Tackling Uncertainties of Species Distribution Model Projections with Package mopa

Species Distribution Models (SDMs) constitute an important tool to assist decision-making in environmental conservation and planning in the context of climate change. Nevertheless, SDM pro jections are affected by a wide range of uncertainty factors (related to training data, climate projections and SDM techniques), which limit their potential value and credibility. The new package mopa pro vides tools for designing comprehensive multi-factor SDM ensemble experiments, combining multiple sources of uncertainty (e.g. baseline climate, pseudo-absence realizations, SDM techniques, future projections) and allowing to assess their contribution to the overall spread of the ensemble projection. In addition, mopa is seamlessly integrated with the climate4R bundle and allows straightforward retrieval and post-processing of state-of-the-art climate datasets (including observations and climate change projections), thus facilitating the proper analysis of key uncertainty factors related to climate data.

M. Iturbide , J. Bedia , J.M. Gutiérrez
2018-05-21

Supplementary materials

Supplementary materials are available in addition to this article. It can be downloaded at RJ-2018-019.zip

CRAN packages used

mopa, sdm, biomod2, dismo, SDMTools, raster, sp, e1071, stats, ranger, earth, tree, rpart, caret

CRAN Task Views implied by cited packages

MachineLearning, Multivariate, Environmetrics, Spatial, SpatioTemporal, Survival, Cluster, Distributions, HighPerformanceComputing, Psychometrics

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

Citation

For attribution, please cite this work as

Iturbide, et al., "Tackling Uncertainties of Species Distribution Model Projections with Package mopa", The R Journal, 2018

BibTeX citation

@article{RJ-2018-019,
  author = {Iturbide, M. and Bedia, J. and Gutiérrez, J.M.},
  title = {Tackling Uncertainties of Species Distribution Model Projections with Package mopa},
  journal = {The R Journal},
  year = {2018},
  note = {https://doi.org/10.32614/RJ-2018-019},
  doi = {10.32614/RJ-2018-019},
  volume = {10},
  issue = {1},
  issn = {2073-4859},
  pages = {122-139}
}