标題： Risk assessment of land ecology on a regional scale: Application of the relative risk model to the mining city of Daye, China作者： Guo, K (Guo, Kai); Kuai, X (Kuai, Xi); Chen, YY (Chen, Yiyun); Qi, L (Qi, Lin); Zhang, L (Zhang, Lei); Liu, YF (Liu, Yanfang)

來源出版物：HUMAN AND ECOLOGICAL RISK ASSESSMENT 卷：23期：3 SI頁碼：550-574 DOI：10.1080/10807039.2016.1255137 出版年：

摘要： The ecological risk assessment of land ecosystems plays a vital role in land environment protection and management in China. To identify the ecological impairment in land ecosystems, risk assessment of regional land ecology was conducted in Daye, a traditional mining city in Central China, using the relative risk model (RRM). The study area was divided into six sub-regions; and the sources, stressors, habitats, and end points of the impairment were identified. A conceptual model was built to represent the ecological interactions among risk components. Results showed the following: (1) The traditional iron-coal mining sub-region and the mineral processing sub-region exhibited high risk. (2) Mining was the largest risk source, followed by solid waste piling and urbanization. (3) Disappearance of habitats was the greatest risk stressor, followed by the accumulation of pollutants and heavy metals. (4) Among the eight identified habitats, the lake habitat was the most likely to be affected. (5) Health threats, soil contamination, and landscape aesthetic dysfunctions appeared to be the end points under the largest risk pressure. Finally, Monte Carlo analysis was used to evaluate the effects of uncertainty on risk model predictions. Our assessment model was proven to be generally valid for regional land ecology risk assessment.

入藏号：WOS:000399325200011

文獻類型：Article

語種：English

作者關鍵詞： regional risk assessment; multiple stressors; relative risk model; land ecosystem; Monte Carlo analysis

擴展關鍵詞：RAIN-FOREST RESERVE; MULTIPLE STRESSORS; BAYESIAN NETWORKS; SOIL-EROSION; CHERRY-POINT; MANAGEMENT; CONSERVATION; AREA; URBANIZATION; SYSTEM

通訊作者地址：Liu, YF (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

電子郵件地址：yfliuwhu@gmail.com

地址： [Guo, Kai; Kuai, Xi; Chen, Yiyun; Qi, Lin; Zhang, Lei; Liu, Yanfang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

研究方向：Biodiversity & Conservation; Environmental Sciences & Ecology

ISSN：1080-7039

eISSN:1549-7860

影響因子：1.306