Geographer helps document changing climate鈥檚 disruption of migratory birds
Climate change is altering tree-leafing dates faster than birds are adapting, researchers find
Stefan Leyk really isn鈥檛 much of an ornithologist, but the geographical savvy of the associate professor at the University of 欧美口爆视频 Boulder did help lead to a startling study in how climate change is knocking some migratory species off kilter.
鈥淭his actually started here at 欧美口爆视频,鈥 said Leyk, whose specialties in the Geography Department include uncertainty modeling, small-area estimation and cartographic pattern recognition.
鈥淭hey were basically interested in my expertise in geographical information science, and much of the work was done here on the 欧美口爆视频 campus. I don鈥檛 know a lot about birds, but I鈥檓 very interested in understanding complex systems, and it turns out that includes bird migration.鈥
A postdoctoral researcher at the University of Florida, Stephen Mayor, and his mentor, Robert Guralnick, associate curator of bioinformatics at the Florida Museum, led the study that appeared in Scientific Reports in May.
However, Mayor and Guralnick were at 欧美口爆视频 Boulder鈥檚 Department of Ecology and Evolutionary Biology (EBIO) when they approached Leyk about participating in the study. Javier Otegui, another former researcher at EBIO, also participated in the study, along with Sarah C. Elmendorf, of the National Ecological Observatory Network in Boulder, and researchers from Illinois, New Hampshire and Australia.
The study focused on North American songbirds and found that nine species were having the most trouble contending with changing green-up dates, including great crested flycatchers, indigo buntings, scarlet tanagers, rose-breasted grosbeaks, eastern wood-pewees, yellow-billed cuckoos, northern parulas, blue-winged warblers and Townsend's warblers.
While the majority of the 48 species studied changed migration dates to follow changes in the green-up dates, the study noted that most species are not adjusting as fast as the climatic change was occurring.
Leyk鈥檚 expertise was tapped for incorporating suitable remote sensing data that would best measure when the green-up dates 鈥 essentially when the trees leaf out 鈥 were occurring, and correlating that with data on the arrival of the migrating species within different larger ecoregions. The entire North American continent was subdivided into 200-square-km segments to establish the change in green-up dates from 2001 through 2012.
鈥淥bviously you need good temporal resolution (to pinpoint green-up to specific days), and that usually comes at the price of spatial resolution,鈥 Leyk said. 鈥淏ut one of the more interesting things we saw was that while green-up was coming earlier and earlier in eastern forests, it is largely being delayed in western forests 鈥 an effect that we discovered through a regional differentiation.鈥
The climate data were correlated with huge volumes of information available through citizen birdwatching groups throughout the continent, which Leyk also found intriguing. He said the study has given him some insight in how much data can be generated from volunteer observers, and given him a profound respect for the millions of people 鈥 an estimated 60 million in the United States alone -- who contribute their time to bird-watching studies
鈥淚 see the success in the study in that it鈥檚 a highly collaborative endeavor. At its core is climate change and extremely complex systems,鈥 Leyk said. 鈥淭here鈥檚 a lot of physical modeling underlying the study, which here is combined with the very remarkable idea of using citizen science observations. It鈥檚 an unbelievably large volume of data.鈥
Leyk said the study has opened his eyes to using volunteer observers in this kind of study 鈥 sort of a crowdsourcing for science. The migratory bird study is already being advanced to look more deeply into regionally defined areas, he said.
鈥淭he high density of data can allow you to look at specific regions more closely,鈥 he said. 鈥淵ou can see the power of citizen science data to do a study on multiple geographic scales.鈥