URSAMAPPER

Methods

Data

Data used include shapefiles pertaining to the Yukon border, major watercourses, boundaries for Ivvavik National park (INP) and the Inuvialuit Settlement Region (ISR), a digital elevation model (DEM), and a land cover classification. GPS tracking data for 30 bears was collected using Telonics Gen 3 collars between 2004 and 2010 by Environment Yukon, and accounts for the movement of bears between April and November. All analysis was carried out using ArcMap 10.3 and Microsoft Excel.

Data layer Type Description
Yukon border Shapefile Outlines the Yukon border
Major watercourses Shapefile Shows where major watercourses are present through much of the study region
Water bodies Shapefile Shows where major water bodies are present through much of the study region
Ivvavik National Park boundary Shapefile Shows the boundary of Ivvavik National Park, which was developed to protect caribou calving grounds
Inuvialuit Settlement Region boundary Shapefile Shows the boundary of the Inuvialuit Settlement REgion, designated for the Inuvialuit people
Digital Elevation Model Raster 3D representation of terrain surface for the region
Land cover (NFIS, 2013) Raster Shows land cover classes, primarily in terms of vegetation, for the region
GPS collar tracking data Point Tracking data showing the location of grizzly bears for the duration of the study period

Pre-Processing

To standardize for time, GPS data was divided into three seasons: shoulder (April-May), foraging (June-April), and pre-denning (September-November). This data was further processed by standardizing the recording interval from 1.3 - 4 hours to approximately 4 hours. Males and females were separated due to behavioural differences in movement. 

Determining Bear Activity and Migration Corridors

In order to delineate corridors of grizzly bear movement through the landscape, it was first necessary to determine which areas were most frequented by all bears. This was done using the Kernel Density tool in ArcMap. To reduce error, only standardized data with a successful fix rate greater than or equal to 80% were used in steps of the analysis,. As a result, only the foraging season data was used. However, all points of all bears were used to create any observed corridors that linked these areas of high bear activity. Only paths linking two high activity areas were considered to be corridors.


Habitat Suitability

A Multiple Criteria Evaluation was used to predict areas of suitable habitat that should be protected from development. Slope, elevation and land cover were used as part of this analysis, with the suitability of different ranges of each being determinued from the following:


1. Histogram showing how percentage of total fixes decreased with increasing slope gradient using ten equal intervals of slope gradient from 0 to 100 %. The interval at which the highest percentage of total fixes were collected, from 0 – 10 %, was given the highest suitability ranking, while intervals where no fixes occurred were given the lowest suitability ranking.



2. Histogram showing how the percentage of total fixes related to different levels of elevation. The interval at which the highest percentage of total fixes were collected for females and males, respectively, were given the highest suitability ranking, while elevations with a relatively low percentage of total fixes were given the lowest suitability ranking.


Land cover class Percent of total fixes Suitability Ranking
Wetland 63 5
Shrubland 20 4
Exposed land 17 3
Coniferous 1 2
Mixedwood 0.02 1
3. The reclassification of land cover class according to suitability ranking as determined using the COUNTIF function in Excel.