Methodology
‘Biogeographic modelling Infrastructure for Large-scaled Biodiversity Indicators’ (BILBI) integrates advances in macroecological modelling, informatics, remote sensing and high-performance computing to assess spatio-temporal change in collective properties of biodiversity, particularly beta diversity, at ~1 km grid resolution across the entire terrestrial surface of the planet.
Data description
Species occurrence data to calculate compositional turnover where obtained from the GBIF, there are three biological groups - vascular plants, invertebrates and vertebrates. For the three broad biological groups, data was filtered and partitioned into taxonomic sub groups, after this all subgroups were assigned to individual 30 arcsecond resolution grid-cells. The final covariate set used for modelling contained four descriptors of soil properties, two of terrain and eight climate variables. This set included five soil variables (bare ground, bulk density, clay, pH, silt), two terrain variables (topographic roughness index, topographic wetness index) and eight climate variables (annual precipitation, annual minimum temperature, annual maximum temperature, maximum monthly diurnal temperature range, annual actual evaporation, potential evaporation of driest month, maximum and minimum monthly water deficit)
Indicator
Number of visits
Method / tool
Toolkit for Ecosystem Service SiteBased Assessment (TESSA)