Global impact of climate change on soil erosion and potential for adaptation through soil conservation

环境科学 气候变化 水土保持 腐蚀 森林砍伐(计算机科学) 土地利用、土地利用的变化和林业 土地利用 地表径流 生态系统服务 环境资源管理 农业 水文学(农业) 生态系统 地理 生态学 计算机科学 生物 工程类 古生物学 考古 岩土工程 程序设计语言
作者
Joris Eekhout,Joris de Vente
出处
期刊:Earth-Science Reviews [Elsevier BV]
卷期号:226: 103921-103921 被引量:238
标识
DOI:10.1016/j.earscirev.2022.103921
摘要

Climate change is expected to lead to increased soil erosion in many locations worldwide affecting ecosystem services and human well-being. Through a systematic review of 224 modelling studies, we provide a global assessment of the impact of climate change on soil erosion and the adaptation potential through land use change and soil conservation. We account for the robustness of each study based on a statistical analysis of ten methodological aspects and an expert consultation. Results show a global increasing trend in soil erosion towards the end of the 21st century, with the highest increase projected in semi-arid regions. Land use change characterized by agricultural expansion and deforestation aggravate the impact. Reforestation, agricultural land abandonment and soil conservation practices can entirely compensate the impact of climate change on soil erosion. This stresses the need for soil conservation and integrated land use planning. From the obtained weights per study we can conclude that there is a lot of uncertainty in the methods applied, without a clear trend towards more robust studies. Based on the results of the expert consultation, we recommend to use a climate model ensemble of at least five climate models, based on the latest CMIP6 climate scenarios. These data should be downscaled and bias corrected using trend preserving quantile methods. Finally, the post-processed climate data should be applied in a soil erosion model forced by precipitation and runoff. Considering the most robust methodologies of the different aspects of the uncertainty cascade will lead to better spatial evaluation of the impact of climate change on soil erosion and identification of most effective adaptation strategies.
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