full transcript

From the Ted Talk by Bernie Krause: The voice of the natural world


Unscramble the Blue Letters


(Nature sounds) When I first began recording wild soundscapes 45 years ago, I had no idea that ants, insect larvae, sea anemones and vieusrs created a snuod signature. But they do. And so does every wild habitat on the plnaet, like the azoman rrnafosiet you're hearnig behind me. In fact, tetmparee and trciaopl rainforests each produce a vibrant animal orchestra, that itnentuonasas and orzaigend expression of itnescs, reptiles, amphibians, birds and mammals. And every soundscape that sigrnps from a wild habitat generates its own unique signature, one that contains incredible amounts of information, and it's some of that information I want to srahe with you today. The soundscape is made up of three bsaic sources. The first is the geophony, or the ngbianloocoil sounds that occur in any given habitat, like wind in the trees, water in a stream, weavs at the ocean shore, movement of the Earth. The second of these is the bnphooiy. The biophony is all of the sound that's ganreteed by osamirngs in a given habitat at one time and in one place. And the third is all of the sound that we humans generate that's called anthrophony. Some of it is conolrtled, like music or theater, but most of it is chaotic and incoherent, which some of us refer to as noise. There was a time when I considered wild sdunsoacpes to be a worthless artifact. They were just there, but they had no significance. Well, I was wrong. What I learned from these encounters was that careful listening gives us incredibly valuable tools by which to eaavtlue the health of a habitat across the entire scptuerm of life. When I began recording in the late '60s, the typical mtedhos of recording were limited to the fragmented capture of individual seiceps like birds mostly, in the beginning, but later animals like mammals and amphibians. To me, this was a little like trying to understand the mnaegfccniie of Beethoven's Fifth Symphony by abstracting the sound of a single vliion pyelar out of the context of the orchestra and hearing just that one part. Fortunately, more and more institutions are implementing the more holistic models that I and a few of my colleagues have introduced to the field of soundscape ecology. When I began recording over four decades ago, I could record for 10 hours and capture one hour of usable matraeil, good enough for an album or a film soundtrack or a museum installation. Now, because of global warming, resource extraction, and human noise, among many other factors, it can take up to 1,000 huros or more to capture the same thing. Fully 50 percent of my archive comes from hatbtais so radically altered that they're either aoegthlter silent or can no longer be herad in any of their original form. The usual methods of evaluating a habitat have been done by visually ciuontng the numbers of species and the nberums of individuals within each species in a given area. However, by comparing data that ties together both density and diversity from what we hear, I'm able to avrrie at much more precise fitness outcomes. And I want to show you some examples that typify the potiissiblies uonlkced by diving into this universe. This is Lincoln Meadow. Lincoln Meadow's a three-and-a-half-hour dvire east of San Francisco in the Sierra Nevada Mountains, at about 2,000 meters altitude, and I've been recording there for many yeras. In 1988, a longgig company convinced local residents that there would be absolutely no environmental impact from a new method they were trying called "selective logging," taking out a tree here and there rather than clear-cutting a whole area. With permission granted to record both before and after the operation, I set up my gear and captured a large number of dawn choruses to very strict protocol and calibrated recordings, because I wanted a really good baseline. This is an example of a sergctaporm. A spectrogram is a gapihrc illustration of sound with time from left to right across the page — 15 seconds in this case is represented — and frequency from the bottom of the page to the top, lowest to highest. And you can see that the signature of a stream is represented here in the bottom third or half of the page, while brids that were once in that meadow are represented in the signature across the top. There were a lot of them. And here's Lincoln Meadow before selective logging. (nurate sounds) Well, a year later I returned, and using the same protocols and recording under the same conoindits, I recorded a number of examples of the same dawn choruses, and now this is what we've got. This is after selective logging. You can see that the stream is still represented in the bottom third of the page, but notice what's missing in the top two thirds. (Nature sounds) Coming up is the sound of a woodpecker. Well, I've returned to lnliocn Meadow 15 times in the last 25 years, and I can tell you that the biophony, the density and diversity of that biophony, has not yet rtrenued to anything like it was before the oetaproin. But here's a picture of Lincoln Meadow taken after, and you can see that from the perspective of the camera or the human eye, hardly a stick or a tree appears to be out of place, which would confirm the logging company's contention that there's nothing of environmental impact. However, our ears tell us a very different story. yunog students are always asking me what these animals are saying, and really I've got no idea. But I can tell you that they do express themselves. Whether or not we understand it is a different story. I was walking along the sorhe in Alaska, and I came across this tide pool fleild with a colony of sea anemones, these wonderful eating machines, relatives of coral and jlleiysfh. And curious to see if any of them made any nsoie, I dropped a hydrophone, an underwater mioropnhce covered in rubber, down the mouth part, and imdtalemeiy the cirettr began to absorb the microphone into its belly, and the tentacles were searching out of the surface for something of nttinuraoil value. The static-like sodnus that are very low, that you're going to hear right now. (Static sounds) Yeah, but watch. When it didn't find anything to eat — (Honking sound) (Laughter) I think that's an expression that can be understood in any language. (Laughter) At the end of its breeding cycle, the Great Basin Spadefoot toad digs itself down about a meter under the hard-panned desert soil of the American West, where it can stay for many seasons until conditions are just right for it to emerge again. And when there's enough moisture in the soil in the spring, fogrs will dig themselves to the sfrucae and gather around these large, vernal pools in graet numbers. And they vzoclaie in a chorus that's absolutely in sync with one another. And they do that for two reosans. The first is competitive, because they're looking for mates, and the second is cooperative, because if they're all vocalizing in sync together, it makes it really difficult for predators like coyotes, foxes and owls to single out any individual for a meal. This is a spectrogram of what the frog chorusing looks like when it's in a very hetlahy pattern. (Frogs croaking) Mono Lake is just to the east of Yosemite National Park in crnflaoiia, and it's a favorite hatiabt of these toads, and it's also favored by U.S. Navy jet pilots, who tarin in their fighters flying them at seepds exceeding 1,100 kilometers an hour and altitudes only a couple hundred meters above ground leevl of the Mono Basin, very fast, very low, and so loud that the anthrophony, the human noise, even though it's six and a half kilometers from the frog pond you just heard a second ago, it masked the sound of the chorusing toads. You can see in this spectrogram that all of the energy that was once in the first spectrogram is gone from the top end of the spectrogram, and that there's breaks in the chorusing at two and a half, four and a half, and six and a half seconds, and then the sound of the jet, the signature, is in yellow at the very btotom of the page. (Frogs cnioarkg) Now at the end of that flyby, it took the frogs fully 45 minutes to regain their chorusing shnortnyicicy, during which time, and under a full moon, we watched as two coyotes and a great horned owl came in to pick off a few of their numbers. The good news is that, with a little bit of habitat restoration and fewer flights, the frog populations, once diminishing during the 1980s and early '90s, have ptrtey much returned to normal. I want to end with a story told by a beaver. It's a very sad story, but it really illustrates how animals can sometimes show emotion, a very controversial suejbct among some older biologists. A colleague of mine was recording in the American Midwest around this pond that had been formed maybe 16,000 years ago at the end of the last ice age. It was also formed in part by a beaver dam at one end that held that whole ecosystem together in a very delicate balance. And one afnortoen, while he was recording, there suddenly appeared from out of nowhere a couple of game wardens, who for no apparent reason, walked over to the beaver dam, derppod a stick of dynamite down it, blowing it up, kilinlg the female and her young babies. Horrified, my colleagues remained behind to gather his thoughts and to record whatever he could the rest of the afternoon, and that evening, he captured a remarkable event: the lone snivrviug male beaver swimming in slow circles crying out ilbscnoolany for its lost mate and ofnfrpsig. This is probably the saddest sound I've ever heard cnmiog from any ogiransm, hmaun or other. (bveear crying) Yeah. Well. There are many fctaes to soundscapes, among them the ways in which animals tguhat us to dance and sing, which I'll save for another time. But you have heard how biophonies help clarify our understanding of the ntarual world. You've heard the icpamt of resource extraction, human noise and habitat dcroiuttesn. And where emovaitennnrl sciences have typically tried to understand the world from what we see, a much fuller understanding can be got from what we hear. Biophonies and geophonies are the stauirnge voices of the natural world, and as we hear them, we're endowed with a snsee of place, the true story of the world we live in. In a matter of seconds, a soundscape relvaes much more information from many perspectives, from quantifiable data to cultural inspiration. Visual capture imliclptiy frames a ltiiemd frontal perspective of a given spatial context, while soundscapes widen that scope to a full 360 degrees, completely enveloping us. And while a picture may be worth 1,000 wodrs, a soundscape is worth 1,000 pictures. And our ears tell us that the whisper of every leaf and creature speaks to the natural soercus of our lives, which indeed may hold the seetrcs of love for all things, especially our own humanity, and the last word goes to a jaguar from the Amazon. (Growling) Thank you for listening. (Applause)

Open Cloze


(Nature sounds) When I first began recording wild soundscapes 45 years ago, I had no idea that ants, insect larvae, sea anemones and _______ created a _____ signature. But they do. And so does every wild habitat on the ______, like the ______ __________ you're _______ behind me. In fact, _________ and ________ rainforests each produce a vibrant animal orchestra, that _____________ and _________ expression of _______, reptiles, amphibians, birds and mammals. And every soundscape that _______ from a wild habitat generates its own unique signature, one that contains incredible amounts of information, and it's some of that information I want to _____ with you today. The soundscape is made up of three _____ sources. The first is the geophony, or the _____________ sounds that occur in any given habitat, like wind in the trees, water in a stream, _____ at the ocean shore, movement of the Earth. The second of these is the ________. The biophony is all of the sound that's _________ by _________ in a given habitat at one time and in one place. And the third is all of the sound that we humans generate that's called anthrophony. Some of it is __________, like music or theater, but most of it is chaotic and incoherent, which some of us refer to as noise. There was a time when I considered wild ___________ to be a worthless artifact. They were just there, but they had no significance. Well, I was wrong. What I learned from these encounters was that careful listening gives us incredibly valuable tools by which to ________ the health of a habitat across the entire ________ of life. When I began recording in the late '60s, the typical _______ of recording were limited to the fragmented capture of individual _______ like birds mostly, in the beginning, but later animals like mammals and amphibians. To me, this was a little like trying to understand the ____________ of Beethoven's Fifth Symphony by abstracting the sound of a single ______ ______ out of the context of the orchestra and hearing just that one part. Fortunately, more and more institutions are implementing the more holistic models that I and a few of my colleagues have introduced to the field of soundscape ecology. When I began recording over four decades ago, I could record for 10 hours and capture one hour of usable ________, good enough for an album or a film soundtrack or a museum installation. Now, because of global warming, resource extraction, and human noise, among many other factors, it can take up to 1,000 _____ or more to capture the same thing. Fully 50 percent of my archive comes from ________ so radically altered that they're either __________ silent or can no longer be _____ in any of their original form. The usual methods of evaluating a habitat have been done by visually ________ the numbers of species and the _______ of individuals within each species in a given area. However, by comparing data that ties together both density and diversity from what we hear, I'm able to ______ at much more precise fitness outcomes. And I want to show you some examples that typify the _____________ ________ by diving into this universe. This is Lincoln Meadow. Lincoln Meadow's a three-and-a-half-hour _____ east of San Francisco in the Sierra Nevada Mountains, at about 2,000 meters altitude, and I've been recording there for many _____. In 1988, a _______ company convinced local residents that there would be absolutely no environmental impact from a new method they were trying called "selective logging," taking out a tree here and there rather than clear-cutting a whole area. With permission granted to record both before and after the operation, I set up my gear and captured a large number of dawn choruses to very strict protocol and calibrated recordings, because I wanted a really good baseline. This is an example of a ___________. A spectrogram is a _______ illustration of sound with time from left to right across the page — 15 seconds in this case is represented — and frequency from the bottom of the page to the top, lowest to highest. And you can see that the signature of a stream is represented here in the bottom third or half of the page, while _____ that were once in that meadow are represented in the signature across the top. There were a lot of them. And here's Lincoln Meadow before selective logging. (______ sounds) Well, a year later I returned, and using the same protocols and recording under the same __________, I recorded a number of examples of the same dawn choruses, and now this is what we've got. This is after selective logging. You can see that the stream is still represented in the bottom third of the page, but notice what's missing in the top two thirds. (Nature sounds) Coming up is the sound of a woodpecker. Well, I've returned to _______ Meadow 15 times in the last 25 years, and I can tell you that the biophony, the density and diversity of that biophony, has not yet ________ to anything like it was before the _________. But here's a picture of Lincoln Meadow taken after, and you can see that from the perspective of the camera or the human eye, hardly a stick or a tree appears to be out of place, which would confirm the logging company's contention that there's nothing of environmental impact. However, our ears tell us a very different story. _____ students are always asking me what these animals are saying, and really I've got no idea. But I can tell you that they do express themselves. Whether or not we understand it is a different story. I was walking along the _____ in Alaska, and I came across this tide pool ______ with a colony of sea anemones, these wonderful eating machines, relatives of coral and _________. And curious to see if any of them made any _____, I dropped a hydrophone, an underwater __________ covered in rubber, down the mouth part, and ___________ the _______ began to absorb the microphone into its belly, and the tentacles were searching out of the surface for something of ___________ value. The static-like ______ that are very low, that you're going to hear right now. (Static sounds) Yeah, but watch. When it didn't find anything to eat — (Honking sound) (Laughter) I think that's an expression that can be understood in any language. (Laughter) At the end of its breeding cycle, the Great Basin Spadefoot toad digs itself down about a meter under the hard-panned desert soil of the American West, where it can stay for many seasons until conditions are just right for it to emerge again. And when there's enough moisture in the soil in the spring, _____ will dig themselves to the _______ and gather around these large, vernal pools in _____ numbers. And they ________ in a chorus that's absolutely in sync with one another. And they do that for two _______. The first is competitive, because they're looking for mates, and the second is cooperative, because if they're all vocalizing in sync together, it makes it really difficult for predators like coyotes, foxes and owls to single out any individual for a meal. This is a spectrogram of what the frog chorusing looks like when it's in a very _______ pattern. (Frogs croaking) Mono Lake is just to the east of Yosemite National Park in __________, and it's a favorite _______ of these toads, and it's also favored by U.S. Navy jet pilots, who _____ in their fighters flying them at ______ exceeding 1,100 kilometers an hour and altitudes only a couple hundred meters above ground _____ of the Mono Basin, very fast, very low, and so loud that the anthrophony, the human noise, even though it's six and a half kilometers from the frog pond you just heard a second ago, it masked the sound of the chorusing toads. You can see in this spectrogram that all of the energy that was once in the first spectrogram is gone from the top end of the spectrogram, and that there's breaks in the chorusing at two and a half, four and a half, and six and a half seconds, and then the sound of the jet, the signature, is in yellow at the very ______ of the page. (Frogs ________) Now at the end of that flyby, it took the frogs fully 45 minutes to regain their chorusing _____________, during which time, and under a full moon, we watched as two coyotes and a great horned owl came in to pick off a few of their numbers. The good news is that, with a little bit of habitat restoration and fewer flights, the frog populations, once diminishing during the 1980s and early '90s, have ______ much returned to normal. I want to end with a story told by a beaver. It's a very sad story, but it really illustrates how animals can sometimes show emotion, a very controversial _______ among some older biologists. A colleague of mine was recording in the American Midwest around this pond that had been formed maybe 16,000 years ago at the end of the last ice age. It was also formed in part by a beaver dam at one end that held that whole ecosystem together in a very delicate balance. And one _________, while he was recording, there suddenly appeared from out of nowhere a couple of game wardens, who for no apparent reason, walked over to the beaver dam, _______ a stick of dynamite down it, blowing it up, _______ the female and her young babies. Horrified, my colleagues remained behind to gather his thoughts and to record whatever he could the rest of the afternoon, and that evening, he captured a remarkable event: the lone _________ male beaver swimming in slow circles crying out ____________ for its lost mate and _________. This is probably the saddest sound I've ever heard ______ from any ________, _____ or other. (______ crying) Yeah. Well. There are many ______ to soundscapes, among them the ways in which animals ______ us to dance and sing, which I'll save for another time. But you have heard how biophonies help clarify our understanding of the _______ world. You've heard the ______ of resource extraction, human noise and habitat ___________. And where _____________ sciences have typically tried to understand the world from what we see, a much fuller understanding can be got from what we hear. Biophonies and geophonies are the _________ voices of the natural world, and as we hear them, we're endowed with a _____ of place, the true story of the world we live in. In a matter of seconds, a soundscape _______ much more information from many perspectives, from quantifiable data to cultural inspiration. Visual capture __________ frames a _______ frontal perspective of a given spatial context, while soundscapes widen that scope to a full 360 degrees, completely enveloping us. And while a picture may be worth 1,000 _____, a soundscape is worth 1,000 pictures. And our ears tell us that the whisper of every leaf and creature speaks to the natural _______ of our lives, which indeed may hold the _______ of love for all things, especially our own humanity, and the last word goes to a jaguar from the Amazon. (Growling) Thank you for listening. (Applause)

Solution


  1. amazon
  2. afternoon
  3. years
  4. young
  5. shore
  6. immediately
  7. healthy
  8. sources
  9. magnificence
  10. subject
  11. killing
  12. words
  13. biophony
  14. player
  15. springs
  16. vocalize
  17. violin
  18. rainforest
  19. environmental
  20. temperate
  21. altogether
  22. spectrum
  23. destruction
  24. nutritional
  25. taught
  26. organisms
  27. sounds
  28. facets
  29. graphic
  30. reasons
  31. beaver
  32. generated
  33. birds
  34. planet
  35. basic
  36. limited
  37. filled
  38. surface
  39. human
  40. nonbiological
  41. nature
  42. surviving
  43. microphone
  44. sound
  45. reveals
  46. noise
  47. controlled
  48. jellyfish
  49. possibilities
  50. numbers
  51. offspring
  52. drive
  53. share
  54. sense
  55. habitats
  56. insects
  57. soundscapes
  58. inconsolably
  59. methods
  60. california
  61. unlocked
  62. frogs
  63. lincoln
  64. organism
  65. habitat
  66. hours
  67. species
  68. synchronicity
  69. material
  70. critter
  71. dropped
  72. arrive
  73. implicitly
  74. organized
  75. instantaneous
  76. pretty
  77. speeds
  78. bottom
  79. signature
  80. viruses
  81. croaking
  82. evaluate
  83. operation
  84. hearing
  85. tropical
  86. secrets
  87. natural
  88. coming
  89. spectrogram
  90. train
  91. level
  92. heard
  93. impact
  94. great
  95. conditions
  96. returned
  97. waves
  98. logging
  99. counting

Original Text


(Nature sounds) When I first began recording wild soundscapes 45 years ago, I had no idea that ants, insect larvae, sea anemones and viruses created a sound signature. But they do. And so does every wild habitat on the planet, like the Amazon rainforest you're hearing behind me. In fact, temperate and tropical rainforests each produce a vibrant animal orchestra, that instantaneous and organized expression of insects, reptiles, amphibians, birds and mammals. And every soundscape that springs from a wild habitat generates its own unique signature, one that contains incredible amounts of information, and it's some of that information I want to share with you today. The soundscape is made up of three basic sources. The first is the geophony, or the nonbiological sounds that occur in any given habitat, like wind in the trees, water in a stream, waves at the ocean shore, movement of the Earth. The second of these is the biophony. The biophony is all of the sound that's generated by organisms in a given habitat at one time and in one place. And the third is all of the sound that we humans generate that's called anthrophony. Some of it is controlled, like music or theater, but most of it is chaotic and incoherent, which some of us refer to as noise. There was a time when I considered wild soundscapes to be a worthless artifact. They were just there, but they had no significance. Well, I was wrong. What I learned from these encounters was that careful listening gives us incredibly valuable tools by which to evaluate the health of a habitat across the entire spectrum of life. When I began recording in the late '60s, the typical methods of recording were limited to the fragmented capture of individual species like birds mostly, in the beginning, but later animals like mammals and amphibians. To me, this was a little like trying to understand the magnificence of Beethoven's Fifth Symphony by abstracting the sound of a single violin player out of the context of the orchestra and hearing just that one part. Fortunately, more and more institutions are implementing the more holistic models that I and a few of my colleagues have introduced to the field of soundscape ecology. When I began recording over four decades ago, I could record for 10 hours and capture one hour of usable material, good enough for an album or a film soundtrack or a museum installation. Now, because of global warming, resource extraction, and human noise, among many other factors, it can take up to 1,000 hours or more to capture the same thing. Fully 50 percent of my archive comes from habitats so radically altered that they're either altogether silent or can no longer be heard in any of their original form. The usual methods of evaluating a habitat have been done by visually counting the numbers of species and the numbers of individuals within each species in a given area. However, by comparing data that ties together both density and diversity from what we hear, I'm able to arrive at much more precise fitness outcomes. And I want to show you some examples that typify the possibilities unlocked by diving into this universe. This is Lincoln Meadow. Lincoln Meadow's a three-and-a-half-hour drive east of San Francisco in the Sierra Nevada Mountains, at about 2,000 meters altitude, and I've been recording there for many years. In 1988, a logging company convinced local residents that there would be absolutely no environmental impact from a new method they were trying called "selective logging," taking out a tree here and there rather than clear-cutting a whole area. With permission granted to record both before and after the operation, I set up my gear and captured a large number of dawn choruses to very strict protocol and calibrated recordings, because I wanted a really good baseline. This is an example of a spectrogram. A spectrogram is a graphic illustration of sound with time from left to right across the page — 15 seconds in this case is represented — and frequency from the bottom of the page to the top, lowest to highest. And you can see that the signature of a stream is represented here in the bottom third or half of the page, while birds that were once in that meadow are represented in the signature across the top. There were a lot of them. And here's Lincoln Meadow before selective logging. (Nature sounds) Well, a year later I returned, and using the same protocols and recording under the same conditions, I recorded a number of examples of the same dawn choruses, and now this is what we've got. This is after selective logging. You can see that the stream is still represented in the bottom third of the page, but notice what's missing in the top two thirds. (Nature sounds) Coming up is the sound of a woodpecker. Well, I've returned to Lincoln Meadow 15 times in the last 25 years, and I can tell you that the biophony, the density and diversity of that biophony, has not yet returned to anything like it was before the operation. But here's a picture of Lincoln Meadow taken after, and you can see that from the perspective of the camera or the human eye, hardly a stick or a tree appears to be out of place, which would confirm the logging company's contention that there's nothing of environmental impact. However, our ears tell us a very different story. Young students are always asking me what these animals are saying, and really I've got no idea. But I can tell you that they do express themselves. Whether or not we understand it is a different story. I was walking along the shore in Alaska, and I came across this tide pool filled with a colony of sea anemones, these wonderful eating machines, relatives of coral and jellyfish. And curious to see if any of them made any noise, I dropped a hydrophone, an underwater microphone covered in rubber, down the mouth part, and immediately the critter began to absorb the microphone into its belly, and the tentacles were searching out of the surface for something of nutritional value. The static-like sounds that are very low, that you're going to hear right now. (Static sounds) Yeah, but watch. When it didn't find anything to eat — (Honking sound) (Laughter) I think that's an expression that can be understood in any language. (Laughter) At the end of its breeding cycle, the Great Basin Spadefoot toad digs itself down about a meter under the hard-panned desert soil of the American West, where it can stay for many seasons until conditions are just right for it to emerge again. And when there's enough moisture in the soil in the spring, frogs will dig themselves to the surface and gather around these large, vernal pools in great numbers. And they vocalize in a chorus that's absolutely in sync with one another. And they do that for two reasons. The first is competitive, because they're looking for mates, and the second is cooperative, because if they're all vocalizing in sync together, it makes it really difficult for predators like coyotes, foxes and owls to single out any individual for a meal. This is a spectrogram of what the frog chorusing looks like when it's in a very healthy pattern. (Frogs croaking) Mono Lake is just to the east of Yosemite National Park in California, and it's a favorite habitat of these toads, and it's also favored by U.S. Navy jet pilots, who train in their fighters flying them at speeds exceeding 1,100 kilometers an hour and altitudes only a couple hundred meters above ground level of the Mono Basin, very fast, very low, and so loud that the anthrophony, the human noise, even though it's six and a half kilometers from the frog pond you just heard a second ago, it masked the sound of the chorusing toads. You can see in this spectrogram that all of the energy that was once in the first spectrogram is gone from the top end of the spectrogram, and that there's breaks in the chorusing at two and a half, four and a half, and six and a half seconds, and then the sound of the jet, the signature, is in yellow at the very bottom of the page. (Frogs croaking) Now at the end of that flyby, it took the frogs fully 45 minutes to regain their chorusing synchronicity, during which time, and under a full moon, we watched as two coyotes and a great horned owl came in to pick off a few of their numbers. The good news is that, with a little bit of habitat restoration and fewer flights, the frog populations, once diminishing during the 1980s and early '90s, have pretty much returned to normal. I want to end with a story told by a beaver. It's a very sad story, but it really illustrates how animals can sometimes show emotion, a very controversial subject among some older biologists. A colleague of mine was recording in the American Midwest around this pond that had been formed maybe 16,000 years ago at the end of the last ice age. It was also formed in part by a beaver dam at one end that held that whole ecosystem together in a very delicate balance. And one afternoon, while he was recording, there suddenly appeared from out of nowhere a couple of game wardens, who for no apparent reason, walked over to the beaver dam, dropped a stick of dynamite down it, blowing it up, killing the female and her young babies. Horrified, my colleagues remained behind to gather his thoughts and to record whatever he could the rest of the afternoon, and that evening, he captured a remarkable event: the lone surviving male beaver swimming in slow circles crying out inconsolably for its lost mate and offspring. This is probably the saddest sound I've ever heard coming from any organism, human or other. (Beaver crying) Yeah. Well. There are many facets to soundscapes, among them the ways in which animals taught us to dance and sing, which I'll save for another time. But you have heard how biophonies help clarify our understanding of the natural world. You've heard the impact of resource extraction, human noise and habitat destruction. And where environmental sciences have typically tried to understand the world from what we see, a much fuller understanding can be got from what we hear. Biophonies and geophonies are the signature voices of the natural world, and as we hear them, we're endowed with a sense of place, the true story of the world we live in. In a matter of seconds, a soundscape reveals much more information from many perspectives, from quantifiable data to cultural inspiration. Visual capture implicitly frames a limited frontal perspective of a given spatial context, while soundscapes widen that scope to a full 360 degrees, completely enveloping us. And while a picture may be worth 1,000 words, a soundscape is worth 1,000 pictures. And our ears tell us that the whisper of every leaf and creature speaks to the natural sources of our lives, which indeed may hold the secrets of love for all things, especially our own humanity, and the last word goes to a jaguar from the Amazon. (Growling) Thank you for listening. (Applause)

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
lincoln meadow 4
began recording 3
wild soundscapes 2
wild habitat 2
environmental impact 2
selective logging 2



Important Words


  1. absolutely
  2. absorb
  3. abstracting
  4. afternoon
  5. age
  6. alaska
  7. album
  8. altered
  9. altitude
  10. altitudes
  11. altogether
  12. amazon
  13. american
  14. amounts
  15. amphibians
  16. anemones
  17. animal
  18. animals
  19. anthrophony
  20. ants
  21. apparent
  22. appeared
  23. appears
  24. applause
  25. archive
  26. area
  27. arrive
  28. artifact
  29. babies
  30. balance
  31. baseline
  32. basic
  33. basin
  34. beaver
  35. began
  36. beginning
  37. belly
  38. biologists
  39. biophonies
  40. biophony
  41. birds
  42. bit
  43. blowing
  44. bottom
  45. breaks
  46. breeding
  47. calibrated
  48. california
  49. called
  50. camera
  51. capture
  52. captured
  53. careful
  54. case
  55. chaotic
  56. chorus
  57. choruses
  58. chorusing
  59. circles
  60. clarify
  61. colleague
  62. colleagues
  63. colony
  64. coming
  65. company
  66. comparing
  67. competitive
  68. completely
  69. conditions
  70. confirm
  71. considered
  72. contention
  73. context
  74. controlled
  75. controversial
  76. convinced
  77. cooperative
  78. coral
  79. counting
  80. couple
  81. covered
  82. coyotes
  83. created
  84. creature
  85. critter
  86. croaking
  87. crying
  88. cultural
  89. curious
  90. cycle
  91. dam
  92. dance
  93. data
  94. dawn
  95. decades
  96. degrees
  97. delicate
  98. density
  99. desert
  100. destruction
  101. difficult
  102. dig
  103. digs
  104. diminishing
  105. diversity
  106. diving
  107. drive
  108. dropped
  109. dynamite
  110. early
  111. ears
  112. earth
  113. east
  114. eat
  115. eating
  116. ecology
  117. ecosystem
  118. emerge
  119. emotion
  120. encounters
  121. endowed
  122. energy
  123. entire
  124. enveloping
  125. environmental
  126. evaluate
  127. evaluating
  128. evening
  129. examples
  130. exceeding
  131. express
  132. expression
  133. extraction
  134. eye
  135. facets
  136. fact
  137. factors
  138. fast
  139. favored
  140. favorite
  141. female
  142. field
  143. fighters
  144. filled
  145. film
  146. find
  147. fitness
  148. flights
  149. flyby
  150. flying
  151. form
  152. formed
  153. fortunately
  154. foxes
  155. fragmented
  156. frames
  157. francisco
  158. frequency
  159. frog
  160. frogs
  161. frontal
  162. full
  163. fuller
  164. fully
  165. game
  166. gather
  167. gear
  168. generate
  169. generated
  170. generates
  171. geophonies
  172. geophony
  173. global
  174. good
  175. granted
  176. graphic
  177. great
  178. ground
  179. growling
  180. habitat
  181. habitats
  182. health
  183. healthy
  184. hear
  185. heard
  186. hearing
  187. held
  188. highest
  189. hold
  190. holistic
  191. honking
  192. horned
  193. horrified
  194. hour
  195. hours
  196. human
  197. humanity
  198. humans
  199. hydrophone
  200. ice
  201. idea
  202. illustrates
  203. illustration
  204. immediately
  205. impact
  206. implementing
  207. implicitly
  208. incoherent
  209. inconsolably
  210. incredible
  211. incredibly
  212. individual
  213. individuals
  214. information
  215. insect
  216. insects
  217. inspiration
  218. installation
  219. instantaneous
  220. institutions
  221. introduced
  222. jaguar
  223. jellyfish
  224. jet
  225. killing
  226. kilometers
  227. lake
  228. language
  229. large
  230. larvae
  231. late
  232. laughter
  233. leaf
  234. learned
  235. left
  236. level
  237. life
  238. limited
  239. lincoln
  240. listening
  241. live
  242. lives
  243. local
  244. logging
  245. lone
  246. longer
  247. lost
  248. lot
  249. loud
  250. love
  251. lowest
  252. machines
  253. magnificence
  254. male
  255. mammals
  256. masked
  257. mate
  258. material
  259. mates
  260. matter
  261. meadow
  262. meal
  263. meter
  264. meters
  265. method
  266. methods
  267. microphone
  268. midwest
  269. minutes
  270. missing
  271. models
  272. moisture
  273. mono
  274. moon
  275. mountains
  276. mouth
  277. movement
  278. museum
  279. music
  280. national
  281. natural
  282. nature
  283. navy
  284. nevada
  285. news
  286. noise
  287. nonbiological
  288. normal
  289. notice
  290. number
  291. numbers
  292. nutritional
  293. occur
  294. ocean
  295. offspring
  296. older
  297. operation
  298. orchestra
  299. organism
  300. organisms
  301. organized
  302. original
  303. outcomes
  304. owl
  305. owls
  306. page
  307. park
  308. part
  309. pattern
  310. percent
  311. permission
  312. perspective
  313. perspectives
  314. pick
  315. picture
  316. pictures
  317. pilots
  318. place
  319. planet
  320. player
  321. pond
  322. pool
  323. pools
  324. populations
  325. possibilities
  326. precise
  327. predators
  328. pretty
  329. produce
  330. protocol
  331. protocols
  332. quantifiable
  333. radically
  334. rainforest
  335. rainforests
  336. reason
  337. reasons
  338. record
  339. recorded
  340. recording
  341. recordings
  342. refer
  343. regain
  344. relatives
  345. remained
  346. remarkable
  347. represented
  348. reptiles
  349. residents
  350. resource
  351. rest
  352. restoration
  353. returned
  354. reveals
  355. rubber
  356. sad
  357. saddest
  358. san
  359. save
  360. sciences
  361. scope
  362. sea
  363. searching
  364. seasons
  365. seconds
  366. secrets
  367. selective
  368. sense
  369. set
  370. share
  371. shore
  372. show
  373. sierra
  374. signature
  375. significance
  376. silent
  377. sing
  378. single
  379. slow
  380. soil
  381. sound
  382. sounds
  383. soundscape
  384. soundscapes
  385. soundtrack
  386. sources
  387. spadefoot
  388. spatial
  389. speaks
  390. species
  391. spectrogram
  392. spectrum
  393. speeds
  394. spring
  395. springs
  396. static
  397. stay
  398. stick
  399. story
  400. stream
  401. strict
  402. students
  403. subject
  404. suddenly
  405. surface
  406. surviving
  407. swimming
  408. symphony
  409. sync
  410. synchronicity
  411. taught
  412. temperate
  413. tentacles
  414. theater
  415. thirds
  416. thoughts
  417. tide
  418. ties
  419. time
  420. times
  421. toad
  422. toads
  423. today
  424. told
  425. tools
  426. top
  427. train
  428. tree
  429. trees
  430. tropical
  431. true
  432. typical
  433. typically
  434. typify
  435. understand
  436. understanding
  437. understood
  438. underwater
  439. unique
  440. universe
  441. unlocked
  442. usable
  443. usual
  444. valuable
  445. vernal
  446. vibrant
  447. violin
  448. viruses
  449. visual
  450. visually
  451. vocalize
  452. vocalizing
  453. voices
  454. walked
  455. walking
  456. wanted
  457. wardens
  458. warming
  459. watch
  460. watched
  461. water
  462. waves
  463. ways
  464. west
  465. whisper
  466. widen
  467. wild
  468. wind
  469. wonderful
  470. woodpecker
  471. word
  472. words
  473. world
  474. worth
  475. worthless
  476. wrong
  477. yeah
  478. year
  479. years
  480. yellow
  481. yosemite
  482. young