Center for Ecological Forecasting and Global Change, College of Forestry, Northwest Agriculture and Forest University, Yangling, 712100, China.
Center for Ecological Forecasting and Global Change, College of Forestry, Northwest Agriculture and Forest University, Yangling, 712100, China; Institute of Environment Sciences, Department of Biology Sciences, University of Quebec at Montreal, Case Postale 8888, Succursale Centre-Ville, Montreal, H3C 3P8, Canada.
J Environ Manage. 2019 Nov 15;250:109403. doi: 10.1016/j.jenvman.2019.109403. Epub 2019 Sep 6.
The world is experiencing serious soil losses. Soil erosion has become an important environmental problem in certain regions and is strongly affected by climate and land use changes. By selecting and reviewing 13 extensively used soil water erosion models (SWEMs) from the published literature, we summarize the current model-based knowledge on how climate factors (e.g., rainfall, freeze-thaw cycles, rainstorms, temperature and atmospheric CO concentrations) and land use change impact soil erosion worldwide. This study also provides a critical review of the application of these 13 SWEMs. By comparing model structures, features, prediction accuracies, and erosion processes, we recommend the most suitable SWEMs for different regions of the globe (Asia, Europe, Africa and the America) based on the evaluations of 13 SWEMs. Future soil erosion could be simulated using the RUSLE, LISEM, WEPP v2010.1, SWAT, EPIC, KINEROS and AGNPS models in Asia; the RUSLE, WEPP v2010.1, SWAT, EPIC, WATEM-SEDEM, MEFIDIS, AGNPS and AnnAGNPS models in Europe; the RUSLE, LISEM, SWAT, and AGNPS models in Africa; and the WEPP v2010.1, SWAT, EPIC, KINEROS, AGNPS and AnnAGNPS models in America. Finally, the limitations and challenges of the 13 SWEMs are highlighted.
世界正面临着严重的土壤流失问题。土壤侵蚀已成为某些地区的一个重要环境问题，强烈受到气候和土地利用变化的影响。通过从已发表的文献中选择和回顾 13 个广泛使用的土壤水蚀模型（SWEM），我们总结了目前基于模型的知识，了解气候因素（如降雨、冻融循环、暴风雨、温度和大气 CO2 浓度）和土地利用变化如何影响全球范围内的土壤侵蚀。本研究还对这 13 个 SWEM 的应用进行了批判性评估。通过比较模型结构、特征、预测精度和侵蚀过程，我们根据对 13 个 SWEM 的评估，为全球不同地区（亚洲、欧洲、非洲和美洲）推荐了最合适的 SWEM。未来的土壤侵蚀可以使用 RUSLE、LISEM、WEPP v2010.1、SWAT、EPIC、KINEROS 和 AGNPS 模型在亚洲进行模拟；在欧洲使用 RUSLE、WEPP v2010.1、SWAT、EPIC、WATEM-SEDEM、MEFIDIS、AGNPS 和 AnnAGNPS 模型；在非洲使用 RUSLE、LISEM、SWAT 和 AGNPS 模型；在美洲使用 WEPP v2010.1、SWAT、EPIC、KINEROS、AGNPS 和 AnnAGNPS 模型。最后，突出了 13 个 SWEM 的局限性和挑战。
