Forest Fire Risk Mapping and Its Impact on Biodiversity Conservation

Forest fires are a severe danger to biodiversity because they result in the destruction of habitats, the displacement of species, and uneven distribution of ecosystem components. The purpose of this research is to investigate the use of Geographic Information Systems (GIS) and Remote Sensing (RS) in the mapping of forest fire risk in order to improve biodiversity conservation efforts. The identification of high-risk fire zones and the analysis of the possible impact that these zones could have on flora and fauna are accomplished by the integration of satellite imagery, climate data, and topography variables. In addition to highlighting the need for early warning systems and sustainable land management methods, the research underscores the significance that fire risk modelling has in proactive conservation planning. The findings highlight the significance of geospatial technologies in reducing the negative effects of forest fires and developing conservation policies that are driven by data.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.18496643
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forest Fire Risk Mapping and Its Impact on Biodiversity Conservation

Sushant Das, Sharon Moses, Neeraj Emanuel Eusebius
Zenodo (CERN European Organization for Nuclear Research)
Fire effects on ecosystems
article

Forest Fire Risk Mapping and Its Impact on Biodiversity Conservation

Sushant Das, Sharon Moses, Neeraj Emanuel Eusebius
article en

Abstract

Forest fires are a severe danger to biodiversity because they result in the destruction of habitats, the displacement of species, and uneven distribution of ecosystem components. The purpose of this research is to investigate the use of Geographic Information Systems (GIS) and Remote Sensing (RS) in the mapping of forest fire risk in order to improve biodiversity conservation efforts. The identification of high-risk fire zones and the analysis of the possible impact that these zones could have on flora and fauna are accomplished by the integration of satellite imagery, climate data, and topography variables. In addition to highlighting the need for early warning systems and sustainable land management methods, the research underscores the significance that fire risk modelling has in proactive conservation planning. The findings highlight the significance of geospatial technologies in reducing the negative effects of forest fires and developing conservation policies that are driven by data.

Zenodo (CERN European Organization for Nuclear Research)
St. John's College of Nursing (US)
Life in Land
Openalex Percentile: Top 31%
Fire effects on ecosystems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Forest Fire Risk Mapping and Its Impact on Biodiversity Conservation — Sushant Das, Sharon Moses, et al. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS