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Using conservation genetics to prioritise management options for an endangered songbird

Genetic data can be highly informative for answering questions relevant to practical conservation efforts, but remain one of the most neglected aspects of species recovery plans. Framing genetic questions with reference to practical and tractable conservation objectives can help bypass this limitati...

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Autores principales: Alves, Fernanda, Banks, Sam C., Edworthy, Max, Stojanovic, Dejan, Langmore, Naomi E., Heinsohn, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162965/
https://www.ncbi.nlm.nih.gov/pubmed/37016134
http://dx.doi.org/10.1038/s41437-023-00609-6
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author Alves, Fernanda
Banks, Sam C.
Edworthy, Max
Stojanovic, Dejan
Langmore, Naomi E.
Heinsohn, Robert
author_facet Alves, Fernanda
Banks, Sam C.
Edworthy, Max
Stojanovic, Dejan
Langmore, Naomi E.
Heinsohn, Robert
author_sort Alves, Fernanda
collection PubMed
description Genetic data can be highly informative for answering questions relevant to practical conservation efforts, but remain one of the most neglected aspects of species recovery plans. Framing genetic questions with reference to practical and tractable conservation objectives can help bypass this limitation of the application of genetics in conservation. Using a single-nucleotide polymorphism dataset from reduced-representation sequencing (DArTSeq), we conducted a genetic assessment of remnant populations of the endangered forty-spotted pardalote (Pardalotus quadragintus), a songbird endemic to Tasmania, Australia. Our objectives were to inform strategies for the conservation of genetic diversity in the species and estimate effective population sizes and patterns of inter-population movement to identify management units relevant to population conservation and habitat restoration. We show population genetic structure and identify two small populations on mainland Tasmania as ‘satellites’ of larger Bruny Island populations connected by migration. Our data identify management units for conservation objectives relating to genetic diversity and habitat restoration. Although our results do not indicate the immediate need to genetically manage populations, the small effective population sizes we estimated for some populations indicate that they are vulnerable to genetic drift, highlighting the urgent need to implement habitat restoration to increase population size and to conduct genetic monitoring. We discuss how our genetic assessment can be used to inform management interventions for the forty-spotted pardalote and show that by assessing contemporary genetic aspects, valuable information for conservation planning and decision-making can be produced to guide actions that account for genetic diversity and increase chances of recovery in species of conservation concern.
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spelling pubmed-101629652023-05-07 Using conservation genetics to prioritise management options for an endangered songbird Alves, Fernanda Banks, Sam C. Edworthy, Max Stojanovic, Dejan Langmore, Naomi E. Heinsohn, Robert Heredity (Edinb) Article Genetic data can be highly informative for answering questions relevant to practical conservation efforts, but remain one of the most neglected aspects of species recovery plans. Framing genetic questions with reference to practical and tractable conservation objectives can help bypass this limitation of the application of genetics in conservation. Using a single-nucleotide polymorphism dataset from reduced-representation sequencing (DArTSeq), we conducted a genetic assessment of remnant populations of the endangered forty-spotted pardalote (Pardalotus quadragintus), a songbird endemic to Tasmania, Australia. Our objectives were to inform strategies for the conservation of genetic diversity in the species and estimate effective population sizes and patterns of inter-population movement to identify management units relevant to population conservation and habitat restoration. We show population genetic structure and identify two small populations on mainland Tasmania as ‘satellites’ of larger Bruny Island populations connected by migration. Our data identify management units for conservation objectives relating to genetic diversity and habitat restoration. Although our results do not indicate the immediate need to genetically manage populations, the small effective population sizes we estimated for some populations indicate that they are vulnerable to genetic drift, highlighting the urgent need to implement habitat restoration to increase population size and to conduct genetic monitoring. We discuss how our genetic assessment can be used to inform management interventions for the forty-spotted pardalote and show that by assessing contemporary genetic aspects, valuable information for conservation planning and decision-making can be produced to guide actions that account for genetic diversity and increase chances of recovery in species of conservation concern. Springer International Publishing 2023-04-05 2023-05 /pmc/articles/PMC10162965/ /pubmed/37016134 http://dx.doi.org/10.1038/s41437-023-00609-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Alves, Fernanda
Banks, Sam C.
Edworthy, Max
Stojanovic, Dejan
Langmore, Naomi E.
Heinsohn, Robert
Using conservation genetics to prioritise management options for an endangered songbird
title Using conservation genetics to prioritise management options for an endangered songbird
title_full Using conservation genetics to prioritise management options for an endangered songbird
title_fullStr Using conservation genetics to prioritise management options for an endangered songbird
title_full_unstemmed Using conservation genetics to prioritise management options for an endangered songbird
title_short Using conservation genetics to prioritise management options for an endangered songbird
title_sort using conservation genetics to prioritise management options for an endangered songbird
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162965/
https://www.ncbi.nlm.nih.gov/pubmed/37016134
http://dx.doi.org/10.1038/s41437-023-00609-6
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