沿海湿地的生态水文相互作用及其对未来海平面上升的适应能力

P. Saco, José Raúl Rodríguez Rodríguez, A. Breda, S. Sandi
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引用次数: 0

摘要

由于环境变量的不确定性,以及模型中不可避免的简化,对海平面上升影响下滨海湿地命运的预测差异很大。由于过程和外部驱动因素的不确定性,利用模式评估海平面上升下的沿海湿地恢复力具有挑战性。此外,为了能够进行包括大范围时间和空间尺度的过程在内的长期复杂模拟,需要进行一些假设和简化。其中一些简化可以对湿地恢复力的评估产生重要影响。在这篇文章中,我们研究了一些通常用于沿海湿地演化模型的简化方法,并试图量化它们对结果的影响。我们包括了与水动力学、泥沙运输和植被动力学相关的简化,重点关注过程描述、过程相互作用和时空离散化问题。我们特别注意识别包括简化程度的方法,以便在可接受的误差范围内进行有效的计算。最后,我们提出了一个简化的区域模型,其中包括影响湿地演变的所有相关的水动力、沉积和植被动力学机制,它不需要详细的信息,并且计算效率足够高,可以进行长时间的模拟。我们测试了这个框架,并将其应用于世界各地沿海湿地的不同环境中,包括不同的地貌配置、植被类型、沉积物特征和潮汐状态(见下图)。分析的大多数湿地环境无法应对预计到本世纪末的高单反率,这与使用高单反率时期的古记录的结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ecohydrological interactions in coastal wetlands and their resilience to future sea-level rise
: Predictions of the fate of coastal wetlands under the effects of sea-level rise (SLR) vary widely due to uncertainties on environmental variables, but also due to unavoidable simplifications in the models. Assessment of coastal wetland resilience under rising sea levels using models is challenging due to uncertainties in processes and external drivers. In addition, a number of assumptions and simplifications are required in order to be able to carry out long-term complex simulations that include processes over a wide range of time and spatial scales. Some of those simplifications can have important implications for the assessment of wetland resilience. In this contribution we look at a number of simplifications typically used in coastal wetland evolution models, and we try to quantify their effects on the results. We include simplifications related to hydrodynamics, sediment transport and vegetation dynamics focusing on issues of process description, process interactions and spatial and temporal discretisation. We pay special attention to the identification of methods that include a level of simplification that allows for efficient computation with acceptable margins of error. Finally, we present a simplified domain model that includes all relevant hydrodynamic, sedimentation and vegetation dynamics mechanisms that affect wetland evolution, it does not require detailed information and it is efficient enough computationally to allow the simulation of long time periods. We test this framework and apply it in different settings typically found in coastal wetlands around the world, comprising different geomorphic configurations, vegetation types, sediment characteristics and tidal regimes (see figure below). Most of the wetland settings analysed are unable to cope with the high SLR rates expected by the end of the century, in agreement with results using paleo-records during periods of high SLR rates.
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