Sentence examples for numerous environmental variables from inspiring English sources

In this paper, we are trying to advance the application of CA in modeling wildfires by accounting for the fuzziness intrinsic to the numerous environmental variables and mechanisms engaged with the emergence of the phenomenon itself.

In our study, jackknife analysis revealed that numerous environmental variables made at least a small contribution to overall model development and that composite vegetation indices from late June through mid-September had the largest impact.

In wild, numerous environmental variables can modify life-histories in ways that are not accounted for in the modelling studies.

Canonical correspondence analysis is a direct ordination technique that analyzes and presents such relationships between many species and numerous environmental variables.

Altitudinal gradients provide substantial changes in numerous environmental variables, which also include atmospheric pressure, temperature, clear-sky turbidity, UV-B radiation, and humidity.

Here, we used single-nucleotide polymorphism genotyping and data on numerous environmental variables to describe the genetic basis of local adaptation in 21 populations of teosinte, the wild ancestor of maize.

Thus, while TRPV3 gain-of-function mutations can profoundly impact skin homeostasis and inflammation, the precise phenotype achieved appears subject to numerous endogenous and environmental variables.

They are capable of detecting interactions among numerous single-nucleotide polymorphisms and environmental variables for a diverse range of GEI models.

Technological advances in satellite remote sensing have offered a variety of techniques for estimating surface soil water content as a key variable in numerous environmental studies.

Despite numerous ecological studies and recent evidence of declines in paedomorphic populations, however, no attempt to model environmental variables that explain the presence of paedomorphs has been made at a multi-scale level.

Thus, while single-species models produced robust predictive regressions using environmental variables, this approach often did not improve prediction of C in the landscape because of the numerous species involved.