bioRxivPlant Biology
Implementing a framework of carbon and nitrogen feedback responses into a plant resource allocation model
Abstract
O_LIThe allocation of resources to roots and shoots can greatly alter total plant mass. Allocation is thought to be the consequence of growth processes (i.e uptake rates, transport rates, growth rates) and the communication between them via signalling mechanisms. Feedbacks that alter growth processes are induced in nature by changes in the internal pools of carbon and nitrogen, but how these function together to define allocation remains unclear. C_LIO_LIWe introduce a framework model of internal feedback responses to changes in plant carbon and nitrogen concentrations. We evaluate how well the model responds to changes in carbon and nitrogen availability by simulating external environmental perturbations that influence the uptake of resources. C_LIO_LIThe model reflects experimental results when looking at the effect of atmospheric CO2 and soil nitrogen concentrations on total plant mass and replicates observed responses to leaf defoliation events. Overall this shows that a combination of known signalling mechanisms are sufficient to reproduce experimentally observed responses to external resource availability. C_LIO_LIModel simulations highlight key areas of uncertainty where more empirical data is needed. In particular, quantitative data is needed to establish the strengths and rates at which feedback responses to carbon and nitrogen substrate concentrations alter growth and uptake rates. C_LI
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A mechanistic model towards ecological inclusion for a better plant growth understanding
L. Nasti, E. Del Dottore, … P. Marcati·bioRxiv·Dec 9, 2022
- Rethinking root-shoot growth dynamics
D. Robinson·bioRxiv·Jun 29, 2020
- Nitrogen demand, supply, and acquisition strategy control plant responses to elevated CO2 at different scales
E. A. Perkowski, E. Ezekannagha, N. G. Smith·bioRxiv·Nov 30, 2023
- Whole-plant optimality predicts changes in leaf nitrogen under variable CO2 and nutrient availability
S. Caldararu, T. Thum, … S. Zaehle·bioRxiv·Sep 30, 2019
- Modelling belowground plant acclimation to low soil nitrogen - An eco-evolutionary approach
Arjun Chakrawal, Sacha J. Mooney, Tino Colombi·bioRxiv·May 16, 2025
- Eco-Evolutionary Optimal Carbon Allocation in a MechanisticCrop Growth Model: Theory and Application to Wheat
Alexander Norton, Justin Borevitz·bioRxiv·Sep 23, 2026