Overlooked branch turnover creates a widespread bias in forest carbon accounting

Most measurements and models of forest carbon cycling neglect the carbon flux associated with the turnover of branch biomass, a physiological process quantified for other organs (fine roots, leaves, and stems). Synthesizing data from boreal, temperate, and tropical forests (184,815 trees), we found that including branch turnover increased empirical estimates of aboveground wood production by 16% (equivalent to 1.9 Pg Cy<sup>-1</sup> globally), of similar magnitude to the observed global forest carbon sinks. In addition, reallocating carbon to branch turnover in model simulations reduced stem wood biomass, a long-lasting carbon storage, by 7 to 17%. This prevailing neglect of branch turnover suggests widespread biases in carbon flux estimates across global datasets and model simulations. Branch litterfall, sometimes used as a proxy for branch turnover, ignores carbon lost from attached dead branches, underestimating branch C turnover by 38% in a pine forest. Modifications to field measurement protocols and existing models are needed to allow a more realistic partitioning of wood production and forest carbon storage.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-10-10
DOI
https://doi.org/10.1073/pnas.2401035121
Citations
7
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
4.84

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article

Overlooked branch turnover creates a widespread bias in forest carbon accounting

Róbert Blaško, Nils Henriksson, Otávio Camargo Campoe, David Medvigy et al.
7 citations
Proceedings of the National Academy of Sciences
Forest ecology and management
4.84
article

Overlooked branch turnover creates a widespread bias in forest carbon accounting

Róbert Blaško, Nils Henriksson, Otávio Camargo Campoe, David Medvigy, Annikki Mäkelä, Timothy J. Albaugh, Rashila Deshar, Robert A. Slesak, Hyungwoo Lim, K.M. Littke, Ram Oren, Dohyoung Kim, Arvo Tullus, Reimo Lutter, Oskar Franklin, Katrin Rosenvald, Sari Palmroth, Aubrey Knier, Christopher A. Maier
article en
7 citations

Abstract

Most measurements and models of forest carbon cycling neglect the carbon flux associated with the turnover of branch biomass, a physiological process quantified for other organs (fine roots, leaves, and stems). Synthesizing data from boreal, temperate, and tropical forests (184,815 trees), we found that including branch turnover increased empirical estimates of aboveground wood production by 16% (equivalent to 1.9 Pg Cy<sup>-1</sup> globally), of similar magnitude to the observed global forest carbon sinks. In addition, reallocating carbon to branch turnover in model simulations reduced stem wood biomass, a long-lasting carbon storage, by 7 to 17%. This prevailing neglect of branch turnover suggests widespread biases in carbon flux estimates across global datasets and model simulations. Branch litterfall, sometimes used as a proxy for branch turnover, ignores carbon lost from attached dead branches, underestimating branch C turnover by 38% in a pine forest. Modifications to field measurement protocols and existing models are needed to allow a more realistic partitioning of wood production and forest carbon storage.

Proceedings of the National Academy of SciencesVol. 121(42)
University of Notre Dame (US), Universidade Federal de Lavras (BR), International Institute for Applied Systems Analysis (AT), University of Helsinki (FI), North Carolina State University (US), Tribhuvan University (NP), Duke University (US), Estonian University of Life Sciences (EE), University of Washington (US), Swedish University of Agricultural Sciences (SE), Triangle (US), Southern Research Station (US), Pacific Northwest Research Station (US), Slovak Environmental Agency (SK), University of Tartu (EE), Pratt Institute (US), University at Buffalo, State University of New York (US), Virginia Tech (US)
Svenska Forskningsrådet Formas, Eesti Teadusagentuur, Academy of Finland, Kempestiftelserna, Office of Science
Life in Land
Openalex Percentile: Top 5%
Forest ecology and management
4.84
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