Information system for monitoring environmental impacts of genetically modified organisms

Reuter, Hauke; Middelhoff, Ulrike; Graef, Frieder; Verhoeven, Richard; Batz, Thomas; Weis, Martin; Schmidt, Günther; Schröder, Winfried; Breckling, Broder

doi:10.1007/s11356-010-0334-y

Cited by 19 publications

(14 citation statements)

References 19 publications

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“…The comparison among several related researches about project monitoring is implemented, where some of the previous researches are: a systematic approach for monitoring and evaluating the construction of project progress, developing an information system for monitoring student's activity online collaborative learning, and monitoring in educational development projects, the development of a monitoring system, web-based information system for pollution monitoring of lake, and information system for monitoring environmental impacts of genetically modified organisms [12][13] [14][15] [16] .…”

Section: A Data Collection Methodsmentioning

confidence: 99%

The development of project monitoring information system (Case study: PT Tetapundi Prima Kelola)

Sari

Putra

Rustamaji

2014

2014 International Conference on Cyber and IT Service Management (CITSM)

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PT Tetapundi Prima Kelola (TPK) is a small information technology company located in Jakarta established in 2012 to bridge the technology gapbetween Indonesia and other Asian countries, such as Hong Kong, Singapore, and Malaysia. The customers of this company come from various locations in or outside Jakarta capital city. Owing to several obstacles to monitor any particular project progress, this company needs a system to connect Technicians, Sales Department Staffs, and Manager of Sales Department for transforming the project progress data into project progress information. As a result, project-monitoring systems can be employed in this company, where web-based system can help the Sales Department staff to create project progress, which can be easily previewed by the Manager of Sales Department. The creation of database in this system can help the user to store data and information for the order details and project progress. Waterfall Model is used in developing this information system of project monitoring. The design of the system used is a notation of Unified Modeling Language (UML). In the implementation phase, system coding is done using PHP and MySQL, and blackbox testing is conducted to test the system. The outcome of this research is a system design that could help the Manager of Sales Department at PT TPK in monitoring a particular project progress.

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Section: A Data Collection Methodsmentioning

confidence: 99%

The development of project monitoring information system (Case study: PT Tetapundi Prima Kelola)

Sari

Putra

Rustamaji

2014

2014 International Conference on Cyber and IT Service Management (CITSM)

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“…Statistical analyses and classification of geodata are presented which serve to derive ecoregions, e.g. climatic and agricultural patterns and, thereby, help for assessing the representativeness of running or planned GMP EM sites and for investigating adverse ecological effects of GMP release on different spatial scales and for different agricultural regimes [5][6][7][8][9][10][11].…”

Section: Methods and Datamentioning

confidence: 99%

Overview of principles and implementations to deal with spatial issues in monitoring environmental effects of genetically modified organisms

Schröder

Schmidt

2012

Environ Sci Eur

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The approval of genetically modified organisms [GMO] for deliberate release and placing on the market requires GMO environmental risk assessment [ERA] and GMO environmental monitoring [EM]. Both GMO ERA and GMO EM are still under discussion. The goal of this article is, firstly, to analyse principles of GMO EM as published in the Association of German Engineers [VDI] Guideline 4330 Part 1, focusing on the characterisation of the receiving environment affected by GMO cultivation and the representativeness of GMO EM to assess large-scale implications of GMO cultivation. Secondly, the article introduces measures to meet these issues by the use of map data and statistics within a geographical information system [GIS]. Finally, three case studies exemplify the application of data and methods. To deal with spatial issues of GMO EM as outlined in the VDI Guideline 4330 Part 1, a GIS-based approach is presented. It relies on both spatial data collected from several sources which were derived from sample point data and geostatistical and multivariate statistical methods within a GIS environment. Data used for describing the receiving environment and for planning and evaluating monitoring schemes comprise information about land use, climate, phenology, soil coverage, species distribution and ecoregions. The case studies deal with (1) ecological land classification for characterisation of GMO-receiving environments and representative EM, (2) selection of representative sites for modelling GMO dispersal, and (3) delineation and mapping of segregation distances. Even a systematic and stepwise-structured risk assessment cannot cover all risk relevant questions, especially large-scale, long-term and combinatory effects which may not occur before the conventional application of the respective GMO. Hence, GMO EM is crucial to deal with unanticipated and undesirable effects. The article gives an overview of a GIS implementation and relevant geodata promoting GMO EM.

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“…In order to reach these decisions, the appropriate data and analyses need to be available for scrutiny at both national and EU level (e.g. Delos et al, 2007;Züghart et al, 2008;Reuter et al, 2010).…”

Section: Overall Approachmentioning

confidence: 99%

Guidance on the Post-Market Environmental Monitoring (PMEM) of genetically modified plants

Andersson¹,

Arpaia²,

Bartsch³

et al. 2011

EFSA Journal

133

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The European Commission asked the Panel on Genetically Modified Organisms of the European Food Safety Authority (EFSA GMO Panel) to update its 2006 scientific opinion on Post-Market Environmental Monitoring (PMEM) of Genetically Modified Plants (GMPs). For doing so, the EFSA GMO Panel made use of the experience gained from its assessment of applications on GMPs for cultivation and considered different sources of information such as the PMEM reports on cultivated GMPs, relevant scientific literature and stakeholders comments. This scientific opinion aims to clarify the objectives, tasks, tools and requirements for PMEM. Firsly, the present document explains the scientific rationale for PMEM, including the concept of developing management and monitoring strategies based on the overall conclusions and assumptions of the Environmental Risk Assessment. Secondly, it provides examples and guidance to applicants on how to develop and implement their plans for Case-Specific Monitoring (CSM), taking into account the case-by-case character of CSM. In addition, it provides guidance to applicants on the strategy, methodology and reporting of General Surveillance (GS). Different tools and approaches to implement a plan for GS are considered. The EFSA GMO Panel proposes a holistic and integrative approach for monitoring GMPs in the EU that considers GS within a framework of general environmental protection monitoring. Finally, the EFSA GMO Panel makes proposals to risk managers for the future conduct of PMEM in the EU and suggests that access to PMEM data could be facilitated by setting-up standardised and centralised reporting centres. This scientific opinion repeals the former 2006 scientific opinion of the EFSA GMO Panel on PMEM of GMPs.

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Information system for monitoring environmental impacts of genetically modified organisms

Cited by 19 publications

References 19 publications

The development of project monitoring information system (Case study: PT Tetapundi Prima Kelola)

The development of project monitoring information system (Case study: PT Tetapundi Prima Kelola)

Overview of principles and implementations to deal with spatial issues in monitoring environmental effects of genetically modified organisms

Guidance on the Post-Market Environmental Monitoring (PMEM) of genetically modified plants

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