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Geo albertaupload
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Geo albertaupload

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  • Daily Energetic Requirements Pregnant caribouEnergy Required for A Successful CalvingForaging Theory Predation sensitive foraging tradeoffs how hungry vs risk willing to tolerate
  • sensoryForaging potential of the LandscapeAssess elevation Travel costInternal energy levelsPredation Potential of the LandscapeLandcover type, open, industrial features
  • Each time step is 30 min; simulation is run for 180 days (winter period)Agent represents pregnant female Output: energy gain/loss per time step, agent activities per time step, spatial coordinates of agents at 4hr-intervals.
  • Each time step is 30 min; simulation is run for 180 days (winter period)Agent represents pregnant female Output: energy gain/loss per time step, agent activities per time step, spatial coordinates of agents at 4hr-intervals.
  • Locationlandcover typeseasonal behavioral patternsex activity reduced in late seasonie energetically stressed use easier terrain
  • Occupy smaller extent and use more energy to live their
  • Transcript

    • 1. Geospatial Intelligence to Guide Wildlife Management¹Department of Geomatics Engineering, U of C D. Birkigt¹, C. Semeniuk¹, M. Musiani²,²Faculty of Environmental Design, U of C G. McDermid³, M. Hebblewhite4, S. Grindal5,³Department of Geography, U of C4College of Forestry and Conservation, U of Montana, D. Marceau*¹5Environmental Stewardship, ConcocoPhillips Canada,*Project Leader
    • 2. The Path I. Overview I. Industrial Development II. Woodland Caribou III. Issue II. Realistic Future Scenario Landuse I. Cellular Automata III. Representing the Woodland Caribou I. Agent Based Modeling IV.Integrating Land and Animal I. Strategic Insight V. Where to Start Modified from wburris Flickr
    • 3. Little Smoky Region
    • 4. Like Much of Alberta Memestate Flickr
    • 5. 1998
    • 6. 2001
    • 7. 2004
    • 8. 2007
    • 9. 2011
    • 10. 1998
    • 11. ALSO HOME TO
    • 12. Stingp flickr The Situation PapaMarina Flickr
    • 13. LegalResponsibilitySpecies at Risk ActSteps Must be Taken to Recoverthe Species
    • 14. Past Present Future The Future State of the Landscape UNKNOWN
    • 15. UNKNOWNSpatial Distribution and Energy HOW AND WHY CARIBOU SELECT AND USE WINTER Bruce McKay Flickr HABITAT
    • 16. BECOME KNOWNS Spatial Distribution and Energy Provide Future Insight Future Bruce McKay FlickrThe Future The Relationship ofState of the the Caribou withLandscape Winter Habitat
    • 17. The Path I. Overview I. Industrial Development II. Woodland Caribou III. Issue II. Future Scenario Landuse Planning I. Cellular Automata III. Representing the Woodland Caribou I. Agent Based Modeling IV. Integrating Land and Animal I. Strategic Insight V. Where to Start
    • 18. What Will The Little SmokyLook like in 10 Years?
    • 19. CELLULAR AUTOMATA WELLSA method to simulate future patterns based on past patterns
    • 20. Space is Divided Into Regular Arrangement of CellsCell States Neighbourhood Transition Rule
    • 21. Space is Divided Into Regular Arrangement of Cells NeighbourhoodCell States Transition Rule
    • 22. Space is Divided Into Regular Arrangement of Cells NeighbourhoodCell States Transition Rule TI M E +1
    • 23. 1998
    • 24. 1998
    • 25. 2001
    • 26. 2004
    • 27. 2007
    • 28. 2011
    • 29. DrivingFactors
    • 30. [ DISTANCE TO INFRASTRUCTURE ]
    • 31. 1998
    • 32. 2001
    • 33. 2004
    • 34. 2007
    • 35. 2011
    • 36. [ DISTANCE TO WELL ]
    • 37. 1998
    • 38. 2001
    • 39. 2004
    • 40. 2007
    • 41. 2011
    • 42. Establish TransitionRules From HistoricalDevelopment Patterns
    • 43. All Driving Factors All Time Steps
    • 44. CAPTURE THERELATIONSHIP 120 1 100 Cumulative Proportion 0.75Number of Wells 80 60 0.5 40 0.25 20 0 0 0 1000 2000 3000 4000 5000 Distance Meters
    • 45. All Driving Factors All Time Steps
    • 46. SIMULATE AND CALIBRATE
    • 47. SIMULATE REALISTIC SCENARIOS
    • 48. What Will The Little SmokyLook like in 10 Years?
    • 49. Was The Relationship Captured No One Knows The FuturePast Does Not Predict FutureLIMITATIONS
    • 50. KNOWNS Spatial Distribution and Energy Provide Future InsightFuture Bruce McKay FlickrThe Future The Relationship ofState of the the Caribou withLandscape Winter Habitat
    • 51. The Path I. Overview I. Industrial Development II. Woodland Caribou III. Issue II. Future Scenario Landuse Planning I. Cellular Automata III. Representing the Woodland Caribou I. Agent Based Modeling IV. Integrating Land and Animal I. Strategic Insight V. Where to Start
    • 52. 1. AGENTEntity InteractsWithEnvironment BASEDand Tries ToAchieve a Goal MODEL2.Respond ToSensory Input
    • 53. UNKNOWNSSpatial Distribution and Energy HOW AND WHY CARIBOU SELECT AND USE WINTER Bruce McKay Flickr HABITAT
    • 54. KNOWLEDGE Troy Thomson Flickr
    • 55. Foraging Potential LandscapeInternal EnergyTravel CostsPredation RiskSENSE Troy Thompson Flickr
    • 56. SIMULATE Acquire Energy: Maintenance Conserve Energy: Reproduction GOAL Minimize Risk and Disturbance
    • 57. SIMULATE
    • 58. OUTPUTSpatial LocationEnergy GPS Troy Thomson FlickrBIOLOGY
    • 59. The Path I. Overview I. Industrial Development II. Woodland Caribou III. Issue II. Future Scenario Landuse Planning I. Cellular Automata III. Representing the Woodland Caribou I. Agent Based Modeling IV. Integrating Land and Animal I. Strategic Insight V. Where to Start
    • 60. KNOWNS Spatial Distribution and Energy Provide Future InsightFuture Bruce McKay FlickrThe Future The Relationship ofState of the the Caribou withLandscape Winter Habitat
    • 61. STRATEGIC INSIGHT2004
    • 62. STRATEGIC INSIGHT2020
    • 63. WHERE TOSTART?Project GigalopolisisSLEUTH netlogo www.ncgia.ucsb.edu/projects/gig/index.html ccl.northwestern.edu/netlogo/DINAMICA project Repastwww.csr.ufmg.br/dinamica/ repast.sourceforge.net/
    • 64. Acknowledgements
    • 65. WHERE TOSTART?Project GigalopolisisSLEUTH netlogo www.ncgia.ucsb.edu/projects/gig/index.html ccl.northwestern.edu/netlogo/DINAMICA project Repastwww.csr.ufmg.br/dinamica/ repast.sourceforge.net/ dabirkig@ucalgary.ca
    • 66. SCENARIOSAmountLocationConstrain

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