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An Integrated Economic, Environmental and Social Approach to Agricultural Land-Use Planning

Author

Listed:
  • Sahar Shahpari

    (Institute for Regional Development, University of Tasmania, Tasmania 7320, Australia)

  • Janelle Allison

    (University College, Cradle Coast Campus, University of Tasmania, Tasmania 7320, Australia)

  • Matthew Tom Harrison

    (Tasmanian Institute of Agriculture, University of Tasmania, Tasmania 7320, Australia)

  • Roger Stanley

    (Tasmanian Institute of Agriculture, University of Tasmania, Tasmania 7320, Australia)

Abstract

Agricultural land-use change is a dynamic process that varies as a function of social, economic and environmental factors spanning from the local to the global scale. The cumulative regional impacts of these factors on land use adoption decisions by farmers are neither well accounted for nor reflected in agricultural land use planning. We present an innovative spatially explicit agent-based modelling approach (Crop GIS-ABM) that accounts for factors involved in farmer decision making on new irrigation adoption to enable land-use predictions and exploration. The model was designed using a participatory approach, capturing stakeholder insights in a conceptual model of farmer decisions. We demonstrate a case study of the factors influencing the uptake of new irrigation infrastructure and land use in Tasmania, Australia. The model demonstrates how irrigated land-use expansion promotes the diffusion of alternative crops in the region, as well as how coupled social, biophysical and environmental conditions play an important role in crop selection. Our study shows that agricultural land use reflected the evolution of multiple simultaneous interacting biophysical and socio-economic drivers, including soil and climate type, crop and commodity prices, and the accumulated effects of interactive decisions of farmers.

Suggested Citation

  • Sahar Shahpari & Janelle Allison & Matthew Tom Harrison & Roger Stanley, 2021. "An Integrated Economic, Environmental and Social Approach to Agricultural Land-Use Planning," Land, MDPI, vol. 10(4), pages 1-18, April.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:4:p:364-:d:528506
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    References listed on IDEAS

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    Cited by:

    1. Tianran Ding & Bernhard Steubing & Wouter Achten, 2022. "Coupling optimization with territorial LCA to support agricultural land-use planning," ULB Institutional Repository 2013/359529, ULB -- Universite Libre de Bruxelles.
    2. Okura, Fumi & Budiasa, I Wayan & Kato, Tasuku, 2022. "Exploring a Balinese irrigation water management system using agent-based modeling and game theory," Agricultural Water Management, Elsevier, vol. 274(C).
    3. Kotchakarn Nantasaksiri & Patcharawat Charoen-amornkitt & Takashi Machimura & Kiichiro Hayashi, 2021. "Multi-Disciplinary Assessment of Napier Grass Plantation on Local Energetic, Environmental and Socioeconomic Industries: A Watershed-Scale Study in Southern Thailand," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    4. Bushra Ahmed Alhammad & Mahmoud F. Seleiman & Matthew Tom Harrison, 2023. "Hydrogen Peroxide Mitigates Cu Stress in Wheat," Agriculture, MDPI, vol. 13(4), pages 1-15, April.
    5. Tianran Ding & Bernhard Steubing & Wouter Achten, 2022. "Coupling optimization with territorial LCA to support agricultural land-use planning," ULB Institutional Repository 2013/352783, ULB -- Universite Libre de Bruxelles.

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