15],"to":[16,28,52],"predict.":[17],"In":[18],"this":[19],"study,":[20],"a":[21,167],"random":[22],"forest":[23],"(RF)":[24],"framework":[25,162],"was":[26],"developed":[27],"predict":[29],"succession":[31],"in":[32,39,136,146,157,166],"Poyang":[33,137,158],"Lake,":[34,138],"the":[35,66,110,140,176],"largest":[36],"freshwater":[37],"lake":[38],"China,":[40],"using":[41],"integrated":[42],"hydrological,":[43],"hydrodynamic,":[44],"meteorological,":[45],"and":[46,105,121,150],"physicochemical":[47],"data":[48],"collected":[49],"from":[50],"2019":[51],"2021.":[53],"The":[54],"RF":[55,177],"models":[56],"exhibited":[57],"robust":[58],"predictive":[59],"performance,":[60],"with":[61],"density":[63,181],"identified":[64],"as":[65],"most":[67],"reliable":[68],"indicator":[69,182],"for":[70,154],"capturing":[71],"community":[72,126,165,198],"variability":[73],"(R":[74,81,87],"2":[75,82,88],"=":[76,83,89],"0.62\u20130.75),":[77],"higher":[78],"than":[79],"biomass":[80],"0.47\u20130.72)":[84],"or":[85],"Chlorophyll-a":[86],"0.70).":[90],"SHapley":[91],"Additive":[92],"exPlanations":[93],"(SHAP)":[94],"analysis":[95],"further":[96],"revealed":[97],"lagged":[99],"hydrometeorological":[100,187],"conditions,":[101],"specifically":[102],"30-day":[103],"inflow":[104],"15-day":[106],"cumulative":[107],"precipitation,":[108],"were":[109],"dominant":[111],"drivers":[112],"of":[113,143],"total":[114,191],"density,":[116],"whereas":[117],"suspended":[118],"solids":[119],"(SS)":[120],"time":[122],"period":[123],"primarily":[124],"influenced":[125],"composition.":[127],"These":[128],"findings":[129],"provide":[130],"novel":[131],"insights":[132],"into":[133,175],"studies":[135],"emphasize":[139],"key":[141],"role":[142],"lags":[145],"shaping":[147],"dynamics,":[149],"offer":[151],"theoretical":[152],"support":[153],"eutrophication":[155],"management":[156],"Lake.":[159],"\u2022":[160,170,179,185,194],"RF-SHAP":[161],"predicted":[163],"floodplain":[168],"lake.":[169],"Integrated":[171],"multi-type":[172],"driving":[173],"factors":[174],"models.":[178],"Phytoplankton":[180],"outperformed":[183],"biomass.":[184],"Previous":[186],"conditions":[188],"mainly":[189],"drove":[190],"density.":[193],"SS":[195],"dominated":[196],"composition":[199],"variation.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-10T23:39:48.068659","created_date":"2026-01-05T00:00:00"}
