Modeling Grassland Ecosystem Responses to Coupled Climate and Socioeconomic Influences in Multi-Spatial-And-Temporal Scales
文献类型：期刊论文
| 作者 | Xie, Y.; Crary, D.; Bai, Y.; Cui, X.; Zhang, A. |
| 刊名 | JOURNAL OF ENVIRONMENTAL INFORMATICS
 |
| 出版日期 | 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 |
| 出版地 | REGINA |
| 电子版国际标准刊号 | 1684-8799 |
| WOS关键词 | PLANT-RESPONSES ; GROWTH ; PRECIPITATION ; DYNAMICS ; SYSTEMS ; SPACE |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000454633700004 |
| 出版者 | INT SOC ENVIRON INFORM SCI |
| 资助机构 | Land-Cover/Land-Use Program at NASA [NNX09 AK87G] |
| 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.Zhang, A.] Hebei Univ Engn, Sch Hydropower, Handan 056021, Peoples R China 2.[Xie, Y. 3.[Xie, Y.] Eastern Michigan Univ, Inst Geospatial Res & Educ, Ypsilanti, MI 48197 USA 4.[Cui, X.] Wuhan Univ, Int Sch Software, Wuhan 430079, Hubei, Peoples R China 5.[Bai, Y.] Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China 6.[Crary, D.] Eastern Michigan Univ, Dept Econ, Ypsilanti, MI 48197 USA |
| 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. |
入库方式： OAI收割
来源：植物研究所
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