Further Development of River Invertebrate Classification Tool
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Final Report Project WFD100 Further Development of River Invertebrate Classification Tool September/2010 © SNIFFER 2010 All rights reserved. No part of this document may be reproduced, stored in a retrieval system or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise without the prior permission of SNIFFER. The views expressed in this document are not necessarily those of SNIFFER. Its members, servants or agents accept no liability whatsoever for any loss or damage arising from the interpretation or use of the information, or reliance upon views contained herein. Dissemination status Unrestricted Project funders Environment Agency Northern Ireland Environment Agency Scottish Environment Protection Agency Whilst this document is considered to represent the best available scientific information and expert opinion available at the stage of completion of the report, it does not necessarily represent the final or policy positions of the project funders. Research contractor This document was produced by the Centre for Ecology & Hydrology (main contractor) and the Freshwater Biological Association (sub-contractor): John Davy-Bowker*, Sean Arnott‡, Rebecca Close†, Mike Dobson†, Michael Dunbar‡, Gabriela Jofre*, Diana Morton*, John Murphy∆, William Wareham‡, Stephanie Smith* & Vanya Gordon* *The Freshwater Biological Association, River Laboratory, East Stoke, Wareham, Dorset, BH20 6BB, United Kingdom †The Freshwater Biological Association, The Ferry Landing, Far Sawrey, Ambleside, Cumbria, LA22 0LP, United Kingdom ‡Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, United Kingdom ∆Queen Mary University of London, c/o Freshwater Biological Association, River Laboratory, East Stoke, Wareham, Dorset, BH20 6BB, United Kingdom SNIFFER’s project manager SNIFFER’s project manager for this contract is: David Colvill, Scottish Environment Protection Agency SNIFFER’s project steering group members are: David Colvill, Scottish Environment Protection Agency Peter Hale, Northern Ireland Environment Agency Imelda O’Neill, Northern Ireland Environment Agency Ben McFarland, Environment Agency SNIFFER First Floor, Greenside House 25 Greenside Place EDINBURGH EH1 3AA Scotland UK www.sniffer.org.uk Scotland & Northern Ireland Forum for Environmental Research (SNIFFER), Scottish Charity No SC022375, Company No SC149513. Registered in Edinburgh. Registered Office: Edinburgh Quay, 133 Fountainbridge, Edinburgh, EH3 9AG. SNIFFER WFD100: Further Development of River Invertebrate Classification Tool September, 2010 EXECUTIVE SUMMARY WFD100: Further Development of River Invertebrate Classification Tool (March, 2010) Project funders/partners: Environment Agency, Northern Ireland Environment Agency, Scotland & Northern Ireland Forum for Environmental Research, Scottish Environment Protection Agency Background to research The Regulatory Agencies in the UK (the Environment Agency; Scottish Environment Protection Agency; and the Northern Ireland Environment Agency) have recently begun to use the River Invertebrate Classification Tool (RICT) to classify the ecological quality of rivers. RICT incorporates RIVPACS IV predictive models and is a highly capable tool written in a modern software programming language. While RICT classifies waters for general degradation and organic pollution stress, producing assessments of status class and uncertainty, WFD compliance monitoring also requires the UK Agencies to assess the impacts of hydromorphological and acidification stresses. This project seeks to broaden the scope of RICT by adding numerical abundance estimates to the underlying RIVPACS database, thereby allowing the calculation of additional abundance-weighted biotic indices to classify sites affected by hydromorphological and acidification stress. This project also seeks to identify a list of potential new predictive variables to enable subsequent development of a RIVPACS model that does not use predictor variables that are affected by these stressors. Objectives of research • To consult and then propose various new predicted species output options from RICT that more closely conform to the level of species identification routinely achievable in Agency laboratories. • To produce the necessary data and files to implement these new species-level taxonomic output option(s) in RICT. • To allocate numerical abundance values to all of the existing species and family level records in the RIVPACS reference site database. • To calculate a new range of species-level biotic indices in the RIVPACS database and to supply the files necessary to enable RICT to predict reference values for these indices at test sites. • To propose a list of new predictive variables that will both enhance the predictive capabilities of RICT and also offset the loss of predictive power associated with the future removal of variables known to be affected by hydromorphological and acidification stress. i SNIFFER WFD100: Further Development of River Invertebrate Classification Tool September, 2010 This work has fine-tuned the species level index predictions of RICT to better match the needs of the Agencies, improved the usefulness of the RIVPACS dataset to predict abundance weighted indices and paved the way for RICT to make predictions using predictor variables that are more convincingly independent of the stresses being assessed. Key findings and recommendations This project has produced several enhancements to the RIVPACS database and the RIVPACS IV model within RICT: • Data files to support a new predicted species output option from RICT (WFD species level) that more closely conforms to the level of species identification routinely achievable in Agency laboratories. • Allocation of numerical abundance values to all of the existing species and family level records in the RIVPACS reference site database to support the calculation of a wide range of family and species-level indices including those with abundance weighting. • Calculation of a new range of species-level biotic indices in the RIVPACS database and the supply of files necessary for RICT to be able to predict reference values for these indices at test sites. • Production of a list of new predictive variables that could both enhance the predictive capabilities of RICT and also offset the loss of predictive power associated with the future removal of variables known to be affected by hydromorphological and acidification stress. While this project has made reference values of a wide range of new indices available it is recommended that further work should be undertaken to enable RICT to calculate indices that require direct comparison of observed and expected faunal lists (e.g. the Environment Agency Pesticide and the Index of Compositional Dissimilarity). Key words: RIVPACS IV, River Invertebrate Classification Tool, Water Framework Directive ii SNIFFER WFD100: Further Development of River Invertebrate Classification Tool September, 2010 TABLE OF CONTENTS EXECUTIVE SUMMARY 1. INTRODUCTION 1 1.1 Previous Projects 1 1.2 Project WFD100 2 1.3 Project Objectives 2 1.4 References 4 2. WORK ELEMENTS REPORTS 5 2.1 WE 2.1 Review and consultation on species-level biotic indices 5 2.1 Background 5 2.2 Review of Species Level Indices 5 2.2.1 The Waterview Database 5 2.2.2 EU AQEM/STAR Projects 6 2.2.2.1 ASTERICS 6 2.2.2.2 Species Traits Analysis (STAR Deliverable N2) 6 2.2.3 WFD Inter-calibration reports 7 2.2.4 Published Literature Sources and Reports 10 2.2.4.1 Macroinvertebrate Biological Traits for Bioassessment 10 2.2.4.2 MISA 11 2.2.4.3 DJ Index 12 2.2.4.4 Taxonomic Distinctness Indices 12 2.2.4.5 German Fauna Index D01, D02, D03, D04, D05 13 2.2.4.6 Comparison of Observed and Expected Fauna 13 2.2.4.7 Index of Compositional Dissimilarity 13 2.2.5 Consultation within the UK Agencies 14 2.2 WE 2.2 Consultation on practicable levels of species analysis 19 2.2.1 Background 19 2.2.2 Consultation On Current Levels of Analysis 19 2.2.3 References 20 2.3 WE 2.3 Recommendations for a new level/levels of taxonomic resolution 21 2.3.1 TL5 – WFD Species 21 2.4 WE 3.1 Data entry of species-level numerical abundances to the RIVPACS database 25 2.4.1 Background 25 2.4.2 Abundance Data Entry Process 26 2.4.3 Separating the Composite Families in the Raw Data 27 2.5 WE 3.2 Estimation and addition of numerical abundances to records without data 29 2.5.1 Estimating Missing Values 29 2.5.2 Logic checks 29 2.5.3 The completed RIVPACS database with numerical abundance data 29 2.6 WE 3.3 Calculation of numerical abundances for rationalised taxonomy / taxonomies and update of the RIVPACS reference database 31 2.6.1 Background 31 2.6.2 Production of New Files for Taxonomic Prediction 31 iii SNIFFER WFD100: Further Development of River Invertebrate Classification Tool September, 2010 2.7 WE 4.1/4. 2 Allocation of trait data for new biotic indices and calculation of reference biotic index values and end group means 35 2.7.1 Background 35 2.7.2 Index Calculation 35 2.7.2.1 Taxonomic Levels 35 2.7.2.2 Seasons 35 2.7.2.3 Excluded Sites 36 2.7.2.4 Indices Calculated 36 2.8 WE 5.0 Wish list of potential new predictive variables for future model development 41 2.8.1 Background 41 2.8.2 Predictor variables in RIVPACS/RICT 41 2.8.3 Relative Explanatory Power 42 2.8.4 Candidate Variables 43 2.8.5 References 46 3. ACKNOWLEDGEMENTS 47 4. APPENDICES 49 References are given either within or at the end of each chapter List of Tables Table 1 Intercalibration Common Metrics (ICMs) used in the Intercalibration Common Metric index (ICMi) as described in van de Bund, 2009 (pg 18). 8 Table 2 National methods used in intercalibration (all GIGs combined) as at 28th August 2009. 9 Table 3 Feedback on consultation within the UK Agencies, (EA, SEPA, NIEA) on current and likely future requirements for biotic indices. 15 Table 4 List of biotic indices for the calculation of new reference values (existing indices in RIVPACS IV/RICT are also shown for completeness). All publication references for indices (where available) are given in the Appendices.