Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-19T00:09:46.388Z Has data issue: false hasContentIssue false

6 - Multiple stressor effects on freshwater fish: a review and meta-analysis

Published online by Cambridge University Press:  05 December 2015

Christoph D. Matthaei
Affiliation:
University of Otago
Katharina Lange
Affiliation:
EAWAG Swiss Federal Institute of Aquatic Science and Technology
Gerard P. Closs
Affiliation:
University of Otago, New Zealand
Martin Krkosek
Affiliation:
University of Toronto
Julian D. Olden
Affiliation:
University of Washington
Get access

Summary

INTRODUCTION

A stressor can be defined as a variable that, as a result of human activity, exceeds its normal range of variation and affects individual species or communities (modified after Townsend et al., 2008). Most present-day ecosystems are exposed to multiple stressors acting simultaneously (Vinebrooke et al., 2004; Crain et al., 2008; Dudgeon, 2010) or sequentially (Christensen et al., 2006). Therefore, multiple stressors research is highly relevant for both fundamental and applied science, and when trying to deal with complex global problems. For example, multiple-stressor effects are believed to be responsible for the ongoing global declines of honeybees (reviews by Potts et al., 2010; Aebi & Neumann, 2011), amphibians (reviews by Sodhi et al., 2008; Mann et al., 2009; Hof et al., 2011), coral reefs (reviews by Harvey et al., 2013; McLeod et al., 2013) and freshwater biodiversity (reviews by Allan, 2004; Dudgeon, 2010; Ormerod et al., 2010; Vörösmarty et al., 2010; Woodward et al., 2010). Multiple-stressors effects are also a central concern when trying to understand and predict the all-pervasive impacts of global climate change (reviews by Lindenmayer et al., 2010; Woodward et al., 2010; Chmura et al., 2011; Hof et al., 2011; Harvey et al., 2013; McLeod et al., 2013).

The development of a general theory of multiple stressors has started relatively recently (Hay et al., 1994; Hay, 1996; Folt et al., 1999; Swanson, 2004; Vinebrooke et al., 2004) and is still ongoing (e.g. Crain et al., 2008; Downes, 2010; Statzner & Bêche, 2010; Boone et al., 2011; Verberk et al., 2013). The combined action of multiple stressors can produce either simple or complex responses. According to Folt et al. (1999), ‘simple’ additive responses are patterns where the effect of all stressors combined is equal to the sum of the effects of each individual stressor. By contrast, ‘complex’ outcomes can be synergistic or antagonistic, when the combined effect is either larger or smaller than one would expect based on the individual effects of each stressor.

From the viewpoint of a resource manager or conservation ecologist, complex outcomes of interacting multiple stressors are particularly important because they can lead to ‘ecological surprises’ (Paine et al., 1998; Lindenmayer et al., 2010). For example, due to synergistic interactions between stressors, the actual threat to a given endangered ecosystem may be far more severe than expected based on the combined knowledge from all single-stressor studies conducted to help protect this ecosystem.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2015

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aebi, A. & Neumann, P. (2011). Endosymbionts and honey bee colony losses?Trends in Ecology and Evolution, 26, 494–494.CrossRefGoogle ScholarPubMed
Allan, J. D. (2004). Landscapes and riverscapes: the influence of land use on stream ecosystems. Annual Review of Ecology, Evolution and Systematics, 35, 257–284.CrossRefGoogle Scholar
Awata, S., Tsuruta, T., Yada, T. & Iguchi, K. (2011). Effects of suspended sediment on cortisol levels in wild and cultured strains of ayu Plecoglossus altivelis. Aquaculture, 314, 115–121.CrossRefGoogle Scholar
Banks, J. L. (1994). Raceway density and water-flows as factors affecting spring chinhook salmon (Oncorhynchus tshawytscha) during release and after release. Aquaculture, 119, 201–217.CrossRefGoogle Scholar
Beard, T. D., Arlinghaus, R., Cooke, S. J., et al. (2011). Ecosystem approach to inland fisheries: research needs and implementation strategies. Biology Letters, 7, 481–483.CrossRefGoogle ScholarPubMed
Bernhardt, E. S. & Palmer, M. A. (2011). River restoration: the fuzzy logic of repairing reaches to reverse catchment scale degradation. Ecological Applications, 21, 1926–1931.CrossRefGoogle ScholarPubMed
Bernhardt, E. S., Palmer, M. A., Allan, J. D., et al. (2005). Synthesizing U.S. river restoration efforts. Science, 308, 636–637.CrossRefGoogle ScholarPubMed
Blanar, C. A., Curtis, M. A. & Chan, H. M. (2005). Growth, nutritional composition, and hematology of Arctic charr (Salvelinus alpinus) exposed to toxaphene and tapeworm (Diphyllobothrium dendriticum) larvae. Archives of Environmental Contamination and Toxicology, 48, 397–404.CrossRefGoogle ScholarPubMed
Boone, E., Ye, K. & Smith, E. (2011). Assessing environmental stressors via Bayesian model averaging in the presence of missing data. Environmetrics, 22, 13–22.CrossRefGoogle Scholar
Bowen, L., Werner, I. & Johnson, M. L. (2006). Physiological and behavioral effects of zinc and temperature on coho salmon (Oncorhynchus kisutch). Hydrobiologia, 559, 161–168.CrossRefGoogle Scholar
Brook, B. W., Sodhi, N. S. & Bradshaw, C. J. (2008). Synergies among extinction drivers under global change. Trends in Ecology & Evolution, 23, 453–460.CrossRefGoogle ScholarPubMed
Brown, C. J., Saunders, M. I., Possingham, H. P. & Richardson, A. J. (2013). Managing for interactions between local and global stressors of ecosystems. PLoS ONE, 8, e65765.CrossRefGoogle ScholarPubMed
Chmura, D. J., Anderson, P. D., Howe, G. T., et al. (2011). Forest responses to climate change in the northwestern United States: ecophysiological foundations for adaptive management. Forest Ecology and Management, 261, 1121–1142.CrossRefGoogle Scholar
Christensen, M. R., Graham, M. D., Vinebrooke, R. D., et al. (2006). Multiple anthropogenic stressors cause ecological surprises in boreal lakes. Global Change Biology, 12, 2316–2322.CrossRefGoogle Scholar
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Seond edition. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Cottingham, K. L., Lennon, J. T. & Brown, B. L. (2005). Knowing when to draw the line: designing more informative ecological experiments. Frontiers in Ecology and the Environment, 3, 145–152.CrossRefGoogle Scholar
Couillard, C. M., Courtenay, S. C. & Macdonald, R. W. (2008a). Chemical–environment interactions affecting the risk of impacts on aquatic organisms: a review with a Canadian perspective – interactions affecting vulnerability. Environmental Reviews, 16, 19–44.Google Scholar
Couillard, C. M., Macdonald, R. W., Courtenay, S. C. & Palace, V. P. (2008b). Chemical–environment interactions affecting the risk of impacts on aquatic organisms: a review with a Canadian perspective – interactions affecting exposure. Environmental Reviews, 16, 1–17.Google Scholar
Crain, C. M., Kroeker, K. & Halpern, B. S. (2008). Interactive and cumulative effects of multiple human stressors in marine systems. Ecology Letters, 11, 1304–1315.CrossRefGoogle ScholarPubMed
Darling, E. S. & Côté, I. M. (2008). Quantifying the evidence for ecological synergies. Ecology Letters, 11, 1278–1286.CrossRefGoogle ScholarPubMed
Downes, B. J. (2010). Back to the future: little used tools and principles of scientific inference can help disentangle effects of multiple stressors on freshwater ecosystems. Freshwater Biology, 55(S1), 60–79.CrossRefGoogle Scholar
Drake, D. A. R. & Mandrak, N. E. (2014). Harvest models and stock co-occurrence: probabilistic methods for estimating bycatch. Fish and Fisheries, 15, 23–42.CrossRefGoogle Scholar
Dudgeon, D. (2010). Prospects for sustaining freshwater biodiversity in the 21st century: linking ecosystem structure and function. Current Opinion in Environmental Sustainability, 2, 422–430.CrossRefGoogle Scholar
Dudgeon, D., Arthington, A. H., Gessner, M. O., et al. (2006). Freshwater biodiversity: importance, threats, status and conservation challenges. Biological Reviews, 81, 163–182.CrossRefGoogle ScholarPubMed
Ehlers, A., Worm, B. & Reusch, T. B. (2008). Importance of genetic diversity in eelgrass Zostera marina for its resilience to global warming. Marine Ecology Progress Series, 355, 1–7.CrossRefGoogle Scholar
Erickson, R. J., Kleiner, C. F., Fiandt, J. T. & Highland, T. L. (1997). Effect of acclimation period on the relationship of acute copper toxicity to water hardness for fathead minnows. Environmental Toxicology and Chemistry, 16, 813–815.CrossRefGoogle Scholar
Espinoza-Tenorio, A., Wolff, M., Taylor, M. H. & Espejel, I. (2012). What model suits ecosystem-based fisheries management? A plea for a structured modeling process. Reviews in Fish Biology and Fisheries, 22, 81–94.CrossRefGoogle Scholar
European Commission. (2000). The EU Water Framework Directive – Integrated River Basin Management for Europe. Directive 2000/60/EC.
Everson, I., Taabu-Munyaho, A. & Kayanda, R. (2013). Acoustic estimates of commercial fish species in Lake Victoria: moving towards ecosystem-based fisheries management. Fisheries Research, 139, 65–75.CrossRefGoogle Scholar
Fausch, K. D., Baxter, C. V. & Murakami, M. (2010). Multiple stressors in north temperate streams: lessons from linked foreststream ecosystems in northern Japan. Freshwater Biology, 55, 120–134.CrossRefGoogle Scholar
Fogarty, M. J. & Rose, K. (2013). The art of ecosystem-based fishery management. Canadian Journal of Fisheries and Aquatic Sciences, 71, 479–490.Google Scholar
Folt, C. L., Chen, C. Y., Moore, M. V. & Burnaford, J. (1999). Synergism and antagonism among multiple stressors. Limnology and Oceanography, 44, 864–877.CrossRefGoogle Scholar
Gonzalez, M. J., Knoll, L. B. & Vanni, M. J. (2010). Differential effects of elevated nutrient and sediment inputs on survival, growth and biomass of a common larval fish species (Dorosoma cepedianum). Freshwater Biology, 55, 654–669.CrossRefGoogle Scholar
Grimm, N. B., Faeth, S. H., Golubiewski, N. E., et al. (2008). Global change and the ecology of cities. Science, 319, 756–760.CrossRefGoogle ScholarPubMed
Gurevitch, J., Morrison, J. A. & Hedges, L. V. (2000). The interaction between competition and predation: a meta-analysis of field experiments. American Naturalist, 155, 435–453.Google ScholarPubMed
Haase, P., Hering, D., Jaehnig, S. C., Lorenz, A. W. & Sundermann, A. (2013). The impact of hydromorphological restoration on river ecological status: a comparison of fish, benthic invertebrates, and macrophytes. Hydrobiologia, 704, 475–488.CrossRefGoogle Scholar
Häkkinen, J., Vehniainen, E. & Oikari, A. (2004). High sensitivity of northern pike larvae to UV-B but no UV-photoinduced toxicity of retene. Aquatic Toxicology, 66, 393–404.CrossRefGoogle ScholarPubMed
Harvey, B. P., Gwynn-Jones, D. & Moore, P. J. (2013). Meta-analysis reveals complex marine biological responses to the interactive effects of ocean acidification and warming. Ecology and Evolution, 3, 1016–1030.CrossRefGoogle ScholarPubMed
Hay, M. E. (1996). Defensive synergisms? Reply to Pennings. Ecology, 77, 1950–1952.CrossRefGoogle Scholar
Hay, M. E., Kappel, Q. E. & Fenical, W. (1994). Synergisms in plant defenses against herbivores: interactions of chemistry, calcification, and plant quality. Ecology, 75, 1714–1726.CrossRefGoogle Scholar
Hedges, L. V. & Olkin, I. (1985). Statistical Methods for Meta-analysis. New York, NY: Academic Press.Google Scholar
Heier, L. S., Teien, H. C., Oughton, D., et al. (2013). Sublethal effects in Atlantic salmon (Salmo salar) exposed to mixtures of copper, aluminium and gamma radiation. Journal of Environmental Radioactivity, 121, 33–42.CrossRefGoogle ScholarPubMed
Heino, J., Schmera, D. & Erős, T. (2013). A macroecological perspective of trait patterns in stream communities. Freshwater Biology, 58, 1539–1555.CrossRefGoogle Scholar
Hof, C., Araújo, M. B., Jetz, W. & Rahbek, C. (2011). Additive threats from pathogens, climate and land-use change for global amphibian diversity. Nature, 480, 516–519.CrossRefGoogle ScholarPubMed
Hughes, R. M., Dunham, S., Maas-Hebner, K. G., et al. (2014). A review of urban water body challenges and approaches: (1) rehabilitation and remediation. Fisheries, 39, 18–29.Google Scholar
Hurlbert, S. H. (1984). Pseudoreplication and the design of ecological field experiments. Ecological Monographs, 54, 187–211.CrossRefGoogle Scholar
Inendino, K. R., Grant, E. C., Philipp, D. P. & Goldberg, T. L. (2005). Effects of factors related to water quality and population density on the sensitivity of juvenile largemouth bass to mortality induced by viral infection. Journal of Aquatic Animal Health, 17, 304–314.CrossRefGoogle Scholar
Jähnig, S., Lorenz, A. W., Hering, D., et al. (2011). River restoration success: a question of perception. Ecological Applications, 21, 2007–2015.CrossRefGoogle Scholar
Johnson, J. E., Patterson, D. A., Martins, E. G., Cooke, S. J. & Hinch, S. G. (2012). Quantitative methods for analysing cumulative effects on fish migration success: a review. Journal of Fish Biology, 81, 600–631.CrossRefGoogle ScholarPubMed
Jokinen, I. E., Salo, H. M., Markkula, E., et al. (2011). Additive effects of enhanced ambient ultraviolet B radiation and increased temperature on immune function, growth and physiological condition of juvenile (parr) Atlantic Salmon, Salmo salar. Fish & Shellfish Immunology, 30, 102–108.CrossRefGoogle ScholarPubMed
Jones, D. T., Moffitt, C. M. & Peters, K. K. (2007). Temperature-mediated differences in bacterial kidney disease expression and survival in Renibacterium salmoninarum-challenged bull trout and other salmonids. North American Journal of Fisheries Management, 27, 695–706.CrossRefGoogle Scholar
Kemp, P., Sear, D., Collins, A., Naden, P. & Jones, I. (2011). The impacts of fine sediment on riverine fish. Hydrological Processes, 25, 1800–1821.CrossRefGoogle Scholar
Kocan, R., Hershberger, P., Sanders, G. & Winton, J. (2009). Effects of temperature on disease progression and swimming stamina in Ichthyophonus-infected rainbow trout, Oncorhynchus mykiss (Walbaum). Journal of Fish Diseases, 32, 835–843.CrossRefGoogle ScholarPubMed
Lahnsteiner, F., Haunschmid, R. & Mansour, N. (2011). Possible reasons for late summer brown trout (Salmo trutta Linnaeus 1758) mortality in Austrian prealpine river systems. Journal of Applied Ichthyology, 27, 83–93.CrossRefGoogle Scholar
Lange, K., Townsend, C. R., Gabrielsson, R., Chanut, P. C. M. & Matthaei, C. D. (2014). Responses of stream fish populations to farming intensity and water abstraction in an agricultural catchment. Freshwater Biology, 59, 286–299.CrossRefGoogle Scholar
Lapointe, D., Pierron, F. & Couture, P. (2011). Individual and combined effects of heat stress and aqueous or dietary copper exposure in fathead minnows (Pimephales promelas). Aquatic Toxicology, 104, 80–85.CrossRefGoogle ScholarPubMed
Lapointe, N. W. R., Cooke, S. J., Imhof, J. G., et al. (2014). Principles for ensuring healthy and productive freshwater ecosystems that support sustainable fisheries. Environmental Reviews, 22, 110–134.CrossRefGoogle Scholar
Leino, R. L. & McCormick, J. H. (1993). Responses of juvenile largemouth bass to different pH and aliminium levels at overwintering temperatures – effects on gill morphology, electrolyte balance, scale calcium, liver glycogen, and depot fat. Canadian Journal of Zoology, 71, 531–543.CrossRefGoogle Scholar
Levi, T., Darimont, C. T., MacDuffee, M., et al. (2012). Using grizzly bears to assess harvest-ecosystem tradeoffs in salmon fisheries. PLoS Biology, 10, e1001303.CrossRefGoogle ScholarPubMed
Lindenmayer, D. B., Likens, G. E., Krebs, C. J. & Hobbs, R. J. (2010). Improved probability of detection of ecological ‘surprises’. Proceedings of the National Academy of Sciences, 107, 21957–21962.CrossRefGoogle Scholar
Linton, T. K., Reid, S. D. & Wood, C. M. (1999). Effects of a restricted ration on the growth and energetics of juvenile rainbow trout exposed to a summer of simulated warming and sublethal ammonia. Transactions of the American Fisheries Society, 128, 758–763.2.0.CO;2>CrossRefGoogle Scholar
Luckenbach, T., Kilian, M., Triebskorn, R. & Oberemm, A. (2001). Fish early life stage tests as a tool to assess embryotoxic potentials in small streams. Journal of Aquatic Ecosystem Stress and Recovery, 8, 355–370.CrossRefGoogle Scholar
Magaud, H., Migeon, B., Morfin, P., Garric, J. & Vindimian, E. (1997). Modelling fish mortality due to urban storm run-off: interacting effects of hypoxia and un-ionized ammonia. Water Research, 31, 211–218.CrossRefGoogle Scholar
Mann, R. M., Hyne, R. V., Choung, C. B. & Wilson, S. P. (2009). Amphibians and agricultural chemicals: review of the risks in a complex environment. Environmental Pollution, 157, 2903–2927.CrossRefGoogle Scholar
Matthaei, C. D., Piggott, J. J. & Townsend, C. R. (2010). Multiple stressors in agricultural streams: interactions among sediment addition, nutrient enrichment and water abstraction. Journal of Applied Ecology, 47, 639–649.CrossRefGoogle Scholar
McCullough, D. A., Bartholow, J. M., Jager, H. I., et al. (2009). Research in thermal biology: burning questions for coldwater stream fishes. Reviews in Fisheries Science, 17, 90–115.CrossRefGoogle Scholar
McKim, J. M. (1977). Evaluation of tests with early life stages of fish for predicting long-term toxicity. Journal of the Fisheries Research Board of Canada, 34, 1148–1154.CrossRefGoogle Scholar
McLeod, E., Anthony, K. R. N., Andersson, A., et al. (2013). Preparing to manage coral reefs for ocean acidification: lessons from coral bleaching. Frontiers in Ecology and the Environment, 11, 20–27.CrossRefGoogle Scholar
Minns, C. K. (2013). The science of ecosystem-based management on a global scale: the Laurentian Great Lakes, Lake Ontario, and the Bay of Quinte as a nested case study. Aquatic Ecosystem Health and Management, 16, 229–239.CrossRefGoogle Scholar
Moran, R., Harvey, I., Moss, B., et al. (2010). Influence of simulated climate change and eutrophication on three-spined stickleback populations: a large scale mesocosm experiment. Freshwater Biology, 55(2), 315–325.CrossRefGoogle Scholar
Morgan, I. J., D'Cruz, L. M., Dockray, J. J., et al. (1998). The effects of elevated winter temperature and sub-lethal pollutants (low pH, elevated ammonia) on protein turnover in the gill and liver of rainbow trout (Oncorhynchus mykiss). Fish Physiology and Biochemistry, 19, 377–389.CrossRefGoogle Scholar
Morgan, I. J., McDonald, D. G. & Wood, C. M. (2001). The cost of living for freshwater fish in a warmer, more polluted world. Global Change Biology, 7, 345–355.CrossRefGoogle Scholar
Nakagawa, S. & Cuthill, I. C. (2007). Effect size, confidence interval and statistical significance: a practical guide for biologists. Biological Reviews, 82, 591–605.CrossRefGoogle ScholarPubMed
Olden, J. D., Poff, N. L. & Bestgen, K. R. (2008). Trait synergisms and the rarity, extirpation, and extinction risk of desert fishes. Ecology, 89, 847–856.CrossRefGoogle ScholarPubMed
Olden, J. D., Kennard, M. J., Leprieur, F., et al. (2010). Conservation biogeography of freshwater fishes: recent progress and future challenges. Diversity and Distributions, 16, 496–513.CrossRefGoogle Scholar
Ormerod, S., Dobson, M., Hildrew, A. & Townsend, C. (2010). Multiple stressors in freshwater ecosystems. Freshwater Biology, 55(S1), 1–4.CrossRefGoogle Scholar
Paine, R. T., Tegner, M. J. & Johnson, E. A. (1998). Compounded perturbations yield ecological surprises. Ecosystems, 1, 535–545.CrossRefGoogle Scholar
Palikova, M., Krejci, R., Hilscherova, K., et al. (2007). Effects of different oxygen saturation on activity of complex biomass and aqueous crude extract of cyanobacteria during embryonal development in carp (Cyprinus carpio L.). Acta Veterinaria Brno, 76, 291–299.CrossRefGoogle Scholar
Palmer, M. A., Menninger, H. L. & Bernhardt, E. (2010). River restoration, habitat heterogeneity and biodiversity: a failure of theory or practice?Freshwater Biology, 55(S1), 205–222.CrossRefGoogle Scholar
Park, R. A., Clough, J. S. & Wellman, M. C. (2008). AQUATOX: modeling environmental fate and ecological effects in aquatic ecosystems. Ecological Modelling, 213, 1–15.CrossRefGoogle Scholar
Person-Le Ruyet, J., Labbe, L., Le Bayon, N., et al. (2008). Combined effects of water quality and stocking density on welfare and growth of rainbow trout (Oncorhynchus mykiss). Aquatic Living Resources, 21, 185–195.CrossRefGoogle Scholar
Peuranen, S., Keinanen, M., Tigerstedt, C. & Vuorinen, P. J. (2003). Effects of temperature on the recovery of juvenile grayling (Thymallus thymallus) from exposure to Al+Fe. Aquatic Toxicology, 65, 73–84.CrossRefGoogle ScholarPubMed
Piggott, J. J., Lange, K., Townsend, C. R. & Matthaei, C. D. (2012). Multiple stressors in agricultural streams: a mesocosm study of interactions among raised water temperature, sediment addition and nutrient enrichment. PLoS ONE, 7, e49873.CrossRefGoogle ScholarPubMed
Pikitch, E. K., Santora, C., Babcock, E. A., et al. (2004). Ecosystem-based fishery management. Science, 305, 346–347.CrossRefGoogle ScholarPubMed
Pilati, A., Vanni, M. J., Gonzalez, M. J. & Gaulke, A. K. (2009). Effects of agricultural subsidies of nutrients and detritus on fish and plankton of shallow-reservoir ecosystems. Ecological Applications, 19, 942–960.CrossRefGoogle ScholarPubMed
Pinheiro, J., Bates, D., DebRoy, S. & Sarkar, D. (2014). nlme: Linear and Non-linear Mixed-effects Models. Vienna.Google Scholar
Poff, N. L., Allan, J. D, Bain, M. B., et al. (1997). The natural flow regime. Bioscience, 47, 769–784.CrossRefGoogle Scholar
Potts, S. G., Biesmeijer, J. C., Kremen, C., et al. (2010). Global pollinator declines: trends, impacts and drivers. Trends in Ecology and Evolution, 25, 345–353.CrossRefGoogle ScholarPubMed
Power, M. (1997). Assessing the effects of environmental stressors on fish populations. Aquatic Toxicology, 39, 151–169.CrossRefGoogle Scholar
Priddis, E., Rader, R., Belk, M., Schaalje, B. & Merkley, S. (2009). Can separation along the temperature niche axis promote coexistence between native and invasive species?Diversity and Distributions, 15, 682–691.CrossRefGoogle Scholar
Qiang, J., Xu, P., Wang, H., Li, R. & Wang, H. (2012). Combined effect of temperature, salinity and density on the growth and feed utilization of Nile tilapia juveniles (Oreochromis niloticus). Aquaculture Research, 43, 1344–1356.Google Scholar
Quinn, G. P. & Keough, M. J. (2002). Experimental Design and Data Analysis for Biologists. New York, NT: Cambridge University Press.CrossRefGoogle Scholar
R Development Core Team. (2013). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.
Reese, C. D. & Harvey, B. C. (2002). Temperature-dependent interactions between juvenile steelhead and Sacramento pikeminnow in laboratory streams. Transactions of the American Fisheries Society, 131, 599–606.2.0.CO;2>CrossRefGoogle Scholar
Richardson, J., Williams, E. K. & Hickey, C. W. (2001). Avoidance behaviour of freshwater fish and shrimp exposed to ammonia and low dissolved oxygen separately and in combination. New Zealand Journal of Marine and Freshwater Research, 35, 625–633.CrossRefGoogle Scholar
Roger, F., Godhe, A. & Gamfeldt, L. (2012). Genetic diversity and ecosystem functioning in the face of multiple stressors. PLoS ONE, 7, e45007.CrossRefGoogle ScholarPubMed
Rutherford, J. C., Marsh, N. A., Davies, P. M. & Bunn, S. E. (2004). Effects of patchy shade on stream water temperature: how quickly do small streams heat and cool?Marine and Freshwater Research, 55, 737–748.CrossRefGoogle Scholar
Salazar-Lugo, R., Estrella, A., Oliveros, A., et al. (2009). Paraquat and temperature affect nonspecific immune response of Colossoma macropomum. Environmental Toxicology and Pharmacology, 27, 321–326.CrossRefGoogle ScholarPubMed
Salbu, B., Denbeigh, J., Smith, R. W., et al. (2008). Environmentally relevant mixed exposures to radiation and heavy metals induce measurable stress responses in Atlantic salmon. Environmental Science & Technology, 42, 3441–3446.CrossRefGoogle ScholarPubMed
Serafy, J. E. & Harrell, R. M. (1993). Behavioral-response of fishes to increasing pH and dissolved-oxygen – field and laboratory observations. Freshwater Biology, 30, 53–61.CrossRefGoogle Scholar
Shrimpton, J. M., Zydlewski, J. D. & Heath, J. W. (2007). Effect of daily oscillation in temperature and increased suspended sediment on growth and smolting in juvenile chinook salmon, Oncorhynchus tshawytscha. Aquaculture, 273, 269–276.CrossRefGoogle Scholar
Skov, P. V., Larsen, B. K., Frisk, M. & Jokumsen, A. (2011). Effects of rearing density and water current on the respiratory physiology and haematology in rainbow trout, Oncorhynchus mykiss at high temperature. Aquaculture, 319, 446–452.CrossRefGoogle Scholar
Sodhi, N. S., Bickford, D., Diesmos, A. C., et al. (2008). Measuring the meltdown: drivers of global amphibian extinction and decline. PLoS ONE, 3, e1636.CrossRefGoogle ScholarPubMed
Stalnaker, C. B., Lamb, B. L., Henriksen, J., Boveee, K. & Bartholow, J. (1995). The Instream Flow Incremental Methodology: A Primer for IFIM. Washington, DC:USGS.Google Scholar
Stasko, A. D., Gunn, J. M. & Johnston, T. A. (2012). Role of ambient light in structuring north-temperate fish communities: potential effects of increasing dissolved organic carbon concentration with a changing climate. Environmental Reviews, 20, 173–190.CrossRefGoogle Scholar
Statzner, B. & Bêche, L. A. (2010). Can biological invertebrate traits resolve effects of multiple stressors on running water ecosystems?Freshwater Biology, 55, 80–119.CrossRefGoogle Scholar
Stoll, S., Sundermann, A., Lorenz, A. W., Kail, J. & Haase, P. (2013). Small and impoverished regional species pools constrain colonisation of restored river reaches by fishes. Freshwater Biology, 58, 664–674.CrossRefGoogle Scholar
Suomalainen, L. R., Tiirola, M. A. & Valtonen, E. T. (2005). Influence of rearing conditions on Flavobacterium columnare infection of rainbow trout, Oncorhynchus mykiss (Walbaum). Journal of Fish Diseases, 28, 271–277.CrossRefGoogle ScholarPubMed
Swanson, S. M. (2004). Multiple Stressors: Literature Review and Gap Analysis (Water Environment Research Foundation Report 00-ECO-2B). London: International Water Association Publishing.Google Scholar
Townsend, C. R., Uhlmann, S. S. & Matthaei, C. D. (2008). Individual and combined responses of stream ecosystems to multiple stressors. Journal of Applied Ecology, 45, 1810–1819.CrossRefGoogle Scholar
Valenti, T. W., Perez-Hurtado, P., Chambliss, C. K. & Brooks, B. W. (2009). Aquatic toxicity of sertraline to Pimephales promelas at environmentally relevant surface water pH. Environmental Toxicology and Chemistry, 28, 2685–2694.CrossRefGoogle ScholarPubMed
Valenti, T. W., James, S. V., Lahousse, M. J., et al. (2010). A mechanistic explanation for pH-dependent ambient aquatic toxicity of Prymnesium parvum carter. Toxicon, 55, 990–998.CrossRefGoogle ScholarPubMed
Van der Oost, R., Beyer, J. & Vermeulen, N. P. (2003). Fish bioaccumulation and biomarkers in environmental risk assessment: a review. Environmental Toxicology and Pharmacology, 13, 57–149.CrossRefGoogle ScholarPubMed
Vanhoudt, N., Vandenhove, H., Real, A., Bradshaw, C. & Stark, K. (2012). A review of multiple stressor studies that include ionising radiation. Environmental Pollution, 168, 177–192.CrossRefGoogle ScholarPubMed
Vera Cartas, J., Pucheu, K. & Torres Beristain, B. (2013). Contributions towards an ecosystem based management of Lake Titicaca. Aquatic Ecosystem Health & Management, 16, 240–247.CrossRefGoogle Scholar
Verberk, W. C. E. P., van Noordwijk, C. G. E. & Hildrew, A. G. (2013). Delivering on a promise: integrating species traits to transform descriptive community ecology into a predictive science. Freshwater Science, 32, 531–547.CrossRefGoogle Scholar
Vinebrooke, R. D., Cottingham, K. L., Norberg, J., et al. (2004). Impacts of multiple stressors on biodiversity and ecosystem functioning: the role of species co-tolerance. Oikos, 104, 451–457.CrossRefGoogle Scholar
Von Westernhagen, H. (1988). Four sublethal effects of pollutants on fish eggs and larvae. In Fish Physiology. London: Academic Press, pp. 253–346.Google Scholar
Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., et al. (2010). Global threats to human water security and river biodiversity. Nature, 467, 555–561.CrossRefGoogle ScholarPubMed
Wagenhoff, A., Lange, K., Townsend, C. R. & Matthaei, C. D. (2013). Patterns of benthic algae and cyanobacteria along twin-stressor gradients of nutrients and fine sediment: a stream mesocosm experiment. Freshwater Biology, 58, 1849–1863.CrossRefGoogle Scholar
Wagenhoff, A., Townsend, C. R. & Matthaei, C. D. (2012). Macroinvertebrate responses along broad stressor gradients of deposited fine sediment and dissolved nutrients: a stream mesocosm experiment. Journal of Applied Ecology, 49, 892–902.CrossRefGoogle Scholar
Wagner, E. J., Bosakowski, T. & Intelmann, S. (1997). Combined effects of temperature and high pH on mortality and the stress response of rainbow trout after stocking. Transactions of the American Fisheries Society, 126, 985–998.2.3.CO;2>CrossRefGoogle Scholar
Walsh, C. J., Fletcher, T. D. & Ladson, A. R. (2005). The urban stream syndrome: current knowledge and the search for a cure. Journal of the North American Benthological Society, 24, 706–723.CrossRefGoogle Scholar
Waters, T. F. (1995). Sediment in Streams: Sources, Biological Effects, and Control.Bethesda, MD: American Fisheries Society.Google Scholar
Wenger, S. J., Roy, A. H., Jackson, C. R., et al. (2009). Twenty-six key research questions in urban stream ecology: an assessment of the state of the science. Journal of the North American Benthological Society, 28, 1080–1098.CrossRefGoogle Scholar
Wood, P. J. & Armitage, P. D. (1997). Biological effects of fine sediment in the lotic environment. Environmental Management, 21, 203–217.CrossRefGoogle ScholarPubMed
Woodward, G., Perkins, D. M. & Brown, L. E. (2010). Climate change and freshwater ecosystems: impacts across multiple levels of organization. Philosophical Transactions of the Royal Society B: Biological Sciences, 365, 2093–2106.CrossRefGoogle ScholarPubMed
Yen, J. D. L., Bond, N. R., Shenton, W., Spring, D. A. & Mac Nally, R. (2013). Identifying effective water-management strategies in variable climates using population dynamics models. Journal of Applied Ecology, 50, 691–701.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×