From Uncertainties to Solutions: A Scenario-Based Framework for an Agriculture Protection Zone in Magic Valley Idaho
Daniel Cronan (),
E. Jamie Trammell and
Andrew Kliskey
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Daniel Cronan: Department of Landscape Architecture, College of Environmental Science and Forestry (ESF), State University of New York, Syracuse, NY 13210, USA
E. Jamie Trammell: Center for Resilient Communities, Moscow, ID 83844, USA
Andrew Kliskey: Center for Resilient Communities, Moscow, ID 83844, USA
Land, 2023, vol. 12, issue 4, 1-13
Abstract:
As growth in the western U.S. continues to lead to the development of land, pressure is being exerted on agricultural production, and could lead to the loss of prime agricultural land. A wide array of perspectives concerning agricultural protection requires a variety of possible solutions. Diverse and plausible scenarios, driven by stakeholders, can be modeled by researchers to guide potential solutions to address key challenges within a region. This paper addresses one stakeholder-defined social-ecological system (SES) solution in the context of southern Idaho, one of the fastest-growing states in the U.S.: agricultural protection zoning. This project demonstrates a method for incorporating an Agriculture Protection Zone (APZ) within a suite of scenarios showing land protection opportunities across a range of future conditions and challenges. The results, by way of a Geodesign framework, entail suitability analyses through a series of weighted raster overlays to analyze scenario-based solutions. The suite of scenario solutions was compared to demonstrate effective proportions of the APZ. The analysis of the results, as a solution gradient, aim to inform policy makers, planners, and developers about the efficiencies of various APZ delineations as well as a methodology to demonstrate the impact of solutions based on assumptions of stakeholder-informed future scenarios.
Keywords: agroecology; scenarios; alternative futures; agriculture protection zoning; landscape planning (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:4:p:862-:d:1120650
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