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An integrated economic, environmental and social approach to agricultural land-use planning

Citation

Shahpari, S and Allison, J and Harrison, MT and Stanley, R, An integrated economic, environmental and social approach to agricultural land-use planning, Land, 10, (4) Article 364. ISSN 2073-445X (2021) [Refereed Article]


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Copyright Statement

Copyright: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/).

DOI: doi:10.3390/land10040364

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.

Item Details

Item Type:Refereed Article
Keywords:land use changes, spatial agent-based modelling, stakeholder insights, irrigation expansion
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Agriculture, land and farm management
Research Field:Agricultural land planning
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Evaluation, allocation, and impacts of land use
UTAS Author:Shahpari, S (Mrs Sahar Shahpari)
UTAS Author:Allison, J (Professor Janelle Allison)
UTAS Author:Harrison, MT (Associate Professor Matthew Harrison)
UTAS Author:Stanley, R (Professor Roger Stanley)
ID Code:143791
Year Published:2021
Deposited By:TIA - Research Institute
Deposited On:2021-04-02
Last Modified:2021-09-23
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