干旱区生态环境知识资源中心(Arid): Ecological risk assessment of grassland vegetation change based on Bayesian model in Xilin Gol League, China

Arid

DOI	10.1016/j.ecolind.2023.111199
	Ecological risk assessment of grassland vegetation change based on Bayesian model in Xilin Gol League, China
	Gao, Xiaotong; Cao, Chunxiang; Xu, Min; Yang, Xinwei; Li, Jingbo; Duerler, Robert Shea; Wang, Kaimin; Guo, Heyi; Yang, Yujie
通讯作者	Cao, CX
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2023
卷号	157
英文摘要	As an essential ecological barrier in the north of China, the grassland degradation situation in the Xilin Gol League of Inner Mongolia has remained severe in recent years. Based on data spanning from 2010 to 2022, this study utilizes a set of ten indicators, encompassing altitude, temperature, precipitation, wind speed, FVC, LAI, FRAR, NPP, ET, and above-ground biomass, to construct a Bayesian model for assessing ecological risks asso-ciated with vegetation change in the Xilin Gol League. In the case of the most crucial parameter, above-ground biomass, we integrate spectral bands, vegetation indices, and ground-truth data, employing the Random Forest algorithm to estimate the above-ground biomass in the Xilin Gol League. The study further applies the Mann -Kendall trend test and Sen's slope estimation to analyze changes in this parameter and employs it as an indi-cator for assessing grassland degradation. The results showed that (1) Overall, the risk level decreases gradually from the west to the east and aligns with the grassland types of the Xilin Gol League. (2) In terms of spatial and temporal distribution, medium and high-risk areas are primarily located in the western region of the Xilin Gol League, showing a distinct westward shift from 2010 to 2022. (3) Areas with higher grassland degradation risk are characterized by lower altitudes, higher temperatures, less precipitation, lower vegetation coverage, and reduced potential evapotranspiration. (4) Under the pressures of both climate warming and vegetation change, there has been a significant shift in grassland degradation risk levels in the Xilin Gol League. The application of the Bayesian model effectively reveals intricate causal relationships among various variables, such as climate, terrain, and vegetation dynamics. This study could provide guidance for the prevention and control of grassland degradation in the Xilin Gol League.
英文关键词	Vegetation change Grassland degradation Ecological risk assessment Bayesian model
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:001111331900001
WOS关键词	LAND DEGRADATION ; INNER-MONGOLIA ; ABOVEGROUND BIOMASS ; TIBETAN PLATEAU ; COVER ; NDVI ; DESERTIFICATION ; RESTORATION ; NETWORKS ; CLIMATE
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/2XILL650/395987
推荐引用方式 GB/T 7714	Gao, Xiaotong,Cao, Chunxiang,Xu, Min,et al. Ecological risk assessment of grassland vegetation change based on Bayesian model in Xilin Gol League, China[J],2023,157.
APA	Gao, Xiaotong.,Cao, Chunxiang.,Xu, Min.,Yang, Xinwei.,Li, Jingbo.,...&Yang, Yujie.(2023).Ecological risk assessment of grassland vegetation change based on Bayesian model in Xilin Gol League, China.ECOLOGICAL INDICATORS,157.
MLA	Gao, Xiaotong,et al."Ecological risk assessment of grassland vegetation change based on Bayesian model in Xilin Gol League, China".ECOLOGICAL INDICATORS 157(2023).