The phrase "adaptive influences" is correct and usable in written English.
It can be used in contexts discussing how certain factors or changes can affect behavior, development, or systems in a flexible manner.
Example: "The study examined the adaptive influences of environmental changes on species survival."
Alternatives: "responsive factors" or "flexible impacts".
Recent studies of P. falciparum demonstrated the widespread prevalence of CNVs in populations and their likely adaptive influence on important traits such as drug resistance [ 75, 76].
If correlations between loci and physical variables are indicative of an adaptive influence (Bonin et al. 2009), they are not necessarily representative of direct causal relationships (e.g., selection for specific phenotypes).
Others view any allusion to potential non-adaptive influences on trait evolution to be mistaken; in their view, the importance of phylogenetic methods is that they help reveal complete history of natural selection on the trait (Grafen 1989).
Adaptive evolution influences population dynamics and sometimes allows evolutionary rescue.
We take advantage of the transparency of the Avida system to explore this result, and we examine how the ruggedness of the adaptive landscape influences the evolution of these two traits.
Instead, we suggest that coloration differences are more likely to reflect heritable divergence because coloration is a key adaptive trait influencing predation risk [55], [56] and potentially mating success [57], [58].
How might adaptive gradients influence the effectiveness of translocations?
This suggests that population acclimatization and adaptive capacity influenced risk.
Thus there must be other age related factors such as lens scatter and/or adaptive processes influencing the ipRGC mediated pupil response enhancement observed with advancing age.
This can be explained by Prochaska and DiClimente [ 26], who stress that a person can be more or less adaptive and influenced to make a change depending on where they are in the process of change.
By taking advantage of the transparency of the evolutionary process in digital organisms, we demonstrated how the shape of the underlying adaptive landscape influenced the evolutionary trajectories of these populations, leading to either the maintenance or loss of the genetically integrated traits.
