Modelling the impact of waste on a stable fish population

Wallis, IG

doi:10.1016/0043-1354(75)90096-2

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Figure 9 shows a fitted concentrationresponse function for bluegill exposed to cadmium. [16] proposed the use of fisheries-derived population models for quantifying the effects of contaminants on populations, although experimental or observational data on model applicability were not provided. No other data sets were available that satisfied our exclusion criteria for all life stages.…”

Section: Comparison Of Extrapolated Concentrution-response Functions mentioning

confidence: 99%

Estimating Responses of Fish Populations to Toxic Contaminants

Barnthouse

Suter

Rosen

et al. 1987

Environ Toxicol Chem

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In assessments of risks of toxic contaminants to fish populations, the endpoints of ultimate interest are the persistence, abundance, and production of populations. In this article we demonstrate a method for expressing toxicity test data obtained from full‐life‐cycle tests in terms of the same indices used to assess effects of harvesting and power‐plant cooling systems on fish populations. Our approach involves fitting the logistic concentration‐response function to chronic test data and coupling the functions obtained to a fish life‐cycle model. Confidence bands derived from the data quantify uncertainties inherent in predicting population‐level effects from (1) full‐life‐cycle test data for the species of interest, (2) extrapolation of a concentration‐response function from an acute LC50 for the species of interest, and (3) extrapolation from an acute LC50 for another species. Using rainbow trout and largemouth bass as representative species, we evaluate the relative importances of three sources of uncertainty contributing to prediction intervals for populationlevel effects. We also compare population‐level concentration‐response functions to predicted and experimentally derived maximum acceptable toxicant concentrations for five toxic chemicals.

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Section: Comparison Of Extrapolated Concentrution-response Functions mentioning

confidence: 99%

Estimating Responses of Fish Populations to Toxic Contaminants

Barnthouse

Suter

Rosen

et al. 1987

Environ Toxicol Chem

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“…Although no firm conclusions are possible from the limited number of comparisons presented here, the consistent pattern displayed suggests that it is inappropriate to interpret the MATC, either calculated or extrapolated, as a chronic-effects threshold for fish. [16] proposed the use of fisheries-derived population models for quantifying the effects of contaminants on populations, although experimental or observational data on model applicability were not provided. We do not propose that the methods described in this report can be used to directly predict the long-term responses of fish populations to toxic contaminants.…”

Section: Comparison Of Extrapolated Concentrution-response Functions mentioning

confidence: 99%

Estimating responses of fish populations to toxic contaminants

Barnthouse¹,

Suter²,

Rosen³

et al. 1987

Enviro Toxic and Chemistry

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In assessments of risks of toxic contaminants to fish populations, the endpoints of ultimate interest are the persistence, abundance, and production of populations. In this article we demonstrate a method for expressing toxicity test data obtained from full-life-cycle tests in terms of the same indices used to assess effects of harvesting and power-plant cooling systems on fish populations. Our approach involves fitting the logistic concentration-response function to chronic test data and coupling the functions obtained to a fish life-cycle model. Confidence bands derived from the data quantify uncertainties inherent in predicting population-level effects from (1) full-life-cycle test data for the species of interest, (2) extrapolation of a concentration-response function from an acute LC50 for the species of interest, and (3) extrapolation from an acute LC50 for another species. Using rainbow trout and largemouth bass as representative species, we evaluate the relative importances of three sources of uncertainty contributing to prediction intervals for populationlevel effects. We also compare population-level concentration-response functions to predicted and experimentally derived maximum acceptable toxicant concentrations for five toxic chemicals.

show abstract