Where to play and spend money while on vacation depends on characteristics of the environment. To correctly value ecosystems, researchers must account for outdoor recreational opportunities and understand how changes in the environment lead to changes in visitation rates.

But that information is costly and hard to get because site-specific data are necessary to predict how changes in the environment will lead to changes in visitation rates. In most places, particularly developing countries, scientists lack data on where people go.

Social media may provide an answer, says Stanford Woods Institute-affiliated postdocotral scholar Spencer Wood, a marine ecologist at the Natural Capital Project. Wood detailed his work in a presentation titled "Social Media as Data on the Recreational Value of Coastal Areas" at the annual meeting of the American Association for the Advancement of Science (AAAS) in Boston on Feb. 15. 

Wood uses geotagged photo locations that have been posted to social media sites to create an estimate of the number of "user-days" for locations around the world. By illuminating where people go, this approach permits predictive models of how visitation rate will change given future changes in natural and built environments.

"This novel use of crowd-sourced information can not only break the logjam of expensive empirical data requirements to enable prediction and valuation of recreation and tourism after changes in the landscape, but also can provide revolutionary new sources of information for understanding all manner of questions about where people go," Wood says.

Six Stanford Woods Institute researchers and four fellows with the Woods-based Leopold Leadership Program are taking part in the AAAS meeting, the world's largest general scientific conference. They are providing scientific updates on topics ranging from extreme weather and climate change to ocean predator tracking and food security.


Photo by Kglavin