Using ABM to Study the Potential of Land Use Change for Mitigation of Food Deserts
Sustainability
; 14(15):9715, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1994199
ABSTRACT
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.
Environmental Studies; agent-based model; geospatial computational modeling; land use transition; food security; Climate variability; Supermarkets; Soil temperature; Crops; Food production; Land use; Human influences; Food prices; Vegetables; COVID-19; Land management; Environmental changes; Remote sensing; Low income groups; Decision making; Population growth; Fruits; Households; Food supply; Agricultural production; Rainfall; Chronic illnesses; Constraint modelling; Land cover; Food quality; Food deserts; Policies; Stock exchanges; Vegetation; Mitigation; Soil quality; Securities markets; Supply chains; Markov analysis; United States--US; Qatar
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Sustainability
Year:
2022
Document Type:
Article
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