Correlating Fire Incidents with Meteorological Variables in Dry Temperate Forest

Forests, Journal Year: 2025, Volume and Issue: 16(1), P. 122 - 122

Published: Jan. 10, 2025

Forest fires pose a significant ecological threat, particularly in the Diamer District, Gilgit-Baltistan, Pakistan, where climatic factors combined with human activities have resulted severe fire incidents. The present study sought to investigate correlation between incidence of forest and critical meteorological elements, including temperature, humidity, precipitation, wind speed, over period 25 years, from 1998 2023. We analyzed 169 recorded events, collectively burning approximately 109,400 hectares land. Employing sophisticated machine learning algorithms, Random (RF), Gradient Boosting Machine (GBM) revealed that temperature relative humidity during season, which spans May through July, are key influencing activity. Conversely, speed was found negligible impact. RF model demonstrated superior predictive accuracy compared GBM model, achieving an RMSE 5803.69 accounting for 49.47% variance burned area. This presents novel methodology risk modeling under climate change scenarios region, offering insights into management strategies. Our results underscore necessity real-time early warning systems adaptive strategies mitigate frequency intensity escalating driven by change.

Language: Английский

Visualization of Post-Fire Remote Sensing Using CiteSpace: A Bibliometric Analysis

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 592 - 592

Published: March 28, 2025

At present, remote sensing serves as a key approach to track ecological recovery after fires. However, systematic and quantitative research on the progress of post-fire remains insufficient. This study presents first global bibliometric analysis (1994–2024), analyzing 1155 Web Science publications using CiteSpace reveal critical trends gaps. The findings include following: As multi-sensor big data technologies evolve, focus is increasingly pivoting toward interdisciplinary, multi-scale, intelligent methodologies. Since 2020, AI-driven such machine learning have become hotspots continue grow. In future, more extensive time-series monitoring, holistic evaluations under compound disturbances, enhanced fire management strategies will be required addressing climate change challenge sustainability. USA, Canada, China, multiple European nations work jointly ecology technology development, but Africa, high wildfire-incidence area, currently lacks appropriate local research. Remote environment forests maintain pivotal role in scholarly impact information exchange. redefines nexus urgency social justice, demanding inclusive innovation address climate-driven regimes.

Language: Английский