2000
DOI: 10.1002/etc.5620191218
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Use of nonlinear regression techniques for describing concentration‐response relationships of plant species exposed to contaminated site soils

Abstract: The objectives of this study were to examine the effects of two contaminated site soils on seedling emergence and growth, compare the responses of different endpoints and species sensitivity, and develop appropriate statistical methods for the analysis of concentration‐response curves. Plants were exposed to field‐collected soils contaminated with amines or condensate. We reparameterized three nonlinear models (logistic, logistic with hormesis, and exponential) to determine any inhibiting concentration for a s… Show more

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Cited by 98 publications
(39 citation statements)
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“…Regression analysis also allows for the calculation of effective concentration (EC x ) values and confidence intervals about those estimates. Nonlinear regression protocols have been developed for plants [48] and have been used successfully on microcosm‐derived plant data in conjunction with ANOVA [32,33], a recommended procedure for microcosm data [49]. However, calculation of power of an unreplicated regression design is not possible; hence, the risk of a Type II error is unknown [49].…”
Section: Discussionmentioning
confidence: 99%
“…Regression analysis also allows for the calculation of effective concentration (EC x ) values and confidence intervals about those estimates. Nonlinear regression protocols have been developed for plants [48] and have been used successfully on microcosm‐derived plant data in conjunction with ANOVA [32,33], a recommended procedure for microcosm data [49]. However, calculation of power of an unreplicated regression design is not possible; hence, the risk of a Type II error is unknown [49].…”
Section: Discussionmentioning
confidence: 99%
“…Based on LC 50 values, ecotypes were considered different if their 95% confidence intervals (CI) did not overlap. Nonlinear regression can be legitimately used for estimating LC 50 values if the experimental design includes adequate coverage of the response range for treatments (i.e., different salinity levels) and having more than five treatments that include lethal and sublethal concentrations increases the likelihood of having an accurate regression [20,22]. In this study, we had six salinity levels which would provide a good response range for the regression; however, at 2.0 ppt, ecotypes had better visual quality and produced larger biomass than 0.2 ppt.…”
Section: Methodsmentioning
confidence: 99%
“…After hormesis was evaluated, data were checked for normality, and the homoscedasticity of residuals from the dose‐response curves evaluated. The concentration of ammonium nitrate required to inhibit plant growth endpoints by 20% (IC20) was estimated for each soil by using reparameterized logarithmic dose‐response relationships [17,18].…”
Section: Methodsmentioning
confidence: 99%