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RFMA 2422


Trapline-specific descriptive results.

Featured Images

Context

Destiny Golosky is the trapper on Trapline 2422. Her father Richard Golosky previously held the line and Destiny was the junior. Destiny’s trapline was burned significantly during the 2016 wildlife. Forestry activity to salvage trees in the years following the wildfire created more disturbance on the trapline. Proposed in situ oil sands projects are also located within and adjacent to the trapline.

Human Footprint in 2018

Trapline 2422 had a moderate amount of human footprint relative to the three traplines in the study. Of the 5.5% human footprint covering the area of this trapline, forestry features made up the majority of the footprint cover.

Legend
Human footprint in 2018 in RFMA 2422.

Landcover Map

Trapline 2422 is mainly made up of forested land cover, primarily:

  • Black Spruce (28.5% of the area)

  • Treed Fen (26.4%),

  • Deciduous Forest (17.6%), and

  • Pine Forest (5.5%). 

 

Swamp features also make up a significant portion of the area (5.1%).

Landcover map (including overall human footprint) in RFMA 2422.

Landcover Descriptions

This table shows the habitats that cameras were placed in on Trapline 2422. There is considerable variation, which likely allowed a wide variety of animals to be captured. For example, Camera 2 was placed in 100% Treed Fen, whereas Camera 20 was placed in 100% forestry footprint.

Camera Cover (Landcover/Human Footprint) Area (%)
1 Black Spruce 5.7
  Deciduous 94.1
  Energy Footprint 0.2
2 Treed Fen 100.0
3 Deciduous 99.9
  White Spruce 0.1
4 Black Spruce 100.0
5 Deciduous 96.3
  Open Wetland 3.7
6 Deciduous 71.0
  Urban, Rural & Industrial Footprint 29.0
7 Deciduous 96.7
  Transportation Footprint 3.3
8 Deciduous 42.8
  Mixedwood 16.8
  Pine 33.4
  Swamp 7.0
10 Deciduous 48.3
  Mixedwood 48.8
  Transportation Footprint 2.9
11 Black Spruce 0.7
  Pine 46.9
  Treed Fen 52.3
  Water 0.1
12 Deciduous 34.8
  White Spruce 65.2
13 Deciduous 24.5
  White Spruce 73.8
  Transportation Footprint 1.6
14 Deciduous 100.0
15 Treed Fen 74.4
  Energy Footprint 25.6
16 Treed Fen 94.9
  Transportation Footprint 5.1
17 Pine 79.4
  Transportation Footprint 20.6
18 Pine 5.3
  Treed Fen 94.7
19 Black Spruce 3.1
  Deciduous 90.9
  Energy Footprint 4.9
  Forestry Footprint 1.1
20 Forestry Footprint 100.0
21 Black Spruce 17.4
  Deciduous 20.7
  Pine 61.6
  Transportation Footprint 0.3
22 Forestry Footprint 100.0
23 Black Spruce 2.1
  Deciduous 89.5
  Energy Footprint 8.4
24 Black Spruce 58.7
  Transportation Footprint 41.3
25 Black Spruce 81.0
  Deciduous  10.2
  Treed Fen 1.6
  Energy Footprint 7.3
26 Black Spruce 80.1
  Deciduous 12.4
  Treed Fen 0.4
  Energy Footprint 7.2
27 Deciduous 92.4
  Energy Footprint 7.6
28 Black Spruce 56.7
  Deciduous 38.3
  Transportation Footprint 5.0
29 Black Spruce 78.8
  White Spruce 13.0
  Energy Footprint 7.6
  Transportation Footprint 0.6
Landcover descriptions (vegetation, human footprint) by camera in RFMA 2422 .

Number of Images

Trapline 2422 captured 9,581 images from 25 cameras, and these images were made up of 11 species.

  • White-tailed deer were the most common species captured on this trapline, with 7,125 images, the most of the three traplines by a large margin; the next most deer-heavy trapline had 3,933 images, while the third had only 22.
  • Moose and Black Bears were the next most numerous animals tagged in this trapline.
Number of images for most common species in RFMA 2422.
Species Number of Images
Black Bear 1005
Canada Lynx 36
Coyote 7
Fisher 1
Gray Wolf 95
Marten 7
Moose 1173
Red Fox 46
Snowshoe Hare 80
Weasels and Ermine 6
White-tailed Deer 7125
Landcover descriptions (vegetation, human footprint) by camera in RFMA 2422.

Estimated Density

We can use the camera images to estimate the abundance of animals in a trapline, referred to as density. This is done by using the length of time the camera is in the field, the total time over which each species is present in the camera field of view, and the size of area that each camera is capturing. More details about estimated density of each species over the whole project and by trapline can be found in Section 3.1.

The density estimates on this trapline have relatively tight error bars, allowing us to make some inferences. For example, we can see that White-tailed Deer were more abundant than any other species, at about 2 individuals per km2, with Moose and Black Bears being the next most abundant at about 0.5 individuals per km2.

The spatial analysis results in this project showed us that White-tailed Deer were more common in disturbed areas, so the 5.5% human footprint and 43.6% percent burned areas in this trapline may have contributed to the larger number of deer.

Estimated density in RFMA 2422

Human Activity

Images with both “Human” and “Vehicle” tags were added to show human activity in this trapline. This trapline had the lowest captured human activity throughout this project of the three traplines used, with 7 images of humans or vehicles in spring 2019.

Human activity in RFMA 2422.