Integration of ground and satellite data to simulate forest carbon budget on regional scale (Contributo in atti di convegno)

Type
Label
  • Integration of ground and satellite data to simulate forest carbon budget on regional scale (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Fabio Maselli; Marta Chiesi; Marco Moriondo; Luca Fibbi; Marco Bindi; Steven W. Running; (2007)
    Integration of ground and satellite data to simulate forest carbon budget on regional scale
    in Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, Firenze, SEP 18-20, 2007
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Fabio Maselli; Marta Chiesi; Marco Moriondo; Luca Fibbi; Marco Bindi; Steven W. Running; (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 6742 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 12 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 674203 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (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 Florentino 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, United States (literal)
Titolo
  • Integration of ground and satellite data to simulate forest carbon budget on regional scale (literal)
Abstract
  • Simulating the main terms of forest carbon budget (GPP, NPP, NEE) is important for both scientific and practical reasons. This operation was performed for a region of Central Italy (Tuscany) by the integrated processing of ground and satellite data. Several data layers (meteorology, forest type, volume, etc.) were first collected in order to characterize the eco-climatic and forest features of the region. FAPAR estimates with 1 km resolution were obtained by processing VGT NDVI data. Relying on these data sets, monthly estimates of forest GPP were produced by means of a simplified, NDVI-based parametric model, C-Fix. These GPP estimates were used to calibrate a well known bio-geochemical model, BIOME-BGC, in order to find its best configurations for simulating all main functions (photosynthesis, respirations, allocations, etc.) of the most widespread Tuscany forest types. The calibrated versions of BIOME-BGC were then applied to produce respiration estimates for all regional forest surfaces during the study period. The obtained GPP and respiration estimates, which were referred to equilibrium conditions, were converted into the values of actual forests by applying a simplified approach which relies on the ratio of actual over potential tree volume as an indicator of forest distance from climax. The C-Fix photosynthesis estimates of actual forests were finally integrated with relevant BIOME-BGC simulated respirations in order to assess net forest carbon fluxes. (literal)
Prodotto di
Autore CNR

Incoming links:


Prodotto
Autore CNR di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
data.CNR.it