A place-based assessment of biodiversity intactness in sub-Saharan Africa
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Nature Research
Abstract
Maintaining biodiversity is central to the sustainable development agenda. However, a lack of context-specific biodiversity information at policy-relevant scales has posed major limitations to decision-makers. To address this challenge, we undertook a comprehensive assessment of the biodiversity intactness of sub-Saharan Africa using place-based knowledge of 200 African biodiversity experts. We estimate that the region has on average lost 24% of its pre-colonial and pre-industrial faunal and floral population abundances, ranging from losses of <20% for disturbance-adapted herbaceous plants to 80% for some large mammals. Rwanda and Nigeria are the least intact (<55%), whereas Namibia and Botswana are the most intact (>85%). Notably, most remaining organisms occur in unprotected, relatively untransformed rangelands and natural forests. Losses in biodiversity intactness in the worst-affected biomes are driven by land transformation into cropland in grasslands and fynbos (Mediterranean-type ecosystems), by non-agricultural degradation in forests and by a combination of the two drivers in savannas. This assessment provides decision-makers with multifaceted, contextually appropriate and policy-relevant information on the state of biodiversity in an understudied region of the world. Our approach could be used in other regions, including better-studied localities, to integrate contextual, place-based knowledge into multiscale assessments of biodiversity status and impacts.
Description
DATA AVAILABILITY : The expert-elicited bii4africa dataset used in this study is available on Figshare (https://doi.org/10.6084/m9.figshare.c.6710463.v1). Input data on species range maps and threat categories are available through the IUCN Red List (https://www.iucnredlist.org/) and Birdlife International (http://datazone.birdlife.org/species/requestdis). Input data on ecoregions are available through Ecoregions2017 Resolve (https://ecoregions.appspot.com/). Input data on plant forms in the RAINBIO65 dataset are available on GitHub (https://gdauby.github.io/rainbio/). Previous BII assessments to which we compared our assessment are available from the Natural History Museum for ref. 13 (https://data.nhm.ac.uk/dataset/global-map-of-the-biodiversity-intactness-index-from-newbold-et-al-2016-science), and from Oonsie Biggs for the Scholes and Biggs4 map. The land-use and BII maps generated during this study are available on Figshare (https://doi.org/10.6084/m9.figshare.29773169.v1), and can be visualized and downloaded on a Google Earth Engine App (https://geethensingh.users.earthengine.app/view/bii). Source data are provided with this paper.
CODE AVAILABILITY : The land-use mapping code is available on GitHub and Zenodo (https://doi.org/10.5281/zenodo.17597480), and the R scripts and data for mapping the BII and for producing plots (Fig. 3b,c and Extended Data Figs. 2, 4 and 6e) are available on Figshare (https://doi.org/10.6084/m9.figshare.29773169.v1).
Keywords
Biodiversity, Conservation biology, Developing world, Ecosystem ecology
Sustainable Development Goals
SDG-15: Life on land
Citation
Clements, H.S., Biggs, R., De Vos, A. et al. A place-based assessment of biodiversity intactness in sub-Saharan Africa. Nature 649, 113–121 (2026). https://doi.org/10.1038/s41586-025-09781-7.
