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      Identification of Priority Conservation Areas and Potential Corridors for Jaguars in the Caatinga Biome, Brazil

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          Abstract

          The jaguar, Panthera onca, is a top predator with the extant population found within the Brazilian Caatinga biome now known to be on the brink of extinction. Designing new conservation units and potential corridors are therefore crucial for the long-term survival of the species within the Caatinga biome. Thus, our aims were: 1) to recognize suitable areas for jaguar occurrence, 2) to delineate areas for jaguar conservation (PJCUs), 3) to design corridors among priority areas, and 4) to prioritize PJCUs. A total of 62 points records of jaguar occurrence and 10 potential predictors were analyzed in a GIS environment. A predictive distributional map was obtained using Species Distribution Modeling (SDM) as performed by the Maximum Entropy (Maxent) algorithm. Areas equal to or higher than the median suitability value of 0.595 were selected as of high suitability for jaguar occurrence and named as Priority Jaguar Conservation Units (PJCU). Ten PJCUs with sizes varying from 23.6 km 2 to 4,311.0 km 2 were identified. Afterwards, we combined the response curve, as generated by SDM, and expert opinions to create a permeability matrix and to identify least cost corridors and buffer zones between each PJCU pair. Connectivity corridors and buffer zone for jaguar movement included an area of 8.884,26 km 2 and the total corridor length is about 160.94 km. Prioritizing criteria indicated the PJCU representing c.a. 68.61% of the total PJCU area (PJCU # 1) as of high priority for conservation and connectivity with others PJCUs (PJCUs # 4, 5 and 7) desirable for the long term survival of the species. In conclusion, by using the jaguar as a focal species and combining SDM and expert opinion we were able to create a valid framework for practical conservation actions at the Caatinga biome. The same approach could be used for the conservation of other carnivores.

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          High frequency of functional extinctions in ecological networks.

          Intensified exploitation of natural populations and habitats has led to increased mortality rates and decreased abundances of many species. There is a growing concern that this might cause critical abundance thresholds of species to be crossed, with extinction cascades and state shifts in ecosystems as a consequence. When increased mortality rate and decreased abundance of a given species lead to extinction of other species, this species can be characterized as functionally extinct even though it still exists. Although such functional extinctions have been observed in some ecosystems, their frequency is largely unknown. Here we use a new modelling approach to explore the frequency and pattern of functional extinctions in ecological networks. Specifically, we analytically derive critical abundance thresholds of species by increasing their mortality rates until an extinction occurs in the network. Applying this approach on natural and theoretical food webs, we show that the species most likely to go extinct first is not the one whose mortality rate is increased but instead another species. Indeed, up to 80% of all first extinctions are of another species, suggesting that a species' ecological functionality is often lost before its own existence is threatened. Furthermore, we find that large-bodied species at the top of the food chains can only be exposed to small increases in mortality rate and small decreases in abundance before going functionally extinct compared to small-bodied species lower in the food chains. These results illustrate the potential importance of functional extinctions in ecological networks and lend strong support to arguments advocating a more community-oriented approach in conservation biology, with target levels for populations based on ecological functionality rather than on mere persistence.
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            Atlantic rainforest's jaguars in decline.

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              Author and article information

              Contributors
              Role: Editor
              Journal
              PLoS One
              PLoS ONE
              plos
              plosone
              PLoS ONE
              Public Library of Science (San Francisco, USA )
              1932-6203
              2014
              7 April 2014
              : 9
              : 4
              : e92950
              Affiliations
              [1 ]Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros - Instituto Chico Mendes de Conservação da Biodiversidade - Ministério do Meio Ambiente, Atibaia, São Paulo, Brazil
              [2 ]Instituto para a Conservação dos Carnívoros Neotropicais, Atibaia, São Paulo, Brazil
              [3 ]Departamento de Ciências Florestais, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, Brazil
              Federal University of Parana (UFPR) ) – Campus Palotina, Brazil
              Author notes

              Competing Interests: The authors have decared that no competing interests exist.

              Conceived and designed the experiments: RGM RCP CBC KMPMBF. Analyzed the data: KMPMBF RGM RCP CBC. Wrote the paper: RGM KMPMBF RCP CBC. Acquired the data: CBC RCP RGM.

              Article
              PONE-D-13-36334
              10.1371/journal.pone.0092950
              3977835
              24709817
              8d61618e-348b-4fea-ac19-b78bd15ad34e
              Copyright @ 2014

              This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

              History
              : 3 September 2013
              : 27 February 2014
              Page count
              Pages: 11
              Funding
              The authors thank Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) for financial support. The authors are grateful with Programa de Revitalização do Rio São Francisco/Diretoria de Recursos Hídricos e Ambiente Urbano/Ministério de Meio Ambiente, Instituto Chico Mendes de Conservação da Biodiversidade, Instituto Fazenda Tamanduá and BOVESPA-Social for financial support. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
              Categories
              Research Article
              Biology and Life Sciences
              Computational Biology
              Ecosystem Modeling
              Population Modeling
              Ecology
              Ecosystems
              Ecosystem Engineering
              Ecosystem Functioning
              Biodiversity
              Ecological Metrics
              Systems Ecology
              Theoretical Ecology
              Population Biology
              Veterinary Science
              Animal Types
              Wildlife
              Zoology
              Mammalogy
              Earth Sciences
              Ecology and Environmental Sciences
              Conservation Science
              Environmental Protection

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              Uncategorized

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