Evaluation and Quantitative Attribution Analysis of Water Yield Services in the Peak-cluster Depression Basins in Southwest of Guangxi,China  

作　　者：WANG Donghua TIAN Yichao ZHANG Yali HUANG Liangliang TAO Jin YANG Yongwei LIN Junliang ZHANG Qiang 

机构地区：[1]School of Resources and Environment,Beibu Gulf University,Qinzhou 535011,China [2]College of Environmental Science and Engineering,Guilin University of Technology,Guilin 541004,China [3]Key Laboratory of Marine Geographic Information Resources Development and Utilization in the Beibu Gulf,Beibu Gulf University,Qinzhou 535011,China

出　　处：《Chinese Geographical Science》2023年第1期116-130,共15页中国地理科学（英文版）

基　　金：Under the auspices of National Natural Science Foundation of China (No. 42061020);Natural Science Foundation of Guangxi Zhuang Autonomous Region (No. 2018JJA150135);Guangxi Key Research and Development Program (No. AA18118038);Science and Technology Department of Guangxi Zhuang Autonomous Region (No. 2019AC20088);The Program of Improving the Basic Research Ability of Young and Middle-aged Teachers in Guangxi Universities (No. 2021KY0431);High Level Talent Introduction Project of Beibu Gulf University (No. 2019KYQD28)。

摘　　要：Karst environmental issues have become one of the hot spots in contemporary international geological research. The same problem of water shortage is one of the hot spots of global concern. The peak-cluster depression basins in southwest of Guangxi is an important water connotation and ecological barrier areas in the Pearl River Basin of China. Thus, studying the spatial and temporal variations and the influencing factors of its water yield services is critical to achieve the sustainable development of water resources and ecological environmental protection in this region. As such, this paper uses the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST) model to assess the spatial and temporal variabilities of water yield services and its trends in the peak-cluster depression basins in southwest of Guangxi from 2000 to 2020. This work also integrates precipitation(Pre), reference evapotranspiration(ET), temperature(Tem), digital elevation model(DEM), slope, normalized difference vegetation index(NDVI), land use/land cover(LULC) and soil type to reveal the main factors that influence water yield services with the help of Geodetector. Results show that: 1) in time scale,the total annual water yield in the study area show a fluctuating and increasing trend from 2000 to 2020, with a growth rate of 7.3753 × 10^(8)m^(3)/yr, and its multi-year average water yield was 538.07 mm;2) in spatial pattern, with high yield areas mainly distributed in the south of the study area(mainly including Shangsi County, Pingxiang City, Ningming County, Longzhou County and Jingxi County), and low yield areas mainly distributed in Baise City and Nanning City;3) the dominant factor of water yield within karst and non-karst landforms is not necessarily controlled by precipitation, and the explanation degree of DEM factors in karst areas is significantly higher than that in non-karst areas;4) amongst the climatic factors, Pre, ET and Tem are dominant in the spatial pattern of region water yield capacity. among which Pre has the hi

关 键 词：water yield Integrated Valuation of Ecosystem Services and Trade-offs(InVEST) Geodetector peak-cluster depression basins in southwest of Guangxi China 

分 类 号：P9[天文地球—自然地理学]