CSEMP assessment of mercury in biota at New Brighton (Mersey)
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | 10.32 | 12.57 | -2.16 | 4.32 | | | |
| linear | 2 | 5.94 | 10.51 | 1.03 | -2.06 | 6.383 | 1 | 0.0115 |
| smooth (df = 2) | 3 | 7.94 | 16.27 | 1.03 | -2.06 | 0.000 | 1 | 0.9996 |
| smooth (df = 3) | 4 | 5.82 | 20.22 | 3.09 | -6.18 | 4.121 | 1 | 0.0424 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 2002 | 2018 | 4.134 | 3.655 | -0.4792 | 0.1636 | -2.929 | 0.0168 |
| last 20 years | 2002 | 2018 | 4.134 | 3.655 | -0.4792 | 0.1636 | -2.929 | 0.0168 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 38.7 | 14.7 | -0.9692 | 0.0949 | -10.211 | 1.0000 |
| EC | 38.7 | 500.0 | 2.5596 | 0.0949 | 26.966 | <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
