International Agrophysics, Volume 32, Issue 4


Anthology ID:
G18-146
Month:
Year:
2018
Address:
Venue:
GWF
SIG:
Publisher:
Walter de Gruyter GmbH
URL:
https://gwf-uwaterloo.github.io/gwf-publications/G18-146
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Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review
Daniela Franz | Manuel Acosta | Núria Altimir | Nicola Arriga | Dominique Arrouays | Marc Aubinet | Mika Aurela | Edward Ayres | Ana López‐Ballesteros | Mireille Barbaste | Daniel Berveiller | Sébastien Biraud | Hakima Boukir | Thomas S. Brown | Christian Brümmer | Nina Buchmann | George Burba | Arnaud Carrara | A. Cescatti | Éric Ceschia | Robert Clement | Edoardo Cremonese | Patrick Crill | Eva Dařenová | Sigrid Dengel | Petra D’Odorico | Gianluca Filippa | Stefan Fleck | Gerardo Fratini | Roland Fuß | Bert Gielen | Sébastien Gogo | J. Grace | Alexander Graf | Achim Grelle | Patrick Gross | Thomas Grünwald | Sami Haapanala | Markus Hehn | Bernard Heinesch | Jouni Heiskanen | Mathias Herbst | Christine Herschlein | Lukas Hörtnagl | Koen Hufkens | Andreas Ibrom | Claudy Jolivet | Lilian Joly | Michael B. Jones | Ralf Kiese | Leif Klemedtsson | Natascha Kljun | Katja Klumpp | Pasi Kolari | Olaf Kolle | Andrew S. Kowalski | Werner L. Kutsch | Tuomas Laurila | Anne De Ligne | Sune Linder | Anders Lindroth | Annalea Lohila | Bernhard Longdoz | Ivan Mammarella | Tanguy Manise | Sara Marañón-Jiménez | Giorgio Matteucci | Matthias Mauder | Philip Meier | Lutz Merbold | Simone Mereu | Stefan Metzger | Mirco Migliavacca | Meelis Mölder | Leonardo Montagnani | Christine Moureaux | David D. Nelson | Eiko Nemitz | Giacomo Nicolini | Mats Nilsson | Maarten Op de Beeck | Bruce Osborne | Mikaell Ottosson Löfvenius | Marián Pavelka | Matthias Peichl | Olli Peltola | Mari Pihlatie | Andrea Pitacco | Radek Pokorný | Jukka Pumpanen | Céline Ratié | Corinna Rebmann | Marilyn Roland | Simone Sabbatini | Nicolas Saby | Matthew Saunders | Hans Peter Schmid | Marion Schrumpf | Pavel Sedlák | Penélope Serrano-Ortiz | Lukas Siebicke | Ladislav Šigut | Hanna Silvennoinen | Guillaume Simioni | Ute Skiba | Oliver Sonnentag | Kamel Soudani | Patrice Soulé | R. Steinbrecher | Tiphaine Tallec | Anne Thimonier | Eeva‐Stiina Tuittila | Juha‐Pekka Tuovinen | Patrik Vestin | Gaëlle Vincent | Caroline Vincke | Domenico Vitale | Peter Waldner | Per Weslien | Lisa Wingate | Georg Wohlfahrt | M. S. Zahniser | Timo Vesala

Abstract 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; CO 2 , CH 4 , N 2 O, H 2 O) 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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Ancillary vegetation measurements at ICOS ecosystem stations
Bert Gielen | Manuel Acosta | Núria Altimir | Nina Buchmann | A. Cescatti | Éric Ceschia | Stefan Fleck | Lukas Hörtnagl | Katja Klumpp | Pasi Kolari | Annalea Lohila | Denis Loustau | Sara Marañón-Jiménez | Tanguy Manise | Giorgio Matteucci | Lutz Merbold | Christine Metzger | Christine Moureaux | Leonardo Montagnani | Mats Nilsson | Bruce Osborne | Dario Papale | Marián Pavelka | Matthew Saunders | Guillaume Simioni | Kamel Soudani | Oliver Sonnentag | Tiphaine Tallec | Eeva‐Stiina Tuittila | Matthias Peichl | Radek Pokorný | Caroline Vincke | Georg Wohlfahrt

Abstract The Integrated Carbon Observation System is a Pan-European distributed research infrastructure that has as its main goal to monitor the greenhouse gas balance of Europe. The ecosystem component of Integrated Carbon Observation System consists of a multitude of stations where the net greenhouse gas exchange is monitored continuously by eddy covariance measurements while, in addition many other measurements are carried out that are a key to an understanding of the greenhouse gas balance. Amongst them are the continuous meteorological measurements and a set of non-continuous measurements related to vegetation. The latter include Green Area Index, aboveground biomass and litter biomass. The standardized methodology that is used at the Integrated Carbon Observation System ecosystem stations to monitor these vegetation related variables differs between the ecosystem types that are represented within the network, whereby in this paper we focus on forests, grasslands, croplands and mires. For each of the variables and ecosystems a spatial and temporal sampling design was developed so that the variables can be monitored in a consistent way within the ICOS network. The standardisation of the methodology to collect Green Area Index, above ground biomass and litter biomass and the methods to evaluate the quality of the collected data ensures that all stations within the ICOS ecosystem network produce data sets with small and similar errors, which allows for inter-comparison comparisons across the Integrated Carbon Observation System ecosystem network.