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

Author:

Yang Mingxia1ORCID,Zhou Xiaolu12ORCID,Liu Zelin1,Li Peng1,Liu Caixia2,Huang Huabing3,Tang Jiayi1,Zhang Cicheng1,Zou Ziying1,Xie Binggeng1,Peng Changhui14ORCID

Affiliation:

1. School of Geographic Sciences Hunan Normal University Changsha China

2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing China

3. School of Geospatial Engineering and Science Sun Yat‐Sen University Zhuhai China

4. Department of Biology Sciences University of Quebec at Montreal Quebec Canada

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.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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