Niche modelling and correlation analyses of climate variables

In this work, we explore the impact of demography and biogeographic history in ecological niche model interpretations, examining the potential of integrating genetic and ecological methodologies in elucidating the evolutionary dynamics of the geographic ranges of cryptic species. We conducted intensive sampling across the Iberian Peninsula to obtain mtDNA phylogeographic data, and develop fine-scale climate models for the cryptic earwigs Forficula dentata and F. mediterranea. The phylogeographic patterns revealed divergent evolutionary histories: F. dentata exhibited a well-established, geographically structured lineage, while F. mediterranea displayed a star-shape pattern typical of recent expansion. Comparison of current climate models and those projected into the past and future, indicate that F. dentata, seems to be facing a substantial reduction in its suitable habitat due to ongoing climate change, and potentially exacerbated by interaction with F. mediterranea. Our results show t..., , , Two scripts are provided to build ecological niche models and project them to past or future conditions.

The \"occurrence_data_and_variables.R\" script corresponds to the previous analyses to curate the occurrence data (eliminating points in close proximity to each other and points located in cities) to avoid as much bias as possible. Analyses are also performed to select uncorrelated variables.

The second script \"Model_ABSENCES_FINAL.R\" provides the steps necessary to build the models and project them.

No abbreviations or codes are used that are not explained throughout the script.
Before each analysis, the title of what is to be done appears, or alternatively, as an explanation that accompanies the command line.

As the available climate variables sometimes change on the web and are difficult to find, we provide the ones we use \"2.5m_CNRM-ESM2-1_ssp370_2061-2080.tif\". They correspond to the future climate variables, as their name indicates, for the period 2061-2080, a CNRM-ESM2-1 sce...