Journal article
Using genomics to design and evaluate the performance of underwater forest restoration
Journal of Applied Ecology, Vol.57(10), pp.1988-1998
2020
Abstract
Restoration is an emerging intervention to reverse the degradation and loss of marine habitat‐formers and the ecosystem services they underpin. Current best practice seeks to restore populations by transplanting donor individuals chosen to replicate genetic diversity and structure of extant, nearby populations. However, genetic characteristics are rarely empirically examined across generations, despite their potential role in influencing restoration success.
We used genomics to design a restoration program for lost underwater forests of Phyllospora comosa, a dominant forest‐forming macroalga that went locally extinct from reefs off Sydney, Australia. Population genetic diversity and structure of nearby extant populations informed choice of donor sites. We tested whether donor provenance influenced adult transplant survival, condition (via metrics of epibiosis) and the genetic characteristics of recruits at restoration sites.
Extant populations of Phyllospora within a 100‐km radius of Sydney comprised three distinct genetic clusters with similar levels of genetic diversity. We transplanted reproductive adults from two of these sites, with the aim of restoring five Phyllospora forests with levels of genetic structure and diversity similar to donor populations.
Donor provenance influenced survival and condition of transplanted adults and recruitment levels varied significantly among restoration sites. Yet, recruitment was rapid and genetic diversity and structure of the F1 generation resembled extant populations. This likely occurred because transplanted individuals reproduced synchronously and rapidly post‐transplantation, prior to mortality of adult donor transplants.
Synthesis and applications. As restoration and the need to ‘future‐proof’ marine ecosystems increase globally, it will be critical to understand and harness the role of donor provenance, genetic diversity and structure in restoration success. By incorporating ecological and genomic data into restoration design and assessment, this study demonstrates that evidence‐based selection of macroalgal donors can result in F1 generation recruits with similar levels of genetic diversity and structure as extant populations, despite an effect of provenance on transplant survival and condition. This study also highlights the need for ongoing refinement of transplantation techniques to ensure future recruitment success.
As restoration and the need to ‘future‐proof’ marine ecosystems increase globally, it will be critical to understand and harness the role of donor provenance, genetic diversity and structure in restoration success. By incorporating ecological and genomic data into restoration design and assessment, this study demonstrates that evidence‐based selection of macroalgal donors can result in F1 generation recruits with similar levels of genetic diversity and structure as extant populations, despite an effect of provenance on transplant survival and condition. This study also highlights the need for ongoing refinement of transplantation techniques to ensure future recruitment success.
Details
- Title
- Using genomics to design and evaluate the performance of underwater forest restoration
- Authors
- Georgina Wood (Corresponding Author) - The University of SydneyEzequiel M Marzinelli (Author) - Sydney Institute of Marine ScienceAdriana Vergés (Author) - UNSW AustraliaAlexandra H Campbell (Author) - University of the Sunshine Coast, Queensland, School of Health and Sport Sciences - LegacyPeter D Steinberg (Author) - Sydney Institute of Marine ScienceMelinda A Coleman (Author) - National Marine Science Centre
- Publication details
- Journal of Applied Ecology, Vol.57(10), pp.1988-1998; 11
- Publisher
- Wiley-Blackwell Publishing Ltd.
- Date published
- 2020
- DOI
- 10.1111/1365-2664.13707
- ISSN
- 1365-2664; 0021-8901
- Grants
- Grant note
- Ecological Society of Australia (RG172379)
- Organisation Unit
- School of Health - Biomedicine; School of Health and Sport Sciences - Legacy; School of Health and Behavioural Sciences - Legacy
- Language
- English
- Record Identifier
- 99482308702621
- Output Type
- Journal article
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