Modeling suitable habitats of maleo (Macrocephalon maleo sal. müller 1846) in Gorontalo

Andriwibowo Andriwibowo; Fadjri  Maarif

doi:10.24259/jpkwallacea.v12i2.31355

Authors

Andriwibowo Andriwibowo
[email protected]
Environmental Science Study, Universitas Indonesia, Pondok Cina, Beji, Depok City, West Java 16424, Indonesia
Fadjri Maarif Lore Lindu National Park, Palu, Central Sulawesi, Indonesia

Vol. 12 No. 2 (2023)

Articles

December 29, 2023

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Maleo (Macrocephalon maleo) is one of the endangered bird species in Indonesia. This avifauna species is an endemic bird to Sulawesi Island. It is distributed from the south to the north of Sulawesi, including Gorontalo. Currently, information on suitable habitat models for M. maleo is very limited, while this information is required to support the conservation of M. maleo. This study aimed to model the potential habitat for M. maleo using species distribution modeling (SDM) with vegetation cover variables as predictors. The model was built based on the M. maleo occurrence points. The suitable habitat was then evaluated using area under the curve analysis and the receiver operating characteristic curve (AUCROC). Based on the model, the AUC is valued at 0.729, which is considered reasonable and indicates that the model can be used to depict the potential habitats for the species. In this study, most of the west and east parts of Gorontalo were considered not suitable for Maleo. While the coastal areas of Gorontalo were considered very suitable. This was confirmed for both the north and south coastal areas of Gorontalo. Then it is strongly recommended to conserve and protect most of those coasts to ensure the Maleo conservation.

Andriwibowo, A., & Maarif, F. . (2023). Modeling suitable habitats of maleo (Macrocephalon maleo sal. müller 1846) in Gorontalo. Jurnal Penelitian Kehutanan Wallacea, 12(2), 71-77. https://doi.org/10.24259/jpkwallacea.v12i2.31355

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Allouche. O., Tsoar, A., & Kadmon, R. (2006). Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology, 43(6), 1223–1232.http://dx.doi.org/10.1111/j.1365-2664.2006.01214.x

Apriadi, S.T. (2009). Analisis preferensi habitat Burung Maleo (Macrocephalon maleo) di Taman Nasional Lore Lindu Sulawesi Tengah. Tesis tidak diterbitkan, Sekolah Pascasarjana IPB, Bogor.

Baker, G.C. (2002). Conservation status of Maleo Macroplalon maleo nesting grounds: an update. Megapode Newsletter , 16,4-6

CITES. (2017). Convention On International Trade In Endangered Species Of Wild Fauna

and Flora. Appendices I, II, and III. Valid from 4 October 2017.

De, K., Ali, S.Z., Dasgpta, N., Uniyal, V.P., Johnson, J.A., & Hussain SA. (2020). Evaluating performance of four species distribution models using Blue-tailed Green Darner Anax guttatus (Insecta: Odonata) as model organism from the Gangetic riparian zone. Journal of Threatened Taxa, 12(14), 16962–16970. http://dx.doi.org/10.11609/jott.6106.12.14.16962-16970

Jamili, Analuddin, & Rudia, L. O. A. P. (2015). Studi karakteristik mikro-habitat burung maleo (Macrocephalon maleo) pada kawasan Taman Nasional Rawa Aopa Watumohai (TNRAW) Sulawesi Tenggara. Biowallacea, 2(1), 182–195.

Karim, H.A., Najib, N.N., Darman, D., & Alam, A. (2020). Estimation of population and nesting behavior of Maleo bird (Macrochepalon maleo) in TWA Towutilake, East Luwu District. Gorontalo Journal Of Forestry Research, 3(2), 100–113.

Karim, F.R., Mas’yud, B., & Hernowo, J.B. (2022). Nesting site characteristics and egg hatching success of Maleo (Macrocephalon maleo) in Hungayono Sanctuary, Gorontalo. JPSL, 12(4), 570–578. http://dx.doi.org/10.29244/jpsl.12.4.570–578

Karim, H.A., Najib, N.N., & Sofyan, N. (2022). Vegetation characteristics of the Maleo Bird (Macrochepalon maleo) habitat at Natural Tourism Park of Towuti Lake, South Sulawesi. Jurnal Wasian, 9(1), 570–578

Khan, A. M., Li, Q., Saqib, Z., Khan, N., Habib, T., Khalid, N., Majeed, M., & Tariq A. (2022). MaxEnt modelling and impact of climate change on habitat suitability variations of economically important Chilgoza Pine (Pinus gerardiana Wall.) in South Asia. Forests, 13, 715. http://dx.doi.org/10.3390/f13050715

Lemenkova, P. (2020). Using R packages 'Tmap', 'Raster' And 'Ggmap' for cartographic visualization: an example of dem-based terrain modelling of Italy, Apennine Peninsula. Zbornik radova - Geografski fakultet Univerziteta u Beogradu 68, 99-116. http://dx.doi.org/10.5937/zrgfub2068099L.

MacKinnon, J.R., & Phillipps, K. (1993). A field guide to the birds of Borneo, Sumatra, Java, and Bali, the Greater Sunda Islands. Oxford University Press.

Mao, M., Chen, S., Ke, Z., Qian, Z., & Xu, Y. (2022). Using MaxEnt to predict the potential distribution of the little fire ant (Wasmannia auropunctata) in China. Insects, 13, 1008. http://dx.doi.org/10.3390/insects13111008.

Marcot, B.G. (2012). Metrics for evaluating performance and uncertainty of Bayesian network models. Ecological Modelling, 230, 50–62. http://dx.doi.org/10.1016/j.ecolmodel.2012.01.013

Maulany, R.I., Aliem, M.I., Nasri, & Ismail. (2021). A preliminary study of Maleo (Macrocephalon maleo) nesting in Kambunong Cape, West Sulawesi. IOP Conf. Ser.: Earth Environ. Sci. 681 012124

Reddy, M.T., Begum, H., Sunil, N., Pandravada, S. R., & Sivaraj, N. (2015). Assessing climate suitability for sustainable vegetable roselle (Hibiscus sabdariffa var. sabdariffa l.) cultivation in India using Maxent. Agricultural and Biological Sciences Journal, 1(2), 62-70.

Ruete, A., Leynaud, G. C. (2015). Goal-oriented evaluation of species distribution models’ accuracy and precision: True Skill Statistic profile and uncertainty maps. PeerJ PrePrints 3: e1208v1. http://dx.doi.org/10.7287/peerj.preprints.1208v1

Shcheglovitova, M., & Anderson, R.P. (2013). Estimating optimal complexity for ecological niche models: a Jackknife approach for species with small sample sizes. Ecol. Model. 269, 9–17.

Song, D., Li, Z., Wang, T., Qi, Y., Han, H., & Chen Z. (2023). Prediction of changes to the suitable distribution area of Fritillaria przewalskii Maxim. in the Qinghai-Tibet plateau under Shared Socioeconomic Pathways (SSPS). Sustainability 15, 2833. http://dx.doi.org/10.3390/SU15032833.

Tasirin, J.S., Iskandar, D.T., Laya, A., Kresno, P., Suling, N. (2021). Maleo Macrocephalon maleo population recovery at two Sulawesi nesting grounds after community engagement to prevent egg poaching. Global Ecology and Conservation, 28, e01699.

Thoha, A.S,, Triani, H. (2021). A spatial model of forest and land fire vulnerability level in the Dairi District, North Sumatra, Indonesia. Biodiversitas, 22, 3319-3326. http://dx.doi.org/10.13057/biodiv/d220827.

Utami, N., Sapei A., & Apip. (2017). Landuse change assessment and its demand projection in Batanghari River Basin, Sumatera, Indonesia. Limnotek, 24 (2), 52-60

Zhao, W.L., Chen, H.G., Lin, L., Cui, Z.J., & Jin, L. (2018). Distribution of habitat suitability for different sources of Fritillariae cirrhosae bulbus. Chin. J. Ecol. 37, 1037–1042.