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  Threat of mining to African great apes

Junker, J., Quoss, L., Valdez, J., Arandjelovic, M., Barrie, A., Campbell, G., Heinicke, S., Humle, T., Kouakou, C. Y., Kühl, H. S., Ordaz-Németh, I., Pereira, H. M., Rainer, H., Refisch, J., Sonter, L., Sop, T. (2024): Threat of mining to African great apes. - Science Advances, 10, 14, eadl0335.
https://doi.org/10.1126/sciadv.adl0335

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 Creators:
Junker, Jessica1, Author
Quoss, Luise1, Author
Valdez, Jose1, Author
Arandjelovic, Mimi1, Author
Barrie, Abdulai1, Author
Campbell, Geneviève1, Author
Heinicke, Stefanie2, Author              
Humle, Tatyana1, Author
Kouakou, Célestin Y.1, Author
Kühl, Hjalmar S.1, Author
Ordaz-Németh, Isabel1, Author
Pereira, Henrique M.1, Author
Rainer, Helga1, Author
Refisch, Johannes1, Author
Sonter, Laura1, Author
Sop, Tenekwetche1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The rapid growth of clean energy technologies is driving a rising demand for critical minerals. In 2022 at the 15th Conference of the Parties to the Convention on Biological Diversity (COP15), seven major economies formed an alliance to enhance the sustainability of mining these essential decarbonization minerals. However, there is a scarcity of studies assessing the threat of mining to global biodiversity. By integrating a global mining dataset with great ape density distribution, we estimated the number of African great apes that spatially coincided with industrial mining projects. We show that up to one-third of Africa’s great ape population faces mining-related risks. In West Africa in particular, numerous mining areas overlap with fragmented ape habitats, often in high-density ape regions. For 97% of mining areas, no ape survey data are available, underscoring the importance of increased accessibility to environmental data within the mining sector to facilitate research into the complex interactions between mining, climate, biodiversity, and sustainability.

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Language(s): eng - English
 Dates: 2023-09-282024-03-012024-04-032024-04-03
 Publication Status: Finally published
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1126/sciadv.adl0335
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD3 - Transformation Pathways
Working Group: Data-Centric Modeling of Cross-Sectoral Impacts
OATYPE: Gold Open Access
MDB-ID: No data to archive
Model / method: Quantitative Methods
Regional keyword: Africa
Research topic keyword: Biodiversity
Research topic keyword: Sustainable Development
Research topic keyword: Ecosystems
Research topic keyword: Economics
 Degree: -

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Title: Science Advances
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 10 (14) Sequence Number: eadl0335 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/161027
Publisher: American Association for the Advancement of Science (AAAS)