Optimal allocation model of forest fire detection towers in protected areas based on fire occurrence risk: Where and how to act?

Author:

Ramalho Antonio Henrique Cordeiro1ORCID,Fiedler Nilton Cesar2,dos Santos Alexandre Rosa3ORCID,Juvanhol Ronie Silva4ORCID,Pelúzio Telma Machado de Oliveira5ORCID,Dias Henrique Machado2ORCID,Pereira Reginaldo Sérgio6ORCID,Maffioletti Fernanda Dalfior2ORCID,Araújo Jâmille Silva2,Aragão Mariana de Aquino2,Guanaes Gabriel Madeira da Silva2ORCID,Biazatti Leonardo Duarte2ORCID,Lucas Fernanda Moura Fonseca2ORCID

Affiliation:

1. Federal University of the South and Southeast of Pará/UNIFESSPA, Institute of Xingu Studies, Faculty of Forestry; Allotment Cidade nova, Lot n 1, QD 15, sector 15 Av. Norte Sul, 68380-000, São Félix do Xingu, PA, Brazil

2. Federal University of Espírito Santo/UFES, Department of Forestry and Wood Sciences; Av. Governador Lindemberg, 316, 29550-000, Jerônimo Monteiro, ES, Brazil

3. Federal University of Espírito Santo/UFES, Rural Engineering Department, Alto Universitário; s/n 29500-000, Alegre, ES, Brazil

4. Federal University of Piauí/UFPI, Department of Forestry Engineering, Bom Jesus municipal highway—Viana, Km 01, 64900-00, Bom Jesus, PI, Brazil

5. Federal Institute of Espírito Santo, Campus Alegre, BR 482, km 7, CEP 29500-000, Alegre/Rive, ES, Brazil

6. University of Brasilia, Faculty of Technology (EFL), Darcy Ribeiro University Campus, Faculty of Technology, Department of Forestry, Brasília, DF—Brazil

Abstract

Forest fire detection towers are crucial in supporting rapid firefighting actions in conservation units and thus reducing environmental, social, and economic damages. Thus, the aim was to evaluate scenarios for optimal allocation of forest fire detection towers, according to the risk of occurrence, in the Caparaó National Park, Brazil. Thus, by geotechnological analysis, the areas most susceptible to forest fires and the optimal locations for installation of detection and monitoring for these events were delimited. To run the proposed models, biological, physical, socioeconomic, and meteorological variables were used. From the application of the methodologies, it was observed that 76.70% of the study area was covered by low, moderate, and shallow fire risk classes, while high and very high-risk classes were concentrated in the buffer zone. The scenario with 45 towers was considered the most advantageous, given that they presented viewing levels above 70% and a lower cost per hectare viewed than the scenario with 48 towers. Results showed no critical risks of fire occurrence within the conservation unit, but preventive measures are still needed to avoid fire spread, particularly near the buffer zone. The study's methodologies can be applied in other areas to improve forest fire prevention and control efforts.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

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