Impact of Forest Fire on the Movement Routes of Sumatran Elephants (Elephas maximus sumatranus) in Way Kambas National Park

Forest fires are defined as a condition in which a forest experiences fires that cause damage to the forest and the natural resources in it. This study aims to determine the effect of forest fires on the movement routes of Sumatran elephants (Elephas maximus sumatranus) in Way Kambas National Park using hotspot monitoring and via GPS Collar. This study was conducted from December 2024 to February 2025, observing elephant movement patterns before, during, and after the fire. The data shows the number of hotspots, with 23 points in 2021, 27 points in 2022 and increasing to 93 points in 2023. Data analysis was carried out using Kernel Density Estimation (KDE) and Minimum Convex Polygon (MCP) to see the elephant movement areas and fires. The results of this study show that elephants avoid active fire areas, but return to burnt areas after the fire is extinguished, especially to look for food such as young reeds. The Ceria group has the highest tendency to be in former fire areas with moderate intensity at KD 50% 1,285 ha and KD 95% 6,785 ha. Meanwhile, other groups tend to explore less former fire areas Temporally, elephants will be active in former fire areas with a short duration (0–90 days). However, this trait is temporary, because elephants will return to look for more stable and safe habitats.

Authors

Institutions

Publication Details

Journal
Jurnal Sylva Scienteae
Published
2025-08-30
DOI
https://doi.org/10.20527/jss.v8i4.15311
Primary Topic
Human-Animal Interaction Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Forest Fire on the Movement Routes of Sumatran Elephants (Elephas maximus sumatranus) in Way Kambas National Park

Bainah Sari Dewi, Arief Darmawan, Fadil Utama Wijaya, Sectionov Sectionov
Jurnal Sylva Scienteae
Human-Animal Interaction Studies
article

Impact of Forest Fire on the Movement Routes of Sumatran Elephants (Elephas maximus sumatranus) in Way Kambas National Park

Bainah Sari Dewi, Arief Darmawan, Fadil Utama Wijaya, Sectionov Sectionov
article en

Abstract

Forest fires are defined as a condition in which a forest experiences fires that cause damage to the forest and the natural resources in it. This study aims to determine the effect of forest fires on the movement routes of Sumatran elephants (Elephas maximus sumatranus) in Way Kambas National Park using hotspot monitoring and via GPS Collar. This study was conducted from December 2024 to February 2025, observing elephant movement patterns before, during, and after the fire. The data shows the number of hotspots, with 23 points in 2021, 27 points in 2022 and increasing to 93 points in 2023. Data analysis was carried out using Kernel Density Estimation (KDE) and Minimum Convex Polygon (MCP) to see the elephant movement areas and fires. The results of this study show that elephants avoid active fire areas, but return to burnt areas after the fire is extinguished, especially to look for food such as young reeds. The Ceria group has the highest tendency to be in former fire areas with moderate intensity at KD 50% 1,285 ha and KD 95% 6,785 ha. Meanwhile, other groups tend to explore less former fire areas Temporally, elephants will be active in former fire areas with a short duration (0–90 days). However, this trait is temporary, because elephants will return to look for more stable and safe habitats.

Jurnal Sylva ScienteaeVol. 8(4)
Lampung University (ID)
Openalex Percentile: Top 73%
Human-Animal Interaction Studies
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.