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| DOI | 10.1016/j.envres.2024.118450 |
| Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India | |
| 发表日期 | 2024 |
| ISSN | 0013-9351 |
| EISSN | 1096-0953 |
| 起始页码 | 250 |
| 卷号 | 250 |
| 英文摘要 | Assessing the relative importance of climate change and human activities is important in developing sustainable management policies for regional land use. In this study, multiple remote sensing datasets, i.e. CHIRPS (Climate Hazard Group InfraRed Precipitation with Station Data) precipitation, MODIS Land Surface Temperature (LST), Enhanced Vegetation Index (EVI), Potential Evapotranspiration (PET), Soil Moisture (SM), WorldPop, and nighttime light have been analyzed to investigate the effect that climate change (CC) and regional human activities (HA) have on vegetation dynamics in eastern India for the period 2000 to 2022. The relative influence of climate and anthropogenic factors is evaluated on the basis of non-parametric statistics i.e., Mann-Kendall and Sen's slope estimator. Significant spatial and elevation-dependent variations in precipitation and LST are evident. Areas at higher elevations exhibit increased mean annual temperatures (0.22 degrees C/year, p < 0.05) and reduced winter precipitation over the last two decades, while the northern and southwest parts of West Bengal witnessed increased mean annual precipitation (17.3 mm/year, p < 0.05) and a slight cooling trend. Temperature and precipitation trends are shown to collectively impact EVI distribution. While there is a negative spatial correlation between LST and EVI, the relationship between precipitation and EVI is positive and stronger (R-2 = 0.83, p < 0.05). Associated hydroclimatic parameters are potent drivers of EVI, whereby PET in the southwestern regions leads to markedly lower SM. The relative importance of CC and HA on EVI also varies spatially. Near the major conurbation of Kolkata, and confirmed by nighttime light and population density data, changes in vegetation cover are very clearly dominated by HA (87%). In contrast, CC emerges as the dominant driver of EVI (70-85%) in the higher elevation northern regions of the state but also in the southeast. Our findings inform policy regarding the future sustainability of vulnerable socio-hydroclimatic systems across the entire state. |
| 英文关键词 | Climate variation; Vegetation dynamics; Anthropogenic activities; Non -parametric trend test; Google earth engine; West Bengal |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| WOS类目 | Environmental Sciences ; Public, Environmental & Occupational Health |
| WOS记录号 | WOS:001198947200001 |
| 来源期刊 | ENVIRONMENTAL RESEARCH
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/291106 |
| 作者单位 | Chinese Academy of Sciences; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Nanjing University; University of Cape Town; Jeju National University; Pusan National University; University of Dar es Salaam; Coventry University |
| 推荐引用方式 GB/T 7714 | . Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India[J],2024,250. |
| APA | (2024).Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India.ENVIRONMENTAL RESEARCH,250. |
| MLA | "Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India".ENVIRONMENTAL RESEARCH 250(2024). |
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