Wildfire Risk Assessment in Ambato, Ecuador: Drought Impacts, Fuel Dynamics, and Wildland–Urban Interface Vulnerability

Fire, Год журнала: 2025, Номер 8(4), С. 130 - 130

Опубликована: Март 27, 2025

Wildfires represent an increasing threat to ecosystems and communities, driven by climate change, fuel dynamics, human activities. In Ambato, Ecuador, a city in the Andean highlands, these risks are exacerbated prolonged droughts, vegetation dryness, urban expansion into fire-prone areas within Wildland–Urban Interface (WUI). This study integrates climatic, ecological, socio-economic data from 2017 2023 assess wildfire risks, employing advanced geospatial tools, thematic mapping, machine learning models, including Multinomial Logistic Regression (MLR), Random Forest, XGBoost. By segmenting area 1 km2 grid cells, microscale risk variations were captured, enabling classification five categories: ‘Very Low’, ‘Low’, ‘Moderate’, ‘High’, High’. Results indicate that temperature anomalies, reduced moisture, anthropogenic factors such as waste burning unregulated land-use changes significantly increase fire susceptibility. Predictive models achieved accuracies of 76.04% 77.6% (Random Forest), 76.5% (XGBoost), effectively identifying high-risk zones. The highest-risk found Izamba, Pasa, San Fernando, where over 884.9 ha burned between 2023. year 2020 recorded most severe season (1500 burned), coinciding with extended droughts COVID-19 lockdowns. Findings emphasize urgent need for enhanced regulations, improved firefighting infrastructure, community-driven prevention strategies. research provides replicable framework assessment, applicable other regions beyond. integrating data-driven methodologies policy recommendations, this contributes evidence-based mitigation resilience planning climate-sensitive environments.

Язык: Английский

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Integrating regional forest productivity maps with supplemental data to optimize forest management priority: A case study in Ibiza (Spain)

Journal of Environmental Management, Год журнала: 2025, Номер 381, С. 125221 - 125221

Опубликована: Апрель 6, 2025

Язык: Английский

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Simulated fire observables as indicators for optimizing wireless sensor networks in wildfire risk monitoring

Ecological Indicators, Год журнала: 2025, Номер 175, С. 113509 - 113509

Опубликована: Май 17, 2025

Язык: Английский

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Simulated Fire Observables as Indicators for Optimizing Wireless Sensor Networks in Wildfire Risk Monitoring

Опубликована: Янв. 1, 2024

Язык: Английский

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