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

Autor: Yonghui Yao, Yufan Hu, Zhixiang Kou
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Atmospheric Science
Support Vector Machine
010504 meteorology & atmospheric sciences
Climate
0208 environmental biotechnology
Distribution (economics)
Social Sciences
02 engineering and technology
Plant Science
Forests
01 natural sciences
Trees
Geographical Locations
Machine Learning
Soil
Transition zone
Multidisciplinary
Ecology
Geography
Temperature
Eukaryota
Vegetation
Plants
Terrestrial Environments
Medicine
Temperate Forests
Geology
Research Article
China
Computer and Information Sciences
Asia
Climate Change
Science
Climate change
Subtropics
Environment
Spatial distribution
Human Geography
Ecosystems
Urban Geography
Meteorology
Artificial Intelligence
Support Vector Machines
Temperate climate
Precipitation
Cities
Plant Communities
0105 earth and related environmental sciences
business.industry
Plant Ecology
Ecology and Environmental Sciences
Organisms
Correction
Biology and Life Sciences
020801 environmental engineering
People and Places
Earth Sciences
Physical geography
business
Pines
Zdroj: PLoS ONE, Vol 15, Iss 11, p e0241047 (2020)
PLoS ONE
ISSN: 1932-6203
Popis: 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.
Databáze: OpenAIRE
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