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Table 2 Summary of resting state assignment using a two-state hidden Markov model fit to activity and apparent step-length data for 21 GPS collar deployments on 9 individual fishers. Percent of time resting is the percentage of time series for which P(st = 1) > 0.95. Percent uncertain is the percentage of time series for which P(st = 1) < 0.95 and P(st = 2) < 0.95. The number of rest events is the number of segments of the time series with sequential resting state assignments. The average duration (and standard deviation) of these rest events is indicated

From: Identifying resting locations of a small elusive forest carnivore using a two-stage model accounting for GPS measurement error and hidden behavioral states

Fisher ID

Deployment

Percent of time resting

Percent uncertain

Number of rest events

Average duration (SD) in hours

F01T

Fall 15

0.69

0.04

179

3.9 (3.0)

F01T

Summer 16a

0.44

0.03

145

2.9 (2.5)

F01T

Summer 16b

0.55

0.04

117

3.6 (3.1)

F01T

Winter 17

0.59

0.04

150

2.6 (2.1)

F02T

Fall 15

0.65

0.04

131

4.6 (3.9)

F02T

Summer 16b

0.72

0.02

132

5.2 (3.8)

F03T

Fall 15

0.72

0.07

228

2.7 (2.2)

F03T

Summer 16a

0.42

0.04

132

3.2 (3.0)

F03T

Summer 16b

0.49

0.02

78

3.4 (3.1)

F03T

Winter 17

0.72

0.05

144

3.0 (2.7)

F07T

Fall 16

0.59

0.04

165

2.2 (1.7)

F07T

Fall 17

0.57

0.02

119

4.0 (3.3)

M03T

Fall 16

0.62

0.02

286

4.3 (3.9)

M03T

Winter 17

0.67

0.02

295

5.6 (3.9)

M05T

Fall 16

0.56

0.02

95

3.5 (2.6)

M07T

Fall 16

0.58

0.01

134

3.6 (3.3)

M08T

Fall 16

0.67

0.03

127

4.4 (4.6)

M08T

Spring 18

0.73

0.04

533

5.5 (4.4)

M08T

Winter 17

0.73

0.03

442

5.5 (5.0)

M09T

Spring 18

0.68

0.03

335

5.7 (4.5)

M09T

Winter 17

0.65

0.03

101

4.9 (3.3)