Department of Earth and Environmental Sciences, University of Pavia, Via Ferrata, 1, 27100 Pavia, Italy; Department of Environmental Sciences, Environmental Geosciences, University of Basel, Basel CH-4056, Switzerland; Department of Biological Environment, Kangwon National University, Chuncheon 24341, Republic of Korea.
Department of Environmental Sciences, Environmental Geosciences, University of Basel, Basel CH-4056, Switzerland.
Sci Total Environ. 2021 Aug 1;780:146494. doi: 10.1016/j.scitotenv.2021.146494. Epub 2021 Mar 17.
To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions within which models are primarily applied, (iii) the regions which remain unaddressed and why, and (iv) how frequently studies are conducted to validate/evaluate model outcomes relative to measured data. To perform this task, we combined the collective knowledge of 67 soil-erosion scientists from 25 countries. The resulting database, named 'Global Applications of Soil Erosion Modelling Tracker (GASEMT)', includes 3030 individual modelling records from 126 countries, encompassing all continents (except Antarctica). Out of the 8471 articles identified as potentially relevant, we reviewed 1697 appropriate articles and systematically evaluated and transferred 42 relevant attributes into the database. This GASEMT database provides comprehensive insights into the state-of-the-art of soil- erosion models and model applications worldwide. This database intends to support the upcoming country-based United Nations global soil-erosion assessment in addition to helping to inform soil erosion research priorities by building a foundation for future targeted, in-depth analyses. GASEMT is an open-source database available to the entire user-community to develop research, rectify errors, and make future expansions.
为了更好地了解全球土壤侵蚀预测模型的应用情况，我们全面回顾了 1994 年至 2017 年间发表的关于土壤侵蚀建模的相关同行评议研究文献。我们旨在确定：(i)文献中最常涉及的过程和模型；(ii)模型主要应用的区域；(iii)哪些区域尚未涉及以及原因；以及 (iv)相对于实测数据，验证/评估模型结果的研究频率。为了完成这项任务，我们汇集了来自 25 个国家的 67 位土壤侵蚀科学家的集体知识。由此产生的数据库名为“全球土壤侵蚀建模应用追踪器（GASEMT）”，其中包含来自 126 个国家的 3030 个单独的建模记录，涵盖了所有大陆（南极洲除外）。在确定的 8471 篇可能相关的文章中，我们回顾了 1697 篇合适的文章，并系统地评估并将 42 个相关属性转移到数据库中。该 GASEMT 数据库全面了解了全球土壤侵蚀模型和模型应用的最新情况。该数据库旨在支持即将进行的基于国家的联合国全球土壤侵蚀评估，并通过为未来有针对性的深入分析奠定基础，帮助确定土壤侵蚀研究重点。GASEMT 是一个开源数据库，可供整个用户社区使用，以开展研究、纠正错误和进行未来扩展。
