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NR505 GIS Applications in Wildlife Sciences
Mondays and Wednesdays 9:30 – 11:20 CNR GIS lab Room 26 Home Range Resource Selection Wildlife Habitat Models + Accuracy Assessment Fragmentation Analysis in Fragstats Distance Measurements and Least Cost Path Analysis Functional Connectivity Introductory Remote Sensing + separability testing Grading: Attendance & Participation % Final Project Presentation %
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CNR Remote Sensing and GIS Lab
Home Range and GIS Eva Strand CNR Remote Sensing and GIS Lab
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Wildlife Techniques Manual
What is Home Range? The description of an animals space use The home range is believed to contain the essential requirements such as food, water and cover Wildlife Techniques Manual
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Home range characteristics
Home ranges often overlap (as opposed to territories) Home range size has been correlated to body size Can help explain an animals biological patterns Can help improve understanding of ecological relationships
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Telemetry data or GPS collar
Tabular data in Excel (2003) .dbf or .txt format can be directly imported to ArcGIS or ArcView
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Telemetry data or GPS collar
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Minimum Convex Polygon
Home Range Methods Minimum Convex Polygon Harmonic Mean Kernal Jennrich-Turner
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Minimum Convex Polygon
Minimum Convex Polygon (MCP) is defined as the polygon drawn around the outermost points
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Fixed kernel home range is currently recommended
Contours The size of the kernel home range is sensitive to the bandwidth value (h) used!
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Kernel Density Functions
n – number of locations h – smoothing parameter d – distance from the location x, y
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….a few assumptions Locations are independent Large enough sample size
Smoothing parameter (kernel estimators)
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Bandwidth, h-factor, smoothing parameter
Least Squares Cross Validation (LSCV) Currently recommended Tendency to undersmooth, creates multiple local minima High variability Likelihood Cross Validation (CV) Novel method (Horne and Garton 2006) Performs better for smaller sample sizes (< 50) Better fit and less variability Normal or Reference method (href) Scaled-REF (href is multiplied by a fixed proportion) Gitzen et al. 2006 Horne and Garton 2006
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Effect of the smoothing parameter
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Home Range Spatial Tools
Hawth’s Tools Home Range Tool Animal Movement Likelihood Cross Validation Tool (Jon Horne)
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Hawth’s Tools ArcGIS extension
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Home Range Tool Free download http://blue.lakeheadu.ca/hre/
Developed by Art Rodgers, Ontario Extension to ArcGIS 9 Kernel Tool MCP Tool Display Travel Calculate travel times Great User’s Manual and Tutorial Guide!!
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Animal Movement Extension
Will utilize any type of point data that can be brought into ArcView Works in any projection* Works on any selected subset of data* Produces Coverages, Grids, or Tables i.e. all output is compatible with ArcView *Except Gin= Gout G = Garbage U.S. Department of Interior U.S. Geological Survey Alaska Biological Science Center Glacier Bay Field Station
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Changes to ArcView Buttons Tools Menus
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Readings – home range Bookhout TA (editor) Research and Mangement Techniques for Wildlife and Habitats pp , The Wildlife Society, Bethesda , Maryland . Horne JS and EO Garton Likelihood cross-validation versus least squares cross-validation for choosing the smoothing parameter in kernel home-range analysis, Journal of Wildlife Management 70(3): Gitzen RA, JJ Millspaugh, and BJ Kernohan, Bandwidth selection for fixed-kernel analysis of animal utilization distributions, Journal of Wildlife Management 70(5): Home Range Tool User’s Manual
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