Species distribution estimated from four Species Distribution Models (SDM) database, with their trophic levels informations

DOI

We identified a species list with occurrence records that included bivalves, cephalopods, crabs, and fish taxas. Occurrence records were collected from the publicly accessible databases: OBIS (www.iobis.org), the Intergovernmental Oceanographic Commission (ioc-unesco.org), GBIF (www.gbif.org), Fishbase (www.fishbase.org), and the International Union for the Conservation of Nature (http://www.iucnredlist.org/technical-documents/spatial-data). We eliminated duplicates, points on land and points outside of the known species biome from the compiled species occurrence data set (Froese, R. & Pauly, 2018). We excluded species whose TLs were unknown based on data from (FishBase www.fishbase.org and SeaLifeBase https://www.sealifebase.ca).

The data were then gridded into a raster of the global oceans (1° of longitude per 1° degree of latitude). The species with occurrence records in less than 30 cells were discarded from further analysis (Hernandez et al., 2006). Therefore, the final dataset includes 95 bivalves, 15 cephalopods, 122 crabs, and 5241 fish species.

Second, we employed an ensemble species distribution modelling approach (Asch et al., 2018; Reygondeau, 2019) to quantify these species' spatial distribution.

The dataset includes species name, average trophic level and spatial distribution according to species distribution models. The coordinates correspond to the centroid of each ocean spatial cell.

Identifier
DOI https://doi.org/10.57745/PI0N92
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/PI0N92
Provenance
Creator GUIBOURD DE LUZINAIS, Vianney
Publisher Recherche Data Gouv
Contributor GUIBOURD DE LUZINAIS, Vianney; REYGONDEAU, Gabriel
Publication Year 2024
Funding Reference Region bretagne ; NSERC Discovery Grant ; SSHRC
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact GUIBOURD DE LUZINAIS, Vianney (L'Institut Agro Rennes-Angers)
Representation
Resource Type Dataset
Format application/x-rlang-transport
Size 395510962
Version 1.0
Discipline Geosciences; Earth and Environmental Science; Environmental Research; Natural Sciences