首页|Assessment of desertification sensitivity using an improved MEDALUS model in Northern China

Assessment of desertification sensitivity using an improved MEDALUS model in Northern China

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Assessment of land sensitivity to desertification is an important step to support desertification monitoring and control.Based on the Mediterranean Desertification and Land Use(MEDALUS)model,we defined four quality indicators(soil,climate,vegetation and management)to evaluate the sensitivity of land in northern China to desertification.We improved MEDALUS via excluding cities from the areas at risk of desertification by means of defining a threshold value for population density.The framework,validated in northern China,further optimizes the model to link priority areas and land restoration programmed to support desertification control.We found that the four indicators influenced and restricted each other,which jointly affected the distribution of desertification sensitivity in northern China.The spatial distribution of sensitivity in northern China showed large regional differences,with clear boundaries and concentrated distributions of regions with high and low sensitivity;the overall sensitivity decreased,with some areas rated as having moderate,severe,and extremely severe sensitivity changing to slight sensitivity;and the influence weight was much higher for the management quality index than for the climate,vegetation,and soil indexes.This suggests that management was the main factor that affected desertification sensitivity in northern China,and that climate factors exacerbated sensitivity,but the factors that are driving the spatial heterogeneity of the influencing factors need further study.

DesertificationSensitivityMEDALUSFactor analysisNorthern China

NingJing Tan、CaiXia Zhang、YingYing Wu、ZhenTing Wang

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Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou,Gansu 730000,China

University of Chinese Academy of Sciences,Beijing 100049,China

Research Station of Gobi Desert Ecology and Environment Northwest Institute of Eco-environment and Resources,Chinese Academy of Sciences,Lanzhou,Gansu 730000,China

National Key Research and Development Program of ChinaNational Nature Science Foundation of China

2020YFA060840441101006

2024

寒旱区科学(英文版)
中国科学院寒区旱区环境与工程研究所,科学出版社有限责任公司

寒旱区科学(英文版)

影响因子:0.237
ISSN:1674-3822
年,卷(期):2024.16(3)