Attribution analysis for water yield service based on the geographical detector method: A case study of the Hengduan Mountain region

被引:0
作者
Erfu Dai
Yahui Wang
机构
[1] CAS,Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research
[2] University of Chinese Academy of Sciences,undefined
来源
Journal of Geographical Sciences | 2020年 / 30卷
关键词
water yield service; Hengduan Mountain region; InVEST software; geographical detector; attribution analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Ecosystem services, which include water yield services, have been incorporated into decision processes of regional land use planning and sustainable development. Spatial pattern characteristics and identification of factors that influence water yield are the basis for decision making. However, there are limited studies on the driving mechanisms that affect the spatial heterogeneity of ecosystem services. In this study, we used the Hengduan Mountain region in southwest China, with obvious spatial heterogeneity, as the research site. The water yield module in the InVEST software was used to simulate the spatial distribution of water yield. Also, quantitative attribution analysis was conducted for various geomorphological and climatic zones in the Hengduan Mountain region by using the geographical detector method. Influencing factors, such as climate, topography, soil, vegetation type, and land use type and pattern, were taken into consideration for this analysis. Four key findings were obtained. First, water yield spatial heterogeneity is influenced most by climate-related factors, where precipitation and evapotranspiration are the dominant factors. Second, the relative importance of each impact factor to the water yield heterogeneity differs significantly by geomorphological and climatic zones. In flat areas, the influence of evapotranspiration is higher than that of precipitation. As relief increases, the importance of precipitation increases and eventually, it becomes the most influential factor. Evapotranspiration is the most influential factor in a plateau climate zone, while in the mid-subtropical zone, precipitation is the main controlling factor. Third, land use type is also an important driving force in flat areas. Thus, more attention should be paid to urbanization and land use planning, which involves land use changes, to mitigate the impact on water yield spatial pattern. The fourth finding was that a risk detector showed that Primarosol and Anthropogenic soil areas, shrub areas, and areas with slope <5° and 25°–35° should be recognized as water yield important zones, while the corresponding elevation values are different among different geomorphological and climatic zones. Therefore, the spatial heterogeneity and influencing factors in different zones should be fully considered while planning the maintenance and protection of water yield services in the Hengduan Mountain region.
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页码:1005 / 1020
页数:15
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[1]  
Ahmed M A A(2017)Spatially-explicit modeling of multi-scale drivers of aboveground forest biomass and water yield in watersheds of the Southeastern United States Journal of Environmental Management 199 199-158
[2]  
Abd-Elrahman A(2013)Bringing ecosystem services into economic decision-making: Land use in the United Kingdom Science 341 341-45
[3]  
Escobedo F J(2011)Modelling ecosystem water supply services across the Lancang River Basin Journal of Resources and Ecology 2 322-327
[4]  
Bateman I J(2016)Urbanization as a land use change driver of forest ecosystem services Land Use Policy 54 54-188
[5]  
Harwood A R(2015)The IPBES conceptual framework: Connecting nature and people Current Opinion in Environmental Sustainability 14 14-1
[6]  
Mace G M(2009)The main terrestrial ecosystem services and ecological security in China Advances in Earth Science 24 571-576
[7]  
Chen L(2012)Integrating ecosystem-service tradeoffs into land-use decisions Proceedings of the National Academy of Sciences of the United States of America 109 109-7565
[8]  
Xie G(2015)Natural capital and ecosystem services informing decisions: From promise to practice Proceedings of the National Academy of Sciences of the United States of America 112 112-7348
[9]  
Zhang C(2018)The runoff generation simulation and its spatial variation analysis in Sanchahe basin as the south source of Wujiang Acta Geographica Sinica 73 1268-1282
[10]  
Delphin S(2018)Integrating ecosystem services trade-offs with paddy land-to-dry land decisions: A scenario approach in Erhai Lake Basin, southwest China Science of the Total Environment 625 625-849