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      Evaluating Tidal Marsh Sustainability in the Face of Sea-Level Rise: A Hybrid Modeling Approach Applied to San Francisco Bay

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          Abstract

          Background

          Tidal marshes will be threatened by increasing rates of sea-level rise (SLR) over the next century. Managers seek guidance on whether existing and restored marshes will be resilient under a range of potential future conditions, and on prioritizing marsh restoration and conservation activities.

          Methodology

          Building upon established models, we developed a hybrid approach that involves a mechanistic treatment of marsh accretion dynamics and incorporates spatial variation at a scale relevant for conservation and restoration decision-making. We applied this model to San Francisco Bay, using best-available elevation data and estimates of sediment supply and organic matter accumulation developed for 15 Bay subregions. Accretion models were run over 100 years for 70 combinations of starting elevation, mineral sediment, organic matter, and SLR assumptions. Results were applied spatially to evaluate eight Bay-wide climate change scenarios.

          Principal Findings

          Model results indicated that under a high rate of SLR (1.65 m/century), short-term restoration of diked subtidal baylands to mid marsh elevations (−0.2 m MHHW) could be achieved over the next century with sediment concentrations greater than 200 mg/L. However, suspended sediment concentrations greater than 300 mg/L would be required for 100-year mid marsh sustainability (i.e., no elevation loss). Organic matter accumulation had minimal impacts on this threshold. Bay-wide projections of marsh habitat area varied substantially, depending primarily on SLR and sediment assumptions. Across all scenarios, however, the model projected a shift in the mix of intertidal habitats, with a loss of high marsh and gains in low marsh and mudflats.

          Conclusions/Significance

          Results suggest a bleak prognosis for long-term natural tidal marsh sustainability under a high-SLR scenario. To minimize marsh loss, we recommend conserving adjacent uplands for marsh migration, redistributing dredged sediment to raise elevations, and concentrating restoration efforts in sediment-rich areas. To assist land managers, we developed a web-based decision support tool ( www.prbo.org/sfbayslr).

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          Most cited references121

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          Global sea level linked to global temperature.

          We propose a simple relationship linking global sea-level variations on time scales of decades to centuries to global mean temperature. This relationship is tested on synthetic data from a global climate model for the past millennium and the next century. When applied to observed data of sea level and temperature for 1880-2000, and taking into account known anthropogenic hydrologic contributions to sea level, the correlation is >0.99, explaining 98% of the variance. For future global temperature scenarios of the Intergovernmental Panel on Climate Change's Fourth Assessment Report, the relationship projects a sea-level rise ranging from 75 to 190 cm for the period 1990-2100.
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            Limits on the adaptability of coastal marshes to rising sea level

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              Drowning of the Mississippi Delta due to insufficient sediment supply and global sea-level rise

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                16 November 2011
                : 6
                : 11
                : e27388
                Affiliations
                [1 ]Climate Change and Informatics Group, PRBO Conservation Science, Petaluma, California, United States of America
                [2 ]Department of Biological Sciences, University of Alberta, Edmonton, Canada
                [3 ]Estuaries and Wetlands Team, ESA PWA, San Francisco, California, United States of America
                [4 ]Department of Environmental Science, University of San Francisco, San Francisco, California, United States of America
                [5 ]Department of Environmental Science, Policy and Management, University of California at Berkeley, Berkeley, California, United States of America
                [6 ]Department of Biology, San Francisco State University, San Francisco, California, United States of America
                University of Western Australia, Australia
                Author notes

                Wrote the paper: DS JCC MB JKW. Conceptualized and initiated the project: DS SC JCC MB. Helped design the analyses: VTP LMS MK JKW. Ran models and conducted spatial analyses: MB DS DJ LMS. Provided significant written contributions to the manuscript: MK LMS VTP SC DJ.

                Article
                PONE-D-11-10297
                10.1371/journal.pone.0027388
                3217990
                22110638
                7780cd38-58c1-49bf-b617-63717b5dff95
                Stralberg et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 7 June 2011
                : 15 October 2011
                Page count
                Pages: 18
                Categories
                Research Article
                Biology
                Computational Biology
                Ecosystem Modeling
                Ecology
                Ecological Environments
                Marine Environments
                Ecosystems
                Ecosystem Modeling
                Coastal Ecology
                Conservation Science
                Environmental Protection
                Global Change Ecology
                Earth Sciences
                Marine and Aquatic Sciences
                Coastal Ecology

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                Uncategorized

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