2015
DOI: 10.1111/eva.12293
|View full text |Cite
|
Sign up to set email alerts
|

Time to get moving: assisted gene flow of forest trees

Abstract: 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 radic… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

8
413
3
7

Year Published

2017
2017
2023
2023

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 418 publications
(431 citation statements)
references
References 96 publications
(197 reference statements)
8
413
3
7
Order By: Relevance
“…Table 2) supports that selectively divergent phenotypes can be maintained even if there are options for gene flow among these populations as suggested by Aitken and Bemmels (2016). Kremer et al.…”
Section: Discussionsupporting
confidence: 78%
“…Table 2) supports that selectively divergent phenotypes can be maintained even if there are options for gene flow among these populations as suggested by Aitken and Bemmels (2016). Kremer et al.…”
Section: Discussionsupporting
confidence: 78%
“…While appropriate source and recipient populations could be selected based on climatic and other ecological data (a “best guess” approach), such efforts would be better informed by knowledge of adaptive variation and climatic drivers of local adaptation. Assisted gene flow is expected to be especially beneficial in dispersal‐limited, long‐lived species such as trees (Aitken & Bemmels, 2016; Gugger, Liang, Sork, Hodgskiss, & Wright, 2017; Steane et al., 2014). …”
Section: Introductionmentioning
confidence: 99%
“…Longterm climatic projections have a high degree of uncertainty and represent a greater mismatch with the short-term climatic conditions plants may endure in the early, more vulnerable, stages of their life cycle (i.e., seedling and sapling stages; Gray et al, 2011;Isaac-Renton et al, 2014). For this reason, it is generally recommended that projection timeframes of 10-30 years be used (Gray et al, 2011;Aitken and Bemmels, 2016). It has also been recommended that the choice of climate change severity scenario should be dependent on the projects' approach to risk (Snover et al, 2013), as explained in Section Dealing with Uncertainty.…”
Section: How Is the Species Distribution Projected To Change?mentioning
confidence: 99%
“…When genetic adaptive variation data are not available, nor are the resources, in terms of funding or time, to undertake such investigations, knowledge developed on related species could be used Aitken and Bemmels, 2016). Mbogga et al (2010) and IsaacRenton et al (2014) also suggest that field-collected or remotely sensed-data of climate-driven plant health decline (especially relevant for trees) could be used to advocate for a provenance approach that increases the resilience of restoration plantings through assisted gene flow.…”
Section: Integrating Other Lines Of Evidencementioning
confidence: 99%