Assessing the invasion risk of Chelydra serpentina in China under current and future climate change scenarios

Author:

Mu Chaosheng,Li Pipeng

Abstract

Chelydra serpentina, a species introduced to China for aquaculture purposes, is commonly found in its natural habitats within the country. The invasion of C. serpentina poses potential threats to both the biodiversity of China and human health. The potential distribution of C. serpentina has been simulated using the species distribution model – MaxEnt, incorporating global distribution data, climate, and land cover variables. Our simulations encompasses both current conditions and four future climate change scenarios. Currently, the potential distribution is concentrated in central, eastern, and southeastern regions of China, with the central and eastern regions facing the highest risk of invasion. Under future climate change scenarios, the distribution area may expand by 30–90%, and multiple provinces will face a more severe threat of invasion. This study presents the inaugural simulation of the potential invasion range of C. serpentina under current climatic conditions. Moreover, it reveals that climate change is likely to contribute to the expansion of its invasive range, thus furnishing a reference foundation for scientific prevention and control measures. We propose integrating citizen science and eDNA technologies into species monitoring to enhance the efficiency of detecting invasive species. This research has filled the gap in the research on the invasive distribution range of C. serpentina in China and globally, while also providing novel perspectives on the invasion control of this species.

Publisher

Frontiers Media SA

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Reference99 articles.

1. spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models;Aiello-Lammens;Ecography,2015

2. Irrigation canals as potential dispersal routes for the Common Snapping Turtle, Chelydra serpentina, in the southern High Plains of New Mexico, USA;Alles;Herpetology Notes,2022

3. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS): Assessing the accuracy of distribution models;Allouche;J. Appl. Ecol.,2006

4. Evaluating predictive models of species’ distributions: criteria for selecting optimal models;Anderson;Ecol. Model.,2003

5. Climate change threatens European conservation areas;Araújo;Ecol. Lett.,2011

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