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Modeling Land-Use Land-Cover Change Complexity: A System Dynamics Approach

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  • Isdore Paterson Guma

    (Gulu University, Uganda)

  • Agnes Semwanga Rwashana

    (Makerere University, Uganda)

  • Benedict Oyo

    (Gulu University, Uganda)

  • Daniel Waiswa

    (Makerere University, Uganda)

Abstract

Qualitative models help policymakers understand land-use changes by examining the processes involved and predicting future patterns. This study aims to use dynamic synthesis methodology to establish cause-and-effect relationships. The study, conducted in the Mt. Elgon region encompassing Mbale, Manafwa, Bududa, and Namisindwa districts, utilized questionnaires and interviews to gather data. Findings suggest that short-term solutions to reduce wood fuel consumption include raising awareness, promoting mindset change, and providing subsidies for alternative energy sources. Long-term strategies involve advocating for tree planting, strengthening land use policies, and ensuring strict implementation. While stakeholder engagement does not automatically guarantee high-quality decision analysis, it is crucial for promoting natural resource protection and fostering a sense of ownership over the issue.

Suggested Citation

  • Isdore Paterson Guma & Agnes Semwanga Rwashana & Benedict Oyo & Daniel Waiswa, 2024. "Modeling Land-Use Land-Cover Change Complexity: A System Dynamics Approach," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 12(1), pages 1-22, January.
  • Handle: RePEc:igg:jsda00:v:12:y:2024:i:1:p:1-22
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