 Mark Godfrey/The Nature Conservancy |
| Wearing camouflage, Bobby Harrison, Oakwood College associate professor, searches for ivory-billed woodpeckers in the Cache River National Wildlife Refuge, Arkansas. March 2005. |
ITHACA, N.Y. -- In the bayous of Arkansas, as in other forested habitats, birds are often heard before they're seen. Recorded sounds of Campephilus principalis -- and not something else that sounds almost alike -- can be high-tech "bread crumbs," according to Russ Charif.
The biologist in the Cornell Lab of Ornithology's Bioacoustics Research Program, source of some of the world's most advanced natural-sounds recording and analysis tools, explained: "Think of these recorded sounds -- the signature double rap of the ivory-bill or its 'kent' call -- as bread crumbs leading a camouflaged photographer to the base of the tree for that once-in-a-lifetime photo."
Across the room in the bioacoustics lab, earphone-clad analysts watched intently as sound spectrograms -- visual representations of sounds -- scrolled across computer monitors. They paused every few seconds to listen to an "event" that the sound-analysis software had highlighted from thousands of hours of recordings.
Was that really the "kent" of the ivory-billed woodpecker? Or just a nuthatch, or even a snow goose, with a similar vocalization? Back in 1831, the ivory-bill's nasal sound reminded John James Audubon of "a high, false note on a clarinet." One 21st-century birder said an ivory-bill sounds "like a nuthatch on steroids."
Play it again: Was that the ivory-bill's "BAM-bam!" double knock? Nine other Campephilus species rap twice on wood to make their long-distance communication signal, but those woodpeckers all live in Central and South America. Was this the "BAM-bam!" that would finally lead searchers to North America's most elusive bird? Or just another gunshot?
Whatever the source, the sounds first had to be recorded:
In deciding where to deploy the recording units, the Cornell surveyors said they tried to think like a hungry ivory-bill or an egg-laying beetle, asking themselves: Where are the dying trees with beetle larvae under the bark, where a woodpecker might feed? They used infrared aerial photography to find what they called "pink [in infrared rendition] bathtub rings" of stressed trees around pools of water. If beetle larvae were under the bark of the stressed trees, then maybe -- just maybe -- ivory-billed woodpeckers would find the trees, tear off the bark in a process called scaling and feed.
The surveyors in the field didn't know if their think-like-a-beetle strategy was paying off until the recordings were analyzed in the Ithaca laboratory, and that was a daunting task:
Archival recordings of ivory-billed woodpeckers were critical to the detection software and the human analysts. Although no record of the ivory-bill's double-rap sound existed until the 2004-05 survey, the bioacoustic scientists have good-quality recordings of vocalizations from the 1935 expedition to Louisiana's Tensas River by Cornell ornithologists Peter Paul Kellogg, Arthur A. Allen, George Sutton and James T. Tanner. On the soundtrack of motion picture film, the 1935 team successfully recorded an adult pair of ivory-bills and their young at the nest. This recording -- the first ever made of the voice of the ivory-bill -- provided the "template" that the detection software attempted to match and guided the decisions of the analysts about which sounds were the most interesting.
"Automation is great," Charif said, "but the real gold standard, in the final analysis, is still the human ear."
Nevertheless, the veteran of earlier bioacoustic searches -- before XBAT and other tools became available -- wanted to save human ears for what they do best. He observed that if the ivory-bill survey relied on human ears alone, those humans would have had to remain attentive through tens of thousands of hours of recordings -- to catch the few seconds that the ivory-bill searchers were looking for. By then, the results would have been too late to be of any real use.
"With XBAT," Charif said, "we enable our trained, expert ears to concentrate on the relatively tiny percentage of the entire data set that really warrants their attention."
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