Modeling Grassland Ecosystem Responses to Coupled Climate and Socioeconomic Influences in Multi-Spatial-And-Temporal Scales

doi:10.3808/jei.201600337

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	Modeling Grassland Ecosystem Responses to Coupled Climate and Socioeconomic Influences in Multi-Spatial-And-Temporal Scales
	Xie, Y.; Crary, D.; Bai, Y.; Cui, X.; Zhang, A.
刊名	JOURNAL OF ENVIRONMENTAL INFORMATICS
	2019
卷号	33 期号:1 页码:37-46
关键词	climate change data assimilation grasslands multi-dimensional panel data model socioeconomic transformation spatiotemporal analysis
ISSN号	1726-2135
DOI	10.3808/jei.201600337
文献子类	Article
英文摘要	Assessment of ecosystem responses to coupled human and environmental impacts is increasingly acknowledged as an important research of environmental informatics. However, current ecological and environmental models are not effective for capturing the coupled influences due to prevalent approaches of separating human interferences from environmental changes, common uses of time-averaged or cumulative data, and the lack of efficient methods integrating environmental observations with socioeconomic statistics that are tabulated over different spatial units. In this paper, we presented an integrated modeling framework to tackle these limitations. We developed data-assimilation techniques to integrate ecological and climate data with socioeconomic statistics into a coherent dataset on the basis of conforming spatial units. These data were used in panel regressions to estimate responses of grassland productivity to coupled climate factors (seven) and socioeconomic indicators (ten) across 37 counties for nine 16-day growing periods each year from 2000 to 2010. We also advanced the analysis of climate impacts by allowing for quadratic rather than linear impacts and by incorporating lagged time effects for the dependent variable. The case study was conducted in Inner Mongolia Autonomous Region of China. Our findings provided strong evidence that the grassland productivity responded significantly to variations in both climate factors and socioeconomic variables; displayed significant seasonal, annual, and regional variation; and revealed cumulative influences from prior climate conditions and extreme climate fluctuations. The assimilation of climatic, ecological and socioeconomic data into a big-data set and the application of multi-spatial-and-temporal panel regression model were much more comprehensive than prior studies.
学科主题	Environmental Sciences
电子版国际标准刊号	1684-8799
出版地	REGINA
WOS关键词	PLANT-RESPONSES ; GROWTH ; PRECIPITATION ; DYNAMICS ; SYSTEMS ; SPACE
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	INT SOC ENVIRON INFORM SCI
WOS记录号	WOS:000454633700004
资助机构	Land-Cover/Land-Use Program at NASA [NNX09 AK87G]
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/19830]
专题	植被与环境变化国家重点实验室
作者单位	1.[Xie, Y.] Eastern Michigan Univ, Inst Geospatial Res & Educ, Ypsilanti, MI 48197 USA 2.Zhang, A.] Hebei Univ Engn, Sch Hydropower, Handan 056021, Peoples R China 3.[Cui, X.] Wuhan Univ, Int Sch Software, Wuhan 430079, Hubei, Peoples R China 4.[Bai, Y.] Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China 5.[Crary, D.] Eastern Michigan Univ, Dept Econ, Ypsilanti, MI 48197 USA 6.[Xie, Y.
推荐引用方式 GB/T 7714	Xie, Y.,Crary, D.,Bai, Y.,et al. Modeling Grassland Ecosystem Responses to Coupled Climate and Socioeconomic Influences in Multi-Spatial-And-Temporal Scales[J]. JOURNAL OF ENVIRONMENTAL INFORMATICS,2019,33(1):37-46.
APA	Xie, Y.,Crary, D.,Bai, Y.,Cui, X.,&Zhang, A..(2019).Modeling Grassland Ecosystem Responses to Coupled Climate and Socioeconomic Influences in Multi-Spatial-And-Temporal Scales.JOURNAL OF ENVIRONMENTAL INFORMATICS,33(1),37-46.
MLA	Xie, Y.,et al."Modeling Grassland Ecosystem Responses to Coupled Climate and Socioeconomic Influences in Multi-Spatial-And-Temporal Scales".JOURNAL OF ENVIRONMENTAL INFORMATICS 33.1(2019):37-46.