2015
DOI: 10.1111/1365-2745.12294
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Biomass–density data analysis: a comment on Cabaço et al. (2013)

Abstract: Summary1. Appropriate use of mathematics and statistics is fundamental for sound interpretations of ecological results and to prevent inaccurate conclusions. 2. Throughout the article by Cabac ßo et al. (2013) emerge cases of biased data analyses including absence of statistical tests, application of unsuited tests, inconsistent geometrical interpretation of xy data scatter, among others. 3. These biases congregated into incorrect conclusions including (i) reporting a generalized nutrient limitation of seagras… Show more

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Cited by 3 publications
(3 citation statements)
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(23 reference statements)
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“…Monitoring seagrass health has been proposed for coastal water quality assessment [ 43 47 ]. The development of an ecological indicator relying exclusively on the biomass–density relation of seagrasses has been previously attempted, unsuccessfully [ 47 , 59 ]. At that time, the existence of a seagrass IBL and the fact that the efficiency of space occupation is a fundamental aspect of seagrass ecology were unknown.…”
Section: Discussionmentioning
confidence: 99%
“…Monitoring seagrass health has been proposed for coastal water quality assessment [ 43 47 ]. The development of an ecological indicator relying exclusively on the biomass–density relation of seagrasses has been previously attempted, unsuccessfully [ 47 , 59 ]. At that time, the existence of a seagrass IBL and the fact that the efficiency of space occupation is a fundamental aspect of seagrass ecology were unknown.…”
Section: Discussionmentioning
confidence: 99%
“…Patterns of trait variation were also visualized using principal component analysis (PCA) on the standardized variables. A particular focus was given to the covariation between Zostera marina densities and its above‐ and below‐ground biomass, as it can be indicative of the processes underlying seagrass demography (Cabaço et al., 2007, 2013;Vieira et al, 2015, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…Broader studies still face problems with numerical methods. Examples of this are the debate between Cabaco et al (2013) and Vieira et al (2015), or inadequate analyses such as flawed PCA applications lacking criteria to screen the meaningful principal components and the variables significantly contributing to each of these components. Concomitantly, the efficiency of space occupation and its related phalanx and guerrilla clonal growth forms were used as indicators of the health of seagrass meadows (Sintes et al, 2005) as well as of meadows of other clonal plants in wetlands and their response to environmental stressors (Chen et al, 2011(Chen et al, , 2014(Chen et al, , 2017Geremew et al, 2018).…”
Section: Introductionmentioning
confidence: 99%