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Environmental changes caused by climate change in Alaska pose a serious threat to the food, energy and water systems that support the culturally diverse communities statewide. The fishing industry, watershed managers and other stakeholders struggle with understanding and predicting the rates, magnitude and location of changes occurring in their regions primarily because of the significant range of uncertainty inherent in these changes. With the guidance of stakeholders, we demonstrate a scenario analysis methodology to elucidate the interactions among various components and uncertainties within the food, energy and water systems of the Kenai River Watershed. Alternative scenario analysis provided stakeholders with a venue and process to consider plausible futures in which rates of change in critical uncertainties were modeled to elucidate potential responses. Critical uncertainties ranged from climatic impacts on freshwater systems, to new energy development proposals, to changes in sport and personal use fisheries. Working together, stakeholders developed narratives that reflected different combinations of future uncertainty to guide potential management actions now and in the future. Five scenarios were developed by stakeholders that capture the complex interactions in the Kenai River Watershed as a social–ecological system. This process provides a way for managers and stakeholders to plan for the future in a richer way than extrapolating trends for obvious drivers of change. We present this framework as a platform for integrating climate, landscape and cultural change data into actionable decisions, crafted by stakeholders, to improve future food, energy and water resource management at the watershed scale.

Community and stakeholder engagement is increasingly recognized as essential to science at the nexus of food, energy, and water systems (FEWS) to address complex issues surrounding food and energy production and water provision for society. Yet no comprehensive framework exists for supporting best practices in community and stakeholder engagement for FEWS. A review and meta-synthesis were undertaken of a broad range of existing models, frameworks, and toolkits for community and stakeholder engagement. A framework is proposed that comprises situational awareness of the FEWS place or problem, creation of a suitable culture for engagement, focus on power-sharing in the engagement process, co-ownership, co-generation of knowledge and outcomes, the technical process of integration, the monitoring processes of reflective and reflexive experiences, and formative evaluation. The framework is discussed as a scaffolding for supporting the development and application of best practices in community and stakeholder engagement in ways that are arguably essential for sound FEWS science and sustainable management.

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. In this study, we present a resilience framework for food–energy–water systems and demonstrate it with a case study in Magic Valley, Idaho. 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. The stakeholder engagement process identified key issues, critical uncertainties, and plausible and viable solutions to future challenges. 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 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. 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.