Population Assessment of Sulawesi’s Endangered Snoring Rails (Aramidopsis plateni Blasius) in Gandang Dewata National Park

Alexander Kurniawan Sariyanto Putera(1), Yusrianto Nasir(2), Rusmidin Rusmidin(3), Nuruliawati Nuruliawati(4), Alex J. Berryman(5),


(1) Biology Education Study Program, Faculty of Teacher Training and Education, Universitas Sulawesi Barat, Indonesia
(2) Biology Education Study Program, Faculty of Teacher Training and Education, Universitas Sulawesi Barat, Indonesia
(3) Forestry Study Program, Faculty of Agriculture and Forestry, Universitas Sulawesi Barat, Indonesia
(4) University of Warwick, Coventry, United Kingdom
(5) BirdLife International, David Attenborough Building, Pembroke Street, Cambridge, United Kingdom

Abstract

This study focuses on assessing the critically endangered mandar dengkur, or snoring rails (Aramidopsis plateni Blasius 1886), within Indonesia's Gandang Dewata National Park. Despite its importance in regional biodiversity, the species remains poorly documented. The primary objectives of this research are to investigate the population and ecological role of the mandar dengkur in Gandang Dewata National Park. It aims to understand their population status, the factors influencing their survival, and the level of global threats facing this species. Field surveys from July to August 2023 employed point counts and interviews with local residents, revealing a population of 20 snoring rails. Tondok Bakaru was identified as the primary subpopulation, with the highest count and probability of occurrence. Tondok Bakaru, characterized by remote and isolated areas, plays a crucial role in snoring rails' survival, mirrored by discoveries of other sensitive species like the Anoa. Environmental variables analysis through Generalized Linear Modeling (GLM) identified the nearest food source and settlement as significant factors influencing snoring rail populations, aligning with their elusive nature. The selected GLM model highlighted the impact of average NDVI, distance to the nearest food source, and distance to the nearest settlement on snoring rail density, guiding conservation efforts. This study underscores the urgency of upgrade the snoring rails' conservation status to Endangered (EN) and implementing global conservation measures by improving data collection with technology.

Keywords

Gandang Dewata National Park, snoring rails, population assessment, conservation efforts

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References

Abrahams, C., & Geary, M. (2020). Combining bioacoustics and occupancy modelling for improved monitoring of rare breeding bird populations. Ecological Indicators, 112, 106131.

Abrha, A. M., Gedeon, K., Podsiadlowski, L., Weldesilasie, D. M., & Töpfer, T. (2023). Occupancy of the Ethiopian endemic Moorland Francolin in pristine and degraded Afroalpine biome using a camera trap approach. Ecology and Evolution, 13(11), e10551.

Ardiani, D., Jaelani, L. M., Aldiansyah, S., Tambunan, M. P., Indrawan, M., & Wibowo, A. A. (2023). The Effect of Human Disturbance on the Spatial Distribution of Anoa (Bubalus Sp.) Using MaxEnt Modeling. In IOP Conference Series: Earth and Environmental Science (Vol. 1127, No. 1, p. 012020). IOP Publishing.

BirdLife International. (2016). Aramidopsis plateni. The IUCN Red List of Threatened Species 2016: e.T22692552A93358553. http://dx.doi.org/10.2305/IUCN.UK.2016-3.RLTS.T22692552A93358553.en

Berryman, A. J., Martin, R. W., Burfield, I. J., & Butchart, S. H. (2023). Knowledge gaps do not preclude extinction risk assessments: A response to Gula et al.(2023). Biological Conservation, 110306.

Crosby, A. D., Bayne, E. M., Cumming, S. G., Schmiegelow, F. K., Dénes, F. V., & Tremblay, J. A. (2019). Differential habitat selection in boreal songbirds influences estimates of population size and distribution. Diversity and Distributions, 25(12), 1941-1953.

Crossland, M. R., Kelly, H., Speed, H. J., Holzapfel, S., & MacKenzie, D. I. (2023). Predator control to protect a native bird (North Island kōkako) also benefits Hochstetter's frog. New Zealand Journal of Ecology, 47(2).

Daoud, J. I. (2017). Multicollinearity and regression analysis. In Journal of Physics: Conference Series (Vol. 949, No. 1, p. 012009). IOP Publishing.

Dunn, P. K., & Smyth, G. K. (2018). Generalized Linear Models With Examples in R. New York: Springer New York. https://doi.org/10.1007/978-1-4419-0118-7

Eaton, J. A., van Balen, B., Brickle, N. W., & Rheindt, F. E. (2022). Burung-burung Pulau Paparan Sunda dan Wallacea di Kepulauan Indonesia. Barcelona: Lynx Edicions.

Eldridge, R. A., Achmadi, A. S., Giarla, T. C., Rowe, K. C., & Esselstyn, J. A. (2018). Geographic isolation and elevational gradients promote diversification in an endemic shrew on Sulawesi. Molecular phylogenetics and evolution, 118, 306-317.

Fontúrbel, F. E., Orellana, J. I., Rodríguez-Gómez, G. B., Tabilo, C. A., & Castaño-Villa, G. J. (2021). Habitat disturbance can alter forest understory bird activity patterns: a regional-scale assessment with camera-traps. Forest Ecology and Management, 479, 118618.

Fontúrbel, F. E., Rodríguez-Gómez, G. B., Fernández, N., García, B., Orellana, J. I., & Castaño-Villa, G. J. (2020). Sampling understory birds in different habitat types using point counts and camera traps. Ecological Indicators, 119, 106863.

Frommolt, K. H., & Tauchert, K. H. (2014). Applying bioacoustic methods for long-term monitoring of a nocturnal wetland bird. Ecological Informatics, 21, 4-12.

Gaspar, J., Gibb, G. C., & Trewick, S. A. (2020). Convergent morphological responses to loss of flight in rails (Aves: Rallidae). Ecology and Evolution, 10(13), 6186-6207.

Golding, J. D., & Dreitz, V. (2016). Comparison of removal-based methods for estimating abundance of five species of prairie songbirds. Journal of Field Ornithology, 87(4), 417-426. https://doi.org/10.1111/jofo.12176

Howell, L. G., Clulow, J., Jordan, N. R., Beranek, C. T., Ryan, S. A., Roff, A., & Witt, R. R. (2021). Drone thermal imaging technology provides a cost-effective tool for landscape-scale monitoring of a cryptic forest-dwelling species across all population densities. Wildlife Research, 49(1), 66-78.

Hudjimartsu, S. A., Herdiyeni, Y., Prasetyo, L. B., & Siswoyo, A. (2017). Prediction of The Spread of Acacia nilotica Invasive Species Using Generalized Linear Models. Jurnal Manajemen Hutan Tropika, 23(3), 150-157

Jaelani L. M., Benedict, Ardiani D., Tambunan M. P., Indrawan M., & Wibowo A. A. (2023). An Extensive Coverage Anoa Distribution Modelling in Sulawesi Using Maximum Entropy. HAYATI Journal of Biosciences, 30(4), 716-724. https://doi.org/10.4308/hjb.30.4.716-724

Karlinasari, L., Purwanto, Y. A., Majiidu, M., Dwiyanti, F. G., Rafi, M., Damayanti, R., ... & Siregar, I. Z. (2020). Discrimination and determination of extractive content of ebony (Diospyros celebica Bakh.) from celebes island by near-infrared spectroscopy. Forests, 12(1), 6.

Loosen, A., Devineau, O., Zimmermann, B., & Marie Mathisen, K. (2022). The importance of evaluating standard monitoring methods: Observer bias and detection probabilities for moose pellet group surveys. PloS one, 17(7), e0268710.

Pusparini, W., Cahyana, A., Grantham, H. S., Maxwell, S., Soto-Navarro, C., & Macdonald, D. W. (2023). A bolder conservation future for Indonesia by prioritising biodiversity, carbon and unique ecosystems in Sulawesi. Scientific Reports, 13(1), 842.

Putera A. K. S., Perwitasari-Farajallah D., Mulyani Y. A., Lhota S., Herliansyah R., & Sodikin S. (2021). Waterbird Foraging Habitat Selection in Balikpapan Bay: Water Depth and Patch Area as Important Factors. HAYATI Journal of Biosciences, 28(4), 312-324. https://doi.org/10.4308/hjb.28.4.312-324

R Core Team. (2021) R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.

Rahman, D. A. (2021). Dasar-dasar Ekologi Kuantitatif – Teori dan Aplikasi. Bogor: IPB Press.

Santangeli, A., Chen, Y., Kluen, E., Chirumamilla, R., Tiainen, J., & Loehr, J. (2020). Integrating drone-borne thermal imaging with artificial intelligence to locate bird nests on agricultural land. Scientific reports, 10(1), 10993.

Sólymos, P., Toms, J. D., Matsuoka, S. M., Cumming, S. G., Barker, N. K., Thogmartin, W. E., ... & Bayne, E. M. (2020). Lessons learned from comparing spatially explicit models and the Partners in Flight approach to estimate population sizes of boreal birds in Alberta, Canada. The Condor, 122(2), duaa007.

Wickham H. (2016) ggplot2: Elegant Graphic for Data Analysis, 2nd Ed. Cham: Springer International.

Zulkarnaen, R., Helmanto, H., Wihermanto, W., Primananda, E., Robiansyah, I., & Kusuma, Y. (2022). Population Study of Endemic Java Palm Pinanga javana in Mount Ungaran, Semarang, Central Java, Indonesia. Biosaintifika: Journal of Biology & Biology Education, 14(1), 48-56.

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