http://www.cnr.it/ontology/cnr/individuo/prodotto/ID13051

A fuel dryness index for grassland fire-danger assessment (Articolo in rivista)

Type

Articolo in rivista (Classe)
Prodotto della ricerca (Classe)

Label

A fuel dryness index for grassland fire-danger assessment (Articolo in rivista) (literal)

Anno

2006-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

10.1016/j.agrformet.2006.05.006 (literal)

Alternative label

Richard L. Snyder; Donatella Spano; Pierpaolo Duce; Dennis Baldocchi; Liukang Xu; Kyaw Tha Paw U (2006)
A fuel dryness index for grassland fire-danger assessment
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

Richard L. Snyder; Donatella Spano; Pierpaolo Duce; Dennis Baldocchi; Liukang Xu; Kyaw Tha Paw U (literal)

Pagina inizio

1 (literal)

Pagina fine

11 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

http://scienceserver.cilea.it/pdflinks/12032217230919436.pdf (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

139 (literal)

Rivista

Agricultural and forest meteorology (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

11 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

1-2 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

A fuel dryness index (Fd) based on biophysical principles associated with energy exchange is presented and applied to monitor fuel moisture content for annual grasslands. (literal)

Note

Scopu (literal)
ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

- University of California, Atmospheric Science, Davis, CA, United States - Università di Sassari, Dipartimento di Economia e Sistemi Arborei, DESA, Sassari, Italy - Consiglio Nazionale delle Ricerche, Istituto di Biometeorologia, Sassari, Italy - University of California, Department of Environmental Science, Policy and Management, Berkeley, CA, United States - Licor, Inc., Lincoln, NE, United States - University of California, Atmospheric Science, Davis, CA, United States (literal)

Titolo

A fuel dryness index for grassland fire-danger assessment (literal)

Abstract

The assessment of fuel moisture content on a large spatial scale requires several observations and estimates and is often time consuming and costly due to labour and transportation expenses. Therefore, various models based on empirical functions of weather variables have been developed and applied to determine the amount of moisture in fuel. In this paper, a fuel dryness index (Fd) based on biophysical principles associated with energy exchange is presented and applied to monitor fuel moisture content for annual grasslands. Daily values of Fd were determined as the ratio of sensible heat flux density to the available energy using high-frequency temperature data and the surface renewal (SR) method in combination with net radiation and soil heat flux values. The SR method was evaluated by comparing with sensible and latent heat flux densities from eddy covariance data measured in a fire-vulnerable annual grassland. The Fd values and trends were compared with three well-known slow response fire-danger indices including the Keetch-Byram drought index, two modified versions of the drought factor in the McArthur forest fire-danger meter, and the fast response fine fuel moisture code of the Canadian fire weather index. Moreover, Fd index was compared with the McArthur grassland fire-danger meter. The Fd index was more responsive to daily changes than most of the other indices, providing accurate information on fuel dryness condition of a live vegetation grassland. In addition, it can potentially eliminate the need for calibrated empirical weather models and fuel stick measurements. (literal)

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