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PANGAEA - Data from Long-term Ecological Research @ AWI (LTER)
Citation
Contact:
Alfred Wegener Institute for Polar- and Marine Research (AWI), more
Availability: This dataset is licensed under a Creative Commons Attribution 4.0 International License.
Description
This dataset contains data from the Long Term Ecological Research (LTER) Project at AWI. These data are derived from PANGAEA. more
This dataset contains data from the Long Term Ecological Research (LTER) Project at AWI. These data are derived from PANGAEA. Rationale of the LTER Project: "The future has already arrived; it just isn't evenly distributed" (W. Gibson) This is exactly our problem with the response of ecosystems to long-term trends in climate and environment. Owing to ecosystem complexity and variability in space and time, the phenomena we deal with are either long term in their dynamics, or episodic, rare, complex or subtle in their occurrence and/or manifestation. Only long-term studies, combined with experimental approaches, can reveal ecosystem dynamics, patterns and control processes. Hence, long-term research is essential to make and justify management and policy decisions regarding the protection of ecosystems and the maintenance of ecosystem services, particularly in times of potentially rapid climate change. Objectives of the LTER Project:
This dataset contains data from the Long Term Ecological Research (LTER) Project at AWI. These data are derived from PANGAEA. Rationale of the LTER Project: "The future has already arrived; it just isn't evenly distributed" (W. Gibson) This is exactly our problem with the response of ecosystems to long-term trends in climate and environment. Owing to ecosystem complexity and variability in space and time, the phenomena we deal with are either long term in their dynamics, or episodic, rare, complex or subtle in their occurrence and/or manifestation. Only long-term studies, combined with experimental approaches, can reveal ecosystem dynamics, patterns and control processes. Hence, long-term research is essential to make and justify management and policy decisions regarding the protection of ecosystems and the maintenance of ecosystem services, particularly in times of potentially rapid climate change. Objectives of the LTER Project:
- To continue/establish time series of relevant and representative ecological parameters at different levels of ecosystem organisation.
- To create well documented databases and archives of samples and specimens that are accessible to the scientific community.
- To analyze these time series for trends and cycles by means of modern analytical and modelling approaches.
- To relate the observed patterns to external forcing factors on regional and global scales by means of empirical and mechanistic models.
- To establish a cause-and-effect understanding of these relationships by analytical and experimental approaches.
- To model future ecological developments based on the observed relationships between forcing factors and ecological parameters.
- To provide knowledge to the broader scientific community, general public, resource managers, and policy makers to address complex environmental challenges.
- the Helgoland Roads plankton time series (one station, daily since 1962),
- the German Bight soft bottom zoobenthos time series (two stations, bi-annual, since 1969)
Scope
Themes:
Biology > Benthos
Keywords:
Marine/Coastal, Data, Marine Genomics, ANE, Germany, German Bight, ANE, Germany, Helgoland, ANE, Wadden Sea, EurOBIS calculated BBOX
Geographical coverage
ANE, Germany, German Bight [Marine Regions]
ANE, Germany, Helgoland [Marine Regions]
ANE, Wadden Sea [Marine Regions]
EurOBIS calculated BBOX Stations
Bounding Box
Coordinates: MinLong: 6,9863; MinLat: 54,0822 - MaxLong: 8,1763; MaxLat: 55,1682 [WGS84]
Coordinates: MinLong: 6,9863; MinLat: 54,0822 - MaxLong: 8,1763; MaxLat: 55,1682 [WGS84]
Temporal coverage
2004 - 2008
Contributors
Alfred Wegener Institute for Polar- and Marine Research (AWI), more, data manager, data creator, data owner
Related datasets
URLs
Dataset status: In Progress
Data type: Data
Data origin: Data collection
Metadatarecord created: 2010-12-09
Information last updated: 2011-01-06