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Wildfire - DOAJ

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Last Updated: 24 June 2022

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Improving WRF-Fire Wildfire Simulation Accuracy Using SAR and Time Series of Satellite-Based Vegetation Indices

In the WRF-Fire fuel settings, we updated the chaparral and timber standard woody fuel classes. To calculate the fuel load, we used the ESA global above-ground biomass based on SAR results, and Landsat normalized difference vegetation index trends of woody vegetation to determine the fuel moisture content. Two wildfires in Israel were simulate by three different fuel simulations: the original 13 Anderson Fire Behavior fuel model, two modified fuel models introducing AGB alone, and two modified fuel models introducing AGB alone, as well as AGB and dryness. Our findings show that combining satellite SAR data and Landsat NDVI trends can improve WRF-Fire wildfire simulations.

Source link: https://doi.org/10.3390/rs14122941


Incentives and Barriers to Homeowners’ Uptake of FireSmart ® Canada’s Recommended Wildfire Mitigation Activities in the City of Fort McMurray, Alberta

FireSmart Canada's recommended wildfire mitigation programs in Fort McMurray Alberta's Urban Service Area. The results of this paper review the findings of a survey that was done to assess homeowners' u2019 FireSmart mitigation policies and identify existing incentives and barriers to participating in FireSmart Canada's recommended wildfire mitigation efforts. The overwhelming majority of homeowners of single-family residential property owners, the vast majority of whom were impacted by the Horse River wildfire, were invited to participate in an online poll. Most of the participants reported a low to moderate wildfire danger to their homes, and/or u2018enough's sufficiency reduced the immediate threat. Although nearly half of the participants sought information about FireSmart, having information or knowledge of FireSmart did not result in widespread adoption of the suggested mitigation steps. Recommendations that can help promote positive wildfire mitigation practices are discussed.

Source link: https://doi.org/10.3390/fire5030080


Using wildfire as a management strategy to restore resiliency to ponderosa pine forests in the southwestern United States

We used simulation modeling to examine long-term trade-offs and synergies of alternative land management techniques by combining two wildfire management options with three levels of contemporary forest restoration techniques on a 778,000-square-year landscape over 56 years. We discovered that managing wildfires for resource objectives reduced the chance of irregular fire incidents over time by making wildfire fires more local. When aiming for objective wildfires alongside restoration treatments that were five times faster than the current rate, the impact of conventional restoration treatments increased by fivefold, and reconstruction goals were achieved in 25 years. This report outlines how fire suppression models can be used to predict local decision making by fire managers during simulated fire incidents to minimize risk by considering both fire proximity and risk tolerance, as well as daily weather conditions.

Source link: https://doi.org/10.1002/ecs2.4040


Targeted grazing and mechanical thinning enhance forest stand resilience under a narrow range of wildfire scenarios

We then model changes in the chance of crown fire occurrences in the Pine Ridge area of Nebraska relative to predicted crown fire occurrences when sites are left untreated. Mechanical thinning has the ability to reduce the possibility of crown fire in ponderosa pine stands to a great extent than targeted grazing. Both methods had a marginally higher chance of reducing crown fire risk in the most common wildfire danger scenarios. Grazing at two sites expected to experience crown fire under real fire conditions in all six of our wildfire risk scenarios was only expected to avoid crown fires. Nevertheless, targeted grazing coupled with mechanical thinning was supposed to prevent crown fire at approximately half of the sites where crown fire is likely to occur under normal or moderate wildfire danger conditions. No combination of targeted grazing or mechanical thinning has been able to reduce the risk of crown fire under the most likely to wildfire threat scenarios, according to Wildfire's most likely to result, relying solely on vertical thinning and targeted grazing is unlikely to sufficiently improve forest stands' withstandability under future wildfire conditions.

Source link: https://doi.org/10.1002/ecs2.4061


Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network

For reliable results, the monitoring and mapping of the burned area by traditional and common methods is time-consuming and difficult, but it is essential to propose an advanced burned area detection framework for getting accurate results. The multi-patch multi-level residual morphological blocks are the key part of the Burnt-Net's decoder portion, although the encoder portion uses the multi-level residual morphological and transpose convolution layers. Burnt-Net's latest wildfires in several countries were discovered and tested based on their designs, which was used to measure their effectiveness. In addition, the most common deep learning-based strategy for comparing the results of burned areas by the new Burnt-Net was also implemented. The Burnt-Net is reliable in the detection of fires in the detection of burned areas, and it has a mean accuracy of more than 99% by total accuracy, according to the results of burned areas mapping.

Source link: https://doi.org/10.1016/j.ecolind.2022.108999


Soil bacterial assemblage responses to wildfire in low elevation southern California habitats.

Understanding how wildfires and plant assemblages influence soil bacteria assemblages is a significant step in understanding how these disturbances can influence ecosystem structure and function. We sampled soil from three study sites previously interviewed in spring 2016 and 2017 and compared soil bacterial populations prior to and six months after the 2018 Woolsey Fire in the Santa Monica Mountain National Recreation Area used Illumina sequencing of the 16S rRNA gene. Plant composition changes in plant compositions are expected to have legacy impacts on these soils that persist even after a fire, as sage scrub and non-native grasslands routinely harbored unique bacterial colonies both before and after the fire. Because direct effects of fire are limited, but indirect consequences, e. g. , plant composition changes, are significant, plant restoration efforts following a fire should strive to revet sage scrub areas to prevent legacy changes in bacterial composition.

Source link: https://doi.org/10.1371/journal.pone.0266256


Invasion of annual grasses following wildfire corresponds to maladaptive habitat selection by a sagebrush ecosystem indicator species

Several species of wildlife species living in semi-arid shrubland forests throughout western North America's eastern North America are losing habitat and fragmentation. Greater sage-grouse are an indicator of sagebrush habitat health and have suffered with widespread population decline as a result of habitat destruction and depletion, as well as changes in predator populations. We used a hierarchical Bayesian modeling framework to determine resource selection results and survival for early and late brood-rearing stages of sage-grouse in relation to a variety of habitat traits that were measured at various geographic scales in the Great Basin from 2009 to 2019. Both early and late broods were also found in previously burned areas, but survival in burned areas decreased as annual grass cover increased.

Source link: https://doi.org/10.1016/j.gecco.2022.e02147

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions