Literature DB >> 27873066

Diverse foraging opportunities drive the functional response of local and landscape-scale bear predation on Pacific salmon.

Thomas P Quinn1, Curry J Cunningham2,3, Aaron J Wirsing4.   

Abstract

The relationship between prey abundance and predation is often examined in single habitat units or populations, but predators may occupy landscapes with diverse habitats and foraging opportunities. The vulnerability of prey within populations may depend on habitat features that hinder predation, and increased density of conspecifics in both the immediate vicinity and the broader landscape. We evaluated the relative effects of physical habitat, local, and neighborhood prey density on predation by brown bears on sockeye salmon in a suite of 27 streams using hierarchical Bayesian functional response models. Stream depth and width were inversely related to the maximum proportion of salmon killed, but not the asymptotic limit on total number killed. Interannual variation in predation was density dependent; the number of salmon killed increased with fish density in each stream towards an asymptote. Seven streams in two geographical groups with ≥23 years of data in common were then analyzed for neighborhood density effects. In most (12 of 18) cases predation in a stream was reduced by increasing salmon abundance in neighboring streams. The uncertainty in the estimates for these neighborhood effects may have resulted from interactions between salmon abundance and habitat that influenced foraging by bears, and from bear behavior (e.g., competitive exclusion) and abundance. Taken together, the results indicated that predator-prey interactions depend on density at multiple spatial scales, and on habitat features of the surrounding landscape. Explicit consideration of this context dependency should lead to improved understanding of the ecological impacts of predation across ecosystems and taxa.

Entities:  

Keywords:  Bears; Density; Functional response; Habitat; Hierarchical Bayes; Oncorhynchus; Predation; Salmon; Ursus

Mesh:

Year:  2016        PMID: 27873066     DOI: 10.1007/s00442-016-3782-3

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  19 in total

1.  Biocomplexity and fisheries sustainability.

Authors:  Ray Hilborn; Thomas P Quinn; Daniel E Schindler; Donald E Rogers
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-12       Impact factor: 11.205

2.  A functional response model of a predator population foraging in a patchy habitat.

Authors:  Gösta Nachman
Journal:  J Anim Ecol       Date:  2006-07       Impact factor: 5.091

3.  Hierarchical bayesian statistics: merging experimental and modeling approaches in ecology.

Authors:  Kiona Ogle
Journal:  Ecol Appl       Date:  2009-04       Impact factor: 4.657

4.  Optimal foraging, the marginal value theorem.

Authors:  E L Charnov
Journal:  Theor Popul Biol       Date:  1976-04       Impact factor: 1.570

5.  Predicting predation through prey ontogeny using size-dependent functional response models.

Authors:  Michael W McCoy; Benjamin M Bolker; Karen M Warkentin; James R Vonesh
Journal:  Am Nat       Date:  2011-06       Impact factor: 3.926

6.  Spatial arrangement of prey affects the shape of ratio-dependent functional response in strongly antagonistic predators.

Authors:  Thomas J Hossie; Dennis L Murray
Journal:  Ecology       Date:  2016-04       Impact factor: 5.499

7.  Density-dependent prey mortality is determined by the spatial scale of predator foraging.

Authors:  Erin K McCarthy; J Wilson White
Journal:  Oecologia       Date:  2015-06-27       Impact factor: 3.225

8.  The functional response of a generalist predator.

Authors:  Sophie Smout; Christian Asseburg; Jason Matthiopoulos; Carmen Fernández; Stephen Redpath; Simon Thirgood; John Harwood
Journal:  PLoS One       Date:  2010-05-27       Impact factor: 3.240

9.  Consumption of salmon by Alaskan brown bears: a trade-off between nutritional requirements and the risk of infanticide?

Authors:  Merav Ben-David; Kimberly Titus; LaVern R Beier
Journal:  Oecologia       Date:  2003-12-13       Impact factor: 3.225

10.  Group formation stabilizes predator-prey dynamics.

Authors:  John M Fryxell; Anna Mosser; Anthony R E Sinclair; Craig Packer
Journal:  Nature       Date:  2007-10-25       Impact factor: 49.962

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  4 in total

1.  Effects of habitat features on size-biased predation on salmon by bears.

Authors:  Luke C Andersson; John D Reynolds
Journal:  Oecologia       Date:  2017-03-01       Impact factor: 3.225

2.  Phenological synchronization disrupts trophic interactions between Kodiak brown bears and salmon.

Authors:  William W Deacy; Jonathan B Armstrong; William B Leacock; Charles T Robbins; David D Gustine; Eric J Ward; Joy A Erlenbach; Jack A Stanford
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-21       Impact factor: 11.205

3.  Alaskan brown bears (Ursus arctos) aggregate and display fidelity to foraging neighborhoods while preying on Pacific salmon along small streams.

Authors:  Aaron J Wirsing; Thomas P Quinn; Curry J Cunningham; Jennifer R Adams; Apryle D Craig; Lisette P Waits
Journal:  Ecol Evol       Date:  2018-08-19       Impact factor: 2.912

4.  Relationships between Pacific salmon and aquatic and terrestrial ecosystems: implications for ecosystem-based management.

Authors:  Jessica C Walsh; Jane E Pendray; Sean C Godwin; Kyle A Artelle; Holly K Kindsvater; Rachel D Field; Jennifer N Harding; Noel R Swain; John D Reynolds
Journal:  Ecology       Date:  2020-08-20       Impact factor: 5.499

  4 in total

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