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Most variables scale isometrically with body size across species but claw force production scales allometrically with body size.
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The between-location scale (>100 km) is the most variable scale for species-specific densities (multivariate approach).
Analysis of variance was carried out based on completely randomized design and this revealed significant differences for most variables, indicating a large-scale diversity among the genotypes.
On a third occasion (Oct . 97 most variables showed greatest significant variation at the quadrat-scale and the site-scale.
Most variables were measured on bipolar five-point Likert scales.
We find that: 1) several water chemistry variables are best fit by legacy LULC while others have a stronger link to current LULC, and 2) single spatial scales of LULC analysis performed worse for most variables.
For analyses non-parametric tests were used since almost all items were measured with ordinal scales, the study sample was small, and most variables not normally distributed.
Our novel combination of temporal and spatial scales was the best overall model fit for most variables, including SRP where this model explained 54% of the variation.
Most variables are self explanatory.
In fitting Eq. (7) to the data from each plot, we found that the parameter that affected the asymptote was the most variable, followed by the scale parameter.
Next, we performed multidimensional scaling of the top 1% most variable CpGs to assess the inter-sample variability within each dataset.
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