2020
DOI: 10.1111/1365-2664.13609
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Deer density drives habitat use of establishing wolves in the Western European Alps

Abstract: 1. The return of top carnivores to their historical range triggers conflicts with the interests of different stakeholder groups. Anticipating such conflicts is key to appropriate conservation management, which calls for reliable spatial predictions of future carnivore occurrence. Previous models have assessed general habitat suitability for wolves, but the factors driving the settlement of dispersing individuals remain ill-understood. In particular, little attention has been paid to the role of prey availabili… Show more

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Cited by 15 publications
(10 citation statements)
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“…Based on imprint size and track configuration, we estimated the minimum number of individuals present during each visit. Multiple individuals were counted if tracks of different sizes (i.e., from different sexes or age classes) or individuals traveling together in a group could be distinguished, using a conservative approach: when in doubt, we always recorded the lower number of individuals (for details see Roder et al, 2020).…”
Section: Ungulate Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Based on imprint size and track configuration, we estimated the minimum number of individuals present during each visit. Multiple individuals were counted if tracks of different sizes (i.e., from different sexes or age classes) or individuals traveling together in a group could be distinguished, using a conservative approach: when in doubt, we always recorded the lower number of individuals (for details see Roder et al, 2020).…”
Section: Ungulate Datamentioning
confidence: 99%
“…To obtain detection-corrected relative abundance (hereafter called "abundance") estimates of roe deer and chamois along the transects, N-mixture models were fitted with the R package unmarked (Fiske et al, 2017), taking into account the sampling occasion (i.e., first or second survey as described in Roder et al, 2020), with snow predictors as detection variables (Table 3) and environmental predictors (Table 2) as habitat variables (Roder et al, 2020; Supplementary Data Sheet 3). We used Poisson models for roe deer abundance and zero-inflated Poisson models for chamois abundance.…”
Section: Hypothesis 3: Differences In Major Ungulate Prey Densitiesmentioning
confidence: 99%
“…To obtain detection-corrected abundance estimates of roe deer and chamois along the transects, N-mixture models were fit with R package unmarked 39 , taking into account the sampling occasion (i.e. first or second survey as described in 40 ) and the snow condition variables as detection variables (Table 3) and the environmental predictors (Table 2) To compare prey densities between the two study areas, a regular grid of 1-km side length, based on the Swiss grid coordinate system, was applied to the whole study area.…”
Section: Hypothesis 3: Differences In Major Ungulate Prey Densitiesmentioning
confidence: 99%
“…Based on imprint size and track configuration, we estimated the minimum number of individuals present at each visit.Multiple individuals were counted if tracks of different sizes (i.e. from different sexes or age classes) or individuals travelling together in a group could be distinguished, using a conservative approach: when in doubt, we always recorded the lower number of individuals (for details see29 ).…”
mentioning
confidence: 99%
“…Perceived and actual interference with human activities, and particularly predation on sheep and goats, has caused a heated debate countrywide (Behr et al 2017;Hunziker et al 2001). Despite the wolf has become a major topic in Switzerland, data collection is not systematic at the national level, and regional authorities have been using different methods to gather information (Dufresnes et al 2019;Roder et al 2020).…”
Section: Introductionmentioning
confidence: 99%