Development, Implementation and Application of the WebGIS MossMet

Pesch, Roland; Schmidt, Günther; Schröder, Winfried; Aden, Christian; Kleppin, Lukas; Holy, Marcel

doi:10.1007/978-1-84628-827-2_18

Cited by 8 publications

(2 citation statements)

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“…Based on these relations, predictions in time and space become possible as well as the characterisation of the receiving environment in terms of ecoregions [13][14][15][16][17][18]. In the context of GMP dispersal, cluster analysis can be used to integrate measurement data from different meteorological networks with different coverage in a GIS environment for defining representative climatic regions.…”

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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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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“…Implementing spatial queries can be conducted through static web pages or via a web-server setup with database management at the back end, but the flexibility of these multifunctional systems and access to them may be limited by economic factors and time constraints when commercial desktop mapping software is used. Some of the economic constraints, particularly for government and educational institutions, can be overcome through open-source products (Pesch et al, 2007), though for non-UN members (such as Taiwan) access to open-source products may be difficult.…”

Section: Introductionmentioning

confidence: 99%

Framework and Use Case for a Web-Based Interactive Analysis Tool to Investigate Urban Expansion and Sustainable Development Goal Indicators

Tsai¹,

Gasselt²

2023

giforum

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Land cover changes have been mapped for decades to investigate urban expansion patterns. Under the UN Sustainable Development Goals (SDGs), several indices are employed to interpret urban growth trends quantitatively and comprehensively. However, landowners and the interested public usually have limited insights into these types of information as access to data and software is limited. Static maps and the inability to access special file formats increase the difficulty of viewing and investigating the data. This contribution presents a dedicated, interactive, web-based analysis tool for integrating land cover and land use maps as well as urban expansion indices. The tool's concept, development and functionality are presented, and its general design is reviewed based on an actual implementation case. The setup allows integrating land use and land cover (LULC) change data alongside SDG indicators. The tool's design aims to enhance user accessibility to information on urban expansion indices and LULC. We demonstrate that such a tool can be used to help disseminate results and to improve communication with the public in the context of other use cases.

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Umstrukturierung des deutschen Moos‐Monitoring‐Messnetzes für eine regionalisierte Abschätzung atmosphärischer Deposition in terrestrische Ökosysteme

Nickel

Schröder

2017

Handbuch Der Umweltwissenschaften

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Development, Implementation and Application of the WebGIS MossMet

Cited by 8 publications

References 0 publications

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

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

Framework and Use Case for a Web-Based Interactive Analysis Tool to Investigate Urban Expansion and Sustainable Development Goal Indicators

Umstrukturierung des deutschen Moos‐Monitoring‐Messnetzes für eine regionalisierte Abschätzung atmosphärischer Deposition in terrestrische Ökosysteme

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