TOWARDS THE CALIBRATION OF AN ENVIRONMENTAL BIORECORDER

Salma  Begum

doi:10.53808/KUS.SI.SESB.2010.149-158-ls

Authors

Salma Begum Environmental Science Discipline, Khulna University, Khulna 9208, Bangladesh

DOI:

https://doi.org/10.53808/KUS.SI.SESB.2010.149-158-ls

Keywords:

Respiration, bivalve, bio-recorder, A.islandica, environment

Abstract

Bivalve molluscs fulfil the prerequisites of environmental archives because they grow by periodic accretion. Owing to its extremely long life span and wide distribution on the continental shelves on both sides of the North Atlantic Ocean, the bivalve, Arctica islandica is a prospective model organism for studies of climate change effects in Northern boreal marine systems. Shells of A. islandica provide a calcareous archive of lifetime growth history and of the environmental conditions an individual animal experienced over lifetime. For the understanding of the Arctica shell archive sound knowledge of species ecology and ecophysiology is needed. Aerobic metabolic rate in bivalves changes with temperature and salinity and presumably impacts animals life history and performance. the present study compared lifetime respiration rates of five Arctica populations with different temperature and salinity background to understand the effect of both environmental forcing factors on animal growth and metabolic performance. The study built a model which, on the one hand, calibrated and evaluated the metabolic basis of shell growth and on the other hand, allow to model individual lifetime energy budgets as well as to calculate population energy budgets. This would be one way to couple individual life history and population dynamics to large-scale oceanographic models. Samples were collected from five sites, Norwegian Sea, Kattegat, White Sea, North Sea and Baltic Sea, covering a natural temperature and salinity gradient of 4-10°C and 25-34, respectively. Respiration rates are measured at ambient temperature and salinity as well as 5°C above ambient temperature using a multi channel intermittent flow-system equipped with oxygen microoptodes. Multiple linear regression is used to analyze the relation between respiration rate, temperature, salinity, body mass and individual age. This study was a first approach to model respiration of all 5 populations and showed mass specific metabolic activity of A. islandica is significantly higher in higher temperature.

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