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

Authors :
Keliang Zhang
Jun Tao
Linjun Yao
Meng Jiasong
Source :
Science of The Total Environment. 634:1326-1334
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

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. 4.46×105km2 and 1.89×105km2, 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.

Details

ISSN :
00489697
Volume :
634
Database :
OpenAIRE
Journal :
Science of The Total Environment
Accession number :
edsair.doi.dedup.....25ed690b84230e208aa3dd7adeabf34a
Full Text :
https://doi.org/10.1016/j.scitotenv.2018.04.112