Timeseries partitioning of ecosystem respiration components in seasonal, non-tropical forests; comparing literature derived coefficients with evaluation at two contrasting UK forest sites

Jon McCalmont* (Corresponding Author), Andreas Heinemeyer, James Morison, Georgios Xenakis, Michael Bell, Matthew Wilkinson, Astley Hastings

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Understanding carbon flows within ecosystems is key to quantifying the impacts of land-use change in the climate. However, while the net exchange of CO2 between the ecosystem and atmosphere indicates global warming potentials, partitioning into individual flux components is needed to understand sinks and sources, residence times, and sensitivities to land-use impacts. Scaling from research site to region requires modelling evaluated against in situ measurements, but there is often a mismatch between outputs of process models (e.g., soil heterotrophic respiration (Rh)) and site-measured parameters (e.g., total soil surface respiration (Rs) or whole ecosystem respiration (Re)).Methods: This study took a literature review approach to determine fractional coefficients for estimating Rh from Re or Rs and considered whether these fractions differed across a year in seasonal forests, where relative contributions of root respiration might be expected to vary between growing and dormant seasons. Compiled timeseries data were grouped by forest type (broadleaf, needleleaf, and mixed), and coefficients for a fraction of each component (Rs or Re) that Rh represented were calculated using two approaches, namely a simple annual mean value over all months and individual monthly means. These coefficients were then used to estimate Rh separately from higher-level fluxes (Re from eddy covariance and Rs from soil chambers), measured concurrently at two UK forest sites, and compared to Rh estimated from the same datasets using previously published generic coefficients as well as to concurrently measured Rh and Re.Results: Both approaches resulted in much closer convergence of the two separate estimates of Rh (derived from Re or Rs) than previously published coefficients, particularly for Rh/Re coefficients that had previously been measured under peatland blanket bog rather than forest.Discussion/Conclusion: This result suggests that land cover is an important factor in determining the relative contribution of heterotrophic respiration to higher-level fluxes and that the coefficients used would ideally be derived from studies on similar ecosystems.
Original languageEnglish
Article number1352527
Number of pages14
JournalFrontiers in Forests and Global Change
Volume7
Early online date7 Mar 2024
DOIs
Publication statusPublished - 7 Mar 2024

Bibliographical note

Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by UK Research and Innovation and the Biotechnology and Biological Research Council through the Strategic Priorities Fund for Greenhouse Gas Removal. NetZeroPlus: Sustainable Treescapes Demonstrator and Decision Tools (Netzeroplus.ac.uk), Grant number BB/V011588/1. The Alice Holt 2010 soil flux data were collected as part of a Natural Environment Research Council (NERC grants: F14/G6/105 & NE/C513550/1) funded project Centre for Terrestrial Carbon Dynamics.

Acknowledgments
The authors would like to thank Prof. Jo Smith at Aberdeen University for comments and suggestions on an early draft, and special thanks to Edward Eaton for assisting with running the Alice Holt site and contributing to the soil flux measurements. We are further grateful to the Forestry Commission, UK, for funding both the Alice Holt and Harwood long-term research sites.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Keywords

  • forest respiration
  • flux partitioning
  • CO2 flux
  • soil organic carbon
  • modelling

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