Menu

Slipping into a patch of woods in western Dane County, Jim Berkelman ignores the swarming mosquitoes and strains to sort through the early- morning chatter of warblers, robins and vireos and the nearby drum of a pileated woodpecker. “I’m hearing something I wouldn’t expect to hear,” says Berkelman, a lecturer in the Department of Forest and Wildlife Ecology at CALS and a volunteer contributor to the Wisconsin Breeding Bird Atlas II, a comprehensive, volunteer-powered survey of birds that nest in Wisconsin.

Experienced birders use their ears as much as their eyes to identify species, and Berkelman thinks he hears a northern parula, a small warbler that doesn’t typically nest this far south. Finding a bird, Berkelman explains, is only the start. The point of the Atlas, he notes, is to identify and map where birds in Wisconsin are courting, nesting, breeding and raising their broods.

To be sure of that, “atlasers,” as volunteer observers like Berkelman are called, must find tangible evidence that a species has actually taken up residence. A nest, of course, is the most obvious clue. But most birds are assiduously covert in their nesting and only conspicuous players like robins, herons, orioles, house wrens and bluebirds construct their nests in ways that make them easy to find and identify.

Other definitive hallmarks of breeding birds include observations of birds carrying nesting material or food for nestlings; distraction displays where birds seek to draw animals, other birds or humans away from a nest; and, of course, fledglings. Some bird species are fastidious as well and carry fecal matter away from occupied nests. Such an observation is also a telltale sign of breeding and can be used by an atlaser to confirm breeding activity and provide a new data point that science can ultimately draw on.

bird in tree
Birding with a purpose: Citizens provide data for Wisconsin’s new Breeding Bird Atlas. Banner photo: Jim Berkelman scanning the field and trees for movement.

Following a rising wooded path to the top of a hill, Berkelman’s rounds on this warm June day encompass two different types of ecosystems: forest, and open fields and prairie. His block is designated as a “priority block,” a specified block within a six-block “quad” on a grid of more than 7,000 three-mile-by-three-mile blocks that covers Wisconsin. Within that grid are 1,175 priority blocks, each of which requires at least a year’s documentation of breeding birds within a five-year period to ensure that the state is uniformly surveyed for the new Atlas. In addition, there are 153 “specialty blocks” that have unique habitat, are of high conservation value or are of particular interest to ornithologists.

Today, Berkelman is recording his data the old-fashioned way: with pen and notebook. Later, he can plug his observations into Atlas eBird, an online checklist program that is a direct conduit to the database that is the bedrock of the Wisconsin Breeding Bird Atlas.

Data, of course, are the raw material of science. Astronomers gather it by measuring and parsing starlight. Molecular biologists get data by plumbing the sequence of the chemical base pairs that make up a gene or genome. Meteorologists numerically dissect the many variables of weather—temperature, precipitation, wind, clouds.

To be sure, most data collection is a laborious and numbing process—the antithesis of the eureka moment. Harvesting data can be very expensive, too, as the tools of modern science have become bigger, more complex and more powerful in their ability to see farther or smaller, drill deeper, or accelerate particles to higher energies. Indeed, much of what we hear about modern scientific discovery rests on the pillars of sophisticated technology. Think of the Hubble Space Telescope, the Large Hadron Collider, the IceCube Neutrino Observatory and the Human Genome Project as just a few examples.

But while technology is taking science to new heights, it’s also giving a boost to the age-old methods of data gathering like the ones Berkelman uses in his efforts to document the presence of breeding birds. The Internet and personal computing technology are being used like never before to crowd-source traditional observational data collected by a growing cadre of citizen scientists. Groups of people or individuals armed with laptops and app-laden smartphones are collectively logging everything from trash in the ocean and flying ants to cosmic rays and precipitation, giving working scientists access to oceans of new data and the revelations that come from subsequent analysis and interpretation.

Zuckerburg with student
Ben Zuckerberg (right), a professor of forest and wildlife ecology, has been working with Atlas coordinators. Here he assists doctoral student Christopher Latimer in a field project on wintering birds. They capture birds, take measurements, and mark each bird with a band and a device called a passive integrated transponder to track movements and feeding behavior.

In the realm of ecology, citizen science has gained a new standing as researchers have tapped into the potential of an interested public. Citizen science projects, mapping things like the presence and behaviors of bumblebees, manta rays, butterflies and bats, have fueled dozens of published studies.

It’s proven to be a powerful resource for Ben Zuckerberg, a professor of forest and wildlife ecology at CALS. North American birds and their distribution on a changing landscape are a primary focus of his research, a significant portion of which depends on data gathered by volunteer observers.

For instance, Zuckerberg and post-doctoral fellow Karine Princé drew on citizen science data to tell us that the cast of characters we see at our bird feeders in the winter is shifting, most likely due to climate change. Their study of wintering songbirds shows that some species, once rare during the Wisconsin winter, are shifting their ranges north, remaking the resident communities of birds that visit our backyard feeders.

The conclusions of the study rested on two decades of data gathered by thousands of citizen scientists through the Cornell University Laboratory of Ornithology’s Project Feederwatch.

“Birds have always been important environmental indicators,” Zuckerberg explains. Rapidly declining songbird populations in the 1950s and 1960s, he notes, were used to help ascertain the consequences of widespread use of the chemical insecticide DDT, which was subsequently banned, first in Wisconsin and then nationally.

The DDT story was famously informed by the unintended involvement of ordinary citizens who gathered baseline data in the form of bird eggs. In the 19th century, collecting bird eggs was a widespread hobby, an artifact of the Victorian obsession with the natural world. Many collections ended up in museums where, decades later, CALS ornithologist Joseph Hickey and his students used them to document the thinning of eggshells subsequent to the widespread introduction of DDT into the environment in the 1940s and ’50s.

Today the contributions of citizen scientists tend to be more directed, and the advent of personal computers and smartphones, in particular, are making participation easier, more immediate and more effective. And a prime example of that trend is the Wisconsin Breeding Bird Atlas, a collaborative project by the Wisconsin Department of Natural Resources (DNR), the Wisconsin Society for Ornithology, the Wisconsin Bird Conservation Initiative and the Western Great Lakes Bird and Bat Observatory.

bird
For a field project on wintering birds, researchers capture birds, take measurements, and mark each bird with a band and a device called a passive integrated transponder to track movements and feeding behavior.

This year, the group launched a second iteration of the Atlas. Zuckerberg and other scientists are working with Atlas coordinators and waiting in anticipation of a flood of new data from the project, which recruits volunteers statewide to survey thousands of designated blocks over a five-year period for evidence of breeding birds.

The first Wisconsin Breeding Bird Atlas featured data collected by nearly 1,600 volunteers between 1995 and 2000. As its name implies, the Atlas is a survey that documents the distribution and abundance of birds breeding in Wisconsin. It provides critical baseline information about bird species that live in our state and is an important benchmark in terms of assessing potential changes in bird populations over time due to things like habitat loss and climate change. It also helps document avian diversity, the state of endangered and rare bird species, and habitat needs in Wisconsin.

Such data, explains Zuckerberg, help scientists make sense of a world that involves players ranging from microbes to plants and animals, including birds. There are so many moving parts that capturing a wide snapshot of what exists where at a given point in time can give scientists insightful information about the dynamics, nuances and health of an ecosystem.

“Ecology is necessarily a messy endeavor,” Zuckerberg observes. “But at certain scales, it all becomes very clear.”

Drawing on things like Breeding Bird Atlas data, Zuckerberg and other scientists can get at the scales that matter: geography and time. As the Wisconsin Breeding Bird Atlas II effort gets under way, ecologists are laying the groundwork for analyzing the data by formulating hypotheses and ideas about what the data might show and how it will compare to data in the first iteration of the Atlas, which, according to the Wisconsin Society of Ornithology, “represented the largest coordinated field effort in the history of Wisconsin ornithology.”

Data collection for the Wisconsin Breeding Bird Atlas II began in 2015 and runs through 2019. In September the DNR released findings for the first Atlas season. Volunteers submitted nearly 24,000 checklists documenting the location and breeding activity of 229 species of birds. These early data show that wild turkeys are on the move, now populating nearly every corner of our state. And eight species of birds new to the Wisconsin breeding landscape since the last survey—including the iconic whooping crane—have cropped up in the new Atlas data.

“The stories that come out of the data are so robust,” Zuckerberg says. “We go in with our ideas of what we’re going to uncover, and some of the patterns just jump out at us.”

Continue reading this story in the Spring 2016 issue of Grow magazine.