Advancing consistent socio-economic monitoring of coastal ecosystem restoration through collaborative metric development

The paper addresses the gap between socio-economic goals of restoration programs and the limited monitoring of socio-economic outcomes compared to ecological outcomes. While global policy and practice increasingly integrate environmental and human well-being goals (e.g., SDGs, ecological restoration standards, public health perspectives), restoration design and monitoring still focus largely on ecological metrics. In the Gulf of Mexico, the RESTORE Act program seeks ecological and socio-economic goals, but initial monitoring emphasized ecological effects and a narrow set of socio-economic indicators (e.g., engagement counts, jobs). The research questions are: (1) What socio-economic outcomes are commonly produced by coastal restoration approaches used in the Gulf of Mexico? and (2) Which feasible, useful metrics can consistently monitor these outcomes? The study aims to develop core socio-economic metrics through ecosystem service logic models (ESLMs) and stakeholder engagement to improve evaluation, comparison, and adaptive management across restoration projects.

The study builds on existing frameworks linking ecological change to human outcomes (e.g., ecosystem service cascades, results chains, EBM-DPSER) and on standards that call for socio-economic integration in restoration. The team reviewed peer-reviewed literature and white papers to refine ESLMs and verify metrics (especially during the oyster restoration pilot). For water quality improvement approaches, a literature review was used to draft ESLMs and candidate metrics prior to expert workshops. Literature also informed feasibility, data availability, and causal attribution methods (e.g., hedonic valuation, social cost of carbon, recreational survey methods).

The team conducted the Gulf of Mexico Ecosystem Service Logic Models & Socio-Economic Indicators Project (GEMS) using a collaborative, iterative process. Engagement included seven in-person workshops (at least one per Gulf Coast state), four virtual workshops, and one-on-one calls/focus groups with over 80 scientists and practitioners from 62 organizations. Phase 1 piloted methods on six oyster reef restoration types (simple subtidal harvested; complex subtidal harvested; complex subtidal not intensively harvested; complex intertidal not intensively harvested; protection/enhancement of existing reef; aquaculture). Draft ESLMs connecting restoration actions to socio-economic outcomes were created from literature and expert input, refined in local estuary workshops, and verified via literature review and a regional workshop where metrics were screened using SMART criteria (specific, measurable, achievable, realistic, time-bound) with emphasis on feasibility, relevance, data availability, and scale (project vs regional). Phase 2 expanded to other common restoration types: habitat restoration (salt marsh, seagrass, mangrove, living shorelines, beaches/dunes, hydrologic connectivity) and recreational enhancement (boat ramps, fishing piers, trails/boardwalks), leveraging overlap in ecological and socio-economic pathways identified in the pilot; ESLMs and metrics were refined via iterative small-group expert consultations (≥2 experts per ESLM and per new metric). Water quality improvement approaches (sewage improvements, wastewater treatment upgrades, treatment wetlands, and stormwater management using gray/green infrastructure and outflow treatment) followed a literature-informed draft plus regional and topic-focused virtual workshops (health; economic/cost outcomes) to test feasibility using SMART criteria, followed by further literature review and expert calls. Metrics were synthesized and categorized by: relevance across project types (core if relevant to ≥ half of project types in a category), scale (project vs regional), and feasibility tiers (Tier 1 low effort/expertise; Tier 2 higher expertise/resources; R&D requires methods development). Measurement protocols were developed for core metrics, including guidance on quantification over time (how much) and equity assessment (who) to evaluate distributional effects.

• 23 ecosystem service logic models (ESLMs) were developed, one per restoration project type. Two outcomes were common across all restoration types: economic activity associated with project implementation and knowledge outcomes (when education programming is included). Many approaches also influence recreational fishing opportunities, recreation-related economic activity, subsistence harvest, carbon sequestration, and property protection from erosion.
• Differences among project types (e.g., oyster cultch plant vs. intertidal living shoreline) shape socio-economic outcomes and relevant metrics (e.g., commercial harvest vs. shoreline protection and wildlife habitat).
• 44 metrics were identified overall: 8 Tier 1 (feasible for non-expert teams), 24 Tier 2 (require additional expertise/resources), and 12 R&D (methods development needed). 35 metrics are project-scale; some (e.g., economic activity) can also be assessed regionally. 38 of 44 are not currently required in Gulf restoration programs (e.g., RESTORE ODP guidelines, NRDA MAM Manual), so they complement existing reporting.
• 18 core metrics (13 project-scale, 5 regional-scale) are measurable with current data/methods (i.e., not R&D), relevant across multiple project types. Two project-scale core metrics are Tier 1: number of restoration jobs supported by the project and restoration expenditures by the project.
• Five project-scale core metrics are relevant to all categories: number of restoration jobs supported by project; restoration expenditures by project; change in recreational activity expenditures associated with project site visitation; change in cognitive function; change in subjective well-being.
• Additional project-scale core metrics commonly relevant to habitat/oyster/recreation (but generally not water quality infrastructure) include: education-related knowledge; awareness; project-identified cultural value; recreational fishing jobs and expenditures; food security among harvesters; property protection (reduced erosion) and change in property value.
• Regional-scale core metrics include: change in economic activity from restoration spending (common to all categories) and, for specific categories, awareness at broader scale; program-identified cultural value; change in economic activity from recreational fishing; and change in economic activity from project-associated commercial fish harvest (regional-only core metric, most relevant to habitat and oyster restoration).

The study demonstrates that restoration investments in the Gulf of Mexico likely generate measurable socio-economic effects and that a consistent set of metrics can monitor these effects across diverse project types. Adoption of shared metrics can improve comparability of project effectiveness, enable aggregation to regional assessments, and support adaptive management and program evaluation (e.g., for RESTORE and broader recovery from shocks like oil spills and hurricanes). Measurement protocols drawing on established methods (e.g., intercept surveys, erosion monitoring, property valuation, mental health surveys, social cost of carbon) facilitate consistent, high-quality monitoring, including equity-focused distributional analyses. Key challenges include attributing changes to specific projects amid confounding factors (requiring causal designs such as control sites or hedonic regressions), limited public access to relevant datasets or coarse spatial aggregation, and the need for methods development for some outcomes (R&D metrics). Social science capacity and trusted community relationships are essential for many socio-economic metrics. Regional-scale assessment typically requires resources beyond individual project monitoring (e.g., multi-project primary data collection or modeling), underscoring the role of federal agencies, universities, and NGOs in program-scale evaluations.

This work provides the first large-scale, evidence-based, consensus-driven set of socio-economic metrics for coastal restoration monitoring in the Gulf of Mexico, along with replicable methods to identify and implement them. Core metrics and protocols offer a practical, vetted starting point to expand socio-economic monitoring and improve consistency and efficiency across programs. The authors recommend: (1) expanding project monitoring to include Tier 1 and, where feasible, Tier 2 metrics with equity-focused analyses; (2) testing and refining measurement and distribution protocols to clarify costs, timelines, and utility; (3) developing data and methods for R&D metrics through expanded data collection and analytical innovation at project and regional scales; and (4) investing in regional-scale monitoring and evaluation, recognizing that many teams lack capacity for such assessments. Broad adoption and replication can support emerging investments in ecosystem restoration, nature-based solutions, and natural capital accounting by documenting social and economic benefits alongside ecological outcomes.

• Attribution: Detecting project-attributable changes is challenging due to small effect sizes relative to broader drivers; causal designs (e.g., control sites, hedonic regressions) require added expertise/resources.
• Data availability and access: Relevant datasets may be aggregated at coarse geographies, incomplete, or not publicly accessible; water system cost data exist but have not been evaluated for restoration effects.
• Methods gaps: Several outcomes require further methodological development (R&D metrics), including scalable measurement of food security and regional health/cost impacts.
• Scale constraints: All Tier 1 metrics are project-scale; robust regional impact assessment generally requires additional investment (multi-project data collection, modeling, or extrapolation).
• Capacity and community engagement: Many metrics depend on social science methods and trusted community relationships, which may be limited among restoration teams.