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| Titel |
A comprehensive data acquisition and management system for an ecosystem-scale peatland warming and elevated CO2 experiment |
| VerfasserIn |
M. B. Krassovski, J. S. Riggs, L. A. Hook, W. R. Nettles, P. J. Hanson, T. A. Boden |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2193-0856
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Instrumentation, Methods and Data Systems ; 4, no. 2 ; Nr. 4, no. 2 (2015-11-09), S.203-213 |
| Datensatznummer |
250115248
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| Publikation (Nr.) |
 copernicus.org/gi-4-203-2015.pdf |
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| Zusammenfassung |
Ecosystem-scale manipulation experiments represent large science investments
that require well-designed data acquisition and management systems to
provide reliable, accurate information to project participants and third
party users. The SPRUCE project (Spruce and Peatland Responses Under
Climatic and Environmental Change, http://mnspruce.ornl.gov) is such an
experiment funded by the Department of Energy's (DOE), Office of Science,
Terrestrial Ecosystem Science (TES) Program. The SPRUCE experimental mission
is to assess ecosystem-level biological responses of vulnerable, high carbon
terrestrial ecosystems to a range of climate warming manipulations and an
elevated CO2 atmosphere. SPRUCE provides a platform for testing
mechanisms controlling the vulnerability of organisms, biogeochemical
processes, and ecosystems to climatic change (e.g., thresholds for organism
decline or mortality, limitations to regeneration, biogeochemical
limitations to productivity, and the cycling and release of CO2 and
CH4 to the atmosphere). The SPRUCE experiment will generate a wide
range of continuous and discrete measurements.
To successfully manage SPRUCE data collection, achieve SPRUCE science
objectives, and support broader climate change research, the research staff
has designed a flexible data system using proven network technologies and
software components. The primary SPRUCE data system components are the following:
1. data acquisition and control system – set of hardware and software to
retrieve biological and engineering data from sensors, collect sensor status
information, and distribute feedback to control components;
2. data collection system – set of hardware and software to deliver data
to a central depository for storage and further processing;
3. data management plan – set of plans, policies, and practices to control
consistency, protect data integrity, and deliver data.
This publication presents our approach to meeting the challenges of
designing and constructing an efficient data system for managing high volume
sources of in situ observations in a remote, harsh environmental location.
The approach covers data flow starting from the sensors and ending at the
archival/distribution points, discusses types of hardware and software used,
examines design considerations that were used to choose them, and describes
the data management practices chosen to control and enhance the value of the data. |
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