Evidence map›Paper›PMID 33275171›Full record

ArticleEnvironmental management2021

A Coastal Vulnerability Framework to Guide Natural Infrastructure Funds Allocation in Compressed Time.

Luis Santiago, Maritza Barreto, Alfredo Montañez-Acuña, Thomas Flecha, Nahir Cabrera, Valeria Bonano, Loderay Bracero Marrero, Elizabeth Díaz

Abstract read
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Article in Environmental management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Luis SantiagoSchool of Public Administration, University of Central Florida, Orlando, FL, USA. luis.santiago2@ucf.edu.
Maritza BarretoGraduate School of Planning, University of Puerto Rico, San Juan, Puerto Rico.
Alfredo Montañez-AcuñaGraduate School of Planning, University of Puerto Rico, San Juan, Puerto Rico.
Thomas FlechaGraduate School of Law, Interamerican University, San Juan, Puerto Rico.
Nahir CabreraDepartment of History, University of Puerto Rico, San Juan, Puerto Rico.
Valeria BonanoGraduate School of Planning, University of Puerto Rico, San Juan, Puerto Rico.
Loderay Bracero MarreroDepartment of Environmental Sciences, University of Puerto Rico, San Juan, Puerto Rico.
Elizabeth DíazCoastal Research and Planning Institute of Puerto Rico, University of Puerto Rico, San Juan, Puerto Rico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Cyclonic StormsFinancial ManagementEcosystemPuerto Rico

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.