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Long-term ecological research for sustainable environmental information

dc.contributor.authorGnauck, Albrecht
dc.contributor.authorFongwa, Ernest Anye
dc.contributor.editorArndt, Hans-Knud
dc.contributor.editorKnetsch, Gerlinde
dc.contributor.editorPillmann, Werner
dc.date.accessioned2019-09-16T03:13:56Z
dc.date.available2019-09-16T03:13:56Z
dc.date.issued2012
dc.description.abstractThe management of environmental resources requires long-term data sets concerning different scientific branches and information technologies for different time horizons and spatial scales. Environmental impacts have been caused environmental changes with certain rates of change. Therefore, data collected over long periods have become high importance for environmental analysis, for predictions of environmental changes, and decision making processes for environmental management. Long-term ecological research is designed to capture the interrelationships between ongoing ecosystem developments and environmental changes. Meta-models integrate former experiences and theoretical knowledge about a system with actual information gained by natural processes, man-induced activities, and by political decisions. Because of the great variety and complexity of processes considered for environmental management and their natural or anthropogenic origins different data sets have to be combined. In the paper, some ideas are presented how to combine principles of long-term environmental research and information with short-term environmental decision making.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol7574/0331.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25965
dc.publisherShaker Verlag
dc.relation.ispartofEnviroInfo Dessau 2012, Part 1: Core Application Areas
dc.relation.ispartofseriesEnviroInfo
dc.titleLong-term ecological research for sustainable environmental informationde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2012
gi.conference.locationDessau
gi.conference.sessiontitleEnvironmental Modeling and Simulation

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