2023
DOI: 10.3390/ani13243828
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Predicting the Potential Distribution of the Szechwan Rat Snake (Euprepiophis perlacea) and Its Response to Climate Change in the Yingjing Area of the Giant Panda National Park

Xinqiang Song,
Ying Jiang,
Li Zhao
et al.

Abstract: Climate change is a significant driver of changes in the distribution patterns of species and poses a threat to biodiversity, potentially resulting in species extinctions. Investigating the potential distribution of rare and endangered species is crucial for understanding their responses to climate change and for the conservation of biodiversity and ecosystem management. The Szechwan rat snake (Euprepiophis perlacea) is an endemic and endangered species co-distributed with giant pandas, and studying its potent… Show more

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Cited by 6 publications
(3 citation statements)
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“…Species Distribution Models (SDMs) are invaluable tools for predicting the potential distribution of species in both current and future environmental conditions [ 35 , 36 ]. SDMs have been widely used to predict shifts in the ranges of endangered species under climate change and to inform ecosystem management strategies [ 37 , 38 , 39 ]. Among the various species distribution models, the MaxEnt model is preferred for its precision in predicted outcomes and its spatiotemporal extrapolation capabilities [ 40 ].…”
Section: Methodsmentioning
confidence: 99%
“…Species Distribution Models (SDMs) are invaluable tools for predicting the potential distribution of species in both current and future environmental conditions [ 35 , 36 ]. SDMs have been widely used to predict shifts in the ranges of endangered species under climate change and to inform ecosystem management strategies [ 37 , 38 , 39 ]. Among the various species distribution models, the MaxEnt model is preferred for its precision in predicted outcomes and its spatiotemporal extrapolation capabilities [ 40 ].…”
Section: Methodsmentioning
confidence: 99%
“…The MaxEnt algorithm has been used extensively in modelling the distribution of various species, addressing present conditions and climate change scenarios [28]. It has been applied in a wide range of contexts, such as plant conservation, especially for endangered and endemic species [29][30][31][32][33][34]. It has also been useful in modeling the distribution of invasive species, forestry management, and agriculture [35][36][37][38].…”
Section: Introductionmentioning
confidence: 99%
“…Drastic changes in the global environment have sparked an unprecedented decline in biodiversity. The International Union for the Conservation of Nature assesses that over 28% of the world's species are now threatened with extinction [1,2]. As technology continues to advance, wildlife monitoring techniques will be crucial for scientists to investigate, protect, and care for rare wildlife and the natural world in the years ahead [3].…”
Section: Introductionmentioning
confidence: 99%