Version 1
: Received: 11 December 2019 / Approved: 12 December 2019 / Online: 12 December 2019 (12:43:13 CET)
How to cite:
Neaves, L. A Framework for Maximising the Capture of Genetic Diversity in Sampling for ex situ Conservation. Preprints2019, 2019120176. https://doi.org/10.20944/preprints201912.0176.v1
Neaves, L. A Framework for Maximising the Capture of Genetic Diversity in Sampling for ex situ Conservation. Preprints 2019, 2019120176. https://doi.org/10.20944/preprints201912.0176.v1
Neaves, L. A Framework for Maximising the Capture of Genetic Diversity in Sampling for ex situ Conservation. Preprints2019, 2019120176. https://doi.org/10.20944/preprints201912.0176.v1
APA Style
Neaves, L. (2019). A Framework for Maximising the Capture of Genetic Diversity in Sampling for <em>ex situ </em>Conservation. Preprints. https://doi.org/10.20944/preprints201912.0176.v1
Chicago/Turabian Style
Neaves, L. 2019 "A Framework for Maximising the Capture of Genetic Diversity in Sampling for <em>ex situ </em>Conservation" Preprints. https://doi.org/10.20944/preprints201912.0176.v1
Abstract
The rapid and extensive loss of biodiversity globally has resulted in an increased urgency to capture and conserve the diversity which is present, including genetic diversity within species. However, for many species there is currently no detailed genetic data available to inform the collection and use of material held in ex situ collections and this can hamper the consideration of genetic issues and reduce the likelihood collection represent the diversity present. Even in the absence of direct genetic data, however, it is possible to consider genetic issues using the existing theoretical and empirical evidence-based and biological, ecological and demographic data for a given species. Here a framework to facilitate the consideration of genetic diversity and genetic issues, even where genetic data is lacking, is presented.
Keywords
conservation; genetic diversity; decision-making; ex situ
Subject
Biology and Life Sciences, Ecology, Evolution, Behavior and Systematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
