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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- 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
References
Cardoso AC, Free G (2008) Incorporating invasive alien species into ecological assessment in the context of the Water Framework Directive. Aquat Invasions 3:361–366
Vandekerkhove J, Cardoso AC (2010) Alien species and the Water Framework Directive. Questionnaire results. European Commission - JRC scientific and technical reports, Ispra, Italy
Vandekerkhove J, Cardoso AC, Boon PJ (2013) Is there a need for a more explicit accounting of invasive alien species under the Water Framework Directive? Manage Biol Invasions 4:25–36. doi:10.3391/mbi.2013.4.1.04
Boudouresque CF, Verlaque M (2002) Biological pollution in the Mediterranean Sea: invasive versus introduced macrophytes. Mar Pollut Bull 44:32–38
Elliott M (2003) Biological pollutants and biological pollution--an increasing cause for concern. Mar Pollut Bull 46:275–280
Olenin S, Elliott M, Bysveen I et al (2011) Recommendations on methods for the detection and control of biological pollution in marine coastal waters. Mar Pollut Bull 62:2598–2604
Olenin S, Alemany F, Cardoso AC et al (2010) Marine Strategy Framework Directive – Task Group 2 report. Non-indigenous species. doi: 10.2788/87092
Panov VE, Alexandrov B, Arbaciauskas K et al (2009) Assessing the risks of aquatic species invasions via European inland waterways: from concepts to environmental indicators. Integr Environ Assess Manag 5:110–126
Panov V, Dgebuadze Y, Shiganova T et al (2007) A risk assessment of biological invasions in the inland waterways of Europe: the Northern Invasion Corridor case study. In: Biological invaders in inland waters: profiles, distribution, and threats. Springer, The Netherlands, pp 639–656
Olenin S, Minchin D, Daunys D (2007) Assessment of biopollution in aquatic ecosystems. Mar Pollut Bull 55:379–394
Arbačiauskas K, Semenchenko V, Grabowski M et al (2008) Assessment of biocontamination of benthic macroinvertebrate communities in European inland waterways. Aquat Invasions 3:211–230
Lee A (2009) ECOSTAT workshop on alien species and the EC Water Framework Directive. Final report. Ispra, Italy
Agència Catalana de l’Aigua (ACA) (2006) BIORI. Protocol d’avaluació de la qualitat biològica dels rius. Departament de Medi Ambient i Habitatge, Generalitat de Catalunya, Barcelona
Sostoa de A, Caiola NM, Casals F et al (2010) Ajust de l’índex d’Integritat Biòtica (IBICAT) basat en l’ús dels peixos com a indicadors de la qualitat ambiental als rius de Catalunya. Agència Catalana de l’Aigua, Departament de Medi Ambient i Habitatge, Generalitat de Catalunya, Barcelona
MacNeil C, Briffa M, Leuven RSEW et al (2010) An appraisal of a biocontamination assessment method for freshwater macroinvertebrate assemblages; a practical way to measure a significant biological pressure? Hydrobiologia 638:151–159
Šidagyte E, Višinskiene G, Arbačiauskas K (2013) Macroinvertebrate metrics and their integration for assessing the ecological status and biocontamination of Lithuanian lakes. Limnologica 43:308–318
Nentwig W, Kühnel E, Bacher S (2010) A generic impact-scoring system applied to alien mammals in Europe. Conserv Biol 24:302–311. doi:10.1111/j.1523-1739.2009.01289.x
Magee TK, Ringold PL, Bollman MA, Ernst TL (2010) Index of alien impact: a method for evaluating potential ecological impact of alien plant species. Environ Manage 45:759–778. doi:10.1007/s00267-010-9426-1
Sandvik H, Sæther B-E, Holmern T et al (2013) Generic ecological impact assessments of alien species in Norway: a semi-quantitative set of criteria. Biodivers Conserv 22:37–62
Genovesi P, Shine C (2004) European strategy on invasive alien species. Council of Europe Press, Strasbourg
Nehring S, Klingenstein F (2008) Aquatic alien species in Germany – listing system and options for action. In: Rabitsch W, Essl F, Klingenstein F (eds) Biological invasions – from ecology to conservation. NEOBIOTA 7. pp 19–33
Narščius A, Olenin S, Zaiko A, Minchin D (2012) Biological invasion impact assessment system: from idea to implementation. Ecol Inform 7:46–51
Zaiko A, Lehtiniemi M, Narščius A, Olenin S (2011) Assessment of bioinvasion impacts on a regional scale: a comparative approach. Biol Invasions 13:1–27
Olenina I, Wasmund N, Hajdu S et al (2010) Assessing impacts of invasive phytoplankton: the Baltic Sea case. Mar Pollut Bull 60:1691–1700
Wittfoth AKJ, Zettler ML (2013) The application of a biopollution index in German Baltic estuarine and lagoon waters. Manage Biol Invasions 4:43–50
Ballesteros E, Garcia M, Torras X et al (2010) Informe del Programa de vigilància de la qualitat de les aigües litorals de Catalunya en funció de les comunitats de macroalgues, segons la Directiva Marc de l’Aigua i de la prevenció de la implantació d’espècies invasores. Informe final 2010. Blanes
Conrad M (1979) Ecosystem stability and bifurcation in the light of adaptability theory. In: Gurel O, Rössler O (eds) Bifurcation theory and its application to scientific disciplines. New York Academy of Sciences, New York, pp 465–482
Munné A, Prat N (2009) Use of macroinvertebrate-based multimetric indices for water quality evaluation in Spanish Mediterranean rivers: an intercalibration approach with the IBMWP index. Hydrobiologia 628:203–225
Boquera Margalef M, Quiroga Raimundez V (2001) De la saboga al silur. Perscadors fluvials de l’Ebre a Tivenys. Generalitat de Catalunya - Centre de Promocio de la Cultura Popular i Tradicional Catalana, Barcelona
Karr JR (1981) Assessment of biotic integrity using fish communities. Fisheries 6:21–27. doi:10.1577/1548-8446(1981)006<0021:AOBIUF>2.0.CO;2
Karr JR (1987) Biological monitoring and environmental assessment: a conceptual framework. Environ Manage 11:249–256. doi:10.1007/BF01867203
Sostoa de A, Caiola NM, Vinyoles D et al (2003) Desenvolupament d’un índex d’integritat biòtica (IBICAT) basat en l’ús dels peixos com a indicadors de la qualitat ambiental dels rius de Catalunya. Aplicació de la Directiva marc en política d’aigües de la Unió Europea (2000/60/CE). Informe final del Dep. Departament de Medi Ambient, Generalitat de Catalunya., Barcelona
Schlaepfer MA, Sax DF, Olden JD (2011) The potential conservation value of non-native species. Conserv Biol 25:428–437. doi:10.1111/j.1523-1739.2010.01646.x
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
Results of the determination of the site-specific contamination level, using fish, for the water bodies in Catalonia (2002–2003 and 2007–2008), for different indicators of AS abundance (density [ind/ha] and biomass [kg/ha]). (a) Results for all assessment units. (b) Results for assessment units with fish fauna
1.2 Annex II
Results of the determination of biopollution risk index, using fish, for the water bodies in Catalonia (2002–2003 and 2007–2008), for different indicators of AS abundance (Ind/ha and kg/ha). (a) Results for all assessment units. (b) Results for assessment units with fish fauna
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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DOI: https://doi.org/10.1007/698_2015_440
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