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The scaling relationships of leaf biomass vs. leaf surface area of 12 bamboo species


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Huang, W, Su, X, Ratkowsky, DA, Niklas, KJ, Gielis, J and Shi, P 2019 , 'The scaling relationships of leaf biomass vs. leaf surface area of 12 bamboo species' , Global Ecology and Conservation, vol. 20 , pp. 1-10 , doi: 10.1016/j.gecco.2019.e00793.

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There is convincing evidence for a scaling relationship between leaf dry weight (DW) and leaf surface area (A) for broad-leaved plants, and most estimates of the scaling exponent of DW vs. A are greater than unity. However, the scaling relationship of leaf fresh weight (FW) vs. A has been largely neglected. In the present study, we examined whether there is a statistically strong scaling relationship between FW and A and compared the goodness of fit to that of DW vs. A. Between 250 and 520 leaves from each of 12 bamboo species within 2 genera (Phyllostachys and Pleioblastus) were investigated. The reduced major axis regression protocols were used to determine scaling relationships. The fit for the linearized scaling relationship of FW vs. A was compared with that of DW vs. A using the coefficient of determination (i.e., r2). A stronger scaling relationship between FW and A than that between DW and A was observed for each of the 12 bamboo species investigated. Among the 12 species examined, five had significantly smaller scaling exponents of FW vs. A compared to those of DW vs. A; only one species had a scaling exponent of FW vs. A greater than that of DW vs. A. No significant difference between the two scaling exponents was observed for the remaining 6 species. Researchers conducting future studies might be well advised to consider the influence of leaf fresh weight when exploring the scaling relationships of foliar biomass allocation patterns.

Item Type: Article
Authors/Creators:Huang, W and Su, X and Ratkowsky, DA and Niklas, KJ and Gielis, J and Shi, P
Keywords: allometry, dry weight, foliar water content, fresh weight, power law, reduced major axis
Journal or Publication Title: Global Ecology and Conservation
Publisher: Elsevier
ISSN: 2351-9894
DOI / ID Number: 10.1016/j.gecco.2019.e00793
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Copyright 2019 The Author(s)Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

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