Time to get moving: assisted gene flow of forest trees
| Autor: | Jordan B. Bemmels, Sally N. Aitken |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
0106 biological sciences
ecological genetics provenance Climate change Biology 010603 evolutionary biology 01 natural sciences Population genomics Genetics Temperate climate assisted migration Ecology Evolution Behavior and Systematics Local adaptation Maladaptation Ecology Reforestation forest policy 15. Life on land Review and Syntheses climate change Boreal 13. Climate action temperate species Climate model genetic clines General Agricultural and Biological Sciences local adaptation 010606 plant biology & botany |
| Zdroj: | Evolutionary Applications |
| ISSN: | 1752-4571 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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