pck 3_ acoustic ecology

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Ecosystems &Biodiversity Acoustic Ecology 40 PCK 3 Acoustic Ecology: Evesdropping on Species Reading O’Brian, T.G., Kinnaird, M.F. and Wibisono, H.T. (2003) Crouching tigers, hidden prey: Sumatran tiger and prey populations in a tropical forest landscape. Animal Conservation 6, 131-139.). ( this can be found on DSO Prac 7 readings). Introduction Have you ever wondered why birds sing ? Or where the whales go after they have calved? Do urban birds really sing louder so they can be heard over the noise of car traffic ? What do nocturnal animals do after dark when we can’t see them ? How far do sharks travel and where do they go ? Tracking animals with new technology such as global positioning systems (GPS) and plotting their tracks using Geograpgic information systems (GIS) has allowed scientists to gather data that has been unobtainable in the past. For example, see http://www.marine.csiro.au/research/whitesharks/index.html and look at the shark tracks. Recent developments in audio recording and processing have enabled conservation ecologists to collect whole new sets of data from species, by eavesdropping on the sounds they make. The migration of whales can be tracked, communication between animals such as elephants can be studied, bird behaviour and courtship displays unravelled, and the responses of animals to human noise understood and managed. In this practical we will listen to some of the sounds made by animals and investigate the types of ecological projects utilizing the new audio technologies. The task This is the web page for the Cornell University Bioacoustics Research Program. at http://www.birds.cornell.edu/brp 40

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Page 1: PCK 3_ Acoustic Ecology

Ecosystems &Biodiversity Acoustic Ecology 40

PCK 3

Acoustic Ecology: Evesdropping on Species

Reading

O’Brian, T.G., Kinnaird, M.F. and Wibisono, H.T. (2003) Crouching tigers, hidden prey: Sumatran tiger and prey populations in a tropical forest landscape. Animal Conservation 6, 131-139.). ( this can be found on DSO Prac 7 readings).

Introduction

Have you ever wondered why birds sing ? Or where the whales go after they have calved? Do urban birds really sing louder so they can be heard over the noise of car traffic ? What do nocturnal animals do after dark when we can’t see them ? How far do sharks travel and where do they go ?

Tracking animals with new technology such as global positioning systems (GPS) and plotting their tracks using Geograpgic information systems (GIS) has allowed scientists to gather data that has been unobtainable in the past. For example, see http://www.marine.csiro.au/research/whitesharks/index.html and look at the shark tracks.

Recent developments in audio recording and processing have enabled conservation ecologists to collect whole new sets of data from species, by eavesdropping on the sounds they make. The migration of whales can be tracked, communication between animals such as elephants can be studied, bird behaviour and courtship displays unravelled, and the responses of animals to human noise understood and managed.

In this practical we will listen to some of the sounds made by animals and investigate the types of ecological projects utilizing the new audio technologies.

The task

This is the web page for the Cornell University Bioacoustics Research Program. at

http://www.birds.cornell.edu/brp

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Click the link to “around the globe” which shows the location of a number of their sound

gathering and ecological interpretation projects.

Task 1: Bird Songs

Like any music, the noises and songs of animals can be turned into a “musical score” called a spectrogram. Log into the following website http://www.birds.cornell.edu/brp/ and click the link to “bird research”. Click the link to “Banded Wren Vocal Communication”

(http://www.birds.cornell.edu/brp/BandedWren.html) and locate the spectrogram of the banded wren shown below (Songs of Yoda – second column from the left, first song). Or click the words “sound spectrogram” Click on it to hear the song and listen to it while looking at the spectrograph below. Play it several times, trying to anticipate when the song will rise and fall, until you can “read” the spectrogram.

As in musical notation, the horizontal axis represents time and the vertical corresponds to frequency (or pitch), with the higher sounds shown higher on the display.

Listen to some of the songs. How do banded wrens first learn their songs ?

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Counter-singing occurs between male birds during aggressive territorial displays. What are the three different possible counter-singing responses, and which one signals an escalation in the interaction ?

Look at the spectrograms for the two birds “O” and “Yoda”. Look at the “Songs of Yoda”. The first song of Yoda in the left-hand pair of columns is the song you have already heard – it is a compound song made up of more simple sequences. Click on some of the specrograms and work out which “simple” songs Yoda has used to create his compound song (for example right-hand column, song 2 is the last sequence in the compound song).

Task 2: Listening to Elephants

Use the browser back arrow to return to the original page or type the web address in again (http://www.birds.cornell.edu/brp/).

Click on the icon for “Elephant Research”.

Click the link to “The Elephant Listening Project”. Forest elephant populations cannot be monitored from the air like those of savanna elephants. Acoustic monitoring is being assessed as an indirect tool for estimationg population size and health. Elephants make powerful infrasonic calls which travel long distances, and can potentially be used instead of visual sightings, for population studies.

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Click on the spectrogram to listen to the low-frequency calls, and watch one or two of the videos. What are the questions that the researchers hope to answer with these calls ?

Task 3: Eavesdropping on Whales

Tracking Whale Migration Return to the main page via the browser back arrow, or by retyping the address http://birds.cornell.edu.au/brp

Click the “Whale Research” link and navigate to the “Acoustic Census of Migrating Bowhead Whales”. Where do the whales migrate to for summer, and where do they come from ? How are the whales tracked ?

Go back to the “Whale Research” page, scroll down and click the link to “Listen to Recorded Marine Mammal Vocalizations”. Listen to some of the sounds made by different species – for exaple, the humpback whale song displays an interesting sequence of sounds. If you compare it with the song of the Blue whale or the Minke Whale, you can see how it is possible for researchers to tell the different species apart.

Find the spectrogram on the page called “Whales and Undersea Earthquakes” which has the following spectrogram on it. Click on it and listen to the songs of a humback whale, and minke whale and the roar of an earthquake in the background!

Whales can also be tracked acoustically using satellites. Go to the web address http://birds.cornell.edu/publications

Scroll down and click the link to “Birdscope”, then go to “Past Issues” and click on Summer 1994. You should have a copy of Birdscope 1994 Volume 8 Number 3 on your screen. Open the article called “Space Age Whale Monitoring”. What is a “satellite acoustic tag” ? How is it attached to the whale ? What is the first species to be targeted for this sort of monitoring ?

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Task 4: Eavesdropping Equipment

The equipment used for recording and deciphering these sounds have been developed for other purposes, most military applications and “spying” !

Go to the website http://www.pmel.noaa.gov/vents/acoustics and find the page on “Autonomous Hydrophones”. Download and watch the Quicktime movie to see how they work. Where are hydrophones located ? There is also information on “pop-up hydrophones” at http://birds.cornell.edu/brp on the Whale Research site.

There are concerns that Low Frequency Active Sonar may interfere with whale navigation or whale communication. Some results of tests are given at http://birds.cornell.edu/brp/SoundLFAandHB.html

Other Equipment: Other types of “remote” data collecting devices have also been used. Look at the methods section of the extra reading “Tiger1” (in the file on DSO called Prac 7 Reading). What are “camera traps and what have they been used for?

Task 5: The Biological Effects of Noise on Wildlife

For a completely different view of sound, and how it affects wildlife, go to the website http://www.acousticecology.org/wildlandbiology.html Here the issues are the biological effects of noise, and the loss of natural soundscapes – a new conservation and management issue!!

Go to the navigation bar at the top, and click on the “Soundscapes” button. Listen to some of the sounds – if they will play on your web browser

Exercise

Write the answers to the questions asked on the sheet on the following page and submit it as requested by your lecturer.

Due date

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PCK 3: Acoustic Ecology: Evesdropping on Species

Name: _________________________________

Task 1 Bird Songs

How do banded wrens first learn their songs ?

Counter-singing occurs between male birds during aggressive territorial displays.

What are the three different possible counter-singing responses, and which one signals an escalation in the interaction ?

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Task 2 Listening to Elephants

What are the questions that the elephant researchers hope to answer with these

calls?

Task 3 Eavesdropping on Whales

Where do the whales migrate to for summer, and where do they come from ?

How are the whales tracked ?

“Space Age Whale Monitoring” - What is a “satellite acoustic tag” ?

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How is it attached to the whale ?

What is the first species to be targeted for this sort of monitoring ?

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Task 4: Eavesdropping Equipment

“Autonomous Hydrophones” - Where are hydrophones located ?

Other Equipment: What are “camera traps” and what have they been used for?

Banded Wren Vocal Communication

The use of song as a threat signal to rival males

The primary goal of the Banded Wren study is to determine how males use their repertoire of song types in vocal exchanges with rival territorial males. The project is directed by Professor Sandra Vehrencamp, in collaboration with postdoctoral associates John Burt, Michelle Hall, and Selvino deKort, former students Laura Molles, Paula Trillo, and Anya Illes, the engineering staff of the Bioacoustics Research Program, and numerous undergraduate assistants.

Male birds use their melodious songs to both attract females and defend their territories against rival males. How can a single vocal signal serve such disparate functions? Most oscine songbird species actually sing several to many different songs, which we call song types, and the set of song types used by a given male comprises his song-type repertoire. Each male learns these song types through exposure to the songs of other adult males. Species of oscine songbirds differ in their ability to learn early versus later in life, in their propensity to copy whole song types versus invent new song types combined from learned elements, and in the size of their final repertoire of song types

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or elements. These learning strategies determine the way in which males can use their songs to communicate with females and other males.

Our study focuses on the male-male communication function of complex singing behavior. Why is this an important issue? Acoustic research by many investigators on a wide variety of avian species has turned up a number of good answers to the question of how song types are used to attract mates. Females have been found to prefer to mate with those males having larger repertoires in every songbird species examined to date. A female may obtain several kinds of benefits by choosing a male with a large repertoire. In species that continue to learn new song types well into adult life, repertoire size is an index of male age.

Older males have proven their ability to survive, and they may possess better territories and offer females more breeding experience. In species with a rapid learning period early in life, the repertoire size of a male may be determined by his nutritional condition, health, and/or foraging ability. In species with extreme sexual selection for large repertoire size, males often mimic the sounds of other species as well as environmental noises, using these vocal elements as raw material for the invention of highly diverse and unique songs that are attractive to females. Female choice for diverse and complex singing behavior is probably the driving force behind the evolution of song learning and the intricate syrinx during the early radiation of oscine songbirds.

By contrast, in those species that continue to sing after mating and clearly use song for territory defense as well, a high diversity of sounds is usually not an important feature. Such species often have small to medium-sized repertoires of song types. The songs themselves are relatively short and separated by significant silent gaps for listening to song responses by other males. We frequently find that males copy some of the song types of their adjacent neighbors. When males share some but not all of their song types with neighbors, they can potentially use shared versus non-shared song types to indicate different levels of aggressive arousal. In particular, they can reply to a song of a rival with a song of the same type, called type-matching, which seems to be a very threatening signal in several species. Song types can be used in other structured ways to encode different kinds of information. For example, synchronized switching could be used to point to a particular singing rival, and songs with different structures, frequencies, durations, or amplitudes could encode different levels of aggressive motivation. The question we pose is: how can different singing strategies serve as effective threat signals and remain honest despite the temptation to bluff? If certain ways of singing are reliably associated with different levels of aggressive motivation or fighting ability, then countersinging interactions may resolve many boundary disputes without the necessity of escalating to a physical fight, to the benefit of both interacting males.

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A Banded Wren, Thryothorus pleurostictus,tending its nest The Banded Wren (Thryothorus pleurostictus) is a common and vocally active species that inhabits the tropical dry deciduous forest of the Pacific slope of Central America. It breeds only during the rainy season but remains resident and paired on the same territory during the dry season. Each male has a repertoire of 20 to 25 song types, which are relatively easy to distinguish with the human ear.

Young males tend to copy whole song types from nearby males and generally do not disperse very far from their natal territory, so established adjacent neighbors share between 50 to 90% of their song-type repertoire. (To see and hear some examples of shared song types, click here.) Males typically switch to a new song type after every song, and during the non-aggressive dawn chorus period they deliver most of their different song types. During mid-morning countersinging interactions between males, birds preferentially use their shared song types, they reduce their song-type diversity, and they often repeat the same song type several times. We believe these subtle changes in singing patterns signal important information about tendencies to approach or withdraw from aggressive encounters. Males frequently attempt to extend their boundaries into the territories of their neighbors, especially after a nest predation forces them to renest in a new location, so boundary disputes are common.

We are using two relatively new and sophisticated techniques to determine the relationships between different singing patterns and the aggressive behaviors of both the singer and the receiver. One technique is multiple microphone array recording. With simultaneously-recording microphones spread throughout a neighborhood of adjacent territories, we not only obtain a record of the song types sung by each of several males, but we can also triangulate the location of each male at the time the song was sung. All countersinging interactions during the recording session can then be analyzed carefully. We will be able to determine which singing patterns are associated with periods of approaching versus retreating from a boundary with a singing rival male. Moreover, interactions that were successfully resolved with song can be compared to interactions that ended in a physical fight. The array system can also be used to monitor the singing and movement behaviors of focal birds and neighbors during experimental manipulations, such as temporary male removals, speaker replacement experiments in territories with removed males, and song playback experiments.

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Sandra Vehrencamp operating thedigital recording station at the CostaRica research site. The second technique we have been using in the banded wren study is interactive playback of song stimuli. Song playback is a useful technique for quantifying the meaning of, and aggressive responses to, different singing strategies. Traditional tape loop playback experiments cannot adequately simulate the types of vocal interactions that occur during countersinging because it is not possible to change either the song type delivered or the precise timing of the song playback in response to the focal bird's songs.

When birds interact vocally, the time delay between each rival's songs appears to provide important information. In the banded wren, neighbors initially avoid overlapping each other's songs and alternate in a regular way. However, if the vocal conflict escalates, birds may start to overlap each other, and one bird may even precisely finish the song that is begun by the other if they share the song type. We use interactive playback to control (or systematically vary) both song-type diversity and song overlap. The only way to investigate the meaning of song-type matching is with interactive playback. We use laptop computers on which a variety of different prepared song stimuli have been stored. A specific song can be broadcast through a battery-operated speaker at the stroke of a key. The software keeps a record of the songs played and other events that the investigator might wish to note. We have both a Macintosh-based software program called Singit!, and a PC-Windows-based program called Syrinx.

During the course of this study we will be monitoring the long-term success of color-marked males who differ in repertoire size and percentage of song types shared with adjacent neighbors. We are particularly interested in following the dispersal success and learning process of young birds. Males that have larger repertoires, or that share more songs with their neighbors, may have fewer aggressive interactions with their neighbors, longer periods of territory tenure, and/or greater probabilities of attracting and maintaining mates. We are developing a computer simulation model of song learning that generates testable predictions about the learning strategies and ecological factors that affect sharing patterns.

Finally, a long-term goal of this research program is to compare the use of song types for regulating male-male interactions in this species, the Banded Wren, to the use of song types in other avian species with different learning strategies. For example, the Song Sparrow has a very narrow window of song learning that is restricted to the first few months of independent life, compared to the approximately nine-month window of learning for the Banded Wren. Song Sparrows possess smaller song-type repertoires

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than Banded Wrens (i.e., 8 to 10 song types per male) and song-sharing levels are much lower (0 to 40% sharing depending on the population). We have recently determined that Song Sparrows, like Banded Wrens, use type-matching to indicate strong aggressive intentions, and they also preferentially use shared song types in interactions with established neighbors. However, some adjacent Song Sparrow males share no songs and can't employ these strategies. The song-sharing level of a territorial bird with its neighbors may be a better indicator of a male's dispersal distance and fighting ability in a species such as the Song Sparrow than in the Banded Wren. Other species such as wood-warblers have very long learning windows and the ability to copy whole song types from new neighbors. We plan to investigate the meaning of shared versus non-shared song types, and of type-matching, in such species using techniques similar to the ones described here.

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