BIOMOD
BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling explicit treatment of a range of methodological uncertainties and the examination of species-environment relationships. BIOMOD includes the ability to model species distributions with several techniques, test models with a wide range of approaches, project species distributions into different environmental conditions (e.g. climate or land use change scenarios) and dispersal functions. It allows assessing species temporal turnover, plot species response curves, and test the strength of species interactions with predictor variables. BIOMOD is implemented in R and is a freeware, open source, package.
BIOMOD is available for any platform (Unix, MacOS, Windows) on R-Forge:
http://r-forge.r-project.org/projects/biomod/
It can be loaded directly from R using the following call:
install.packages(”BIOMOD”,repos=”http://R-Forge.R-project.org”)
BIOMOD should be cited as:
Thuiller, W., Lafourcade, B., Engler, R., & Araújo, M.B. 2009. BIOMOD – A platform for ensemble forecasting of species distributions. Ecography 32: 369-373
IBIODAT
Taxonomic data are stored in specimen collections, museum records, and to a lesser extent in digitized databases. Too often, these sources contain incorrect taxonomic references and inaccurate geographical locations. Errors in taxonomic references usually arise because of changes in species nomenclatures. Geo-referencing of data my have errors because of inaccuracies in the characterization of the locations where specimens were captured, and because collectors reported locality names that later are changed. To solve these problems, we developed the IBIODAT software (Application for Normalizing Taxonomic Collections in the Iberian Peninsula). This application enables checking and correction of already digitized collections and also provides a tool for digitizing and geo-referencing old collections. All the outputs of the application follow the formats of the international agreements on taxonomic collections digitization (Darwin Core, GIBIF).
More information and downloads can be obtained here
