Modeling the distribution of Populus euphratica in the Heihe River Basin, an inland river basin in an arid region of China

被引:20
作者
Guo, Yanlong [1 ,2 ]
Li, Xin [1 ,2 ,3 ]
Zhao, Zefang [4 ]
Wei, Haiyan [4 ]
机构
[1] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
[4] Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Populus euphratica; MaxEnt; Species distribution models; Model comparison; Inland river basin; SPECIES DISTRIBUTION MODELS; POTENTIAL DISTRIBUTION; WATER DIVERSION; MEDICINAL-PLANT; CLIMATE-CHANGE; SOIL; TREE; GROUNDWATER; PERFORMANCE; REGRESSION;
D O I
10.1007/s11430-017-9241-2
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Populus euphratica is a dominant tree species in riparian Tugai forests and forms a natural barrier that maintains the stability of local oases in arid inland river basins. Despite being critical information for local environmental protection and recovery, establishing the specific spatial distribution of P. euphratica has rarely been attempted via precise and reliable species distribution models in such areas. In this research, the potential geographic distribution of P. euphratica in the Heihe River Basin was simulated with MaxEnt software based on species occurrence data and 29 environmental variables. The result showed that in the Heihe River Basin, 820 km(2) of land primarily distributed along the banks of the lower reaches of the river is a suitable habitat for P. euphratica. We built other MaxEnt models based on different environmental variables and another eight models employing different mathematical algorithms based on the same 29 environmental variables to demonstrate the superiority of this method. MaxEnt based on 29 environmental variables performed the best among these models, as it precisely described the essential characteristics of the distribution of P. euphratica forest land. This study verified that MaxEnt can serve as an effective tool for species distribution in extremely arid regions with sufficient and reliable environmental variables. The results suggest that there may be a larger area of P. euphratica forest distribution in the study area and that ecological conservation and management of P. euphratica should prioritize suitable habitat. This research provides valuable insights for the conservation and management of degraded P. euphratica riparian forests.
引用
收藏
页码:1669 / 1684
页数:16
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