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A better understanding of the coupling between
photosynthesis and carbon allocation in the boreal forest, together with its
associated environmental factors and mechanistic rules, is crucial to
accurately predict boreal forest carbon stocks and fluxes, which are
significant components of the global carbon budget. Here, we adapted the
MAIDEN ecophysiological forest model to consider important processes for
boreal tree species, such as nonlinear acclimation of photosynthesis to
temperature changes, canopy development as a function of previous-year
climate variables influencing bud formation and the temperature dependence
of carbon partition in summer. We tested these modifications in the eastern
Canadian taiga using black spruce (Picea mariana (Mill.) B.S.P.) gross primary production
and ring width data. MAIDEN explains 90 % of the observed daily gross
primary production variability, 73 % of the annual ring width variability
and 20–30 % of its high-frequency component (i.e., when decadal trends are
removed). The positive effect on stem growth due to climate warming over the
last several decades is well captured by the model. In addition, we
illustrate how we improve the model with each introduced model adaptation
and compare the model results with those of linear response functions. Our
results demonstrate that MAIDEN simulates robust relationships with the most
important climate variables (those detected by classical response-function
analysis) and is a powerful tool for understanding how environmental factors
interact with black spruce ecophysiology to influence present-day and future
boreal forest carbon fluxes
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