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Identifying climatically-compatible seedlots for the eastern US: building the predictive tools and knowledge to enable forest assisted migration

Summary

Published in Frontiers in Forests and Global Change 7: 1449340. https://doi.org/10.3389/ffgc.2024.1449340

Global climate change and associated stressors threaten forest ecosystems due to the rapid pace of climate change, which could exceed the natural migration rate of some tree species. In response, there is growing interest to research and implement forest assisted migration (FAM). Here, we used a species-independent indicator based on climate analogy, according to the sigma (dis)similarity (σd) index, to match planting sites across the eastern US with (future) climatically-compatible seedlots (CCS).

Sector(s): 

Forests

Categorie(s): 

Scientific Article

Theme(s): 

Forestry Research, Forests, Silviculture

Author(s)

ADAMS, Bryce, Alejandro ROYO, Christel KERN, Dustin BRONSON, Stephen MATTHEWS, Andrew GOUGHERTY, Anantha PRASAD, Louis IVERSON, Evan REHM, Patricia RAYMOND, Catherine PÉRIÉ, Jessica MIESEL and Amanda MCGRAW

Year of publication :

2024

Format :

PDF

Keywords :

article scientifique, scientific article, sylviculture et rendement des forêts naturelles – peuplements mixtes, silviculture and yield of natural forests - mixed stands, migration assistée forestière, sélection de lots de semences, analogues climatiques, sylviculture d'adaptation, changements climatiques, forest assisted migration, climatically-compatible seedlot, climate analogs, adaptive silviculture, climate change

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