Wednesday, August 9, 2017
C124, Oregon Convention Center
Sydne Record1, Phoebe Zarnetske2, Kyla Dahlin3, Jennifer K. Costanza4, Andrew O. Finley5, Keith Gaddis6, John M Grady7, Martina L. Hobi8, Andrew M. Latimer9, Sparkle Malone10, Scott Ollinger11, Stephanie Pau12, Quentin D. Read5, Woody Turner13 and Adam M. Wilson14, (1)Biology, Bryn Mawr College, Bryn Mawr, PA, (2)Department of Integrative Biology, Michigan State University, East Lansing, MI, (3)Geography, Environment, & Spatial Sciences, Michigan State University, East Lansing, MI, (4)Department of Biology, North Carolina State University, Raleigh, NC, (5)Department of Forestry, Michigan State University, East Lansing, MI, (6)Earth Science Division, NASA, Washington, DC, (7)Department of Biology, Bryn Mawr College, PA, (8)Swiss Federal Institute, Switzerland, (9)Plant Sciences, University of California Davis, Davis, CA, (10)Rocky Mountain Research Station, USDA Forest Service, Fort Collins, CO, (11)Earth Systems Research Center, University of New Hampshire, Durham, NH, (12)Department of Geography, Florida State University, Tallahassee, FL, (13)Applied Sciences Program, NASA, Washington, DC, (14)Department of Geography, University at Buffalo, Buffalo, NY
In order to understand and predict changes in biodiversity patterns, scientists need robust data on geophysical drivers that influence patterns of biodiversity – the earth’s geodiversity. The relative importance of these drivers is likely to vary across spatial and temporal scales owing to differences among species’ life history traits, adaptation, niche differentiation, biotic interactions, habitat productivity, environmental variability, chance, and biogeographical constraints. This NASA Biodiversity working group is combining remote sensing and point-referenced biodiversity data to uncover scaling relationships between different forms of biodiversity and geodiversity.
