Spatial-Temporal Distribution and the Influencing Factors of Water Conservation Function in Yunnan, China
Source abstract
Abstract
Assessing the spatial and quantitative evaluation of water conservation within regional ecosystems holds vital significance for effective regional water resource management, allocation optimization, and enhanced ecological protection. In this study, we focus on Yunnan Province as our research subject and utilize land use data spanning from 2000 to 2018. The InVEST model serves as a key tool for evaluating Yunnan Province’s water conservation capacity over the past two decades. Furthermore, we employ Geographical detectors and ArcGIS 10.2 to delve into the spatial distribution patterns and the impact of both natural environmental and socio-economic factors on changes in water conservation capacity. The research findings reveal a spatial trend in regional water source conservation, characterized by a decreasing gradient from the southwest to the northeast. Over the past two decades, we have observed an initial decline followed by a subsequent increase in regional water source conservation, resulting in an overall upward trajectory. Precipitation displays the strongest correlation among natural environmental factors, indicating a significant influence on water conservation. Additionally, socio-economic data exhibit a noteworthy positive correlation with alterations in water conservation, primarily attributed to urbanization and the expansion of impermeable surfaces like urban construction land, which bolster regional water conservation efforts. This research offers valuable insights that can serve as a foundation for establishing local water source protection measures and ecological compensation mechanisms.
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Research context
OpenAlex topics: Land Use and Ecosystem Services · Hydrology and Watershed Management Studies · Water resources management and optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
Donald W. Scott College of Business, Networks Financial Institute, Indiana State University, 30 N 7th St., Terre Haute, IN 47809, USA
Funding
National Social Science Fund of China
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