ClimateAnalyzer: set of scripts to delimit regions based on bioclimatic variables

Habitat stability is important for maintaining biodiversity by preventing species extinction, but this stability is being challenged by climate change. The tropical alpine ecosystem is currently one of the ecosystems most threatened by global warming, and the flora close to the permanent snow line is at high risk of extinction. The tropical alpine ecosystem, found in South and Central America, Malesia and Papuasia, Africa, and Hawaii, is of relatively young evolutionary age, and it has been exposed to changing climates since its origin, particularly during the Pleistocene. Estimating habitat loss and gain between the Last Glacial Maximum (LGM) and the present allows us to relate current biodiversity to past changes in climate and habitat stability. In order to do so, 1) we developed a unifying climate-based delimitation of tropical alpine regions across continents, and 2) we used this delimitation to assess the degree of habitat stability, i.e. the overlap of suitable areas between the ..., The dataset consists of a set of script developed for the corresponding publication using CHELSA v.1.2 (https://chelsa-climate.org/downloads/) to delimit tropical alpine regions based on bioclimatic variables.
Using the scripts and setting the limits of the respective bioclimatic variables, will result in the GIS shapefiles with the delimitied region. Here, we provide the corresponding GIS shapefiles and figures for the above mentioned publication, that were the outcome of running the R scripts. The shapefiles and figures are based on the mean temperature of the coldest and warmest quarter (bioclim 10 and bioclim 11) of -3 to +10/+18°C respectively, plus a restriction to the tropics based on bioclim 3, the ratio of diurnal variation to annual variation in temperatures, ranging from 50 to 300 °C/10., , # ClimateAnalyzer

ClimateAnalyzer is a set of script written in R to delimit areas based on bioclimatic variables.

The scripts have been developed to delimit tropical alpine areas based on bioclimatic variables from CHELSA (). The work has been presented in Kandziora et al (under review) \"The ghost of past climate acting on present-day plant diversity: lessons from a climate-based delimitation of the tropical alpine ecosystem\".

## Description of the data and file structure

The uploaded GIS shapefiles and figures are based on a delimitation based on the mean temperature of the coldest and warmest quarter (bioclim 10 and bioclim 11) of -3 to +10 °C, plus a restriction to the tropics based on bioclim 3, the ratio of diurnal variation to annual variation in temperatures, ranging from 50 to 300 °C/10.

The delimitation was done for current climatic conditions as well as two reconstructions of the climate during the last glacial maximum, based on MPI-M_MPI-ESM-P (abbreviated to MPI) and...