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
  • Geo albertaupload

    1. 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. 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. 3. Little Smoky Region
    4. 4. Like Much of Alberta Memestate Flickr
    5. 5. 1998
    6. 6. 2001
    7. 7. 2004
    8. 8. 2007
    9. 9. 2011
    10. 10. 1998
    11. 11. ALSO HOME TO
    12. 12. Stingp flickr The Situation PapaMarina Flickr
    13. 13. LegalResponsibilitySpecies at Risk ActSteps Must be Taken to Recoverthe Species
    14. 14. Past Present Future The Future State of the Landscape UNKNOWN
    15. 15. UNKNOWNSpatial Distribution and Energy HOW AND WHY CARIBOU SELECT AND USE WINTER Bruce McKay Flickr HABITAT
    16. 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. 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. 18. What Will The Little SmokyLook like in 10 Years?
    19. 19. CELLULAR AUTOMATA WELLSA method to simulate future patterns based on past patterns
    20. 20. Space is Divided Into Regular Arrangement of CellsCell States Neighbourhood Transition Rule
    21. 21. Space is Divided Into Regular Arrangement of Cells NeighbourhoodCell States Transition Rule
    22. 22. Space is Divided Into Regular Arrangement of Cells NeighbourhoodCell States Transition Rule TI M E +1
    23. 23. 1998
    24. 24. 1998
    25. 25. 2001
    26. 26. 2004
    27. 27. 2007
    28. 28. 2011
    29. 29. DrivingFactors
    30. 30. [ DISTANCE TO INFRASTRUCTURE ]
    31. 31. 1998
    32. 32. 2001
    33. 33. 2004
    34. 34. 2007
    35. 35. 2011
    36. 36. [ DISTANCE TO WELL ]
    37. 37. 1998
    38. 38. 2001
    39. 39. 2004
    40. 40. 2007
    41. 41. 2011
    42. 42. Establish TransitionRules From HistoricalDevelopment Patterns
    43. 43. All Driving Factors All Time Steps
    44. 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. 45. All Driving Factors All Time Steps
    46. 46. SIMULATE AND CALIBRATE
    47. 47. SIMULATE REALISTIC SCENARIOS
    48. 48. What Will The Little SmokyLook like in 10 Years?
    49. 49. Was The Relationship Captured No One Knows The FuturePast Does Not Predict FutureLIMITATIONS
    50. 50. KNOWNS Spatial Distribution and Energy Provide Future InsightFuture Bruce McKay FlickrThe Future The Relationship ofState of the the Caribou withLandscape Winter Habitat
    51. 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. 52. 1. AGENTEntity InteractsWithEnvironment BASEDand Tries ToAchieve a Goal MODEL2.Respond ToSensory Input
    53. 53. UNKNOWNSSpatial Distribution and Energy HOW AND WHY CARIBOU SELECT AND USE WINTER Bruce McKay Flickr HABITAT
    54. 54. KNOWLEDGE Troy Thomson Flickr
    55. 55. Foraging Potential LandscapeInternal EnergyTravel CostsPredation RiskSENSE Troy Thompson Flickr
    56. 56. SIMULATE Acquire Energy: Maintenance Conserve Energy: Reproduction GOAL Minimize Risk and Disturbance
    57. 57. SIMULATE
    58. 58. OUTPUTSpatial LocationEnergy GPS Troy Thomson FlickrBIOLOGY
    59. 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. 60. KNOWNS Spatial Distribution and Energy Provide Future InsightFuture Bruce McKay FlickrThe Future The Relationship ofState of the the Caribou withLandscape Winter Habitat
    61. 61. STRATEGIC INSIGHT2004
    62. 62. STRATEGIC INSIGHT2020
    63. 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. 64. Acknowledgements
    65. 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. 66. SCENARIOSAmountLocationConstrain

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