Sentence examples for population boundary from inspiring English sources

Because they do not depend on observation frequency, computed grain boundary energies are more reliable than the experimental energies for low population boundary types.

The two genetic clustering algorithms used as population boundary identification methods (DAPC and STRUCTURE) provided evidence of strong population structure across the current geographic range of Dallia consistent with biogeographic barriers such as the Bering Strait and mountain ranges.

According to our mapping criteria using one third of the suggested VISION 2020 target as a boundary to assess performance (see below), using IAPB CSR data instead would have reclassified only one country above or below the 500 surgeries per million population boundary.

Conversely, experiments can characterize high population boundaries that are not included in the computational study.

While neo-Darwinian theories focus on a "bourgeois" model of mating within well-defined population boundaries, as articulated by major figures like Ernst Mayr, the evidence increasingly tells us that evolutionary novelty comes from the more adventurous and improper ("bohemian") matings that are excluded in many conventional accounts.

Although humpback whales are among the best-studied of the large whales, population boundaries in the Southern Hemisphere (SH) have remained largely untested.

The estimate is consistent with those based on the advancement of population boundaries in coasts recently invaded by C. maenas [38] and on empirical observations on the strength of coastal currents.

Data on genetic structure and variability is key for the establishment of population boundaries and for monitoring populations under management [3], [5], [6], and integration of this data into management and conservation plans has been deemed essential for the appropriate establishment of connective corridors, conservation units and common nation protected areas [3], [6] [8].

However, in contrast to previous research that suggested no correlation between P. aeruginosa clones and diseases or environmental habitats [29], we found genotypes to be highly specific for the different patient groups with only a relatively small number of clones distributed across patient population boundaries.

Bayesian clustering methods were used to detect population subdivision without a priori assumptions on population boundaries.

Population boundaries were determined by mapping the presence of foraging workers on trees and shrubs.