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Evaluating regional resiliency of coastal wetlands to sea level rise through hypsometry-based modeling

机译:通过基于多重测量的建模来评估沿海湿地对海平面升高的区域弹性

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Sea level rise (SLR) threatens coastal wetlands worldwide, yet the fate of individual wetlands will vary based on local topography, wetland morphology, sediment dynamics, hydrologic processes, and plant-mediated feedbacks. Local variability in these factors makes it difficult to predict SLR effects across wetlands or to develop a holistic regional perspective on SLR response for a diversity of wetland types. To improve regional predictions of SLR impacts to coastal wetlands, we developed a model that addresses the scale-dependent factors controlling SLR response and accommodates different levels of data availability. The model quantifies SLR-driven habitat conversion within wetlands across a region by predicting changes in individual wetland hypsometry. This standardized approach can be applied to all wetlands in a region regardless of data availability, making it ideal for modeling SLR response across a range of scales. Our model was applied to 105 wetlands in southern California that spanned a broad range of typology and data availability. Our findings suggest that if wetlands are confined to their current extents, the region will lose 12% of marsh habitats (vegetated marsh and unvegetated flats) with 0.6 m of SLR (projected for 2050) and 48% with 1.7 m of SLR (projected for 2100). Habitat conversion was more drastic in wetlands with larger proportions of marsh habitats relative to subtidal habitats and occurred more rapidly in small lagoons relative to larger sites. Our assessment can inform management of coastal wetland vulnerability, improve understanding of the SLR drivers relevant to individual wetlands, and highlight significant data gaps that impede SLR response modeling across spatial scales. This approach augments regional SLR assessments by considering spatial variability in SLR response drivers, addressing data gaps, and accommodating wetland diversity, which will provide greater insights into regional SLR response that are relevant to coastal management and restoration efforts.
机译:海平面上升(SLR)威胁全球沿海湿地,但个人湿地的命运将根据当地地形,湿地形态,沉积物动力学,水文过程和植物介导的反馈而变化。这些因素中的局部变异使得难以预测湿地的单反效应或者对SLR响应的整体区域视角,对湿地类型的多样性。为了改善对沿海湿地的SLR影响的区域预测,我们开发了一种解决控制SLR响应的尺度依赖性因素的模型,并适应不同级别的数据可用性。该模型通过预测各个湿地低管中的变化来量化在一个地区的湿地内的SLR驱动的栖息地转换。这种标准化的方法可以应用于区域中的所有湿地,无论数据可用性如何,都可用于在一系列秤上建模单反响应。我们的模型应用于南加州的105次湿地,跨越广泛的类型和数据可用性。我们的研究结果表明,如果湿地被限制在其目前的范围内,该地区将损失12%的沼泽栖息地(植被沼泽和未完成的单位),SLR的0.6米(预计2050),48%,SLR 1.7米(预计2100)。湿地转换在湿地中更加激烈,湿地具有相对于阴性栖息地的比例更大的沼泽栖息地,并且在小泻湖中发生更快地发生相对于较大的位点。我们的评估可以告知沿海湿地漏洞的管理,提高对与个别湿地相关的单反驱动程序的理解,并突出显示跨空间尺度的SLR响应建模的重要数据空间。这种方法通过考虑SLR响应驱动因素,解决数据差距以及适应湿地多样性的空间可变性来增强区域单反评估,这将对与沿海管理和恢复工作相关的区域单反反应提供更大的见解。

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