Conservation genetics as a management tool: The five best-supported paradigms to assist the management of threatened species
Open accessAbstract
About 50 y ago, Crow and Kimura [ An Introduction to Population Genetics Theory (1970)] and Ohta and Kimura [ Genet. Res. 22, 201–204 (1973)] laid the foundations of conservation genetics by predicting the relationship between population size and genetic marker diversity. This work sparked an enormous research effort investigating the importance of population dynamics, in particular small population size, for population mean performance, population viability, and evolutionary potential. In light of a recent perspective [J. C. Teixeira, C. D. Huber, Proc. Natl. Acad. Sci. U.S.A. 118, 10 (2021)] that challenges some fundamental assumptions in conservation genetics, it is timely to summarize what the field has achieved, what robust patterns have emerged, and worthwhile future research directions. We consider theory and methodological breakthroughs that have helped management, and we outline some fundamental and applied challenges for conservation genetics.
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Arctic conservation management can be complex with intersecting and conflicting environmental, cultural and socioeconomic issues.
“Arctic conservation management can be complex with intersecting and at times conflicting environmental, cultural and socioeconomic issues90,168,169.”
From Chromosomal-level reference genome assembly of muskox (Ovibos moschatus) from Banks Island in the Canadian Arctic, a resource for conservation genomics (2024) · cites this paper as [168]
The Applied Conservation Genetics section discusses government policy and genetic data in conservation planning, while the Conclusions discuss environmental threats to species. Neither addresses Arctic management or intersecting and conflicting cultural and socioeconomic issues; searches for those terms found no supporting passage in our copy. (LLM, conf=0.76)
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“Arctic conservation management can be complex with intersecting and at times conflicting environmental, cultural and socioeconomic issues 90,168,169 .”
Background
- Authors
- Willi, Y., Kristensen, T. N., Sgrò, C. M., Weeks, A. R., Ørsted, M., & Hoffmann, A. A.
- Affiliations
- University of Basel (CH)
- Aalborg University (DK)
- Monash University (AU)
- The University of Melbourne (AU)
- Aarhus University (DK)
- Corresponding author
- Hoffmann, Ary A.
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2021-12-20
- Volume
- 119
- Issue
- 1
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC8740573
- OpenAlex
- W4200598530
- Cited by
- 281
- References
- 100
- Citations by year
- 2026: 56 · 2025: 73 · 2024: 71 · 2023: 60 · 2022: 21
- FWCI
- 21.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- edoc (University of Basel) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc-nd)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion, cc-by-nc-nd)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Keywords
- conservation genetics, threatened species management, small population size, population viability, adaptive potential, population dynamics, population genetics theory
- MeSH terms
- Animals, Conservation of Natural Resources, Biological Evolution, Genetic Markers, Genetics, Population, Population Density, Population Dynamics, Genetic Variation, Genetic Load, Gene Flow, Endangered Species
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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