Evaluation of emission reduction and other societal and environmental outcomes: Structured decision making for the Louisiana climate action plan.

Climate action planning continues to accelerate rapidly across the globe as communities seek to prepare to thrive in an uncertain future. Climate action planning is a particularly contentious and complex topic in the southern United States, however, because of significant economic reliance on industries that contribute substantially to greenhouse gas emissions, and due to a complicated relationship between industry and persistent racial and economic inequities that contribute to distrust between communities, businesses, and state governments. Within the last decade, research efforts have begun to evaluate approaches used to develop city, state, and national-level climate action plans, finding that planning efforts are often as diverse as the localities they represent. Climate action planning processes that evaluate the potential implications of climate action on greenhouse gas emissions and societal values are often driven by either qualitative stakeholder engagement or by the results of numerical models. While both approaches are valuable, they also have limitations that can result in climate action plans that are unrealistic or unimplementable. Limited research is available that assesses planning efforts that integrate multiple evaluation methodologies. In this study, we evaluate the strengths and limitations of integrating qualitative and quantitative climate action evaluation methodologies in a planning process grounded in structured decision making using Louisiana as a case study. This mixed method planning approach applied both quantitative numerical models and qualitative expert elicitation to evaluate potential implications of climate action for Louisiana. We found that integration of approaches through a transparent, structured, and objectives-orientated process allowed for robust analysis of potential climate actions while engendering process buy-in across diverse stakeholder interests. This process ultimately resulted in the unanimous adoption of Louisiana's climate action plan, characterized by a wholistic and implementable set of climate actions balanced against the values of Louisianians. The process outlined in this study represents a replicable approach for other climate action planning efforts.

Supporting habitat restoration in the northern Gulf of Mexico through synthesis of data on multiple and interacting benefits and stressors.

Outcomes of landscape scale restoration and conservation can be maximized when planning is based upon quantitative and decision-relevant information. Existing tools to support data-driven planning are hindered by regionally inconsistent information and a need for advanced methods to analyze data of varying spatial resolution and coverage. We present a synthesis methodology for region-wide derived metrics to characterize natural resource value, ecosystem stress, and social vulnerability to inform implementation of conservation and restoration projects. Our three-part methodology was developed and tested for the Gulf of Mexico in support of the Southeast Conservation Blueprint that was created to advance the Southeast Conservation and Adaptation Strategy. The first step included integration of prioritized natural resource metrics alongside socio-ecological metrics to create a data layer of synthesized natural resource priority across the northern Gulf of Mexico. The second component was calculation of ecosystem stress indices based on ecologically relevant thresholds and a cumulative ecosystem stress layer, in addition to analyzing correlations between individual stressors and their relative importance. The final component was development of a social vulnerability (SoVI) index. Analysis of these metrics illustrate their ability to effectively capture variability at multiple scales in the Gulf of Mexico, including expected spatial correlation of stressors such as road density and non-point source pollution in populated areas and the dominance of sea-level rise as a future stressor along the coast. Significant composite components of social vulnerability for the northern Gulf of Mexico region were identified and include economic status, professional workforce, elderly population, population stability, migrant workforce, and rural population. To demonstrate the utility of the data synthesis approach, we used the developed data layers to evaluate proposed marsh creation projects in southern Louisiana. The synthesized data layers were capable of distinguishing differences at the scale of individual habitat restoration projects, and high-value projects could be aligned with the goals of key funding streams. This pilot application illustrates how restoration programs could use the methodology developed here to maximize benefits from conservation and restoration actions along the northern Gulf of Mexico or other regions globally.

Social Justice and Mobility in Coastal Louisiana, USA.

Louisiana faces extensive coastal land loss which threatens the livelihoods of marginalized populations. These groups have endured extreme disruptive events in the past and have survived in the region by relying on several resilient practices, including mobility. Facing environmental changes that will be wrought by deliberate coastal restoration programs, elderly residents are resisting migration while younger residents continue a decades-long inland migration. Interviews and historical records illustrate a complex intersection of resilient practices and environmental migration. The process underway conflicts to some extent with prevailing concepts in environmental migration most notably deviating from established migration patterns. In terms of social justice, selective out-migration of younger adults leaves a more vulnerable population behind, but also provides a supplementary source of income and social links to inland locales. Organized resistance to restoration projects represents a social justice response to programs that threaten the resource-based livelihoods of coastal residents while offering protection to safer inland urban residents.