Evidence map›Paper›PMID 36590988›Full record

ArticleFrontiers in environmental science2019

Using Re-scaled Resilience Screening Index Results and Location Quotients for Socio-Ecological Characterizations in U.S. Coastal Regions.

Lisa M Smith, Linda C Harwell, J Kevin Summers, Justin Bousquin, Kyle D Buck, James E Harvey, Michelle McLaughlin

Abstract read
In one paragraph

Article in Frontiers in environmental science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Urbanization Impact on Regional Sustainable Development: Through the Lens of Urban-Rural Resilience.International journal of environmental research and public health · 2022
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lisa M SmithNational Health and Environmental Effects Laboratory, Gulf Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Gulf Breeze, FL, United States.
Linda C HarwellNational Health and Environmental Effects Laboratory, Gulf Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Gulf Breeze, FL, United States.
J Kevin SummersNational Health and Environmental Effects Laboratory, Gulf Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Gulf Breeze, FL, United States.
Justin BousquinNational Health and Environmental Effects Laboratory, Gulf Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Gulf Breeze, FL, United States.
Kyle D BuckNational Health and Environmental Effects Laboratory, Gulf Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Gulf Breeze, FL, United States.
James E HarveyNational Health and Environmental Effects Laboratory, Gulf Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Gulf Breeze, FL, United States.
Michelle McLaughlinStudent Services Contractor, Oak Ridge Associated Universities, Oak Ridge, TN, United States.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

In terms of natural hazard events, resilience characterizations provide a means of identifying risk profiles, degrees of preparedness, and the ability of communities to respond and recover. While nationally consistent measures of community resilience to natural hazards are needed to address widespread socio-ecological impacts from a broad policy perspective, geographically specific resilience characterizations are needed to target local resources to increase community resilience. The Climate Resilience index (CRSI) was developed to characterize the resilience of socio-ecological systems in the context of governance and risk to natural hazard events for all U.S. counties for the years 2000-2015. Those resilience characterizations were based on the full range of nationwide county domain scores. This paper presents a re-scaled application of CRSI, where county domain scores are limited to the range of scores within a specific set of U.S. coastal and shoreline counties within each of eight coastal regions. The re-scaled CRSI values for selected counties/parishes in the Gulf of Mexico (GOM) region are also presented in conjunction with calculated Location Quotients (LQ) values >1.0, which represent a high employment dependence on ocean economy sectors. Using a combination of re-scaled CRSI and LQ values provides a more holistic picture of vulnerability and resilience in these U.S. coastal shoreline counties. The relative resilience assessments presented for coastal regions are useful in identifying potential strengths and weaknesses in resilience aspects given similar hazard profiles, a signature otherwise diluted in nation-wide county-level assessments. The unique approach of combining CRSI and LQ for characterizing natural hazard resilience described could be transferred to other specific geographies as defined by population groups, hazard profiles and economic dependence.

Indexed as

climate resilience screening index (CRSI)location quotient (LQ)natural hazard eventsocean economysocio-ecological characterizationsU.S. coastal and coastal shoreline counties

Identifiers

PMID36590988
PMCPMC9801489

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.