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Data Name (This will be the displayed title in Catalog)
Community Climate Vulnerability Indicators
Indicator Name (as exists in ecodata)
community_climate_vulnerability
Family (Which group is this indicator associated with?)
Oceanographic
Habitat
Lower trophic levels
Megafauna
Social
Economic
Data Description
The dataset contains by year by community scores for community sensitivity to temperature, ocean acidification, stock size/status, total sensitivity, and total vulnerability based on Hare et al. 2016 species vulnerability and community dependency. Reciprocal Simpson's Diversity scores for each community, Regional Quotients, and Regional climate vulnerability scores are also included.
Introduction to Indicator (Please explain your indicator)
Coastal fishing communities are greatly affected by climate change, both because of their physical location and because of their frequent social, cultural, and economic dependence on fishing. These impacts are expected to become more pressing as climatic changes become more extensive. Changes in ocean temperature and acidification affecting marine life have the potential to directly impact fisheries and fishery dependent livelihoods. Coastal fishing communities worldwide have or are likely to experience social, economic, and cultural impacts from climate change, both negative (e.g., loss of infrastructure, fish stock decline) and positive (e.g., increased abundance of valuable species). Changes in marine fisheries as a consequence of climate change will require adaptation by coastal fishing communities and fisheries managers alike. The Community Climate Change Vulnerability Indicators were developed to help examine trends in climate change vulnerability in U.S. coastal fishing communities in the Northeast Region using indicators developed to understand fishing community level risk to climate change as based on species dependency.
Key Results and Visualization
Regional level analyses (maps); Community level analysis (community profiles)
Primary Contact
[email protected]
Secondary Contact
No response
Data Name (This will be the displayed title in Catalog)
Community Climate Vulnerability Indicators
Indicator Name (as exists in ecodata)
community_climate_vulnerability
Family (Which group is this indicator associated with?)
Data Description
The dataset contains by year by community scores for community sensitivity to temperature, ocean acidification, stock size/status, total sensitivity, and total vulnerability based on Hare et al. 2016 species vulnerability and community dependency. Reciprocal Simpson's Diversity scores for each community, Regional Quotients, and Regional climate vulnerability scores are also included.
Introduction to Indicator (Please explain your indicator)
Coastal fishing communities are greatly affected by climate change, both because of their physical location and because of their frequent social, cultural, and economic dependence on fishing. These impacts are expected to become more pressing as climatic changes become more extensive. Changes in ocean temperature and acidification affecting marine life have the potential to directly impact fisheries and fishery dependent livelihoods. Coastal fishing communities worldwide have or are likely to experience social, economic, and cultural impacts from climate change, both negative (e.g., loss of infrastructure, fish stock decline) and positive (e.g., increased abundance of valuable species). Changes in marine fisheries as a consequence of climate change will require adaptation by coastal fishing communities and fisheries managers alike. The Community Climate Change Vulnerability Indicators were developed to help examine trends in climate change vulnerability in U.S. coastal fishing communities in the Northeast Region using indicators developed to understand fishing community level risk to climate change as based on species dependency.
Key Results and Visualization
Regional level analyses (maps); Community level analysis (community profiles)
Implications
Not included.
Spatial Scale
By community (not port) in all NE region
Temporal Scale
Yearly 2000-2022; Maps: 5year average 2018-2022
Synthesis Theme
Define Variables
See codebook in dataset
Indicator Category
If other, please specify indicator category
No response
Data Contributors
Tarsila Seara, Patricia Clay, Changhua Weng
Point(s) of Contact
Tarsila Seara ([email protected])
Affiliation
NEFSC
Public Availability
Source data are NOT publicly available.
Accessibility and Constraints
No response
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