CSEMP assessment of mercury in biota at Dogger Central
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | 29.89 | 31.69 | -11.94 | 23.89 | | | |
| linear | 2 | 31.84 | 35.40 | -11.92 | 23.84 | 0.046 | 1 | 0.8306 |
| smooth (df = 2) | 3 | 33.17 | 39.42 | -11.59 | 23.17 | 0.668 | 1 | 0.4139 |
| smooth (df = 3) | 4 | 34.88 | 45.17 | -11.44 | 22.88 | 0.293 | 1 | 0.5885 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 2001 | 2017 | 4.467 | 4.409 | -0.05724 | 0.26730 | -0.214 | 0.8344 |
| last 20 years | 2001 | 2017 | 4.467 | 4.409 | -0.05724 | 0.26730 | -0.214 | 0.8344 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 82.2 | 35.0 | -0.8539 | 0.1710 | -4.995 | 0.9998 |
| EC | 82.2 | 500.0 | 1.8053 | 0.1710 | 10.560 | <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
