http://www.cnr.it/ontology/cnr/individuo/prodotto/ID13293
Validating an integrated strategy to model net land carbon exchange against aircraft flux measurements (Articolo in rivista)
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- Validating an integrated strategy to model net land carbon exchange against aircraft flux measurements (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
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- Fabio Maselli; Beniamino Gioli; Marta Chiesi; Francesco Primo Vaccari; Alessandro Zaldei; Luca Fibbi; Marco Bindi; Francesco Miglietta; (literal)
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- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Fabio Maselli 1; Beniamino Gioli 1; Marta Chiesi 1; Francesco Primo Vaccari 1; Alessandro Zaldei 1; Luca Fibbi 1; Marco Bindi 2; Francesco Miglietta 1;
1 IBIMET-CNR, Via Madonna del Piano 10, 50019 Sesto Fiorentino (FI), Italy
2 DISAT-Università di Firenze, P.le delle Cascine 18, 50145 Firenze, Italy (literal)
- Titolo
- Validating an integrated strategy to model net land carbon exchange against aircraft flux measurements (literal)
- Abstract
- Aircraft eddy covariance technique is a modern and powerful means to directly measure net ecosystem
exchange (NEE) over relatively large land areas. The NEE measurements taken by a specifically developed
aircraft platform (Sky Arrow ERA) over a transect in Central Italy during an 18-month period are used to
validate a recently proposed modeling strategy. The strategy is based on the integration of the outputs from a
NDVI-driven parametric model, C-Fix, and a model of ecosystem processes, BIOME-BGC, and can simulate
both gross and net land carbon fluxes over different spatial and temporal scales. The application of this
strategy to 1-km resolution ground and remotely sensed data descriptive of the study area enables the
production of NEE estimates comparable to the aircraft measurements. The agreement between the two data
series is high, especially when averaging the modeling outputs over areas consistent with the Sky Arrow
footprint (i.e. 1-2 pixels apart from the flight line). Fractional forest cover and NDVI are the two model
driving variables which explain most spatial variability of the aircraft NEE measurements. The modeling
strategy yields the best performances for spring-summer seasons, when vegetation photosynthetic and
respiratory processes are higher and easier to simulate. These performances are finally commented with
specific emphasis on the contribution brought by remote sensing information. (literal)
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