干旱区生态环境知识资源中心(Arid): Spatially Non-Stationary Relationships between Changing Environment and Water Yield Services in Watersheds of China's Climate Transition Zones

Arid

DOI	10.3390/rs14205078
	Spatially Non-Stationary Relationships between Changing Environment and Water Yield Services in Watersheds of China's Climate Transition Zones
	Cao, Zhe; Zhu, Wei; Luo, Pingping; Wang, Shuangtao; Tang, Zeming; Zhang, Yuzhu; Guo, Bin
通讯作者	Luo, PP
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:20
英文摘要	Identifying the spatial and temporal heterogeneity of water-related ecosystem services and the mechanisms influencing them is essential for optimizing ecosystem governance and maintaining watershed sustainable development. However, the complex and undiscovered interplay between human activities and natural factors underpins the solutions to the water scarcity and flooding challenges faced by climate transition zone basins. This study used a multiple spatial-scale analysis to: (i) quantify the spatial and temporal variations of the water yield ecosystem service (WYs) of the Wei River Basin (WRB) from 2000 to 2020 using the InVEST model and remote sensing data; and (ii) look at how human activities, climate, topography, and vegetation affect the WYs at the climate transition zone sub-catchment scale using the geographical detector model and multi-scale geographically weighted regression (MGWR). The conclusive research reveals that there would be a gradual increase in WYs between the years 2000 and 2020, as well as a distinct and very different spatial aggregation along the climatic divide. The average yearly precipitation was shown to be particularly linked to the water yield of the WRB. The interplay of human, climatic, plant, and terrain variables has a substantially higher influence than most single factors on the geographical differentiation of WYs. Bivariate enhancement and non-linear enhancement are the most common types of factor interactions. This shows that there are significant interactions between natural and human variables. Our study shows that precipitation and temperature are the main factors that cause WYs in the semi-arid zone. In the semi-humid zone, precipitation and vegetation are the key controlling factors that cause WYs. We provide new perspectives for understanding and optimizing ecosystem management by comparing the drivers of WYS in sub-basins with different climatic conditions. Based on the findings, we recommend that particular attention should be paid to ecosystem restoration practices in watersheds in climatic transition zones.
英文关键词	InVEST model geographical detector MGWR model the Wei River basin
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000875993900001
WOS关键词	ECOSYSTEM SERVICES ; LAND-USE ; BALANCE MODEL ; URBANIZATION ; LANDSCAPE ; SCIENCE ; IMPACT ; TOOLS ; BASIN
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394220
推荐引用方式 GB/T 7714	Cao, Zhe,Zhu, Wei,Luo, Pingping,et al. Spatially Non-Stationary Relationships between Changing Environment and Water Yield Services in Watersheds of China's Climate Transition Zones[J],2022,14(20).
APA	Cao, Zhe.,Zhu, Wei.,Luo, Pingping.,Wang, Shuangtao.,Tang, Zeming.,...&Guo, Bin.(2022).Spatially Non-Stationary Relationships between Changing Environment and Water Yield Services in Watersheds of China's Climate Transition Zones.REMOTE SENSING,14(20).
MLA	Cao, Zhe,et al."Spatially Non-Stationary Relationships between Changing Environment and Water Yield Services in Watersheds of China's Climate Transition Zones".REMOTE SENSING 14.20(2022).