Integrating the "Social" in Social Ecological System Decisions (2014 MILES)

Figure 1: Case study conceptual model.
Figure 2: Case study location- ecosystem services at the urban growth boundary.
Figure 1: Case study conceptual model.
Figure 2: Case study location- ecosystem services at the urban growth boundary.
Highlight Authors
Highlight and figures provided by Mark D. Solomon, University of Idaho (msolomon@uidaho.edu) for IIA-1301792.
Background/Explanation

Decision makers, whether individuals or delegated authorities, often operate in a data-poor environment that fails to provided the information needed to optimize opportunities. Accurate, replicable characterization of the complex web of individual and social behaviors is a necessary first step to manage changes in ecosystems services that humans rely on.

Impact/Benefits

Engaging stakeholders as research partners early on results in more effective decision making-tools. Using new computer expertise and social media, we can create interactive decision-making tools with real-life virtual worlds. We finally can close an open social-ecological feedback loop, providing informed iteration of future urban development and climate change scenarios to stakeholders and policy-makers.

Outcome

Idaho scientists are learning how citizens and decision-makers envision goods and services that their local environment provides. Through engagement with stakeholder groups, they are developing tools that use climate and watershed data to build virtual worlds in a game-like platform.