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Spatiotemporal variability in drivers of grassland degradation and recovery under economic transformation in Mongolia

文献类型：期刊论文

作者Li, Ting6; Li, Sha6; Li, Pengfei6; Huang, Jing6; Wang, Juanle5; Ochir, Altansukh4; Yang, Meihuan6; Wang, Tao6; Chan, Faith Ka Shun1,2,3
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
出版日期2025-10-01
卷号393页码:127097
关键词Grassland dynamics Driving forces Bayesian belief network Livestock industry Mongolia
ISSN号0301-4797
DOI10.1016/j.jenvman.2025.127097
产权排序2
文献子类Article
英文摘要Over the past few decades, grasslands in countries traditionally reliant on livestock industry have faced dual pressures from climate change and economic transformation driven by international market demands. However, understanding on the spatiotemporal variability of grassland change drivers remains insufficient, hindering the formulation of effective strategies for mitigating grassland degradation. This study conducted a comparative analysis on grassland degradation and recovery in Mongolia over two time periods (2000-2010 and 2000-2020) by integrating the Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI), and Net Primary Productivity (NPP). The spatial livestock density across the country was derived by downscaling the Global Gridded Livestock dataset. Based on this, a Bayesian Belief Network (BBN) model incorporating twelve driving factors was developed and integrated with Geographic Detector to jointly identify the spatiotemporal heterogeneity of grassland change drivers. The results indicated that grasslands in Mongolia have gradually shifted from non-significant degradation to non-significant recovery, with restored areas covering 19.89 % of the country's land area by 2020. Precipitation, evapotranspiration, and temperature were the primary drivers of grassland change in both periods, with their combined contributions being 74.66 % in 2010 and 66.76 % in 2020. However, nitrogen dioxide (NO2) concentration and the human footprint have exerted greater impacts on grassland dynamics than livestock grazing under the economic transformation, which weakened grassland recovery in northern regions of the country. Additionally, expanding transportation in southern provinces and nomadic activities in the western regions are expected to exacerbate grassland degradation in Mongolia. This study provides insights into preventing grassland degradation risks during economic transformation in traditional livestock countries.
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WOS关键词BAYESIAN BELIEF NETWORKS ; LAND DEGRADATION ; ECOSYSTEM SERVICES ; DRIVING FACTORS ; CLIMATE-CHANGE ; TRADE-OFFS ; NEUTRALITY ; IMPACTS ; CHINA
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001592874900003
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/217440]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Li, Pengfei
作者单位1.Univ Leeds, WaterLeeds Res Inst, Leeds LS2 9JT, England
2.Univ Leeds, Sch Geog, Leeds LS2 9JT, England;
3.Univ Nottingham Ningbo China, Sch Geog Sci, Ningbo 315100, Peoples R China;
4.Natl Univ Mongolia, Sch Engn & Appl Sci, Dept Environm & Forest Engn, Environm Engn Lab,Inst Sustainable Dev, Ulaanbaatar 14201, Mongolia;
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;
6.Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Peoples R China;
推荐引用方式
GB/T 7714		 Li, Ting,Li, Sha,Li, Pengfei,et al. Spatiotemporal variability in drivers of grassland degradation and recovery under economic transformation in Mongolia[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2025,393:127097.
APA Li, Ting.,Li, Sha.,Li, Pengfei.,Huang, Jing.,Wang, Juanle.,...&Chan, Faith Ka Shun.(2025).Spatiotemporal variability in drivers of grassland degradation and recovery under economic transformation in Mongolia.JOURNAL OF ENVIRONMENTAL MANAGEMENT,393,127097.
MLA Li, Ting,et al."Spatiotemporal variability in drivers of grassland degradation and recovery under economic transformation in Mongolia".JOURNAL OF ENVIRONMENTAL MANAGEMENT 393(2025):127097.

入库方式： OAI收割

来源：地理科学与资源研究所

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