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 | 11.95 | 14.52 | -2.98 | 5.95 | | | |
| linear | 2 | 7.98 | 13.32 | 0.01 | -0.02 | 5.968 | 1 | 0.0146 |
| smooth (df = 2) | 3 | 9.85 | 19.85 | 0.08 | -0.15 | 0.135 | 1 | 0.7132 |
| smooth (df = 3) | 4 | 8.52 | 26.52 | 1.74 | -3.48 | 3.327 | 1 | 0.0682 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 2002 | 2017 | 4.151 | 3.648 | -0.5031 | 0.1771 | -2.842 | 0.0218 |
| last 20 years | 2002 | 2017 | 4.151 | 3.648 | -0.5031 | 0.1771 | -2.842 | 0.0218 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 38.4 | 14.7 | -0.9622 | 0.1051 | -9.157 | 1.0000 |
| EC | 38.4 | 500.0 | 2.5666 | 0.1051 | 24.425 | <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
