A growing number of coastal eco‐geomorphologic modeling studies have been conducted to understand coastal marsh evolution under sea‐level rise (SLR). Although these models quantify marsh topographic change as a function of sedimentation and erosion, their representations of vegetation dynamics that control organic sedimentation differ. How vegetation dynamic schemes contribute to simulation outcomes is not well quantified. Additionally, the sensitivity of modeling outcomes to parameter selection in the available formulations has not been rigorously tested to date, especially under the influence of an accelerating SLR. In this study, we used a coastal eco‐geomorphologic model with different vegetation dynamic schemes to investigate the eco‐geomorphologic feedbacks of coastal marshes and parametric sensitivity under SLR scenarios. We found that marsh platform relief increased with SLR rate. The simulations with different vegetation schemes exhibited different spatial‐temporal variations in elevation and biomass. The nonlinear Spartina scheme presented the most resilient prediction with generally the highest marsh accretion and vegetation biomass, and the least elevation relief under SLR. But the linear Spartina scheme predicts the lowest unvegetated‐vegetated ratio. We also found that vegetation‐related parameters and sediment diffusivity, which were not well measured or discussed in previous studies, were identified as some of the most critical parameters. Additionally, the model sensitivity to vegetation‐related parameters increased with SLR rates. The identified most sensitive parameters may inform how to appropriately choose modeling representations of key processes and parameters for different coastal marsh landscapes under SLR and demonstrate the importance of future field measurements of these key parameters.

中文翻译：

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了解海平面上升下沿海沼泽的生态地貌反馈：植被动态表示，过程相互作用和参数敏感性

为了理解海平面上升（SLR）下的海岸沼泽演变，进行了越来越多的海岸生态地貌建模研究。尽管这些模型将沼泽地形变化量化为沉积和侵蚀的函数，但它们控制有机沉积的植被动力学的表示却有所不同。植被动态方案如何对模拟结果做出贡献尚不清楚。此外，迄今为止，尚未严格测试建模结果对可用配方中参数选择的敏感性，特别是在SLR加速的影响下。在这项研究中，我们使用了具有不同植被动态方案的沿海生态地貌模型，以研究SLR情景下沿海沼泽地的生态地貌反馈和参数敏感性。我们发现，沼泽平台的地形随单反率的增加而增加。不同植被方案的模拟显示海拔和生物量的时空变化不同。非线性Spartina方案提出了最有弹性的预测，通常沼泽吸收量和植被生物量最高，而SLR下的海拔降低量最小。但线性互花米草方案预测最低无植被草木比。我们还发现，与植被有关的参数和沉积物扩散率在先前的研究中没有得到很好的测量或讨论，被确定为一些最关键的参数。此外，模型对植被相关参数的敏感性随SLR率的增加而增加。标识出的最敏感的参数可以告知如何恰当地选择单反造型下的关键流程的陈述和不同的沿海湿地景观参数，并证明这些关键参数的将来实地测量的重要性。