{"id":"https://openalex.org/W7151023538","doi":"https://doi.org/10.1016/j.ecoinf.2026.103756","title":"Supporting ecological restoration: leveraging satellite data and machine learning to map invasive alien tree biomass","display_name":"Supporting ecological restoration: leveraging satellite data and machine learning to map invasive alien tree biomass","publication_year":2026,"publication_date":"2026-04-06","ids":{"openalex":"https://openalex.org/W7151023538","doi":"https://doi.org/10.1016/j.ecoinf.2026.103756"},"language":"en","primary_location":{"id":"doi:10.1016/j.ecoinf.2026.103756","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103756","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.2026.103756","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115561240","display_name":"Liam Sean Cogill","orcid":"https://orcid.org/0009-0006-9908-1198"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]},{"id":"https://openalex.org/I2800278093","display_name":"Sony Corporation (United States)","ror":"https://ror.org/05k91zb11","country_code":"US","type":"company","lineage":["https://openalex.org/I2800278093"]},{"id":"https://openalex.org/I4210125105","display_name":"Consiglio per la ricerca in agricoltura e l\u2019analisi dell\u2019economia agraria","ror":"https://ror.org/0327f2m07","country_code":"IT","type":"government","lineage":["https://openalex.org/I4210125105"]}],"countries":["IT","US","ZA"],"is_corresponding":true,"raw_author_name":"Liam S. Cogill","raw_affiliation_strings":["ASSET Research (Africa's Search for Sound Economic Trajectories), Farm 159, Knysna Road, Knysna District, South Africa","Agricultural Research Council, Natural Resources and Engineering, Water Science Unit, Cedara Research Station, 3245, KwaZulu-Natal, South Africa","Stellenbosch University, Conservation Ecology and Entomology Department, Private Bag X1, Stellenbosch 7599, South Africa"],"affiliations":[{"raw_affiliation_string":"ASSET Research (Africa's Search for Sound Economic Trajectories), Farm 159, Knysna Road, Knysna District, South Africa","institution_ids":["https://openalex.org/I2800278093"]},{"raw_affiliation_string":"Agricultural Research Council, Natural Resources and Engineering, Water Science Unit, Cedara Research Station, 3245, KwaZulu-Natal, South Africa","institution_ids":["https://openalex.org/I4210125105"]},{"raw_affiliation_string":"Stellenbosch University, Conservation Ecology and Entomology Department, Private Bag X1, Stellenbosch 7599, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133038505","display_name":"Karen J. Esler","orcid":null},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Karen J. Esler","raw_affiliation_strings":["Centre for Invasion Biology, Stellenbosch University, 7602 Stellenbosch, South Africa","Stellenbosch University, Conservation Ecology and Entomology Department, Private Bag X1, Stellenbosch 7599, South Africa"],"affiliations":[{"raw_affiliation_string":"Centre for Invasion Biology, Stellenbosch University, 7602 Stellenbosch, South Africa","institution_ids":["https://openalex.org/I26092322"]},{"raw_affiliation_string":"Stellenbosch University, Conservation Ecology and Entomology Department, Private Bag X1, Stellenbosch 7599, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004803712","display_name":"Laven Naidoo","orcid":"https://orcid.org/0000-0002-7091-0566"},"institutions":[{"id":"https://openalex.org/I192619145","display_name":"University of the Witwatersrand","ror":"https://ror.org/03rp50x72","country_code":"ZA","type":"education","lineage":["https://openalex.org/I192619145"]},{"id":"https://openalex.org/I2800683076","display_name":"Government of South Africa","ror":"https://ror.org/01gwm7a05","country_code":"ZA","type":"government","lineage":["https://openalex.org/I2800683076"]},{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Laven Naidoo","raw_affiliation_strings":["Department of Geography, Geoinformatics & Meteorology, University of Pretoria, Private Bag X20, Hatfield, 0028 Pretoria, South Africa","Gauteng City-Region Observatory (GCRO), a Partnership of the University of Johannesburg, the University of the Witwatersrand, the Gauteng Provincial Government and Organised Local Government in Gauteng (SALGA), 2000 Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Geography, Geoinformatics & Meteorology, University of Pretoria, Private Bag X20, Hatfield, 0028 Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Gauteng City-Region Observatory (GCRO), a Partnership of the University of Johannesburg, the University of the Witwatersrand, the Gauteng Provincial Government and Organised Local Government in Gauteng (SALGA), 2000 Johannesburg, South Africa","institution_ids":["https://openalex.org/I2800683076","https://openalex.org/I192619145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017575839","display_name":"Alanna J. Rebelo","orcid":"https://orcid.org/0000-0002-7544-9895"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]},{"id":"https://openalex.org/I2800278093","display_name":"Sony Corporation (United States)","ror":"https://ror.org/05k91zb11","country_code":"US","type":"company","lineage":["https://openalex.org/I2800278093"]},{"id":"https://openalex.org/I4210125105","display_name":"Consiglio per la ricerca in agricoltura e l\u2019analisi dell\u2019economia agraria","ror":"https://ror.org/0327f2m07","country_code":"IT","type":"government","lineage":["https://openalex.org/I4210125105"]}],"countries":["IT","US","ZA"],"is_corresponding":false,"raw_author_name":"Alanna J. Rebelo","raw_affiliation_strings":["ASSET Research (Africa's Search for Sound Economic Trajectories), Farm 159, Knysna Road, Knysna District, South Africa","Agricultural Research Council, Natural Resources and Engineering, Water Science Unit, Cedara Research Station, 3245, KwaZulu-Natal, South Africa","Stellenbosch University, Conservation Ecology and Entomology Department, Private Bag X1, Stellenbosch 7599, South Africa"],"affiliations":[{"raw_affiliation_string":"ASSET Research (Africa's Search for Sound Economic Trajectories), Farm 159, Knysna Road, Knysna District, South Africa","institution_ids":["https://openalex.org/I2800278093"]},{"raw_affiliation_string":"Agricultural Research Council, Natural Resources and Engineering, Water Science Unit, Cedara Research Station, 3245, KwaZulu-Natal, South Africa","institution_ids":["https://openalex.org/I4210125105"]},{"raw_affiliation_string":"Stellenbosch University, Conservation Ecology and Entomology Department, Private Bag X1, Stellenbosch 7599, South Africa","institution_ids":["https://openalex.org/I26092322"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115561240"],"corresponding_institution_ids":["https://openalex.org/I26092322","https://openalex.org/I2800278093","https://openalex.org/I4210125105"],"apc_list":{"value":2510,"currency":"USD","value_usd":2510},"apc_paid":{"value":2510,"currency":"USD","value_usd":2510},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93185921,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"95","issue":null,"first_page":"103756","last_page":"103756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.28870001435279846,"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"}},"topics":[{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.28870001435279846,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.09799999743700027,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.05130000039935112,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/biomass","display_name":"Biomass (ecology)","score":0.5982999801635742},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5425999760627747},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5034000277519226},{"id":"https://openalex.org/keywords/alien","display_name":"Alien","score":0.4366999864578247},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4092999994754791},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.34880000352859497},{"id":"https://openalex.org/keywords/invasive-species","display_name":"Invasive species","score":0.3206999897956848}],"concepts":[{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.5982999801635742},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5185999870300293},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5034000277519226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46970000863075256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4666000008583069},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.4404999911785126},{"id":"https://openalex.org/C200724805","wikidata":"https://www.wikidata.org/wiki/Q1990792","display_name":"Alien","level":4,"score":0.4366999864578247},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.421999990940094},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C136020623","wikidata":"https://www.wikidata.org/wiki/Q183368","display_name":"Invasive species","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C2992167242","wikidata":"https://www.wikidata.org/wiki/Q1065449","display_name":"Alien species","level":3,"score":0.31150001287460327},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.3075000047683716},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.295199990272522},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.29280000925064087},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C36811481","wikidata":"https://www.wikidata.org/wiki/Q5333246","display_name":"Ecological network","level":3,"score":0.26350000500679016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.ecoinf.2026.103756","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103756","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"}],"best_oa_location":{"id":"doi:10.1016/j.ecoinf.2026.103756","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103756","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":[{"score":0.6672770977020264,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W1858641767","https://openalex.org/W1969325317","https://openalex.org/W1977429110","https://openalex.org/W1983843747","https://openalex.org/W1984670836","https://openalex.org/W1991246708","https://openalex.org/W1996109709","https://openalex.org/W2010858133","https://openalex.org/W2011301426","https://openalex.org/W2048120915","https://openalex.org/W2056523510","https://openalex.org/W2063907334","https://openalex.org/W2068178672","https://openalex.org/W2074160329","https://openalex.org/W2084744129","https://openalex.org/W2105593416","https://openalex.org/W2106475016","https://openalex.org/W2113249705","https://openalex.org/W2113410727","https://openalex.org/W2117456634","https://openalex.org/W2118472888","https://openalex.org/W2135135193","https://openalex.org/W2142099870","https://openalex.org/W2156182980","https://openalex.org/W2261059368","https://openalex.org/W2416310637","https://openalex.org/W2521330078","https://openalex.org/W2547354958","https://openalex.org/W2568629132","https://openalex.org/W2585059341","https://openalex.org/W2600714478","https://openalex.org/W2621834993","https://openalex.org/W2725897987","https://openalex.org/W2776203602","https://openalex.org/W2888758319","https://openalex.org/W2890183925","https://openalex.org/W2897285410","https://openalex.org/W2902419401","https://openalex.org/W2914936460","https://openalex.org/W2921016043","https://openalex.org/W2923855660","https://openalex.org/W2996306342","https://openalex.org/W3006369642","https://openalex.org/W3010665853","https://openalex.org/W3023550347","https://openalex.org/W3035965352","https://openalex.org/W3037105506","https://openalex.org/W3092457319","https://openalex.org/W3140410574","https://openalex.org/W3150635270","https://openalex.org/W3163231391","https://openalex.org/W3165750632","https://openalex.org/W3169785445","https://openalex.org/W3177350198","https://openalex.org/W3195841845","https://openalex.org/W4205698403","https://openalex.org/W4206276195","https://openalex.org/W4280634124","https://openalex.org/W4296432425","https://openalex.org/W4313293079","https://openalex.org/W4319339192","https://openalex.org/W4363648147","https://openalex.org/W4378229303","https://openalex.org/W4379197701","https://openalex.org/W4383341699","https://openalex.org/W4385317787","https://openalex.org/W4386525750","https://openalex.org/W4387781268","https://openalex.org/W4387910524","https://openalex.org/W4388275629","https://openalex.org/W4388448546","https://openalex.org/W4389671030","https://openalex.org/W4390588269","https://openalex.org/W4391225754","https://openalex.org/W4391683498","https://openalex.org/W4399499633","https://openalex.org/W4399810930","https://openalex.org/W4399852347","https://openalex.org/W4405186116","https://openalex.org/W4405639952","https://openalex.org/W4406787884","https://openalex.org/W4407229816","https://openalex.org/W4408242461","https://openalex.org/W4409095149","https://openalex.org/W4414077969","https://openalex.org/W4414119370"],"related_works":[],"abstract_inverted_index":{"Invasive":[0],"alien":[1,22,53,193,208,260],"trees":[2,23,194],"pose":[3],"significant":[4,14],"ecological":[5,205],"and":[6,13,78,80,102,106,115,134,136,219,292,306],"economic":[7],"threats":[8],"globally,":[9],"including":[10],"biodiversity":[11],"impacts,":[12],"water":[15],"consumption.":[16],"However,":[17],"the":[18,29,44,120,125,138,187,197,213,220,232,239,247],"biomass":[19,55,105,200,226,263,281],"of":[20,32,36,43,90,189,191,199,241,313],"invasive":[21,52,192,259],"presents":[24,41],"an":[25],"opportunity":[26],"to":[27,180,225,267,278,320],"offset":[28],"high":[30],"costs":[31],"clearing":[33,190,210],"as":[34],"part":[35],"restoration":[37,206,216],"programmes.":[38],"This":[39,168,202,235],"study":[40],"one":[42],"first":[45],"repeatable,":[46],"regional-scale":[47],"modelling":[48],"frameworks":[49],"for":[50,112,228,244,315],"estimating":[51],"tree":[54,209,261],"at":[56],"a":[57,127],"25":[58],"m":[59,283],"resolution.":[60],"The":[61,117],"framework":[62,184],"evaluated":[63],"several":[64],"machine":[65],"learning":[66,272],"algorithms":[67],"(Random":[68],"Forest,":[69],"Neural":[70],"Networks,":[71],"Support":[72],"Vector":[73],"Machine,":[74],"Gradient":[75],"Tree":[76],"Boost":[77],"Classification":[79],"Regression":[81],"Tree)":[82],"within":[83],"various":[84],"model":[85,113,118,128,169,279,288,300,322],"configurations":[86,289],"using":[87,137,301],"different":[88],"combinations":[89],"predictors":[91,130,275,302],"from":[92,131,303],"satellite":[93,274],"sensors/data":[94],"products":[95],"(Sentinel-1,":[96],"Sentinel-2,":[97,133,305],"GEDI,":[98],"Global":[99,248],"Canopy":[100],"Height,":[101],"SRTM).":[103],"Field-measured":[104],"airborne":[107],"lidar":[108],"data":[109],"were":[110,276,290,318],"used":[111,277],"training":[114],"validation.":[116],"with":[119,250,273],"best":[121],"performance":[122],"was":[123,170],"also":[124],"simplest,":[126],"integrating":[129],"Sentinel-1,":[132,304],"SRTM":[135,307],"Random":[139],"Forest":[140],"classifier":[141],"(validation:":[142],"r":[143,157],"s":[144,158],"=":[145,149,152,159,163,166],"0.72;":[146],"R":[147,161],"2":[148,162,284],"0.52;":[150],"RMSE":[151],"0.89":[153],"t/pixel;":[154],"independent":[155],"ground-truthing:":[156],"0.96;":[160],"0.70;":[164],"rRMSE":[165],"59.95%).":[167],"applied":[171],"across":[172],"three":[173,316],"bioclimatically":[174],"distinct":[175],"catchments":[176,317],"in":[177,223,294],"southern":[178,295],"Africa":[179],"demonstrate":[181],"how":[182],"this":[183],"can":[185],"inform":[186],"prioritisation":[188],"based":[195],"on":[196,253],"maximisation":[198],"extraction.":[201],"research":[203],"supports":[204],"through":[207],"by":[211],"bridging":[212],"gap":[214],"between":[215],"practitioners,":[217],"decision-makers":[218],"private":[221],"sector":[222,255],"relation":[224],"extraction,":[227],"green":[229],"biofuels":[230],"or":[231],"biochar":[233],"industry.":[234],"work":[236],"could":[237],"support":[238,268],"leveraging":[240],"alternative":[242],"finances":[243],"restoration,":[245],"assisting":[246],"South":[249],"reducing":[251],"reliance":[252],"public":[254],"funding.":[256],"\u2022":[257,270,286,297,310],"Regional":[258],"(IAT)":[262],"maps":[264,312],"are":[265],"required":[266],"restoration.":[269],"Machine":[271],"IAT":[280],"(t/25":[282],").":[285],"Different":[287],"validated":[291],"ground-truthed":[293],"Africa.":[296],"A":[298],"RF":[299],"performed":[308],"best.":[309],"Biomass":[311],"IATs":[314],"produced":[319],"illustrate":[321],"utility.":[323]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2026-04-07T00:00:00"}