CSEMP assessment of mercury in biota at Amble
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | 43.61 | 45.41 | -18.81 | 37.61 | | | |
| linear | 2 | 42.08 | 45.63 | -17.04 | 34.08 | 3.537 | 1 | 0.0600 |
| smooth (df = 2) | 3 | 43.24 | 49.49 | -16.62 | 33.24 | 0.836 | 1 | 0.3607 |
| smooth (df = 3) | 4 | 45.24 | 55.53 | -16.62 | 33.24 | 0.000 | 1 | 0.9895 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 1999 | 2017 | 4.000 | 4.439 | 0.4387 | 0.2172 | 2.020 | 0.0684 |
| last 20 years | 1999 | 2017 | 4.000 | 4.439 | 0.4387 | 0.2172 | 2.020 | 0.0684 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 84.6 | 35.0 | -0.8832 | 0.1354 | -6.525 | 1.0000 |
| EC | 84.6 | 500.0 | 1.7761 | 0.1354 | 13.122 | <0.0001 |
Raw data with supporting information
Raw data with assessment
Assessment plot
Metals data
Metals assessment
Related pages
- Clean Seas Environment Monitoring Programme (CSEMP) accessment viewer tool
- Assessment methodology for metals in biota
- Accessment criteria for metals in biota
