Land | |
An Approach for Simulating Soil Loss from an Agro-Ecosystem Using Multi-Agent Simulation: A Case Study for Semi-Arid Ghana | |
Biola K. Badmos4  Sampson K. Agodzo1  Grace B. Villamor2  Samuel N. Odai4  John Wainwright3  | |
[1]Agricultural Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana | |
[2] E-Mail: | |
[3]Center for Development Research, University of Bonn, 53113 Bonn, Germany | |
[4] E-Mail: | |
[5]Civil Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana | |
[6] E-Mail | |
[7]Civil Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana | |
[8] E-Mail: | |
关键词: agricultural land-use adaptation; farm credit; climate change; Vea-LUDAS model; | |
DOI : 10.3390/land4030607 | |
来源: mdpi | |
【 摘 要 】
Soil loss is not limited to change from forest or woodland to other land uses/covers. It may occur when there is agricultural land-use/cover modification or conversion. Soil loss may influence loss of carbon from the soil, hence implication on greenhouse gas emission. Changing land use could be considered actually or potentially successful in adapting to climate change, or may be considered maladaptation if it creates environmental degradation. In semi-arid northern Ghana, changing agricultural practices have been identified amongst other climate variability and climate change adaptation measures. Similarly, some of the policies aimed at improving farm household resilience toward climate change impact might necessitate land use change. The heterogeneity of farm household (agents) cannot be ignored when addressing land use/cover change issues, especially when livelihood is dependent on land. This paper therefore presents an approach for simulating soil loss from an agro-ecosystem using multi-agent simulation (MAS). We adapted a universal soil loss equation as a soil loss sub-model in the Vea-LUDAS model (a MAS model). Furthermore, for a 20-year simulation period, we presented the impact of agricultural land-use adaptation strategy (maize cultivation credit
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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RO202003190008759ZK.pdf | 3795KB | download |