{"id":"https://openalex.org/W2922264163","doi":"https://doi.org/10.1016/j.ecoinf.2019.03.003","title":"Optimizing sampling effort and information content of biodiversity surveys: a case study of alpine grassland","display_name":"Optimizing sampling effort and information content of biodiversity surveys: a case study of alpine grassland","publication_year":2019,"publication_date":"2019-03-14","ids":{"openalex":"https://openalex.org/W2922264163","doi":"https://doi.org/10.1016/j.ecoinf.2019.03.003","mag":"2922264163"},"language":"en","primary_location":{"id":"doi:10.1016/j.ecoinf.2019.03.003","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2019.03.003","pdf_url":"https://ars.els-cdn.com/content/image/1-s2.0-S1574954118302322-ga1_lrg.jpg","source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":false,"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":"hybrid","oa_url":"https://ars.els-cdn.com/content/image/1-s2.0-S1574954118302322-ga1_lrg.jpg","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028818736","display_name":"Samuel Hoffmann","orcid":"https://orcid.org/0000-0002-6176-8406"},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Samuel Hoffmann","raw_affiliation_strings":["University of Bayreuth, Biogeography, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6176-8406","affiliations":[{"raw_affiliation_string":"University of Bayreuth, Biogeography, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031127468","display_name":"Laura Steiner","orcid":null},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Laura Steiner","raw_affiliation_strings":["B\u00fcro f\u00fcr \u00d6kologische Studien, Bf\u00d6S, Oberkonnersreuther Str. 6a, D-95448 Bayreuth, Germany","University of Bayreuth, Biogeography, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"B\u00fcro f\u00fcr \u00d6kologische Studien, Bf\u00d6S, Oberkonnersreuther Str. 6a, D-95448 Bayreuth, Germany","institution_ids":[]},{"raw_affiliation_string":"University of Bayreuth, Biogeography, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037164854","display_name":"Andreas Schweiger","orcid":"https://orcid.org/0000-0003-2656-5918"},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas H. Schweiger","raw_affiliation_strings":["Bayreuth Center of Ecology and Environmental Research, BayCEER, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","University of Bayreuth, Plant Ecology, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2656-5918","affiliations":[{"raw_affiliation_string":"Bayreuth Center of Ecology and Environmental Research, BayCEER, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]},{"raw_affiliation_string":"University of Bayreuth, Plant Ecology, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080212261","display_name":"Alessandro Chiarucci","orcid":"https://orcid.org/0000-0003-1160-235X"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Chiarucci","raw_affiliation_strings":["Department of Biological, Geological, and Environmental Sciences, Alma Mater Studiorum \u2013 University of Bologna, Via Irnerio 42, 40126 Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biological, Geological, and Environmental Sciences, Alma Mater Studiorum \u2013 University of Bologna, Via Irnerio 42, 40126 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054949802","display_name":"Carl Beierkuhnlein","orcid":"https://orcid.org/0000-0002-6456-4628"},"institutions":[{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carl Beierkuhnlein","raw_affiliation_strings":["Bayreuth Center of Ecology and Environmental Research, BayCEER, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","Geographical Institute Bayreuth, GIB, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","University of Bayreuth, Biogeography, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bayreuth Center of Ecology and Environmental Research, BayCEER, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]},{"raw_affiliation_string":"Geographical Institute Bayreuth, GIB, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","institution_ids":[]},{"raw_affiliation_string":"University of Bayreuth, Biogeography, Universit\u00e4tsstr. 30, D-95447 Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028818736"],"corresponding_institution_ids":["https://openalex.org/I54009628"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":2.8096,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.90201799,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"51","issue":null,"first_page":"112","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9987000226974487,"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":0.9987000226974487,"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/T10005","display_name":"Ecology and Vegetation Dynamics Studies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T10199","display_name":"Wildlife Ecology and Conservation","score":0.9954000115394592,"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/species-richness","display_name":"Species richness","score":0.71711266040802},{"id":"https://openalex.org/keywords/quadrat","display_name":"Quadrat","score":0.7024561166763306},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6178008913993835},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6103067398071289},{"id":"https://openalex.org/keywords/biodiversity","display_name":"Biodiversity","score":0.565413773059845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5392178297042847},{"id":"https://openalex.org/keywords/grassland","display_name":"Grassland","score":0.47269654273986816},{"id":"https://openalex.org/keywords/global-biodiversity","display_name":"Global biodiversity","score":0.4426407217979431},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.41392314434051514},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.24971890449523926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.17592567205429077}],"concepts":[{"id":"https://openalex.org/C53565203","wikidata":"https://www.wikidata.org/wiki/Q17146659","display_name":"Species richness","level":2,"score":0.71711266040802},{"id":"https://openalex.org/C107394435","wikidata":"https://www.wikidata.org/wiki/Q1300585","display_name":"Quadrat","level":3,"score":0.7024561166763306},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6178008913993835},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6103067398071289},{"id":"https://openalex.org/C130217890","wikidata":"https://www.wikidata.org/wiki/Q47041","display_name":"Biodiversity","level":2,"score":0.565413773059845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5392178297042847},{"id":"https://openalex.org/C2775835988","wikidata":"https://www.wikidata.org/wiki/Q1006733","display_name":"Grassland","level":2,"score":0.47269654273986816},{"id":"https://openalex.org/C187604713","wikidata":"https://www.wikidata.org/wiki/Q5570810","display_name":"Global biodiversity","level":3,"score":0.4426407217979431},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.41392314434051514},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.24971890449523926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.17592567205429077},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2778091200","wikidata":"https://www.wikidata.org/wiki/Q42295","display_name":"Shrub","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.ecoinf.2019.03.003","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2019.03.003","pdf_url":"https://ars.els-cdn.com/content/image/1-s2.0-S1574954118302322-ga1_lrg.jpg","source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":false,"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:cris.unibo.it:11585/742693","is_oa":true,"landing_page_url":"http://hdl.handle.net/11585/742693","pdf_url":"https://cris.unibo.it/bitstream/11585/742693/1/Hoffmann%20et%20al.%20-%202019%20-%20Optimizing%20sampling%20effort%20and%20information%20content%20of%20biodiversity%20surveys%20a%20case%20study%20of%20alpine%20grassland.pdf","source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:3341225","is_oa":true,"landing_page_url":"https://zenodo.org/record/3341225","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ecological Informatics 51 112-120","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1016/j.ecoinf.2019.03.003","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2019.03.003","pdf_url":"https://ars.els-cdn.com/content/image/1-s2.0-S1574954118302322-ga1_lrg.jpg","source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":false,"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":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G814044907","display_name":null,"funder_award_id":"\u200e641762\u200e","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2922264163.pdf","grobid_xml":"https://content.openalex.org/works/W2922264163.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W1564371012","https://openalex.org/W1793984240","https://openalex.org/W1834602081","https://openalex.org/W1980222029","https://openalex.org/W1984715409","https://openalex.org/W1985734858","https://openalex.org/W1995875735","https://openalex.org/W1996480479","https://openalex.org/W2002303396","https://openalex.org/W2006690660","https://openalex.org/W2007814637","https://openalex.org/W2008933266","https://openalex.org/W2009879136","https://openalex.org/W2010436309","https://openalex.org/W2015454008","https://openalex.org/W2018204894","https://openalex.org/W2022009112","https://openalex.org/W2035341505","https://openalex.org/W2035688179","https://openalex.org/W2040766929","https://openalex.org/W2048677918","https://openalex.org/W2050253873","https://openalex.org/W2054330990","https://openalex.org/W2060614185","https://openalex.org/W2061608097","https://openalex.org/W2063975636","https://openalex.org/W2066518744","https://openalex.org/W2072811688","https://openalex.org/W2076715484","https://openalex.org/W2086043699","https://openalex.org/W2098012392","https://openalex.org/W2103336148","https://openalex.org/W2114373394","https://openalex.org/W2121209243","https://openalex.org/W2129056096","https://openalex.org/W2129735040","https://openalex.org/W2136464549","https://openalex.org/W2136539381","https://openalex.org/W2143639471","https://openalex.org/W2148216095","https://openalex.org/W2149247465","https://openalex.org/W2159324892","https://openalex.org/W2162305105","https://openalex.org/W2163403808","https://openalex.org/W2165866516","https://openalex.org/W2167503967","https://openalex.org/W2167830596","https://openalex.org/W2169286869","https://openalex.org/W2169345594","https://openalex.org/W2196454817","https://openalex.org/W2316678459","https://openalex.org/W2322459457","https://openalex.org/W2322480672","https://openalex.org/W2330000074","https://openalex.org/W2402615576","https://openalex.org/W2412580205","https://openalex.org/W2507742861","https://openalex.org/W2555102119","https://openalex.org/W2582743722","https://openalex.org/W2787978013","https://openalex.org/W2800682579","https://openalex.org/W2891979984","https://openalex.org/W2916387549","https://openalex.org/W2993383518","https://openalex.org/W3148637721","https://openalex.org/W4234074617","https://openalex.org/W4234637659","https://openalex.org/W4251733871","https://openalex.org/W4252891217","https://openalex.org/W4302781015","https://openalex.org/W4399637893","https://openalex.org/W6648982606","https://openalex.org/W6986864114"],"related_works":["https://openalex.org/W2082002940","https://openalex.org/W2529663620","https://openalex.org/W4313425285","https://openalex.org/W4210244717","https://openalex.org/W4378620047","https://openalex.org/W4317851212","https://openalex.org/W2138214350","https://openalex.org/W2467209196","https://openalex.org/W194899367","https://openalex.org/W2945765089"],"abstract_inverted_index":{"Current":[0],"rates":[1],"of":[2,33,44,67,106,125,166,174,207,210,293,298,309,314,360],"biodiversity":[3,388],"loss":[4],"do":[5],"not":[6],"allow":[7],"for":[8,120,222],"inefficient":[9],"monitoring.":[10],"Optimized":[11],"monitoring":[12,389],"maximizes":[13],"the":[14,29,62,169,208,213,219,257,265,270,327,344,355],"ratio":[15],"between":[16,326],"information":[17,52,141,147,197,223,335,348,365],"and":[18,23,31,42,65,115,123,151,159,164,172,183,191,242,268,278,339,358,390],"sampling":[19,34,45,68,345,368,384],"effort":[20,26],"(i.e.,":[21],"time":[22],"costs).":[24],"Sampling":[25],"increases":[27],"with":[28,203,232,366],"number":[30,43,66,165,173,184,209,308,313,357],"size":[32,41,64,163,171,182,216,221,234,262,272,297,359],"units.":[35],"We":[36,56,95,127],"hypothesize":[37],"that":[38,60,362],"an":[39,58,290,306,381],"optimal":[40,63,162,180,220,266,271,291,307,312,356],"units":[46],"can":[47,72,273,316,350,372],"be":[48,73,274,317,351,373],"determined":[49,186,255],"providing":[50],"maximal":[51,177],"via":[53],"minimal":[54],"effort.":[55,369],"apply":[57],"approach":[59,71,371],"identifies":[61],"quadrats.":[69],"The":[70,161,196,251,311,334],"adapted":[74,374],"to":[75,145,353,375,379],"any":[76],"study":[77,377],"system.":[78],"Here":[79],"we":[80,288,304],"focus":[81],"on":[82,343],"alpine":[83],"grassland,":[84],"a":[85,281,296,330],"diverse":[86],"but":[87],"threatened":[88],"ecosystem.":[89],"Gran":[90],"Paradiso":[91],"National":[92],"Park,":[93],"Italy.":[94],"sampled":[96],"nine":[97],"20":[98,101],"m":[99,109,136,283,286,300],"\u00d7":[100,110,137,284,301],"m-plots.":[102],"Each":[103],"plot":[104],"consisted":[105],"100":[107],"2":[108,111,135,138,282,285],"m-subplots.":[112,139],"Species":[113],"richness":[114,150,200,277,338],"Shannon":[116],"diversity":[117,152,229,340],"were":[118,240,249],"quantified":[119],"different":[121,156],"sizes":[122,131,158],"quantities":[124],"subplots.":[126,211],"simulated":[128],"larger":[129],"subplot":[130,157,181,204,215,233,252,261,332],"by":[132,187],"unifying":[133],"adjacent":[134],"Shannon\u2019s":[140,347],"entropy":[142,349],"was":[143,185],"used":[144,352],"quantify":[146],"content":[148,198,227,336],"among":[149,199,228,337],"values":[153,201,230,341],"resulting":[154],"from":[155],"quantities.":[160],"subplots":[167,175,239,248],"is":[168,218,264],"lowest":[170],"returning":[176],"information.":[178],"This":[179],"Mood\u2019s":[188],"median":[189],"test":[190],"segmented":[192],"linear":[193],"regression,":[194],"respectively.":[195],"increased":[202,231],"size,":[205,267,287],"irrespective":[206],"Therefore,":[212],"largest":[214,260],"available":[217,263],"about":[224],"richness.":[225],"Information":[226],"if":[235,244],"18":[236],"or":[237,259],"less":[238],"considered,":[241],"decreased":[243],"at":[245],"least":[246,367],"27":[247],"sampled.":[250],"quantity":[253,292],"consequently":[254],"whether":[256,269],"smallest":[258],"generalized":[275,318],"across":[276,319],"diversity.":[279],"Given":[280,295],"estimated":[289,305],"54.":[294],"4":[299,302],"m,":[303],"36.":[310],"plots":[315,361],"both":[320],"indices":[321,328],"because":[322],"it":[323],"barely":[324],"differed":[325],"given":[329],"fixed":[331],"size.":[333],"depends":[342],"scale.":[346],"identify":[354],"return":[363],"most":[364],"Our":[370],"other":[376],"systems":[378],"create":[380],"efficient":[382],"in-situ":[383],"design,":[385],"which":[386],"improves":[387],"conservation":[391],"under":[392],"rapid":[393],"environmental":[394],"change.":[395]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-09-08T07:41:39.490200","created_date":"2019-03-22T00:00:00"}