Aboveground biomass allocation and additive allometric models of fifteen tree species in northeast China based on improved investigation methods

Xu, Zhenzhao; Du, Weian; Zhou, Guang‐Jie; Qin, Lihou; Meng, Shengwang; Jiang, Yu; Zhen, Sun; Siqing, Bilige; Liu, Qijing

doi:10.1016/j.foreco.2021.119918

Cited by 16 publications

(6 citation statements)

References 57 publications

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“…For other organs, the dynamics of their biomass proportions were relatively complex. For branches, it is generally believed that the biomass proportion decreases with stand age [29,47,48,53], but some researchers have shown the reverse conclusion [47,54]. Our study results support the former; additionally, we further revealed that the proportion of branch biomass decreases not linearly but nonlinearly with age.…”

Section: Discussionsupporting

confidence: 81%

“…Our study results support the former; additionally, we further revealed that the proportion of branch biomass decreases not linearly but nonlinearly with age. Stem biomass usually accumulates at the expense of leaf biomass [44,55], and most studies have indicated that leaf biomass proportion decreases with stand age or tree size [29,47,48,50,54,56]. We have observed the same conclusion.…”

Section: Discussionsupporting

confidence: 80%

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Allocation Patterns and Temporal Dynamics of Chinese Fir Biomass in Hunan Province, China

Deng

et al. 2023

Forests

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How trees allocate their biomass among different components has important implications for their survival and growth and ecosystem carbon cycling. Data on the distribution pattern and dynamics of tree biomass are essential for fully exploiting forest carbon sequestration potential and achieving the goal of carbon neutralization. However, there has not been enough research to-date on tree biomass spatial allocation and temporal dynamics in different site qualities at specific tree species scales. This study aimed to evaluate the biomass allocation patterns within tree components of Chinese fir and to examine how they are affected by tree age and site quality. A total of 87 trees were destructively sampled and measured for stem, branch, leaf, bark and root biomass. The biomass proportion difference of tree components in different age stages (8-40 years) was analysed, and the influence process of tree age and site quality on biomass allocation was examined. Our results indicate that the biomass allocation varied with tree age and was also affected by site quality. Stem biomass accounted for the largest proportion of total tree biomass, followed by leaf, root, branch and bark biomass in young forests, and it was followed by root, bark, branch and leaf biomass in other age groups. The biomass proportion of each component all nonlinearly changed with tree age. The proportion of stem biomass increased with increasing tree age, and the biomass proportion of branches and leaves decreased with increasing tree age. The proportion of root biomass first increased and then decreased with tree age, while the bark biomass proportion first decreased and then increased with increasing tree age. Site quality had a positive effect on the biomass proportion of stems but a negative effect on the biomass proportion of branches and bark. The interaction of tree age and site quality also had a significant effect on the proportion of stem biomass as well as root biomass. Therefore, to obtain accurate estimates of Chinese fir forest biomass and carbon stocks, age-specific changes and the influence of site conditions on it need to be considered.

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Section: Discussionsupporting

confidence: 81%

Section: Discussionsupporting

confidence: 80%

Allocation Patterns and Temporal Dynamics of Chinese Fir Biomass in Hunan Province, China

Deng

et al. 2023

Forests

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Section: Discussionmentioning

confidence: 99%

“…In general, the results of direct tests on models do not represent the prediction and generalization abilities of the models and cross-validation is one of the most commonly used methods to validate models [36]. In our study, we used 10-fold cross-validation of the models and we can see from the results that the MPE, MAE, RMSE and R 2 of the two models for the prediction of the total biomass in stumps and coarse roots were relatively close, which means that the prediction ability of the two models was comparable and the test results of the disaggregated model were slightly better than those of the additive model.…”

Section: Discussionmentioning

confidence: 99%

Site Class Effects on Stump and Coarse Root Biomass Models of Larix olgensis in Northeastern China

Men

Yue

Sun

et al. 2022

Forests

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The stump and coarse root biomass remaining after tree harvesting are often overlooked by researchers, which may lead to underestimation of their role in carbon cycling, so we constructed two sets of additive models for larch (Larix olgensis Henry) plantations in Northeast China. Due to the absence of tree diameter at breast height data after harvesting, only the sole predictor variable stump disc diameter could be used to predict stump and coarse root biomass, and the results showed that stump disc diameter predicted stump biomass with higher accuracy than coarse root biomass predictions. In addition, to investigate the effect of the site class of complex stands on the predictive capability of the model, the generic model in this study was employed with all site class data and a specific model was developed and employed with all the site class data. We found that the generic model had different degrees of error compared to the predicted results for each site class, overestimating the total biomass by 15% and underestimating it by 10%, especially for site class IV. In conclusion, to obtain a biomass prediction model with reliable results, the impact of more complex site class effects should be considered.

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“…In the sapling stage, lateral crown expansion is rarely limited by neighboring trees, and light is usually the most limiting resource for growth, with the uniform growth of the CR allowing them to survive in low light conditions (Ricard et al 2003). As tree size increases, the crown preferentially expands to the side with gaps to maximize the accumulation of photosynthetic products for further investment in stem growth for mechanical safety, resulting in an asymmetrical crown (Krůček et al 2019;Xu et al 2022). Larch consistently has a larger and more uniform crown than birch and poplar, which may be attributed to its growth characteristics and less plasticity than broadleaf trees (Buchacher and Ledermann 2020;Holdaway 1986).…”

Section: The Growth Trend Of the Four Crmentioning

confidence: 99%

Two new methods applied to crown width additive models: a case study for three tree species in Northeastern China

Wang

Jiang

Xin

et al. 2023

Annals of Forest Science

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Key message The non-linear seemingly unrelated regression mixed-effects model (NSURMEM) and generalized additive model (GAM) were applied for the first time in crown width (CW) additive models of larch (Larix gmelinii Rupr.), birch (Betula platyphylla Suk.), and poplar (Populus davidiana Dode). The crown radii in four directions (CR) exhibited different growth trends and responded differently to tree size and competition variables. In the absence of calibration, GAM was more accurate than NSURMEM for CR and CW predictions. Context Crown radii in four directions (CR) and crown width (CW) are fundamental indicators used to describe tree crowns. The complexity of the CR growth in four directions of different tree species in natural forests is often ignored. There is logical additivity among CR and CW that is also often overlooked. Furthermore, the existing methods applied to CW additive models have some drawbacks. Aims We aim to: (i) evaluate the utility of two new methods in developing CW additive models for larch (Larix gmelinii Rupr.), birch (Betula platyphylla Suk.), and poplar (Populus davidiana Dode) in natural secondary forests of Northeastern China; and (ii) explore the growth patterns of CR in four directions to gain important ecological insights. Methods The non-linear seemingly unrelated regression mixed-effects model (NSURMEM) and generalized additive model (GAM) were used to develop CW additive models and to explore crown growth patterns. The predictive ability of the additive models was evaluated using leave-one-plot-out cross-validation (LOOCV). Results At a fair level without calibration, GAM provided slightly better results than NSURMEM. The response of the four CR to tree size and competition variables is different and may be non-uniform due to complex stand conditions and tree growth strategies. Conclusion The newly provided methods applied to additive models are available for external datasets. GAM is recommended in the absence of calibration. This study has important implications for the understanding of natural forest dynamics and decision-making for critical stand management.

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Aboveground biomass allocation and additive allometric models of fifteen tree species in northeast China based on improved investigation methods

Cited by 16 publications

References 57 publications

Allocation Patterns and Temporal Dynamics of Chinese Fir Biomass in Hunan Province, China

Allocation Patterns and Temporal Dynamics of Chinese Fir Biomass in Hunan Province, China

Site Class Effects on Stump and Coarse Root Biomass Models of Larix olgensis in Northeastern China

Two new methods applied to crown width additive models: a case study for three tree species in Northeastern China

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