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  The quasi-equilibrium framework revisited: analyzing long-term CO2 enrichment responses in plant-soil models

Jiang, M. K., Zaehle, S., De Kauwe, M. G., Walker, A. P., Caldararu, S., Ellsworth, D. S., et al. (2019). The quasi-equilibrium framework revisited: analyzing long-term CO2 enrichment responses in plant-soil models. Geoscientific Model Development, 12(5), 2069-2089. doi:10.5194/gmd-12-2069-2019.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-C5C2-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0007-708A-F
Genre: Journal Article

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http://dx.doi.org/10.5194/gmd-12-2069-2019 (Publisher version)
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 Creators:
Jiang, M. K., Author
Zaehle, Sönke1, 2, Author              
De Kauwe, M. G., Author
Walker, A. P., Author
Caldararu, Silvia1, Author              
Ellsworth, D. S., Author
Medlyn, B. E., Author
Affiliations:
1Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938309              
2Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Prof. Dr. Martin Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497787              

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 Abstract: Elevated carbon dioxide (CO2) can increase plant growth, but the magnitude of this CO2 fertilization effect is modified by soil nutrient availability. Predicting how nutrient availability affects plant responses to elevated CO2 is a key consideration for ecosystem models, and many modeling groups have moved to, or are moving towards, incorporating nutrient limitation in their models. The choice of assumptions to represent nutrient cycling processes has a major impact on model predictions, but it can be difficult to attribute outcomes to specific assumptions in complex ecosystem simulation models. Here we revisit the quasi-equilibrium analytical framework introduced by Comins and McMurtrie (1993) and explore the consequences of specific model assumptions for ecosystem net primary productivity (NPP). We review the literature applying this framework to plant-soil models and then analyze the effect of several new assumptions on predicted plant responses to elevated CO2. Examination of alternative assumptions for plant nitrogen uptake showed that a linear function of the mineral nitrogen pool or a linear function of the mineral nitrogen pool with an additional saturating function of root biomass yield similar CO2 responses at longer timescales (> 5 years), suggesting that the added complexity may not be needed when these are the timescales of interest. In contrast, a saturating function of the mineral nitrogen pool with linear dependency on root biomass yields no soil nutrient feedback on the very-long-term (> 500 years), near-equilibrium timescale, meaning that one should expect the model to predict a full CO2 fertilization effect on production. Secondly, we show that incorporating a priming effect on slow soil organic matter decomposition attenuates the nutrient feedback effect on production, leading to a strong medium-term (5-50 years) CO2 response. Models incorporating this priming effect should thus predict a strong and persistent CO2 fertilization effect over time. Thirdly, we demonstrate that using a "potential NPP" approach to represent nutrient limitation of growth yields a relatively small CO2 fertilization effect across all timescales. Overall, our results highlight the fact that the quasi-equilibrium analytical framework is effective for evaluating both the consequences and mechanisms through which different model assumptions affect predictions. To help constrain predictions of the future terrestrial carbon sink, we recommend the use of this framework to analyze likely outcomes of new model assumptions before introducing them to complex model structures.

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 Dates: 2019-05-28
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC3089
DOI: 10.5194/gmd-12-2069-2019
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Project name : Quincy
Grant ID : 647204
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Geoscientific Model Development
  Other : Geosci. Model Dev.
  Abbreviation : GMD
Source Genre: Journal
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Publ. Info: Göttingen : Copernicus Publ.
Pages: - Volume / Issue: 12 (5) Sequence Number: - Start / End Page: 2069 - 2089 Identifier: ISSN: 1991-959X
CoNE: https://pure.mpg.de/cone/journals/resource/1991-959X