Arid
DOI10.1016/j.ecolind.2020.106203
An integrated approach for risk assessment of rangeland degradation: A case study in Burqin County, Xinjiang, China
Chen, Yan1,2; Wang, Wei1; Guan, Yang3; Liu, Fangzheng1; Zhang, Yubo1; Du, Jinhong1; Feng, Chunting1; Zhou, Yue1
通讯作者Wang, Wei
来源期刊ECOLOGICAL INDICATORS
ISSN1470-160X
EISSN1872-7034
出版年2020
卷号113
英文摘要Rangeland degradation in China has significant impacts both on the ecosystem and on the pastoralists' life. However, the emphasis of current management practice is always put on the rangeland with serious degradation problem. How to effectively avoid the degradation risks is still unclear. Thus, an integrated approach for rangeland degradation risk assessment was designed, consisting of the analysis of vegetation dynamics, driving forces identification and degradation risk prediction. Firstly, Vegetation Indexes and field survey data were applied to build regression model to calculate the vegetation coverage status and trend of change in each grid. Secondly, the important driving forces of rangeland dynamics were identified based on the local knowledge and objective data. Thirdly, Bayesian Belief Network (BBN) was trained in each seasonal rangeland to predict the probability of rangeland degradation in each grid. Rangeland degradation in Burqin County, Xinjiang, China was served as a case to test the practicability of this approach. The results indicated that during 2000 and 2013 most of the rangeland grids remained stable. Twelve factors were identified to be the driving force of the trend of vegetation coverage dynamics. BBNs showed that in most of the study area degradation risk was less than 50%, and the grids facing the maximum risk were only appeared in a small range. According to the case study, the integrated approach based on Random Forest and BBN model was turned out to be a practical and effective tool for the risk assessment of rangeland degradation.
英文关键词Rangeland degradation Risk analysis Rangeland vegetation coverage Random forest Bayesian belief network
类型Article
语种英语
国家Peoples R China
开放获取类型hybrid
收录类别SCI-E
WOS记录号WOS:000523335900010
WOS关键词SPATIAL VEGETATION PATTERNS ; BAYESIAN BELIEF NETWORKS ; GRASSLAND DEGRADATION ; QUANTITATIVE ASSESSMENT ; CATASTROPHIC SHIFTS ; TRANSITION MODELS ; INNER-MONGOLIA ; DESERTIFICATION ; COVER ; MANAGEMENT
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/2XILL650/319252
作者单位1.Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China;
2.Minist Nat Resources, Land Consolidat & Rehabil Ctr, Beijing 100035, Peoples R China;
3.Chinese Acad Environm Planning, Beijing 100012, Peoples R China
推荐引用方式
GB/T 7714
Chen, Yan,Wang, Wei,Guan, Yang,et al. An integrated approach for risk assessment of rangeland degradation: A case study in Burqin County, Xinjiang, China[J],2020,113.
APA Chen, Yan.,Wang, Wei.,Guan, Yang.,Liu, Fangzheng.,Zhang, Yubo.,...&Zhou, Yue.(2020).An integrated approach for risk assessment of rangeland degradation: A case study in Burqin County, Xinjiang, China.ECOLOGICAL INDICATORS,113.
MLA Chen, Yan,et al."An integrated approach for risk assessment of rangeland degradation: A case study in Burqin County, Xinjiang, China".ECOLOGICAL INDICATORS 113(2020).
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