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American Journal of Botany
Article . 2003 . Peer-reviewed
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Reexamination of a canonical model for plant organ biomass partitioning

Authors: Karl J, Niklas;

Reexamination of a canonical model for plant organ biomass partitioning

Abstract

A previously proposed “canonical” model for the scaling relations among leaf, stem, and root biomass (ML, MS, and MR, respectively) asserts that the proportional relations ML ∝ MS3/4 ∝ MR3/4 and MS ∝ MR hold across seed plant species. This model is scrutinized by determining whether the scaling relations between ML, MS, and MR vs. basal stem diameter DS and between ML, MS, and MR vs. plant height h are logically consistent with previously predicted scaling exponents. For example, if ML is observed to scale as the 2‐power of DS and the model asserts that ML ∝ MS3/4, then MS must scale as the 8/3‐power of DS if the model is valid. Using a large data base for species with self‐supporting stems, statistical support was found for most such comparisons between predicted and observed scaling relationships. However, this judgement is predicated on (1) the assertion that the scaling exponents for MR with respect to DS (or h) are numerically “deflated” due to a systematic underestimate of fine and small root biomass and (2) the stringent protocol used to calculate the 95% confidence intervals of scaling exponents, which favors rejection of the model. In light of these features, the “canonical” model is logically consistent with the new scaling relations reported here. Therefore, the model is judged valid within the context of this evaluation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
bronze