Life history, climate and biogeography interactively affect worldwide genetic diversity of plant and animal populations
H. De Kort (),
J. G. Prunier,
S. Ducatez,
O. Honnay,
M. Baguette,
V. M. Stevens and
S. Blanchet
Additional contact information
H. De Kort: University of Leuven
J. G. Prunier: Centre National de la Recherche Scientifique, SETE Station d’Ecologie Théorique et Expérimentale, UMR 5321
S. Ducatez: University of Cambridge
O. Honnay: University of Leuven
M. Baguette: Centre National de la Recherche Scientifique, SETE Station d’Ecologie Théorique et Expérimentale, UMR 5321
V. M. Stevens: Centre National de la Recherche Scientifique, SETE Station d’Ecologie Théorique et Expérimentale, UMR 5321
S. Blanchet: Centre National de la Recherche Scientifique, SETE Station d’Ecologie Théorique et Expérimentale, UMR 5321
Nature Communications, 2021, vol. 12, issue 1, 1-11
Abstract:
Abstract Understanding how biological and environmental factors interactively shape the global distribution of plant and animal genetic diversity is fundamental to biodiversity conservation. Genetic diversity measured in local populations (GDP) is correspondingly assumed representative for population fitness and eco-evolutionary dynamics. For 8356 populations across the globe, we report that plants systematically display much lower GDP than animals, and that life history traits shape GDP patterns both directly (animal longevity and size), and indirectly by mediating core-periphery patterns (animal fecundity and plant dispersal). Particularly in some plant groups, peripheral populations can sustain similar GDP as core populations, emphasizing their potential conservation value. We further find surprisingly weak support for general latitudinal GDP trends. Finally, contemporary rather than past climate contributes to the spatial distribution of GDP, suggesting that contemporary environmental changes affect global patterns of GDP. Our findings generate new perspectives for the conservation of genetic resources at worldwide and taxonomic-wide scales.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.nature.com/articles/s41467-021-20958-2 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-20958-2
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-021-20958-2
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().