Assessing the impacts of human activities and climate variations on grassland productivity by partial least squares structural equation modeling (PLS-SEM)

doi:10.1007/s10533-017-0333-x

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	Assessing the impacts of human activities and climate variations on grassland productivity by partial least squares structural equation modeling (PLS-SEM)
	Sha Zongyao ; Xie Yichun 1; Tan Xicheng ; Bai Yongfei 2; Li, Jonathan 3; Liu Xuefeng 4
刊名	JOURNAL OF ARID LAND
	2017
卷号	9 期号:4 页码:473-488
关键词	spatial modeling human-natural interaction grazing urbanization road network
ISSN号	1674-6767
DOI	10.1007/s10533-017-0333-x
文献子类	Article
英文摘要	The cause-effect associations between geographical phenomena are an important focus in ecological research. Recent studies in structural equation modeling (SEM) demonstrated the potential for analyzing such associations. We applied the variance-based partial least squares SEM (PLS-SEM) and geographically-weighted regression (GWR) modeling to assess the human-climate impact on grassland productivity represented by above-ground biomass (AGB). The human and climate factors and their interaction were taken to explain the AGB variance by a PLS-SEM developed for the grassland ecosystem in Inner Mongolia, China. Results indicated that 65.5% of the AGB variance could be explained by the human and climate factors and their interaction. The case study showed that the human and climate factors imposed a significant and negative impact on the AGB and that their interaction alleviated to some extent the threat from the intensified human-climate pressure. The alleviation may be attributable to vegetation adaptation to high human-climate stresses, to human adaptation to climate conditions or/and to recent vegetation restoration programs in the highly degraded areas. Furthermore, the AGB response to the human and climate factors modeled by GWR exhibited significant spatial variations. This study demonstrated that the combination of PLS-SEM and GWR model is feasible to investigate the cause-effect relation in socio-ecological systems.
学科主题	Environmental Sciences & Ecology ; Geology
电子版国际标准刊号	2194-7783
出版地	HEIDELBERG
WOS关键词	GEOGRAPHICALLY WEIGHTED REGRESSION ; INNER-MONGOLIA ; VEGETATION ; VARIABLES ; PATTERNS ; VULNERABILITY ; MANAGEMENT ; DYNAMICS ; STEPPE ; CHINA
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000402394200005
资助机构	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41371371] ; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA05050402]
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/22173]
专题	植被与环境变化国家重点实验室
作者单位	1.Wuhan Univ, Int Software Sch, Wuhan 430079, Peoples R China 2.Eastern Michigan Univ, Dept Geog & Geol, Ypsilanti, MI 48197 USA 3.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China 4.Univ Waterloo, Dept Geog & Environm Management, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada 5.Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200072, Peoples R China
推荐引用方式 GB/T 7714	Sha Zongyao,Xie Yichun,Tan Xicheng,et al. Assessing the impacts of human activities and climate variations on grassland productivity by partial least squares structural equation modeling (PLS-SEM)[J]. JOURNAL OF ARID LAND,2017,9(4):473-488.
APA	Sha Zongyao,Xie Yichun,Tan Xicheng,Bai Yongfei,Li, Jonathan,&Liu Xuefeng.(2017).Assessing the impacts of human activities and climate variations on grassland productivity by partial least squares structural equation modeling (PLS-SEM).JOURNAL OF ARID LAND,9(4),473-488.
MLA	Sha Zongyao,et al."Assessing the impacts of human activities and climate variations on grassland productivity by partial least squares structural equation modeling (PLS-SEM)".JOURNAL OF ARID LAND 9.4(2017):473-488.