Articles | Volume 19, issue 2
Biogeosciences, 19, 541–558, 2022
https://doi.org/10.5194/bg-19-541-2022
Biogeosciences, 19, 541–558, 2022
https://doi.org/10.5194/bg-19-541-2022
Research article
28 Jan 2022
Research article | 28 Jan 2022

Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework

Stephanie G. Stettz et al.

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Cited articles

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Arneth, A., Lloyd, J., Shibistova, O., Sogachev, A., and Kolle, O.: Spring in the boreal environment: observations on pre- and post-melt energy and CO2 fluxes in two central Siberian ecosystems, Boreal Environ. Res., 11, 311–328, 2006. 
Bacour, C., Maignan, F., MacBean, N., Porcar-Castell, A., Flexas, J., Frankenberg, C., Peylin, P., Chevallier, F., Vuichard, N., and Bastrikov, V.: Improving Estimates of Gross Primary Productivity by Assimilating Solar-Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process-Based SIF Model, J. Geophys. Res.-Biogeo., 124, 3281–3306, https://doi.org/10.1029/2019JG005040, 2019. 
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Uncertainty in the response of photosynthesis to temperature poses a major challenge to predicting the response of forests to climate change. In this paper, we study how photosynthesis in a mountainous evergreen forest is limited by temperature. This study highlights that cold temperature is a key factor that controls spring photosynthesis. Including the cold-temperature limitation in an ecosystem model improved its ability to simulate spring photosynthesis.
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