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Cited by 201

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Mammal diversity will take millions of years to recover from the current biodiversity crisis

Open access
Davis, Matt, Faurby, Søren, Svenning, Jens-Christian·2018·Proceedings of the National Academy of Sciences

Abstract

Significance: Biodiversity is more than the number of species on Earth. It is also the amount of unique evolutionary history in the tree of life. We find that losses of this phylogenetic diversity (PD) are disproportionally large in mammals compared with the number of species that have recently gone extinct. This lost PD can only be restored with time as lineages evolve and create new evolutionary history. Without coordinated conservation, it will likely take millions of years for mammals to naturally recover from the biodiversity losses they are predicted to endure over the next 50 y. However, by prioritizing PD in conservation, we could potentially save billions of years of unique evolutionary history and the important ecological functions they may represent.

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Crossref · 10.1073/pnas.1804906115

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Metadata

Authors
Davis, M., Faurby, S., & Svenning, J.-C.
Venue
Proceedings of the National Academy of Sciences
Published
2018-10-15
Volume
115
Issue
44
Pages
11262-11267
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2896367418
Cited by
201
References
3
FWCI
17.69
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Mammal diversity will take millions of years to recover from the current biodiversity crisis. https://app.cochat.ai/papers/10.1073/pnas.1804906115
The paper
Davis, M., Faurby, S., & Svenning, J.-C. (2018). Mammal diversity will take millions of years to recover from the current biodiversity crisis. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1804906115

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.