Integration of Ground and Satellite Data to Model Mediterranean Forest Processes (Articolo in rivista)

Type
Label
  • Integration of Ground and Satellite Data to Model Mediterranean Forest Processes (Articolo in rivista) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • Marta Chiesi; Luca Fibbi; Lorenzo Genesio; Beniamino Gioli; Ramona Magno; Fabio Maselli; Marco Moriondo; Francesco Primo Vaccari; (2011)
    Integration of Ground and Satellite Data to Model Mediterranean Forest Processes
    in International journal of applied earth observation and geoinformation
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Marta Chiesi; Luca Fibbi; Lorenzo Genesio; Beniamino Gioli; Ramona Magno; Fabio Maselli; Marco Moriondo; Francesco Primo Vaccari; (literal)
Pagina inizio
  • 504 (literal)
Pagina fine
  • 515 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 13 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Marta Chiesi 1; Luca Fibbi 1; Lorenzo Genesio 1; Beniamino Gioli 1; Ramona Magno 1; Fabio Maselli 1; Marco Moriondo 1; Francesco Primo Vaccari 1; 1 IBIMET-CNR, Via Madonna del Piano 10, 50019 Sesto, Fiorentino (FI), Italy (literal)
Titolo
  • Integration of Ground and Satellite Data to Model Mediterranean Forest Processes (literal)
Abstract
  • The current work presents the testing of a modeling strategy that has been recently developed to simulate the gross and net carbon fluxes of Mediterranean forest ecosystems. The strategy is based on the use of a NDVI-driven parametric model, C-Fix, and of a biogeochemical model, BIOME-BGC, whose outputs are combined to simulate the behavior of forest ecosystems at different development stages. The performances of the modeling strategy are evaluated in three Italian study sites (San Rossore, Lecceto and Pianosa), where carbon fluxes are being measured through the eddy correlation technique. These sites are characterized by variable Mediterranean climates and are covered by different types of forest vegetation (pine wood, Holm oak forest and Macchia, respectively). The results of the tests indicate that the modeling strategy is generally capable of reproducing monthly GPP and NEE patterns in all three study sites. The highest accuracy is obtained in the most mature, homogenous pine wood of San Rossore, while the worst results are found in the Lecceto forest, where there are the most heterogeneous terrain, soil and vegetation conditions. The main error sources are identified in the inaccurate definition of the model inputs, particularly those regulating the site water budgets, which exert a strong control on forest productivity during the Mediterranean summer dry season. In general, the incorporation of NDVI-derived fAPAR estimates corrects for most of these errors and renders the forest flux simulations more stable and accurate. (literal)
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