Spatial analysis of fire sevetiry and its relationship with landscape configuration in savanna areas of Sempre Vivas National Park, Brazil

Revista Brasileira de Geografia Física, Journal Year: 2024, Volume and Issue: 17(3), P. 1894 - 1904

Published: May 7, 2024

Fire is a natural disturbance in the Cerrado (Brazilian savanna) but its effects on landscape are capable of altering pattern severity and frequency. Because that, some areas Biome can be dangerous National Park Sempre Vivas, Minas Gerais State. Within this context, we spatially analyzed fires during years 2003 2017 according to severity, frequency influence spatial configuration area. We used pre- post-fire Landsat satellite images calculate dNBR index analyze fire per year metrics relationship between landscape. Fire-scar was considered low, probably due density structure typical vegetation change annual precipitation. Thus, intense spread quickly if no proper control implemented.

Language: Английский

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Learning from wildfires: A scalable framework to evaluate treatment effects on burn severity

Ecosphere, Journal Year: 2024, Volume and Issue: 15(12)

Published: Dec. 1, 2024

Abstract Interruption of frequent burning in dry forests across western North America and the continued impacts anthropogenic climate change have resulted increases fire size severity compared to historical regimes. Recent legislation, funding, planning emphasized increased implementation mechanical thinning prescribed treatments decrease risk undesirable ecological social outcomes due fire. As wildfires continue interact, managers require consistent approaches evaluate treatment effectiveness at moderating burn severity. In this study, we present a repeatable, remote sensing–based, analytical framework for conducting fire‐scale assessments that informs local management while also supporting cross‐fire comparisons. We demonstrate on 2021 Bootleg Fire Oregon Schneider Springs Washington. Our used (1) machine learning identify key bioclimatic, topographic, weather drivers each fire, (2) standardized workflows statistically sample untreated control units, (3) spatial regression modeling effects type time since The application our showed that, both fires, recent were most effective reducing relative controls. contrast, thinning‐only only produced low/moderate‐severity under more moderate conditions Fire. offers robust approach evaluating scale individual which can be scaled up assess multiple fires. brings uncertainty forest ecosystems America, support strategic actions reduce wildfire foster resilience.

Language: Английский

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On the issue of restoration of forest areas damaged by fires

Forestry Engineering Journal, Journal Year: 2024, Volume and Issue: 14(1), P. 54 - 80

Published: June 20, 2024

The article discusses the issues of restoration forest areas damaged by fires. Forest fires cause not only environmental, but also material damage. If it is almost impossible to compensate for environmental damage caused ingress combustion products into atmosphere, then restoring resources a feasible task. Currently, same technologies are used reforestation in fire-damaged and burnt as sites after deforestation. However, their efficiency, taking account natural industrial conditions, often at highest level. aggravation problem necessitates use highly effective domestic methods technical means purpose this study determine level development modern In course patent information search analysis scientific literature, plantations were studied, collected was analyzed. effectiveness mulch working body preliminary preparation area disturbed noted.

Language: Английский

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Pre- and post-fire forest structure and composition photo-interpreted data for four sub-watersheds in Eastern Washington, USA

Forest Service Research Data Archive, Journal Year: 2020, Volume and Issue: unknown

Published: Dec. 22, 2020

This archive contains research data collected and/or funded by Forest Service Research and Development (FS R&D), U.S. Department of Agriculture. It is a resource for accessing both short long-term FS R&D data, which includes Experimental Range data. way to preserve share the quality science our researchers.

Language: Английский

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