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Dynamic carbon allocation trade‐off: A robust approach to model tree biomass allometry

Authors :
Mingxia Yang
Xiaolu Zhou
Zelin Liu
Peng Li
Caixia Liu
Huabing Huang
Jiayi Tang
Cicheng Zhang
Ziying Zou
Binggeng Xie
Changhui Peng
Source :
Methods in Ecology and Evolution, Vol 15, Iss 5, Pp 886-899 (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract Forest above‐ground biomass (AGB) is often estimated by converting the observed tree size using allometric scaling between the dry weight and size of an organism. However, the variations in biomass allocation and scaling between tree crowns and stems due to survival competition during a tree's lifecycle remain unclear. This knowledge gap can improve the understanding of modelling tree biomass allometry because traditional allometries ignore the dynamics of allocation. Herein, we characterised allometric scaling using the dynamic ratio (r) of the stem biomass (SB) to AGB and a dynamic exponent. The allometric models were biologically parameterised by the r values for initial, intermediate and final ages rather than only a regression result. The scaling was tested using field measurements of 421 species and 2213 different‐sized trees in pantropical regions worldwide. We found that the scaling fluctuated with tree size, and this fluctuation was driven by the trade‐off relationship of biomass allocation between the tree crown and stem depending on the dynamic crown trait. The allometric scaling between SB and AGB varied from 0.8 to 1.0 for a tree during its entire lifecycle. The fluctuations presented a general law for the allometric scaling of the pantropical tree biomass and size. Our model quantified the trade‐off and explained 94.1% of the allometric relationship between the SB and AGB (93.8% of which between D2H and AGB) for pantropical forests, which resulted in a better fit than that of the traditional model. Considering the effects of the trade‐off on modelling, the actual biomass of large trees could be substantially greater than conventional estimates. These results highlight the importance of coupling growth mechanisms in modelling allometry and provide a theoretical foundation for better describing and predicting forest carbon accumulation.

Details

Language :
English
ISSN :
2041210X
Volume :
15
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Methods in Ecology and Evolution
Publication Type :
Academic Journal
Accession number :
edsdoj.985b47fac3c249948753763ef6d2f8e7
Document Type :
article
Full Text :
https://doi.org/10.1111/2041-210X.14315