Abstract:SummaryDuty cycle describes the relative ʻon timeʼ of a periodic signal. In bats, we argue that high duty cycle (HDC) echolocation was selected for and evolved from low duty cycle (LDC) echolocation because increasing call duty cycle enhanced the ability of echolocating bats to detect, lock onto and track fluttering insects. Most echolocators (most bats and all birds and odontocete cetaceans) use LDC echolocation, separating pulse and echo in time to avoid forward masking. They emit short duration, broadband, … Show more
“…Ticks indicate superfamilies in which all species are laryngeal echolocators, crosses indicate a lack of laryngeal echolocation. Adapted from Teeling (2009), Fenton and and Fenton et al (2012). mya, million years ago.…”
Section: Anti-predator Adaptations the Evolutionary Origins Of Bat-dementioning
Echolocation in bats and high-frequency hearing in their insect prey make bats and insects an ideal system for studying the sensory ecology and neuroethology of predator-prey interactions. Here, we review the evolutionary history of bats and eared insects, focusing on the insect order Lepidoptera, and consider the evidence for antipredator adaptations and predator counter-adaptations. Ears evolved in a remarkable number of body locations across insects, with the original selection pressure for ears differing between groups. Although cause and effect are difficult to determine, correlations between hearing and life history strategies in moths provide evidence for how these two variables influence each other. We consider life history variables such as size, sex, circadian and seasonal activity patterns, geographic range and the composition of sympatric bat communities. We also review hypotheses on the neural basis for antipredator behaviours (such as evasive flight and sound production) in moths. It is assumed that these prey adaptations would select for counter-adaptations in predatory bats. We suggest two levels of support for classifying bat traits as counter-adaptations: traits that allow bats to eat more eared prey than expected based on their availability in the environment provide a low level of support for counter-adaptations, whereas traits that have no other plausible explanation for their origination and maintenance than capturing defended prey constitute a high level of support. Specific predator counter-adaptations include calling at frequencies outside the sensitivity range of most eared prey, changing the pattern and frequency of echolocation calls during prey pursuit, and quiet, or 'stealth', echolocation.
“…Ticks indicate superfamilies in which all species are laryngeal echolocators, crosses indicate a lack of laryngeal echolocation. Adapted from Teeling (2009), Fenton and and Fenton et al (2012). mya, million years ago.…”
Section: Anti-predator Adaptations the Evolutionary Origins Of Bat-dementioning
Echolocation in bats and high-frequency hearing in their insect prey make bats and insects an ideal system for studying the sensory ecology and neuroethology of predator-prey interactions. Here, we review the evolutionary history of bats and eared insects, focusing on the insect order Lepidoptera, and consider the evidence for antipredator adaptations and predator counter-adaptations. Ears evolved in a remarkable number of body locations across insects, with the original selection pressure for ears differing between groups. Although cause and effect are difficult to determine, correlations between hearing and life history strategies in moths provide evidence for how these two variables influence each other. We consider life history variables such as size, sex, circadian and seasonal activity patterns, geographic range and the composition of sympatric bat communities. We also review hypotheses on the neural basis for antipredator behaviours (such as evasive flight and sound production) in moths. It is assumed that these prey adaptations would select for counter-adaptations in predatory bats. We suggest two levels of support for classifying bat traits as counter-adaptations: traits that allow bats to eat more eared prey than expected based on their availability in the environment provide a low level of support for counter-adaptations, whereas traits that have no other plausible explanation for their origination and maintenance than capturing defended prey constitute a high level of support. Specific predator counter-adaptations include calling at frequencies outside the sensitivity range of most eared prey, changing the pattern and frequency of echolocation calls during prey pursuit, and quiet, or 'stealth', echolocation.
“…Even in high duty cycle echolocators such as P. parnellii, during search flight, the interval between FM components of two consecutive biosonar calls is above 30 ms (see example search calls of P. parnellii in ref. 31). This interpulse interval is long enough to accommodate echoes from targets located as far as 5 m from each other, without any interference from echoes from the next emission.…”
Echolocating bats use the time from biosonar pulse emission to the arrival of echo (defined as echo delay) to calculate the space depth of targets. In the dorsal auditory cortex of several species, neurons that encode increasing echo delays are organized rostrocaudally in a topographic arrangement defined as chronotopy. Precise chronotopy could be important for precise target-distance computations. Here we show that in the cortex of three echolocating bat species (Pteronotus quadridens, Pteronotus parnellii and Carollia perspicillata), chronotopy is not precise but blurry. In all three species, neurons throughout the chronotopic map are driven by short echo delays that indicate the presence of close targets and the robustness of map organization depends on the parameter of the receptive field used to characterize neuronal tuning. The timing of cortical responses (latency and duration) provides a binding code that could be important for assembling acoustic scenes using echo delay information from objects with different space depths.
“…The noise-dependent changes in the spectro-temporal composition of echolocation calls, however, could significantly affect the bat's ability to detect and locate targets. Horseshoe bats use the CF component to detect the frequency modulations produced by wing beats of insect prey (reviewed by Schnitzler and Denzinger, 2011;Fenton et al, 2012). In contrast, they use FM components to determine target distance and location (Schnitzler, 1968).…”
Section: Short Communicationmentioning
confidence: 99%
“…Nevertheless, only further tests will reveal whether noise-induced changes in echolocation calls indeed affect echolocation performance. Furthermore, it remains to be seen whether noiseinduced spectrotemporal changes in echolocation calls also occur in bats that produce brief FM calls with low repetition rates, so-called low duty cycle echolocators (Fenton et al, 2012), and how it affects their echolocation performance. Preliminary evidence suggests that, at least in free-tailed bats, masking noise may have some effect on echolocation call structure (Tressler and Smotherman, 2009).…”
Section: Short Communicationmentioning
confidence: 99%
“…1A). During echolocation, FM portions serve in measuring target distance and location (Schnitzler, 1968), whereas the long CF components enable the bats to detect the rhythmic frequency modulations caused by the wing beats of flying insect prey (reviewed by Schnitzler and Denzinger, 2011;Fenton et al, 2012). During flight, the CF components of the echoes increase as a result of Doppler effects.…”
One of the most efficient mechanisms to optimize signal-to-noise ratios is the Lombard effect -an involuntary rise in call amplitude due to ambient noise. It is often accompanied by changes in the spectrotemporal composition of calls. We examined the effects of broadband-filtered noise on the spectro-temporal composition of horseshoe bat echolocation calls, which consist of a constantfrequency component and initial and terminal frequency-modulated components. We found that the frequency-modulated components became larger for almost all noise conditions, whereas the bandwidth of the constant-frequency component increased only when broadband-filtered noise was centered on or above the calls' dominant or fundamental frequency. This indicates that ambient noise independently modifies the associated acoustic parameters of the Lombard effect, such as spectro-temporal features, and could significantly affect the bat's ability to detect and locate targets. Our findings may be of significance in evaluating the impact of environmental noise on echolocation behavior in bats.
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