Sentence examples for model habitats from inspiring English sources

Our exploratory research shows that by using controlled concentrations of pure synthetic compounds in model habitats, individual VOCs can be studied one by one, thereby isolating their distinct growth-promoting, growth-inhibiting and other physiological effects.

The up-scaling approach presented here resulted in a high resolution database of global seafloor conditions that could be used to model habitats for numerous deep-sea species.

We hypothesized that we could distinguish between bioactive and inactive fungal vapors by using chemical standards of individual VOCs and then exposing plants to controlled concentrations in a model habitat.

We used an information theoretic multimodel inference and an algorithmic (random forests) approach to model habitat for each species based on local and landscape characteristics.

For each of the 591 best known species, we used Maxent (version 2.3) [30] to model habitat suitability from the four climate variables.

The limited number of coral presence records used to model habitat distribution for some species highlights the need for more targeted sampling to document coral locations globally.

Similar methods have been used to assess pressures (Kuldna et al. 2009) and model habitat suitability (Lonsdorf et al. 2009) for pollinators.

While AT content, extreme halotolerance, oxygen requirement, and growth temperature were significant factors in the RR based regression model, habitat and pathogenicity were found to be significant in the YR-model.

In the HABITAT model, perfect habitat selection by dispersing females (a GOOD habitat is chosen F times more often than a POOR habitat), leads to an ideal free distribution of breeding females.

Figure 1 Two approaches for modeling habitat suitability: (a) correlative modeling, and (b) mechanistic modeling approaches (adopted from Kearney[2006]).

In some models habitat loss can increase bird extinctions caused by climate change by 50%.