Exploring on the climate regionalization of Qinling-Daba mountains based on Geodetector-SVM model
文献类型：期刊论文
| 作者 | Hu, Yufan1,2; Yao, Yonghui1; Kou, Zhixiang1,2 |
| 刊名 | PLOS ONE
 |
| 出版日期 | 2020-11-02 |
| 卷号 | 15期号:11页码:16 |
| ISSN号 | 1932-6203 |
| DOI | 10.1371/journal.pone.0241047 |
| 通讯作者 | Yao, Yonghui(yaoyh@lreis.ac.cn) |
| 英文摘要 | Qinling-Daba Mountains (QDM), which are located in central China, are considered as a significant climatic boundary delimiting north and south. However, the influence of complex topographic and climatic features makes it challenging to identify the exact location of the boundary, and different scholars delimit the boundary with significant differences. In addition, there is a gradual transition between climate zones, and no real dividing line exists. To explore the climate regionalization of the QDM, we focused on the identification of the transition zone rather than the exact location of the boundary between subtropical and temperate zones. Thus, we proposed a new workflow for climate regionalization based on the Geodetector-SVM model (a combination of Geodetector and support vector machines). First, we selected the spatial distribution data of six vegetation types (including typical subtropical and temperate vegetation) to represent the spatial distribution of climatic zones. Environmental factors (such as topography, temperature, precipitation, and soil) were used as explanatory variables for the spatial distribution of vegetation. Second, using the Geodetector-SVM model, the distribution characteristics and suitable environment of typical vegetation in different climatic zones are comprehensively explored. By analyzing the multiple boundaries between subtropical and temperate vegetation, the location of the transition zone of the QDM was identified. The results revealed the following: (1) The new workflow for climate regionalization based on the Geodetector-SVM model is powerful for the identification of the transition zone. The q-statistics are generally greater than 0.35, indicating that the transition zone between subtropical and temperate zones can highly reflect the character of the QDM; (2) From west to east, the transition zone mainly passes through the cities of Heishui County, Kang County, Liuba County, and Yichuan County and is approximately 30 km wide. |
| WOS关键词 | CLASSIFICATION ; CHINA ; IDENTIFICATION ; ZONES |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000588375500009 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/156625]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yao, Yonghui |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Yufan,Yao, Yonghui,Kou, Zhixiang. Exploring on the climate regionalization of Qinling-Daba mountains based on Geodetector-SVM model[J]. PLOS ONE,2020,15(11):16. |
| APA | Hu, Yufan,Yao, Yonghui,&Kou, Zhixiang.(2020).Exploring on the climate regionalization of Qinling-Daba mountains based on Geodetector-SVM model.PLOS ONE,15(11),16. |
| MLA | Hu, Yufan,et al."Exploring on the climate regionalization of Qinling-Daba mountains based on Geodetector-SVM model".PLOS ONE 15.11(2020):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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