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Shovonlal Roy

Dr Shovonlal Roy

Dr Shovonlal Roy

Research Fellow

Interests and expertise (Subject groups)

Grants awarded

Remote-sensing based mathematical modelling on spectral regulation of mixed-layer and plankton bloom

Scheme: Newton International Fellowships

Organisation: University of Oxford

Dates: Jan 2011-Jan 2013

Value: £104,000

Summary: I am an ecological modeller: my research topics are related to general ecosystems, marine ecosystems as well as other biological systems. By combining empirical data with theoretical models my research aims to provide better understanding of how the ecosystems function under various scenarios in a changing environment and how the ecosystems stability and species diversity are maintained over ecological time scales. Presently, I am developing mathematical models that couples biological and physical properties of the marine system to understand how light absorption properties of different species of phytoplankton contribute to oceanic primary productivity, formation phytoplankton blooms and also towards regulation of biologically-mediated carbon cycle in the changing oceans. The sea is an important economic resource for the globe, and remote sensing is an important way to monitor marine ecosystems. The uncertain effects of global warming, the pressures due to economic exploitation, and the importance of sustainable exploitation in the long term, make it crucial to be able to monitor the state of marine ecosystems. In this regard, remote sensing-based studies are very important. My current research aims to extract useful information related marine ecosystem from satellite data on a global scale. The study will be extremely useful for oceanographic and climate research. Strengthening these areas in important for successfully tackling pressing issues such as ocean carbon uptake, acidification, and quantifying the effectiveness and consequences of proposed geo-engineering schemes. The study will provide advantages to marine scientists by providing better models and a wider array of data products for the modelling of marine ecosystem. It will open scope for close interaction and collaboration among researchers in marine biogeochemistry, marine biology, ecosystem modelling, and physical oceanography to address problems in fisheries and marine conservation.

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