In chhetrid/rangemapR: A Modular Platform for Reproducible Modeling of Species Niches and Distributions

Component: Obtain Environmental Data

ORIENTATION

In addition to occurrence data, algorithms for niche/distributional modeling require environmental predictor variables (Franklin 2010 chap. 5, Peterson et al. 2011 chap. 6). Component Obtain Environmental Data allows users to obtain these variables from online sources in the form of raster grids. In recent years, a number of global databases of climate data have emerged (Hijmans et al. 2005, Kriticos et al. 2012, Sbrocco and Barber 2013, Karger et al. 2016). Currently, Wallace provides two options for environmental data. First, it offers access to present-day averaged climate data from the WorldClim dataset, which has near-global coverage of terrestrial areas (Module WorldClim). Second, users may alternatively upload environmental raster grids (Module User-Specified Environmental Data).

We envision that future releases will offer other terrestrial climate datasets (with different interpolation methodologies, e.g. CHELSA; or with different variables, e.g. CliMond); marine climate datasets (e.g. MARSPEC); vegetation, land cover, and land use data.

REFERENCES

Franklin J. (2010). Mapping Species Distributions: Spatial Inference and Prediction. Data for species distribution models: the environmental data. In: Mapping species distributions: spatial inference and prediction. Cambridge: Cambridge University Press.

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

Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E, Linder, H.P. & Kessler, M. (2016). CHELSA climatologies at high resolution for the earth's land surface areas (Version 1.1). World Data Center for Climate. doi:10.1594/WDCC/CHELSA_v1_1. http://dx.doi.org/doi:10.1594/WDCC/CHELSA_v1_1

Kriticos, D. J., Webber, B. L., Leriche, A., Ota, N., Macadam, I., Bathols, J., & Scott, J. K. (2012). CliMond: global high-resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods in Ecology and Evolution. 3: 53-64.

Peterson A. T., Soberón J., Pearson R. G., Anderson R. P., Martinez-Meyer E., Nakamura M., Araújo M. B. (2011). Environmental Data. In: Ecological Niches and Geographic Distributions. Princeton, New Jersey: Monographs in Population Biology, 49. Princeton University Press.

Sbrocco, E. J., & Barber, P. H. (2013). MARSPEC: ocean climate layers for marine spatial ecology. Ecology. 94: 979-979.

chhetrid/rangemapR documentation built on May 13, 2019, 11:09 a.m.