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Simulating the potential distribution of Elaeagnus angustifolia L. based on climatic constraints in China
Zhang, Xiaoqin1,2,3; Li, Guoqing1,3; Du, Sheng1,3
2018-04-01
Source PublicationECOLOGICAL ENGINEERING
ISSN0925-8574
Volume113Pages:27-34
Corresponding AuthorLi, Guoqing(liguoqing@nwsuaf.edu.cn)
AbstractElaeagnus angustifolia L. has considerable ecological value and plays an important role in windbreak and sand fixation, soil and water conservation, vegetation restoration and afforestation in Asia. Understanding the potential distribution and the limiting climatic factors is the first step for sustainable use of this species at regional scale. Here, we simulated the potential distribution of E. angustifolia and evaluated its limiting climatic factors using a maximum entropy model (MaxEnt) and geographical information system (GIS) in China, based on 190 occurrence grid cells and 13 climatic variables in China. The results show that: (1) annual range of temperature (ART), annual mean temperature (AMT), humidity index (HI), and coldness index (CI) are the dominant climatic factors limiting its potential distribution range; (2) low temperature is an important climatic factor that limits both southern and northern distribution boundaries, and high rainfall is another climatically limiting factor for the southern boundary, and (3) the potential distribution areas are mainly located in the warm temperate and middle temperate zone with cold and dry winters, and in the arid and semi-arid regions of China between 30 degrees N and 50 degrees N. The simulating results can improve our understanding of the geographical and ecological characteristics of E. angustifolia, and provide references for the introduction of this species for control and restoration of degraded land in China.
KeywordRussian olive Limiting climatic factors Annual range of temperature Climatically suitable habitats Climatic threshold MaxEnt
DOI10.1016/j.ecoleng.2018.01.009
WOS KeywordPREDICTING SPECIES DISTRIBUTIONS ; LOCUST ROBINIA-PSEUDOACACIA ; WESTERN NORTH-AMERICA ; RUSSIAN OLIVE ; GEOGRAPHICAL-DISTRIBUTION ; RIPARIAN ECOSYSTEMS ; DISTRIBUTION MODELS ; TREE ; NICHE ; RANGE
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFC0504601] ; National Nature Science Foundation of China[31300407] ; Key Cultivation Project of Chinese Academy of Sciences
Funding OrganizationNational Key Research and Development Program of China ; National Nature Science Foundation of China ; Key Cultivation Project of Chinese Academy of Sciences
WOS Research AreaEnvironmental Sciences & Ecology ; Engineering
WOS SubjectEcology ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000426093400004
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57015
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Guoqing
Affiliation1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China
2.Heze Univ, Coll Agr & Biol Engn, Heze 274015, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Xiaoqin,Li, Guoqing,Du, Sheng. Simulating the potential distribution of Elaeagnus angustifolia L. based on climatic constraints in China[J]. ECOLOGICAL ENGINEERING,2018,113:27-34.
APA Zhang, Xiaoqin,Li, Guoqing,&Du, Sheng.(2018).Simulating the potential distribution of Elaeagnus angustifolia L. based on climatic constraints in China.ECOLOGICAL ENGINEERING,113,27-34.
MLA Zhang, Xiaoqin,et al."Simulating the potential distribution of Elaeagnus angustifolia L. based on climatic constraints in China".ECOLOGICAL ENGINEERING 113(2018):27-34.
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