Process-Based Crop Models in Soil Research: A Bibliometric Analysis

Abstract

Different types of soil data are used in process-based crop models as input data. Crop models have a diverse range of applications, and soil research is one of them. This bibliographic analysis was conducted to assess the current literature on soil-related applications of crop models using two widely used crop models: Agricultural Production Systems Simulator (APSIM) and Decision Support System for Agrotechnology Transfer (DSSAT). The publications available in the Scopus database during the 2000–2021 period were assessed. Using 523 publications, a database on the application of process-based crop models in soil research was developed and published in an online repository, which is helpful in determining the specific application in different geographic locations. Soil-related applications on APSIM and DSSAT models were found in 41 and 43 countries, respectively. It was reported that selected crop models were used in soil water, physical properties, greenhouse gas emissions, N leaching, nutrient dynamics, and other physical and chemical properties related to applications. It can be concluded that a crop model is a promising tool for assessing a diverse range of soil-related processes in different geographic regions.

Climate Change and Soil Dynamics: A Crop Modelling Approach

“…Five locations with observed soil data were used in this study, as shown in Figure 1 (Puttalam, Katunayake, Galle, Hambantota, and Badulla). The observed soil data were obtained from the SRICANSOL project [28][29][30][31], which is the most up-to-date and comprehensive soil database in Sri Lanka. These locations were selected to cover all three climate zones of the country: WZ, DZ, and IZ.…”