Table 6.
A simple regression model explains the influence of various prey species on the accumulation of metals in tissues, kidneys, liver and feathers of Indian pond heron, Veeranam Lake, Tamilnadu, India.
Predictor Variables | Tissue-Pond Heron | Kidney-Pond Heron | Liver-Pond Heron | Feathers-Pond Heron | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
B | SE B | β | B | SE B | β | B | SE B | β | B | SE B | β | |
Crab | - | - | - | - | - | - | - | - | - | - | - | - |
Prawn | - | - | - | 0.455 | 0.192 | 0.397 | - | - | - | - | - | - |
C. batrachus | - | - | - | - | - | - | - | - | - | - | - | - |
M. vittatus | - | - | - | - | - | - | - | - | - | - | - | - |
C. carpio | 0.776 | 0.022 | 0.991 | 0.355 | 0.105 | 0.565 | - | - | - | - | - | - |
L. rohita | - | - | - | - | - | - | 0.458 | 0.103 | 0.690 | 0.674 | 0.014 | 0.995 |
T. mossambica | - | - | - | - | - | - | - | - | - | - | - | - |
R | 98.3% | 87.5% | 47.5% | 94.1% | ||||||||
R2 | 98.2% | 86.3% | 47.2% | 93.2% | ||||||||
ANOVA | (1,23), 1262.102, p < 0.000 | (2,23) 73.542, p < 0.000 | (3,23) 19.943, p < 0.000 | (3,23) 2218.307, p < 0.000 |