2-dimensional distribution data of Antarctic Toothfish prey

Habitat files of 28 Antarctic Toothfish (Dissostichus mawsoni) prey species and the Antarctic Toothfish itself, regridded to the FESOM-REcoM model grid, in NetCDF format. For use in article '21st-century environmental change decreases habitat overlap of Antarctic toothfish (Dissostichus mawsoni) and its prey'.

This dataset is a collection of the following:

1) 2-dimensional distribution data for 3 squid species, derived from Raymond et al. (2015)

2) 2-dimensional distribution data for 25 prey species and the Antarctic Toothfish, derived from AquaMaps distribution data

3) the model grid file.

A species is present in a certain gridcell when its value is 1, elsewhere the species is considered absent.

1)

Original files for the 3 squid species galiteuthis glacialis, kondakovia longimana and mesonychoteuthis hamiltoni are taken from previously published data of Raymond et al. (2015) and regridded to the FESOM-REcoM model grid. These squid species are considered to have their habitat anywhere where habitat suitability in the original Raymond et al. (2015) dataset exceeds the habitat suitability thresholds of 0.228 for Galiteuthis glacialis, 0.281 for Kondakovia longimana and 0.121 for Mesonychoteuthis hamiltoni (threshold values as in Xavier et al. (2016), personal communication with Ben Raymond 16.01.2023 to get exact values). These data have an original resolution of 0.1x0.1 degrees (regular longitude-latitude grid).

2)

The 25 files taken from AquaMaps start with Default_* or Reviewed_* and are the native predicted range data as provided by Kaschner et al. (2019). They were shared by Kathleen Kesner-Reyes from AquaMaps in March and April 2023 after being reviewed by her for correctness and actuality. The files that start with Reviewed_* have had adjustments made to the original Default_* based on this review, which is described in more detail on the AquaMaps website. These data have an original resolution of 0.5x0.5 degrees (regular longitude-latitude grid).

3)

The model grid file 'Mesh_ancillary_information_v20220919.nc' contains the longitude and latitude data needed for regridding to the FESOM-REcoM model grid. Regridding was done using CDO version 1.9.6 (http://mpimet.mpg.de/cdo; developed by U. Schulzweida) and CDO function 'remaplaf', which performs largest area fraction remapping.

References

Xavier, J.C., Raymond, B., Jones, D.C. et al. Biogeography of Cephalopods in the Southern Ocean Using Habitat Suitability Prediction Models. Ecosystems 19, 220–247 (2016). https://doi.org/10.1007/s10021-015-9926-1

Raymond, B., Xavier, J., Griffiths, H., Jones, D. (2015) Habitat suitability predictions for 15 species of cephalopods in the Southern Ocean, Ver. 1,  Australian Antarctic Data Centre - doi:10.4225/15/563AC33450A28, Accessed: 2023-01-16

Kaschner, K., Kesner-Reyes, K., Garilao, C., Segschneider, J., Rius-Barile, J. Rees, T., & Froese, R. (2019, October). AquaMaps: Predicted range maps for aquatic species. Retrieved from https://www.aquamaps.org.