More generally, our results encourage further investigation of the relationship between demography and trait genetic architecture in other populations, as has been suggested for humans (Lohmueller, 2014) but could also be profitably extended to nonhuman model systems.
Nonetheless it remains unclear what the roles of species-specific traits, demography, life history, and other biological factors play on the asynchronous phenology of these forest types.
This offers a plausible working hypothesis towards solving the apparent paradox between observations of important regional variation in life-history traits, demography, and ecology on the one hand and on the other hand, evidence for the existence of a single, randomly mating population in Atlantic eel.
Using posterior means derived from these Bayesian models we build a broader likelihood model to predict growth and survival of all species under a range of environmental and ontogenetic conditions, to identify relationships between traits and demography, and quantify the role of environmental and ontogenetic context.
In addition to the primary modules that are used to specify demography, mutation, recombination, quantitative traits, fitness and reported output, there are several building block modules that provide basic functionality to the primary modules.
Relying on a validated multilevel theoretical model of workplace mental health determinants, 34 35 our study is built around a dynamic analysis of worker health that considers living environment diversity (eg, workplace, family, social networks) and individual characteristics (eg, demography, health status, personality traits, lifestyle, stressful childhood events).
A common difficulty when interpreting phenotypic change is the interplay between demography, phenotypic plasticity, and evolutionary trait change.
The genome of Bivalves is known to harbor a large number of microsatellites [ 28], that can be useful for as markers for different kinds of studies such as population genetic structure, demography, selective breeding and quantitative trait loci studies in clam [ 29].
The difference between humans and chimpanzees therefore most probably depends on other traits rather than demography.
The two species have contrasting patterns of life-history traits and current demography.
