Sentence examples for detection by humans of from inspiring English sources

We used Spearman rank correlation analysis to test if relative morph frequencies in natural populations were negatively correlated with rates of detection by humans of images on computer screens.

We therefore compare rates of detection by humans of images of black, striped and grey grasshoppers presented on computer screens with independent estimates of capture and survival probabilities for the same three colour patterns obtained from a previous capture-mark-recapture study of a natural T. subulata population [ 29].

Overall, relative frequencies of the striped, black and grey morphs in natural populations were negatively correlated with rates of detection by humans of images of the corresponding morphs presented on computer screens against natural visual backgrounds (rs = −0.71, n = 9, p = 0.032; Figure  5).

Tsurui et al. [ 17] reported different detection rates by humans of Tetrix japonica pygmy grasshopper colour morphs against grass and sand backgrounds, but there was no indication in their study that morphs were more common in those habitat types in which they were most cryptic.

Yet, few attempts have been made to confirm that rates of detection by humans can predict patterns of selection and evolutionary modifications of prey colour patterns in nature.

Yet, no study has systematically evaluated the underlying assumptions [ 27], or confirmed the conjecture that rates of detection by humans can reliably predict and explain patterns of selection under natural conditions in the wild and evolutionary modifications of camouflaged prey colour patterns in nature.

Finally, we evaluate whether rates of detection by humans can be used to predict and explain evolutionary modifications of relative frequencies of pygmy grasshopper colour morphs in different habitat types in the wild.

Nevertheless, the results of the present study demonstrate the phenomenon of variability in such rapid snake detection by humans according to the postural variations of snakes to which the humans are exposed.

Rates of detection mirrored previously reported rates of capture by humans of free-ranging grasshoppers, as well as morph specific survival in the wild.

Mathewson et al. (2009) and Busch et al. (2009) reported that the performance of visual stimulus detection by human subjects is dependent on the timing of the stimulus presentation in relation to the phase of ongoing alpha band oscillations found in electroencephalography signals.

The small size of the intended targets and the proven possibility of visual detection by human operator led us to select an infrared video imager as our sensor of choice.