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The Statistical Analysis of Ecophysiological Response Curves Obtained from Experiments Involving Repeated Measures by Catherine Potvin; Martin J. Lechowicz; Serge Tardif is a Environmental Science article available to read on EtoBox.

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Physiological ecologists often analyze the responses of physiological or biochemical traits to environmental factors such as temperature, irradiance, water potential, or the concentrations of CO2, 0, and inorganic nutrients. The data for such a response curve typically are gathered by sequential sampling of the same plant or animal, and their analysis should explicitly allow for this repeated-measures design. Unfortunately, the statistical analysis of response curves in ecology generally has either been ignored or incorrectly done.In an effort to encourage rigorous analysis of response data, we address statistical treatment of response curves and illustrate the correct alternatives that are available. Four different statistical methods for analyzing response curves are considered: analysis of variance with repeated measures (ANOVAR), multivariate analysis of variance with repeated measures (MANOVAR), a nonparametric split-plot analysis (NP split-plot) and parametric comparison of models fitted to the data by nonlinear regression. Analyses of the CO2 dependence of photosynthesis in the C4 grass Echinochloa crus-galli following chilling are used as examples of these different methods

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Author

Catherine Potvin; Martin J. Lechowicz; Serge Tardif

Publisher

Wiley

Published

1990

Language

EN

Field

Environmental Science (Physical Sciences)