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Paul M. Lukacs
University of Montana
EcologyPopulationMark and recaptureBiologySampling (statistics)
83Publications
20H-index
1,630Citations
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Publications 88
Newest
#1David M. TheobaldH-Index: 41
#2Tanya M. ShenkH-Index: 12
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#1Pedro Monterroso (University of Porto)H-Index: 10
#2Francisco Díaz-Ruiz (UMA: University of Málaga)H-Index: 7
Last. Pablo Ferreras (CSIC: Spanish National Research Council)H-Index: 32
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Competition is a widespread interaction among carnivores, ultimately manifested through one or more dimensions of the species' ecological niche. One of the most explicit manifestations of competitive interactions regards spatial displacement. Its interpretation under a theoretical context provides an important tool to deepen our understanding of biological systems and communities, but also for wildlife management and conservation. We used Bayesian multi-species occupancy models on camera trappin...
Source
#1Casey C. Day (UM: University of Montana)H-Index: 1
#2Erin L. Landguth (UM: University of Montana)H-Index: 26
Last. Andrew Bearlin (Seattle City Light)H-Index: 2
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#1Eric J. BergmanH-Index: 8
#2Forest P. Hayes (UM: University of Montana)
Last. Chad J. Bishop (UM: University of Montana)
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Survey data improve population management, yet those data often have associated bias. We quantified one source of bias in moose survey data (observer detection probability, p), by using repeated ground-observations of calves-at-heel of radio-collared moose in Colorado, USA. Detection probabilities, which varied both spatially and temporally, were estimated using an occupancy-modelling framework. We provide an efficient offset for modelled calf-at-heel occupancy (ψ) estimates that accommodates su...
Source
#1Paul M. Lukacs (UM: University of Montana)H-Index: 20
#2Diane Evans Mack (Idaho Department of Fish and Game)H-Index: 1
Last. Zack Walker (AmeriCorps VISTA)
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Source
#1Robert C. Lonsinger (South Dakota State University)H-Index: 5
#2Paul M. Lukacs (UM: University of Montana)H-Index: 20
Last. Lisette P. Waits (UIdaho: University of Idaho)H-Index: 54
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Abundance estimators are often evaluated with simulations, or by comparing estimates to populations of known size. Advances in noninvasive genetic sampling have fueled an increase in the use of noninvasive genetic sampling-based capture–recapture. However, when working with free-ranging populations of unknown size, managers often lack data necessary to select the appropriate estimator. This leads to uncertainty regarding how choice of estimator or sampling design influence estimates, and manager...
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#1Michael A. Tabak (UW: University of Wyoming)H-Index: 6
#2Mohammad Sadegh Norouzzadeh (UW: University of Wyoming)H-Index: 7
Last. Ryan S. Miller (USDA: United States Department of Agriculture)H-Index: 16
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17 CitationsSource
#1Sarah B. BassingH-Index: 4
#2David E. Ausband (Idaho Department of Fish and Game)H-Index: 13
Last. Lisette P. WaitsH-Index: 54
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#2Paul M. LukacsH-Index: 20
Last. Lisette P. WaitsH-Index: 54
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Source
#1Anna K. Moeller (UM: University of Montana)H-Index: 2
#2Paul M. Lukacs (UM: University of Montana)H-Index: 20
Last. Jon S. Horne (Idaho Department of Fish and Game)H-Index: 1
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6 CitationsSource
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