How Do Driving Factors Affect Vegetation Coverage Change in the Shaanxi Region of the Qinling Mountains?

Author:

Wang Shuoyao123ORCID,Gao Meiling124,Li Zhenhong124ORCID,Ma Jingjing123,Peng Jianbing125

Affiliation:

1. College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China

2. Key Laboratory of Loess, Xi’an 710054, China

3. Big Data Center for Geosciences and Satellites, Xi’an 710054, China

4. Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi’an 710054, China

5. Key Laboratory of Western China’s Mineral Resource and Geological Engineering, Ministry of Education, Xi’an 710054, China

Abstract

Understanding the effects of natural and human disturbance factors on fractional vegetation coverage (FVC) is significant in the promotion of ecological and environmental protection. However, most of the relevant studies neglect to consider differences in the effect of driving factors on areas with different vegetation change characteristics. In this paper, we have combined Theil-Sen median trend analysis and Mann-Kendall testing to identify degraded and restored areas. Differences in the impact of various factors on FVC in terms of degradation, restoration, and the whole region were distinguished quantitatively using the geodetector model. Additionally, the constraint line approach was used to detect the influence thresholds of factors on FVC. The results are shown as below: (1) FVC showed an overall improving trend, and vegetation restoration and degradation areas accounted for 69.2% and 22.0%, respectively. (2) The two dominant factors affecting FVC were Digital Elevation Model (DEM) and temperature for both degraded and restored regions. However, the explanatory power of precipitation was noticeably different between regions. (3) Most natural factors had a “convex” constraint effect on FVC, which gradually weakened with an increase in the variable below the threshold and vice versa. Human disturbance factors negatively constrained FVC, and the constraint effect increased with increased human activity. This study can help decision-makers optimize specific implementation policies relating to ecological restoration and sustainable development.

Funder

Shaanxi Province Science and Technology Innovation Team

Shaanxi Province Geoscience Big Data and Geohazard Prevention Innovation Team

Fundamental Research Funds for the Central Universities, CHD

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference70 articles.

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