Skip to content

Data Portal

Explore and download the Museum’s research and collections data.

The Biodiversity Intactness Index - country, region and global-level summaries for the year 1970 to 2050 under various scenarios

Using the PREDICTS database of local biodiversity measures at thousands of sites around the world, we statistically modelled how total abundance of organisms and compositional similarity responded to land use and related pressures. We combined these models with spatio-temporal projections of explanatory variables (at 0.25 degrees spatial resolution) from the year 1970 to 2050 under five Shared Socioeconomic Pathways (SSPs) to project the Biodiversity Intactness Index (BII). Mean BII (weighted by cell area) was calculated at the country, subregion, interregion and global level. We used cross-validation (leaving one biome out in turn) to produce decadal upper and lower uncertainty margins for 1970-2050. These summary data were uploaded to the Natural History Museum's Biodiversity Trends Explorer on 2021-10-27. We have also provided mean values of some of the pressures, as changes in these contribute to changes in BII.

Superseded by: none (current version)

Data and Resources

Cite this as

Helen Phillips; Adriana De Palma; Ricardo E Gonzalez; Sara Contu et al. (2021). The Biodiversity Intactness Index - country, region and global-level summaries for the year 1970 to 2050 under various scenarios [Data set]. Natural History Museum. https://doi.org/10.5519/he1eqmg1
Retrieved: 21:15 15 Oct 2024 (UTC) BibTeX

Additional Info

Field Value
Maintainer Biodiversity Futures Explorer
Primary contributors
Phillips, Helen ( 0000-0002-7435-5934);
De Palma, Adriana ( 0000-0002-5345-4917);
Gonzalez, Ricardo E;
Contu, Sara ( 0000-0002-9070-1091);
Hill, Samantha L L;
Baselga, Andrés ( 0000-0001-7914-7109);
Borger, Luca ( 0000-0001-8763-5997);
Purvis, Andy ( 0000-0002-8609-6204)
Other contributors
Temporal extent 1970-2050
Last updated 28 October 2021
Last resource update 28 October 2021 (long_data.rds)
Created 4 October 2021
License Creative Commons Non-Commercial (Any)