2019
DOI: 10.1007/s10530-019-02068-9
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Is the wild pig the real “big bad wolf”? Negative effects of wild pig on Atlantic Forest mammals

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Cited by 23 publications
(12 citation statements)
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“…Along with deforestation, Brazilian Atlantic forest is threatened by additional factors, such as the presence of invasive alien species and proximity to areas with intense human activity. As an example, the wild pig (Sus scrofa) competes with and reduces population sizes of several native mammals in Atlantic forest remnants (Hegel et al, 2019). In addition, proximity to humans may promote the occurrence of epizootic events in wild populations, as observed with malaria and yellow fever in non-human primates (Buery et al, 2017;Moreno et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Along with deforestation, Brazilian Atlantic forest is threatened by additional factors, such as the presence of invasive alien species and proximity to areas with intense human activity. As an example, the wild pig (Sus scrofa) competes with and reduces population sizes of several native mammals in Atlantic forest remnants (Hegel et al, 2019). In addition, proximity to humans may promote the occurrence of epizootic events in wild populations, as observed with malaria and yellow fever in non-human primates (Buery et al, 2017;Moreno et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…After 2016, and only on the island affected by wild boars, did we find a significant decline in snake counts, recruitment, and annual population growth rates in both species. These results provide further evidence that wild boars can be destructive when they proliferate, notably in the absence of predatory pressures (wolf or hunters) [14,[47][48][49].…”
Section: Discussionmentioning
confidence: 56%
“…investigate ecological patterns and theories (Lombardi et al, 2020;Robinson et al, 2014), interactions among native and invasive species (Dugger et al, 2016;Hegel et al, 2019;Osorio et al, 2020), Consequently, while the opportunity to apply multi-species occupancy models will likely increase, data collection procedures may not be at the correct spatial and temporal scales necessary to meet the closure assumption for many species. The simulations presented here emulated camera trapping data and the simulated level for detection was comparable to observed levels of daily detection for several carnivores (Shannon et al, 2014) F I G U R E 1 Proportion of simulations for which the estimates of (a) occupancy for Species A (Ψ A ), (b) occupancy of Species B given Species A was present (Ψ BA ) and occupancy of Species B, given that Species A was absent (Ψ Ba ) when the simulated pattern was independence (i.e., Ψ BA = Ψ Ba ), (c) Ψ BA and Ψ Ba when the simulated pattern was avoidance (i.e., Ψ BA < Ψ Ba ), and (d) Ψ BA and Ψ Ba when the simulated pattern was aggregation (i.e., Ψ BA > Ψ Ba ), was not different from the true simulated level of occupancy (based on 95% confidence intervals) when sites were closed or not closed (i. may be difficult to meet the closure assumption for some species (Mackenzie & Royle, 2005) due to logistical constraints (e.g., limited equipment or personnel) that require sampling to take longer than a period over which closure can be reasonably assumed (e.g., Johnson et al, 2020), or challenges identifying an appropriate spatial scale (e.g., Jornburom et al, 2020).…”
Section: Discussionmentioning
confidence: 99%