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Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model
Li, Guoqing; Xu, Guanghua; Guo, Ke; Du, Sheng; Du, S (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China.
SubtypeJ
2014
Source PublicationFORESTS
Volume5Issue:11Pages:2773-2792
KeywordSpecies Distribution Coldness Index Warmth Index Climatic Threshold Ecological Niche
Subject AreaForestry
DOI10.3390/f5112773
Funding Project水保所科研产出--2014SCI_SCI数据库
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Document Type期刊论文
Identifierhttp://ir.iswc.ac.cn/handle/361005/7240
Collection水保所科研产出--SCI_2014--SCI
Corresponding AuthorDu, S (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China.
Recommended Citation
GB/T 7714
Li, Guoqing,Xu, Guanghua,Guo, Ke,et al. Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model[J]. FORESTS,2014,5(11):2773-2792.
APA Li, Guoqing,Xu, Guanghua,Guo, Ke,Du, Sheng,&Du, S .(2014).Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model.FORESTS,5(11),2773-2792.
MLA Li, Guoqing,et al."Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model".FORESTS 5.11(2014):2773-2792.
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