Three hundred ways to assess Europe's surface waters: An almost complete overview of biological methods to implement the Water Framework Directive

被引:795
作者
Birk, Sebastian [1 ]
Bonne, Wendy [2 ]
Borja, Angel [3 ]
Brucet, Sandra [2 ]
Courrat, Anne [4 ]
Poikane, Sandra [2 ]
Solimini, Angelo [5 ]
van de Bund, Wouter [2 ]
Zampoukas, Nikolaos [2 ]
Hering, Daniel [1 ]
机构
[1] Univ Duisburg Essen, Fac Biol, D-45141 Essen, Germany
[2] European Commiss, Joint Res Ctr, Inst Environm & Sustainabil, I-21027 Ispra, Italy
[3] AZTI Tecnalia, Div Marine Res, Pasaia 20110, Spain
[4] CEMAGREF UR EPBX, F-33612 Cestas, France
[5] Univ Roma La Sapienza, Dept Publ Hlth & Infect Dis, Rome, Italy
关键词
Bioassessment; Ecological status boundaries; Biological metric; Pressure-impact relationship; Taxonomic resolution; Sampling precision and representativeness; ECOLOGICAL STATUS; TAXONOMIC SUFFICIENCY; QUALITY; THRESHOLDS; INDICATORS; RECOMMENDATIONS; COMMUNITIES; ECOSYSTEMS; ESTUARINE; INTEGRITY;
D O I
10.1016/j.ecolind.2011.10.009
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
According to the Water Framework Directive (WFD), the status of European surface waters is assessed using aquatic organism groups. Here we present an overview of 297 assessment methods, based on a questionnaire survey addressing authorities in all countries implementing the WFD. Twenty-eight countries reported on methods applied to rivers (30%), coastal waters (26%), lakes (25%) and transitional waters (19%). More than half of the methods are based on macroscopic plants (28%) or benthic invertebrates (26%); in addition, phytoplankton (21%), fish (15%) and phytobenthos (10%) were assessed. Countries of Central and Western Europe had developed almost all methods required for the WFD implementation. Two main sampling strategies were discernable: small-scale sampling of the taxonomically diverse groups of benthic invertebrates and phytobenthos that demand elaborate processing, versus large-scale sampling of vast, species-poor plant stands or the mobile fish fauna. About three-quarters of methods identified organisms to species-level while in particular phytoplankton-based methods used class-or phylum-level, or included no taxonomic information. Out of nine metric types distinguished, river methods used more sensitivity and trait metrics while for other water categories abundance metrics prevailed. Fish-based methods showed the highest number of metrics. Fifty-six percent of methods focussed on the detection of eutrophication and organic pollution, with shares decreasing from autotrophic to heterotrophic organism groups: phytoplankton > phytobenthos > macroscopic plants > benthic invertebrates > fish fauna. The order was almost reverse for hydrological or morphological deterioration: fish fauna and macroscopic plants > benthic invertebrates > phytoplankton > phytobenthos. These pressures were mainly assessed by methods applied to rivers and transitional waters. The pressure-impact relationship of about one-third of methods was not tested empirically with methods for transitional waters being the least validated. The strength of relationships differed significantly between organism groups and water categories. The correlation coefficients generally covered a broad range (<0.4 to >0.8), but on average with the pattern: phytoplankton > macroscopic plants > benthic invertebrates > phytobenthos and fish fauna. In terms of water categories the following order resulted: coastal waters > lakes > transitional waters > rivers. Status boundaries were mostly defined using statistical approaches. We advocate better reflection of the necessary sampling effort and precision, full validations of pressure-impact relationships and an implementation of more ecological components into classification. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:31 / 41
页数:11
相关论文
共 78 条
[41]  
Juggins S., 2007, SCO30103 ENV AG
[42]  
Karr JR., 1999, Restoring life in running waters
[43]   Recommendations for the routine sampling of diatoms for water quality assessments in Europe [J].
Kelly, MG ;
Cazaubon, A ;
Coring, E ;
Dell' Uomo, A ;
Ector, L ;
Goldsmith, B ;
Guasch, H ;
Hurlimann, J ;
Jarlman, A ;
Kawecka, B ;
Kwandrans, J ;
Laugaste, R ;
Lindstrom, EA ;
Leitao, M ;
Marvan, P ;
Padisak, J ;
Pipp, E ;
Prygiel, J ;
Rott, E ;
Sabater, S ;
van Dam, H ;
Vizinet, J .
JOURNAL OF APPLIED PHYCOLOGY, 1998, 10 (02) :215-224
[44]   Integrating bioassessment and ecological risk assessment: An approach to developing numerical water-quality criteria [J].
King, RS ;
Richardson, CJ .
ENVIRONMENTAL MANAGEMENT, 2003, 31 (06) :795-809
[45]   Development of a River Macrophyte Index (RMI) for assessing river ecological status [J].
Kuhar, Urska ;
Germ, Mateja ;
Gaberscik, Alenka ;
Urbanci, Gorazd .
LIMNOLOGICA, 2011, 41 (03) :235-243
[46]  
Kurtz Janis C., 2001, Ecological Indicators, V1, P49, DOI 10.1016/S1470-160X(01)00004-8
[47]   The effect of excluding diatom taxa and reducing taxonomic resolution on multivariate analyses and stream bioassessment [J].
Lavoie, Isabelle ;
Dillon, Peter J. ;
Campeau, Stephane .
ECOLOGICAL INDICATORS, 2009, 9 (02) :213-225
[48]   Taxonomy and stream ecology - The benefits of genus- and species-level identifications [J].
Lenat, DR ;
Resh, VH .
JOURNAL OF THE NORTH AMERICAN BENTHOLOGICAL SOCIETY, 2001, 20 (02) :287-298
[49]   Assessing human-induced pressures on coastal areas with publicly available data [J].
Lopez y Royo, Cecilia ;
Silvestri, Cecilia ;
Pergent, Gerard ;
Casazza, Gianna .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2009, 90 (03) :1494-1501
[50]  
Lougheed VL, 2007, WETLANDS, V27, P96, DOI 10.1672/0277-5212(2007)27[96:UNROMT]2.0.CO