气候变化领域集成服务门户(CCPortal): Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India

CCPortal

DOI	10.1016/j.envres.2024.118450
	Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India
	Banerjee, Abhishek; Kang, Shichang; Meadows, Michael E.; Sajjad, Wasim; Bahadur, Ali; Ul Moazzam, Muhammad Farhan; Xia, Zilong; Mango, Joseph; Das, Bappa; Kirsten, Kelly L.
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
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/291107
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	Banerjee, Abhishek,Kang, Shichang,Meadows, Michael E.,et al. Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India[J],2024,250.
APA	Banerjee, Abhishek.,Kang, Shichang.,Meadows, Michael E..,Sajjad, Wasim.,Bahadur, Ali.,...&Kirsten, Kelly L..(2024).Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India.ENVIRONMENTAL RESEARCH,250.
MLA	Banerjee, Abhishek,et al."Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India".ENVIRONMENTAL RESEARCH 250(2024).