Literature DB >> 19132408

Pacific salmon effects on stream ecosystems: a quantitative synthesis.

David J Janetski1, Dominic T Chaloner, Scott D Tiegs, Gary A Lamberti.   

Abstract

Pacific salmon (Oncorhynchus spp.) disturb sediments and fertilize streams with marine-derived nutrients during their annual spawning runs, leading researchers to classify these fish as ecosystem engineers and providers of resource subsidies. While these processes strongly influence the structure and function of salmon streams, the magnitude of salmon influence varies widely across studies. Here, we use meta-analysis to evaluate potential sources of variability among studies in stream ecosystem responses to salmon. Results obtained from 37 publications that collectively included 79 streams revealed positive, but highly inconsistent, overall effects of salmon on dissolved nutrients, sediment biofilm, macroinvertebrates, resident fish, and isotopic enrichment. Variation in these response variables was commonly influenced by salmon biomass, stream discharge, sediment size, and whether studies used artificial carcass treatments or observed a natural spawning run. Dissolved nutrients were positively related to salmon biomass per unit discharge, and the slope of the relationship for natural runs was five to ten times higher than for carcass additions. Mean effects on ammonium and phosphorus were also greater for natural runs than carcass additions, an effect attributable to excretion by live salmon. In contrast, we observed larger positive effects on benthic macroinvertebrates for carcass additions than for natural runs, likely because disturbance by live salmon was absent. Furthermore, benthic macroinvertebrates and biofilm associated with small sediments (<32 mm) displayed a negative response to salmon while those associated with large sediments (>32 mm) showed a positive response. This comprehensive analysis is the first to quantitatively identify environmental and methodological variables that influence the observed effects of salmon. Identifying sources of variation in salmon-stream interactions is a critical step toward understanding why engineering and subsidy effects vary so dramatically over space and time, and toward developing management strategies that will preserve the ecological integrity of salmon streams.

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Year:  2009        PMID: 19132408     DOI: 10.1007/s00442-008-1249-x

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


  11 in total

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3.  Biological bulldozers and the evolution of marine benthic communities.

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5.  Meta-analysis: synthesizing research findings in ecology and evolution.

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Authors:  B P Finney; I Gregory-Eaves; J Sweetman; M S Douglas; J P Smol
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Authors:  Jonathan W Moore; Daniel E Schindler; Mark D Scheuerell
Journal:  Oecologia       Date:  2004-03-03       Impact factor: 3.225

9.  Interactive disturbance effects of two disparate ecosystem engineers in North American shortgrass steppe.

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Journal:  Oecologia       Date:  2008-05-27       Impact factor: 3.225

10.  Biotic control of stream fluxes: spawning salmon drive nutrient and matter export.

Authors:  Jonathan W Moore; Daniel E Schindler; Jackie L Carter; Justin Fox; Jennifer Griffiths; Gordon W Holtgrieve
Journal:  Ecology       Date:  2007-05       Impact factor: 5.499

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  23 in total

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5.  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

6.  Annual mass drownings of the Serengeti wildebeest migration influence nutrient cycling and storage in the Mara River.

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8.  Spawning salmon and the phenology of emergence in stream insects.

Authors:  Jonathan W Moore; Daniel E Schindler
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9.  Key components and contrasts in the nitrogen budget across a US-Canadian transboundary watershed.

Authors:  Jiajia Lin; Jana E Compton; Chris Clark; Shabtai Bittman; Donna Schwede; Peter S Homann; Peter Kiffney; David Hooper; Gary Bahr; Jill S Baron
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10.  Stoichiometric implications of a biphasic life cycle.

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