Published May 27, 2025
| Version v1
Dataset
Open
Data from: Environmental and human factors shape the trophic ecology of a widespread marine predator
Authors/Creators
-
1.
Institut de Ciències del Mar
- 2. Instituto de Ciencias del Mar (ICM) - CSIC
-
3.
Instituto Español de Oceanografía
- 4. Instituto Español de Oceanografía Centro Oceanográfico de Málaga
- 5. Instituto de Ciencias del Mar (ICM), CSIC
Description
This dataset contains the data and code used in Fernández-Corredor et al. 2025. Environmental and human factors shape the trophic ecology of a widespread marine predator. Journal of Animal Ecology.
It includes:
- Raw values from the stable isotopes analysis performed in swordfish white muscle (file: Fernandez-Corredor et al 2025 JAE_Stable Isotopes Data.xlsx)
- Outputs from the mixing models (file: Fernandez-Corredor et al 2025 JAE_MixSIAR results.xlsx)
- Environmental layers from BioOracle v3 (Assis et al. 2024) (fFernandez-Corredor et al 2025 JAE_spatial.zip)
- Cummulative fishing effort raster calculated from Global Fishing Watch data (Kroodsma et al. 2018) (Fernandez-Corredor et al 2025 JAE_spatial.zip)
- A shapefile with the grid used for predictions and projections (Fernandez-Corredor et al 2025 JAE_spatial.zip)
- Rmarkdowns with the code used in the analysis (Fernandez-Corredor et al 2025 JAE_code.zip)
Assis, J., Fernández Bejarano, S.J., Salazar, V.W., Schepers, L., Gouvêa, L., Fragkopoulou, E., Leclercq, F., Vanhoorne, B., Tyberghein, L., Serrão, E.A., Verbruggen, H., De Clerck, O., 2024. Bio-ORACLE v3.0. Pushing marine data layers to the CMIP6 Earth System Models of climate change research. Global Ecology and Biogeography 33, e13813. https://doi.org/10.1111/geb.13813
Kroodsma, D., Mayorga, J., Hochberg, T., Miller, N., Boerder, K., Ferretti, F., Wilson, A., Bergman, B., White, T., Block, B., Woods, P., Sullivan, B., Costello, C., Worm, B., 2018. Tracking the Global Footprint of Fisheries. Science 359. https://doi.org/10.1126/science.aao5646
Files
Fernandez-Corredor et al 2025 JAE_code.zip
Additional details
Software
- Repository URL
- https://github.com/ElenaFCorr/Swordfish-diet-drivers-and-predictions
- Programming language
- R