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1. Predictive Modeling of Northern Spotted Owl Home Ranges
2. Presentation Overview Northern Spotted Owl (NSO)
Models
Study Area
Data
Methods and Analysis
Research Relevance
Potential Challenges
3. Northern Spotted Owl Listed as Threatened in 1990
Habitat
Surveys
Conservation
4. Current Method to Assess Effects of Human Activities to NSO NSO territories are centered on an ‘activity center’
0.5-mile core area
1.3-mile radius home range
Radio telemetry studies
5. Research Question: Is there a way to describe home ranges for Northern Spotted Owls that does not use circles?
6. Project Objectives Refine the current circle-based analysis method
Telemetry data
Abiotic attributes:
7. Models
8. Study Areas
9. Topography and Telemetry Points:Hilt and Goosenest Study Areas
10. Data Vector Data
Telemetry points
Activity center points
Streams
Vegetation/Habitat Raster Data
10-meter Digital Elevation Models (DEMs)
11. Data Pre-processing
12. Maxent Modeling: Abiotic-only Input occurrence data
Telemetry points
Input abiotic variables
Aspect
Curvature
Distance to stream
Elevation
Slope percent
Slope position
Solar radiation
13. Maxent Modeling: Habitat-only Input occurrence data
Telemetry points
Input habitat variables
Habitat
14. Maxent Modeling: Abiotic + Habitat Input occurrence data
Telemetry points
Input abiotic variables
Aspect
Curvature
Distance to stream
Elevation
Slope percent
Slope position
Solar radiation
Input habitat variables
Habitat
15. Maxent Model Outputs
16. HexSim Model Input data
Nest points
HexMap of spatial data from Maxent
17. HexSim Model: Range Parameters Maximum search radius
Maximum area searched
18. HexSim Model: Search Parameters Uniform
19. HexSim Model Outputs Maps
Spatial data
Simulation data
20. Analysis Evaluate Maxent probability distributions
Testing with reserved telemetry data
Compare HexSim home ranges to circles
Assess research question
21. Research Relevance Refine current circle-based analysis method
Likelihood of use
Extent of use
Degree of effects
Repeatable methods
Future applications
Landscape level assessments of potential for NSO occupancy
Habitat restoration activities
Prescribed fire and fuels management
22. Potential Challenges Maxent and HexSim models
Permission for some data can be revoked
Too much data
Addition of abiotic variables
Abiotic variables may not be important to NSO
Time!!
23. Acknowledgements
Brian Woodbridge, U.S. Fish and Wildlife Service
Jeff Dunk, Humboldt State University
Nathan Schumaker, U.S. Environmental Protection Agency
Dave LaPlante, Natural Resource Geospatial
National Council for Air and Stream Improvement
Fruit Growers Supply Company
Timber Products Company
Klamath National Forest
24. Questions?