From Model to Action: Identifying the Gaps in Coastal Marsh Models for Decision Making

Coastal salt marsh modeling projects are designed to answer questions about where salt marshes may migrate, how they can migrate, and how they will be impacted by changing water levels. While this information is vital for climate-resilient marsh conservation, translating these findings into actionable results remains a challenge. The authors examined the actionability of marsh modeling efforts in the United States by analyzing data collected from semi-structured interviews of marsh model users (n = 24) across two ongoing projects along the U.S. East Coast and the Gulf of America (Gulf of Mexico). By qualitatively analyzing the interview data, the authors found that the tasks of practitioners who use coastal marsh model outputs fall into three major themes: (1) marsh restoration, (2) planning with uncertainty, and (3) conserving habitat for marsh-reliant species. For each of these themes, the authors identify unmet needs, including high spatial resolution information for local planning, accessible descriptions of uncertainty to increase user confidence, and the incorporation of human dimensions data (e.g., human alterations to the landscape such as impoundments and culverts) for a comprehensive understanding of the coastal salt marsh. Marsh modeling projects should strategize how to fulfil these unmet user needs so that marsh modeling outputs can better support decisions related to marsh conservation and restoration.

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Publication Details

Journal
Wetlands
Published
2026-04-01
DOI
https://doi.org/10.1007/s13157-026-02058-3
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

From Model to Action: Identifying the Gaps in Coastal Marsh Models for Decision Making

Davina L. Passeri, Renee C. Collini, Dawn M. Kotowicz, Amanda D. Stoltz et al.
Wetlands
Coastal wetland ecosystem dynamics
article

From Model to Action: Identifying the Gaps in Coastal Marsh Models for Decision Making

Davina L. Passeri, Renee C. Collini, Dawn M. Kotowicz, Amanda D. Stoltz, Nina Woodard, S. García Martín, Christine Addison Buckel
article en

Abstract

Coastal salt marsh modeling projects are designed to answer questions about where salt marshes may migrate, how they can migrate, and how they will be impacted by changing water levels. While this information is vital for climate-resilient marsh conservation, translating these findings into actionable results remains a challenge. The authors examined the actionability of marsh modeling efforts in the United States by analyzing data collected from semi-structured interviews of marsh model users (n = 24) across two ongoing projects along the U.S. East Coast and the Gulf of America (Gulf of Mexico). By qualitatively analyzing the interview data, the authors found that the tasks of practitioners who use coastal marsh model outputs fall into three major themes: (1) marsh restoration, (2) planning with uncertainty, and (3) conserving habitat for marsh-reliant species. For each of these themes, the authors identify unmet needs, including high spatial resolution information for local planning, accessible descriptions of uncertainty to increase user confidence, and the incorporation of human dimensions data (e.g., human alterations to the landscape such as impoundments and culverts) for a comprehensive understanding of the coastal salt marsh. Marsh modeling projects should strategize how to fulfil these unmet user needs so that marsh modeling outputs can better support decisions related to marsh conservation and restoration.

WetlandsVol. 46(4)
United States Geological Survey (US), National Oceanic and Atmospheric Administration (US), Universidade de Santiago de Compostela (ES), Mississippi Department of Marine Resources (US), NOAA Oceanic and Atmospheric Research (US), Water Research Institute (SK), NOAA National Centers for Coastal Ocean Science (US), Mississippi Alabama Sea Grant Consortium (US), St. Petersburg Coastal and Marine Science Center, University of Delaware (US), Mississippi State University (US)
National Oceanic and Atmospheric Administration
Openalex Percentile: Top 15%
Coastal wetland ecosystem dynamics
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