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Species distribution models for predicting the habitat suitability of Chinese fire‐bellied newt Cynops orientalis under climate change

机译:气候变化下预测中国火灾纽特Cynops Orientalis的栖息地适用性的物种分布模型

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摘要

Climate change influences species geographical distribution and diversity pattern. The Chinese fire‐bellied newt (Cynops orientalis) is an endemic species distributed in East‐central China, which has been classified as near‐threatened species recently due to habitat destruction and degradation and illegal trade in the domestic and international pet markets. So far, little is known about the spatial distribution of the species. Based on bioclimatic data of the current and future climate projections, we modeled the change in suitable habitat for C. orientalis by ten algorithms, evaluated the importance of environmental factors in shaping their distribution, and identified distribution shifts under climate change scenarios. In this study, 46 records of C. orientalis from East China and 8 bioclimatic variables were used. Among the ten modeling algorithms, four (GAM, GBM, Maxent, and RF) were selected according to their predictive abilities. The current habitat suitability showed that C. orientalis had a relatively wide but fragmented distribution, and it encompassed 41,862 km2. The models suggested that precipitation of warmest quarter (bio18) and mean temperature of wettest quarter (bio6) had the highest contribution to the model. This study revealed that C. orientalis is sensitive to climate change, which will lead to a large range shift. The projected spatial and temporal pattern of range shifts for C. orientalis should provide a useful reference for implementing long‐term conservation and management strategies for amphibians in East China.
机译:气候变化影响的物种地理分布和多样性格局。中国的火腹蝾螈(蝾螈侧柏)是分布于中国东部,中部,最近已经列为近危物种由于栖息地破坏和退化和非法贸易在国内和国际市场上的宠物的特有物种。到目前为止,知之甚少的物种的空间分布。基于当前和未来的气候突起的生物气候数据,我们模拟下气候变化情景在适宜栖息地C.侧柏十算法的变化,评价了其成形分布的环境因素的重要性,并确定分配的变化。在这项研究中,使用了46个记录下来自中国东部和8个生物气候变量侧柏的。间的10建模算法,四(GAM,GBM,Maxent模型,和RF)根据其预测能力选择。目前的栖息地表明C.侧柏有一个比较宽,但零散分布,它涵盖41862平方公里。该机型建议最热的季度(bio18)和降雨量最多的季度(bio6)的平均温度的析出不得不模型中最高的贡献。这项研究表明,东方C.对气候变化,这将导致大范围转移敏感。投影范围的变化为C.侧柏的空间和时间模式应该为实现长期的保护和管理策略在东中国两栖动物提供有益的参考。

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