Open Access Digital Repository of Ministry of Earth Sciences, Government of India

Step-up multiple regression model to compute chlorophyll a in the coastal waters off Cochin, southwest coast of India

Balachandran, KK and Jayalakshmy, KV and Laluraj, CM and Nair, M and Joseph, T and Sheeba, P (2008) Step-up multiple regression model to compute chlorophyll a in the coastal waters off Cochin, southwest coast of India. Environmental Monitoring and Assessment, 139 (1-3). pp. 217-226.

Full text not available from this repository. (Request a copy)

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.

Item Type: Article
Additional Information: Copyright of this article belongs to Springer.
Subjects: Environment Pollution
Oceanography > air-sea interactions
Oceanography > oceanography
Depositing User: NCAOR Library
Date Deposited: 11 Jun 2014 09:45
Last Modified: 11 Jun 2014 09:45
URI: http://moeseprints.incois.gov.in/id/eprint/581

Actions (login required)

View Item View Item