Articles | Volume 22, issue 7
https://doi.org/10.5194/bg-22-1809-2025
https://doi.org/10.5194/bg-22-1809-2025
Technical note
 | 
14 Apr 2025
Technical note |  | 14 Apr 2025

Technical note: A modified formulation of dynamic energy budget theory for faster computation of biological growth

Jinyun Tang and William J. Riley

Related authors

Impacts of tile drainage on hydrology, soil biogeochemistry, and crop yield in the U.S. Midwestern agroecosystems
Zewei Ma, Kaiyu Guan, Bin Peng, Wang Zhou, Robert Grant, Jinyun Tang, Murugesu Sivapalan, Ming Pan, Li Li, and Zhenong Jin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-340,https://doi.org/10.5194/hess-2024-340, 2024
Preprint under review for HESS
Short summary
Deriving a Transformation Rate Map of Dissolved Organic Carbon over the Contiguous U.S.
Lingbo Li, Hong-Yi Li, Guta Abeshu, Jinyun Tang, L. Ruby Leung, Chang Liao, Zeli Tan, Hanqin Tian, Peter Thornton, and Xiaojuan Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-43,https://doi.org/10.5194/essd-2024-43, 2024
Revised manuscript accepted for ESSD
Short summary
A chemical kinetics theory for interpreting the non-monotonic temperature dependence of enzymatic reactions
Jinyun Tang and William J. Riley
Biogeosciences, 21, 1061–1070, https://doi.org/10.5194/bg-21-1061-2024,https://doi.org/10.5194/bg-21-1061-2024, 2024
Short summary
KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N2O emission using data from mesocosm experiments
Licheng Liu, Shaoming Xu, Jinyun Tang, Kaiyu Guan, Timothy J. Griffis, Matthew D. Erickson, Alexander L. Frie, Xiaowei Jia, Taegon Kim, Lee T. Miller, Bin Peng, Shaowei Wu, Yufeng Yang, Wang Zhou, Vipin Kumar, and Zhenong Jin
Geosci. Model Dev., 15, 2839–2858, https://doi.org/10.5194/gmd-15-2839-2022,https://doi.org/10.5194/gmd-15-2839-2022, 2022
Short summary
Supporting hierarchical soil biogeochemical modeling: version 2 of the Biogeochemical Transport and Reaction model (BeTR-v2)
Jinyun Tang, William J. Riley, and Qing Zhu
Geosci. Model Dev., 15, 1619–1632, https://doi.org/10.5194/gmd-15-1619-2022,https://doi.org/10.5194/gmd-15-1619-2022, 2022
Short summary

Related subject area

Biogeochemistry: Modelling, Terrestrial
Estimates of critical loads and exceedances of acidity and nutrient nitrogen for mineral soils in Canada for 2014–2016 average annual sulfur and nitrogen atmospheric deposition
Hazel Cathcart, Julian Aherne, Michael D. Moran, Verica Savic-Jovcic, Paul A. Makar, and Amanda Cole
Biogeosciences, 22, 535–554, https://doi.org/10.5194/bg-22-535-2025,https://doi.org/10.5194/bg-22-535-2025, 2025
Short summary
Development of the DO3SE-Crop model to assess ozone effects on crop phenology, biomass, and yield
Pritha Pande, Sam Bland, Nathan Booth, Jo Cook, Zhaozhong Feng, and Lisa Emberson
Biogeosciences, 22, 181–212, https://doi.org/10.5194/bg-22-181-2025,https://doi.org/10.5194/bg-22-181-2025, 2025
Short summary
Future methane fluxes of peatlands are controlled by management practices and fluctuations in hydrological conditions due to climatic variability
Vilna Tyystjärvi, Tiina Markkanen, Leif Backman, Maarit Raivonen, Antti Leppänen, Xuefei Li, Paavo Ojanen, Kari Minkkinen, Roosa Hautala, Mikko Peltoniemi, Jani Anttila, Raija Laiho, Annalea Lohila, Raisa Mäkipää, and Tuula Aalto
Biogeosciences, 21, 5745–5771, https://doi.org/10.5194/bg-21-5745-2024,https://doi.org/10.5194/bg-21-5745-2024, 2024
Short summary
Understanding and simulating cropland and non-cropland burning in Europe using the BASE (Burnt Area Simulator for Europe) model
Matthew Forrest, Jessica Hetzer, Maik Billing, Simon P. K. Bowring, Eric Kosczor, Luke Oberhagemann, Oliver Perkins, Dan Warren, Fátima Arrogante-Funes, Kirsten Thonicke, and Thomas Hickler
Biogeosciences, 21, 5539–5560, https://doi.org/10.5194/bg-21-5539-2024,https://doi.org/10.5194/bg-21-5539-2024, 2024
Short summary
Representation of the terrestrial carbon cycle in CMIP6
Bettina K. Gier, Manuel Schlund, Pierre Friedlingstein, Chris D. Jones, Colin Jones, Sönke Zaehle, and Veronika Eyring
Biogeosciences, 21, 5321–5360, https://doi.org/10.5194/bg-21-5321-2024,https://doi.org/10.5194/bg-21-5321-2024, 2024
Short summary

Cited articles

Baklouti, M., Faure, V., Pawlowski, L., and Sciandra, A.: Investigation and sensitivity analysis of a mechanistic phytoplankton model implemented in a new modular numerical tool (Eco3M) dedicated to biogeochemical modelling, Prog. Oceanogr., 71, 34–58, https://doi.org/10.1016/j.pocean.2006.05.003, 2006. 
Beeftink, H. H., Vanderheijden, R. T. J. M., and Heijnen, J. J.: Maintenance requirements – energy supply from simultaneous endogenous respiration and substrate consumption, FEMS Microbiol. Ecol., 73, 203–209, https://doi.org/10.1016/0378-1097(90)90731-5, 1990. 
Burden, R. L. and Faires, J. D.: Numerical Analysis, 3rd edn., PWS Publishers, ISBN 0-87150-857-5, 1985. 
de Groot, S. R. and Mazur, P.: Non-equilbrium thermodynamics, Dover publications, Inc., New York, ISBN 0-486-64741-2, 1984. 
Droop, M. R.: Nutrient Status of Algal Cells in Continuous Culture, J. Mar. Biol. Assoc. UK, 54, 825–855, https://doi.org/10.1017/S002531540005760x, 1974. 
Download
Short summary
A new mathematical formulation of the dynamic energy budget model is presented for the growth of biological organisms. This new formulation combines mass conservation law and chemical kinetics theory and is computationally faster than the standard formulation of dynamic energy budget models. In simulating the growth of Thalassiosira weissflogii in a nitrogen-limiting chemostat, the new model is as good as the standard dynamic energy budget model using almost the same parameter values.
Share
Altmetrics
Final-revised paper
Preprint