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Sorum MS, Cameron MD, Crupi A, Sage GK, Talbot SL, Hilderbrand GV, Joly K. Pronounced brown bear aggregation along anadromous streams in interior Alaska. WILDLIFE BIOLOGY 2023. [DOI: 10.1002/wlb3.01057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Affiliation(s)
- Mathew S. Sorum
- Gates of the Arctic National Park and Preserve, National Park Service Fairbanks Alaska USA
| | - Matthew D. Cameron
- Gates of the Arctic National Park and Preserve, National Park Service Fairbanks Alaska USA
| | | | - George K. Sage
- Far Northwestern Inst. of Art and Science, Alaska Office Alaska USA
| | - Sandra L. Talbot
- Far Northwestern Inst. of Art and Science, Alaska Office Alaska USA
| | | | - Kyle Joly
- Gates of the Arctic National Park and Preserve, National Park Service Fairbanks Alaska USA
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Kilfoil JP, Quinn TP, Wirsing AJ. Human effects on brown bear diel activity may facilitate subadults foraging on Pacific salmon. Glob Ecol Conserv 2023. [DOI: 10.1016/j.gecco.2023.e02407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/13/2023] Open
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Thompson PR, Lewis MA, Edwards MA, Derocher AE. Time-dependent memory and individual variation in Arctic brown bears (Ursus arctos). MOVEMENT ECOLOGY 2022; 10:18. [PMID: 35410401 PMCID: PMC8996616 DOI: 10.1186/s40462-022-00319-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/24/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Animal movement modelling provides unique insight about how animals perceive their landscape and how this perception may influence space use. When coupled with data describing an animal's environment, ecologists can fit statistical models to location data to describe how spatial memory informs movement. METHODS We performed such an analysis on a population of brown bears (Ursus arctos) in the Canadian Arctic using a model incorporating time-dependent spatial memory patterns. Brown bear populations in the Arctic lie on the periphery of the species' range, and as a result endure harsh environmental conditions. In this kind of environment, effective use of memory to inform movement strategies could spell the difference between survival and mortality. RESULTS The model we fit tests four alternate hypotheses (some incorporating memory; some not) against each other, and we found a high degree of individual variation in how brown bears used memory. We found that 71% (15 of 21) of the bears used complex, time-dependent spatial memory to inform their movement decisions. CONCLUSIONS These results, coupled with existing knowledge on individual variation in the population, highlight the diversity of foraging strategies for Arctic brown bears while also displaying the inference that can be drawn from this innovative movement model.
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Affiliation(s)
- Peter R Thompson
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
| | - Mark A Lewis
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada
| | - Mark A Edwards
- Mammalogy Department, Royal Alberta Museum, Edmonton, AB, Canada
- Department of Renewable Resources, University of Alberta, Edmonton, AB, Canada
| | - Andrew E Derocher
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
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Affiliation(s)
- Thomas P. Quinn
- School of Aquatic and Fishery Sciences, Box 355020, University of Washington, Seattle, WA 98195, USA
| | - Aaron J. Wirsing
- School of Environmental and Forest Sciences, Box 352100, University of Washington, Seattle, WA 98195, USA
| | - Michael Proctor
- Birchdale Ecological, P.O. Box 606, Kaslo, BC, V0G 1M0, Canada
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Lincoln A, Wirsing A, Quinn T. Prevalence and patterns of scavenging by brown bears ( Ursus arctos) on salmon ( Oncorhynchus spp.) carcasses. CAN J ZOOL 2021. [DOI: 10.1139/cjz-2020-0104] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Scavenging, an underappreciated mechanism of prey consumption for many predators, can contribute substantially to nutritional intake. Facultative scavengers such as brown bears (Ursus arctos Linnaeus, 1758) may both kill and scavenge Pacific salmon (genus Oncorhynchus Suckley, 1861), though the extent of scavenging and factors affecting this behavior are unclear. We tagged 899 sockeye salmon (Oncorhynchus nerka (Walbaum in Artedi, 1792)) carcasses and placed them on streambanks over 5 years at multiple sites in southwestern Alaska (USA) where brown bears annually prey on spawning sockeye salmon. Examination of carcasses revealed overall scavenging rates of 15% after 1 day and 54% after 3 days. Scavenging rate varied by site and year and increased throughout the salmon run. Contrary to predictions, scavenging was more frequent in senescent or bear-killed carcasses than ripe carcasses. Carcass consumption ranged from minimal to almost complete; body and brain tissues were most frequently consumed after 3 days (68% and 63% of carcasses, respectively). We also documented secondary scavenging (i.e., tissue consumption on two separate events) and delayed scavenging (i.e., scavenging observed after 3 days but not 1 day). Taken together, the results indicated that scavenging in these streams contributes significantly to total consumption of salmon by bears, with ramifications for other components of these salmon-dependent ecosystems.
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Affiliation(s)
- A.E. Lincoln
- School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat Street, Seattle, WA 98195, USA
| | - A.J. Wirsing
- School of Environmental and Forest Sciences, University of Washington, 4000 15th Avenue NE, Seattle, WA 98195, USA
| | - T.P. Quinn
- School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat Street, Seattle, WA 98195, USA
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Stable Isotopes Reveal Variation in Consumption of Pacific Salmon by Brown Bears, Despite Ready Access in Small Streams. JOURNAL OF FISH AND WILDLIFE MANAGEMENT 2020. [DOI: 10.3996/jfwm-20-034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Abstract
Brown bears Ursus arctos consume a wide range of organisms, including ungulates and plants, but Pacific salmon Oncorhynchus spp. are especially important to their diet where their ranges overlap. Although some brown bears minimize antagonistic encounters with other brown bears or infanticide by avoiding streams where salmon spawn, studies generally assume that brown bears with ready access to salmon feed heavily on them. To test this assumption, and the hypothesis that male brown bears would feed more heavily on salmon than females (owing to their sexual size dimorphism), we collected hair samples from brown bears by using barbed wire placed on six small tributaries of Lake Aleknagik, Alaska, USA, where adult Sockeye Salmon Oncorhynchus nerka are readily accessible and frequently consumed by brown bears. Analysis of DNA distinguished among the different brown bears leaving the hair samples, some of which were sampled multiple times within and among years. We assessed the contribution of salmon to the diet of individual brown bears by using carbon and nitrogen stable isotope signatures. The 77 samples analyzed from 31 different bears over 4 y showed isotopic ratios consistent with reliance on salmon, but the wide range of isotopic signatures included values suggesting variable, and in one case considerable, use of terrestrial resources. Stable isotope signatures did not differ between male and female brown bears, nor did they differ between two sides of the lake, despite marked differences in Sockeye Salmon density. We collected the hair samples when salmon were present, so there was some uncertainty regarding whether they reflected feeding during the current or previous season. Notwithstanding this caveat, the results are consistent with the hypothesis that salmon were sufficiently available to provide food for the brown bears and that the considerable isotopic variation among brown bears with access to salmon reflected their age, status, and behavior.
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Lincoln AE, Hilborn R, Wirsing AJ, Quinn TP. Managing salmon for wildlife: Do fisheries limit salmon consumption by bears in small Alaskan streams? ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2020; 30:e02061. [PMID: 31863535 DOI: 10.1002/eap.2061] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 10/28/2019] [Accepted: 11/13/2019] [Indexed: 06/10/2023]
Abstract
Ecosystem-based management requires consideration of overlapping resource use between humans and other consumers. Pacific salmon are an important resource for both fisheries and populations of wildlife around the Pacific rim, including coastal brown bears (Ursus arctos); salmon consumption has been positively linked to bear density, body size, and reproductive rate. As a case study within the broader context of human-wildlife competition for food, we used 16-22 yr of empirical data in four different salmon-bearing systems in southwestern Alaska to explore the relationship between sockeye salmon (Oncorhynchus nerka) availability and consumption by bears. We found a negative relationship between the annual biomass of salmon available to bears and the fraction of biomass consumed per fish, and a saturating relationship between salmon availability and the total annual biomass of salmon consumed by bears. Under modeled scenarios, bear consumption of salmon was predicted to increase only with dramatic (on the order of 50-100%) increases in prey availability. Even such large increases in salmon abundance were estimated to produce relatively modest increases in per capita salmon consumption by bears (2.4-4.8 kg·bear-1 ·d-1 , 15-59% of the estimated daily maximum per capita intake), in part because bears did not consume salmon entirely, especially when salmon were most available. Thus, while bears catching salmon in small streams may be limited by salmon harvest in some years, current management of the systems we studied is sufficient for bear populations to reach maximum salmon consumption every 2-4 yr. Consequently, allocating more salmon for brown bear conservation would unlikely result in an ecologically significant response for bears in these systems, though other ecosystem components might benefit. Our results highlight the need for documenting empirical relationships between prey abundance and consumption, particularly in systems with partial consumption, when evaluating the ecological response of managing prey resources for wildlife populations.
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Affiliation(s)
- Alexandra E Lincoln
- School of Aquatic and Fishery Sciences, University of Washington, 1122 Northeast Boat Street, Seattle, Washington, 98195, USA
| | - Ray Hilborn
- School of Aquatic and Fishery Sciences, University of Washington, 1122 Northeast Boat Street, Seattle, Washington, 98195, USA
| | - Aaron J Wirsing
- School of Environmental and Forest Sciences, University of Washington, 4000 15th Avenue Northeast, Seattle, Washington, 98195, USA
| | - Thomas P Quinn
- School of Aquatic and Fishery Sciences, University of Washington, 1122 Northeast Boat Street, Seattle, Washington, 98195, USA
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Wold K, Wirsing AJ, Quinn TP. Do brown bears Ursus arctos avoid barbed wires deployed to obtain hair samples? A videographic assessment. WILDLIFE BIOLOGY 2020. [DOI: 10.2981/wlb.00664] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Katherine Wold
- K. Wold (https://orcid.org/0000-0001-8787-8040) and T. P. Quinn (https://orcid.org/0000-0003-3163-579X) ✉ , School of Aquatic and Fishery Sciences, Univ. of Washington, Seattle, WA 98195, USA
| | - Aaron J. Wirsing
- A. J. Wirsing (https://orcid.org/0000-0001-8326-5394), School of Environmental and Forest Sciences, Univ. of Washington, Seattle, WA, USA
| | - Thomas P. Quinn
- K. Wold (https://orcid.org/0000-0001-8787-8040) and T. P. Quinn (https://orcid.org/0000-0003-3163-579X) ✉ , School of Aquatic and Fishery Sciences, Univ. of Washington, Seattle, WA 98195, USA
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Wirsing AJ, Quinn TP, Adams JR, Waits LP. Optimizing Selection of Brown Bear Hair for Noninvasive Genetic Analysis. WILDLIFE SOC B 2020. [DOI: 10.1002/wsb.1057] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Aaron J. Wirsing
- School of Environmental and Forest SciencesUniversity of Washington Box 352100 Seattle WA 98195 USA
| | - Thomas P. Quinn
- School of Aquatic and Fishery SciencesUniversity of Washington Box 355020 Seattle WA 98195 USA
| | - Jennifer R. Adams
- Department of Fish and Wildlife SciencesUniversity of Idaho 875 Perimeter Drive MS 1136 Moscow ID 83844‐1136 USA
| | - Lisette P. Waits
- Department of Fish and Wildlife SciencesUniversity of Idaho 875 Perimeter Drive MS 1136 Moscow ID 83844‐1136 USA
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Lincoln AE, Wirsing AJ, Quinn TP. Long-term use of non-invasive sampling methods: does successful sampling of brown bears by hair snares and camera traps change over time? WILDLIFE RESEARCH 2020. [DOI: 10.1071/wr19156] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract
Context Non-invasive sampling methods are widely used by ecologists to collect animal hair, images, tissue or signs. Sampling devices are imperfect, and collection success may vary over time owing to behavioural changes in study organisms or other factors. If collection success decreases, the utility of non-invasive sampling devices for longitudinal studies that rely on consistency may be compromised.
Aims Our primary objectives were to evaluate whether collection success of brown bear (Ursus arctos) hair by using hair snares and camera traps changed over time, and whether hair- and image-collection success was influenced by bear activity around the sampling site.
Methods We paired non-invasive sampling by hair snares with motion-activated cameras at six streams in Alaska over 4–6 years, so as to evaluate how often brown bears left samples on wires or were photographed by cameras, and whether this sampling success changed over time. Changes in sampling success were evaluated in the context of bear activity per sampling period as determined by camera data (number of bear–wire encounters) or hair snare (number of barbs with hair); genetic analyses allowed us to evaluate whether the same bears were sampled repeatedly.
Key results Overall, hair was collected in 78% and images in 73% of 2-day sampling periods when bears visited sites, and we observed no substantial change in the probability of successful sampling over time at 11 sites. The number of bear–wire encounters was positively correlated with the number of hair samples collected, as would be expected if sampling rates remained constant over time, and individual bears with previous wire experience were sampled in multiple years.
Conclusions Overall, the results indicated that sampling success by using hair snare and camera trap showed substantial interannual variability, but changes over time were not consistently identified across sites. Among-site variation in sampling success highlighted the importance of accounting for site-specific differences in sampling success, and neither method sampled unfailingly.
Implications Sampling by wires and cameras remained effective over time, suggesting that these non-invasive sampling methods may be successfully employed in long-term studies.
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Service CN, Bateman AW, Adams MS, Artelle KA, Reimchen TE, Paquet PC, Darimont CT. Salmonid species diversity predicts salmon consumption by terrestrial wildlife. J Anim Ecol 2019; 88:392-404. [PMID: 30618046 PMCID: PMC6850012 DOI: 10.1111/1365-2656.12932] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 11/07/2018] [Indexed: 11/30/2022]
Abstract
Resource waves—spatial variation in resource phenology that extends feeding opportunities for mobile consumers—can affect the behaviour and productivity of recipient populations. Interspecific diversity among Pacific salmon species (Oncorhynchus spp.) creates staggered spawning events across space and time, thereby prolonging availability to terrestrial wildlife. We sought to understand how such variation might influence consumption by terrestrial predators compared with resource abundance and intra‐ and interspecific competition. Using stable isotope analysis, we investigated how the proportion of salmon in the annual diet of male black bears (Ursus americanus; n = 405) varies with species diversity and density of spawning salmon biomass, while also accounting for competition with sympatric black and grizzly bears (U. arctos horribilis), in coastal British Columbia, Canada. We found that the proportion of salmon in the annual diet of black bears was ≈40% higher in the absence of grizzly bears, but detected little effect of relative black bear density and salmon biomass density. Rather, salmon diversity had the largest positive effect on consumption. On average, increasing diversity from one salmon species to ~four (with equal biomass contributions) approximately triples the proportion of salmon in diet. Given the importance of salmon to bear life histories, this work provides early empirical support for how resource waves may increase the productivity of consumers at population and landscape scales. Accordingly, terrestrial wildlife management might consider maintaining not only salmon abundance but also diversity.
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Affiliation(s)
- Christina N Service
- Department of Geography, University of Victoria, Victoria, British Columbia, Canada.,Hakai Institute, Heriot Bay, British Columbia, Canada.,Raincoast Conservation Foundation, Sidney, British Columbia, Canada.,Spirit Bear Research Foundation, Klemtu, British Columbia, Canada
| | - Andrew W Bateman
- Department of Geography, University of Victoria, Victoria, British Columbia, Canada.,Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.,Salmon Coast Field Station, Echo Bay, British Columbia, Canada
| | - Megan S Adams
- Department of Geography, University of Victoria, Victoria, British Columbia, Canada.,Hakai Institute, Heriot Bay, British Columbia, Canada.,Raincoast Conservation Foundation, Sidney, British Columbia, Canada
| | - Kyle A Artelle
- Department of Geography, University of Victoria, Victoria, British Columbia, Canada.,Hakai Institute, Heriot Bay, British Columbia, Canada.,Raincoast Conservation Foundation, Sidney, British Columbia, Canada.,Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Thomas E Reimchen
- Department of Biology, University of Victoria, Victoria, British Columbia, Canada
| | - Paul C Paquet
- Department of Geography, University of Victoria, Victoria, British Columbia, Canada.,Raincoast Conservation Foundation, Sidney, British Columbia, Canada
| | - Chris T Darimont
- Department of Geography, University of Victoria, Victoria, British Columbia, Canada.,Hakai Institute, Heriot Bay, British Columbia, Canada.,Raincoast Conservation Foundation, Sidney, British Columbia, Canada
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