Optimizing the Portuguese wildfire fuel reduction program

Cell Reports Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100361 - 100361

Published: March 1, 2025

Language: Английский

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FireXplainNet: Optimizing Convolution Block Architecture for Enhanced Wildfire Detection and Interpretability

Electronics, Journal Year: 2024, Volume and Issue: 13(10), P. 1881 - 1881

Published: May 11, 2024

The early detection of wildfires is a crucial challenge in environmental monitoring, pivotal for effective disaster management and ecological conservation. Traditional methods often fail to detect fires accurately timely manner, resulting significant adverse consequences. This paper presents FireXplainNet, Convolutional Neural Network (CNN) base model, designed specifically address these limitations through enhanced efficiency precision wildfire detection. We optimized data input via specialized preprocessing techniques, significantly improving accuracy on both the Wildfire Image FLAME datasets. A distinctive feature our approach integration Local Interpretable Model-agnostic Explanations (LIME), which facilitates deeper understanding trust model’s predictive capabilities. Additionally, we have delved into optimizing pretrained models transfer learning, enriching analysis offering insights comparative effectiveness FireXplainNet. model achieved an 87.32% dataset 98.70% dataset, with inference times 0.221 0.168 milliseconds, respectively. These performance metrics are critical application real-time fire systems, underscoring potential FireXplainNet monitoring strategies.

Language: Английский

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Will fire-smart landscape management buffer the effects of climate and land-use changes on fire regimes?

Ecological Processes, Journal Year: 2024, Volume and Issue: 13(1)

Published: Aug. 1, 2024

Abstract Background Long-term farmland abandonment has increased fuel build-up in many Euro-Mediterranean mountainous regions. The high hazard these landscapes, combined with ongoing climate change, is increasing the frequency of extreme wildfires, thus altering contemporary fire regimes. Mitigating loss landscape’s capacity to regulate large and intense fires crucial prevent future harmful effects fires. As such, effective strategies manage fire-prone landscapes are needed. Yet, further understanding their performance under global change scenarios required. This study assessed fire-smart management on landscape dynamics, regulation (FRC), regime a Mediterranean Portugal (30,650 ha) undergoing long-term land scenarios. For that, we applied LANDIS-II model (RCP 4.5 8.5) (2020–2050) according three focused prevention compared business-as-usual (BAU) strategy based suppression. Results Future activity dynamics resulted changes that fostered heterogeneity fragmentation favoured fire-adapted forests agroforestry systems while decreasing dominance shrublands croplands. FRC decreased over time, particularly RCP 8.5 BAU strategy. In turn, better prevented than strategy, but effectiveness 8.5. burned area frequency, which predicts shift from regimes more markedly Conclusions Fire-smart outperformed averting current intensification. Merging forest- silvopasture-based most promising approach taming activity. Our underlines planning policies mountain must integrate decrease buffer impact

Language: Английский

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Optimizing fuel treatments for community wildfire mitigation planning

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122325 - 122325

Published: Sept. 6, 2024

Language: Английский

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Sustaining altitude pastures in mountain landscapes–a fuzzy cognitive model approach

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 931, P. 172930 - 172930

Published: May 1, 2024

Similarly to other European mountain areas, in Serra da Estrela the grazing pressure has been reducing due social and economic drivers that have pushed shepherds sheep foothill, or plainly out of sector. Shrub encroachment on commons previously grazed land is one most tangible effects pastoral abandonment de Estrela. The impacts resulting increase landscape continuity biomass availability were made clear severe fires 2017 2022. As fire risk likely with climate change, it becomes urgent understand what strategies can be deployed keep fragmentation these landscapes. Key actors such as should involved this discussion their perceptions, points view reasons for abandoning upland pastures. In study, we use fuzzy cognitive mapping identify key variables mechanisms affecting system according local shepherds. our developed stakeholders a framework outlining system. Based that, carried collecting 14 questionnaires. We found shepherds' income central issue, but highly dependent many factors. Increasing Common Agricultural Policy payments alone not enough incentivise More targeted strategies, more support shrub clearing, direct conditional transhumance are impactful. Despite contentious discourse between conservation shepherding values Estrela, find shepherd's aligned biodiversity potential nature-based solution minimizing through woody fuel management. This opens up possibilities new governance put Estrela's social, environmental cultural at its core.

Language: Английский

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Fire Vulnerability, Resilience, and Recovery Rates of Mediterranean Pine Forests Using a 33-Year Time Series of Satellite Imagery

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(10), P. 1718 - 1718

Published: May 13, 2024

The modification of fire regimes and their impact on vegetation recovery, soil properties, fuel structure are current key research areas that attempt to identify the thresholds vegetation’s susceptibility wildfires. This study aimed evaluate vulnerability Mediterranean pine forests (Pinus halepensis Mill. Pinus pinaster Aiton) wildfires, analyzing two major forest fires occurred in Yeste (Spain) 1994 2017, affecting over 14,000 3200 hectares, respectively. Four recovery regions were identified based severity—calculated using delta Normalized Burn Ratio (dNBR) index—and recurrence: with high severity 2017 but not (UB94-HS17), (HS94-UB17), both (HS94-HS17), unaffected by either (UB94-UB17). analysis focused examining patterns three spectral indices—the Difference Vegetation Index (NDVI), Moisture (NDMI), (NBR)—using Google Earth Engine platform from 1990 2023. Additionally, Relative Recovery Indicator (RRI), Eighty Percent (R80P), Year-on-Year average (YrYr) metrics computed assess rates region. These indices showed similar dynamic responses fire. However, Mann–Kendall unit root statistical tests revealed NDVI NDMI exhibited distinct trends, particularly recurrence (HS94-HS17). outperformed NBR distinguishing variations among regions. results suggest accelerated regrowth short term. Capacity After Fire (VRAF) index values low moderate, while Vulnerability (V2FIRE) medium across all findings enhance our understanding how recovers vulnerable it is

Language: Английский

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Spatiotemporal patterns and drivers of extreme fire severity in Spain for the period 1985–2018

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 358, P. 110185 - 110185

Published: Oct. 9, 2024

Language: Английский

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Analysis of green deal communication on twitter: environmental and political perspective

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: May 16, 2024

The Green Deal and its implementation are generating discussions across society. Changes brought about by the agreement could impact sustainable development worldwide; therefore, identifying most common Deal-related topics on a global scale can offer insight into public mood around of agreement. Social networks provide opportunity to find such because they contain large amount data produced users worldwide: analysis their content therefore discourse identify sentiment in this topic. In article, we present perceptions main based communication Twitter social network (currently X network). Using search terms “green deal,” “greendeal,” “#greendeal,” 192,567 tweets from 89,328 unique were captured between 1 January 2019 31 March 2023. We identified 40 used hashtags that people when communicating Deal, which included “#EU,” “#eugreendeal,” “#climatechange,” 16 relevant discussed relation both European (“European Deal”) North American (“Green New perspectives. Each topic was associated with certain negative, positive, or neutral sentiment: positive “Industrial plan” “Hydrogen” topics, negative relating “Joe Biden” “Alexandria Ocasio-Cortez.” Overall, our regarding offers organizations decision-makers how perceive different aspects related topics. This may be beneficial tackling disinformation increasing awareness, create society better equipped face concern climate change.

Language: Английский

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Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 940, P. 173568 - 173568

Published: May 31, 2024

The increasing threat of high-severity wildfires in Mediterranean Wildland-Urban Interface (WUI) areas demands to develop effective fire risk assessment and management strategies. Simultaneously, the newfound accessibility spaceborne hyperspectral data represents a significant potential for generating severity assessments, whereas National Forest Inventories (NFI) offer vast dataset related vegetation fuel loads, which is essential shaping planning strategies forest services. This research work aims advance state-of-the-art WUI mapping western Basin by combining PRISMA Spanish NFI data. proposed methodology had three main stages: (i) at local scale (a wildfire) using Multi-Endmember Spectral Mixture Analysis (MESMA) leveraging field-based measurements Composite Burn Index (70 plots); (ii) development high probability map regional from extrapolation Random predictive model calibrated estimates, topo-climatic variables (overall accuracy = 92 %; Kappa 0.8); (iii) identification characterization zones that concentrate WUIs with if event occurs (hot-spot WUIs) crossing information previous cartography developed scale. Study area was Castilla y León Autonomous Region (larger region, 94,226 km

Language: Английский

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Plant fire-adaptive traits mediate long-term fire recurrence impact on the potential supply capacity of ecosystem services and their resilience

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121662 - 121662

Published: July 4, 2024

Language: Английский

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