Summary of Abstract Submission

Abstract Submission No. IO50-09-0017PresentationPoster

DEVELOPMENT OF A MODEL FOR THE ESTIMATION OF ZOOPLANKTON BIOMASS USING REMOTE SENSING

Priyaja P*1, N Ramaiah2, V Fernandes 2

1 Centre for Marine Living Resources and Ecology, Kochi, Kerala, India
2 National Institute of Oceanography, Dona Paula, Goa, India

ABSTRACT :

A model to estimate zooplankton biomass has been developed using satellite-derived particulate organic carbon (POC) which is linked with bacterial abundance. This is an innovative approach that uses microbial link to estimate zooplankton. To find the relationship between particulate organic carbon and bacterial abundance, US-JGOFS 1995 cruises in situ data was used. Data for four different seasons from Northwestern Arabian Sea was processed and graphs were plotted to show the relationship. Bacterial abundance was found to be highly correlated with POC and a correlation with an r2 value of 0.75 was obtained. The bacteria data from Indian ships were used to establish the relation between bacterial abundance and satellite-derived POC. Second order polynomial fit yielded r2 value of 0.83. This enabled the use of POC which is available from satellite data as a substitute to bacteria. Satellite-derived POC was plotted against zooplankton biomass and best fit was obtained with the Gaussian distribution, with an r2 value of 0.79. The model was validated with exclusive match up points using insitu data collected onboard FORV Sagar Sampada during January-March 20092013 cruises and subsequently implemented on SeaWIffs data in the Arabian Sea waters. Since POC is used as an independent variable to estimate zoplankton, which is linked with bacteria, it is believed that the model is sensitive to carnivorous zooplankton.