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We reconstructed the ecological niche of the Badegoulian and assessed whether eco-cultural niche variability existed within this technocomplex.
One approach to incorporating niche variability into this model would be to treat the dietary proportions of each individual as independent Dirichlet distributions.
Newsome et al. [11] suggested using the products of isotopic linear mixing models (i.e., estimates of proportional contributions of prey) to calculate intra- and inter-population niche variability.
We apply this new approach to stable isotope data from a population of gray wolves from coastal British Columbia, and show support for extensive intra-population niche variability among individuals, social groups, and geographically isolated subpopulations.
Correlations between δN and δC values provide further resolution into individual niche variability.
Pearson's Correlation Coefficients were used to examine the relationships between δN and δC within trophic groups at different sites to investigate the individual niche variability.
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Seemingly, other factors such as historical or chance events, niche dispersion, genetic variability, or behavioral shifts are more significant than genome size in determining the current distribution of colonizing species (Markow and O'Grady 2008).
Nonetheless, more rigorous tests and associations between ecological niche spectrum, phenotypic variability and selection within these butterflies are needed to give the adequate weight to abiotic factors (geographic and climatic) and niche specializations in the observed burst followed by a slowdown in diversification rates.
We applied this modeling approach to a coastal population of gray wolves with multiple levels of population structure (e.g., individual, pack, region), and found that individual dietary variability drives niche width expansion on islands.
Although we found compelling evidence for resource use tradeoffs with antibiotic inhibition and cumulative resistance capacity, there was substantial variability in niche width and growth efficiency among Streptomyces with different antibiotic inhibition and resistance phenotypes.
Though all field-grown plants show a core community of the same bacterial orders, we assume the local soil niche determines the overall variability in the composition of the root-associated bacterial communities.
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