Information system for monitoring environmental impacts of genetically modified organisms.
OBJECTIVE
European legislation stipulates that genetically modified organisms (GMO) have to be monitored to identify potential adverse environmental effects. A wealth of different types of monitoring data from various sources including existing environmental monitoring programmes is expected to accumulate. This requires an information system to efficiently structure, process and evaluate the monitoring data.


METHODS
A structure for an Information System for Monitoring GMO (ISMO) was developed by a multidisciplinary research team. It is based on the requirement to organise all relevant information in a logical, readily accessible and functional manner.


RESULTS
For the ISMO, we present a combination of three interrelated components: Firstly, an ISMO should comprise a knowledge database structured according to information related to the different scale levels of biological organisation relevant to GMO monitoring and scientific hypotheses on cause-effects which should be validated by monitoring data. Secondly, a monitoring database should be part of an ISMO containing GMO-specific monitoring data and meta-data. This monitoring database should be linked with monitoring data from other monitoring programmes which are relevant for GMO-related questions. Thirdly, an ISMO should encompass a database covering administrative and procedural data. Neither national nor international approaches to an ISMO exist yet.


CONCLUSIONS
An ISMO as designed in this paper could support competent authorities in both the GMO notification process and in post-market monitoring. This includes evaluating the environmental risks of experimentally releasing GMO and placing them on the market, assessing monitoring plans and evaluating monitoring results. The ISMO should be implemented on both the national and international level, preferably combining different administrative scales. Harmonisation approaches towards GMO monitoring data are at an initial stage, but they are a precondition to coordinated GMO monitoring and to successfully implementing an ISMO. It is recommended to set up a legal basis and to agree on common strategies for the data coordination and harmonisation.
Reuter
Hauke
H
Centre for Environmental Research and Sustainable Technology, University of Bremen, Leobener Str., 28359, Bremen, Germany. hauke.reuter@zmt-bremen.de
Middelhoff
Ulrike
U
Graef
Frieder
F
Verhoeven
Richard
R
Batz
Thomas
T
Weis
Martin
M
Schmidt
Gunther
G
Schröder
Winfried
W
Breckling
Broder
B
D004784:Environmental Monitoring / Q000379:methods*; D004787:Environmental Pollution / Q000032:analysis / Q000706:statistics & numerical data; D040362:Geographic Information Systems; D007256:Information Systems; D051188:Knowledge Bases; D030781:Organisms, Genetically Modified; D018570:Risk Assessment