What is a bat detector?
| Seeing in the Dark A background on bat echolocation Picking the "Right" Bat detector What is the Anabat? Why SonoBat Trounces Anabat |
A Constant Acoustic Feature to Identify Myotis Species Features to look for when reviewing calls Tuning in with a Bat Detector About Ziplines About Harmonics |
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Seeing in the Dark By M. Brock Fenton Bats perform at night many of the activities necessary for their survival, sometimes accomplishing the feat in total darkness. Without using their vision, many bats can find food and avoid obstacles with great ease. Man has long marvelled at this ability, but it remained a mystery until only recently. Lazarro Spallanzani, an Italian scientist in the late 1700s, provided the first insights on how bats operated in the dark. He put a bat and an owl in a semi-dark room and found that both could orient well in low light. The bat also flew effortlessly in complete darkness, but the owl bumped into objects in its flight path. When he placed a sack over the bat's head it, too, became disoriented. Spallanzani concluded that bats used a "sixth sense" to orient, but he was not satisfied that he had the answer. He shared his results with other scientists and encouraged them to conduct experiments of their own to solve the problem. Charles Jurine, a Swiss zoologist, added significant information by showing that blocking one of the bat's ears also prevented it from orienting. Spallanzani then devised new experiments, later concluding that bats could "see" with their ears, perhaps using sound. The idea seemed preposterous and was rejected by most of his colleagues. Spallanzani's conclusion remained an interesting, but untestable, hypothesis. It was not until 150 years later, in the 1930s, that Donald R. Griffin, then an undergraduate at Harvard University, went to work on Spallanzani's "bat problem." Using special microphones, Griffin showed that bats produce sounds above the human range of hearing. His discovery revealed that they use the echoes of these ultrasonic, high frequency calls to locate objects. He coined the term "echolocation" to describe this behavior, referring to the ability of bats to orient themselves by using the echoes of sounds they produce. Echolocation, the sonar "sight" of bats, is analogous to the sonar* used by the military. Because it is produced by living organisms rather than by machines, it is often called "biosonar." Although we most often associate echolocation with bats, other animals have also developed this sense. Toothed whales, porpoises, some species of shrews and tenrecs, oilbirds, and several species of swiftlets all use echolocation. It is also sometimes attributed to seals, rats, and humans, but the evidence for this is not conclusive. Contrary to popular belief, not all bats can echolocate, nor, as we shall see, do they all use the same approach to echolocation. The order to which bats belong, the Chiroptera, consists of two suborders, the Microchiroptera and the Megachiroptera. Microchiropterans typically are small insectivorous bats, are found worldwide, and have well-developed echolocation abilities. Nearly 70% of the world's bat species fall into this group. Megachiropteran bats are found only in the Old World tropics, are usually large-bodied, and feed on fruit, nectar, and pollen. They rely mainly on vision and olfaction to find food and are often referred to as flying foxes because many have dog-like faces. Most do not echolocate, although Egyptian fruit bats (Rousettus aegyptiacus) use echolocation to find their way in the caves where they roost. The elaborate facial ornamentations of some microchiropteran bats are thought to be associated with echolocation, but a direct relationship between the two is not always clear. Bat facial structures show enormous variation, ranging from small triangular shaped noseleaves, to spear-shapes, to convoluted labyrinths of folds and wrinkles. They abound in most of the Old World and New World leaf-nosed bats, horseshoe bats, and false vampire bats, but are absent in most north temperate bats--the species with which most of us are familiar. Research with the short-tailed fruit bat (Carollia perspicillata), a tropical New World species, reveals that the position and shape of its noseleaf affects the pattern of sound radiation from the bat. Not all vocalizations produced by bats are echolocation calls. The squeaks and squawks that bats make in their roosts do not fall into this category, nor do the calls that mother and young make to one another, or those that feeding bats make to defend their foraging territories. To echolocate, a bat must produce a particular type of sound and be able to hear and use the echoes that rebound from objects in its path. An echolocating bat registers each outgoing sound pulse and compares the originals to returning echoes. The time lapsed between generating the outgoing sound and receiving an incoming echo provides an accurate assessment of a target's distance from the bat. Changes in the amplitude (intensity) and frequency (pitch) of the outgoing sound provide data about the nature of the target (e.g., size, shape, surface structure, velocity, etc.). All microchiropteran bats produce echolocation calls using vocal cords in their voice boxes, or larynges. In contrast, echolocating Egyptian fruit bats make echolocation sounds by clicking their tongues. Different species broadcast calls in different ways, some emitting calls from the mouth and others through their nostrils. Oral emitters fly with their mouths open, and nasal emitters fly with their mouths closed. Remarkably, both kinds of bats can chew food and vocalize at the same time. Incoming sounds, including echoes, are collected by the bat's external ears, or pinnae, before they are funnelled into the rest of a bat's hearing system. The great variation in bat ear design reflects differences in sound-collecting ability and the requirements of different species, and this in turn reveals something about the diversity of bat echolocation strategies. Processing information from returning echoes involves an overwhelming array of complex operations in a bat's brain. In this respect, bats are biotechnical marvels, and not surprisingly, the subject of considerable study by biologists, medical doctors, the U.S. military, and others interested in the study of how animals hear. The military alone spends hundreds of thousands of dollars each year to study echolocation in bats and marine mammals. The echolocation calls of bats can be classified in several ways. Although the calls of most are not audible to the human ear, the loudness of bat echolocation calls can still be measured. This is expressed in decibels (dB), and for comparison is usually measured at a fixed distance from a bat's mouth (at 10 centimeters or about four inches). Intense echolocation calls measure 110 dB or more (equivalent in strength to a smoke detector alarm). Faint echolocation calls measure as little as 60 dB (the intensity level of a normal human conversation). Little brown bats (Myotis lucifugus) and big brown bats (Eptesicus fuscus) are examples of high intensity, or "shouting," echolocators, while northern long-eared bats (Myotis septentrionalis) or common vampires (Desmodus rotundus) are examples of low intensity, or "whispering," bats. In many cases, call intensity is related to foraging habitat. Bats that feed in open spaces produce the most intense calls. In contrast, those that forage in cluttered are as, such as deep in a forest, usually produce lower intensity calls. If some bats produce sounds equivalent in strength to a smoke alarm, why then can we not hear bat echolocation? The answer lies in the frequency or pitch at which the calls are produced. Frequency is measured in kilohertz (kHz). Humans hear sounds ranging up to 20 kHz, while most bats use a broader range (from about 9 kHz to 200+ kHz). Most bat echolocation calls are high in frequency, well beyond the range of human hearing, but we can hear the echolocation calls of some species. Spotted bats (Euderma maculatum), for example, produce calls that cover frequencies from 9 kHz to 15 kHz. Like the calls of many free-tailed (Tadarida spp.) and sheath-tailed bats (e.g. Old World Taphozous spp.), they are clearly audible to us. Most echolocating bats do not produce calls at a constant frequency (CF). Calls usually start at one frequency and sweep down to another (frequency modulated, or FM, calls). In some cases, bat calls have both a CF and an FM component. The FM portion of a call provides a bat with information about the texture of an insect target and its position in horizontal and vertical space, while the CF component relays information about the insect's velocity. Harmonics or overtones, which are multiples of the sound frequencies used by the bat, further assist in pinpointing the insect's location. Calls that span many frequencies are called broadband and are typical of the many microchiropterans that hunt flying insects in uncluttered open spaces. Narrowband calls, as the name implies, cover a narrower frequency range, focusing a lot of energy within a small range of frequencies. According to engineers studying call design, echoes from broadband signals provide an echolocator with the most detailed information about its target. These different types of echolocation calls provide bats with different information. Low frequency, narrowband calls increase a bat's detection range, but because lower frequencies have longer wavelengths, they provide less detail about a target. The advantage is that they increase the echolocation signal's effective range. To obtain complete information about a target's distance and about the target itself, bats often switch from narrowband to broadband signals as they detect and close in on their prey. Flexibility in call design is directly related to flexibility in hunting behavior. Bats that prey on airborne insects in open areas face a relatively straight-forward problem. They must find, follow, and evaluate hard targets moving against a soft background (the air). In contrast, species that hunt prey near or on vegetation have a more complex acoustical environment to cope with. Surface-gleaning bats therefore use different echolocation call types than bats that take insects from the air. The calls of gleaners are shorter, more broadband, and lower in intensity than those of bats that hunt airborne prey. Some bats combine both foraging tactics, but others are more limited in their flexibility and therefore are more restricted in their hunting repertoires. Echolocation allows bats to evaluate targets with precision. Despite this, it has serious drawbacks for animals that operate in the air. Air absorbs, or attenuates, the energy contained in sound waves. High frequency sounds have relatively short wavelengths and are much more vulnerable to atmospheric attenuation than are those of low frequency, which have long wavelengths. The booming bass of a stereo illustrates how low-frequency sound can carry for considerable distance (much more so, for example, than the high frequency sound of a flute). Atmospheric absorption reduces the operational range of echolocation in air and appears to limit its effectiveness to a maximum of about 50 feet. Only the few bat species that emit very low frequency echolocation calls are able to reach even this distance. Laboratory studies with big brown bats (covering frequencies of 60-30 kHz), have shown that these animals are quite "near-sighted," first detecting a 3/4-inch sphere at about 16 feet. The length of each echolocation call, and the rate at which they are produced, changes according to the situation. Calls can be relatively long, up to 50 milliseconds (ms, or thousandths of a second), or very short (less than one ms long). A bat searching for an insect typically produces longer calls than one going in for a kill. For example, when a red bat (Lasiurus borealis) is looking for insects (the search phase), it produces calls 8-12 ms long, averaging about 10 calls per second. As it zeroes in on a target (the approach phase), it shortens the length of its calls as well as the interval between them. In the terminal phase of an attack, right before a bat makes its kill, calls are only one or two ms long and are produced in a rapid volley of about 200 per second. Electronic devices called bat detectors allow the human ear to perceive these various components of a bat's echolocation bouts (see "Tuning in with a bat detector," ). When a long, narrowband echolocation call strikes the body of an insect that is beating its wings, the returning echoes reflect a rhythmic, but constant, pattern. When the insect's wings are at the top or bottom of a wingstroke, for example, they reflect sound from a larger surface than when they are in a horizontal position. The ability to distinguish the flutter patterns of flying insects is well developed in bats using constant frequency echolocation calls. Included in this group are horseshoe bats (Rhinolophus spp.), Old World leaf-nosed bats (Hipposideros spp.), and Parnell's mustached bat (Pteronotus parnelli). There are about 120 species of Rhinolophus and Hipposideros, which live only in the Old World. In the New World, Parnell's moustached bat is unique in using this CF approach to echolocation. Structures within the ears of these bats, and accompanying concentrations of nerve cells, tune their auditory systems to very narrow and specific frequencies. Although they can hear many other frequencies, this specialization gives them great powers of resolution at the frequencies with which they hunt. For bats calling at a constant frequency, the Doppler effect (a phenomenon produced as objects move toward or away from each other) provides a significant potential source for error. The auditory specializations of Rhinolophus, Hipposideros, and Pteronotus allow them to actually exploit the Doppler-shifted echoes from their fluttering targets, giving them an excellent way to find flying insects. The most thoroughly studied echolocating bats are those preying on flying insects. But bats that hunt non-flying animal prey use echolocation for more than just locating or assessing potential food items. Central America's frog-eating bat (Trachops cirrhosus) is one species that does this. Merlin Tuttle and Michael Ryan demonstrated that these bats use frog calls to find and identify their prey whether the frog is sitting in water or on land. Frog-eating bats produce echolocation calls when they approach their target, yet they can be fooled into attacking a speaker playing frog calls. Surely if the bat were using echolocation to collect information about its target, it would not make such a mistake. Biologists presume that frog-eating bats, like many other species, use echolocation to find out about the surrounding background, rather than to locate and assess their targets. So echolocation is invaluable in pinpointing a potential meal or gaining information about the surrounding landscape. But it also has its drawbacks. The high intensity of echolocation calls and the large number of calls produced advertise a bat's presence, making them conspicuous to potential prey. It is not surprising, therefore, to find that many insects have ears that are sensitive to bat echolocation calls. This anti-bat system provides early warning of an approaching peril. As a countermeasure, bats, such as pallid bats (Antrozous pallidus), California leaf-nosed bats (Macrotus californicus), and Indian false vampire bats (Megaderma lyra), use foraging strategies that avoid echolocation call production when other sources of information are available. Macrotus and Megaderma, for example, have excellent vision and can use this to locate and identify their targets whenever there is enough light. This is a small sampling of what we have learned about the echolocation abilities of bats since Spallanzani began to unravel the mystery of how bats are able to "see" with their ears. The more we learn about these animals, the more they continue to amaze and intrigue us with the many and varied ways in which they accomplish their remarkable sensory feats. We have come a long way, but there is still much to learn before we completely understand the phenomenon of echolocation. M. Brock Fenton is chairman of biology at York University in Toronto, Canada. He is also a member of BCI's Scientific Advisory Board. Fenton has studied and taught bat echolocation for 20 years. *an acronym for Sound Navigation Ranging |
Picking the "right" bat detector - time expansion versus zero-crossing M. Brock Fenton, CBCB, Royal Ontario Museum, Toronto, Ontario, Canada Direct comparisons revealed that a bat detecting system using zero-crossing period meter analysis (the Anabat II Bat Detector with Anabat ZCAIM module and Anabat 6 software) was significantly less sensitive to bat echolocation calls than time-expansion bat detecting systems. One time expansion system involved recording the high frequency output of a QMC S200 Detector to a Racal Instrumentation tape recorder operated at 30 inches per second, with analysis of slowed down recordings by Canary®. The other time expansion system was a Pettersson D980 bat detector with digitally time expanded output recorded on a SONY DCD 100 dat recorder and analysed by Bat Sound Pro®. In a variety of field settings, the time-expansion systems always recorded significantly more echolocation calls than the zero-crossing period meter system. Furthermore, under laboratory and field conditions, the zero-crossing period meter analysis presented significantly different pictures of frequency and time features of echolocation calls, including highest and lowest frequencies in the calls (kHz) and call durations (ms). The differences in performance between the two kinds of systems reflect the fact that to pure tone frequencies of 20, 30, 40 and 60 kHz, the threshold for signal detection by the Anabat system was 19 dB (SPL A @ 4 cm) higher than for either time expansion system. These results mean that zero-crossing systems should not be used to characterize the echolocation calls of bats and that they are of limited value in studies of distribution and habitat use.
What is the Anabat? Chris Corben's Anabat system popularized this method for analyzing bat calls. Chris deserves considerable praise for advancing the endeavor of acoustic recognition of bats. In fact, Chris accomplished a programming tour de force to enable Anabat to operate successfully on pre-Pentium laptops. Sounds, and other vibrations, oscillate around an equilibrium, or zero point. Zero-crossing is a speedy algorithm for extracting the primary frequency information from such an oscillating signal. To enable its speed, the zero-crossing algorithm only keeps track of when a signal crosses the zero position. However, this speed comes at the sacrifice of information as zero-crossing disregards the magnitude of the oscillation (amplitude), and any other smaller magnitude oscillations that do not reach the zero position, e.g. harmonics.
Why SonoBat trounces Anabat Low-resolution sonograms, as processed by zero-crossing devices such as the Anabat, discard amplitude and harmonic information, and only display the sound component with the greatest amplitude (typically, but not always, the fundamental). When processed in this way, identical notes played by a piano and a violin appear indistinguishable. However, the characteristics that make them sound different to our ears are contained in the amplitude and harmonics, and high-resolution sonogram processing reveals those characteristics. Note how the maximum amplitude (displayed as red) occurs at the beginning of the piano note, after the hammer strikes the string, then the amplitude trails off. For the violin, the maximum amplitude occurs in the middle of the note, and the harmonics are richer and more pronounced. Just as in this example, bats also vary the amplitude allocation and harmonic structure of within their calls. High-resolution sonograms processed with SonoBat software can reveal those attributes and aid in discriminating species and other subtle differences of bat echolocation calls. And SonoBat makes it easy to do this with an intuitive point and click interface. Until recently, high-resolution full spectrum acoustic analysis has remained out of reach to most users because of the high-end hardware requirements. However, today's generation of Pentium® laptops and G3/G4 PowerBooks® with multi-gigabyte hard drives and high RAM capacities bring the potential of high-end acoustic processing to a wider audience. And SonoBat makes it a reality. It is no longer necessary to sacrifice essential acoustic information to enable smaller file sizes and avoid crippling a CPU.
A consistent acoustic feature to discriminate Myotis species Joseph M. Szewczak University of California White Mountain Research Station, Bishop, California Acoustic species recognition of many bats has focused on the terminal, or minimum frequency of calls. For example, with this method a Myotis californicus is described as a 50-kHz bat, and a M. ciliolabrum as a 40-kHz bat. However, high-resolution full-spectrum sonograms of calls from these bats reveal that the terminal portion of these calls consists of a downward hooked tail that fades in amplitude, and thus the minimum detected frequency can vary considerably according to the orientation and distance of the bat from the detector. For 151 M. californicus calls analyzed from 18 sequences recorded from four locations, the average minimum apparent frequency was 43.5 kHz with a range of 35.448.4 kHz. For 86 M. ciliolabrum calls analyzed from 11 sequences recorded from five locations, the average minimum apparent frequency was 34.8 kHz with a range of 29.740.9 kHz [view plot]. The substantial overlap of the minimum apparent frequency from these two species raises concern regarding the use of this characteristic for species discrimination. For this data set, 13.9% of M. californicus calls overlapped within the range of M. ciliolabrum calls, while 34.9% of M. ciliolabrum calls overlapped within the range of M. californicus calls. This suggests that recordings within the overlapping range (21.5% of all calls) should be rejected as ambiguous. However, high-resolution sonograms reveal a separate, more consistent distinguishing characteristic. For many Myotid calls, the terminal tail is preceded by a frequency modulated sweep of greater amplitude that is consistently resolved by ultrasonic recordings, even if the terminal tail is not. The frequency at which this sweep turns down to the tail, herein termed the "lower characteristic frequency," is a consistent morphological characteristic of these calls, and is not prone to variation from recording sensitivity. For the same calls described above, the lower characteristic frequency for M. californicus averaged 50.3 kHz with a range of 46.253.3 kHz, and for M. ciliolabrum averaged 41.8 kHz with a range of 38.644.7 kHz [view plot]. Thus, while the apparent minimum frequency ranges overlapped by 5.4 kHz, the lowest characteristic frequency ranges were separated by 1.5 kHz. By using the lower characteristic frequency, calls from these species can be readily and unambiguously recognized. Furthermore, many other Myotids exhibit this characteristic, suggesting a general approach for acoustic Myotid recognition.
Tuning in with a bat detector By M. Brock Fenton The echolocation calls of most bat species are beyond the range of human hearing. A bat detector, however, can make these signals audible to humans. High intensity echolocation calls are especially conspicuous, providing people with an excellent way of "eavesdropping" on bats. A bat detector microphone is sensitive to sound beyond the range of human hearing. The circuitry within the detector converts the input into signals audible to our ears and broadcasts it over a small speaker. Human beings are exceptional among mammals because they cannot hear a broad range of high frequency sounds. Like birds, reptiles, and amphibians, humans hear best at frequencies below five kilohertz (kHz); most of our conversations are conducted below three kHz. A bat detector permits you to eavesdrop on sounds in the 10 kHz to 200 kHz range, including those of other mammals and many insects. In addition to being important research tools, bat detectors are also an excellent way to introduce people to bats during interpretive programs. Many bat enthusiasts use them for sheer enjoyment as well. With a bat detector, you can collect information about two aspects of animal sounds--the frequencies of the calls and the rates at which they are produced. By listening carefully, you also can gain information about the amount of energy the calls contain at different frequencies. On a typical summer evening in many North American cities, you will hear bat echolocation calls when you tune the instrument to between 25 kHz and 60 kHz. In many areas, the bats producing these signals will be big brown bats (Eptesicus fuscus), a common species. These bats typically produce echolocation calls lasting from five to 10 milliseconds (ms=thousandths of a second). As you listen, notice that the rate at which bats are producing their calls varies according to the situation. A big brown bat cruising along and looking for an insect produces a call every 50-100 ms (10-20 calls per second), but as it approaches its target it increases its call rate to 200 per ms, reducing the time between calls to about five ms. These high-pulse repetition rates occur either when the bat attacks an insect (a "feeding buzz"), or when it approaches an obstacle (a "landing buzz"). As the bat closes in on its target, notice how it shortens its individual calls. If you are listening in on 30 kHz, for example, the sound will change from a "putt" to a "click," reflecting the shorter calls and relative amounts of energy used at different frequencies. Watching bats and insects around a bright streetlight will yield even more information, because you will be able to associate the bat's behavior with its calls. Watch as it chases a moth. Listen to the difference in the signals as it approaches, and then catches, its prey. Now close your eyes and listen. Chances are you will know what the bat is doing merely by the repetition rate of its calls. Not all bat species will sound the same, and when you become proficient, you can often identify a species by the tone of its call, just as bird watchers identify birds by their songs. The degree of resolution depends on the bats, but in many places in North America, a bat detector giving tone-like chirps at 40 kHz signals a red bat (Lasiurus borealis), a tree-roosting species. Tick-like sounds at 40 kHz suggest a Myotis, a common genus that includes one of our most abundant bats, the little brown bat (Myotis lucifugus). Tone-like chirps at 20 kHz usually indicate a hoary bat (Lasiurus cinereus), another tree-rooster. Echolocation is clearly one of the most fascinating aspects of the biology and behavior of bats. If you want the thrill of listening in, get a bat detector, find a light with a lot of insect activity, and tune in on the action! You will be richly rewarded. With the aid of a bat detector, a bat's ultrasonic echolocation calls become audible to the human ear. This sonogram illustrates the timing and sequence of calls produced by a big brown bat as it searchs for, detects, and attacks a flying June beetle. Each call starts at a higher frequency and sweeps to a lower one. Note that as the bat closes in on its prey, it produces shorter calls at a more rapid rate, terminating in what is called a "feeding buzz." The entire sequence lasts less than a half a second. Reprint from BATS Magazine Volume 9, No. 2. Summer 1991: 9-13
About Zip lines Szewczak, J.M. (2000) A tethered zip-line arrangement for reliably collecting bat echolocation reference calls. Bat Research News, 41:142.
About Harmonics All physical things vibrate at higher modes of vibration than their most basic mode, or fundamental. It is nearly impossible to vibrate an object in only one mode; we can electronically synthesize sounds generated from such a single mode of vibration, but they will sound unnatural. Although all things vibrate in more than one mode, there will be differences in the relative strength of the modes. Some bats can constrain the fundamental to shift the dominant power into the second harmonic. When humans do this to their voice we call it yodeling. For most bats, the harmonics above the fundamental will be of lower amplitude than the fundamental, and their presence will signify a high quality recording, in which the bat passed close to the detector. With a recording of this quality, you can be sure that you are not missing important details of the call structure. One large caveat: harmonics can also occur as an artifact of overloading the signal, either at the detector or when downloading to the computer (saturation). Saturated calls are those in which the signal level exceeded the maximal recording level. You can tell if you have real or artifactual harmonics by reprocessing the file with no filter or preemphasis. A saturated signal will display a flat top in its oscillogram trace (such as a signal is said to be clipped). Saturated calls will often produce alias harmonics, too. Overloaded calls can often still yield usable information, but do not be confused by the spurious artificial call components in their sonogram rendering. In any given pass, the loudest recorded calls may become saturated, but may have strong but unsaturated calls before and after the saturated ones with ideal signal level. Bottom line: for most bats, harmonics will just reflect the time-frequency relationship of the fundamental, albeit at 2x, 3x, etc. the frequency of the fundamental. This doubling (for the 2nd harmonic) or tripling (for the 3rd harmonic) can also be helpful for discerning ending details of a call because minor changes in slope in the fundamental will be magnified in the harmonics. Some bats can mimic other bats if signal processing only reveals the component with the dominant power (e.g., zero-crossing). For example, Macrotus californicus will often put all their power in the second harmonic, and look just like a Myotis californicus if you can't see the fainter first harmonic. In some areas you might find some consistent features between your bats that show up in the harmonics, but be mindful that the strength and presence of the harmonics depends upon how close the bat passes by your detector, and that is difficult to control. |
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