Warming-induced tree growth may help offset increasing disturbance across the Canadian boreal forest.

ABSTRACT: Large projected increases in forest disturbance pose a major threat to future wood fiber supply and carbon sequestration in the cold-limited, Canadian boreal forest ecosystem. Given the large sensitivity of tree growth to temperature, warming-induced increases in forest productivity have the potential to reduce these threats, but research efforts to date have yielded contradictory results attributed to limited data availability, methodological biases, and regional variability in forest dynamics. Here, we apply a machine learning algorithm to an unprecedented network of over 1 million tree growth records (1958 to 2018) from 20,089 permanent sample plots distributed across both Canada and the United States, spanning a 16.5 °C climatic gradient. Fitted models were then used to project the nea

SUBMITTER: Wang J 

PROVIDER: S-EPMC9926259 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature