Sentence examples for variable wood from inspiring English sources

Fuel type was the primary independent variable (wood compared with NG); maternal age, body mass index (BMI), gravidity, and socioeconomic status were potential confounding variables.

The evaporation regime is strongly influenced locally by the exposure to sun and wind, which was accounted for by characterising each sampling site as either i) entirely shadowed (2), partially or sometimes shadowed (1) and never shadowed (0) (variable SHADOW) and either ii) situated in a closed wood (2), open wood or forest edge (1) or not in a wood (0) (variable WOOD).

In contrast to this field study, about 60%% of the variation in CO2 flux of CWD of the same species was explained by climatic variables (wood moisture and wood temperature) in a lab incubation experiment (Herrmann and Bauhus 2012).

GLM is a generalisation of ordinary regression that—via a link function allows the model to accommodate response variables that have non-normal distributions and/or that are nonlinearly related to the predictor variables (Wood 2006).

Moreover, a local variable (dead wood) was the main predictor of saproxylic oak beetles (all species included), while for red-listed saproxylic oak beetles the landscape (woodland key habitat within 1 km of plots) was the main predictor, of local species richness.

A specific predictor variable for wood smoke was not available (De Hoogh et al. 2013).

In addition, UV and IR microspectroscopy provide the opportunity to localise these alterations within the cellular and chemically and structurally highly variable substrate wood.

Plant responses to wood-based AC were even more variable, with wood-based AC having a greater native : non-native ratio than coal-based AC in the first year and a lower native : non-native ratio than coal-based AC in the third year.

The influence of formulation variables of wood flour-reinforced phenolic foams (WRPFs) on density, compressive mechanical properties and morphology of the material was studied applying an experimental design.

From the three independent variables, most of wood density variability was explained by cambial age, followed by site effects and tree-ring width.

Taxon, cambial age, ring width and aspect were highly significant as explanatory variables in wood-density models.