PREDICTING HABITAT DISTRIBUTION OF ENDEMIC AND CRITICALLY ENDANGERED DIPTEROCARPUS LITTORALIS IN NUSAKAMBANGAN, INDONESIA

Iyan Robiansyah
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Abstract

ROBIANSYAH, I. 2017. Predicting habitat distribution of endemic and critically endangered Dipterocarpus littoralis in Nusakambangan, Indonesia. Reinwardtia 16(1): 11 - 18. - The tree species Dipterocarpus littoralis (Bl.) Kurz. is endemic to Nusakambangan and categorized as critically endangered. In the present study, the habitat suitability of the species in Nusakambangan was predicted using logistic regression analysis and Maxent model. Three topographic variables (elevation, slope, and aspect), distance from river and coastline, and one vegetation index (Normalized Difference Vegetation Index (NDVI)) as well as two water content indexes (Normalized Difference Water Index (NDWI) and Normalized Difference Moisture Index (NDMI)) were used as predictors of the models. Employing initial number of 82 presence and 250 absence data of D. littoralis, both models were able to predict the suitable areas for the species with fairly high success rate. The AUC and Kappa value for logistic regression were 0.77 ± 0.027 and 0.34 ± 0.058, respectively, while the respected values for Maxent were 0.91 ± 0.062 and 0.37 ± 0.025. Logistic regression analysis identified a total area of 26.13 km2 to be suitable for D. littoralis, while a smaller suitable area (7.85 km2) was predicted by Maxent model. Coastal areas in the west part of the island were predicted by both models as areas with high suitability for D. littoralis. Furthermore, distance from coastline and river, elevation, NDVI, NDWI and NDMI were suggested to be very important for the species ecology and distribution. The results of this study may serve as a basis for population reinforcement and reintroduction programs of D. littoralis and guide for ecosystem management of Nusakambangan Island as a whole.

 

Keywords

Critically endangered, Dipterocarpus littoralis, endemic species, logistic regression, Maxent, Nusakambangan.

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References

ARAÚJO, M. B., PEARSON, R. G., THUILLER, W. & ERHARD, M. 2005. Validation of species–climate impact models under climate change. Glob. Change Biol.11: 1504-1513.

ASHTON, P. 1998. Dipterocarpus littoralis. The IUCN Red List of Threatened Species 1998: e.T33376A9773710. http://doi.org/10.2305/IUCN.UK.1998.RLTS.T33376A9773710.en. Accessed 29 August 2016

DCCC (Department of Environment & Climate Change). 2008. Littoral Rainforest in the South East Corner, Sydney Basin and NSW North Coast bioregions. http://www.environment.nsw.gov.au/ resources/threatenedspecies/EEClittoralrainforestlowres.pdf Accessed 29 August 2016.

DWIYANTI, F. G., HARADA, K., SIREGAR, I. Z. & KAMIYA, K. 2014. Population genetics of the critically endangered species Dipterocarpus littoralis Blume (Dipterocarpaceae) endemic on Nusakambangan Island, Indonesia. Biotropia 21: 1-12.

ELITH, J., GRAHAM, C. H., ANDERSON, R. P., DUDIK, M., FERRIER, S., GUISAN, A., HIJMANS, R. J., HUETTMANN, F., LEATHWICK, J. R., LEHMANN, A., LI, J., LOHMANN, L. G., LOISELLE, B. A., MANION, G., MORITZ, C., NAKAMURA, M., NAKAZAWA, Y., OVERTON, J. M. M., PETERSON, A. T., PHILLIPS, S. J., RICHARDSON, K., SCACHETTI-PEREIRA, R., SCHAPIRE, R. E., SOBERO´N, J., WILLIAMS, WISZ, S. M. & ZIMMERMANN, N. E. 2006. Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29: 129-151.

GASTÓN, A. & GARCÍA-VIÑAS, J. I. 2011. Modelling species distributions with penalised logistic regressions: A comparison with maximum entropy models. Ecol. Model. 222: 2037-2041.

GU, Y., HUNT, E., WARDLOW, B., BASARA, J. B., BROWN, J. F. & VERDIN, J. P. 2008. Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data. Geophys. Res. Lett. 35, L22401.

HAI, R., SHUGUANG, J., HONGXIAO, L., QIANMEI, Z., & HONGFANG, L. 2014. Advances in the reintroduction of rare and endangered wild plant species. Sci. China Life Sci. 57(6): 603-609.

HOLCIM. 2013. Kinerja Pengelolaan Lingkungan Juli 2012-Juni 2013. http://proper.menlh.go.id/portal/ filebox/DRKPL%202013%20HOLCIM%20CILACAP.pdf Accessed 27 June 2016.

ISLAM, M., SALIM, S. H., KAWSAR, M. H. & RAHMAN, M. 2016. The effect of soil moisture content and forest canopy openness on the regeneration of Dipterocarpus turbinatus CF Gaertn.(Dipterocarpaceae) in a protected forest area of Bangladesh. Trop. Ecol. 57: 455-464.

KREFT, H., JETZ, W., MUTKE, J., KIER, G. & BARTHLOTT, W. 2008. Global diversity of island floras from a macroecological perspective. Ecol. Lett. 11: 116-127.

LIU, C., WHITE, M. & NEWELL, G. 2013. Selecting thresholds for the prediction of species occurrence with presence?only data. J. Biogeogr. 40: 778-789.

MARINI, M. Â., BARBET-MASSIN, M., LOPES, L. E. & JIGUET, F. 2010. Predicting the occurrence of rare Brazilian birds with species distribution models. J. Ornithol. 151: 857-866.

MCHUGH, M.L. 2012. Interrater reliability: the kappa statistic. Biochem. Med. 22(3): 276-282.

MENARD, S. 2011. Standards for standardized logistic regression coefficients. Soc. Forces 89(4): 1409?1428.

PARTOMIHARDJO, T., ARIFIANI, D., PRATA-MA, B.A. & MAHYUNI, R. 2014. Jenis Jenis Pohon Penting di Hutan Nusakambangan. LIPI Press, Jakarta.

PEARSON, R. G. 2010. Species distribution modeling for conservation educators and practitioners. Lessons Conserv. 3: 54-89.

PHILLIPS, S. J. & DUDÍK, M. 2008. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31: 161-175.

PRIMAJATI, M. 2015. Prediksi Kesesuaian Habitat Plahlar (Dipterocarpus littoralis) di Kawasan Cagar Alam Nusa Kambangan Barat. Flora Fauna Indonesia, Jakarta.

ROBIANSYAH, I. & DAVY, A. J. 2015. Population status and habitat preferences of critically endangered Dipterocarpus littoralis in West Nusakambangan, Indonesia. Makara J. Sci. 19: 150-160.

ROURA-PASCUAL, N., BROTONS, L., PETERSON, A. T. & THUILLER, W. 2009. Consensual predictions of potential distributional areas for invasive species: a case study of Argentine ants in the Iberian Peninsula. Biol. Invas. 11: 1017-1031.

SAHU, A.S. 2014. Identification and mapping of the water-logged areas in Purba Medinipur part of Keleghai river basin, India: RS and GIS methods. Int. J. Adv. Geosci. 2(2): 59-65.

SAX, D. F. & GAINES, S. D. 2008. Species invasions and extinction: The future of native biodiversity on islands. P. Natl. Acad. Sci. 105: 11490-11497.

SOBERÓN, J. 2007. Grinnellian and Eltonian niches and geographic distributions of species. Ecol. Lett. 10: 1115-1123.

THUILLER, W., LAVOREL, S. & ARAU´JO, M. B. 2005. Niche properties and geographical extent as predictors of species sensitivity to climate change. Glob. Ecol. Biogeogr. 14: 347-357.

TOGNELLI, M. F., ROIG-JUNENT, S. A., MARVALDI, A. E., FLORES, G. E. & LOBO, J. M. 2009. An evaluation of methods for modelling distribution of Patagonian insects. Rev. Chil. Hist. Nat. 82: 347-360.

USD. 2016. Bincang Plahlar di PSL USD. Humas Universitas Sanata Dharma. https://www.usd.ac.id/ deskripsi.php?idt=usd_berita&noid=2672 Accessed 27 June 2016.

WISZ, M. S., HIJMANS, R. J., LI, J., PETERSON, A. T., GRAHAM, C. H., GUISAN, A. & GROUP, N. P. S. D. W. 2008. Effects of sample size on the performance of species distribution models. Divers. Distrib. 14: 763-773.

YULITA, K. S. & PARTOMIHARDJO, T. 2011. Keragaman genetika populasi Pelahlar (Dipterocarpus littoralis (Bl.) Kurz) di Pulau Nusakambangan berdasarkan Profil Enhanced Random Amplified Polymorphic DNA. Berita Biologi 10: 541-548.

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