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Modeling movement patterns to identify thresholds of functional connectivity in fragmented forest landscapes

dc.contributor.authorPeterson, Michaela C.
dc.contributor.authorBradham, Jennifer
dc.contributor.authorFerraro, Kristy
dc.contributor.authorGuillet, Max
dc.contributor.authorKeuroghlian, Alexine
dc.contributor.authorRibeiro, Milton [UNESP]
dc.contributor.authorJorge, Maria Luisa S.P.
dc.date.accessioned2026-04-30T19:49:17Z
dc.date.issued2025-07-01
dc.description.abstractDeforestation and fragmentation are rapidly altering forest ecosystems worldwide. While several studies have identified thresholds at which forest loss and fragmentation lead to species loss, few have explored thresholds at which ecological processes break down prior to biodiversity loss. Here, we present an agent-based model designed to examine the impact of habitat loss and fragmentation on the landscape-use patterns of highly mobile mammals in forest ecosystems. While our model can be easily adapted to a range of species, we provide a case study to identify essential thresholds of forest loss using movement data from the white-lipped peccary (Tayassu pecari), a wide-ranging, keystone species in Neotropical forests. We found that at least 40 % forest cover was required to preserve functional landscape connectivity, and at least 60 % forest cover was required to preserve the movement patterns displayed by this species in fully forested landscapes. We also found that increasing habitat fragmentation exacerbated the effects of forest loss. Our results provide further evidence that key thresholds of forest cover exist for preserving ecological processes and biodiversity in Neotropical forests.
dc.description.affiliationDepartment of Earth and Environmental Sciences, Vanderbilt University, United States of America
dc.description.affiliationDepartment of Environmental Studies, Wofford College, United States of America
dc.description.affiliationSchool for the Environment, Yale University, United States of America
dc.description.affiliationAmazon, United States of America
dc.description.affiliationPeccary Project/IUCN/SSC Peccary Specialist Group and Inst. Pro-Tapir, Campo Grande, Brazil
dc.description.affiliationSão Paulo State University (UNESP), Institute of Biosciences, Department of Biodiversity, Spatial Ecology and Conservation lab (LEEC), Rio Claro, Sao Paulo, Brazil
dc.description.affiliationSão Paulo State University (UNESP), Environmental Studies Center (CEA), Rio Claro, Sao Paulo, Brazil
dc.description.affiliationUnespSão Paulo State University (UNESP), Institute of Biosciences, Department of Biodiversity, Spatial Ecology and Conservation lab (LEEC), Rio Claro, Sao Paulo, Brazil
dc.description.affiliationUnespSão Paulo State University (UNESP), Environmental Studies Center (CEA), Rio Claro, Sao Paulo, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1187845311
dc.identifier.dimensionspub.1187845311
dc.identifier.doi10.1016/j.biocon.2025.111177
dc.identifier.issn0006-3207
dc.identifier.issn1873-2917
dc.identifier.orcid0000-0003-4975-6012
dc.identifier.orcid0000-0002-9208-9051
dc.identifier.orcid0000-0002-0884-7826
dc.identifier.orcid0000-0002-1415-4276
dc.identifier.orcid0000-0002-4312-202X
dc.identifier.orcid0000-0003-4264-5897
dc.identifier.urihttps://hdl.handle.net/11449/323048
dc.publisherElsevier
dc.relation.ispartofBiological Conservation; v. 307; p. 111177
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleModeling movement patterns to identify thresholds of functional connectivity in fragmented forest landscapes
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationeecebc66-0524-4365-8462-6103e1c979de
relation.isOrgUnitOfPublication.latestForDiscoveryeecebc66-0524-4365-8462-6103e1c979de
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Rio Claropt
unesp.campusUniversidade Estadual Paulista (UNESP), Centro de Estudos Ambientais, Rio Claro

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