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      Biophysical Drivers of Coastal Treeline Elevation

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          Abstract

          Sea level rise is leading to the rapid migration of marshes into coastal forests and other terrestrial ecosystems. Although complex biophysical interactions likely govern these ecosystem transitions, projections of sea level driven land conversion commonly rely on a simplified “threshold elevation” that represents the elevation of the marsh‐upland boundary based on tidal datums alone. To determine the influence of biophysical drivers on threshold elevations, and their implication for land conversion, we examined almost 100,000 high‐resolution marsh‐forest boundary elevation points, determined independently from tidal datums, alongside hydrologic, ecologic, and geomorphic data in the Chesapeake Bay, the largest estuary in the U.S. located along the mid‐Atlantic coast. We find five‐fold variations in threshold elevation across the entire estuary, driven not only by tidal range, but also salinity and slope. However, more than half of the variability is unexplained by these variables, which we attribute largely to uncaptured local factors including groundwater discharge, microtopography, and anthropogenic impacts. In the Chesapeake Bay, observed threshold elevations deviate from predicted elevations used to determine sea level driven land conversion by as much as the amount of projected regional sea level rise by 2050. These results suggest that local drivers strongly mediate coastal ecosystem transitions, and that predictions based on elevation and tidal datums alone may misrepresent future land conversion.

          Plain Language Summary

          As sea level rise (SLR) drives saltwater further inland, terrestrial ecosystems change to tidally controlled ecosystems. A common ecosystem transition is coastal forest conversion to marsh, which forms ghost forests, characterized as dead trees surrounded by marsh. Most projections of SLR assume that the boundary between forest and marsh can be defined simply by the furthest landward extent of the tide. However, forest to marsh conversion can be influenced by other physical processes and vegetation interactions. Here we analyze the location of the marsh‐forest boundary across the entire Chesapeake Bay, defined using 100,000 elevation points, alongside environmental variable data sets to determine drivers of coastal forest retreat. As the largest estuary in the U.S., the Chesapeake Bay provides a study area where the elevation of transition from forest to marsh varies substantially. We find this variation in elevation to be driven by not only tidal range, but also soil salinity and slope of the land, yet these variables explain <50% of the variability in elevation. This suggests that local factors unaccounted for in this study also strongly influence the retreat of coastal forests, even at regional scales. Therefore, projections of SLR that rely solely on tidal extents may misrepresent future land conversion.

          Key Points

          • Treeline elevations increase with tidal range, salinity and slope, but are not correlated with climate or marsh characteristics

          • Macro‐scale drivers account for <50% treeline elevation variability indicating that local factors mediate estuary‐scale sea level responses

          • Offsets between treeline elevation and tidal datums suggest that standard sea level rise projection methods may misrepresent land conversion

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          Mixed effects models and extensions in ecology with R

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            High-resolution mapping of global surface water and its long-term changes.

            The location and persistence of surface water (inland and coastal) is both affected by climate and human activity and affects climate, biological diversity and human wellbeing. Global data sets documenting surface water location and seasonality have been produced from inventories and national descriptions, statistical extrapolation of regional data and satellite imagery, but measuring long-term changes at high resolution remains a challenge. Here, using three million Landsat satellite images, we quantify changes in global surface water over the past 32 years at 30-metre resolution. We record the months and years when water was present, where occurrence changed and what form changes took in terms of seasonality and persistence. Between 1984 and 2015 permanent surface water has disappeared from an area of almost 90,000 square kilometres, roughly equivalent to that of Lake Superior, though new permanent bodies of surface water covering 184,000 square kilometres have formed elsewhere. All continental regions show a net increase in permanent water, except Oceania, which has a fractional (one per cent) net loss. Much of the increase is from reservoir filling, although climate change is also implicated. Loss is more geographically concentrated than gain. Over 70 per cent of global net permanent water loss occurred in the Middle East and Central Asia, linked to drought and human actions including river diversion or damming and unregulated withdrawal. Losses in Australia and the USA linked to long-term droughts are also evident. This globally consistent, validated data set shows that impacts of climate change and climate oscillations on surface water occurrence can be measured and that evidence can be gathered to show how surface water is altered by human activities. We anticipate that this freely available data will improve the modelling of surface forcing, provide evidence of state and change in wetland ecotones (the transition areas between biomes), and inform water-management decision-making.
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              Future response of global coastal wetlands to sea-level rise

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                Author and article information

                Contributors
                Journal
                Journal of Geophysical Research: Biogeosciences
                JGR Biogeosciences
                American Geophysical Union (AGU)
                2169-8953
                2169-8961
                December 2023
                December 22 2023
                December 2023
                : 128
                : 12
                Affiliations
                [1 ] Virginia Institute of Marine Science William &amp; Mary Gloucester Point VA USA
                [2 ] U.S. Geological Survey Eastern Ecological Science Center Beltsville MD USA
                [3 ] U.S. Geological Survey Woods Hole Coastal and Marine Science Center Woods Hole MA USA
                Article
                10.1029/2023JG007525
                03e5fe0c-b9f1-4472-a903-c26299030582
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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