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Partitioning the effects of habitat loss, hunting and climate change on the endangered Chacoan peccary

تقسيم آثار فقدان الموائل والصيد وتغير المناخ على بيكاري تشاكوان المهددة بالانقراض
Authors: Ricardo Torres; Tobias Kuemmerle; Matthias Baumann; Alfredo Romero‐Muñoz; Mariana Altrichter; Gabriel Boaglio; Hugo Cabral; +17 Authors

Partitioning the effects of habitat loss, hunting and climate change on the endangered Chacoan peccary

Abstract

AbstractAimLand‐use change and overexploitation are major threats to biodiversity, and climate change will exert additional pressure in the 21st century. Although there are strong interactions between these threats, our understanding of the synergistic and compensatory effects on threatened species' range geography remains limited. Our aim was to disentangle the impact of habitat loss, hunting and climate change on species, using the example of the endangered Chacoan peccary (Catagonus wagneri).LocationGran Chaco ecoregion in South America.MethodsUsing a large occurrence database, we integrated a time‐calibrated species distribution model with a hunting pressure model to reconstruct changes in the distribution of suitable peccary habitat between 1985 and 2015. We then used partitioning analysis to attribute the relative contribution of habitat change to land‐use conversion, climate change and varying hunting pressure.ResultsOur results reveal widespread habitat deterioration, with only 11% of the habitat found in 2015 considered suitable and safe. Hunting pressure was the strongest single threat, yet most habitat deterioration (58%) was due to the combined, rather than individual, effects of the three drivers we assessed. Climate change would have led to a compensatory effect, increasing suitable habitat area, yet this effect was negated by the strongly negative and interacting threats of land‐use change and hunting.Main ConclusionsOur study reveals the central role of overexploitation, which is often neglected in biogeographic assessments, and suggests that addressing overexploitation has huge potential for increasing species' adaptive capacity in the face of climate and land‐use change. More generally, we highlight the importance of jointly assessing extinction drivers to understand how species might fare in the 21st century. Here, we provide a simple and transferable framework to determine the separate and joint effects of three main drivers of biodiversity loss.

Country
Argentina
Keywords

Wildlife Ecology and Conservation Biology, Land-use Change, Bosque Seco Tropical y Subtropical, Especies de Borde, EDGE species, land-use change, Biodiversity Conservation and Ecosystem Management, Habitat destruction, https://purl.org/becyt/ford/1.6, Climate change, Catagonus wagneri, Deforestation, Edge Species, Species distribution, Species Distribution Modeling and Climate Change Impacts, tropical and subtropical dry forests, Ecology, Geography, Ecological Modeling, Ecoregion, Biodiversity, Time-calibrated SDM, Threatened species, Habitat, Physical Sciences, Overexploitation, Agricultural Expansion, Habitat Fragmentation, time-calibrated SDM, Tayassuidae, agricultural expansion, Land-use change, Gran Chaco, overexploitation, Tropical and Subtropical Dry Forest, Predation Risk, Endangered species, Peccary, Región Chaqueña, deforestation, https://purl.org/becyt/ford/1, Biology, Land use, land-use change and forestry, Nature and Landscape Conservation, Sobreexplotación, Tropical and subtropical dry forests, Species Distribution Modeling, Agricultural expansion, Pecarí, Habitat Selection, Deforestación, FOS: Biological sciences, Environmental Science, Land use, Cambio de Uso de la Tierra, Expansión Agrícola, Species Richness

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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gold