Articles | Volume 12, issue 5
Geosci. Model Dev., 12, 2069–2089, 2019
https://doi.org/10.5194/gmd-12-2069-2019
Geosci. Model Dev., 12, 2069–2089, 2019
https://doi.org/10.5194/gmd-12-2069-2019

Methods for assessment of models 28 May 2019

Methods for assessment of models | 28 May 2019

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

Mingkai Jiang et al.

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Cited articles

Bonan, G. B. and Levis, S.: Quantifying carbon-nitrogen feedbacks in the Community Land Model (CLM4), Geophys. Res. Lett., 37, L07401, https://doi.org/10.1029/2010GL042430, 2010. 
Comins, H. N.: Equilibrium Analysis of Integrated Plant – Soil Models for Prediction of the Nutrient Limited Growth Response to CO2 Enrichment, J. Theor. Biol., 171, 369–385, 1994. 
Comins, H. N. and McMurtrie, R. E.: Long-term response of nutrient-limited forests to CO2 enrichment; equilibrium behavior of plant-soil models, Ecol. Appl., 3, 666–681, 1993. 
Corbeels, M., McMurtrie, R. E., Pepper, D. A., and O'Connell, A. M.: A process-based model of nitrogen cycling in forest plantations: Part I. Structure, calibration and analysis of the decomposition model, Ecol. Model., 187, 426–448, 2005. 
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Here we used a simple analytical framework developed by Comins and McMurtrie (1993) to investigate how different model assumptions affected plant responses to elevated CO2. This framework is useful in revealing both the consequences and the mechanisms through which different assumptions affect predictions. We therefore recommend the use of this framework to analyze the likely outcomes of new assumptions before introducing them to complex model structures.