Evaluating regional resiliency of coastal wetlands to sea level rise through hypsometry-based modeling

Cheryl L Doughty; Kyle C Cavanaugh; Richard F Ambrose; Eric D Stein

doi:10.1111/gcb.14429

Evaluating regional resiliency of coastal wetlands to sea level rise through hypsometry-based modeling

Glob Chang Biol. 2019 Jan;25(1):78-92. doi: 10.1111/gcb.14429. Epub 2018 Oct 30.

Authors

Cheryl L Doughty¹, Kyle C Cavanaugh¹, Richard F Ambrose², Eric D Stein³

Affiliations

¹ Department of Geography, University of California, Los Angeles, California.
² Department of Environmental Health Sciences, Institute of the Environment and Sustainability, University of California, Los Angeles, California.
³ Biology Department, Southern California Coastal Water Research Project, Costa Mesa, California.

PMID: 30378214
DOI: 10.1111/gcb.14429

Abstract

Sea level rise (SLR) threatens coastal wetlands worldwide, yet the fate of individual wetlands will vary based on local topography, wetland morphology, sediment dynamics, hydrologic processes, and plant-mediated feedbacks. Local variability in these factors makes it difficult to predict SLR effects across wetlands or to develop a holistic regional perspective on SLR response for a diversity of wetland types. To improve regional predictions of SLR impacts to coastal wetlands, we developed a model that addresses the scale-dependent factors controlling SLR response and accommodates different levels of data availability. The model quantifies SLR-driven habitat conversion within wetlands across a region by predicting changes in individual wetland hypsometry. This standardized approach can be applied to all wetlands in a region regardless of data availability, making it ideal for modeling SLR response across a range of scales. Our model was applied to 105 wetlands in southern California that spanned a broad range of typology and data availability. Our findings suggest that if wetlands are confined to their current extents, the region will lose 12% of marsh habitats (vegetated marsh and unvegetated flats) with 0.6 m of SLR (projected for 2050) and 48% with 1.7 m of SLR (projected for 2100). Habitat conversion was more drastic in wetlands with larger proportions of marsh habitats relative to subtidal habitats and occurred more rapidly in small lagoons relative to larger sites. Our assessment can inform management of coastal wetland vulnerability, improve understanding of the SLR drivers relevant to individual wetlands, and highlight significant data gaps that impede SLR response modeling across spatial scales. This approach augments regional SLR assessments by considering spatial variability in SLR response drivers, addressing data gaps, and accommodating wetland diversity, which will provide greater insights into regional SLR response that are relevant to coastal management and restoration efforts.

Keywords: archetypes; climate change; coastal management; coastal wetlands; habitat change; hypsometry; vulnerability.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

California
Climate Change
Conservation of Natural Resources
Ecosystem
Environmental Monitoring / methods*
Environmental Monitoring / standards
Forecasting
Geological Phenomena*
Hydrology
Models, Theoretical*
Wetlands*