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Submitted
Dec 16, 2024
Accepted
Aug 10, 2025
Published
Nov 3, 2025
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Habitat Suitability Modeling of Drummer Rail (Habroptila wallacii) on Halmahera Island, Indonesia
Corresponding Author(s) : Septianto Aldiansyah
septiantoaldiansyah863@gmail.com
Jurnal Ilmu Kehutanan,
Vol 19 No 2 (2025): September
Abstract
Drummer Rail (Habroptila wallacii) is a bird species of the Rallidae family with limited ecology and behavior information. The information on the distribution of H. wallacii in Halmahera Island is crucial as it is classified as a vulnerable species. Therefore, this research aims to predict the potential distribution of H. wallacii on Halmahera Island using the Maximum Entropy (MaxEnt) modeling method, which projects species distributions based on presence data and environmental variables. A total of 47 data points on H. wallacii encounters were obtained from open-access data sources and field observation. The variables used were land use land cover (LULC), normalized difference vegetation index (NDVI), elevation, slope, and proximity data (river). The results showed that 33.52% of the area was very suitable for H. wallacii habitat, 32.97% was suitable, and 33.50% was unsuitable. Approximately 29.39% of the suitable habitat was located in limited-production forest areas, while conservation areas covered only 5.19%. These results suggested the need to review spatial planning policies to increase protection of the natural habitat of the species. The results could serve as considerations and recommendations for the Ministry of Environment and Forestry regarding the future management of forest areas for these species.
Keywords
Forest function
Habroptila wallacii
Halmahera Island
Habitat suitability
MaxEnt
Aldiansyah, S., Madani, I., Risna, R., & Saputra, R. A. (2025). Habitat Suitability Modeling of Drummer Rail (Habroptila wallacii) on Halmahera Island, Indonesia. Jurnal Ilmu Kehutanan, 19(2), 170-179. https://doi.org/10.22146/jik.v19i2.18437
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References
- Aldiansyah S, Mannesa MDM, Supriatna S. 2021. Monitoring of Vegetation Cover Changes with Geomorphological Forms using Google Earth Engine in Kendari City. Jurnal Geografi Gea 21:159–170.
- Aldiansyah S, Risna R. 2023. Assessing potential habitat suitability of vulnerable endemic species: a case study of Diospyros celebica Bakh and Rhyticeros cassidix. Forum geografic XXII:159–169. Universitaria Craiova.
- Aldiansyah S, Risna, Saputra RA. 2024. Assessing Potential Distributions of Bird Endemic Species: Case Studies of Macrocephalon maleo and Rhyticeros cassidix and Their Threats. Geomatics and Environmental Engineering 18:45–61.
- Aldiansyah S, Saputra RA. 2023. Comparison of Machine Learning Algorithms for Land Use and Land Cover Analysis Using Google Earth Engine (Case Study: Wanggu Watershed). International Journal of Remote Sensing and Earth Sciences (IJReSES) 19:197.
- Aryanti NA, Susilo TSSD, Ningtyas AN, Rahmadana M. 2021. Pemodelan Spasial Kesesuaian Habitat Elang Jawa (Nisaetus bartelsi) di Taman Nasional Bromo Tengger Semeru (Spatial Modeling of Javan Hawk-Eagle (Nisaetus bartelsi) Habitat Suitability in Bromo Tengger Semeru National Park). Jurnal Sylva Lestari 9:179–189.
- Badan Informasi Geospasial. 2023. Geoportal BIG.
- Baker DJ, Maclean IMD, Gaston KJ. 2024. Effective strategies for correcting spatial sampling bias in species distribution models without independent test data. Diversity and Distributions 30:e13802
- Bashari H. 2012. Survei Avifauna di Dalam Kawasan Taman Nasional Aketajawe Lolobata, Halmahera, Maluku Utara. Bogor.
- Bashari H, van Balen B. 2011. First breeding record of the Drummer Rail Habroptila wallacii. BirdingASIA 15:20–22.
- Birdbase. 2011. Invisible Rail Habroptila wallacii. Japan.
- BirdLife International. 2016, October 1. Habroptila wallacii: BirdLife International.
- Chen X, Liang Y, Feng X. 2024. Influence of model complexity, training collinearity, collinearity shift, predictor novelty and their interactions on ecological forecasting. Global Ecology and Biogeography 33:371–384.
- Collar NJ. 2009. Pioneer of Asian ornithology: Gerd Heinrich. BirdingASIA 11:33–40.
- Crego RD, Stabach JA, Connette G. 2022. Implementation of species distribution models in Google Earth Engine. Diversity and Distributions 28:904–916.
- de Araujo Barbosa V, Graham SE, Hogg ID, Smith BJ, McGaughran A. 2025. A Landscape Genetics Approach Reveals Species‐Specific Connectivity Patterns for Stream Insects in Fragmented Habitats. Ecology and Evolution 15.
- del Hoyo J, Elliott A, Sargatal J, Christie DA, de Juana E. 2013. Rails, Gallinules and Coots. Handbook of the Birds of the World Alive. Lynx Edicions, Barcelona.
- Dimara PA, Purwanto RH, Sunarta S. 2021. The spatial distribution of sago palm landscape Sentani watershed in Jayapura District, Papua Province, Indonesia. Biodiversitas Journal of Biological Diversity 22.
- Elith J et al. 2020. Presence-only and Presence-absence Data for Comparing Species Distribution Modeling Methods. Biodiversity Informatics 15:69–80.
- Garcia-R JC, Matzke NJ. 2021. Trait-dependent dispersal in rails (Aves: Rallidae): Historical biogeography of a cosmopolitan bird clade. Molecular Phylogenetics and Evolution 159:107106.
- GBIF. 2024. GBIF Occurrence Download
- Giri MS, Munawir A, Sundawiati A, Sodahlan ME, Prasetyo Y, Nugrahareni HW, Kurniawan H, Rinekso AJ, Rahman DA. 2023. Habitat Suitability Modeling of Javan Slow Loris (Nycticebus javanicus) in the Forest Cluster of Gunung Halimun Salak. Jurnal Manajemen Hutan Tropika (Journal of Tropical Forest Management) 29:119–126.
- Griffiths HM, Bardgett RD, Louzada J, Barlow J. 2016. The value of trophic interactions for ecosystem function: dung beetle communities influence seed burial and seedling recruitment in tropical forests. Proceedings of the Royal Society B: Biological Sciences 283:20161634.
- Hanski I. 2015. Habitat fragmentation and species richness. Journal of Biogeography 42:989–993.
- Heinrich G. 1956. Biologische Aufzeichnungen über Vögel von Halmahera und Batjan. Journal für Ornithologie 97:31–40.
- Hooftman DAP, Edwards B, Bullock JM. 2016. Reductions in connectivity and habitat quality drive local extinctions in a plant diversity hotspot. Ecography 39:583–592.
- Kawajiri K, Ishiyama N, Miura K, Terui A, Sueyoshi M, Nakamura F. 2021. The Relative Effects of Biotic and Abiotic Factors on the Recruitment of Freshwater Mussels (Margaritifera laevis). Water 13:1289.
- Konowalik K, Nosol A. 2021. Evaluation metrics and validation of presence-only species distribution models based on distributional maps with varying coverage. Scientific Reports 11:1482.
- Lazagabaster IA, Thomas CD, Spedding J V., Ikram S, Solano‐Regadera I, Snape S, Bro‐Jørgensen J. 2024. Evaluating species distribution model predictions through time against paleozoological records. Ecology and Evolution 14.
- Lissovsky AA, Dudov S V. 2021. Species-Distribution Modeling: Advantages and Limitations of Its Application. 2. MaxEnt. Biology Bulletin Reviews 11:265–275.
- Maarif F, Basoka MuhD, Santoso AR, Sitinjak RN. 2024. Modelling the habitat suitability of rattan (Calamus zollingeri) in Lore Lindu National Park, Central Sulawesi. Jurnal Penelitian Kehutanan Wallacea 13:33–42.
- Montes-Rojas A, Delgado-Morales NAJ, Escucha RS, Siabatto LC, Link A. 2024. Recovering connectivity through restoration corridors in a fragmented landscape in the magdalena river’s valley in Colombia. Biodiversity and Conservation 33:3171–3185.
- Moore HA, Michael DR, Dunlop JA, Valentine LE, Cowan MA, Nimmo DG. 2022. Habitat amount is less important than habitat configuration for a threatened marsupial predator in naturally fragmented landscapes. Landscape Ecology 37:935–949.
- Ongky O, Mustari AH, Prasetyo LB. 2025. Habitat suitability modeling for anoa (Bubalus spp.) in Mountain Sojol Nature Reserve, Central Sulawesi, Indonesia. Biodiversitas Journal of Biological Diversity 26.
- Owens G, Gracanin A, Potts J, Young CM, Heinsohn R, Gibbons P, Stojanovic D. 2024. Detection and density estimation for a cryptic species. Austral Ecology 49.
- Owusu B. 2019. An Introduction to Line Transect Sampling and Its Applications. Department of Mathematical Sciences Montana State University, Bozeman.
- Phillips SJ, Anderson RP, Schapire RE. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190:231–259.
- Renjana E et al. 2022. Assessing potential habitat suitability of parasitic plant: A case study of Rafflesia arnoldii and its host plants. Global Ecology and Conservation 34:e02063.
- Roberts MO, Jacobson RB, Erwin SO. 2022. Hydraulics of freshwater mussel habitat in select reaches of the Big River, Missouri. Scientific Investigations Report.
- Sabaruddin B, Kurniawan A, Arif N. 2024. Deforestation Trends and Drivers in Central Halmahera Regency. Jurnal Wasian 11:15–19.
- Schartel TE, Cao Y. 2024. Background selection complexity influences Maxent predictive performance in freshwater systems. Ecological Modelling 488:110592.
- Song L, Estes L. 2023. itsdm: Isolation forest‐based presence‐only species distribution modelling and explanation in R. Methods in Ecology and Evolution 14:831–840.
- Støa B, Halvorsen R, Mazzoni S, Gusarov VI. 2018. Sampling bias in presence-only data used for species distribution modelling: theory and methods for detecting sample bias and its effects on models. Sommerfeltia 38:1–53.
- Tamario C, Tibblin P, Degerman E. 2022. Ecological marginality and recruitment loss in the globally endangered freshwater pearl mussel. Journal of Biogeography 49:1793–1804.
- Thompson C, Gonsalves L, Law B, Banks PB. 2025. Assessing the detectability of a cryptic arboreal marsupial by using a novel survey approach. Australian Mammalogy 47.
- Valavi R, Guillera‐Arroita G, Lahoz‐Monfort JJ, Elith J. 2022. Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code. Ecological Monographs 92.
- Vetter J. 2009, May. Impacts of Deforestation on the Conservation Status of Endemic Birds in the North Maluku Endemic Bird Area from 1990-2003. Duke University, Durham, Carolina Utara, Amerika.
- Worku EA, Evangelista PH, Atickem A, Bekele A, Bro‐Jørgensen J, Stenseth NChr. 2024. Modeling habitat suitability for the lesser‐known populations of endangered mountain nyala ( Tragelaphus buxtoni ) in the Arsi and Ahmar Mountains, Ethiopia. Ecology and Evolution 14.
- Yates KL et al. 2018. Outstanding Challenges in the Transferability of Ecological Models. Trends in Ecology & Evolution 33:790–802.
- Ylisirniö A-L, Mönkkönen M, Hallikainen V, Ranta-Maunus T, Kouki J. 2016. Woodland key habitats in preserving polypore diversity in boreal forests: Effects of patch size, stand structure and microclimate. Forest Ecology and Management 373:138–148.
- Zhang J, Jiang F, Li G, Qin W, Li S, Gao H, Cai Z, Lin G, Zhang T. 2019. Maxent modeling for predicting the spatial distribution of three raptors in the Sanjiangyuan National Park, China. Ecology and Evolution 9:6643–6654.
- Zhao L, Gao R, Liu J, Liu L, Li R, Men L, Zhang Z. 2023. Effects of Environmental Factors on the Spatial Distribution Pattern and Diversity of Insect Communities along Altitude Gradients in Guandi Mountain, China. Insects 14:224.