{"id":82373,"date":"2024-12-18T14:20:07","date_gmt":"2024-12-18T19:20:07","guid":{"rendered":"https:\/\/mrnf.gouv.qc.ca\/nos-publications\/identifying-climatically-compatible-seedlots-eastern-us-predictive-tools\/"},"modified":"2024-12-18T14:20:07","modified_gmt":"2024-12-18T19:20:07","slug":"identifying-climatically-compatible-seedlots-eastern-us-predictive-tools","status":"publish","type":"cpt_publication","link":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/identifying-climatically-compatible-seedlots-eastern-us-predictive-tools\/","title":{"rendered":"Identifying climatically-compatible seedlots for the eastern US: building the predictive tools and knowledge to enable forest assisted migration"},"content":{"rendered":"\n

Published in Frontiers in Forests and Global Change 7: 1449340. https:\/\/doi.org\/10.3389\/ffgc.2024.1449340<\/a><\/strong><\/p>\n

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 (\u03c3d) index, to match planting sites across the eastern US with (future) climatically-compatible seedlots (CCS).<\/p>\n\n\n","protected":false},"excerpt":{"rendered":"

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 […]<\/p>\n","protected":false},"template":"","format":"standard","cptt_secteur":[1179],"cptt_theme":[1180,1181,1182],"cptt_categ_publi":[1149],"cptt_auteurs_ministeriels":[1103,1111],"class_list":["post-82373","cpt_publication","type-cpt_publication","status-publish","format-standard","hentry","cptt_secteur-forests","cptt_theme-forestry-research","cptt_theme-forests","cptt_theme-silviculture","cptt_categ_publi-scientific-article","cptt_auteurs_ministeriels-c-perie","cptt_auteurs_ministeriels-p-raymond"],"acf":[],"yoast_head":"\nIdentifying climatically-compatible seedlots for the eastern US: building the predictive tools and knowledge to enable forest assisted migration - Minist\u00e8re des Ressources naturelles et des For\u00eats<\/title>\n<meta name=\"description\" content=\"There is growing interest to research and implement forest assisted migration (FAM). 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