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dc.contributor.authorSutton, L
dc.contributor.authorAnderson, D
dc.contributor.authorFranco, Miguel
dc.contributor.authorMcClure, C
dc.contributor.authorMiranda, E
dc.contributor.authorVargas, H
dc.contributor.authorVargas González, J
dc.contributor.authorPuschendorf, Robert
dc.date.accessioned2020-11-14T14:50:08Z
dc.date.issued2020-12-15
dc.identifier.issn2045-7758
dc.identifier.issn2045-7758
dc.identifier.other0
dc.identifier.urihttp://hdl.handle.net/10026.1/16654
dc.description.abstract

<jats:title>Abstract</jats:title><jats:p>Understanding species–environment relationships is key to defining the spatial structure of species distributions and develop effective conservation plans. However, for many species, this baseline information does not exist. With reliable presence data, spatial models that predict geographic ranges and identify environmental processes regulating distribution are a cost‐effective and rapid method to achieve this. Yet these spatial models are lacking for many rare and threatened species, particularly in tropical regions. The harpy eagle (<jats:italic>Harpia harpyja</jats:italic>) is a Neotropical forest raptor of conservation concern with a continental distribution across lowland tropical forests in Central and South America. Currently, the harpy eagle faces threats from habitat loss and persecution and is categorized as Near‐Threatened by the International Union for the Conservation of Nature (IUCN). Within a point process modeling (PPM) framework, we use presence‐only occurrences with climatic and topographical predictors to estimate current and past distributions and define environmental requirements using Ecological Niche Factor Analysis. The current PPM prediction had high calibration accuracy (Continuous Boyce Index = 0.838) and was robust to null expectations (pROC ratio = 1.407). Three predictors contributed 96% to the PPM prediction, with Climatic Moisture Index the most important (72.1%), followed by minimum temperature of the warmest month (15.6%) and Terrain Roughness Index (8.3%). Assessing distribution in environmental space confirmed the same predictors explaining distribution, along with precipitation in the wettest month. Our reclassified binary model estimated a current range size 11% smaller than the current IUCN range polygon. Paleoclimatic projections combined with the current model predicted stable climatic refugia in the central Amazon, Guyana, eastern Colombia, and Panama. We propose a data‐driven geographic range to complement the current IUCN range estimate and that despite its continental distribution, this tropical forest raptor is highly specialized to specific environmental requirements.</jats:p>

dc.format.extent481-497
dc.format.mediumElectronic-eCollection
dc.languageen
dc.language.isoen
dc.publisherWiley Open Access
dc.subjectgeographic range size
dc.subjectHarpia harpyja
dc.subjectharpy eagle
dc.subjectNeotropical raptors
dc.subjectpoint process models
dc.subjectspecies distribution models
dc.titleGeographic range estimates and environmental requirements for the harpy eagle derived from spatial models of current and past distributio
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000598688200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue1
plymouth.volume11
plymouth.publisher-urlhttps://onlinelibrary.wiley.com/doi/10.1002/ece3.7068
plymouth.publication-statusPublished
plymouth.journalEcology and Evolution
dc.identifier.doi10.1002/ece3.7068
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Biological and Marine Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA06 Agriculture, Veterinary and Food Science
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeEngland
dcterms.dateAccepted2020-11-10
dc.rights.embargodate2021-1-19
dc.identifier.eissn2045-7758
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1002/ece3.7068
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2020-12-15
rioxxterms.typeJournal Article/Review


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