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 | ||||||||