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Title: Using ABM to Study the Potential of Land Use Change for Mitigation of Food Deserts
Land-use transition is one of the most profound human-induced alterations of the Earth’s system. It can support better land management and decision-making for increasing the yield of food production to fulfill the food needs in a specific area. However, modeling land-use change involves the complexity of human drivers and natural or environmental constraints. This study develops an agent-based model (ABM) for land use transitions using critical indicators that contribute to food deserts. The model’s performance was evaluated using Guilford County, North Carolina, as a case study. The modeling inputs include land covers, climate variability (rainfall and temperature), soil quality, land-use-related policies, and population growth. Studying the interrelationships between these factors can improve the development of effective land-use policies and help responsible agencies and policymakers plan accordingly to improve food security. The agent-based model illustrates how and when individuals or communities could make specific land-cover transitions to fulfill the community’s food needs. The results indicate that the agent-based model could effectively monitor land use and environmental changes to visualize potential risks over time and help the affected communities plan accordingly.  more » « less
Award ID(s):
1824949
PAR ID:
10347667
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Sustainability
Volume:
14
Issue:
9715
ISSN:
2071-1050
Page Range / eLocation ID:
1-23
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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