Browsing by Author "Guma, Isdore Paterson"

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    Household Food Security Policy Analysis: A System Dynamics Perspective
    (International Journal of Scientific & Technology Research, 2016) Guma, Isdore Paterson; Semwanga Rwashana, Agnes; Oyo, Benedict
    Household food security (FS) is complex and requires multiple stakeholder intervention. Systemic approach aids st akeholders to understand the mechanisms and feedback between complexities in food security providing effective decision making as global resource cons umption continues to grow. The study investigated food security challenges and a system dynamics model was developed for evaluating policies and intervention strategies for better livelihood at household level. Dynamic synthesis methodology, questionnaires and interview guide were used to unea rth food security challenges faced by households. A causal loop diag ram was drawn. The model demonstrates a balance between food stock, seeds preserved, seeds for sale and consumption from crop harvest throughout the food cycles. This research makes contribution to the literature by evaluating dynamic synthesis methodology and FS policy discussions from a feedback point of view.
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    A System Dynamics Model of Land-use Change for Climate Change Adaptation: The Case of Uganda
    (Scitepress science and technology publications, 2021) Guma, Isdore Paterson; Semwanga Rwashana, Agnes; Oyo, Benedict
    System dynamics models in land use change are useful tools for understanding the cause and effect of land use changes, assessing the impacts of land use systems on the environment, and supports land use planning and policy dimensions. Several studies have used different methods to examine the drivers of land-use change in understanding the interactions of land-use change as a result of human activities. However, much less work has been undertaken to model the future of a suite of ecosystem services in a holistic way. These studies have been conducted with minimum emphasis on the systemic structures or feedback processes of land-use decisions. A system dynamics model will be used to model ecosystem services to understand complex interactions using dynamic synthesis methodology. Questionnaires and interviews will be used for data collection. The study will explore viable policies for optimal land use to mitigate the degree of future climate change and risks. Projections of future resource requirements and environmental stress are alarming as a result of poorly planned economic development. Unless significant measures are taken to incorporate environmental concerns, the situation is likely to worsen in the future. Modeling complex natural-human systems remains an important research area.