Global Applications of Soil Erosion Modelling Tracker (GASEMT)
49 relevant attributes into the database for 10 groups of information:
Bibliography, Modelling exercise, Study area, Climate, Land use/cover, Fieldwork activities, Soil info, Topography, Modelling outcomes, Bibliographic Review
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. In the second study, we performed a bibiometric analysis to investigate collaboration networks and citation patterns.
This GASEMT database provides comprehensive insights into the state-of-the-art of soil- erosionmodels 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.
GASEMT in numbers:
- Period covered: 1994-2017
- Database source: Elsevier Scopus
- Potentially relevant: 8471 articles
- 1697 appropriate articles have been reviewed, systematically evaluated and transferred in the database
- 3030 individual modelling records from 126 countries, encompassing all continents
- Collective knowledge of 67 soil-erosion scientists from 25 countries
- 49 fields extracted.