干旱区生态环境知识资源中心(Arid): Assessing the Spatiotemporal Evolution of Anthropogenic Impacts on Remotely Sensed Vegetation Dynamics in Xinjiang, China

Arid

DOI	10.3390/rs13224651
	Assessing the Spatiotemporal Evolution of Anthropogenic Impacts on Remotely Sensed Vegetation Dynamics in Xinjiang, China
	Guan, Jingyun; Yao, Junqiang; Li, Moyan; Zheng, Jianghua
通讯作者	Zheng, JH (corresponding author), Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China. ; Zheng, JH (corresponding author), Xinjiang Univ, MOE Key Lab Oasis Ecol, Urumqi 830046, Peoples R China. ; Zheng, JH (corresponding author), Xinjiang Univ, Inst Arid Ecol & Environm, Urumqi 830046, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:22
英文摘要	The dynamics of the ecosystem represented by vegetation under the influence of human activities have become an important issue in the study of the regional ecological environment. Xinjiang is one of the most ecologically fragile areas in the world, and vegetation changes have received extensive attention. Xinjiang is one of the most ecologically fragile areas in the world, and vegetation changes have received extensive attention. However, the spatiotemporal patterns and evolutionary trends of anthropogenic impacts on vegetation dynamics in Xinjiang are still unclear. In this study, the anthropogenic impacts on vegetation dynamics were quantitatively assessed by combining the improved normalized difference vegetation index (NDVI) prediction model and the residual analysis method in Xinjiang, China. The human driving factors were analyzed with the support of a stepwise multiple regression model for vegetation changes at the county scale. Based on trend analysis and the Hurst exponent, the spatiotemporal characteristics and evolutionary trends of the impact of human activities on vegetation change were discussed. The results show that (1) the NDVI values in Xinjiang showed a gradually increasing trend at a rate of 0.005/10 years from 1982 to 2018, and the vegetation dynamics mainly showed significant improvements (57.09% of the vegetated areas), especially for crops. (2) The anthropogenic effects of vegetation changes in Xinjiang mainly included positive impact increases (43.22% of the vegetated areas) from 2000 to 2018. Human activities promoted the increase in the NDVI of various vegetation types. Both the positive and negative impacts of human activities increased over the study period, and the growth rate of the positive influence (0.08%/10 years) was higher than that of the negative influence (0.04%/10 years). (3) The cultivated area, GDP of primary industry, and population are the main anthropogenic factors causing the increase in NDVI, which dominate the vegetation greening in 30.34%, 29.22%, and 28.09% of the counties in Xinjiang, respectively. The animal husbandry population, agricultural population, and livestock number are the main anthropogenic factors causing the decrease in NDVI, which dominate the vegetation degradation in 23.60%, 21.35%, and 17.98% of the counties in Xinjiang, respectively. (4) The evolutionary trend of the anthropogenic impact on vegetation dynamics in Xinjiang will be dominated by anti-persistence (53.84% of the vegetated areas), thereby mainly showing that the positive impacts continued to increase (22.56% of the vegetated areas), especially for crops, shrubs, grasslands, and alpine vegetation. Our results are helpful in understanding the characteristics and evolutionary trends of vegetation changes in arid areas caused by human activities and are of significance as a reference for policymakers to appropriately adjust policy guidance in a timely manner to promote the protection and sustainable development of fragile ecosystems.
英文关键词	vegetation dynamics normalized difference vegetation index anthropogenic impact spatiotemporal pattern evolutionary trend
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:000724413800001
WOS关键词	CLIMATE-CHANGE ; ECOLOGICAL RESTORATION ; INNER-MONGOLIA ; PRIMARY PRODUCTIVITY ; LOESS PLATEAU ; COVER CHANGE ; LAND-USE ; RESPONSES ; REGION ; WATER
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373764
作者单位	[Guan, Jingyun; Li, Moyan; Zheng, Jianghua] Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China; [Guan, Jingyun; Li, Moyan; Zheng, Jianghua] Xinjiang Univ, MOE Key Lab Oasis Ecol, Urumqi 830046, Peoples R China; [Guan, Jingyun] Xinjiang Univ Finance & Econ, Coll Tourism, Urumqi 830046, Peoples R China; [Yao, Junqiang] China Meteorol Adm, Inst Desert Meteorol, Urumqi 830046, Peoples R China; [Zheng, Jianghua] Xinjiang Univ, Inst Arid Ecol & Environm, Urumqi 830046, Peoples R China
推荐引用方式 GB/T 7714	Guan, Jingyun,Yao, Junqiang,Li, Moyan,et al. Assessing the Spatiotemporal Evolution of Anthropogenic Impacts on Remotely Sensed Vegetation Dynamics in Xinjiang, China[J],2021,13(22).
APA	Guan, Jingyun,Yao, Junqiang,Li, Moyan,&Zheng, Jianghua.(2021).Assessing the Spatiotemporal Evolution of Anthropogenic Impacts on Remotely Sensed Vegetation Dynamics in Xinjiang, China.REMOTE SENSING,13(22).
MLA	Guan, Jingyun,et al."Assessing the Spatiotemporal Evolution of Anthropogenic Impacts on Remotely Sensed Vegetation Dynamics in Xinjiang, China".REMOTE SENSING 13.22(2021).