Assessing the impacts of human activities and climate variations on grassland productivity by partial least squares structural equation modeling (PLS-SEM)
文献类型：期刊论文
| 作者 | Sha Zongyao; Xie Yichun4; Tan Xicheng; Bai Yongfei3 ; Li, Jonathan2; Liu Xuefeng5
|
| 刊名 | JOURNAL OF ARID LAND
 |
| 出版日期 | 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 |
| 出版地 | HEIDELBERG |
| 电子版国际标准刊号 | 2194-7783 |
| WOS关键词 | GEOGRAPHICALLY WEIGHTED REGRESSION ; INNER-MONGOLIA ; VEGETATION ; VARIABLES ; PATTERNS ; VULNERABILITY ; MANAGEMENT ; DYNAMICS ; STEPPE ; CHINA |
| 语种 | 英语 |
| WOS记录号 | WOS:000402394200005 |
| 出版者 | SPRINGER HEIDELBERG |
| 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] |
| 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.Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200072, Peoples R China 2.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China 3.Eastern Michigan Univ, Dept Geog & Geol, Ypsilanti, MI 48197 USA 4.Wuhan Univ, Int Software Sch, Wuhan 430079, Peoples R China 5.Univ Waterloo, Dept Geog & Environm Management, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada |
| 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. |
入库方式： OAI收割
来源：植物研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。