Abstract
Here we present “Restore and Renew,” a replicable framework for gathering and interpreting evolutionary, ecological, and genomic data in support of restoration practices. In an era of rapid climatic change and continuous widespread clearing, revegetation projects need to focus on producing resilient and long-term self-sustaining populations. Restore and Renew expands current knowledge of genetic provenance via genome-scan data, environmental niche modeling (ENM), and site-specific climate information. The sampling strategy is to obtain leaf tissue representing the distributions of over 100 species commonly used in restoration. We apply generalized dissimilarity modeling to genome-wide single nucleotide polymorphism datasets from hundreds of samples. Species-specific local provenances are obtained using a model that represents observed patterns of genetic variation across the landscape. Climate modeling is implemented to interpret genetic provenance boundaries in the context of current and future climatic conditions at the specified site. Results are presented in an easy-to-use webtool (www.restore-and-renew.org.au), where the user simply selects their site of interest and a target species to obtain the size and distribution of local genetic provenance. Although Restore and Renew is not prescriptive, it allows restoration practitioners to make informed decisions on where to source material from, to fulfill their restoration scenario of choice. Two examples, Westringia fruticosa and Acacia suaveolens, are presented to demonstrate how the analytical pipeline responds to different ecological and evolutionary patterns. The webtool has multiple applications for biodiversity management and will continue to evolve with new species and analytical/interpretative outputs.
| Original language | English |
|---|---|
| Pages (from-to) | 538-548 |
| Number of pages | 11 |
| Journal | Restoration Ecology |
| Volume | 27 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 May 2019 |
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Restore and Renew : a genomics-era framework for species provenance delimitation. / Rossetto, Maurizio; Bragg, Jason; Kilian, Andrzej; McPherson, Hannah; van der Merwe, Marlien; Wilson, Peter D.
In: Restoration Ecology, Vol. 27, No. 3, 01.05.2019, p. 538-548.Research output: Contribution to journal › Article
TY - JOUR
T1 - Restore and Renew
T2 - a genomics-era framework for species provenance delimitation
AU - Rossetto, Maurizio
AU - Bragg, Jason
AU - Kilian, Andrzej
AU - McPherson, Hannah
AU - van der Merwe, Marlien
AU - Wilson, Peter D.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Here we present “Restore and Renew,” a replicable framework for gathering and interpreting evolutionary, ecological, and genomic data in support of restoration practices. In an era of rapid climatic change and continuous widespread clearing, revegetation projects need to focus on producing resilient and long-term self-sustaining populations. Restore and Renew expands current knowledge of genetic provenance via genome-scan data, environmental niche modeling (ENM), and site-specific climate information. The sampling strategy is to obtain leaf tissue representing the distributions of over 100 species commonly used in restoration. We apply generalized dissimilarity modeling to genome-wide single nucleotide polymorphism datasets from hundreds of samples. Species-specific local provenances are obtained using a model that represents observed patterns of genetic variation across the landscape. Climate modeling is implemented to interpret genetic provenance boundaries in the context of current and future climatic conditions at the specified site. Results are presented in an easy-to-use webtool (www.restore-and-renew.org.au), where the user simply selects their site of interest and a target species to obtain the size and distribution of local genetic provenance. Although Restore and Renew is not prescriptive, it allows restoration practitioners to make informed decisions on where to source material from, to fulfill their restoration scenario of choice. Two examples, Westringia fruticosa and Acacia suaveolens, are presented to demonstrate how the analytical pipeline responds to different ecological and evolutionary patterns. The webtool has multiple applications for biodiversity management and will continue to evolve with new species and analytical/interpretative outputs.
AB - Here we present “Restore and Renew,” a replicable framework for gathering and interpreting evolutionary, ecological, and genomic data in support of restoration practices. In an era of rapid climatic change and continuous widespread clearing, revegetation projects need to focus on producing resilient and long-term self-sustaining populations. Restore and Renew expands current knowledge of genetic provenance via genome-scan data, environmental niche modeling (ENM), and site-specific climate information. The sampling strategy is to obtain leaf tissue representing the distributions of over 100 species commonly used in restoration. We apply generalized dissimilarity modeling to genome-wide single nucleotide polymorphism datasets from hundreds of samples. Species-specific local provenances are obtained using a model that represents observed patterns of genetic variation across the landscape. Climate modeling is implemented to interpret genetic provenance boundaries in the context of current and future climatic conditions at the specified site. Results are presented in an easy-to-use webtool (www.restore-and-renew.org.au), where the user simply selects their site of interest and a target species to obtain the size and distribution of local genetic provenance. Although Restore and Renew is not prescriptive, it allows restoration practitioners to make informed decisions on where to source material from, to fulfill their restoration scenario of choice. Two examples, Westringia fruticosa and Acacia suaveolens, are presented to demonstrate how the analytical pipeline responds to different ecological and evolutionary patterns. The webtool has multiple applications for biodiversity management and will continue to evolve with new species and analytical/interpretative outputs.
KW - ecological restoration
KW - genetic provenance
KW - Restore and Renew
KW - single-nucleotide polymorphisms
KW - webtool
UR - http://www.scopus.com/inward/record.url?scp=85057122294&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/restore-renew-genomicsera-framework-species-provenance-delimitation
U2 - 10.1111/rec.12898
DO - 10.1111/rec.12898
M3 - Article
VL - 27
SP - 538
EP - 548
JO - Restoration Ecology
JF - Restoration Ecology
SN - 1061-2971
IS - 3
ER -