2018
DOI: 10.1111/jbi.13240
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Modelling broad‐scale wolverine occupancy in a remote boreal region using multi‐year aerial survey data

Abstract: Aim:We used data from aerial surveys of wolverine tracks collected in seven winters over a 10-year period (2003-2012) within a 574,287 km 2 study area to evaluate the broad-scale pattern of wolverine occurrence across a remote northern boreal forest region, identifying areas of high and low occupancy.Location: Northern Ontario, Canada.Taxon: Wolverine (Gulo gulo Linnaeus, 1758). Methods:We collected wolverine tracks and observations in 100-km 2 hexagonal survey units, making a total of 6,664 visits to 3,039 u… Show more

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Cited by 6 publications
(5 citation statements)
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References 34 publications
(61 reference statements)
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“…For example, snow had a strong positive effect on lynx and marten occupancy along their warm limits. These results are consistent with other studies (Hostetter et al, 2020; Hoving et al, 2005; Jensen & Humphries, 2019; Ray et al, 2018). However, there was also evidence of an indirect effect for lynx; snow depth‐mediated occupancy of coyotes and bobcats, its primary competitors that had a negative effect on lynx occupancy.…”
Section: Discussionsupporting
confidence: 93%
“…For example, snow had a strong positive effect on lynx and marten occupancy along their warm limits. These results are consistent with other studies (Hostetter et al, 2020; Hoving et al, 2005; Jensen & Humphries, 2019; Ray et al, 2018). However, there was also evidence of an indirect effect for lynx; snow depth‐mediated occupancy of coyotes and bobcats, its primary competitors that had a negative effect on lynx occupancy.…”
Section: Discussionsupporting
confidence: 93%
“…Moreover, occupancy models fit in a Bayesian framework provide a straightforward approach to estimating the probability of occurrence of a species within subsets of the entire study area. Occupancy modeling has been applied to wolverine populations in Canada and Alaska (Magoun et al 2007, Gardner et al 2010, Whittington et al 2015, Ray et al 2018).…”
mentioning
confidence: 99%
“…We would likely find evidence for heterogeneous wolverine density if we enlarged our study area and incorporated more variable habitat quality. For example, wolverine occupancy in Ontario decreases from northern to southern latitudes potentially because of a poorer climate and increased human development in the south (Bowman et al 2010, Ray et al 2018. Understanding variation in wolverine density over a larger space would further assist with population status assessments; however, it is unlikely that in most regions there will be surveys across a large enough space and at reasonable temporal intervals to provide reliable population numbers at the F I G U R E 4 Survivorship curves for population projections (2023−2042) in Red Lake, Ontario, Canada and Rainbow Lake, Alberta, Canada.…”
Section: Secr Modelingmentioning
confidence: 99%
“…The species occurred throughout most of Ontario prior to the twentieth century but receded to the northwest portion of the province by the mid‐twentieth century (Petersen 1997, Dawson 2000). Wolverines have since expanded into much of northern Ontario (above 51° N latitude) although their stronghold appears to be the northcentral and northwestern portions of the province (Ray et al 2018). Licensed fur trapping is prohibited for those without treaty rights, but an unknown number of wolverines are incidentally harvested each year (Dawson et al 2010, Ray et al 2018).…”
Section: Study Areamentioning
confidence: 99%
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