Abstract
The purpose of this chapter is to present results of the applicability of the most well-known biopollution (BP) and biocontamination (BC) indices available in the literature by using information from the standard monitoring programme for fish carried out in Catalonia. As a part of this exercise, the pertinence of the results is evaluated by answering two questions: (1) are the BP&BC indices actually indicators for quality status, i.e. do their results respond to indicators of pressures on water bodies? And if so, (2) are the indices redundant with the existing indices of quality status for a given biological element? This discussion will be done in relation to the use of information on alien species (AS) for the purpose of future management and the ensuing role of uncertainty in the ecological assessment on water bodies according to the Water Framework Directive (2000/60/EC).
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Abbreviations
- AS:
-
Alien species
- BC:
-
Biocontamination
- BP:
-
Biopollution
- BPL:
-
Biopollution level index
- IBPR:
-
Integrated biopollution risk index
- SBC:
-
Site-specific biological contamination
- WFD:
-
Water Framework Directive
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Acknowledgements
The first author benefited from her participation in the formal discussions on alien species and water body classification within for the WFD Ecological Status Working Group (ECOSTAT) in Bordeux (2008) and Ispra (2009), both coordinated by Professor Phil Boon (SNH, UK) and Dr Ana Cristina Cardoso (JRC, Italy). The author gratefully acknowledges the coordinators and all the participants for the fruitful discussions, in particular to Jochen Vandekerkhove (JRC, Italy), for the management of the ECOSTAT questionnaire to national experts ‘Alien species and the Water Framework Directive’ issued in January 2009.
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Annexes
Annexes
1.1 Annex I
1.2 Annex II
1.3 Annex III
BC&BP levels and pressures, results of the correlation analysis
SBCindha | SBCkgha | IBPRindha | IBPRkgha | RIAP | |||
Data on BP& BC in 2003 | |||||||
Kendall’s tau-b | SBCindha | Correlation coefficient | 1.000 | 0.924** | 0.891** | 0.836** | 0.215** |
Sig. (2-tailed) | – | 0.000 | 0.000 | 0.000 | 0.000 | ||
N | 246 | 246 | 246 | 246 | 246 | ||
SBCkgha | Correlation coefficient | 0.924** | 1.000 | 0.899** | 0.902** | 0.240** | |
Sig. (2-tailed) | 0.000 | – | 0.000 | 0.000 | 0.000 | ||
N | 246 | 246 | 246 | 246 | 246 | ||
IBPRindha | Correlation coefficient | 0.891** | 0.899** | 1.000 | 0.907** | 0.243** | |
Sig. (2-tailed) | 0.000 | 0.000 | – | 0.000 | 0.000 | ||
N | 246 | 246 | 246 | 246 | 246 | ||
IBPRkgha | Correlation coefficient | 0.836** | 0.902** | 0.907** | 1.000 | 0.240** | |
Sig. (2-tailed) | 0.000 | 0.000 | 0.000 | – | 0.000 | ||
N | 246 | 246 | 246 | 246 | 246 | ||
RIAP | Correlation coefficient | 0.215** | 0.240** | 0.243** | 0.240** | 1.000 | |
Sig. (2-tailed) | 0.000 | 0.000 | 0.000 | 0.000 | – | ||
N | 246 | 246 | 246 | 246 | 295 | ||
Spearman’s rho | SBCindha | Correlation coefficient | 1.000 | 0.965** | 0.954** | 0.927** | 0.274** |
Sig. (2-tailed) | – | 0.000 | 0.000 | 0.000 | 0.000 | ||
N | 246 | 246 | 246 | 246 | 246 | ||
SBCkgha | Correlation coefficient | 0.965** | 1.000 | 0.957** | 0.959** | 0.305** | |
Sig. (2-tailed) | 0.000 | – | 0.000 | 0.000 | 0.000 | ||
N | 246 | 246 | 246 | 246 | 246 | ||
IBPRindha | Correlation coefficient | 0.954** | 0.957** | 1.000 | 0.964** | 0.315** | |
Sig. (2-tailed) | 0.000 | 0.000 | – | 0.000 | 0.000 | ||
N | 246 | 246 | 246 | 246 | 246 | ||
IBPRkgha | Correlation coefficient | 0.927** | 0.959** | 0.964** | 1.000 | 0.310** | |
Sig. (2-tailed) | 0.000 | 0.000 | 0.000 | – | 0.000 | ||
N | 246 | 246 | 246 | 246 | 246 | ||
RIAP | Correlation coefficient | 0.274** | 0.305** | 0.315** | 0.310** | 1.000 | |
Sig. (2-tailed) | 0.000 | 0.000 | 0.000 | 0.000 | – | ||
N | 246 | 246 | 246 | 246 | 295 | ||
Data on BP& BC in 2007 | |||||||
Kendall’s tau-b | SBCindha | Correlation coefficient | 1.000 | 0.967** | 0.886** | 0.877** | 0.219** |
Sig. (2-tailed) | – | 0.000 | 0.000 | 0.000 | 0.000 | ||
N | 235 | 235 | 235 | 235 | 235 | ||
SBCkgha | Correlation coefficient | 0.967** | 1.000 | 0.894** | 0.900** | 0.208** | |
Sig. (2-tailed) | 0.000 | – | 0.000 | 0.000 | 0.000 | ||
N | 235 | 235 | 235 | 235 | 235 | ||
IBPRindha | Correlation coefficient | 0.886** | 0.894** | 1.000 | 0.959** | 0.224** | |
Sig. (2-tailed) | 0.000 | 0.000 | – | 0.000 | 0.000 | ||
N | 235 | 235 | 235 | 235 | 235 | ||
IBPRkgha | Correlation coefficient | 0.877** | 0.900** | 0.959** | 1.000 | 0.239** | |
Sig. (2-tailed) | 0.000 | 0.000 | 0.000 | – | 0.000 | ||
N | 235 | 235 | 235 | 235 | 235 | ||
RIAP | Correlation coefficient | 0.219** | 0.208** | 0.224** | 0.239** | 1.000 | |
Sig. (2-tailed) | 0.000 | 0.000 | 0.000 | 0.000 | – | ||
N | 235 | 235 | 235 | 235 | 311 | ||
Spearman’s rho | SBCindha | Correlation coefficient | 1.000 | 0.983** | 0.949** | 0.944** | 0.282** |
Sig. (2-tailed) | – | 0.000 | 0.000 | 0.000 | 0.000 | ||
N | 235 | 235 | 235 | 235 | 235 | ||
SBCkgha | Correlation coefficient | 0.983** | 1.000 | 0.953** | 0.956** | 0.271** | |
Sig. (2-tailed) | 0.000 | – | 0.000 | 0.000 | 0.000 | ||
N | 235 | 235 | 235 | 235 | 235 | ||
IBPRindha | Correlation coefficient | 0.949** | 0.953** | 1.000 | 0.985** | 0.296** | |
Sig. (2-tailed) | 0.000 | 0.000 | – | 0.000 | 0.000 | ||
N | 235 | 235 | 235 | 235 | 235 | ||
IBPRkgha | Correlation coefficient | 0.944** | 0.956** | 0.985** | 1.000 | 0.313** | |
Sig. (2-tailed) | 0.000 | 0.000 | 0.000 | – | 0.000 | ||
N | 235 | 235 | 235 | 235 | 235 | ||
RIAP | Correlation coefficient | 0.282** | 0.271** | 0.296** | 0.313** | 1.000 | |
Sig. (2-tailed) | 0.000 | 0.000 | 0.000 | 0.000 | – | ||
N | 235 | 235 | 235 | 235 | 311 |
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Rodríguez-Labajos, B., Solà, C., Munné, A. (2015). A First Biopollution Index Approach and Its Relationship on Biological Quality in Catalan Rivers. In: Munné, A., Ginebreda, A., Prat, N. (eds) Experiences from Surface Water Quality Monitoring. The Handbook of Environmental Chemistry, vol 42. Springer, Cham. https://doi.org/10.1007/698_2015_440
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