Modelling the forest carbon budget of a Mediterranean region through the integration of ground and satellite data (Articolo in rivista)

Type
Label
  • Modelling the forest carbon budget of a Mediterranean region through the integration of ground and satellite data (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Alternative label
  • Fabio Maselli; Marta Chiesi; Marco Moriondo; Luca Fibbi; Marco Bindi; Steven W. Running; (2009)
    Modelling the forest carbon budget of a Mediterranean region through the integration of ground and satellite data
    in Ecological modelling
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Fabio Maselli; Marta Chiesi; Marco Moriondo; Luca Fibbi; Marco Bindi; Steven W. Running; (literal)
Pagina inizio
  • 330 (literal)
Pagina fine
  • 342 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 220 (literal)
Rivista
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Fabio Maselli 1; Marta Chiesi 1; Marco Moriondo 2; Luca Fibbi 1; Marco Bindi 2; Steven W. Running 3; 1 IBIMET-CNR, Via Madonna del Piano 10, Sesto Fiorentino 50019 (FI), Italy 2 DISAT-University of Florence, P.le delle Cascine 18, Firenze 50145 (FI), Italy 3 NTSG-Dept. of Ecosystem Sciences, University of Montana, Missoula, MT 59812, USA (literal)
Titolo
  • Modelling the forest carbon budget of a Mediterranean region through the integration of ground and satellite data (literal)
Abstract
  • This paper introduces an innovative modelling strategy aimed at simulating the main terms of net forest carbon budget (net primary production, NPP and net ecosystem exchange, NEE) in Tuscany (Central Italy). The strategy is based on the preliminary calibration and application of parametric and bio-geochemical models (C-Fix and BIOME-BGC, respectively), which simulate the behaviour of forest ecosystems close to equilibrium condition (climax). Next, the ratio of actual over-potential tree volume is computed as an indicator of ecosystem distance from climax and is combined with the model outputs to estimate the NPP and NEE of real forests. The per-pixel application of the new modelling strategy was made possible by the collection of several data layers (maps of forest type and volume, daily meteorological data and monthly normalized difference vegetation index (NDVI) images for the years 1999–-2003) which served to characterize the eco-climatic and forest features of the region. The obtained estimates of forest NPP and NEE were evaluated against ground measurements of accumulated woody biomass and net carbon exchange. The results of these experiments testify the good potential of the proposed strategy and indicate some problem areas which should be the subject of future research. (literal)
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