Movement parameters of ungulates and scale‐specific responses to the environment
By Chris J. Johnson, K. Parker, D. Heard, M. Gillingham. 2002
303 citations recorded by the source corpus.
Subfields: Ecology, Small Animals
View Paper: https://www.semanticscholar.org/paper/0fa5044c212bd8fbe0a0c17320ae6bafff538631
How researchers see this paper
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In Ecology
- M. Boyce
- Jason Matthiopoulos
- R. Phillips
- Ewan D. Wakefield
- Evelyn H. Merrill
- Daniel T. Haydon
- Scott E. Nielsen
- Gordon B. Stenhouse
In Small Animals
- M. Boyce
- A. Vanak
- Jason Matthiopoulos
- D. Fortin
- Scott E. Nielsen
- O. Berger‐Tal
- J. Ouellet
- C. Chetkiewicz
Citations in the corpus
- Quantifying habitat use and preferences of pelagic seabirds using individual movement data: a review (2009, background): “For example, much effort has gone into modeling the spatial usage of endangered ungulates (Mladenoff et al. 1999, Johnson et al. 2002, Morales et al. 2005).”
- Adaptive models for large herbivore movements in heterogeneous landscapes (2005, background): “Movement paths of large herbivores are usually characterized by an alternation between relatively small movements and larger scale excursions (Bailey et al. 1996; Pastor et al. 1997; Johnson et al. 2002; Frair et al. 2004; Morales et al. 2004).”
- Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal (2007, unknown): “…explorative-type of movements within habitats differ from movements observed in the matrix, between suitable resource or habitat patches (e.g., Baars 1979; Schultz 1998; Doncaster et al. 2001; Goodwin and Fahrig 2002; Johnson et al. 2002; Baguette 2003; Hein et al. 2005; Schtickzelle et al. 2007).”
- Using the movement patterns of reintroduced animals to improve reintroduction success (2014, background): “The rapid development of movement recording technologies, which enables managers to collect movement data on various spatial and temporal scales with increasing ease (Johnson et al., 2002; Cagnacci et al., 2010), has made the employment of tracking devices on released individuals a common practice (”
- Space use of moose in relation to food availability (2005, background): “Movement rate of moose was assessed as the Euclidean distance between successive locations of an individual divided by the time elapsed between those two locations (Courtois and Crête 1988; Johnson et al. 2002).”
- EXTRACTING MORE OUT OF RELOCATION DATA: BUILDING MOVEMENT MODELS AS MIXTURES OF RANDOM WALKS (2004, background): “This is in contrast to the case of multiple 3 exponential distributions used by Johnson et al. (2002) in which the mode of the step 4 length distribution for both small and large-scale movements is the same and very small.”
- Removing GPS collar bias in habitat selection studies (2004, background): “large-scale movements (Johnson et al. 2002), or for certain time periods, e.”
- Inference of Animal Activity From GPS Collar Data on Free-Ranging Cattle (2005, background): “…are moose (Rodgers and Anson 1994; Rempel et al. 1995; Moen et al. 1996a, 1996b; Dussault et al. 1999; Girard et al. 2002), deer (Blanc and Brelurut 1997; Merrill et al. 1998; Bowman et al. 2000), elk (Biggs et al. 2001), caribou (Johnson et al. 2002a, 2002b), and elephant (Blake et al. 2001).”
- Scale‐dependent habitat use in a long‐ranging central place predator (2005, background): “…environment and foraging decisions are thus scale-dependent, and could lead to difference in individuals (Rettie & Messier 862 D. Pinaud & H. Weimerskirch © 2005 British Ecological Society, Journal of Animal Ecology, 74, 852–863 2000; Johnson et al. 2002), with a repercussion on individual fitness.”
- Do fences create an edge-effect on the movement patterns of a highly mobile mega-herbivore? (2010, background): “Clair, 2004), foraging routes (Crist et al., 1992; Johnson et al., 2002), and home range use (Bailey et al.”