CSEMP assessment of lead in biota at Amble
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | 76.17 | 78.74 | -35.08 | 70.17 | | | |
| linear | 2 | 77.34 | 82.67 | -34.67 | 69.34 | 0.832 | 1 | 0.3616 |
| smooth (df = 2) | 3 | 78.82 | 88.82 | -34.41 | 68.82 | 0.518 | 1 | 0.4717 |
| smooth (df = 3) | 4 | 74.58 | 92.58 | -31.29 | 62.58 | 6.241 | 1 | 0.0125 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 2003 | 2017 | 4.736 | 5.393 | 0.6576 | 0.7148 | 0.920 | 0.3845 |
| last 20 years | 2003 | 2017 | 4.736 | 5.393 | 0.6576 | 0.7148 | 0.920 | 0.3845 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 219.9 | 26.0 | -2.1352 | 0.4700 | -4.543 | 0.9991 |
| EC | 219.9 | 1500.0 | 1.9199 | 0.4700 | 4.085 | 0.0018 |
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
