COST Action 626

European Aquatic Modelling  Network (EAMN)

 

Working Group on “Raw Data” (WG1)

 

Working programme for the 1st meeting in Stuttgart 8-9 March 2001

 

Draft agenda

 

8 March 2001

8.45-9.00 MC meeting

9.00-15.00 Plenum

15.30-18.00 WG1 meeting “Introduction”

As raw data sampling in aquatic modelling covers a very broad spectrum we have to specify our focus based on expertise represented by the group and based on research needs.

Outlining the major tasks

                       

9 March 2001

9.00-10.30 Plenum

10.30-12.30 WG1 meeting “State-of-the-art”

 

13.00-15.00 WG1 meeting “Sharing responsibilities”

Developing a detailed working plan and time schedule

Working methodologies (formal protocols for information exchange, web page, etc.),

15.30-17.00 Plenum

 

 

 

 

Action Area I: Raw Data

 

All kind of assessment studies requires some kind of raw data, very often several different types of data (i.e. data on hydrology, ecosystem species and hydro operations). The collection of different types of data should be considered in its entirety, not as separate tasks belonging to separate disciplines. For each objective state of the art, innovation and research needs will be defined. New innovative techniques in data collection will be essential to improve and develop new methods and models of assessing riverine ecosystems for the Action Task B, Developing methods and models. The best practice and a set of guidelines in data collection and use will be a part of the framework provided to the end-users in Action Task C, Making methods and models available.

 

 

Objectives

 

Data quality and the spatial/temporal resolution

Sampling methods and instruments

 

 

1.      Data quality and the spatial/temporal resolution

 

To achieve the first objective of setting the research needs in assessment methods for aquatic habitats, raw data requirements and collection procedures will be described.

The data quality and the spatial/temporal resolution in raw data are very often crucial to the quality of the assessment study. The raw data collection should always be considered as a part of the whole modelling and application. The need for integration with the other Action Areas is clear.

 

Micro, meso and macro scale

Up- and downscaling

Identification and selection of key parameters and target species

 

2.      Sampling methods and instruments

 

Technical issues like methods and instruments for raw data collection, control and storage is one of the main tasks in the Raw Data Action Area. The need for documentation of methods and the first steps towards general standardised methods of data collection must be other tasks within this Action Area.

 

Innovation

 

Integrative approach: combining abiotic and biotic measurements

 

Types of data

 

Abiotic Habitat Data

Physical

Chemical

 

Biotic Data

Fish

Macroinvertebrates

Algae

Macrophytes