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Technical Documentation, State of the Ecosystem Report

65 Community Social Vulnerability Indicators (CSVI)

Description: The data presented here are 2022 environmental justice indicators in top commercial and top recreational communities in Mid-Atlantic and New England regions, respectively.

Found in: State of the Ecosystem - Gulf of Maine & Georges Bank (2018+), State of the Ecosystem - Mid-Atlantic (2018+), State of the Ecosystem - Indicator Catalog (2024+)

Indicator category: Database pull with analysis

Contributor(s): Robert Murphy, Changhua Weng, Tanya Noteva

Data steward: Robert Murphy ; Changhua Weng

Point of contact: Robert Murphy ; Changhua Weng

Public availability statement: Source data are NOT publicly available. Please email Robert Murphy for further information and queries of fishing and vulnerability indicator source data.

65.1 Methods

65.1.1 Data sources

NOAA Fisheries’ Community Social Vulnerability Indicators (CSVIs) were developed using secondary data including social, demographic, and fisheries variables. The social and demographic data were downloaded from the 2022 American Community Survey (ACS) 5-yr estimates Dataset in the U.S. Census American Community Survey (ACS) for coastal communities at the Census Designated Place (CDP) level, and in some cases the County Subdivision (MCD) level. Commercial fisheries data were pulled from the CAMS server located at Northeast Fisheries Science Center in Woods Hole, MA. The recreational fishing information is publicly accessible through the Marine Recreational Information Program (MRIP), and for this analysis was custom requested from NOAA Fisheries headquarters.

65.1.2 Data extraction

Commercial fisheries data was pulled from the NEFSC SOLE server in Woods Hole, MA.

SQL and SAS code for data extraction and processing steps can be found here.

65.1.3 Data analysis

The indicators were developed using the methodology described in Jacob et al. (2010), Jacob et al. (2013), Colburn and Jepson (2012) and M. Jepson and Colburn (2013). Indicators were constructed through principal component analysis with a single factor solution, and the following criteria had to have been met: a minimum variance explained of 45%; Kasier-Meyer Olkin measure of sampling adequacy above 0.500; factor loadings above 0.350; Bartlett’s test of sphericity significance above 0.05; and an Armor’s Theta reliability coefficient above 0.500. Factor scores for each community were ranked based on standard deviations into the following categories: High (>=1.00SD), Medium-High 0.500-0.999 SD), Medium (0.000-0.499 SD) and Low (<0.000 SD).

Note, commercial and recreational reliance indicators have been renamed as ‘population relative engagement’ indicators given that they are a proxy for how engaged each community is in fishing relative to its total population size. The calculation of these indicators remains the same.

65.1.4 Data processing

Commercial fisheries data was pulled from the NEFSC CAMS server in Woods Hole, MA.

Data were formatted for inclusion in the ecodata R package using the R script found here.

catalog link https://noaa-edab.github.io/catalog/engagement.html