http://www.cnr.it/ontology/cnr/individuo/prodotto/ID13329
Evaluation of the Advanced Canopy Atmosphere Soil Algorithm (ACASA) model performance over Mediterranean maquis ecosystem (Articolo in rivista)
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- Evaluation of the Advanced Canopy Atmosphere Soil Algorithm (ACASA) model performance over Mediterranean maquis ecosystem (Articolo in rivista) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.agrformet.2011.02.004 (literal)
- Alternative label
Marras S., Pyles R.D., Sirca C., Paw U K.T., Snyder R.L., Duce P., Spano D. (2011)
Evaluation of the Advanced Canopy Atmosphere Soil Algorithm (ACASA) model performance over Mediterranean maquis ecosystem
in Agricultural and forest meteorology (Print); Elsevier BV, Amsterdam (Paesi Bassi)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Marras S., Pyles R.D., Sirca C., Paw U K.T., Snyder R.L., Duce P., Spano D. (literal)
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- http://ac.els-cdn.com/S0168192311000566/1-s2.0-S0168192311000566-main.pdf?_tid=23f916bc-c645-11e4-bcb5-00000aab0f27&acdnat=1425896278_9bf43ac852908b1871d77a3f413a7d42 (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- DESA, Dipartimento di Economia e Sistemi Arborei, Università di Sassari
DLAWR, Department of Land, Air and Water Resources, Davis, University of California, Davis, CA, USA
CMCC, Euro-Mediterranean Centre for Climate Change, IAFENT Division, Sassari, Italy (literal)
- Titolo
- Evaluation of the Advanced Canopy Atmosphere Soil Algorithm (ACASA) model performance over Mediterranean maquis ecosystem (literal)
- Abstract
- The Advanced CanopyAtmosphereSoil Algorithm (ACASA) model is used to predict energy, water and carbon fluxes over a Mediterranean maquis site located in North-Western Sardinia (Italy) and the model performance is evaluated. Flux simulations are compared with Eddy Covariance field measurements collected from 2004 to 2007. The site experiences a drought season during the summer months in which the vegetation becomes water stressed. Results from the months of January, April, and July are analyzed
to demonstrate the model behavior in different environmental conditions. In general, simulated and observed fluxes matched when both the thermal and moisture regime are optimal. During the July water stress period the model underestimated latent heat and carbon fluxes due to a strong stress response linked to soil properties and plant physiological haracteristics. The selection of values for key parameters, e.g. maximum ideal photosynthetic capacity (RUBISCO), wilting point, soil water content, and root and leaf area ratio, is crucial to obtain close agreement between simulated and observed fluxes. The model was designed so that the most sensitive parameters are measurable quantities. Using the ACASA model to predict energy and mass fluxes between the vegetation and atmosphere appears promising in this context, and it could significantly improve our ability to estimate fluxes for use in future studies. (literal)
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