气候变化领域集成服务门户(CCPortal): Multiscale Analysis for Identifying the Impact of Human and Natural Factors on Water-Related Ecosystem Services

CCPortal

DOI	10.3390/su16051738
	Multiscale Analysis for Identifying the Impact of Human and Natural Factors on Water-Related Ecosystem Services
	Jiang, Yuncheng; Ouyang, Bin; Yan, Zhigang
发表日期	2024
EISSN	2071-1050
起始页码	16
结束页码	5
卷号	16 期号:5
英文摘要	Accurately identifying and obtaining changes in ecosystem drivers and the spatial heterogeneity of their impacts on ecosystem services can provide comprehensive support information for ecological governance. In this study, we investigate the changes in the relationship between human and natural factors and water-related ecosystem services (WESs) in different sub-watersheds across various time periods, focusing on four aspects: single-factor effect, nonlinear effect, interactive effects, and spatial characteristics. Taking the southern basins, which have complex topographic, climatic, and economic characteristics, as a study area, the study area was divided into four sub-basins with different characteristics. WESs of water yield, soil conservation, and water purification were quantified using the InVEST model for five periods from 2000 to 2020, and the OPGD and MGWR models were integrated to assess the impacts of 15 factors on WESs and their spatial characteristics. The results show the following: (1) After comparing the data over multiple time periods, climate factors such as precipitation (0.4033) are the primary factors affecting WESs in the southern basins, and human factors such as construction area (0.0688) have a weaker influence. The direct impact of human factors on WESs is not significant in the short term but increases over time. (2) Different sub-watersheds have different impacts on WESs. For instance, human activity intensity (0.3518) is a key factor affecting WESs in the Inward Flowing Area, while precipitation is the primary factor influencing WESs in other sub-watersheds. (3) Influencing factors and WES changes are often nonlinearly correlated; however, once a certain threshold is exceeded, they may have adverse impacts on WESs. (4) When a single factor interacts with other factors, its explanatory power tends to increase. (5) Compared to traditional methods, the estimation accuracy of MGWR is higher. Intense human activities can adversely affect WESs, while abundant precipitation creates favorable conditions for the formation of WESs. Therefore, integrating long-time-series multi-remote sensing data with OPGD and MGWR models is suitable for identifying and analyzing the driving mechanisms of human and natural factors that influence changes in WESs. Against the backdrop of global change, elucidating the driving factors of ecosystem services can provide crucial insights for developing practical policies and land management applications.
英文关键词	water-related ecosystem services; multi-remote sensing data; geographical detector model; multiscale geographically weighted regression; spatial characteristic
语种	英语
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号	WOS:001182980100001
来源期刊	SUSTAINABILITY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/306022
作者单位	China University of Mining & Technology
推荐引用方式 GB/T 7714	Jiang, Yuncheng,Ouyang, Bin,Yan, Zhigang. Multiscale Analysis for Identifying the Impact of Human and Natural Factors on Water-Related Ecosystem Services[J],2024,16(5).
APA	Jiang, Yuncheng,Ouyang, Bin,&Yan, Zhigang.(2024).Multiscale Analysis for Identifying the Impact of Human and Natural Factors on Water-Related Ecosystem Services.SUSTAINABILITY,16(5).
MLA	Jiang, Yuncheng,et al."Multiscale Analysis for Identifying the Impact of Human and Natural Factors on Water-Related Ecosystem Services".SUSTAINABILITY 16.5(2024).