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Thermal sensitivity across forest vertical profiles: patterns, mechanisms, and ecological implications

Journal

NEW PHYTOLOGIST
Volume 237, Issue 1, Pages 22-47

Publisher

WILEY
DOI: 10.1111/nph.18539

Keywords

climate change; ecosystem; forest; gas exchange; leaf temperature; leaf traits; microclimate; vertical gradients

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Rising temperatures affect forests at different scales, with significant vertical variation across forest strata. This study evaluates the vertical variation in microclimate, leaf temperatures, traits, and gas exchange in forests, and discusses the implications for tree and ecosystem ecology. Integrating these patterns and mechanisms into models is critical for predicting forest-climate feedback as the climate continues to change.
Rising temperatures are influencing forests on many scales, with potentially strong variation vertically across forest strata. Using published research and new analyses, we evaluate how microclimate and leaf temperatures, traits, and gas exchange vary vertically in forests, shaping tree, and ecosystem ecology. In closed-canopy forests, upper canopy leaves are exposed to the highest solar radiation and evaporative demand, which can elevate leaf temperature (T-leaf), particularly when transpirational cooling is curtailed by limited stomatal conductance. However, foliar traits also vary across height or light gradients, partially mitigating and protecting against the elevation of upper canopy T-leaf. Leaf metabolism generally increases with height across the vertical gradient, yet differences in thermal sensitivity across the gradient appear modest. Scaling from leaves to trees, canopy trees have higher absolute metabolic capacity and growth, yet are more vulnerable to drought and damaging T-leaf than their smaller counterparts, particularly under climate change. By contrast, understory trees experience fewer extreme high T-leaf's but have fewer cooling mechanisms and thus may be strongly impacted by warming under some conditions, particularly when exposed to a harsher microenvironment through canopy disturbance. As the climate changes, integrating the patterns and mechanisms reviewed here into models will be critical to forecasting forest-climate feedback.

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