Bivariate line‐fitting methods for allometry

By David I. Warton, I. Wright, Daniel S. Falster, M. Westoby. Biological Reviews of The Cambridge Philosophical Society, 2006

2,100 citations recorded by the source corpus.

Subfields: Ecological Modeling, Genetics, Paleontology

View Paper: https://www.semanticscholar.org/paper/66ebb150fac8dc481d3f252bc1bd5bab500e030a

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Citations in the corpus

On the analysis of non‐linear allometries (2009, methodology): “…allometric relationships are described by the equation y = bx k , where y is the size of the organ or body part, x is the size of the whole organism and the exponent ( Warton et al. , 2006 ), there has been very little critical examination of the techniques used to analyse non-linear allometries.”
Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis. (2009, methodology): “Each functional group from each study is represented by a regression line (following type II regression of Warton et al., 2006).”
Crown plasticity enables trees to optimize canopy packing in mixed-species forests (2015, methodology): “Regressions were fitted using ordinary least squares regression (as opposed to standardised major axis regression), as the models needed to generate predictions of CV for each tree (Warton et al. 2006).”
Trade-off between root nitrogen acquisition and shoot nitrogen utilization across 13 co-occurring pasture grass species (2009, methodology): “Slopes and intercepts were calculated according to Warton et al. (2006). (a) log Root Mass = -0-97 ±0-33 log SRA + 5-53 ± 0-74 (i><0-05); (b) log ImaxNO~ = -0-51 ±0-14 log ImaxNH*- 1-08 ±0-07 (P<0-01); (d) log ImaxTot = -1-82 ± 0-43 log Root Mass - 4-81 ± 1-29 (P < 001).”
Light and growth in marine phytoplankton: allometric, taxonomic, and environmental variation (2015, methodology): “Allometric relationships are often fit using standardized major axis (SMA) regression (Warton et al. 2006).”
Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, positive): “These linear regressions were conducted with the software SMATR (Warton et al., 2006), and the slopes and interceptions were compared between various regression equations.”
The scaling of green space coverage in European cities (2009, methodology): “We used standardized major axis regression ( Warton et al. 2006) to explore log–log relationships among green space coverage, human population size and city area.”
Hydraulic conductivity traits predict growth rates and adult stature of 40 Asian tropical tree species better than wood density (2012, methodology): “The SMA is more suitable than regression model I for examining the scaling relationship between two variables that are both measured with error (Warton et al. 2006).”
Mechanisms underlying global temperature-related patterns in leaf longevity (2013, methodology): “Relationships between leaf traits were described using a combination of standardized major axis (SMA) slopes (Warton et al., 2006) and the Pearson correlation test.”
Robust dynamic classes revealed by measuring the response function of a social system (2008, methodology): “Although estimation of scaling laws is a subtle and controversial issue (14, 15), this procedure has been extensively tested by using synthetic data and is able to sufficiently recover exponents with an accuracy of ±0.”
Linking litter decomposition of above‐ and below‐ground organs to plant–soil feedbacks worldwide (2013, methodology): “We estimated the slopes of relationships between (log-transformed) organ k with standardized major axes regressions and used standard slope comparison procedures (SMATR-package; Warton et al. 2006) to test for slope heterogeneity between studies.”
Physiological and structural tradeoffs underlying the leaf economics spectrum. (2017, methodology): “01), the log–log ‘scaling’ relationships were quantified with standardized major axis (SMA) slopes (Warton et al., 2006), fitted with the smatr package in the R statistical software (v.”
A plant economics spectrum in Mediterranean forests along environmental gradients: is there coordination among leaf, stem and root traits? (2016, methodology): “The SMA is a statistical tool highly recommended for allometric studies (Warton et al. 2006) when there is no clear dependent or independent variable and there is an interest in knowing the slope between the two axes.”