Sentence examples for multiple environmental variables from inspiring English sources

Importantly, multiple environmental variables can be manipulated simultaneously in the model to explore earthworm population exposure and effects to combinations of stressors.

Although students were able to correctly define fitness as being a measure of reproductive potential, they appeared to have difficulty thinking of fitness as a relative property that varies as a function of multiple environmental variables.

The finding that food availability supersedes body temperature in determining metabolic status highlights the importance of considering small-scale spatial and temporal variation in multiple environmental variables that might impinge upon physiological rates, particularly when conducting large-scale surveys.

Alternatively in a model-linked approach, a model is calibrated to link field plot-estimated carbon stocks with multiple environmental variables at the location of the plots (or an intermediate remote sensing product such as LiDAR tree height), and the model applied to the entirety of the dataset for which there is no field data (or intermediate data product).

In CCA, regression analysis is used to find the best possible relationship between multiple environmental variables and multivariate community response data, assuming key environmental variables have been measured and the community response is unimodal in relation to these variables.

Previous studies have documented the utility of these models based on disease occurrence locations and multiple environmental variables: e.g., filovirus and monkeypox infections and malaria vectors in Africa [16] [18], Chagas disease in Mexico [19], and leishmaniasis in South America [20].

Multiple environmental variable models included demographics and three environmental variables [ergosterol, endotoxin, and total fungi (total fungi models) or hydrophilic fungi (hydrophilic fungi models)].

GAMs with nonlinear spline smoothing functions did not provide evidence of nonlinear relationships; that is, the log odds (logit) of respiratory illnesses in all of these multiple environmental variable models increased linearly with increase of exposure.

In the total fungi models of the multiple environmental variable models, the magnitude of the IQR-ORs for the respiratory and epi-asthma cases associated with total culturable fungi was smaller than that for hydrophilic fungi in the hydrophilic fungi models.

It is important to recognize that ecological responses to multiple interacting environmental variables are highly dynamic and rarely linear across both space and time with natural processes characterized by thresholds and limiting functions [55], [56].

Most common diseases and many important quantitative traits are complex genetic traits, with multiple genetic and environmental variables contributing to the observed phenotype.