Parametric Controls on Vegetation Responses to Biogeochemical Forcing in the CLM5
Abstract
Future projections of land carbon uptake in Earth System Models are affected by land surface model responses to both CO2 and nitrogen fertilization. The Community Land Model, Version 5 (CLM5), contains a suite of modifications to carbon and nitrogen cycle representation. Globally, the CLM5 has a larger CO2 response and smaller nitrogen response than its predecessors. To improve our understanding of the controls over the fertilization responses of the new model, we assess sensitivity to eight parameters pertinent to the cycling of carbon and nitrogen by vegetation, both under present-day conditions and with CO2 and nitrogen fertilization. The impact of fertilization varies with both model parameters and with the balance of limiting factors (water, temperature, nutrients, and light) in the pre-fertilization model state. The model parameters that impact the pre-fertilization state are in general not the same as those that control fertilization responses, meaning that goodness of fit to present-day conditions does not necessarily imply a constraint on future transient projections. Where pre-fertilization state has low leaf area, fertilization-induced increases in leaf production amplify the model response to the initial fertilization via further increases in photosynthesis. Model responses to CO2 and N fertilization are strongly impacted by how much plantmore »
- Authors:
-
- National Center for Atmospheric Research, Boulder, CO (United States); Centre Européen Research et de Formation Avencée en Calcul Scientifique, Toulouse (France)
- National Center for Atmospheric Research, Boulder, CO (United States); Univ. of Colorado, Boulder, CO (United States). Inst. of Arctic and Alpine Research
- Centre Européen Research et de Formation Avencée en Calcul Scientifique, Toulouse (France)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- National Center for Atmospheric Research, Boulder, CO (United States)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); U.S. Department of Agriculture
- OSTI Identifier:
- 1649094
- Grant/Contract Number:
- AC05-00OR22725; 1852977; 2015-67003-23485; NNX17AK19G; SC0008317; SC0016188
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 9; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; biogeochemistry; carbon; CLM5; parameter; sensitivity; nitrogen
Citation Formats
Fisher, Rosie A., Wieder, William R., Sanderson, Benjamin M., Koven, Charles D., Oleson, Keith W., Xu, Chonggang, Fisher, Joshua B., Shi, Mingjie, Walker, Anthony P., and Lawrence, David M. Parametric Controls on Vegetation Responses to Biogeochemical Forcing in the CLM5. United States: N. p., 2019.
Web. doi:10.1029/2019ms001609.
Fisher, Rosie A., Wieder, William R., Sanderson, Benjamin M., Koven, Charles D., Oleson, Keith W., Xu, Chonggang, Fisher, Joshua B., Shi, Mingjie, Walker, Anthony P., & Lawrence, David M. Parametric Controls on Vegetation Responses to Biogeochemical Forcing in the CLM5. United States. https://doi.org/10.1029/2019ms001609
Fisher, Rosie A., Wieder, William R., Sanderson, Benjamin M., Koven, Charles D., Oleson, Keith W., Xu, Chonggang, Fisher, Joshua B., Shi, Mingjie, Walker, Anthony P., and Lawrence, David M. Wed .
"Parametric Controls on Vegetation Responses to Biogeochemical Forcing in the CLM5". United States. https://doi.org/10.1029/2019ms001609. https://www.osti.gov/servlets/purl/1649094.
@article{osti_1649094,
title = {Parametric Controls on Vegetation Responses to Biogeochemical Forcing in the CLM5},
author = {Fisher, Rosie A. and Wieder, William R. and Sanderson, Benjamin M. and Koven, Charles D. and Oleson, Keith W. and Xu, Chonggang and Fisher, Joshua B. and Shi, Mingjie and Walker, Anthony P. and Lawrence, David M.},
abstractNote = {Future projections of land carbon uptake in Earth System Models are affected by land surface model responses to both CO2 and nitrogen fertilization. The Community Land Model, Version 5 (CLM5), contains a suite of modifications to carbon and nitrogen cycle representation. Globally, the CLM5 has a larger CO2 response and smaller nitrogen response than its predecessors. To improve our understanding of the controls over the fertilization responses of the new model, we assess sensitivity to eight parameters pertinent to the cycling of carbon and nitrogen by vegetation, both under present-day conditions and with CO2 and nitrogen fertilization. The impact of fertilization varies with both model parameters and with the balance of limiting factors (water, temperature, nutrients, and light) in the pre-fertilization model state. The model parameters that impact the pre-fertilization state are in general not the same as those that control fertilization responses, meaning that goodness of fit to present-day conditions does not necessarily imply a constraint on future transient projections. Where pre-fertilization state has low leaf area, fertilization-induced increases in leaf production amplify the model response to the initial fertilization via further increases in photosynthesis. Model responses to CO2 and N fertilization are strongly impacted by how much plant communities can increase their rates of nitrogen fixation and also directly affected by costs of N extraction from soil and stoichiometric flexibility. Illustration of how parametric flexibility impacts model outputs should help inform the interpretation of carbon-climate feedbacks estimated by in fully coupled Earth system model simulations.},
doi = {10.1029/2019ms001609},
journal = {Journal of Advances in Modeling Earth Systems},
number = 9,
volume = 11,
place = {United States},
year = {Wed Sep 04 00:00:00 EDT 2019},
month = {Wed Sep 04 00:00:00 EDT 2019}
}
Web of Science
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