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Data from: Time to get moving: assisted gene flow of forest trees Aitken, Sally N.; Bemmels, Jordan B.
Description
<b>Abstract</b><br/>Geographic variation in trees has been investigated since the mid-18th century. Similar patterns of clinal variation have been observed along latitudinal and elevational gradients in common garden experiments for many temperate and boreal species. These studies convinced forest managers that a ‘local is best’ seed source policy was usually safest for reforestation. In recent decades, experimental design, phenotyping methods, climatic data and statistical analyses have improved greatly and refined but not radically changed knowledge of clines. The maintenance of local adaptation despite high gene flow suggests selection for local adaptation to climate is strong. Concerns over maladaptation resulting from climate change have motivated many new genecological and population genomics studies; however, few jurisdictions have implemented assisted gene flow (AGF), the translocation of pre-adapted individuals to facilitate adaptation of planted forests to climate change. Here, we provide evidence that temperate tree species show clines along climatic gradients sufficiently similar for average patterns or climate models to guide AGF in the absence of species-specific knowledge. Composite provenancing of multiple seed sources can be used to increase diversity and buffer against future climate uncertainty. New knowledge will continue to refine and improve AGF as climates warm further.; <b>Usage notes</b><br /><div class="o-metadata__file-usage-entry"><h4 class="o-heading__level3-file-title">Population mean phenotypes for 19 conifer species compiled from 23 previous studies</h4><div class="o-metadata__file-description">This Excel file contains one sheet of metadata, and 23 spreadsheets of phenotypic data. Each spreadsheet of data includes results from one study for one species from one common garden. Data provided includes unique codes to identify each population, the latitude, longitude, elevation, mean annual temperature (C), and mean summer precipitation (in units of 100 mm), the number of families within population that were tested, and the total number of individuals that were tested. Phenotypic traits include height growth in varying units (see associated publication), the timing of spring phenological events in days relative to a reference date, and the timing of fall phenological events relative to a reference date.</div><div class="o-metadata__file-name">Aitken and Bemmels 2016 Dryad dataset.xlsx</br></div></div>
Item Metadata
| Title |
Data from: Time to get moving: assisted gene flow of forest trees
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| Creator | |
| Date Issued |
2021-05-19
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| Description |
<b>Abstract</b><br/>Geographic variation in trees has been investigated since the mid-18th century. Similar patterns of clinal variation have been observed along latitudinal and elevational gradients in common garden experiments for many temperate and boreal species. These studies convinced forest managers that a ‘local is best’ seed source policy was usually safest for reforestation. In recent decades, experimental design, phenotyping methods, climatic data and statistical analyses have improved greatly and refined but not radically changed knowledge of clines. The maintenance of local adaptation despite high gene flow suggests selection for local adaptation to climate is strong. Concerns over maladaptation resulting from climate change have motivated many new genecological and population genomics studies; however, few jurisdictions have implemented assisted gene flow (AGF), the translocation of pre-adapted individuals to facilitate adaptation of planted forests to climate change. Here, we provide evidence that temperate tree species show clines along climatic gradients sufficiently similar for average patterns or climate models to guide AGF in the absence of species-specific knowledge. Composite provenancing of multiple seed sources can be used to increase diversity and buffer against future climate uncertainty. New knowledge will continue to refine and improve AGF as climates warm further.; <b>Usage notes</b><br /><div class="o-metadata__file-usage-entry"><h4 class="o-heading__level3-file-title">Population mean phenotypes for 19 conifer species compiled from 23 previous studies</h4><div class="o-metadata__file-description">This Excel file contains one sheet of metadata, and 23 spreadsheets of phenotypic data. Each spreadsheet of data includes results from one study for one species from one common garden. Data provided includes unique codes to identify each population, the latitude, longitude, elevation, mean annual temperature (C), and mean summer precipitation (in units of 100 mm), the number of families within population that were tested, and the total number of individuals that were tested. Phenotypic traits include height growth in varying units (see associated publication), the timing of spring phenological events in days relative to a reference date, and the timing of fall phenological events relative to a reference date.</div><div class="o-metadata__file-name">Aitken and Bemmels 2016 Dryad dataset.xlsx</br></div></div>
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| Subject |
Other; Picea sitchensis; Pinus contorta; Pinus albicaulis; Populus trichocarpa; Alnus rubra; Pseudotsuga menziesii; forest policy; provenance; Pinus ponderosa; Thuja plicata; Pinus monticola; Tsuga heterophylla; assisted migration; genetic clines; temperate species; Abies grandis; Abies procera; Abies concolor; Quercus garryana; Picea engelmannii; Pinus attenuata; Abies lasiocarpa; Cornus nuttallii; Ecological Genetics; Picea pungens
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| Geographic Location | |
| Type | |
| Notes |
Dryad version number: 1</p> Version status: submitted</p> Dryad curation status: Published</p> Sharing link: https://datadryad.org/stash/share/B_Uhu43VdcdIf5hocCtADULuiBdFkF2uuxqWZ5tNuiA</p> Storage size: 172522</p> Visibility: public</p> |
| Date Available |
2020-06-24
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| Provider |
University of British Columbia Library
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| License |
This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: CC0 Waiver
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| DOI |
10.14288/1.0397627
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| URI | |
| Publisher DOI | |
| Rights URI | |
| Aggregated Source Repository |
Dataverse
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Licence
This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: CC0 Waiver