Planning to ‘Hear the Farmer’s Voice’: an Agent-Based Modelling Approach to Agricultural Land Use Planning

• Published in: Applied spatial analysis and policy Vol. 17; no. 1; pp. 115 - 138
• Main Authors: Shahpari, Sahar, Eversole, Robyn
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.03.2024; Springer Nature B.V
• Subjects: Agricultural land; Agriculture; Changes; Decision making; Farmers; Farms; Human factors; Human Geography; Knowledge; Land use planning; Landscape/Regional and Urban Planning; Local knowledge; Markets; Regional/Spatial Science; Regions; Scientific knowledge; Social Sciences; Geodesign; Knowledge partnering; Land-use planning; Agent-based model
• ISSN: 1874-463X; 1874-4621
• DOI: 10.1007/s12061-023-09538-7

Agricultural land use is influenced not only by multiple aspects of biophysical and socio-economic processes, but also the cumulative impacts of individual farmer decisions. Farmers’ activities and decisions at farm scale shape land use and water utilisation at regional scale, yet land use planning processes do not take into account farmers’ knowledge and decision-making processes as they respond to, and in turn shape, change. Farmers’ voices are missing in the planning system. In this paper, we address the complexity of agricultural land use planning and examine the possibility of agricultural land use planning from the bottom-up via simulation to integrate environmental, economic and human factors that influence land use change. We present an innovative approach to model the interactions between government policy, market signals, and farmers’ land use decisions, and how the accumulated effects of these individual decisions change agricultural land use patterns at regional scale, using spatial and temporal agent-based modeling. A multi-stage mixed method spatial agent-based modeling (ABM) approach, aligned with the Geodesign framework, can incorporate local knowledge and decision-making into models of regional land use change. To illustrate the new approach, we examine the impact of milk market price on changes in land use in Tasmania, Australia. This approach brings together local knowledge with scientific, planning, and policy knowledge to generate dynamic scenarios for informed agricultural land-use planning decisions. Highlights • Agricultural land-use planning is complex and needs to account for the impact of farm-scale decision making on regional-scale land-use. • A multi-stage mixed method spatial ABM approach aligned with the Geodesign framework enables the incorporation of bottom-up farmer knowledge and decision-making into models of regional land use change. • Modeling regional land-use change using spatial ABM brings local knowledge at micro-scale into dialogue with scientific, planning, and policy knowledge at macro scale to generate dynamic scenarios to inform agricultural land-use planning decisions .