Multiplicative by nature : Why logarithmic transformation is necessary in allometry

By A. Kerkhoff, Brian J. Enquist. 2009

297 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ca56d277d308cce9bf821e581e0d9a30732dec58

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Citations in the corpus

A compatible system of biomass equations for three conifer species in Northeast, China (2014, background): “Thus, the multiplicative error structure is more appropriate and better for the allometric relationship between variables (Gingerich, 2000; Kerkhoff and Enquist, 2009).”
Modeling errors in daily precipitation measurements: Additive or multiplicative? (2013, result): “[19] This is a simple argument in favor of the multiplicative model [e.g., Kerkhoff and Enquist, 2009].”
Hydraulic conductivity traits predict growth rates and adult stature of 40 Asian tropical tree species better than wood density (2012, methodology): “To increase the normality of distributions, the original data were log10-transformed (Kerkhoff & Enquist 2009).”
Interspecific integration of trait dimensions at local scales: the plant phenotype as an integrated network (2017, methodology): “Following Kerkhoff & Enquist (2009), size- and growth-related traits were natural-log transformed (LMA, Leaf Area, Branch diameter, KS and KBRANCH).”
Minimizing Bias in Biomass Allometry: Model Selection and Log‐Transformation of Data (2011, background): “However, Kerkhoff and Enquist (2009) note that many allometric characteristics of organisms are ‘multiplicative by nature’ and thus fitting models to log-transformed data is perfectly acceptable because accounting for proportional rather than absolute variation is most important.”
Connecting the green and brown worlds . allometric and stoichiometric predictability of above- and below-ground networks (2013, methodology): “Although the use of log–log scales is still disputed (compare Heusner, 1982; Warton et al., 2006, with Kerkhoff and Enquist, 2009 and Lloyd et al., 2013 with their ‘Lulu Effect’ for outliers), log axes perform better than geometrical axes for detecting the existence and the degree of…”
TRY – a global database of plant traits (2011, background): “…Chambers et al. (2004, 2009) 9 ArtDeco Database* W. K. Cornwell, J. H. C. Cornelissen Cornwell et al. (2008) 10 The Americas N&P database B. J. Enquist, A. J. Kerkhoff Kerkhoff et al. (2006) 11 ECOCRAFT B. E. Medlyn Medlyn and Javis (1999), Medlyn et al. (1999, 2001) 12 Tree Tolerance Database* Ü.”