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.

Related authors

Low sensitivity of gross primary production to elevated CO2 in a mature eucalypt woodland
Jinyan Yang, Belinda E. Medlyn, Martin G. De Kauwe, Remko A. Duursma, Mingkai Jiang, Dushan Kumarathunge, Kristine Y. Crous, Teresa E. Gimeno, Agnieszka Wujeska-Klause, and David S. Ellsworth
Biogeosciences, 17, 265–279, https://doi.org/10.5194/bg-17-265-2020,https://doi.org/10.5194/bg-17-265-2020, 2020
Short summary

Related subject area

Biogeosciences
A model-independent data assimilation (MIDA) module and its applications in ecology
Xin Huang, Dan Lu, Daniel M. Ricciuto, Paul J. Hanson, Andrew D. Richardson, Xuehe Lu, Ensheng Weng, Sheng Nie, Lifen Jiang, Enqing Hou, Igor F. Steinmacher, and Yiqi Luo
Geosci. Model Dev., 14, 5217–5238, https://doi.org/10.5194/gmd-14-5217-2021,https://doi.org/10.5194/gmd-14-5217-2021, 2021
Short summary
Optical model for the Baltic Sea with an explicit CDOM state variable: a case study with Model ERGOM (version 1.2)
Thomas Neumann, Sampsa Koponen, Jenni Attila, Carsten Brockmann, Kari Kallio, Mikko Kervinen, Constant Mazeran, Dagmar Müller, Petra Philipson, Susanne Thulin, Sakari Väkevä, and Pasi Ylöstalo
Geosci. Model Dev., 14, 5049–5062, https://doi.org/10.5194/gmd-14-5049-2021,https://doi.org/10.5194/gmd-14-5049-2021, 2021
Short summary
WAP-1D-VAR v1.0: development and evaluation of a one-dimensional variational data assimilation model for the marine ecosystem along the West Antarctic Peninsula
Hyewon Heather Kim, Ya-Wei Luo, Hugh W. Ducklow, Oscar M. Schofield, Deborah K. Steinberg, and Scott C. Doney
Geosci. Model Dev., 14, 4939–4975, https://doi.org/10.5194/gmd-14-4939-2021,https://doi.org/10.5194/gmd-14-4939-2021, 2021
Short summary
SCOPE 2.0: a model to simulate vegetated land surface fluxes and satellite signals
Peiqi Yang, Egor Prikaziuk, Wout Verhoef, and Christiaan van der Tol
Geosci. Model Dev., 14, 4697–4712, https://doi.org/10.5194/gmd-14-4697-2021,https://doi.org/10.5194/gmd-14-4697-2021, 2021
Short summary
SolveSAPHE-r2 (v2.0.1): revisiting and extending the Solver Suite for Alkalinity-PH Equations for usage with CO2, HCO3 or CO32− input data
Guy Munhoven
Geosci. Model Dev., 14, 4225–4240, https://doi.org/10.5194/gmd-14-4225-2021,https://doi.org/10.5194/gmd-14-4225-2021, 2021
Short summary

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. 
Download
Short summary
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.