1977
DOI: 10.21220/v50160
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Delineation of Tidal Wetlands Boundaries in Lower Chesapeake Bay and Its Tributaries

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Cited by 3 publications
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“…Consistent with this conceptual framework, we find that threshold elevations increase with salinity (Figure 3b), and that salinity is a key driver of threshold elevation in the multiple linear regression model (Table 1). Within the Atlantic coastal lagoon watersheds, which have the highest salinities in our study region (Figure 2b), exposure to highly saline waters from salt spray during storms measurably deviated the elevation of the coastal treeline from that expected by tidal range alone (Boon et al, 1977). In low salinity and low slope environments, representative of watersheds interspersed throughout our study region (Figures 2a and 2b), shading from plants has been shown to reduce evapotranspiration and facilitate forest regeneration, extending the lower limit of terrestrial forest, irrespective of increases in sea level rise and tidal inundation (Poulter et al, 2009;Veldkornet et al, 2015).…”
Section: Tablementioning
confidence: 84%
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“…Consistent with this conceptual framework, we find that threshold elevations increase with salinity (Figure 3b), and that salinity is a key driver of threshold elevation in the multiple linear regression model (Table 1). Within the Atlantic coastal lagoon watersheds, which have the highest salinities in our study region (Figure 2b), exposure to highly saline waters from salt spray during storms measurably deviated the elevation of the coastal treeline from that expected by tidal range alone (Boon et al, 1977). In low salinity and low slope environments, representative of watersheds interspersed throughout our study region (Figures 2a and 2b), shading from plants has been shown to reduce evapotranspiration and facilitate forest regeneration, extending the lower limit of terrestrial forest, irrespective of increases in sea level rise and tidal inundation (Poulter et al, 2009;Veldkornet et al, 2015).…”
Section: Tablementioning
confidence: 84%
“…These ecosystems are arranged in patterns largely set by elevation relative to position within the tidal frame (Brinson et al, 1995;Oertel, 1985). However, the elevation of transition from marsh to coastal forest, or threshold elevation, deviates from what is expected based on tidal datums due to complex interactions between other physical and biotic variables (Boon et al, 1977). Climate change adds a global-scale driver of threshold elevation as accelerating rates of global sea level rise (SLR) shift the marsh-forest boundary landward, but it remains unclear how local variables will interact to mediate the degree of change (Poulter et al, 2009;Robichaud & Begin, 1997).Untangling the interactions between global drivers and local factors is central to understanding the process of upland conversion to marsh.…”
mentioning
confidence: 99%
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“…higher threshold elevations (Boon et al 1977). Alternatively, previous modeling and remote sensing studies of marsh vulnerability typically assume that the upper elevation limit of marsh corresponds to astronomical tidal datums alone (e.g., highest astronomical tide [HAT]) (Thorne et al 2018;Mitchell et al 2020;Holmquist et al 2021).…”
Section: Quantifying Elevation Thresholdsmentioning
confidence: 99%