Maxent modeling for predicting the potential geographical distribution of two peony species under climate change

栖息地 航程(航空) 代表性浓度途径 气候变化 物种分布 分布(数学) 生态学 环境科学 全球变暖 温室气体 降水 生物 地理 气候模式 气象学 数学分析 复合材料 材料科学 数学
作者
Keliang Zhang,Linjun Yao,Jiasong Meng,Jun Tao
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:634: 1326-1334 被引量:476
标识
DOI:10.1016/j.scitotenv.2018.04.112
摘要

Paeonia (Paeoniaceae), an economically important plant genus, includes many popular ornamentals and medicinal plant species used in traditional Chinese medicine. Little is known about the properties of the habitat distribution and the important eco-environmental factors shaping the suitability. Based on high-resolution environmental data for current and future climate scenarios, we modeled the present and future suitable habitat for P. delavayi and P. rockii by Maxent, evaluated the importance of environmental factors in shaping their distribution, and identified distribution shifts under climate change scenarios. The results showed that the moderate and high suitable areas for P. delavayi and P. rockii encompassed ca. 4.46 × 105 km2 and 1.89 × 105 km2, respectively. Temperature seasonality and isothermality were identified as the most critical factors shaping P. delavayi distribution, and UVB-4 and annual precipitation were identified as the most critical for shaping P. rockii distribution. Under the scenario with a low concentration of greenhouse gas emissions (RCP2.6), the range of both species increased as global warming intensified; however, under the scenario with higher concentrations of emissions (RCP8.5), the suitable habitat range of P. delavayi decreased while P. rockii increased. Overall, our prediction showed that a shift in distribution of suitable habitat to higher elevations would gradually become more significant. The information gained from this study should provide a useful reference for implementing long-term conservation and management strategies for these species.
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