Section outline

  • In this module we will use the dataset obtained in module 2 to train the SDMs (occurrences + bioclimatic variables). We produce an SDM for P. krameri under the current climatic conditions and then we will project the model’s results in space (at global level) and in time taking into account the current and the future ("worst" IPCC Fifth Report scenario for the 2070, see also IPCC, 2013) climate conditions. The final training of the model will be performed using an ensemble forecasting approach based on the use of multiple modelling algorithms and the average of the respective predictions (see Thuiller et al., 2009).