Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe´s terrestrial ecosystems: a review
Research infrastructures play a key role in launching a new generation of integrated long-term, geographically distributed observation programmes designed to monitor climate change, better understand its impacts on global ecosystems, and evaluate possible mitigation and adaptation strategies. The pa...
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Veröffentlicht in: | International Agrophysics 2018, Vol.32, p.439 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Research infrastructures play a key role in launching
a new generation of integrated long-term, geographically distributed
observation programmes designed to monitor climate
change, better understand its impacts on global ecosystems,
and evaluate possible mitigation and adaptation strategies. The
pan-European Integrated Carbon Observation System combines
carbon and greenhouse gas (GHG; CO2, CH4, N2O, H2O) observations
within the atmosphere, terrestrial ecosystems and oceans.
High-precision measurements are obtained using standardised
methodologies, are centrally processed and openly available in
a traceable and verifiable fashion in combination with detailed
metadata. The Integrated Carbon Observation System ecosystem
station network aims to sample climate and land-cover variability
across Europe. In addition to GHG flux measurements,
a large set of complementary data (including management practices,
vegetation and soil characteristics) is collected to support
the interpretation, spatial upscaling and modelling of observed
ecosystem carbon and GHG dynamics. The applied sampling
design was developed and formulated in protocols by the scientific
community, representing a trade-off between an ideal dataset
and practical feasibility. The use of open-access, high-quality and
multi-level data products by different user communities is crucial
for the Integrated Carbon Observation System in order to achieve
its scientific potential and societal value. |
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ISSN: | 0236-8722 2300-8725 |
DOI: | 10.1515/intag-2017-0039 |