Step-up multiple regression model to compute Chlorophyll a in the coastal waters off Cochin, southwest coast of India
DRS at CSIR-National Institute of Oceanography
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Title |
Step-up multiple regression model to compute Chlorophyll a in the coastal waters off Cochin, southwest coast of India
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Creator |
Balachandran, K.K.
Jayalakshmy, K.V. Laluraj, C.M. Nair, M. Joseph, T. Sheeba, P. |
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Subject |
multiple regression model
abiotic processes phytoplankton chlorophyll production |
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Description |
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. Copyright [2008]. It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice by copyright holder that the rights are violated then the item would be withdrawn. |
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Date |
2008-03-28T09:56:49Z
2008-03-28T09:56:49Z 2008 |
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Type |
Journal Article
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Identifier |
Environmental monitoring and assessment, vol.139; 217-226p.
http://drs.nio.org/drs/handle/2264/1045 |
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Language |
en
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Rights |
Copyright [2008] Springer
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Publisher |
Springer-Verlag
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