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A Coastal Vulnerability Framework to Guide Natural Infrastructure Funds Allocation in Compressed Time
Environmental Management ( IF 3.5 ) Pub Date : 2020-12-04 , DOI: 10.1007/s00267-020-01397-z
Luis Santiago , Maritza Barreto , Alfredo Montañez-Acuña , Thomas Flecha , Nahir Cabrera , Valeria Bonano , Loderay Bracero Marrero , Elizabeth Díaz

Hurricane Maria, a category 4 tropical cyclone, hit the US non-incorporated territory of Puerto Rico on September 20, 2017. Widespread physical and natural infrastructure damage was observed, especially in already vulnerable coastal communities. As public sector funding availability for natural infrastructure (ex. coastal ecosystems) increases, mechanisms for its efficient and equitable allocation are lacking. An accessible and replicable coastal vulnerability indicator framework is presented to assist state and federal policy makers in the allocation of funding for coastal natural infrastructure recovery. To assess funding priorization gaps and test the applicability of the proposed framework, spatial patterns in the estimated funding need identified in state-led post-Hurricane Maria assessments for natural infrastructure rehabilitation efforts were compared to physical and social coastal vulnerability estimations. Three main challenges that emerge during the implementation of a vulnerability indicator framework were considered for its design: (1) the compressed time frame in which decisions are made after an extreme weather event, (2) the availability of data to calculate indicators in a reduced time frame, and (3) the accessibility of results to a broad variety of stakeholders. We propose a vulnerability indicator framework that can become operational in a relatively short period of time, attempts to simplify data gathering efforts, and uses methods that aim to be more transparent and understandable to a broad group of stakeholders.

中文翻译:

在压缩时间内指导自然基础设施资金分配的沿海脆弱性框架

4 级热带气旋玛丽亚飓风于 2017 年 9 月 20 日袭击了美国非建制领土波多黎各。 观察到广泛的物理和自然基础设施损坏,特别是在已经脆弱的沿海社区。随着公共部门为自然基础设施(例如沿海生态系统)提供的资金增加,其有效和公平分配的机制缺乏。提出了一个可访问和可复制的沿海脆弱性指标框架,以帮助州和联邦政策制定者为沿海自然基础设施恢复分配资金。评估资金优先安排差距并测试拟议框架的适用性,将国家主导的飓风后玛丽亚自然基础设施恢复工作评估中确定的估计资金需求的空间模式与自然和社会沿海脆弱性估计进行了比较。脆弱性指标框架实施过程中出现的三个主要挑战在设计时被考虑:(1) 极端天气事件后做出决策的压缩时间框架,(2) 计算指标的数据可用性时间框架,以及 (3) 结果对广泛的利益相关者的可及性。我们提出了一个可以在相对较短的时间内投入使用的漏洞指标框架,尝试简化数据收集工作,并使用旨在使广大利益相关者更加透明和易于理解的方法。
更新日期:2020-12-04
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