Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil
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 a...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Forestry Research |
| Online Access: | http://dx.doi.org/10.1155/2015/613736 |
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| _version_ | 1850223705300402176 |
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| author | Larissa Alves Secundo White Benjamin Leonardo Alves White Genésio Tâmara Ribeiro |
| author_facet | Larissa Alves Secundo White Benjamin Leonardo Alves White Genésio Tâmara Ribeiro |
| author_sort | Larissa Alves Secundo White |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4471ca36bd72445eb8e9ef6cf7a8978d |
| institution | OA Journals |
| issn | 1687-9368 1687-9376 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Forestry Research |
| spelling | doaj-art-4471ca36bd72445eb8e9ef6cf7a8978d2025-08-20T02:05:51ZengWileyInternational Journal of Forestry Research1687-93681687-93762015-01-01201510.1155/2015/613736613736Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, BrazilLarissa Alves Secundo White0Benjamin Leonardo Alves White1Genésio Tâmara Ribeiro2Departamento de Engenharia Florestal, Universidade Federal de Sergipe, Avenida Marechal Rondon, s/n, Rosa Elze, 49100-000 São Cristóvão, SE, BrazilLaboratório GEOPLAN, Universidade Federal de Sergipe, Avenida Marechal Rondon, s/n, Rosa Elze, 49100-000 São Cristóvão, SE, BrazilDepartamento de Engenharia Florestal, Universidade Federal de Sergipe, Avenida Marechal Rondon, s/n, Rosa Elze, 49100-000 São Cristóvão, SE, BrazilA 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.http://dx.doi.org/10.1155/2015/613736 |
| spellingShingle | Larissa Alves Secundo White Benjamin Leonardo Alves White Genésio Tâmara Ribeiro Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil International Journal of Forestry Research |
| title | Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil |
| title_full | Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil |
| title_fullStr | Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil |
| title_full_unstemmed | Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil |
| title_short | Evaluation of Forest Fire Danger Indexes for Eucalypt Plantations in Bahia, Brazil |
| title_sort | evaluation of forest fire danger indexes for eucalypt plantations in bahia brazil |
| url | http://dx.doi.org/10.1155/2015/613736 |
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