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Overlooked branch turnover creates a widespread bias in forest carbon accounting.

Authors :
Lim H
Medvigy D
Mäkelä A
Kim D
Albaugh TJ
Knier A
Blaško R
C Campoe O
Deshar R
Franklin O
Henriksson N
Littke K
Lutter R
Maier CA
Palmroth S
Rosenvald K
Slesak RA
Tullus A
Oren R
Source :
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2024 Oct 15; Vol. 121 (42), pp. e2401035121. Date of Electronic Publication: 2024 Oct 10.
Publication Year :
2024

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 <superscript>-1</superscript> 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.<br />Competing Interests: Competing interests statement:The authors declare no competing interest.

Details

Language :
English
ISSN :
1091-6490
Volume :
121
Issue :
42
Database :
MEDLINE
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
39388262
Full Text :
https://doi.org/10.1073/pnas.2401035121