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

Stettz, Stephanie G.; Parazoo, Nicholas C.; Bloom, A. Anthony; Blanken, Peter D.; Bowling, David R.; Burns, Sean P.; Bacour, Cédric; Maignan, Fabienne; Raczka, Brett; Norton, Alexander J.; Baker, Ian; Williams, Mathew; Shi, Mingjie; Zhang, Yongguang; Qiu, Bo

doi:https://doi.org/10.5194/bg-19-541-2022

Articles | Volume 19, issue 2

https://doi.org/10.5194/bg-19-541-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-19-541-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 2

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, Nicholas C. Parazoo, A. Anthony Bloom, Peter D. Blanken, David R. Bowling, Sean P. Burns, Cédric Bacour, Fabienne Maignan, Brett Raczka, Alexander J. Norton, Ian Baker, Mathew Williams, Mingjie Shi, Yongguang Zhang, and Bo Qiu

Supplement

https://doi.org/10.5194/bg-19-541-2022-supplement

Data sets

Datasets for Study on Cold Temperature Limitation on GPP in an Evergreen Forest Stephanie Stettz https://doi.org/10.5281/zenodo.4928097

AmeriFlux BASE US-NR1 Niwot Ridge Forest (LTER NWT1), Ver. 18-5, AmeriFlux AMP Peter D. Blanken, Russel K. Monson, Sean P. Burns, David R. Bowling, and Andrew A. Turnipseed https://doi.org/10.17190/AMF/1246088

Model code and software

CARDAMOM code Y. Yang, A. A. Bloom, S. Ma, P. Levine, A. Norton, N. C. Parazoo, J. T. Reager, J. Worden, G. R. Quetin, T. L. Smallman, M. Williams, L. Xu, and S. Saatchi https://doi.org/10.5281/zenodo.4904195

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Short summary

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.