CSEMP assessment of lead in biota at Tees Bay
Statistical analysis
Trend assessment
Analysis of variance
| | Df | AIC | AICc | Log lik | Deviance | Chisq | Chi df | Pr(>Chisq) |
| mean | 1 | 112.52 | 114.52 | -53.26 | 106.52 | | | |
| linear | 2 | 113.93 | 117.93 | -52.97 | 105.93 | 0.586 | 1 | 0.4440 |
| smooth (df = 2) | 3 | 113.47 | 120.61 | -51.73 | 103.47 | 2.461 | 1 | 0.1167 |
| smooth (df = 3) | 4 | 111.68 | 123.68 | -49.84 | 99.68 | 3.793 | 1 | 0.0515 |
Change in log concentration
| | Year start | Year end | Fit start | Fit end | Change | Std error | t | Pr(>|t|) |
| overall | 2001 | 2017 | 6.258 | 5.639 | -0.6189 | 0.7967 | -0.777 | 0.4553 |
| last 20 years | 2001 | 2017 | 6.258 | 5.639 | -0.6189 | 0.7967 | -0.777 | 0.4553 |
Status assessment
| | Conc fitted | Conc ref | Log ratio | Std error | t | Pr(>t) |
| BAC | 281.1 | 26.0 | -2.3806 | 0.4853 | -4.906 | 0.9997 |
| EC | 281.1 | 1500.0 | 1.6745 | 0.4853 | 3.451 | 0.0031 |
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
