NOAA-EDAB / catalog

repo organizing all of the synthetic indicator catalog
https://NOAA-EDAB.github.io/catalog/
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[Submission]: Species Distribution Indicators #104

Open sgaichas opened 9 months ago

sgaichas commented 9 months ago

Primary Contact

kevin.friedland@noaa.gov

Secondary Contact

No response

Data Name (This will be the displayed title in Catalog)

Species Distribution Indicators

Indicator Name (as exists in ecodata)

species_dist

Family (Which group is this indicator associated with?)

Data Description

Species mean depth, along-shelf distance, and distance to coastline

Introduction to Indicator (Please explain your indicator)

Distribution shifts for a suite of 48 commercially or ecologically important fish species were evaluated using center of gravity metrics based on NEFSC bottom trawl survey data.

Along-shelf distance is a metric for quantifying the distribution of a species through time along the axis of the US Northeast Continental Shelf, which extends northeastward from the Outer Banks of North Carolina. Once mean distance is found, depth of occurrence and distance to coastline can be calculated for each species’ positional center.

Key Results and Visualization

The center of distribution for a suite of 48 commercially or ecologically important fish species along the entire Northeast Shelf continues to show movement towards the northeast and generally into deeper water.

Implications

Temperature change is a major driver of changing fish distributions [@friedland_event_2019].

Spatial Scale

Shelfwide

Temporal Scale

Annual

Synthesis Theme

Define Variables

"along-shelf distance" "depth"
"distance to coast"
"Latitude"
"Longitude"

Indicator Category

If other, please specify indicator category

No response

Data Contributors

Kevin Friedland, Brandon Beltz

Point(s) of Contact

Kevin Friedland, kevin.friedland@noaa.gov

Affiliation

NEFSC

Public Availability

Source data are NOT publicly available.

Accessibility and Constraints

Contact Kevin Friedland, kevin.friedland@noaa.gov for data access