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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jan 2022
Research article |
| 28 Jan 2022
| 28 Jan 2022
Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework
Department of Earth System Science, University of California
Irvine, Irvine, California, USA
Nicholas C. Parazoo
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
A. Anthony Bloom
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Peter D. Blanken
Department of Geography, University of Colorado Boulder, Boulder,
Colorado, USA
David R. Bowling
School of Biological Sciences, University of Utah, Salt Lake City,
Utah, USA
Sean P. Burns
Department of Geography, University of Colorado Boulder, Boulder,
Colorado, USA
National Center for Atmospheric Research, Boulder, Colorado, USA
Cédric Bacour
NOVELTIS, Labège, France
Fabienne Maignan
Laboratoire des Sciences du Climat et de l'Environnement,
LSCE-IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette,
France
Brett Raczka
National Center for Atmospheric Research, Boulder, Colorado, USA
Alexander J. Norton
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Ian Baker
Cooperative Institute for Research in the Atmosphere, Colorado
State University, Fort Collins, Colorado, USA
Mathew Williams
School of GeoSciences,
University of Edinburgh, Edinburgh, UK
National Centre for Earth Observation,
Edinburgh, UK
Mingjie Shi
Pacific Northwest National Laboratory, 902 Battelle Blvd,
Richland, Washington, USA
Yongguang Zhang
International Institute for Earth System Sciences, Nanjing
University, Nanjing, Jiangsu Province, China
Bo Qiu
International Institute for Earth System Sciences, Nanjing
University, Nanjing, Jiangsu Province, China
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Cited
6 citations as recorded by crossref.
- Forest productivity recovery or collapse? Model‐data integration insights on drought‐induced tipping points J. Au et al. 10.1111/gcb.16867
- Attributing Past Carbon Fluxes to CO2 and Climate Change: Respiration Response to CO2 Fertilization Shifts Regional Distribution of the Carbon Sink G. Quetin et al. 10.1029/2022GB007478
- Drivers of Decadal Carbon Fluxes Across Temperate Ecosystems A. Desai et al. 10.1029/2022JG007014
- Spatial variations in the response of spring onset of photosynthesis of evergreen vegetation to climate factors across the Tibetan Plateau: The roles of interactions between temperature, precipitation, and solar radiation L. Zhang et al. 10.1016/j.agrformet.2023.109440
- Forests for forests: combining vegetation indices with solar-induced chlorophyll fluorescence in random forest models improves gross primary productivity prediction in the boreal forest Z. Pierrat et al. 10.1088/1748-9326/aca5a0
- Quantifying Northern High Latitude Gross Primary Productivity (GPP) Using Carbonyl Sulfide (OCS) L. Kuai et al. 10.1029/2021GB007216
5 citations as recorded by crossref.
- Forest productivity recovery or collapse? Model‐data integration insights on drought‐induced tipping points J. Au et al. 10.1111/gcb.16867
- Attributing Past Carbon Fluxes to CO2 and Climate Change: Respiration Response to CO2 Fertilization Shifts Regional Distribution of the Carbon Sink G. Quetin et al. 10.1029/2022GB007478
- Drivers of Decadal Carbon Fluxes Across Temperate Ecosystems A. Desai et al. 10.1029/2022JG007014
- Spatial variations in the response of spring onset of photosynthesis of evergreen vegetation to climate factors across the Tibetan Plateau: The roles of interactions between temperature, precipitation, and solar radiation L. Zhang et al. 10.1016/j.agrformet.2023.109440
- Forests for forests: combining vegetation indices with solar-induced chlorophyll fluorescence in random forest models improves gross primary productivity prediction in the boreal forest Z. Pierrat et al. 10.1088/1748-9326/aca5a0
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
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.
Uncertainty in the response of photosynthesis to temperature poses a major challenge to...
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