ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains National Park
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ATBI Mapping Program: Where Do All These Species Live? – Tanner Jessel The ATBI not only focuses on scientific research and education, but also on conservation stewardship of the national park. One of the most valuable conservation questions it is answering is: Where do the thousands of species that call the Smokies "home" actually live? To date the ATBI not only has dot maps for almost all the species, but for those with enough (>30) point locations our partners at the University of Tennessee can produce "predictive models" of where they occur over the entire 800+ square mile park... an Atlas of Species!
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ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains National Park
- 1. Species Distribution Models for Great Smoky Mountains N.P. Tanner Jessel School of Information Sciences The University of Tennessee ATBI Mapping Program
- 2. • Discover Life in America (DLIA) • National Park Service (NPS) • The University of Tennessee (UTK) – College of Engineering, Dept. of Electrical Engineering and Computer Science (EECS) • National Institute for Mathematical and Biological Synthesis (NIMBios) Collaboration
- 3. Source: Global Biodiversity Information Facility Where do all the species live? 274,120 occurrence records
- 5. Where Does Fraser Fir Live?
- 6. Where Does Fraser Fir Live?
- 7. Source: LANDSAT program Remote Sensing Satellite image of Great Smoky Mountains
- 8. Source: ATBI Database Physical Inventory Visualization of Fraser fir record locations
- 9. Source: Alltaxa Web Interface Predictive Modelling Predictive model of Fraser Fir (Abies fraseri)
- 10. Environmental Variables • Continuous – Digital Elevation Model – Solar radiation – Topographic convergence index • Categorical – Bedrock geology – Soil organic type – Slope in degrees – Terrain shape index – Leaf on canopy cover – Understory density – Vegetation classes
- 11. Source: Alltaxa Web Interface Environmental Variables Digital Elevation Model
- 12. Source: Alltaxa Web Interface Environmental Variables Solar input
- 13. Source: Alltaxa Web Interface Environmental Variables Slope in degrees
- 14. Source: Alltaxa Web Interface Environmental Variables Bedrock Geology
- 15. Source: Alltaxa Web Interface Environmental Variables Soil organic type
- 16. Source: Alltaxa Web Interface Environmental Variables Topographic convergence index
- 17. Source: Alltaxa Web Interface Environmental Variables Terrain shape index
- 18. Source: Alltaxa Web Interface Environmental Variables Vegetation class
- 19. Source: Alltaxa Web Interface Environmental Variables Understory density
- 20. Source: Alltaxa Web Interface Environmental Variables Leaf-on canopy cover
- 21. Source: Alltaxa Web Interface Number Crunching Contributions of environmental layers to model
- 22. Source: Alltaxa Web Interface Red Oak N. Red Oak (Quercus rubra), 5,606 specimens
- 23. Source: Alltaxa Web Interface White Oak White Oak (Quercus alba), 2,200 specimens
- 24. Source: Raw data, unpublished model output All Oaks (Quercus spp.) All oaks (12 species in ATBI database)
- 25. Applications
- 26. Source: Raw data, unpublished model output All Ground-nesting birds All ground-nesting birds
- 27. Applications
- 28. Source: Raw data, unpublished model output All wood warblers All wood warblers (Family Parulidae)
- 29. Source: Raw data, unpublished model output All Trees At-risk to Invasive Beetle All “preferred” host trees of Asian long-horned beetle
- 30. Current Holdings • Existing – 733 SDMs • 6 Salamanders • 62 Birds • 7 Diatoms • 2 Fishes • 167 Invertebrates • 4 Mammals • 484 Plants • 1 Slime Mold • Upcoming – 1,420 SDMs – 2 new environmental variables • Temperature • Soil pH – New taxa • Reptiles
- 31. 1024 Cores, can run the MaxEnt Java program (Titan cannot) Parallel Processing Nautilus: Single System Image Supercomputer
- 32. Next Steps • Workflow – More automation • Web services – Engage “Non- traditional” HPC users • Access – Advanced • Raw data output – Intermediate • Map interface • Synthesized data products – Casual • Exploratory use
- 33. Next Steps
- 34. Next Steps
- 35. Next Steps?
Editor's Notes
- 274,120 results
- What comes to mind when you think of Fraser fir? What’s your “mental model” of where it lives?
- 274,120 results
- 274,120 results
- 274,120 results
- That’s rad.
- Steep, vertical drops
- Bedrock geology
- soils
- Essentially, streams
- Effect of landforms on tree height
- Vegetation class.
- Where’s the rhododendron?
- Leaf on, leaf off.
- 88.8% contribution from the digital elevation model. Who’d have guessed?
- 2158 localities contributing to model.
- 941 localities contributing to model.
- “the oaks are one of the very important genera of trees in the park, susceptible to gypsy moth and more recently Sudden Oak death, should either invade our region” Keith Langdon, Park Biolgist, retired
- Sudden oak death. http://www.srs.fs.usda.gov/futures/reports/draft/images/Chapter%2016-5.gif; http://www.fs.fed.us/ne/morgantown/4557/gmoth/spread/nosts.jpg
- Red Oak
- Fire ants on a quail egg. Photo by Brad Dabbert,labelled CC-BYhttp://bugmugs.org/wordpress/wp-content/uploads/2010/05/quail4_dabbert.jpg, Wildfire in Smokies: Photo: Joe Strickland.
- “the Wood warblers are neo-tropical migrants who have undergone declines as a group, monitoring is underway internationally, but now we are starting to understand where they occur in GRSM” –Keith Langdon, NPS
- “Anoplophora is the Asian long-horned beetle, which has recently invaded North America, mostly in cities to our north, I used literature to assess the most preferred tree species of this voracious pest, and then overlaid them in the park. These areas would perhaps be the best place to monitor for their initial invasion in our area.” – Keith Langdon, Retired Park Biologist
- Data quality will continue to change.
- My other computer is a supercomputer. “Running MaxEnt for 500 species on a PC implementation of MaxEnt has been estimated to take about 90 hours (human or “wall-clock” time). Research reported in 2012 demonstrated the MaxEnt Java program can be deployed on a single-system-image supercomputer to decrease processing time for MaxEnt runs. Parallel processing translated to 25 minutes of “wall-clock time” on the supercomputer to make the runs.”