Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

You are viewing the site in preview mode

Skip to main content

Table 2 Properties of Alpine ibex spatial networks in the Belledonne massif (French Alps) in June 2017

From: Combined effects of landscape fragmentation and sampling frequency of movement data on the assessment of landscape connectivity

Sampling frequency

Num. of locations

Num. of visited patches

Num. of links

\(\widehat{\alpha }\)[R2]

Scale-free

C

L

Small-world

Every 1 s

18 070 914

83

170

1.03 [0.60]

Yes

0.42

4.84

Yes

Every 30 s

604 720

80

166

0.94 [0.49]

No

0.44

4.84

Yes

Every 1 min

302 380

80

167

0.93 [0.47]

No

0.44

4.86

Yes

Every 5 min

60 480

76

154

1.03 [0.65]

Yes

0.39

4.75

Yes

Every 10 min

30 240

73

142

1.15 [0.75]

Yes

0.46

4.79

Yes

Every 20 min

15 120

67

133

1.15 [0.71]

Yes

0.42

4.79

Yes

Every 30 min

10 080

63

119

1.10 [0.68]

Yes

0.43

4.54

Yes

Every 1 h

5 040

55

100

1.10 [0.74]

Yes

0.49

3.75

Yes

Every 2 h

2 619

42

59

1.22 [0.75]

Yes

0.22

3.22

Yes

Every 6 h

1 005

28

28

1.30 [0.47]

Yes

0.11

3.71

No

  1. Sampling frequency indicates the frequency at which we resampled the full individual trajectories (i.e., every 1s) to further build ibex spatial network. \(\hat{\alpha }\) [R2]: scale parameter estimate of network degree distribution and its associated model’s R-squared, C: network clustering coefficient, L: network characteristic path length