First mission - towards a global harmonised in-situ data repository for forest biomass datasets validation

Schepaschenko Dmitry, Chave Jérôme, Phillips Oliver L., Davies Stuart J., Lewis Simon L., Sist Plinio, Rejou-Mechain Maxime, Perger Christoph. 2019. First mission - towards a global harmonised in-situ data repository for forest biomass datasets validation. Pesquisa Florestal Brasileira, 39, n.spéc., Résumé : p. 211. IUFRO World Congress 2019 "Forest Research and Cooperation for Sustainable Development". 25, Curitiba, Brésil, 29 September 2019/5 October 2019.

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Abstract : Global measurements of forest height, biomass are urgently needed as essential climate and ecosystem variables, but can benefit from greater co-operation between remote sensing (RS) and forest ecological communities. The Forest Observation System - FOS ( [https://forest-observation-]) is an international cooperation to establish a global in-situ forest biomass database to support earth observation and to encourage investment in relevant field-based observations and science. FOS aims to link the RS community with ecologists who measure forest biomass and estimating biodiversity in the field. The FOS aims to overcome data sharing issues and introduce a standard biomass data flow from tree-level measurement to the plot-level aggregation served in the most suitable form for the RS. Ecologists benefit from the FOS with improved access to global biomass information, data standards, gap identification and potentially improved funding opportunities to address the known gaps and deficiencies in the data. FOS closely collaborate with the CTFS-ForestGEO, the (incl. RAfNFOR, AfriTRON and T-FORCES), AusCover, TmFO and the llASA network. FOS is an open initiative with other networks and teams most welcome to join. The online database provides open access for forest plot location, canopy height and above-ground biomass. Plot size is 0.25ha or larger. Comparison of plot biomass data with available global and regional maps (incl. Kindermann et al., 2013; Thurner et al., 2013; Saatchi et al., 2011; Baccini et al., 2012; Avitabile et al., 2016; Hu et al., 2016; Santoro et al., 2018) shows wide range of uncertainties associated with biomass estimation.

Mots-clés Agrovoc : Biomasse, Arbre forestier, biomasse aérienne des arbres, Écologie forestière, Donnée climatique, Écosystème forestier, Banque de données, Télédétection

Classification Agris : K01 - Forestry - General aspects
P01 - Nature conservation and land resources
P40 - Meteorology and climatology
U30 - Research methods

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Auteurs et affiliations

  • Schepaschenko Dmitry, International Institute for Applied System Analysis (AUS)
  • Chave Jérôme, CNRS (FRA)
  • Phillips Oliver L., University of Leeds (GBR)
  • Davies Stuart J., STRI (USA)
  • Lewis Simon L., University of Leeds (GBR)
  • Sist Plinio, CIRAD-ES-UPR Forêts et sociétés (FRA)
  • Rejou-Mechain Maxime, CNRS (FRA)
  • Perger Christoph, International Institute for Applied System Analysis (AUS)

Source : Cirad-Agritrop (

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