Multiple stressors and stream macroinvertebrate community dynamics: Interactions between fine sediment grain size and flow velocity

Blöcher, Johanna Ruth; Ward, Matthew R.; Matthaei, Christoph D.; Piggott, Jeremy J.

doi:10.1016/j.scitotenv.2020.137070

Cited by 29 publications

(25 citation statements)

References 35 publications

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“…Others may allow abiotic conditions to vary with changing flow or might deliberately manipulate multiple abiotic parameters alongside flow to examine interactive effects. This includes Blöcher et al (2020), who manipulated flow velocities and fine sediment concentrations, but did not alter physico-chemical properties.…”

Section: Tables 1721mentioning

confidence: 99%

“…Controlling the influence of extraneous factors Ledger, 2015). Some authors have advocated controlled experiments that can optimise the realism of stream mesocosms, including larger, once-through outdoor channels which are proximal to and fed by the source stream (allowing colonisation via aquatic and aerial dispersal mechanisms; Blöcher et al, 2020;Ledger et al, 2009;Piggott et al, 2015). Others advocate techniques to create more realistic hydraulic and morphological conditions, including riverbed casting techniques (Rice et al, 2010).…”

Section: Large-scale Coverage Versus Replicability and Controlmentioning

confidence: 99%

“…For instance, Ledger et al (2012) closed inlet valves on experimental streams at different frequencies to simulate different ELF conditions, and macroinvertebrates could colonise via aquatic dispersal mechanisms between treatments. Alternatively, Blöcher et al (2020) simulated different flow conditions in mesocosms by altering velocities, and macroinvertebrates could colonise throughout the experiment via drift and adult oviposition. Generally, community composition experiments using fish communities are likely to yield lower degrees of biocomplexity due to limited space available to support natural fish densities and population size structures within experimental enclosures (Petersen & Englund, 2005).…”

Section: Research Paradigms Used To Examine Riverine Faunal Responses...mentioning

confidence: 99%

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Extreme low‐flow effects on riverine fauna: A perspective on methodological assessments

et al. 2022

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River flow regimes face increasing pressure from human activities including water resource management operations and climate change. Consequently, extreme hydrological events are becoming more severe and commonplace, and there is a pressing need to understand and manage their ecological effects. Extreme low-flows (ELFs)those displaying significantly greater magnitudes and durations than typical low-flow conditionsare being increasingly experienced globally. Fish and macroinvertebrate responses to ELFs have been more widely researched relative to other organism groups in riverine environments, although such studies have employed variable methodological techniques. In this perspective piece, we identify field-based assessments and controlled experiments as two key research paradigms used to examine riverine faunal responses to ELFs. Field-based

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Section: Tables 1721mentioning

confidence: 99%

Section: Large-scale Coverage Versus Replicability and Controlmentioning

confidence: 99%

Section: Research Paradigms Used To Examine Riverine Faunal Responses...mentioning

confidence: 99%

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Extreme low‐flow effects on riverine fauna: A perspective on methodological assessments

et al. 2022

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“…However, while there are many well-proven models relating the hydrological response of catchments to the variation of river flows and physical water quality (Hrachowitz et al 2016 ; Wilusz et al 2017 ), modelling the biological responses, e.g., of vegetation, macroinvertebrates, fish, or birds, to changes in flows and water quality is still a major challenge (Hallouin et al 2018 ; Reid et al 2019 ). Although there are large amounts of empirical data and field observations, extracting usable, multi-stressor, numerical model components from these data is difficult and has been done only for a limited number of specific interactions (Hunting et al 2019 ; Blöcher et al 2020 ). Despite this lacuna in multi-stressor biological modelling, informed management requires that some type of model capable of representing the biological response must be developed to simulate the effects of management decisions on ecology and ES.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian Modelling Framework for Integration of Ecosystem Services into Freshwater Resources Management

Bruen

Hallouin

Christie

et al. 2022

Environmental Management

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Models of ecological response to multiple stressors and of the consequences for ecosystem services (ES) delivery are scarce. This paper describes a methodology for constructing a BBN combining catchment and water quality model output, data, and expert knowledge that can support the integration of ES into water resources management. It proposes “small group” workshop methods for elucidating expert knowledge and analyses the areas of agreement and disagreement between experts. The model was developed for four selected ES and for assessing the consequences of management options relating to no-change, riparian management, and decreasing or increasing livestock numbers. Compared with no-change, riparian management and a decrease in livestock numbers improved the ES investigated to varying degrees. Sensitivity analysis of the expert information in the BBN showed the greatest disagreements between experts were mainly for low probability situations and thus had little impact on the results. Conversely, in our applications, the best agreement between experts tended to occur for the higher probability, more likely, situations. This has implications for the practical use of this type of model to support catchment management decisions. The complexity of the relationship between management measures, the water quality and ecological responses and resulting changes in ES must not be a barrier to making decisions in the present time. The interactions of multiple stressors further complicate the situation. However, management decisions typically relate to the overall character of solutions and not their detailed design, which can follow once the nature of the solution has been chosen, for example livestock management or riparian measures or both.

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“…Furthermore, taxa that are vulnerable to damage of filter-feeding apparatus or gills tend to be absent from colmated streambeds (Wood and Armitage 1997;Larsen et al 2009). The proportion of Ephemeroptera, Plecoptera and Trichoptera (EPT) typically declines with increases in suspended and deposited fine sediment (Bjornn et al 1977;Lenat et al 1979), whilst other taxa, such as Oligochaeta, show the opposite pattern (Angradi 1999;Zweig and Rabeni 2001;Gayraud et al 2002). These changes in benthic assemblages are partly due to habitat homogenisation, and reductions in porosity and interstitial habitat (Descloux et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Do legacy effects of deposited fine sediment influence the ecological response of drifting invertebrates to a fine sediment pulse?

et al. 2021

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The deposition of excess fine sediment and clogging of benthic substrates is recognised as a global threat to ecosystem functioning and community dynamics. Legacy effects of previous sedimentation create a habitat template on which subsequent ecological responses occur, and therefore, may have a long-lasting influence on community structure. Our experimental study examined the effects of streambed colmation (representing a legacy effect of fine sediment deposition) and a suspended fine sediment pulse on macroinvertebrate drift and community dynamics. We used 12 outdoor stream mesocosms that were split into two sections of 6.2 m in length (24 mesocosm sections in total). Each mesocosm section contained a coarse bed substrate with clear bed interstices or a fine bed substrate representing a colmated streambed. After 69 days, a fine sediment pulse with three differing fine sediment treatments was applied to the stream mesocosms. Added fine sediment influenced macroinvertebrate movements by lowering benthic density and taxonomic richness and increasing drift density, taxonomic richness, and altering drift assemblages. Our study found the highest dose of sediment addition (an estimated suspended sediment concentration of 1112 mg l−1) caused significant differences in benthic and drift community metrics and drift assemblages compared with the control treatment (30 l of water, no added sediment). Our results indicate a rapid response in drifting macroinvertebrates after stressor application, where ecological impairment varies with the concentration of suspended sediment. Contrary to expectations, bed substrate characteristics had no effect on macroinvertebrate behavioural responses to the fine sediment pulse.

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Multiple stressors and stream macroinvertebrate community dynamics: Interactions between fine sediment grain size and flow velocity

Cited by 29 publications

References 35 publications

Extreme low‐flow effects on riverine fauna: A perspective on methodological assessments

Extreme low‐flow effects on riverine fauna: A perspective on methodological assessments

A Bayesian Modelling Framework for Integration of Ecosystem Services into Freshwater Resources Management

Do legacy effects of deposited fine sediment influence the ecological response of drifting invertebrates to a fine sediment pulse?

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