Improving species conservation plans under IUCN’s One Plan Approach using quantitative genetic methods
Human activities are resulting in altered environmental conditions that are impacting the demography and evolution of species globally. If we wish to prevent anthropogenic extinction and extirpation, we need to improve our ability to restore wild populations. Ex situ populations can be an important...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Peer Community In
2022-08-01
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| Series: | Peer Community Journal |
| Online Access: | https://peercommunityjournal.org/articles/10.24072/pcjournal.163/ |
| _version_ | 1797651181230620672 |
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| author | Sauve, Drew Hudecki, Jane Steiner, Jessica Wheeler, Hazel Lynch, Colleen Chabot, Amy A. |
| author_facet | Sauve, Drew Hudecki, Jane Steiner, Jessica Wheeler, Hazel Lynch, Colleen Chabot, Amy A. |
| author_sort | Sauve, Drew |
| collection | DOAJ |
| description | Human activities are resulting in altered environmental conditions that are impacting the demography and evolution of species globally. If we wish to prevent anthropogenic extinction and extirpation, we need to improve our ability to restore wild populations. Ex situ populations can be an important tool for species conservation. However, it is difficult to prevent deviations from an optimal breeding design and altered environments in captivity seem likely to lead to evolutionary or plasticity-induced phenotypic change that could make reintroduction more difficult. Quantitative genetic analysis can help disentangle the causes of phenotypic change in ex situ populations. Consequently, quantitative genetics can improve the management of these populations and the success of in situ population management actions that they support. In this review we outline methods that could be used to improve the management of in situ and ex situ populations in a One Plan Approach. We discuss how quantitative genetic models can help measure genetic variation, phenotypic plasticity, and social effects on phenotypes. Finally, we discuss how phenotypic change can be predicted using measurements of additive genetic variance and selection. While previous work has highlighted the value of ex situ populations for the field of quantitative genetics, we argue that quantitative genetics can, in turn, offer opportunities to improve management and consequently conservation of populations of species at risk. We show that quantitative genetic analyses are a tool that could be incorporated into and improve ex situ management practices. |
| first_indexed | 2024-03-11T16:11:10Z |
| format | Article |
| id | doaj.art-671d459cf8684d5ca68151881d66aa42 |
| institution | Directory Open Access Journal |
| issn | 2804-3871 |
| language | English |
| last_indexed | 2024-03-11T16:11:10Z |
| publishDate | 2022-08-01 |
| publisher | Peer Community In |
| record_format | Article |
| series | Peer Community Journal |
| spelling | doaj.art-671d459cf8684d5ca68151881d66aa422023-10-24T14:38:35ZengPeer Community InPeer Community Journal2804-38712022-08-01210.24072/pcjournal.16310.24072/pcjournal.163Improving species conservation plans under IUCN’s One Plan Approach using quantitative genetic methodsSauve, Drew0https://orcid.org/0000-0002-6318-3719Hudecki, Jane1Steiner, Jessica2Wheeler, Hazel3Lynch, Colleen4https://orcid.org/0000-0001-5384-1530Chabot, Amy A.5Department of Biology, Queen's University, Kingston, Ontario K7L 3N6, CanadaWildlife Preservation Canada, 5420 Highway 6 North, Guelph, Ontario N1H 6J2, CanadaWildlife Preservation Canada, 5420 Highway 6 North, Guelph, Ontario N1H 6J2, CanadaWildlife Preservation Canada, 5420 Highway 6 North, Guelph, Ontario N1H 6J2, CanadaRiverbanks Zoo and Garden, 500 Wildlife Parkway, Columbia, South Carolina, USAAfrican Lion Safari, 1386 Cooper Road, Cambridge, Ontario N1R 5S2, CanadaHuman activities are resulting in altered environmental conditions that are impacting the demography and evolution of species globally. If we wish to prevent anthropogenic extinction and extirpation, we need to improve our ability to restore wild populations. Ex situ populations can be an important tool for species conservation. However, it is difficult to prevent deviations from an optimal breeding design and altered environments in captivity seem likely to lead to evolutionary or plasticity-induced phenotypic change that could make reintroduction more difficult. Quantitative genetic analysis can help disentangle the causes of phenotypic change in ex situ populations. Consequently, quantitative genetics can improve the management of these populations and the success of in situ population management actions that they support. In this review we outline methods that could be used to improve the management of in situ and ex situ populations in a One Plan Approach. We discuss how quantitative genetic models can help measure genetic variation, phenotypic plasticity, and social effects on phenotypes. Finally, we discuss how phenotypic change can be predicted using measurements of additive genetic variance and selection. While previous work has highlighted the value of ex situ populations for the field of quantitative genetics, we argue that quantitative genetics can, in turn, offer opportunities to improve management and consequently conservation of populations of species at risk. We show that quantitative genetic analyses are a tool that could be incorporated into and improve ex situ management practices.https://peercommunityjournal.org/articles/10.24072/pcjournal.163/ |
| spellingShingle | Sauve, Drew Hudecki, Jane Steiner, Jessica Wheeler, Hazel Lynch, Colleen Chabot, Amy A. Improving species conservation plans under IUCN’s One Plan Approach using quantitative genetic methods Peer Community Journal |
| title | Improving species conservation plans under IUCN’s One Plan Approach using quantitative genetic methods |
| title_full | Improving species conservation plans under IUCN’s One Plan Approach using quantitative genetic methods |
| title_fullStr | Improving species conservation plans under IUCN’s One Plan Approach using quantitative genetic methods |
| title_full_unstemmed | Improving species conservation plans under IUCN’s One Plan Approach using quantitative genetic methods |
| title_short | Improving species conservation plans under IUCN’s One Plan Approach using quantitative genetic methods |
| title_sort | improving species conservation plans under iucn s one plan approach using quantitative genetic methods |
| url | https://peercommunityjournal.org/articles/10.24072/pcjournal.163/ |
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