Sentence examples for variability in population from inspiring English sources

Exact(25)

However, these studies do not reflect the reality that exposure to ENPs may be highly variable in both space and time, due to for example spatial variability in population density and temporal variability in river water discharge.

Casual observers are unlikely to notice an obvious drop in monarch numbers this spring, in part because of the natural variability in population size from year to year.

Most of the variability in population abundance was captured at the smaller spatial scales.

Variability in population dynamic processes and associated responses to fragmentation suggest that generalized rule of thumbs for management should be used with caution.

Finally, Hutchings demonstrated, fish show no greater variability in population size than birds or mammals, something which had also been believed to make them more resilient to extinction.

A linear relation between log variance and log mean (Taylor's law) described accurately and robustly how variability in population size changed with mean population size in P. fluorescens bacteria.

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Similar(35)

Fourth, a model-assisted approach may lend itself to use of the GAM, balancing the variability in population-level estimation with more conservative inference that takes advantage of the design-based properties of the sample (Opsomer et al. 2007; Næsset et al. 2016).

We used computer simulations to compare the ability of different mating systems to preserve genetic variability in populations undergoing selection.

Results so far reveal considerable year-to-year variability in populations of Leadbeater's Possum (Gymnobelideus leadbeateri), the Mountain Brushtail Possum (Trichosurus cunninghamii), and the Greater Glider (Petauroides volans).

Yet the absence of baseline data, even within relatively well-replicated studies, makes it challenging to separate management effects from natural variability in populations driven by seascape differences.

Based on a review of published observations describing average CD4 decline rates and variability in populations of untreated HIV-1 infected patients, we developed two decision rules aimed at guiding CD4 monitoring decisions [17].

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