Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.ecolind.2023.110978 |
Quantitative analysis of NDVI driving factors based on the geographical detector model in the Chengdu-Chongqing region, China | |
Zhang, Yan; Zhang, Luoqi; Wang, Junyi; Dong, Gaocheng; Wei, Yali | |
通讯作者 | Wei, YL |
来源期刊 | ECOLOGICAL INDICATORS
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ISSN | 1470-160X |
EISSN | 1872-7034 |
出版年 | 2023 |
卷号 | 155 |
英文摘要 | In the circumstance of global change, studying the dynamic changes of vegetation and the factors that influence it holds immense practical significance to monitor the quality of the regional ecological environment and improve the structure and function of ecosystems. Therefore, based on NDVI data, combined with natural and anthropogenic activities, this study focused on the spatiotemporal evolution characteristics and stability of NDVI in the Chengdu-Chongqing region from 2001 to 2020 at multiple spatiotemporal scales, and quantitatively in-vestigates the main influencing factors driving vegetation NDVI spatial differentiation using Theil-Sen Medium slope estimation, Mann-Kendall significance, stability analysis and geographical detector. The findings indicated that: (1) The overall NDVI exhibited favorable levels over the 2001-2020 period; (2) The upward trends observed in the NDVI values indicated an enhancement in the ecological environment of the investigation area; (3) The spatial coefficient of variation for NDVI in the investigation region was computed as 0.048, suggesting a high degree of stability in NDVI values across the region; (4) NDVI is primarily affected by a range of variances in natural phenomena and anthropogenic activities. The collective influence of environmental factors and anthropogenic activities holds a more substantial sway over NDVI. The research results aim to offer guidance for the execution of vegetation restoration initiatives and the establishment of policies for the preservation of the ecological environment in the upstream region of the Yangtze River. |
英文关键词 | NDVI Geographical detector Vegetation Chengdu-Chongqing region |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:001148781500001 |
WOS关键词 | YANGTZE-RIVER BASIN ; CLIMATE-CHANGE ; VEGETATION NDVI ; TEMPERATURE ; DYNAMICS ; IMPACTS ; COVER ; TREND ; MODIS ; DESERTIFICATION |
WOS类目 | Biodiversity Conservation ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/395970 |
推荐引用方式 GB/T 7714 | Zhang, Yan,Zhang, Luoqi,Wang, Junyi,et al. Quantitative analysis of NDVI driving factors based on the geographical detector model in the Chengdu-Chongqing region, China[J],2023,155. |
APA | Zhang, Yan,Zhang, Luoqi,Wang, Junyi,Dong, Gaocheng,&Wei, Yali.(2023).Quantitative analysis of NDVI driving factors based on the geographical detector model in the Chengdu-Chongqing region, China.ECOLOGICAL INDICATORS,155. |
MLA | Zhang, Yan,et al."Quantitative analysis of NDVI driving factors based on the geographical detector model in the Chengdu-Chongqing region, China".ECOLOGICAL INDICATORS 155(2023). |
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