Allometric scaling relationship between above‐ and below‐ground biomass within and across five woody seedlings

Cheng, Dongliang; Ma, Yuzhu; Zhong, Quanlin; Xu, Weifeng

doi:10.1002/ece3.1184

Cited by 11 publications

(7 citation statements)

References 49 publications

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“…The slope values for relationships between LM and SM or RM obtained with our data at age 2 years were very close to those obtained by Poorter et al (2015) for the similar range of plant sizes, by Niklas (2004) based on a dataset for small-sized herbaceous and juvenile woody plants, and by Cheng et al (2014) for seedlings of five tree species. This indicates that in tree seedlings that accumulated little secondary tissues the slope values for those relationships are close to those obtained in our study.…”

Section: Discussionsupporting

confidence: 84%

“…However, the observed genetic variation in biomass allocation patterns in various tree species (Oleksyn et al 1992;Oleksyn et al 1999;Retzlaff et al 2001;Chmura et al 2007;Aranda et al 2010;Sanchez-Gomez et al 2010;Chmura et al 2013;Cheng et al 2014) implies that variation in allometry may also exist at the intra-species level. Comparing half-sib families or any other genetic groups using allometric relationships may reveal genetic effects on plant growth and biomass partitioning.…”

Section: Introductionmentioning

confidence: 99%

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Allometry varies among related families of Norway spruce

Chmura

Guzicka

Rożkowski

et al. 2017

Annals of Forest Science

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Key message Slopes and intercepts of allometric equations for organs’ biomass varied among half-sib families of Norway spruce and between age categories in a family-dependent manner. Genetic variation should be accounted for when applying allometric analysis to mixtures of genetic groups. Context Genetic variation in relationships among plant biomass components was rarely addressed in trees, though depending on deployment strategies in tree improvement programs, variation among genetic groups in plant organs’ growth rates, and thus biomass allocation, would affect forest growth and carbon balance. Aims We investigated growth and biomass distribution in Norway spruce (Picea abies [L.] H. Karst) half-sib families. We assumed invariance among families in allometric relationships, and stability in growth rates of different organs between ages 2 and 8 years in the subset of those families. We also tested for ontogenetic trend in allometry using the independent dataset of biomass at age 21 years. Methods We analyzed allometric relationships among plant components using standardized major axis regression. Results Slopes and intercepts of allometric relationships varied among families, indicating variation in both organs’ growth rates and biomass partitioning at a given plant size. Variation in scaling exponents between age categories was also dependent on the family and plant organ considered. Conclusion Variation in slopes of allometric relationships indicates that a single scaling coefficient should not be applied when different genetic groups are compared. For the interpretation of age effect on biomass partitioning, both slopes and intercepts of allometric relationships should be examined.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Allometry varies among related families of Norway spruce

Chmura

Guzicka

Rożkowski

et al. 2017

Annals of Forest Science

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“…However, the numerical values of the normalization constants are species‐specific (Fig. 1; Tables 1, 2) as reported for other species (e.g., Niklas and Enquist, 2002; Milla and Reich, 2007; Cheng et al, 2014).…”

Section: Discussionmentioning

confidence: 61%

“…Thus, the intraspecific tendency for “diminishing returns” is strong, but not obligate. Indeed, previous studies indicate that scaling relationships are sensitive to climate, soil, and a variety of other abiotic factors (e.g., Niklas and Enquist, 2002; Price and Enquist, 2007; von Allmen et al, 2012; Sperry et al, 2012), as well as plant functional groupings (e.g., Niklas et al, 2007; Cheng et al, 2014). These findings indicate that the hypothesis of diminishing returns must be examined in terms of the behavior of single individual species and species growing under different environmental conditions.…”

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confidence: 99%

“Diminishing returns” in the scaling of leaf area vs. dry mass in Wuyi Mountain bamboos, Southeast China

Sun

Fan

Niklas

et al. 2017

American J of Botany

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“…Moreover allometric biomass allocation theory predicts that leaf biomass (ML) scaled isometrically with stem (MS) and root (MR) biomass, and thus above-ground biomass (leaf and stem) (MA) and root (MR) scaled nearly isometrically with below-ground biomass (root) for tree seedlings across a wide diversity of taxa. Furthermore, prior studies also imply that scaling constant should vary with species (Cheng et al, 2014). This presents interesting challenges when trying to estimate the total aboveground biomass, or by components when needed.…”

Section: Introductionmentioning

confidence: 99%

Allometric models for estimating aboveground biomass in tree sprouts of three dendroenergetic crops

Ríos-Saucedo¹,

Acuña²,

Cancino-Cancino³

et al. 2021

Dendrobiology

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Recurrent problems have been observed for biomass measurement in tree sprouts, mainly dueto differences in patterns of biomass distribution and the bias generated by using models for mature trees.The objective of this research was to evaluate models to estimate aboveground biomass in sprouts from two-year-old stumps of Short Rotation Woody Crops (SRWC) used for energetic purposes. The study was conducted in Central Chile (Bío-Bío region) under a complete block design and four replications.Three plant species were included: Eucalyptus globulus, E. denticulata, and Acacia dealbata, established in three population densities (5,000, 10,000 and 15,000 trees per ha). Two groups of nonlinear models wereused on three independent variables: root collar diameter (squared mean of two dominant stems), height (mean of two dominant stems) and number of epicormic stems. In the allometric model, the total aboveground biomass and the aboveground biomass by component were explained as the product of the mean square of the root collar diameter, mean height of the two dominant new sprouts and total number of epicormic sprouts as the predictive variable. Values of coefficient of determination (R2) ranged from 0.78 to 0.95 and RMSE ranged from 168 to 913 g. The species of E. globulus showed higher RMSE for biomass estimation in the all components except the branch component. The inclusion of dummy variables to identify the differences in each parameter of the models explained the seasonalityof the biomass accumulation in tree sprouts at 10, 21, and 31 months of age, improving the model goodness of fit RMSE by 27%. Accurate prediction of sprouts aboveground biomass was obtained by the models only evaluating the two dominant epicormic sprouts in the stump, avoiding the need of individual sprouts evaluation or using destructive methods for biomass measurement.

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Allometric scaling relationship between above‐ and below‐ground biomass within and across five woody seedlings

Cited by 11 publications

References 49 publications

Allometry varies among related families of Norway spruce

Allometry varies among related families of Norway spruce

“Diminishing returns” in the scaling of leaf area vs. dry mass in Wuyi Mountain bamboos, Southeast China

Allometric models for estimating aboveground biomass in tree sprouts of three dendroenergetic crops

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