CSEMP assessment of mercury in biota at Farne
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | 22.26 | 26.76 | -8.13 | 16.26 | | | |
| linear | 2 | 23.98 | 34.64 | -7.99 | 15.98 | 0.283 | 1 | 0.5946 |
| smooth (df = 2) | 3 | 24.77 | 49.77 | -7.39 | 14.77 | 1.204 | 1 | 0.2725 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 2006 | 2017 | 4.756 | 4.587 | -0.16901 | 0.31476 | -0.537 | 0.6143 |
| last 20 years | 2006 | 2017 | 4.756 | 4.587 | -0.16901 | 0.31476 | -0.537 | 0.6143 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 98.2 | 35.0 | -1.0318 | 0.1924 | -5.362 | 0.9985 |
| EC | 98.2 | 500.0 | 1.6274 | 0.1924 | 8.457 | 0.0002 |
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
