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Ecobiogeography of the estuarine and coastal waters of the southwest coast of India

  Project Leader:
Parameswaran, P.S.

Objectives:

  • Development of a comprehensive map of the Vembanad Lake including bathymetry and land-use pattern.
  • Long-term monitoring of physical, chemical, microbial and biological parameters from selected stations in the Vembanad Lake and adjacent near shore region.
  • Quantification of coastal inputs (catchments, rivers, point and non-point sources, seepage etc.) and export from the lake.
  • Characterization of estuarine processes such as,
    • Physical  : Tidal propagation, circulation, dispersion, mixing and flushing.
    • Chemical:  Distribution and kinetics of nutrients and C
    • Bacteria  :  Ecology, diversity, community structure and growth dynamics.
    • Plankton :  Ecology, diversity and growth dynamics of pico, nano and phytoplankton; micro and meso-zooplankton.
    • Benthos  :  Ecology and population structure of benthic organisms.
  • Identify the processes (physical and chemical) responsible for the organic production and its transfer to higher trophic levels.
  • Development of a water quality model for the Vembanad Lake.
  • Estimation of environmental coefficients to develop the ecosystem model (field and laboratory experiments).
  • Development of an ecosystem model for the Vembanad Lake.

General description: 

The Vembanad Lake (also known as the Cochin backwaters), which constitute the second largest wetlands in India, is one of the most productive ecosystems. It also sustains a large variety of fishery and is a cradle for many economically important migratory species. The evolutionary history of this region shows that Vembanad Lake plays an important role in the ecology and economy of the southwest coast of India. The remote forcing of the lake, influencing the formation of mud banks and other coastal processes invite scientific curiosity in characterizing the behavior of the lake with respect to physical and chemical properties and, the associated biological productivity.

The Vembanad Lake is presently undergoing severe environmental degradation due to increased human intervention. Recognizing the socio-economic importance of this water body, it has recently been scheduled under “vulnerable wetlands to be protected” (Ramsar site no.1214). The anthropogenic influence in the Cochin backwaters increased in the second half of 19th century and remains high to the present day. The construction of salinity barriers in the upstream of the estuary to support agricultural activities during 1970’s further deteriorated the situation, resulting in diminished flushing and increased sedimentation. Likewise, issues related to the health of the estuary and its capacity to withstand such interventions have become prominent.

The complex nature and flow restrictions favoring the accumulation of pollutants has transformed this estuary into a eutrophic ecosystem. The pressures are deemed inevitable with growth initiated in the harbour and associated mega city development in the immediate future. In view of the projected population stress (0.6 Million in 1975 to 3 Million in 2002 and an expected 5 Million population by 2025), adequate conservation plans need to be made to minimize the inevitable deterioration, consequent to developmental activities. Restoration of this estuary requires detailed knowledge of its circulation, which can be achieved through the application of numerical models. Once developed, the model can be applied to solve many of the environmental issues faced by this estuarine system due to anthropogenic activities (industries, reclamation, hydraulic barriers etc.) and formulate an environmental management plan for the future projections. The development of ecosystem model requires a clear understanding of the interactions between abiotic and biotic parameters, feeding behavior of organisms and species succession. With these objectives, a study involving the Vembanad Lake and the adjacent coastal marine area is proposed to develop an  Ecosystem Model for theVembanad Lake which is very relevant to the mission of NIO.

Work Plan:

a) Approach:

  1. Long-term environmental data collection (physical, chemical, microbial and biological) from the selected locations in the Vembanad Lake on a monthly basis and from  adjacent near shore region on a seasonal basis.
  2. Preparation of a digitized map of the study region including bathymetry
  3. Development of a hydrodynamic model for the Vembanad Lake.
  4. Development of a water quality model for the Vembanad Lake.
  5. Development of an ecosystem model for the Vembanad Lake.

b) Work Module:

    • Preparation of digitized map for the study region (Vembanad Lake)
      • Shoreline mapping and bathymetry
      • Sediment texture
      • Estimation of nutrient loading in to the lake from rivers, seepage from   domestic sector, agricultural and aquaculture fields, industries and other anthropogenic activities on an annual basis using terrestrial model.
    • Development of a hydrodynamic model to the Vembanad Lake
      • Time-series measurements of tides, currents, temperature, salinity and suspended materials at selected stations in the lake.
      • Harmonic analysis of tide data to derive constituents
      • Development, calibration and validation of the hydrodynamic model
    • Development of a Water Quality Model
      • Data from the above locations for different chemical (nutrients), microbial (bacteria) and biological (nano and micro plankton) parameters.
      • Development and calibration of a 2D water quality model constituting of four interacting systems: oxygen, nitrogen, phosphorus and carbon
      • Input data for the model,  Dissolved oxygen, Phytoplankton, CBOD, NH4-N, NO3-N, PO4-P, DOP, DON
      • Benthic production and sediment-water interaction (benthic chamber experiments).
      • Carbon biogeochemistry (DIC, DOC, pCO2, POC, SOC).
      • Estimation of different environmental coefficients by experiments in the field and in the laboratory.
    • Development of Ecosystem Model
      • Micro and meso zooplankton – Species diversity, seasonal abundance and distribution
      • Growth/grazing experiments for micro/meso zooplankton
      • Extension of the WQ model by including the standing stock, growth rate,
      • feeding, respiration and mortality rates to predict meso zooplankton abundance (copepod).
      • Develop an ecosystem model predicting the abundance of mesozooplankton (copepod) in the lake

   Team Members:
Jayalakshmy, K.V.
DineshKumar, P.K.
Raveendran, T.V.
Revichandran, C.
Ravindran, J.
Muraleedharan, K.R.
Parvathi, A.
Srinivas, T. N. R.
Madhu, N.V.
Anas, A.
Thottam, T.J.
Haridevi, C.K.
Balachandran, K.K.
Vijayan, P.R.N.
Nair, M.
Thampi, K.E.
Nair, S.K.K.
Sasikumar, K.L.

   
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