Figure 1
Figure 2
Figure 3
Results of the experiments conducted on barbel B_ barbus under two feeding patterns: random and predictable_
| Fish ID | Initial pattern | K1 | K2 | Shelter1 | Shelter2 | Activity1 | Activity2 | Exploratory |
|---|---|---|---|---|---|---|---|---|
| 17413 | random | 1.002 | 0.86719 | 0.00 | 0.30 | 1.00 | 0.70 | 0.00 |
| 17478 | random | 1.0986 | 0.98019 | 0.50 | 1.00 | 0.00 | 0.00 | 0.00 |
| 17473 | random | 0.9674 | 1.05245 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 17454 | random | 0.9714 | 0.7839 | 0.03 | 0.73 | 0.00 | 0.27 | 1.00 |
| 17416 | random | 0.9956 | 0.93184 | 0.00 | 0.82 | 0.00 | 0.18 | 1.00 |
| 17437 | random | 1.0527 | 1.03684 | 1.00 | 0.15 | 0.00 | 0.75 | 1.00 |
| 17410 | random | 1.1965 | 0.98251 | 1.00 | 0.58 | 0.00 | 0.22 | 1.00 |
| 17470 | random | 1.108 | 1.02906 | 0.00 | 0.38 | 0.95 | 0.58 | 0.00 |
| 17461 | random | 0.9619 | 0.90999 | 1.00 | 0.30 | 0.00 | 0.70 | 1.00 |
| 17434 | random | 0.7737 | 0.92027 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 17485 | random | 1.0567 | 0.77982 | 0.10 | 0.45 | 0.90 | 0.55 | 0.00 |
| 17472 | random | 0.8645 | 0.99125 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 17453 | random | 1.0389 | 1.0178 | 0.00 | 0.87 | 0.00 | 0.13 | 1.00 |
| 17486 | random | 1.0169 | 0.87238 | 0.85 | 0.82 | 0.15 | 0.18 | 0.00 |
| 17419 | random | 0.9649 | 1.02874 | 1.00 | 0.97 | 0.00 | 0.03 | 0.00 |
| 17463 | random | 1.0128 | 1.12356 | 1.00 | 0.57 | 0.00 | 0.43 | 1.00 |
| 17475 | random | 0.9087 | 1.01172 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 17443 | random | 0.885 | 1.05266 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 17433 | random | 0.8793 | 1.10712 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 17488 | random | 1.0742 | 0.88778 | 0.00 | 0.53 | 0.90 | 0.47 | 0.00 |
| 17487 | random | 0.7924 | 0.86431 | 0.98 | 0.97 | 0.00 | 0.03 | 0.00 |
| 17411 | random | 0.9878 | 1.0776 | 0.68 | 0.27 | 0.13 | 0.73 | 0.00 |
| 17496 | random | 0.8841 | 0.90666 | 1.00 | 0.52 | 0.00 | 0.20 | 1.00 |
| 17422 | random | 0.9975 | 1.07495 | 0.47 | 1.00 | 0.53 | 0.00 | –1.00 |
| 17495 | random | 0.8148 | 0.67221 | 0.67 | 0.43 | 0.28 | 0.50 | 0.00 |
| 17498 | random | 0.8555 | 1.04309 | 0.88 | 1.00 | 0.07 | 0.00 | –1.00 |
| 30848 | predictable | 0.9645 | 1.09274 | 1.00 | 0.12 | 0.00 | 0.53 | 1.00 |
| 30867 | predictable | 0.8408 | 1.00105 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 30882 | predictable | 1.0617 | 1.06685 | 0.75 | 1.00 | 0.00 | 0.00 | 0.00 |
| 30811 | predictable | 0.9141 | 1.04934 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 30895 | predictable | 1.0389 | 1.11474 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 30886 | predictable | 0.964 | 0.69098 | 0.00 | 0.77 | 0.00 | 0.23 | 1.00 |
| 30849 | predictable | 1.0391 | 0.98105 | 0.95 | 0.93 | 0.03 | 0.00 | 0.00 |
| 30856 | predictable | 1.098 | 1.09345 | 0.85 | 0.00 | 0.05 | 0.92 | 1.00 |
| 30815 | predictable | 0.9044 | 1.10994 | 1.00 | 0.28 | 0.00 | 0.72 | 1.00 |
| 30872 | predictable | 0.8386 | 0.94616 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 30835 | predictable | 0.9525 | 1.02344 | 0.35 | 0.02 | 0.65 | 0.98 | 0.00 |
| 30889 | predictable | 0.928 | 1.10712 | 0.13 | 0.17 | 0.00 | 0.48 | 1.00 |
| 30830 | predictable | 0.9437 | 1.14011 | 0.00 | 0.78 | 1.00 | 0.22 | 0.00 |
| 30875 | predictable | 0.8997 | 1.05007 | 0.60 | 1.00 | 0.40 | 0.00 | –1.00 |
| 30831 | predictable | 0.9178 | 1.04309 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 30884 | predictable | 0.9286 | 1.03424 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 30864 | predictable | 1.0834 | 1.02332 | 1.00 | 0.83 | 0.00 | 0.17 | 1.00 |
| 30839 | predictable | 0.91 | 1.09959 | 0.13 | 1.00 | 0.67 | 0.00 | –1.00 |
| 30809 | predictable | 0.925 | 1.03764 | 0.87 | 1.00 | 0.10 | 0.00 | –1.00 |
| 30804 | predictable | 0.9528 | 1.17407 | 0.30 | 1.00 | 0.70 | 0.00 | –1.00 |
| 30828 | predictable | 0.9329 | 0.96948 | 0.03 | 0.70 | 0.07 | 0.18 | 1.00 |
| 30881 | predictable | 0.9913 | 1.00195 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 30822 | predictable | 0.8742 | 0.94272 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 30877 | predictable | 0.7614 | 0.94094 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
| 30868 | predictable | 0.964 | 0.69098 | 1.00 | 0.82 | 0.00 | 0.18 | 1.00 |
| 30894 | predictable | 0.9974 | 1.0514 | 0.57 | 1.00 | 0.43 | 0.00 | –1.00 |
| 30858 | predictable | 1.0336 | 1.12077 | 0.47 | 0.20 | 0.53 | 0.80 | 0.00 |
| 30869 | predictable | 0.9446 | 1.06854 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 |
Summary of Gaussian GLM to model exploratory behaviour of barbel B_ barbus (Linnaeus, 1758) as a function of initial feeding pattern assigned (random/predictable) and condition factor_
| Model parameter | Estimate | SE | p |
|---|---|---|---|
| Intercept(random) | 0.0688 | 0.066 | 0.301 |
| Initial pattern(predictable) | 0.0241 | 0.100 | 0.810 |
| Condition | 0.2370 | 0.486 | 0.612 |
| Initial pattern(predictable): | –1.1245 | 0.718 | 0.117 |