Potential risk zone for anthropogenic mortality of carnivores in Gandaki province, Nepal
Anthropogenic pressures in human-dominated landscapes often contribute to wildlife mortality. Carnivores are especially vulnerable to human-induced mortality due to the perceived threat to livestock and humans. Despite having widespread conservation implications, carnivore mortality data has been la...
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Zusammenfassung: | Anthropogenic pressures in human-dominated landscapes often contribute to
wildlife mortality. Carnivores are especially vulnerable to human-induced
mortality due to the perceived threat to livestock and humans. Despite
having widespread conservation implications, carnivore mortality data has
been largely underutilized within Nepal. This study utilized Maxent to
identify high-risk areas and explore the contribution of habitat
attributes associated with carnivore mortality using the casualty database
within the Gandaki province of central Nepal. We categorized the risk to
carnivore species in three taxonomic groups: Felid, Viverridae, and
Herpestidae, and identified a 3704 km2 area within the province at high
risk for carnivore casualty. The middle mountains were the riskiest
physiographic zone, and the Annapurna Conservation Area represented the
largest risk zone among the four protected areas. Agricultural land was
the most problematic area in terms of carnivore casualty. The human
population was positively associated with high-risk areas and the number
of casualties, whereas protected area cover had a negative association.
This study identified that the common leopard was at the highest risk of
mortality and therefore would benefit from the implementation of an action
plan and species-specific conservation strategies, especially within
identified high-risk zones. An expansion of protected areas in the middle
mountain region would serve to greatly reduce carnivore casualty. Species
distribution modeling can be further used with national-level spatial and
temporal mortality data to identify the most prominent casualty times and
pinpoint potential casualty locations throughout the country. |
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DOI: | 10.5061/dryad.wpzgmsbnk |