GielenAcostaAltimirEtAl2018

Référence

Gielen, B., Acosta, M., Altimir, N., Buchmann, N., Cescatti, A., Ceschia, E., Fleck, S., Hörtnagl, L., Klumpp, K., Kolari, P., Lohila, A., Loustau, D., Maraon-Jimenez, S., Manise, T., Matteucci, G., Merbold, L., Metzger, C., Moureaux, C., Montagnani, L., Nilsson, M.B., Osborne, B., Papale, D., Pavelka, M., Saunders, M., Simioni, G., Soudani, K., Sonnentag, O., Tallec, T., Tuittila, E.-S., Peichl, M., Pokorny, R., Vincke, C. and Wohlfahrt, G. (2018) Ancillary vegetation measurements at ICOS ecosystem stations. International Agrophysics, 32(4):645-664. (Scopus )

Résumé

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. © 2018 Bert Gielen et al., published by Sciendo 2018.

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@ARTICLE { GielenAcostaAltimirEtAl2018,
    AUTHOR = { Gielen, B. and Acosta, M. and Altimir, N. and Buchmann, N. and Cescatti, A. and Ceschia, E. and Fleck, S. and Hörtnagl, L. and Klumpp, K. and Kolari, P. and Lohila, A. and Loustau, D. and Maraon-Jimenez, S. and Manise, T. and Matteucci, G. and Merbold, L. and Metzger, C. and Moureaux, C. and Montagnani, L. and Nilsson, M.B. and Osborne, B. and Papale, D. and Pavelka, M. and Saunders, M. and Simioni, G. and Soudani, K. and Sonnentag, O. and Tallec, T. and Tuittila, E.-S. and Peichl, M. and Pokorny, R. and Vincke, C. and Wohlfahrt, G. },
    TITLE = { Ancillary vegetation measurements at ICOS ecosystem stations },
    JOURNAL = { International Agrophysics },
    YEAR = { 2018 },
    VOLUME = { 32 },
    NUMBER = { 4 },
    PAGES = { 645-664 },
    NOTE = { cited By 2 },
    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. © 2018 Bert Gielen et al., published by Sciendo 2018. },
    AFFILIATION = { Department of Biology, University of Antwerp, Universiteitsplein 1B 2610, Belgium; Global Change Research Institute, Czech Academy of Sciences, Bělidla 4a, Brno, 603 00, Czech Republic; Forest Sciences Centre of Catalonia, Carretera de St. Llorenç de Morunys Km 2, Solsona, 25280, Spain; Department of Environmental System Sciences, Institute of Agricultural Sciences, ETH Zurich, Universitaetsstrasse 2, Zurich, 8092, Switzerland; European Commission, Joint Research Center, Institute for Environment and Sustainability, Ispra, I-50 21027, Italy; Center for the Study of the Biosphere from Space, UMR 5126 CNES/CNRS/IRD/INRA/UPS, 18 avenue Edouard Belin bpi 2801, Toulouse, 31401, France; Thuenen Institute of Forest Ecosystems, Alfred-Möller-Strasse 1 Haus 41/42, Eberswalde, 16225, Germany; Grassland Ecosystem Unite, INRA, VetAgro-Sup, 5 Chemin de Beaulieu, Clermont-Ferrand, 63000, France; Department of Physics, University of Helsinki, P.O. Box 68, Helsinki, 00014, Finland; Finnish Meteorological Institute, P.O. Box 503, Helsinki, 00101, Finland; INRA, UMR 1391 ISPA, Villenave d'Ornon, F-33140, France; Department of Applied Physics, University of Granada, Granada, 18071, Spain; AGROBIOCHEM Research Unit, Gembloux Agro-Bio Tech, University of Liege, Gembloux, B-5030, Belgium; Institute for Agriculture and Forestry Systems in the Mediterranean ISAFoM, Italian National Research Council, Via Patacca 85, Ercolano, Italy; Mazingira Centre, International Livestock Research Institute (ILRI), PO Box 30709, Nairobi, 00100, Kenya; Institute of Meteorology and Climate Research-Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstraße 19, Garmisch-Partenkirchen, 82467, Germany; TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, 33 University of Liege, Gembloux, B-5030, Belgium; Faculty of Science and Technology, Free University of Bolzano, Piazza Universita' 1, Bolzano, 39100, Italy; Forest Services, Autonomous Province of Bolzano, Via Brennero 6, Bolzano, 39100, Italy; Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, SE-90183, Sweden; UCD School of Biology and Environmental Science, UCD Earth Institute, University College Dublin, Belfield Dublin, Ireland; Department for Innovation in Biological Agro-food and Forest Systems, University of Tuscia, Viterbo, Italy; School of Natural Sciences, Trinity College Dublin, College Green, D2, Dublin, Ireland; INRA, UR 629 Ecologie des Forêts Méditerranêennes, URFM, Avignon Cedex, CS 40509-89914, France; Ecologie Systématique Evolution, Univ. Paris-Sud, Université Paris-Saclay, Orsay, 91400, France; Department of Geography, University of Montreal, Montreal, QC, Canada; School of Forest Sciences, University of Eastern Finland, P.O. Box 111, Joensuu, 80770, Finland; Earth and Life Institute, Catholic University of Louvain, 1348, Louvain-la-Neuve, Belgium; Institute of Ecology, University of Innsbruck, Sternwartestrasse 15, Innsbruck, 6020, Austria; Centre for Ecological Research and Forestry Applications (CREAF), Global Ecology Unit, Bellaterra, Barcelona, Spain },
    AUTHOR_KEYWORDS = { above-ground biomass; Green Area Index; ICOS; litter biomass; protocol },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1515/intag-2017-0048 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059565013&doi=10.1515%2fintag-2017-0048&partnerID=40&md5=8ccc61cf55f24b0e648ee2a05411fa81 },
}

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