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http://hdl.handle.net/1893/38131| Appears in Collections: | Biological and Environmental Sciences Journal Articles |
| Peer Review Status: | Refereed |
| Title: | Increase in wild animal consumption across Central Africa |
| Author(s): | Bessone, Mattia Ingram, Daniel J Abernethy, Katharine Abua, Sylvanus Allebone-Webb, Sophie Antonacci, Daniela Kim, Riyong Brittain, Stephanie Cornelis, Daniel Detoeuf, Diane Emogor, Charles A Fa, Julia E Foerster, Steffen Fonteyn, Davy Grande Vega, Maria |
| Contact Email: | k.a.abernethy@stir.ac.uk |
| Issue Date: | 28-May-2026 |
| Date Deposited: | 7-May-2026 |
| Citation: | Bessone M, Ingram DJ, Abernethy K, Abua S, Allebone-Webb S, Antonacci D, Kim R, Brittain S, Cornelis D, Detoeuf D, Emogor CA, Fa JE, Foerster S, Fonteyn D & Grande Vega M (2026) Increase in wild animal consumption across Central Africa. <i>Nature</i>, 653, p. 1092–1098. https://doi.org/10.1038/s41586-026-10422-w |
| Abstract: | While human activities are driving widespread declines in wildlife populations1,2, in Central Africa, the meat of wild animals, or wild meat, represents a major component of the diets of millions of people3. To halt faunal degradation while ensuring sustainable use of wildlife, it is crucial to understand the scale and drivers of wild meat consumption. Here, using data from over 12,000 households from 252 locations in Central Africa, we show that wild meat is a fundamental component of the diets of rural populations, accounting for 20% of the recommended daily protein intake, compared with 13% and 6% for those living in towns and cities. We estimate that the total annual biomass of wild meat consumed in Central Africa increased from 0.73 million to 1.10 million tonnes between 2000 and 2022, with increasing demand from towns and cities. To ensure that wild meat is available to rural communities, in accordance with the Sustainable Development Goals4 and the Kunming–Montreal Global Biodiversity Framework5, reducing wild meat consumption in urban metropolises is key. While our results are based on the most comprehensive dataset available, the geographical coverage is incomplete and the dataset represents a minimal fraction of the entire population of Central Africa. Targeted studies are needed to validate our model and assess critical areas of intervention. |
| DOI Link: | 10.1038/s41586-026-10422-w |
| Rights: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Notes: | Additional authors: Chloe Hodgkinson, Amy Ickowitz, Cédric Thibaut Kamogne Tagne, Della Kemalasari, Noëlle Kümpel, Simon Lhoest, Germain Mavah, Rodrigue Guy Mouanda Niamba, Donald Midoko Iponga,Lauren Coad |
| Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s41586-026-10422-w.pdf | Fulltext - Published Version | 8.77 MB | Adobe PDF | View/Open |
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