Evaluation of variance approximation techniques for non-linear photosynthesis-irradiance models

Parameters derived from photosynthesis-irradiance (P-I) models, although often empirical in nature, are useful indicators of the photoadaptive state of phytoplankton in culture and in situ. However, objective criteria for determining significant changes in P-I curves are rarely provided, because con...

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Bibliographic Details
Published in:Marine biology 1987-07, Vol.95 (2), p.209-215
Main Authors: ZIMMERMAN, R. C, BEELER SOOHOO, J, KREMER, J. N, D'ARGENIO, D. Z
Format: Article
Language:English
Subjects:
Animal and plant ecology
Animal, plant and microbial ecology
Autoecology
Biological and medical sciences
Fundamental and applied biological sciences. Psychology
Marine
Plants and fungi
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Summary:Parameters derived from photosynthesis-irradiance (P-I) models, although often empirical in nature, are useful indicators of the photoadaptive state of phytoplankton in culture and in situ. However, objective criteria for determining significant changes in P-I curves are rarely provided, because confidence intervals for parameters of non-linear models are not estimated easily. Examination of least-squares residuals in parameter space and Monte Carlo approaches have been used to estimate confidence regions around parameter values, but the computationally intensive nature of these methods has prevented their routine application. The authors present an alternative method of estimating confidence intervals for parameters of P-I curves that runs quickly on a microcomputer and is easily combined with common parameter-estimation routines.
ISSN:0025-3162
1432-1793
DOI:10.1007/BF00409007