Exploring on the climate regionalization of Qinling-Daba mountains based on Geodetector-SVM model

vegetation in the QDM exhibits high spatial stratified heterogeneity with distinct transitional characteristics. Data source Spatial distribution data of vegetation. The datasets were extracted from the Chinese vegetation map (1:1,000,000)(downloaded from the website of http://www.resdc.cn/) [41], and temperate vegetation (Pinus tabuliformis forest, Quercus wutaishanica forest, and Populus davidiana forest) and subtropical vegetation (Pinus massoniana forest, Quercus fabri forest, and Cyclobalanopsis glauca forest) were selected as the vegetation indexes in this study (shown as Fig 2). According to the “Flora Republicae Popularis Sinicae”, these six vegetation types rep- resent the most typical subtropical and temperate vegetation [42]. It was mainly used to ana- lyze the spatial distribution pattern of typical subtropical and temperate vegetation, and delimit boundaries between subtropical and temperate zones. In detail, the six vegetation typess were classified into three groups: Quercus wutaishanica forest and Quercus fabri forest (Group I), Pinus tabuliformis forest and Pinus massoniana forest (Group II), and Populus davidiana forest and Clobalanopsis glauca forest (Group III). Group II was used to delimit the Fig 1. Study area. https://doi.org/10.1371/journal.pone.0241047.g001 PLOS ONE Climate regionalization based on Geodetector-SVM model PLOS ONE | https://doi.org/10.1371/journal.pone.0241047 November 2, 2020 4 / 16