scholarly journals Seasonal Spatial Ecology of Mountain Lions (Puma concolor) in the Central Sierra Nevada

2018 ◽  
Vol 78 (2) ◽  
pp. 143-156 ◽  
Author(s):  
Justin A. Dellinger ◽  
Eric R. Loft ◽  
Ronald C. Bertram ◽  
Donald L. Neal ◽  
Marc W. Kenyon ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Jeffrey T. Villepique ◽  
Becky M. Pierce ◽  
Vernon C. Bleich ◽  
Aleksandra Andic ◽  
R. Terry Bowyer

We investigated influences of risk of predation by mountain lions (Puma concolor), topographic metrics at multiple scales, and vegetation, land, and snow cover on resource selection by Sierra Nevada bighorn sheep (Ovis canadensis sierrae), an endangered taxon, during winters 2002–2007, in the Sierra Nevada, California, USA. We hypothesized that those mountain ungulates would trade off rewards accrued from using critical low-elevation habitat in winter for the safety of areas with reduced risk of predation. Sierra Nevada bighorn sheep did not trade off benefits of forage for reduced risk of predation but selected areas of high solar radiation, a correlate of vegetation productivity, where risk of predation by mountain lions was greatest, while mitigating indirect risk of predation by selecting for steep, rugged terrain. Bighorn sheep selected more strongly for areas where mountain lions were active, than for low-elevation habitat in winter, likely because mountain lions were most active in those areas of bighorn sheep winter ranges overlapping ranges of mule deer (Odocoileus hemionus), where both ungulates accrued forage benefits. We demonstrated reduced benefit of migration to low elevation during drought years, providing an alternative explanation to the predator-induced abandonment hypothesis for the disuse of low-elevation winter range observed during drought years.


Author(s):  
Audra A. Huffmeyer ◽  
Jeff A. Sikich ◽  
T. Winston Vickers ◽  
Seth P.D. Riley ◽  
Robert K. Wayne

2018 ◽  
Vol 28 ◽  
Author(s):  
Jaime , L. Rudd ◽  
Stella , C. McMillin ◽  
Marc, W. Kenyon ◽  
Deana , L. Clifford ◽  
Robert , H. Poppenga

2015 ◽  
Vol 97 (2) ◽  
pp. 373-385 ◽  
Author(s):  
David T. Wilckens ◽  
Joshua B. Smith ◽  
Stephanie A. Tucker ◽  
Daniel J. Thompson ◽  
Jonathan A. Jenks

Abstract Recent recolonization of mountain lions ( Puma concolor ) into the Little Missouri Badlands of North Dakota has led to questions regarding the potential impacts of predation on prey populations in the region. From 2012 to 2013, we deployed 9 real-time GPS collars to investigate mountain lion feeding habits. We monitored mountain lions for 1,845 telemetry-days, investigated 506 GPS clusters, and identified 292 feeding events. Deer ( Odocoileus spp.) were the most prevalent item in mountain lion diets (76.9%). We used logistic regression to predict feeding events and size of prey consumed at an additional 535 clusters. Our top model for predicting presence of prey items produced a receiver operating characteristic score of 0.90 and an overall accuracy of 81.4%. Application of our models to all GPS clusters resulted in an estimated ungulate kill rate of 1.09 ungulates/week (95% confidence interval [ CI ] = 0.83–1.36) in summer (15 May‒15 November) and 0.90 ungulates/week (95% CI = 0.69–1.12) in winter (16 November‒14 May). Estimates of total biomass consumed were 5.8kg/day (95% CI = 4.7–6.9) in summer and 7.2kg/day (95% CI = 5.3–9.2) in winter. Overall scavenge rates were 3.7% in summer and 11.9% in winter. Prey composition included higher proportions of nonungulates in summer (female = 21.5%; male = 24.8%) than in winter (female = 4.8%; male = 7.5%). Proportion of juvenile ungulates in mountain lion diets increased during the fawning season (June‒August) following the ungulate birth pulse in June (June–August = 60.7%, 95% CI = 43.0–78.3; September–May = 37.2%, 95% CI = 30.8–43.7), resulting in an ungulate kill rate 1.61 times higher (1.41 ungulates/week, 95% CI = 1.12–1.71) than during the remainder of the year (0.88 ungulates/week, 95% CI = 0.62–1.13). Quantifying these feeding characteristics is essential to assessing the potential impacts of mountain lions on prey populations in the North Dakota Badlands, where deer dominate the available prey base and mountain lions represent the lone apex predator.


2007 ◽  
Vol 52 (1) ◽  
pp. 161-164 ◽  
Author(s):  
Steve P. Galentine ◽  
Pamela K. Swift
Keyword(s):  

2007 ◽  
Vol 43 (2) ◽  
pp. 274-278 ◽  
Author(s):  
Francisco A. Uzal ◽  
Robin S. Houston ◽  
Seth P. D. Riley ◽  
Robert Poppenga ◽  
Jenee Odani ◽  
...  

2021 ◽  
Vol 57 (1) ◽  
Author(s):  
Mary H. Straub ◽  
Jaime L. Rudd ◽  
Leslie W. Woods ◽  
Deana L. Clifford ◽  
Janet E. Foley

2002 ◽  
Vol 5 (4) ◽  
pp. 317-324 ◽  
Author(s):  
M. M. Grigione ◽  
P. Beier ◽  
R. A. Hopkins ◽  
D. Neal ◽  
W. D. Padley ◽  
...  

2021 ◽  
Vol 118 (5) ◽  
pp. e2004592118
Author(s):  
Barry A. Nickel ◽  
Justin P. Suraci ◽  
Anna C. Nisi ◽  
Christopher C. Wilmers

Energetic demands and fear of predators are considered primary factors shaping animal behavior, and both are likely drivers of movement decisions that ultimately determine the spatial ecology of wildlife. Yet energetic constraints on movement imposed by the physical landscape have only been considered separately from those imposed by risk avoidance, limiting our understanding of how short-term movement decisions scale up to affect long-term space use. Here, we integrate the costs of both physical terrain and predation risk into a common currency, energy, and then quantify their effects on the short-term movement and long-term spatial ecology of a large carnivore living in a human-dominated landscape. Using high-resolution GPS and accelerometer data from collared pumas (Puma concolor), we calculated the short-term (i.e., 5-min) energetic costs of navigating both rugged physical terrain and a landscape of risk from humans (major sources of both mortality and fear for our study population). Both the physical and risk landscapes affected puma short-term movement costs, with risk having a relatively greater impact by inducing high-energy but low-efficiency movement behavior. The cumulative effects of short-term movement costs led to reductions of 29% to 68% in daily travel distances and total home range area. For male pumas, long-term patterns of space use were predominantly driven by the energetic costs of human-induced risk. This work demonstrates that, along with physical terrain, predation risk plays a primary role in shaping an animal’s “energy landscape” and suggests that fear of humans may be a major factor affecting wildlife movements worldwide.


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