Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil

Joint Authors

White, Larissa Alves Secundo
White, Benjamin Leonardo Alves
Ribeiro, Genésio Tâmara

Source

International Journal of Forestry Research

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-07-02

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Agriculture

Abstract EN

A Forest Fire Danger Index is a valuable tool in forest fire prevention and firefight because it grades fire occurrence possibility on a daily basis.

Six Fire Danger Indexes were tested for accuracy based on forest fire occurrence in eucalyptus plantations of the north coast of Bahia, Brazil.

They are Angstron, Nesterov, Telicyn Logarithmic Index, Monte Alegre, Rodríguez and Moretti, and Modified Monte Alegre.

The results were analyzed using two parameters of the Heidke Skill Score test: Skill Score index and Percentage of Success.

The Telicyn Logarithmic Index proved to be the most accurate for the study area.

American Psychological Association (APA)

White, Larissa Alves Secundo& White, Benjamin Leonardo Alves& Ribeiro, Genésio Tâmara. 2015. Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil. International Journal of Forestry Research،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1065966

Modern Language Association (MLA)

White, Larissa Alves Secundo…[et al.]. Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil. International Journal of Forestry Research No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1065966

American Medical Association (AMA)

White, Larissa Alves Secundo& White, Benjamin Leonardo Alves& Ribeiro, Genésio Tâmara. Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil. International Journal of Forestry Research. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1065966

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1065966