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Atlantic bluefin tuna (Thunnus thynnus) presence and pseudoabsence locations with 13 remotely sensed environmental variables

Cite this dataset

McNicholas, Grace (2024). Atlantic bluefin tuna (Thunnus thynnus) presence and pseudoabsence locations with 13 remotely sensed environmental variables [Dataset]. Dryad. https://doi.org/10.5061/dryad.qfttdz0q7

Abstract

Atlantic bluefin tuna (Thunnus thynnus; ABFT) are a highly important fisheries species of economic and conservation concern. Understanding their distributions, particularly under climate change is imperative for effective management. Here we assemble a dataset of 4,216 true presence locations for ABFT tagged with pop-up satellite archival tags off the west coast of Ireland between 2016-2021 and 392,009 pseudoabsence locations simulated by a series of correlated random walk modelling. The dataset also contains remotely sensed data at each location for 13 environmental variables including: bathymetry (m), rugosity (m), absolute dynamic topography (m) and it’s spatial standard deviation, log surface chlorophyll-a (Log mg m-3), mixed layer depth (m), mean primary productivity over the top 200m of the water column (mg m-3), mean oxygen over the top 200m of the water column (mmol m-3), sea level height anomaly (m) and it’s standard deviation, sea surface temperature (°C) and it's spatial standard deviation, and log eddy kinetic energy (Log m2 s-2).

README: Dataset for Atlantic bluefin tuna (Thunnus thynnus) presence and pseudoabsence locations with 13 remotely sensed environmental variables

https://doi.org/10.5061/dryad.qfttdz0q7

The dataset contains true presence and modelled pseudoabsence location data for Atlantic bluefin tuna (Thunnus thynnus; ABFT). At each location data for 13 remotely sensed environmental variables is provided, including: bathymetry (m), rugosity (m), absolute dynamic topography (m) and it’s spatial standard deviation, log surface chlorophyll-a (mg m-3), mixed layer depth (m), mean primary productivity over the top 200m of the water column (mg m-3), mean oxygen over the top 200m of the water column (mmol m-3), sea level anomaly (m) and it’s standard deviation, sea surface temperature (°C) and it's spatial standard deviation, and log eddy kinetic energy (m2 s-2).

Description of the data and file structure

The data is provided as a .csv file and can easily be read into R. The data may be used to produce further species distribution models.

The .csv file has 18 columns:

  1. TagID - identification of the individual pop-up satellite archival tag
  2. Longitude
  3. Latitude
  4. Presence - '0' represents modelled psuedoabsence data and '1' represents true presence data
  5. Date
  6. bathy - Bathymetry (m)
  7. bathy_sd - Rugosity (m)
  8. adt - Absolute dynamic topography (m)
  9. adt_sd - Absolute dynamic topography standard deviation (m)
  10. l.chl - Log surface chlorophyll-a (mg m-3)
  11. mld - Mixed layer depth (m)
  12. PPupper200m - mean primary productivity over the top 200m of the water column (mg m-3)
  13. sla - Sea level anomaly (m)
  14. sla_sd - Sea level anomaly standard deviation (m)
  15. eke - Log eddy kinetic energy (m2 s-2)
  16. oxy200m - Mean oxygen over the top 200m of the water column (mmol m-3)
  17. sst - Sea surface temperature (°C)
  18. sst_sd - Sea surface temperature standard deviation (°C)

NAs indicate gaps in the data frame whereby remotely sensed environmental data was unavailable. 

Funding

Marine Institute, Award: CS/20/003

International Commission for the Conservation of Atlantic Tunas, Atlantic Wide Research Programme for Bluefin Tuna

European Maritime and Fisheries Fund