Animal echolocation

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Echolocation, also called Biosonar, is the biological sonar used by several animals such as dolphins, shrews, most bats, and most whales. The term was coined by Donald Griffin, who was the first to conclusively demonstrate its existence in bats. Two bird groups also employ this system for navigating through caves, the so called cave swiftlets in the genus Aerodramus (formerly Collocalia) and the unrelated Oilbird Steatornis caripensis.

Echolocating animals emit calls out to the environment, and listen to the echoes of those calls that return from various objects in the environment. They use these echoes to locate, range, and identify the objects. Echolocation is used for navigation and for foraging (or hunting) in various environments.

[edit] Basic principle

Echolocation works like active sonar, using sounds made by an animal. Ranging is done by measuring the time delay between the animal's own sound emission and any echoes that return from the environment. Unlike some sonar that relies on an extremely narrow beam to localize a target, animal echolocation relies on multiple receivers. Echolocating animals have two ears positioned slightly apart. The echoes returning to the two ears arrive at different times and at different loudness levels, depending on the position of the object generating the echoes. The time and loudness differences are used by the animals to perceive direction. With echolocation the bat or other animal can see not only where it's going but can also see how big another animal is, what kind of animal it is, and other features as well.

[edit] Bats

Microbats use echolocation to navigate and forage, often in total darkness. They generally emerge from their roosts in caves or attics at dusk and forage for insects into the night. Their use of echolocation allows them to occupy a niche where there are often many insects (that come out at night since there are fewer predators then) and where there is less competition for food, and where there are fewer other species that may prey on the bats themselves.

Microbats generate ultrasound via the larynx and emit the sound through the nose or, much more commonly, the open mouth. Microbat calls (help·info) range in frequency from 14,000 to well over 100,000 Hz, mostly beyond the range of the human ear (typical human hearing range is considered to be from 20 Hz to 20,000 Hz).

Individual bat species echolocate within specific frequency ranges that suit their environment and prey types. This has sometimes been used by researchers to identify bats flying in an area simply by recording their calls with ultrasonic recorders known as 'bat detectors'. However echolocation calls are not species specific and some bats overlap in the type of calls they use so recordings of echolocation calls cannot be used to identify all bats. In recent years researchers in several countries have developed 'bat call libraries' that contain recordings of local bat species that have been identified known as 'reference calls' to assist with identification.

Since the 1970s there has been an ongoing controversy among researchers as to whether bats use a form of processing known from radar termed coherent cross-correlation. Coherence means that the phase of the echolocation signals is used by the bats, while cross-correlation just implies that the outgoing signal is compared with the returning echoes in a running process. Today most - but not all - researchers believe that they use cross-correlation, but in an incoherent form, termed a filter bank receiver.

When searching for prey they produce sounds at a low rate (10-20/sec). During the search phase the sound emission is coupled to respiration, which is again coupled to the wingbeat. It is speculated that this coupling conserves energy. After detecting a potential prey item, microbats increase the rate of pulses, ending with the terminal buzz, at rates as high as 200/sec. During approach to a detected target, the duration of the sounds is gradually decreasing, as is the energy of the sound.

[edit] Calls and Ecology

Bats belonging to the suborder Microchiroptera (microbats) occupy a diverse set of ecological conditions - they can be found living in environments as different as Europe and Madagascar, and hunting for food sources as different as insects, fruit, and blood. Additionally, the characteristics of an echolocation call are adapted to the particular environment, hunting behavior, and food source of the particular bat. However, this adaptation of echolocation calls to ecological factors is constrained by the phylogenetic relationship of the bats, leading to a process known as descent with modification, and resulting in the diversity seen in the Microchiropteran suborder today. (Jones and Teeling 2006; Grinnell 1995; Zupanc 2004; Fenton 1995; Neuweiler 2003; Simmons and Stein 1980)

Acoustic features of bat echolocation calls

Describing the diversity of bat echolocation calls requires examination of the frequency and temporal features of the calls. It is the variations in these aspects that produce echolocation calls suited for different acoustic environments and hunting behaviors. (Fenton 2005; Jones and Teeling 2006; Zupanc 2004; Simmons and Stein 1980; Hiryu et al. 2007)

• Frequency Modulation and Constant Frequency: Echolocation calls can be composed of two different types of frequency structures: frequency modulated (FM) sweeps, and constant frequency (CF) tones. A particular call can consist of one, the other, or both structures. An FM sweep is a broadband signal – that is, it contains a downward sweep through a range of frequencies. A CF tone is a narrowband signal: the sound stays constant at one frequency throughout its duration.

• Intensity: Echolocation calls have been measured at intensities anywhere between 60 and 110 decibels. Certain microbat species can modify their call intensity mid-call, lowering the intensity as they approach objects that reflect sound strongly. This prevents the returning echo from deafening the bat (Hiryu et al. 2007).

• Harmonic composition: Calls can be composed of one frequency, or multiple frequencies comprising a harmonic series. In the latter case, the call is usually dominated by a certain harmonic (“dominant” frequencies are those present at higher intensities than other harmonics present in the call).

• Note duration: A single echolocation note (a note being a single continuous trace on a sound spectrogram, and a series of notes comprising a call) can last anywhere from 0.2 to 100 milliseconds in duration, depending the stage of prey-catching behavior that the bat is engaged in. For example, the duration of a note usually decreases when the bat is in the final stages of prey capture – this enables the bat to call more rapidly without overlap of call and echo.

FM signal advantages

Echolocation call produced by Pipistrellus pipistrellus, an FM bat. The ultrasonic call has been "heterodyned" - multiplied by a constant frequency to produce frequency subtraction, and thus an audible sound - by a bat detector. A key feature of the recording is the increase in the repetition rate of the call as the bat nears its target - this is called the "terminal buzz".

The major advantage conferred by an FM signal is extremely precise range discrimination, or localization, of the target. J.A. Simmons demonstrated this effect with a series of elegant experiments that showed how bats using FM signals could distinguish between two separate targets even when the targets were less than half a millimeter apart. This amazing ability is due to the broadband sweep of the signal, which allows for better resolution of the time delay between the call and the returning echo, thereby improving the cross correlation of the two. Additionally, if harmonic frequencies are added to the FM signal, then this localization becomes even more precise. (Jones and Teeling 2006; Zupanc 2004; Simmons and Stein 1980; Grinnell 1995)

One possible disadvantage of the FM signal is a decreased operational range of the call. Because the energy of the call is spread out among many frequencies, the distance at which the FM-bat can detect targets is limited (Fenton 1995). This is in part because any echo returning at a particular frequency can only be evaluated for a brief fraction of a millisecond, as the fast downward sweep of the call does not remain at any one frequency for long (Grinnell 1995).

CF signal advantages

The structure of a CF signal is adaptive in that it allows the CF-bat to detect both the velocity of a target, and the fluttering of a target's wings as Doppler shifted frequencies. A Doppler shift is an alteration in sound wave frequency, and is produced in two relevant situations: when the bat and its target are moving relative to each other, and when the target's wings are oscillating back and forth. CF-bats must compensate for Doppler shifts, lowering the frequency of their call in response to echoes of elevated frequency - this ensures that the returning echo remains at the frequency to which the ears of the bat are most finely tuned. The oscillation of a target’s wings also produces amplitude shifts, which gives a CF-bat additional help in distinguishing a flying target from a stationary one. (Schnitzler and Flieger 1983; Zupanc 2004; Simmons and Stein 1980; Grinnell 1995; Neuweiler 2003; Jones and Teeling 2006)

Additionally, because the signal energy of a CF call is concentrated into a narrow frequency band, the operational range of the call is much greater than that of an FM signal. This relies on the fact that echoes returning within the narrow frequency band can be summed over the entire length of the call, which maintains a constant frequency for up to 100 milliseconds (Grinnell 1995; Fenton 1995)

Acoustic environments of FM and CF signals

• FM: An FM component is excellent for hunting prey while flying in close, cluttered environments. Two aspects of the FM signal account for this fact: the precise target localization conferred by the broadband signal, and the short duration of the call. The first of these is essential because in a cluttered environment, the bats must be able to resolve their prey from large amounts of background noise. The 3D localization abilities of the broadband signal enable the bat to do exactly that, providing it with what Simmons and Stein (1980) call a “clutter rejection strategy.” This strategy is further improved by the use of harmonics, which, as previously stated, enhance the localization properties of the call. The short duration of the FM call is also best in close, cluttered environments because it enables the bat to emit many calls extremely rapidly without overlap. This means that the bat can get an almost continuous stream of information – essential when objects are close, because they will pass by quickly – without confusing which echo corresponds to which call. (Neuweiler 2003; Simmons and Stein 1980; Jones and Teeling 2006; Fenton 1995)

• CF: A CF component is often used by bats hunting for prey while flying in open, clutter-free environments, or by bats that wait on perches for their prey to appear. The success of the former strategy is due to two aspects of the CF call, both of which confer excellent prey-detection abilities. First, the greater working range of the call allows bats to detect targets present at great distances – a common situation in open environments. Second, the length of the call is also suited for targets at great distances: in this case, there is a decreased chance that the long call will overlap with the returning echo. The latter strategy is made possible by the fact that the long, narrowband call allows the bat to detect Doppler shifts, which would be produced by an insect moving either towards or away from a perched bat. (Neuweiler 2003; Simmons and Stein 1980; Jones and Teeling 2006; Fenton 1995)

[edit] Bat echolocation: Neural mechanisms in the brain

Because bats use echolocation to orient themselves and to locate objects, their auditory systems are adapted for this purpose, highly specialized for sensing and interpreting the stereotyped echolocation calls characteristic of their own species. This specialization is evident from the inner ear up to the highest levels of information processing in the auditory cortex.

Inner ear and primary sensory neurons

Both CF and FM bats have specialized inner ears which allow them to hear sounds in the ultrasonic range, far outside the range of human hearing. Although in most other aspects, the bat’s auditory organs are similar to those of most other mammals, certain bats with a constant frequency component to their call (known as CF bats) do have a few additional adaptations for detecting the predominant frequency (and harmonics) of the CF vocalization. These include a narrow frequency “tuning” of the inner ear organs, with an especially large area responding to the frequency of the bat’s returning echoes (Neuweiler 2003).

The basilar membrane within the cochlea contains the first of these specializations for echo information processing. In bats that use CF signals, the section of membrane that responds to the frequency of returning echoes is much larger than the region of response for any other frequency. For example, in Rhinolophus ferrumequinum, the horseshoe bat, there is a disproportionately lengthened and thickened section of the membrane that responds to sounds around 83 kHz, the constant frequency of the echo produced by the bat’s call. This area of high sensitivity to a specific, narrow range of frequency is known as an “acoustic fovea” (Zupanc 2004). Further along the auditory pathway, the movement of the basilar membrane results in the stimulation of primary auditory neurons. Many of these neurons are specifically “tuned” (respond most strongly) to the narrow frequency range of returning echoes of CF calls. Because of the large size of the acoustic fovea, the number of neurons responding to this region, and thus to the echo frequency, is especially high (Carew 2001).

Inferior colliculus

In the inferior collicus, a structure in the bat’s midbrain, information from lower in the auditory processing pathway is integrated and sent on to the auditory cortex. As George Pollak and others showed in a series of papers in 1977, the interneurons in this region have a very high level of sensitivity to time differences, since the time delay between a call and the returning echo tells the bat its distance from the target object. Especially interesting is that while most neurons respond more quickly to stronger stimuli, collicular neurons maintain their timing accuracy even as signal intensity changes. These interneurons are specialized for time sensitivity in several ways. First, when activated, they generally respond with only one or two action potentials. This short duration of response allows their action potentials to give a very specific indication of the exact moment of the time when the stimulus arrived, and to respond accurately to stimuli that occur close in time to one another. In addition, the neurons have a very low threshold of activation – they respond quickly even to weak stimuli. Finally, for FM signals, each interneuron is tuned to a specific frequency within the sweep, as well as to that same frequency in the following echo. There is specialization for the CF component of the call at this level as well. The high proportion of neurons responding to the frequency of the acoustic fovea actually increases at this level (Carew 2001, Pollak 1977, Zupanc 2004).

Auditory cortex

The auditory cortex in bats is quite large in comparison with other mammals (Anderson 1995). Various characteristics of sound are processed by different regions of the cortex, each providing different information about the location or movement of a target object. Most of the existing studies on information processing in the auditory cortex of the bat have been done by Nobuo Suga on the mustached bat, Pteronotus parnellii. This bat’s call has both CF tone and FM sweep components.

Suga and his colleagues have shown that the cortex contains a series of “maps” of auditory information, each of which is organized systematically based on characteristics of sound such as frequency and amplitude. The neurons in these areas respond only to a specific combination of frequency and timing (sound-echo delay), and are known as combination-sensitive neurons.

Sketch of the regions of the auditory cortex in a bat's brain

• FM-FM area: This region of the cortex contains FM-FM combination-sensitive neurons. These cells respond only to the combination of two FM sweeps: a call and its echo. The neurons in the FM-FM region are often referred to as “delay-tuned,” since each responds to a specific time delay between the original call and the echo, in order to find the distance from the target object (the range). Each neuron also shows specificity for one harmonic in the original call and a different harmonic in the echo. The neurons within the FM-FM area of the cortex of Pteronotus are organized into columns, in which the delay time is constant vertically but increases across the horizontal plane. The result is that range is encoded by location on the cortex, and increases systematically across the FM-FM area (Suga et al. 1975, Suga et al. 1979, Neuweiler 2003, Carew 2001).

• CF-CF area: Another kind of combination-sensitive neuron is the CF-CF neuron. These respond best to the combination of a CF call containing two given frequencies – a call at 30 kHz (CF1) and one of its additional harmonics around 60 or 90 kHz (CF2 or CF3) – and the corresponding echoes. Thus, within the CF-CF region, the changes in echo frequency caused by the Doppler shift can be compared to the frequency of the original call to calculate the bat’s velocity relative to its target object. As in the FM-FM area, information is encoded by its location within the map-like organization of the region. The CF-CF area is first split into the distinct CF1-CF2 and CF1-CF3 areas. Within each area, the CF1 frequency is organized on an axis, perpendicular to the CF2 or CF3 frequency axis. In the resulting grid, each neuron codes for a certain combination of frequencies that is indicative of a specific velocity (Suga et al. 1975, Suga et al. 1987, Carew 2001).

• DSCF area: This large section of the cortex is a map of the acoustic fovea, organized by frequency and by amplitude. Neurons in this region respond to CF signals that have been Doppler shifted (in other words, echoes only) and are within the same narrow frequency range to which the acoustic fovea responds. For Pteronotus, this is around 61 kHz. This area is organized into columns, which are arranged radially based on frequency. Within a column, each neuron responds to a specific combination of frequency and amplitude. Suga’s studies have indicated that this brain region is necessary for frequency discrimination (Suga et al. 1975, Suga et al. 1987, Carew 2001).

To summarize, the systematically organized maps in the auditory cortex respond to various aspects of the echo signal, such as its delay and its velocity. These regions are composed of “combination sensitive” neurons that require at least two specific stimuli to elicit a response. The neurons vary systematically across the maps, which are organized by acoustic features of the sound and can be two dimensional. The different features of the call and its echo are used by the bat to determine important characteristics of their prey.

[edit] Toothed whales

Diagram illustrating sound generation, propagation and reception in a toothed whale. Outgoing sounds are red and incoming ones are green

Toothed whales (suborder odontoceti), including dolphins, porpoises, river dolphins, orcas and sperm whales, use biosonar because they live in an underwater habitat that has favourable acoustic characteristics and where vision is extremely limited in range due to absorption or turbidity.

Toothed whales emit a focused beam of high-frequency clicks in the direction that their head is pointing. Sounds are generated by passing air from the bony nares through the phonic lips.^[1] These sounds are reflected by the dense concave bone of the cranium and an air sac at its base. The focussed beam is modulated by a large fatty organ known as the 'melon'. This acts like an acoustic lens because it is composed of lipids of differing densities. Most toothed whales use clicks in a series, or click train, for echolocation, while the sperm whale may produce clicks individually. Different rates of click production in a click train give rise to the familiar barks, squeals and growls of the bottlenose dolphin. A click train with a repetition rate over 600 per second is called a burst pulse. In bottlenose dolphins, the auditory brain response resolves individual clicks up to 600 per second, but yields a graded response for higher repetition rates.

Some smaller toothed whales may have their tooth arrangement suited to aid in echolocation. The placement of teeth in the jaw of a bottlenose dolphin, as an example, are not symmetrical when seen from a vertical plane, and this asymmetry could possibly be an aid in the dolphin sensing if echoes from its biosonar are coming from one side or the other.^[2][3]

Echoes are received using the lower jaw as the primary reception path, from where they are transmitted to the inner ear via a continuous fat body. Lateral sound may be received though fatty lobes surrounding the ears with a similar acoustic density to bone. Some researchers believe that when they approach the object of interest, they protect themselves against the louder echo by quietening the emitted sound. In bats this is known to happen, but here the hearing sensitivity is also reduced close to a target.

Before the echolocation abilities of "porpoises" were officially discovered, Jacques Yves Cousteau suggested that they might exist. In his first book, The Silent World (1953, pp. 206-207), he reported that his research vessel, the Élie Monier, was heading to the Straits of Gibraltar and noticed a group of porpoises following them. Cousteau changed course a few degrees off the optimal course to the center of the strait, and the porpoises followed for a few minutes, then diverged toward mid-channel again. It was obvious that they knew where the optimal course lay, even if the humans didn't. Cousteau concluded that the cetaceans had something like sonar, which was a relatively new feature on submarines. He was right.

[edit] Oilbirds

Oilbirds and some species of swiftlet are known to use a crude form of biosonar (compared to the capabilities of bats and dolphins). These nocturnal birds emit calls while flying and use the calls to navigate through trees and caves where they live.

[edit] Shrews and tenrecs

Main article: Shrews#Echolocation

Terrestrial mammals other than bats known to echolocate include two genera (Sorex and Blarina) of shrews and the tenrecs of Madagascar.^[4] These include the wandering shrew (Sorex vagrans), the common or Eurasian shrew (Sorex araneus), and the short-tailed shrew (Blarina brevicauda). The shrews emit series of ultrasonic squeaks. In contrast to bats, shrews probably use echolocation to investigate their habitat rather than to pinpoint food.

[edit] See also

• Human echolocation

[edit] References

1. ^ Cranford, T.W., (2000). "In Search of Impulse Sound Sources in Odontocetes." In Hearing by Whales and Dolphins (Springer Handbook of Auditory Research series), W.W.L. Au, A.N. Popper and R.R. Fay, Eds. Springer-Verlag, New York.
2. ^ Goodson, A.D., and Klinowska, M.A., (1990). "A proposed echolocation receptor for the Bottlenose Dolphin (Tursiops truncatus): modelling the receive directivity from tooth and lower jaw geometry." In Sensory Abilities of Cetaceans vol 196 ed J A Thomas and R A Kastelein (New York: Plenum) pp 255–67 (NATO ASI Series A)
3. ^ Dobbins, P. (2007). "Dolphin sonar—modelling a new receiver concept." Bioinspired Biomimicry 2 (2007) 19–29
4. ^ Thomas E. Tomasi, "Echolocation by the Short-Tailed Shrew Blarina brevicauda", Journal of Mammalogy, Vol. 60, No. 4 (Nov., 1979), pp. 751–759.

• Hiryu, S. et al. 2007. Echo-intensity compensation in echolocating bats (Pipistrellus abramus)during flight measured by a telemetry microphone. J. Acoust. Soc. Am. 121(3): .
• Schnitzler, H.U. and Flieger, E. 1983. Detection of oscillating target movements by echolocation in the Greater Horseshoe bat. J. Comp. Physiology. 153: 385-391.
• Zupanc, G.K.H. 2004. Behavioral Neurobiology: An Integrative Approach. Oxford University Press: Oxford, UK.
• Simmons, J.A. and Stein, R.A. 1980. Acoustic Imaging in bat sonar: echolocation signals and the evolution of echolocation. J. Comp. Physiol. A. 135: 61-84.
• Neuweiler, G. 2003. Evolutionary aspects of bat echolocation. J. Comp. Physiol. A. 189: 245-256.
• Jones, G. and Teeling, E.C. 2006. The evolution of echolocation in bats. Trends in Ecology and Evolution. 21(3): 149-156.
• Fenton, M.B. 1995. Natural History and Biosonar Signals. In: Hearing in Bats. Popper, A.N. and Fay, R.R. (eds.). Springer Verlag. New York. pp.37-86.
• Grinnell, Alan D. (1995). Hearing in Bats: An Overview. In: Hearing in Bats. Popper, A.N. and Fay, R.R. (eds.). Springer Verlag. New York. pp. 1-36.
• Reynolds JE III & Rommel SA (1999), Biology of Marine Mammals, Smithsonian Institution Press, ISBN . Authoritative work on marine mammals with in depth sections on marine mammal acoustics written by eminent experts in the field.
• Au, Whitlow W. L. (1993). The Sonar of Dolphins. New York: Springer-Verlag. Provides a variety of findings on signal strength, directionality, discrimination, biology and more.
• Pack, Adam A. & Herman, Louis M. (1995). "Sensory integration in the bottlenosed dolphin: Immediate recognition of complex shapes across the senses of echolocation and vision", J. Acoustical Society of America, 98(2), 722-733. Shows evidence for the sensory integration of shape information between echolocation and vision, and presents the hypothesis of the existence of the mental representation of an "echoic image".
• Anderson, J.A. (1995) An Introduction to Neural Networks. MIT Press.
• Carew, T. (2001). Behavioral Neurobiology. Sinauer Associates, Inc., USA.
• Hopkins, C. (2007). Echolocation II. BioNB 424 Neuroethology Powerpoint presentation. Cornell University, Ithaca NY.
• Moss C. & Sinha S. (2003). Neurobiology of Echolocation in Bats. Current Opinion in Neurobiology, 13(6), 751-758.
• Pollak G. et al. (1977). Echo-detecting characteristics of neurons in inferior colliculus of unanesthetized bats. Science, 196: 675-678.
• Suga, N., Niwa H., Taniguchi I., Margoliash D. (1987). The personalized auditory cortex of the mustached bat: adaptation for echolocation. Journal of Neurophysiology, 58: 643-654.
• Suga N., O'Neill W.E. (1979). Neural axis representing target range in the auditory cortex of the mustache bat. Science, 206: 351-353.
• Suga N, Simmons JA and Jen PH. (1975) Peripheral specialization for fine analysis of doppler-shifted echoes in the auditory system of the "CF-FM" bat Pteronotus parnellii. Journal of Experimental Biology, 63: 161-192.

[edit] External links

• The British Library Sound Archive 150,000 recordings of over 10,000 species, including many echolocation recordings
• International Bioacoustics Council links to many bioacoustics resources
• Listen to Nature has bat and swiftlet sonar signals
• Bat Ecology & Bioacoustics Lab