Harmful algal blooms - mathematical and stochastic modelling

Pattern Formation, Spatiotemporal Chaos, and ... AICME II abstracts. Harmful algal blooms - mathematical and stochastic modelling supported by experimental.
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AICME II abstracts

Pattern Formation, Spatiotemporal Chaos, and ...

Pattern Formation, Spatiotemporal Chaos, and ...

Harmful algal blooms - mathematical and stochastic modelling supported by experimental findings J. Chattopadhayay1 . Plankton is the basis of all aquatic food chain. Phytoplankton, in particular, occupies the first trophic level. Plankton do huge services for our earth, food for marine life, oxygen for human life and also absorbs half of the carbon - di - oxide from the earth atmosphere. The dynamics of rapid (or massive) increase or decrease of plankton populations is an important subject in marine plankton ecology and generally termed as ’bloom’. Harmful algal blooms (HABs) have adverse effects on human health, fishery, tourism, and environment. In recent years considerable scientific attention has been paid on HABs. In this talk a general mathematical model will be proposed to describe HABs. The effect of time delay and environmental fluctuations will be discussed. The analytical findings will be verified through our experimental observations which was carried on the eastern part of Bay of Bengal for the last three years.

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Embryology Research Unit, Indian Statistical Institute, 203, B.T. Road, Kolkata 700 108, India (e-mail: [email protected]).

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AICME II abstracts