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Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
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Forest carbon allocation modelling under climate change.

Katarína Merganičová1,2, Ján Merganič2, Aleksi Lehtonen3

  • 1Czech University of Life Sciences, Prague, Faculty of Forestry and Wood Sciences, Kamýcká 129, 16500 Praha-Suchdol, Czech Republic.

Tree Physiology
|November 22, 2019
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Summary

This study reviews 31 vegetation models, finding that carbon allocation is often simplified. Future forest carbon cycling models need better understanding of disturbances and resource uptake for climate change adaptation.

Keywords:
carbon partitioningfixed ratiomodel calibrationmycorrhizanatural disturbancesnatural resourcesnonstructural carbohydratesrepair and defence functionreproductiontemporal resolution

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Area of Science:

  • Ecology
  • Forestry
  • Climate Change Science

Background:

  • Carbon allocation is vital for ecosystem dynamics and plant adaptation to environmental changes.
  • Accurate modeling of carbon allocation in vegetation is essential for predicting forest carbon cycling under climate change.
  • Existing vegetation models vary in their representation of carbon allocation processes.

Purpose of the Study:

  • To review current carbon allocation modeling in 31 contrasting vegetation models.
  • To identify gaps between model implementations and theoretical/empirical understanding of carbon allocation.
  • To highlight challenges and future directions for improving carbon allocation models in forest ecosystems.

Main Methods:

  • A comprehensive review of 31 vegetation models focusing on their carbon allocation components.
  • Analysis of modeling approaches, distinguishing between hybrid, empirical, and physiologically sophisticated methods.
  • Comparison of model implementations with current scientific understanding of carbon allocation processes.

Main Results:

  • Hybrid approaches combining multiple principles are prevalent in current models.
  • Physiologically sophisticated carbon allocation models are less common than empirical ones.
  • Despite increased research, key processes like disturbance impacts and non-structural carbohydrate dynamics remain poorly understood or oversimplified in models.

Conclusions:

  • Current vegetation models often oversimplify or omit crucial aspects of carbon allocation.
  • Future research must address gaps in understanding disturbances, non-structural carbohydrate dynamics, and symbiont carbon use.
  • Improved carbon allocation models are needed to accurately simulate forest responses to changing environmental conditions, including defense, regeneration, and resource uptake.