Description
This dataset includes the original data and modelling results used to create the interactive platform Forest-forward.
These include; climatic variables (historical reanalysis ERA-5, and the future CMIP5 projections) derived from the Copernicus Climate Data Store that have been converted to 19 standard bioclimatic variables; species occurrence data for a limited number of tree species derived from GBIF; and, the results of ensemble Species Distribution Modelling (SDM) using historical and future bioclimatic variables as predictors, created using the R package biomod2 that have been assigned to a hexagonal grid for display. Code used for the full processing pipeline is available at GitHub.
Data files are organised by region; Indonesia (IDN), mainland Spain (ESP), and Sweden (SWE). Bioclimatic variables are GeoTIFF files grouped per region in zipped directories representing historical reanalysis (1980-2019) and future predictions (further divided into 10 y time-intervals between 2020 and 2090). SDM results (and resampled bioclimatic variables) are supplied as CSV files with WKT geometries ("<iso3>_zonal_spp_uuid.csv", and "<iso3>_zonal_bv_uuid.csv", respectively). Species occurrence point data is supplied as a single CSV file with WKT geometries ("all_spp_occurrence.csv"); the field 'iso3' can be used to filter by region. Summaries of the total proportion of area of a country with suitable habitat for each species, and the area weighted mean of each bioclimatic variable per country are supplied as CSV files ("<iso3>_spp_summary_stats.csv", and "<iso3>_bv_summary_stats.csv", respectively).
These include; climatic variables (historical reanalysis ERA-5, and the future CMIP5 projections) derived from the Copernicus Climate Data Store that have been converted to 19 standard bioclimatic variables; species occurrence data for a limited number of tree species derived from GBIF; and, the results of ensemble Species Distribution Modelling (SDM) using historical and future bioclimatic variables as predictors, created using the R package biomod2 that have been assigned to a hexagonal grid for display. Code used for the full processing pipeline is available at GitHub.
Data files are organised by region; Indonesia (IDN), mainland Spain (ESP), and Sweden (SWE). Bioclimatic variables are GeoTIFF files grouped per region in zipped directories representing historical reanalysis (1980-2019) and future predictions (further divided into 10 y time-intervals between 2020 and 2090). SDM results (and resampled bioclimatic variables) are supplied as CSV files with WKT geometries ("<iso3>_zonal_spp_uuid.csv", and "<iso3>_zonal_bv_uuid.csv", respectively). Species occurrence point data is supplied as a single CSV file with WKT geometries ("all_spp_occurrence.csv"); the field 'iso3' can be used to filter by region. Summaries of the total proportion of area of a country with suitable habitat for each species, and the area weighted mean of each bioclimatic variable per country are supplied as CSV files ("<iso3>_spp_summary_stats.csv", and "<iso3>_bv_summary_stats.csv", respectively).
| Date made available | 30 Oct 2020 |
|---|---|
| Publisher | Zenodo |