To compare and intercalibrate the results of different 'invertebrate methods', particularly in terms of errors, precision, relation to reference conditions and possible class boundaries of grades of Ecological Status. To investigate the cost-effectiveness of different approaches to the collection and processing of macroinvertebrate samples involving varying levels of resource intensity.
The information available to this Workpackage derives from the earlier Workpackages 3, 4, 6, 7, 8 and 9, together with an additional series of specially collected samples in space, time and intensity.
In combination the source Workpackages provide:
The methodology, databases and metrics will by evaluated by:
Sampling variation and variation of results: Replicate data acquired during the sampling workshops will be used to assess the comparative uncertainties associated with the prescriptive sampling and sample processing protocols of several field methods. Comparisons will be made of the following components of samples:
In conjunction with data on sample processing biases (see below), these analyses will demonstrate the differences in the basic data submitted to a range of assessment protocols and how different levels of probability of assignment of sites to grades of Ecological Status may be derived from these assessment protocols.
Sample processing biases: Audit data acquired from Workpackage 9 will be used to assess the comparative biases associated with the prescriptive sample processing protocols of each of AQEM and RIVPACS. Comparisons will be made of the following components of the audit programme:
Development of an error module: The variations, errors and biases associated with the sampling and processing of macroinvertebrate samples (as determined above) will be integrated into a single uncertainties model. This module will be developed as software packages for incorporation in ex-isting assessment systems. A similar system already exists within RIVPACS but the uncertainties determined from experimental programmes within the UK will be compared with those obtained from pan-European sampling. The functionality of the error module will be:
Inter-calibration of 'invertebrate methods' and recommendations for class boundaries: The availability of data collected from common sites sampled concurrently by several field protocols will enable inter-calibration of procedures. Three tests will be used as part of the inter-calibration process:
Each test will incorporate the use of the error modules in order to compare an evaluation of the differences in the relative precision with which alternative procedures can be used to detect change. Comparisons of change will be based on evaluations of the spatial differences between sites of dif-ferent levels of presumed Ecological Status in the project sampling network.
These steps will be complemented by data on sample processing and cost effectiveness taken by a single partner (The Netherlands) as part of Workpackage 11. Additional samples will be taken in close collaboration with water authorities, following a stepwise procedure. The sample processing will particularly address questions of sampling (do we have to sample all habitats at a certain sampling surface area or can we use estimates of habitats and correct the numbers of organism from small samples to correct for the actual share of each?), sorting and processing of counts (what results are obtained when not all organism are sorted by hand, or only large animals are collected, or only subsamples are sorted?), and identification (how many individuals must be identified to get a valid picture of the species present and how many to get a valid picture of the abundances). But also aspects of seasonality (what season must be sampled and give most informative results?). Finally, attention will be given to the relationship between the sampling effectiveness and the results from metric calculations. Questions like "do metrics need this and/or that information to such detail?" should be answered.
The aim is, to produce a scientifically based, sound and especially cost effective methodology for comparison with the full standard protocols.
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