Nielsen, ES, Beger, M, Henriques, R et al. (1 more author) (2020) A comparison of genetic and genomic approaches to represent evolutionary potential in conservation planning. Biological Conservation, 251. 108770. ISSN 0006-3207
Abstract
Emerging global change stressors have underlined the importance of informing conservation decisions with molecular diversity, particularly including intraspecific adaptive or evolutionary potential across species and populations. Population-level evolutionary potential is best captured by genomic approaches, yet these data types mostly remain limited to model organisms. In contrast, traditional genetic data are broadly available. The relevance of genomic metrics, and how they differ from genetic metrics in the context of spatial conservation practices, remains unknown. This provides an opportunity to consider the relative contribution and impact of genomic compared to genetic metrics in their efficiency of selecting conservation areas of evolutionary importance. Here, we provide a guideline to include metrics of genetic and genomic variation into spatial planning analyses for multiple conservation objectives, and empirically explore how spatial prioritizations change when including different types of molecular information across multiple species. Specifically, we compare conservation solutions of scenarios including either an increase in molecular information (i.e. either a single locus; mtDNA, or several thousand loci; SNPs), or an increase in species included. We find that including less molecular information from many species leads to similar outcomes to including more molecular information from fewer species. Our work suggests that multi-species genetic data may be a cost- and time-effective surrogate for genomic data in spatial planning.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020, Elsevier. All rights reserved. This is an author produced version of an article published in Biological Conservation. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Evolutionary potential; Spatial conservation planning; Conservation genomics; Genetic diversity; Marxan; Surrogacy |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Sep 2020 11:15 |
Last Modified: | 10 Sep 2021 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.biocon.2020.108770 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165639 |