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dc.contributor.authorThompson, J.J.
dc.contributor.authorVelilla, M.
dc.contributor.authorCabral, H.
dc.contributor.authorCantero, N.
dc.contributor.authorBonzi, V.R.
dc.contributor.authorBritez, E.
dc.contributor.authorCampos Krauer, J.M.
dc.contributor.authorMcBride, R.T., Jr.
dc.contributor.authorAyala, R.
dc.contributor.authorCartes, J.L.
dc.date.accessioned2022-11-18T22:13:13Z
dc.date.available2022-11-18T22:13:13Z
dc.date.issued2022
dc.identifier.citationThompson, J. J., Velilla, M., Cabral, H., Cantero, N., Bonzi, V. R., Britez, E., Campos Krauer, J. M., McBride, R. T., Jr., Ayala, R., & Cartes, J. L. (2022). Jaguar (Panthera onca) population density and landscape connectivity in a deforestation hotspot: The Paraguayan Dry Chaco as a case study. Perspectives in Ecology and Conservation.
dc.identifier.issn2530-0644
dc.identifier.doi10.1016/j.pecon.2022.09.001
dc.identifier.urihttp://hdl.handle.net/10150/666873
dc.description.abstractThe distribution of the jaguar has decreased by approximately 50% with its conservation highly dependent upon its persistence and mobility in anthropogenic landscapes. Consequently, understanding the effects of land use on jaguar populations and their connectivity is a necessary precursor for effective conservation of the species. We simultaneously estimated jaguar density and landscape connectivity in the ranching landscape of the Dry Chaco of western Paraguay, a deforestation hotspot, as a function of proportional forest area using spatial capture-recapture modeling. Using camera trap sampling at four sites along a deforestation gradient of 17%–51% area deforested, we estimated densities of 0.44–1.6 individuals/100 km2, whereby densities and connectivity from the more deforested sites were significantly lower than those from the less deforested sites. Our results warrant concern for the long-term viability of jaguar in the Paraguayan Dry Chaco, highlighting the need for the effective implementation of existing national laws and management plans for the conservation of the jaguar and its habitat. Furthermore, we showed the importance of accounting for landscape heterogeneity typical of anthropogenic landscapes in the conservation of the jaguar, suggesting results from protected areas may be generating unrepresentative inferences for jaguars in general, while indicating the need to place a greater research emphasis on anthropogenic landscapes to meet range-wide conservation goals for the jaguar. © 2022 Associação Brasileira de Ciência Ecológica e Conservação
dc.language.isoen
dc.publisherAssociacao Brasileira de Ciencia Ecologica e Conservacao
dc.rightsCopyright © 2022 Associação Brasileira de Ciência Ecológica e Conservação. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectChaco
dc.subjectConnectivity
dc.subjectDensity
dc.subjectJaguar
dc.subjectParaguay
dc.subjectSpatial capture-recapture
dc.titleJaguar (Panthera onca) population density and landscape connectivity in a deforestation hotspot: The Paraguayan Dry Chaco as a case study
dc.typeArticle
dc.typetext
dc.contributor.departmentSchool of Natural Resources and the Environment, University of Arizona
dc.identifier.journalPerspectives in Ecology and Conservation
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitlePerspectives in Ecology and Conservation
refterms.dateFOA2022-11-18T22:13:13Z


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Copyright © 2022 Associação Brasileira de Ciência Ecológica e Conservação. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's license is described as Copyright © 2022 Associação Brasileira de Ciência Ecológica e Conservação. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).