Factors Influencing Four Decades of Forest Change in Guizhou Province, China

Author:

Guo Xiaona1,Chen Ruishan1ORCID,Meadows Michael E.23ORCID,Li Qiang14,Xia Zilong3,Pan Zhenzhen5

Affiliation:

1. School of Design, Shanghai Jiao Tong University, Shanghai 200240, China

2. Department of Environmental and Geographical Science, University of Cape Town, Cape Town 7701, South Africa

3. School of Geography and Ocean Sciences, Nanjing University, Nanjing 210023, China

4. School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China

5. School of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China

Abstract

Globally, the loss of forest vegetation is a significant concern due to the crucial roles that forests play in the Earth’s system, including the provision of ecosystem services, participation in biogeochemical cycles, and support for human well-being. Forests are especially critical in mountains environments, where deforestation can lead to accelerated biodiversity loss, soil erosion, flooding, and reduced agricultural productivity, as well as increased poverty rates. In response to these problems, China has implemented a series of ecological restoration programs aimed at restoring forests. However, there is a lack of knowledge as to whether the forest cover is increasing or decreasing, as well as the relative roles played by natural and human factors in forest change. Here, we aim to address these issues by analyzing the pattern and process of the forest changes in Guizhou province, a typical mountainous karst area with a fragile environment in southwestern China, between 1980 and 2018, and evaluating the extent to which these forest changes were influenced by natural and anthropogenic driving forces. Using a temporal sequence of satellite images and a Markov model, we found that the forest cover increased by 468 km2, and that over 33% of the cropland in Guizhou province was converted into forest between 1980 and 2018, with the most significant increases in the forest cover occurring in Qiandongnan. Through correlation analyses and generalized linear model (GLM) regression, we demonstrate that management factors exerted a more significant positive impact on the forest cover than climate change. While the mean annual precipitation and temperature were mostly stable during the period studied, the effects of population and gross domestic product (GDP) on the forest changes weakened, and the influence of land-use change markedly increased. These findings provide valuable information for resource managers engaging in forest protection, deforestation prevention, and ecological restoration in similar regions.

Funder

National Social Science Fund of China

the National Key Research and Development Program of China

China Postdoctoral Science Foundation

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Ecology,Global and Planetary Change

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