{"id":"https://openalex.org/W7133485974","doi":"https://doi.org/10.1016/j.ecoinf.2026.103690","title":"Machine learning reveals microclimate-specific drivers of a cosmopolitan supervector's population dynamics","display_name":"Machine learning reveals microclimate-specific drivers of a cosmopolitan supervector's population dynamics","publication_year":2026,"publication_date":"2026-03-01","ids":{"openalex":"https://openalex.org/W7133485974","doi":"https://doi.org/10.1016/j.ecoinf.2026.103690"},"language":"en","primary_location":{"id":"doi:10.1016/j.ecoinf.2026.103690","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103690","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","license_id":"https://openalex.org/licenses/cc-by","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.2026.103690","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080789276","display_name":"Arinder K. Arora","orcid":"https://orcid.org/0000-0002-3845-8362"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I98954095","display_name":"Amarillo College","ror":"https://ror.org/003frhn24","country_code":"US","type":"education","lineage":["https://openalex.org/I98954095"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arinder K. Arora","raw_affiliation_strings":["Department of Entomology, Texas A&M University, College Station, TX 77843, United States of America","Texas A&M AgriLife Research, Amarillo, TX 79016, USA"],"affiliations":[{"raw_affiliation_string":"Department of Entomology, Texas A&M University, College Station, TX 77843, United States of America","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Texas A&M AgriLife Research, Amarillo, TX 79016, USA","institution_ids":["https://openalex.org/I98954095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035227358","display_name":"N V Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I98954095","display_name":"Amarillo College","ror":"https://ror.org/003frhn24","country_code":"US","type":"education","lineage":["https://openalex.org/I98954095"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nolan Anderson","raw_affiliation_strings":["Department of Plant Pathology & Microbiology, Texas A&M University, College Station, TX 77843, United States of America","Texas A&M AgriLife Research, Amarillo, TX 79016, USA"],"affiliations":[{"raw_affiliation_string":"Department of Plant Pathology & Microbiology, Texas A&M University, College Station, TX 77843, United States of America","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Texas A&M AgriLife Research, Amarillo, TX 79016, USA","institution_ids":["https://openalex.org/I98954095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073908632","display_name":"Kiran R. Gadhave","orcid":"https://orcid.org/0000-0002-1787-0905"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I98954095","display_name":"Amarillo College","ror":"https://ror.org/003frhn24","country_code":"US","type":"education","lineage":["https://openalex.org/I98954095"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kiran R. Gadhave","raw_affiliation_strings":["Department of Entomology, Texas A&M University, College Station, TX 77843, United States of America","Texas A&M AgriLife Research, Amarillo, TX 79016, USA"],"affiliations":[{"raw_affiliation_string":"Department of Entomology, Texas A&M University, College Station, TX 77843, United States of America","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Texas A&M AgriLife Research, Amarillo, TX 79016, USA","institution_ids":["https://openalex.org/I98954095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073908632"],"corresponding_institution_ids":["https://openalex.org/I91045830","https://openalex.org/I98954095"],"apc_list":{"value":2510,"currency":"USD","value_usd":2510},"apc_paid":{"value":2510,"currency":"USD","value_usd":2510},"fwci":31.1287,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.99411484,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"94","issue":null,"first_page":"103690","last_page":"103690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10135","display_name":"Insect-Plant Interactions and Control","score":0.4724000096321106,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10135","display_name":"Insect-Plant Interactions and Control","score":0.4724000096321106,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.0828000009059906,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T12321","display_name":"Insect Pheromone Research and Control","score":0.08139999955892563,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7516000270843506},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6854000091552734},{"id":"https://openalex.org/keywords/abiotic-component","display_name":"Abiotic component","score":0.5957000255584717},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4203000068664551},{"id":"https://openalex.org/keywords/pest-analysis","display_name":"PEST analysis","score":0.38269999623298645},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.36059999465942383},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.34060001373291016}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7516000270843506},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6854000091552734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6758000254631042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.600600004196167},{"id":"https://openalex.org/C132215390","wikidata":"https://www.wikidata.org/wiki/Q461335","display_name":"Abiotic component","level":2,"score":0.5957000255584717},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.46630001068115234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4478999972343445},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C22508944","wikidata":"https://www.wikidata.org/wiki/Q568174","display_name":"PEST analysis","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C52079815","wikidata":"https://www.wikidata.org/wiki/Q7229808","display_name":"Population model","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C32957820","wikidata":"https://www.wikidata.org/wiki/Q215108","display_name":"Microclimate","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C77352025","wikidata":"https://www.wikidata.org/wiki/Q386191","display_name":"Population growth","level":3,"score":0.2791999876499176},{"id":"https://openalex.org/C59598135","wikidata":"https://www.wikidata.org/wiki/Q1049866","display_name":"Population ecology","level":3,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.ecoinf.2026.103690","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103690","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f366506b1e50457aab970cefcdb635bd","is_oa":true,"landing_page_url":"https://doaj.org/article/f366506b1e50457aab970cefcdb635bd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ecological Informatics, Vol 94, Iss , Pp 103690- (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.ecoinf.2026.103690","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103690","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308125","display_name":"Texas AgriLife Research","ror":"https://ror.org/01f5ytq51"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1267438978","https://openalex.org/W1492896485","https://openalex.org/W1775446822","https://openalex.org/W1831050183","https://openalex.org/W1984342236","https://openalex.org/W1987708328","https://openalex.org/W1989182209","https://openalex.org/W2006617902","https://openalex.org/W2014196618","https://openalex.org/W2021449219","https://openalex.org/W2032761588","https://openalex.org/W2051397555","https://openalex.org/W2062058910","https://openalex.org/W2088794999","https://openalex.org/W2118911862","https://openalex.org/W2128744916","https://openalex.org/W2151453985","https://openalex.org/W2178897831","https://openalex.org/W2334379492","https://openalex.org/W2346712671","https://openalex.org/W2524609460","https://openalex.org/W2891603302","https://openalex.org/W2911964244","https://openalex.org/W2973492100","https://openalex.org/W3002779440","https://openalex.org/W3007122224","https://openalex.org/W3129349936","https://openalex.org/W3157283511","https://openalex.org/W3171924875","https://openalex.org/W3191198889","https://openalex.org/W3195715972","https://openalex.org/W4206001019","https://openalex.org/W4210441945","https://openalex.org/W4221113769","https://openalex.org/W4289443659","https://openalex.org/W4309247520","https://openalex.org/W4319758665","https://openalex.org/W4324129320","https://openalex.org/W4385962886","https://openalex.org/W4387213084","https://openalex.org/W4392761974","https://openalex.org/W4396753601","https://openalex.org/W4399532318","https://openalex.org/W4399915034","https://openalex.org/W4400084609","https://openalex.org/W4400260232","https://openalex.org/W4402901597","https://openalex.org/W4405852145","https://openalex.org/W4412170924","https://openalex.org/W4415023918"],"related_works":[],"abstract_inverted_index":{"Forecasting":[0],"pest":[1,136,233],"population":[2,27,79,102,160,172,212,216],"dynamics":[3,28,137],"under":[4,96],"variable":[5],"microclimates":[6],"is":[7],"essential":[8],"for":[9,210],"understanding":[10,157],"and":[11,39,54,60,68,75,103,112,154,174,199,217,227],"managing":[12],"ecological":[13,133,166],"interactions":[14,150],"in":[15,88,119,126,138,201],"agroecosystems.":[16,184],"In":[17],"this":[18],"study,":[19],"we":[20,58],"employed":[21],"machine":[22,145],"learning":[23,146,187],"to":[24,50,71,123,177],"model":[25],"the":[26,84,127,207],"of":[29,78,158,222],"a":[30],"cosmopolitan":[31],"supervector":[32],"across":[33,182],"two":[34],"contrasting":[35],"production":[36],"environments\u2014open":[37],"fields":[38,90],"high":[40],"tunnels.":[41],"Using":[42],"data":[43],"from":[44],"1686":[45],"weekly":[46],"trap":[47],"observations":[48],"(standardized":[49],"2254":[51],"modeling":[52,176],"units)":[53],"16":[55],"environmental":[56,152,170],"predictors,":[57,109],"developed":[59],"compared":[61],"Random":[62,81,195],"Forest,":[63],"Gradient":[64],"Boosting":[65],"Machine":[66,186],"(GBM),":[67],"XGBoost":[69,93,200,205],"models":[70,188],"identify":[72],"key":[73,220],"abiotic":[74],"biotic":[76],"drivers":[77],"fluctuations.":[80],"Forest":[82,196],"achieved":[83,206],"highest":[85,208],"predictive":[86,156],"accuracy":[87,209],"open":[89],"(87.7%),":[91],"while":[92],"performed":[94],"best":[95],"high-tunnel":[97,211,228],"conditions":[98],"(84.9%).":[99],"Parent":[100,215],"(seed)":[101],"temperature":[104,218],"consistently":[105],"emerged":[106],"as":[107,231],"dominant":[108],"with":[110],"humidity":[111],"wind":[113],"showing":[114],"secondary":[115],"effects.":[116],"Models":[117],"trained":[118],"one":[120],"microclimate":[121],"failed":[122],"predict":[124],"populations":[125],"other":[128],"(\u226444%":[129],"accuracy),":[130],"revealing":[131],"distinct":[132,232],"processes":[134],"governing":[135],"adjacent":[139],"systems.":[140],"These":[141],"results":[142],"demonstrate":[143],"that":[144],"can":[147,168],"disentangle":[148],"nonlinear":[149],"among":[151],"variables":[153],"improve":[155],"vector":[159],"ecology.":[161],"Our":[162],"framework":[163],"illustrates":[164],"how":[165],"informatics":[167],"integrate":[169],"sensing,":[171],"monitoring,":[173],"data-driven":[175],"forecast":[178,190],"biologically":[179],"meaningful":[180],"patterns":[181],"heterogeneous":[183],"\u2022":[185,194,204,214,225],"accurately":[189],"Frankliniella":[191],"occidentalis":[192],"populations.":[193],"outperformed":[197],"GBM":[198],"open-field":[202],"conditions.":[203],"prediction.":[213],"were":[219],"predictors":[221],"thrips":[223],"severity.":[224],"Field":[226],"systems":[229],"function":[230],"micro-ecosystems.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2026-03-05T00:00:00"}
