Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model
文献类型：期刊论文
| 作者 | Li, Guoqing1,2; Xu, Guanghua3; Guo, Ke4; Du, Sheng1,2 |
| 刊名 | FORESTS
 |
| 出版日期 | 2014 |
| 卷号 | 5期号:11页码:2773-2792 |
| 关键词 | species distribution coldness index warmth index climatic threshold ecological niche |
| DOI | 10.3390/f5112773 |
| 文献子类 | Article |
| 英文摘要 | Black locust (Robinia pseudoacacia L.) is a tree species of high economic and ecological value, but is also considered to be highly invasive. Understanding the global potential distribution and ecological characteristics of this species is a prerequisite for its practical exploitation as a resource. Here, a maximum entropy modeling (MaxEnt) was used to simulate the potential distribution of this species around the world, and the dominant climatic factors affecting its distribution were selected by using a jackknife test and the regularized gain change during each iteration of the training algorithm. The results show that the MaxEnt model performs better than random, with an average test AUC value of 0.9165 (+/- 0.0088). The coldness index, annual mean temperature and warmth index were the most important climatic factors affecting the species distribution, explaining 65.79% of the variability in the geographical distribution. Species response curves showed unimodal relationships with the annual mean temperature and warmth index, whereas there was a linear relationship with the coldness index. The dominant climatic conditions in the core of the black locust distribution are a coldness index of -9.8 degrees C-0 degrees C, an annual mean temperature of 5.8 degrees C-14.5 degrees C, a warmth index of 66 degrees C-168 degrees C and an annual precipitation of 508-1867 mm. The potential distribution of black locust is located mainly in the United States, the United Kingdom, Germany, France, the Netherlands, Belgium, Italy, Switzerland, Australia, New Zealand, China, Japan, South Korea, South Africa, Chile and Argentina. The predictive map of black locust, climatic thresholds and species response curves can provide globally applicable guidelines and valuable information for policymakers and planners involved in the introduction, planting and invasion control of this species around the world. |
| 学科主题 | Forestry |
| 电子版国际标准刊号 | 1999-4907 |
| 出版地 | BASEL |
| WOS关键词 | SPECIES DISTRIBUTIONS ; CLIMATE ; BIODIVERSITY ; PLANT ; PREDICTION ; KNOWLEDGE |
| WOS研究方向 | Forestry |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000345531000010 |
| 资助机构 | National Nature Science Foundation of China [31300407] ; Specialized Research Fund for the Doctoral Program of Higher Education [20130204120028] ; Institute of Soil and Water Conservation, CASMWR [A315021441] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/27154]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China 2.Chinese Acad Sci, Inst Soil & Water Conservat, Yangling 712100, Peoples R China 3.Minist Water Resources, Yangling 712100, Peoples R China 4.Chinese Acad Sci, Inst Subtrop Agr, Changsha 410125, Hunan, Peoples R China 5.Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing 100093, Peoples R China |
| 推荐引用方式 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.(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. |
入库方式： OAI收割
来源：植物研究所
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