Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, 4400 University Dr, Fairfax, VA, 22030, USA.
MD/DC Chapter, The Nature Conservancy, Bethesda, MD, USA.
Environ Monit Assess. 2024 Aug 16;196(9):817. doi: 10.1007/s10661-024-12961-z.
Salt marshes act as natural barriers that reduce wave energy during storm events and help protect coastal communities located in low-lying areas. This ecosystem can be an important asset for climate adaptation due to its particular capability of vertically accrete to adjust to long-term changes in water levels. Therefore, understanding marsh protection benefits thresholds in the face of sea-level rise (SLR) is important for planning future climate adaptation. In this context, the main goal of this manuscript is to examine how the storm protection benefits provided by salt marshes might evolve under SLR projections with different probability levels and emission pathways. In this study, a modeling framework that employs marsh migration predictions from the Sea Level Affecting Marshes Model (SLAMM) as parameterization into a hydrodynamic and wave model (ADCIRC + SWAN) was utilized to explicitly represent wave attenuation by vegetation under storm surge conditions. SLAMM predictions indicate that the SLR scenario, a combination of probability level and emission pathways, plays a substantial role in determining future marsh migration or marsh area loss. For example, results based on the 50% probability, stabilized emissions scenario show an increase of 45% in the marsh area on Maryland's Lower Eastern Shore by 2100, whereas Dorchester County alone could experience a 75% reduction in total salt marsh areas by 2100 under the 1% probability, growing emissions scenario. ADCIRC + SWAN results using SLAMM land cover and elevation outputs indicate that distinct temporal thresholds emerge where marsh extent sharply decreases and wave heights increase, especially after 2050, and exacerbates further after 2080. These findings can be utilized for guiding environmental policies and to aid informed decisions and actions in response to SLR-driven environmental changes.
盐沼起到天然屏障的作用,可以在风暴事件中减少波能,并有助于保护位于低地的沿海社区。由于其垂直堆积以适应长期水位变化的特殊能力,这种生态系统可以成为气候适应的重要资产。因此,了解在海平面上升(SLR)面前的沼泽保护效益阈值对于规划未来的气候适应非常重要。在这种情况下,本文的主要目标是研究在不同概率水平和排放途径的 SLR 预测下,盐沼提供的风暴保护效益可能会如何演变。在这项研究中,利用了一种建模框架,该框架将海平面影响沼泽模型(SLAMM)的沼泽迁移预测作为参数化,纳入水动力和波浪模型(ADCIRC + SWAN),以明确表示在风暴潮条件下植被对波浪衰减的影响。SLAMM 预测表明,SLR 情景(概率水平和排放途径的组合)在确定未来沼泽迁移或沼泽面积损失方面起着重要作用。例如,基于 50%概率、稳定排放情景的结果表明,到 2100 年,马里兰州下东海岸的沼泽面积将增加 45%,而仅在多切斯特县,到 2100 年,在 1%概率、增长排放情景下,盐沼总面积可能减少 75%。使用 SLAMM 土地覆盖和高程输出的 ADCIRC + SWAN 结果表明,在 2050 年后,尤其是在 2080 年后,沼泽范围急剧减少和波高增加的明显时间阈值出现,这进一步加剧了。这些发现可用于指导环境政策,并有助于在应对由海平面上升驱动的环境变化时做出明智的决策和采取行动。