CSEMP assessment of mercury in biota at Flamborough
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | 58.98 | 60.78 | -26.49 | 52.98 | | | |
| linear | 2 | 58.12 | 61.67 | -25.06 | 50.12 | 2.867 | 1 | 0.0904 |
| smooth (df = 2) | 3 | 58.41 | 64.66 | -24.20 | 48.41 | 1.712 | 1 | 0.1907 |
| smooth (df = 3) | 4 | 57.70 | 67.98 | -22.85 | 45.70 | 2.709 | 1 | 0.0998 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 1999 | 2017 | 4.616 | 5.111 | 0.4949 | 0.2769 | 1.787 | 0.1014 |
| last 20 years | 1999 | 2017 | 4.616 | 5.111 | 0.4949 | 0.2769 | 1.787 | 0.1014 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 165.8 | 35.0 | -1.5552 | 0.1725 | -9.018 | 1.0000 |
| EC | 165.8 | 500.0 | 1.1041 | 0.1725 | 6.402 | <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
