Integration of NASA technology and wildlife ecology for use by the National Park Service (Systems Integration and Visualization of Yellowstone) Fred Watson.

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Presentation transcript:

Integration of NASA technology and wildlife ecology for use by the National Park Service (Systems Integration and Visualization of Yellowstone) Fred Watson 1*, Bob Garrott 2*, PJ White 3*, Susan Alexander 1*, Rick Wallen 3, Wendi Newman 1, Thor Anderson 1, Tom Thein 1, Jon Detka 1, Claire Gower 2, Jason Bruggeman 2+, Matt Becker 2, Sally Plumb 3, Chris Geremia 3 1 California State University Monterey Bay, 2 Montana State University Bozeman, 3 Yellowstone National Park, * Principal Investigators, + Formerly Presented at NASA Biodiversity and Ecological Forecasting Team Meeting May 2 nd 2008, University of Maryland, College Park Funding: NASA NCC & NCC , NSF DEB & DEB , and NPS EcoViz: Yellowstone Ecosystem Science and Visualization

Crew Volunteers: PIs: Staff & postgrads: Under- grads: National Parks Service:

Forest cover survey

EcoViz: Yellowstone Ecosystem Science and Visualization Landsat land cover mapping

EcoViz: Yellowstone Ecosystem Science and Visualization Meadow phenology survey

MODIS phenology

Wind data collection EcoViz: Yellowstone Ecosystem Science and Visualization

Wind field model

EcoViz: Yellowstone Ecosystem Science and Visualization Geothermal perimeter survey

EcoViz: Yellowstone Ecosystem Science and Visualization Geothermal heat flux map

EcoViz: Yellowstone Ecosystem Science and Visualization Snowpack coring

National Parks Service bison monitoring & management activities EcoViz: Yellowstone Ecosystem Science and Visualization

Bison movement

EcoViz: Yellowstone Ecosystem Science and Visualization More coring

...more coring

...more coring

...more coring

EcoViz: Yellowstone Ecosystem Science and Visualization

Key bison areas near the Park boundary

EcoViz: Yellowstone Ecosystem Science and Visualization Snowpack nowcasting

How is the nowcasting used? “The products that you sent a couple of weeks ago were fantastic and just what we needed to convey how the snowpack conditions this year compare to the 25 year range of variability. Thank you very much for those model runs!!! We used the information in the attached brief.”...

EcoViz: Yellowstone Ecosystem Science and Visualization Bison distribution ~ Road grooming doesn’t strongly influence bison travel (Bruggeman et al.)

How are the publications used? “...development of several new approaches to understand the causes, timing, and routes of migratory movements by bison (Bison bison) that, in turn, have been applied to management decisions regarding boundary control measures and the potential for brucellosis transmission to cattle (Bjornlie and Garrott 2001, Ferrari and Garrott 2002, Coughenour 2005, Gates et al. 2005, Gogan et al. 2005, Borkowski et al. 2006, Bruggeman et al. 2006, 2007; Fuller et al. 2007a, Olexa and Gogan 2007, Chapters 26-28). These studies also provide the best available scientific information from which adjudicators, park managers, and stakeholders can infer the potential effects of winter recreation and road grooming on bison and other wildlife.” White et al. (In Garrott et al., In press.)

Journal papers Book chapters

Broad, Robust, Efficient But potentially more difficult to identify linkages between specific management environments and data products (?) More focused, decisions realized within project timeframe But difficult to scale up & generalize Therefore costly This project

Key points In our experience at Yellowstone: –A bottom-up approach leads to realized outcomes in terms of National Park decision making –The bottom-up approach takes a great deal of time, resources, and teamwork –It must rest on published foundations –The dissociation of time scales for funding, collaboration, publication, and decision making heightens the challenge In the case of Yellowstone bison: –Forecasting ecological response requires careful attention to spatio- temporal pattern –This requires: spatio-temporal wildlife data, spatio-temporal landscape models, and analytical methods for relating them to each other. Can this approach be scaled for better efficiency? EcoViz: Yellowstone Ecosystem Science and Visualization