Combining optimization and fire simulation modeling to protect biodiversity values at a landscape scale

Mahaluf Recasens, Rodrigo; Carrasco, Jaime; Lison, Fulgencio; Pais, Cristobal; Miranda, Alejandro; de la Barra, Felipe; Weintraub, Andres; IEEE

Abstract

One way to mitigate the uncontrolled effect of fires and, at the same time, protect our communities and ecological values, is through forest fuel management. Theses activities constitute a means of fire prevention, involving planned changes to living or dead wildland fuels (prescribed burning, pruning, firebreaks, etc.) in order to lessen fire behaviour potential. In this study, we propose an integrated fire optimization and simulation approach to locate firebreaks on the landscape, so that the ecological damage resulting from the removal of vegetation in areas allocated to firebreaks is offset by the preservation of ecological values as a result of the treatment protective action. We use a prioritization metric -called Downstream Protection Valuethat identifies crucial cells that have a significant influence on the spread of fires in the landscape and their potential for damaging ecological values. Our solution approach was tested on a real landscape located in Araucania Region, Chile, whose wildland fuels were classified according to the chilean KITRAL fire behavior system, and with real species observations taken from Global Biodiversity Information Facility occurrence dataset.

Más información

Título según WOS: ID WOS:000946916400013 Not found in local WOS DB
Título de la Revista: 2022 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI)
Editorial: IEEE
Fecha de publicación: 2022
Página de inicio: 101
Página final: 106
DOI:

10.1109/LA-CCI54402.2022.9981527

Notas: ISI