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L - Cochin University of Science and Technology

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the organic rich environment with high OM. The present study also confinns the<br />

above fact. Joydas (2002) observed the dominance <strong>of</strong> spionids <strong>and</strong> cirratulids in the<br />

low oxygen environments. Ingole et al., (2002) noticed the dominance <strong>of</strong> spionids in<br />

the coastal waters <strong>of</strong> Dabhol, west coast <strong>of</strong> India. Among spionids, Prinospio pinnata<br />

was the most abundant species. The abundance <strong>of</strong> spionids in the deeper depths<br />

showed that these organisms have a low metabolic rate <strong>and</strong> can withst<strong>and</strong> adverse<br />

conditions. The decrease in temperature with increase in depth supports the above<br />

statement.<br />

7.5. Multiple regression analysis<br />

Step up predictive multiple regression model for biomass <strong>and</strong> density <strong>of</strong><br />

polychaetes, crustaceans, molluscs, miscellaneous groups <strong>and</strong> total benthos from the<br />

environmental factors during post-monsoon <strong>and</strong> pre-monsoon season was carried<br />

out.<br />

A total <strong>of</strong> 8 parameters were measured among which a set <strong>of</strong> highly<br />

correlated 6 factors were selected during post-m on soon <strong>and</strong> pre-monsoon season as<br />

the input variables along with their first order interaction effects. This model selects<br />

the one, which could explain the maximum variability from a set <strong>of</strong> 64 models for<br />

each <strong>of</strong> the three transfonnations viz,<br />

1. original values <strong>of</strong> densitylbiomass on original values <strong>of</strong> the input<br />

factors<br />

2. original values <strong>of</strong> density/biomass on log 10 <strong>of</strong> input factors<br />

3. log 10 <strong>of</strong> density/biomass on log 10 <strong>of</strong> input factors<br />

In each case, the factors were st<strong>and</strong>ardized to st<strong>and</strong>ard nonnal variables as<br />

y-y x-x<br />

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