http://www.cnr.it/ontology/cnr/individuo/prodotto/ID13028
Modelling carbon budget of Mediterranean forests using ground and remote sensing measurements. (Articolo in rivista)
- Type
- Label
- Modelling carbon budget of Mediterranean forests using ground and remote sensing measurements. (Articolo in rivista) (literal)
- Anno
- 2005-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.agrformet.2005.09.011 (literal)
- Alternative label
Marta Chiesi; Fabio Maselli; Marco Bindi; Luca Fibbi; Paolo Cherubini; Enrica Arlotta; Giampiero Tirone; Giorgio Matteucci; Guenther Seufert; (2005)
Modelling carbon budget of Mediterranean forests using ground and remote sensing measurements.
in Agricultural and forest meteorology (Print); ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, AMSTERDAM (Paesi Bassi)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Marta Chiesi; Fabio Maselli; Marco Bindi; Luca Fibbi; Paolo Cherubini; Enrica Arlotta; Giampiero Tirone; Giorgio Matteucci; Guenther Seufert; (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
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- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Marta Chiesi 1; Fabio Maselli 1; Marco Bindi 2; Luca Fibbi 1; Paolo Cherubini 3,4; Enrica Arlotta 2; Giampiero Tirone 5; Giorgio Matteucci 6; Guenther Seufert 6;
1 IBIMET-CNR, Via Madonna del Piano, 10-50019 Sesto Fiorentino, Italy
2 DISAT--University of Florence, P.le delle Cascine 18 Firenze, Italy
3 WSL, Swiss Federal Research Institute, Birmensdorf, Switzerland
4 Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
5 Universita` della Tuscia, Viterbo, Italy
6 Joint Research Centre of the European Union, Ispra (Varese), Italy (literal)
- Titolo
- Modelling carbon budget of Mediterranean forests using ground and remote sensing measurements. (literal)
- Abstract
- The current paper illustrates a method to operationally apply the model FOREST-BGC for the estimation of forest carbon fluxes
in Mediterranean environments. The work was carried out in a pine forest stand within the coastal area of San Rossore (Central
Italy) using both conventionally collected and remotely sensed data. The calibration of the model was performed using estimates of
net primary productivity (NPP) derived from the carbon accumulated in the forest stems during the last four decades. Such estimates
were obtained by transforming dendrochronological measurements collected in the stand into annual increments of woody biomass
and carbon matter. Next, the model performance was validated against values of net ecosystem exchange (NEE) and gross primary
productivity (GPP) collected during four years (1999-2002) by an eddy covariance flux tower. A method based on deriving fraction
of photosynthetically active radiation (FAPAR) from remotely sensed normalised difference vegetation index (NDVI) data was also
calibrated and validated in order to more directly assess forest GPP. The results achieved indicate that the multi-year calibration
against past carbon accumulation was essential in properly configuring the model in terms of respiration and allocation functions.
Due to the importance of these functions, only the calibrated model was in fact able to correctly simulate the forest carbon fluxes,
giving monthly estimates of both NEE and GPP quite close to those measured by the flux tower. These estimates were further
improved by the proper integration of remotely sensed GPP evaluation and model carbon partitioning, which could be particularly
useful for operational monitoring applications on a regional scale. (literal)
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