|Fossil site in Patagonia, Argentina.|
Most people hardly notice what's on the ground beneath their feet. But to researchers like Regan Dunn, a graduate student studying paleobotany at the University of Washington, fallen leaves provide invaluable clues to understanding how climate change impacted life on earth - and how our actions today will shape the future.
Regan is part of a team led by Caroline Strömberg, Burke Curator of Paleobotany, that is studying 40 to 18 million-year-old plant and animal fossils found in Patagonia, Argentina. “This was a time with major climate change and some extinction events, so we really want to understand how vegetation was affected by these changes.”
To understand the impact of climate change on Patagonia’s vegetation, they set out to reconstruct what types of vegetation existed in ancient Patagonia. To collect data, Regan visited Costa Rica - which has a modern climate similar to that of ancient Patagonia.
The data she was after? Phytoliths - tiny, glass-like fossils left behind after plants decompose in soil.
|The forest floor in Costa Rica. |
Photo by Melanie Connor.
With the sounds of birds and bugs providing constant reminders of the ecosystem surrounding her, Regan carefully gathered more than 200 soil samples filled with millions of phytoliths and photographed the surrounding vegetation.
Since the trip to Costa Rica, Regan and undergraduate student Aiden Loeser have been examining the plant fossils in these modern day soil samples in hope they can apply the patterns observed in nature today to fossil phytolith samples from Patagonia.
With more research, they hope to reconstruct the ancient vegetation of Patagonia and better understand how climate change impacted its ancient landscape - with the hope that this knowledge will help us understand how ecosystems like those in Costa Rica may change in the future.
Visit our website to learn more about Paleontology research and collections at the Burke Museum.
By Cathy Britt, Digital Communications
Video by Melanie Connor
This material is based upon work supported by the National Science Foundation under Grants No. EAR-0819910 and DEB-1110354. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.