Habitat Suitability Modeling of the Maleo Bird in Gorontalo Using MaxEnt

Habitat suitability information is needed to support Maleo (Macrocephalon maleo) conservation in Gorontalo. This study explored the spatial pattern of potential habitat suitability using Maximum Entropy (MaxEnt) and field observations. Species-presence data described in the study were combined with environmental and land-cover information, including QuickBird imagery (2024), Landsat 8 imagery (2025), and the National Digital Elevation Model. Field observations focused on two nesting localities, Maleo Village and Tulabolo–Hungayono. The available preliminary map was interpreted into three proposed management categories: Core Zone I, Core Zone II, and Buffer Zone. The map suggests relatively suitable areas near Tulabolo–Hungayono and a different landscape context around Maleo Village. These categories constitute an initial spatial interpretation rather than validated conservation zones. The manuscript does not provide occurrence-sample counts, numerical model evaluation, predictor importance, class thresholds, or area estimates. Accordingly, the map should not be interpreted as a verified estimate of occupancy probability, habitat change, or ecological connectivity. Further reporting of MaxEnt outputs and independent field validation is required before operational conservation priorities can be established.

Authors

Publication Details

Journal
JURNAL BIOLOGI TROPIS
Published
2026-10-28
DOI
https://doi.org/10.29303/jbt.v26i4.12924
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Habitat Suitability Modeling of the Maleo Bird in Gorontalo Using MaxEnt

Daud Yusuf, Sri Maryati, Haikal Monginsi, Sri Candrawati Langago
JURNAL BIOLOGI TROPIS
Species Distribution and Climate Change
article

Habitat Suitability Modeling of the Maleo Bird in Gorontalo Using MaxEnt

Daud Yusuf, Sri Maryati, Haikal Monginsi, Sri Candrawati Langago
article en

Abstract

Habitat suitability information is needed to support Maleo (Macrocephalon maleo) conservation in Gorontalo. This study explored the spatial pattern of potential habitat suitability using Maximum Entropy (MaxEnt) and field observations. Species-presence data described in the study were combined with environmental and land-cover information, including QuickBird imagery (2024), Landsat 8 imagery (2025), and the National Digital Elevation Model. Field observations focused on two nesting localities, Maleo Village and Tulabolo–Hungayono. The available preliminary map was interpreted into three proposed management categories: Core Zone I, Core Zone II, and Buffer Zone. The map suggests relatively suitable areas near Tulabolo–Hungayono and a different landscape context around Maleo Village. These categories constitute an initial spatial interpretation rather than validated conservation zones. The manuscript does not provide occurrence-sample counts, numerical model evaluation, predictor importance, class thresholds, or area estimates. Accordingly, the map should not be interpreted as a verified estimate of occupancy probability, habitat change, or ecological connectivity. Further reporting of MaxEnt outputs and independent field validation is required before operational conservation priorities can be established.

JURNAL BIOLOGI TROPISVol. 26(4)
Openalex Percentile: Top 4%
Species Distribution and Climate Change
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.

Laika access coming soon
Habitat Suitability Modeling of the Maleo Bird in Gorontalo Using MaxEnt — Daud Yusuf, Sri Maryati, et al. · JURNAL BIOLOGI TROPIS (2026) | TGRS Research Map | TGRS