To improve future stakeholder-driven geodesign projects and gaps in the research literature, this project provides a ranking of graphic strategies based on the stakeholder survey. Researchers surveyed stakeholders through a case study in Idaho’s Magic Valley to gauge the effectiveness of each representational approach. We have developed and applied a metric for a ranked set of compelling scenario representations using stakeholder input from an active research project. The current literature lacks a metric for gauging effectiveness and a framework for optimal evaluation for future scenario representations. Alternative future scenario representations aim to generate conversations through discourse, evoke scenario-based stakeholder input, and ensure stakeholder-based revisions to research models. To impactfully integrate these disparate components, stakeholder-driven research must include clear lines of communication, share data transparently, and slowly develop trust. The process intends to provide policy-makers, researchers, and scenario facilitators with a strategic framework to activate solutions temporally with a stakeholder-defined suite of scenarios.Ĭontemporary landscape planning challenges require an increasingly diverse ensemble of voices, including regional stakeholders, physical scientists, social scientists, and technical experts, to provide insight into a landscape’s past trends, current uses, and desired future. The process activates stakeholder and research-based models to create geospatial alternative futures and their associated timesteps, with embedded solutions, which broadens and improves conventional scenario-based research. Specifically, we analyzed cross-scenario futures and their solutions to address water quality issues in the face of climate change, land-use change conflicts, and population shifts in the region. The stakeholder engagement process identified key issues, critical uncertainties, and plausible and viable solutions to future challenges. We formulated scenarios of change based on stakeholder input (qualitative data), researcher-developed models (quantitative data), and validation of plausibility through impact and indicator evaluation. In this study, we present a resilience framework for food–energy–water systems and demonstrate it with a case study in Magic Valley, Idaho. Continued abuse of our services will cause your IP address to be blocked indefinitely.Scenarios of landscape change have the capacity to address spatial and temporal issues, current and future trends, and solutions that increase capacity and/or resilience in social-ecological systems and their networks. Please fill out the CAPTCHA below and then click the button to indicate that you agree to these terms. If you wish to be unblocked, you must agree that you will take immediate steps to rectify this issue. If you do not understand what is causing this behavior, please contact us here. If you promise to stop (by clicking the Agree button below), we'll unblock your connection for now, but we will immediately re-block it if we detect additional bad behavior.
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