Step-up multiple regression model to compute Chlorophyll a in the coastal waters off Cochin, southwest coast of India |
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Authors: | K K Balachandran K V Jayalakshmy C M Laluraj Maheswari Nair Thresiamma Joseph P Sheeba |
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Institution: | (1) National Institute of Oceanography, Regional Centre, P.O. Box 1913, Cochin, India;(2) National Centre for Antarctic and Ocean Research, Goa, India |
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Abstract: | The interaction effects of abiotic processes in the production of phytoplankton in a coastal marine region off Cochin are
evaluated using multiple regression models. The study shows that chlorophyll production is not limited by nutrients, but their
physiological regulations (responses to nutrients, pH, temperature and salinity) are mainly responsible for the increased
biological production. The model explaining 77% of variability for chlorophyll a production is indicative of preconditioning of the coastal waters. The phytoplankton production is found to be sensitive
to the environment, which varies seasonally. Further, the study suggests that supply of organic matter and grazing of zooplankton
(not included) would improve the model efficiency. Despite this, the good agreement in the computed and measured chlorophyll
a values shows that step-up multiple regression model is a useful tool to understand the influence of environmental variables
on the production of phytoplankton in these coastal waters. |
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Keywords: | Multiple regression analysis Chlorophyll a Phytoplankton Nutrient interactions Cochin backwaters Southwest coast of India |
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