sdmpredictors: Species Distribution Modeling Predictor Datasets

Terrestrial and marine predictors for species distribution modeling from multiple sources, including WorldClim (https://www.worldclim.org/), Bio-ORACLE (https://bio-oracle.org/) and MARSPEC (http://www.marspec.org/).

References

WorldClim: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis (2005). Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978. (doi:10.1002/joc.1276 )

ENVIREM: Title, P. O. and Bemmels, J. B. (2017). envirem: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography (Cop.). in press. (doi:10.1111/ecog.02880 )

Bio-ORACLE: Tyberghein L., Verbruggen H., Pauly K., Troupin C., Mineur F. & De Clerck O. (2012) Bio-ORACLE: a global environmental dataset for marine species distribution modeling. Global Ecology and Biogeography (doi:10.1111/j.1466-8238.2011.00656.x ).

Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrao, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography. (doi:10.1111/geb.12693 )

MARSPEC: Sbrocco, EJ and Barber, PH (2013) MARSPEC: Ocean climate layers for marine spatial ecology. Ecology 94: 979. (doi:10.1890/12-1358.1 )