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All Journal Biodiversitas Journal of Biological Diversity
ADISTINA FITRIANI
Doctoral Program of Agricultural Science, Postgraduate Program, Universitas Lambung Mangkurat. Jl. A. Yani Km 36, Banjarbaru 70714, South Kalimantan Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Suitability habitat model of Mangifera rufocostata under different climatic and environmental conditions ADISTINA FITRIANI; YUDI F. ARIFIN; GUSTI M. HATTA; RAIHANI WAHDAH; DAMARIS PAYUNG
Biodiversitas Journal of Biological Diversity Vol. 23 No. 9 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d230924

Abstract

Abstract. Fitriani A, Arifin YF, Hatta GM, Wahdah R, Payung D. 2022. Suitability habitat model of Mangifera rufocostata under different climatic and environmental conditions. Biodiversitas 23: 4570-4577. Mangifera rufocostata Kosterm is known as a medicinal plant for antidiabetic. Therefore, intensive use of the bark of this plant results in a significant decline in the plant population which can eventually cause the plant to become extinct. This study aimed to determine the potentially suitable cultivation region of M. rufocostata using Maximum Entropy (MaxEnt) modelling. Twenty-three environmental variables including bioclimatic, soil type, slope, altitude, and solar radiation have been used for the development of distribution modeling. The results showed that precipitation seasonality, precipitation, mean temperature, and solar radiation are important variables in the development of the habitat suitability model. Suitable habitat locations for M. rufocostata include the Hulu Sungai Tengah, Hulu Sungai Selatan and Hulu Sungai Utara Regency, South Kalimantan Province, Indonesia. The MaxEnt model provided an area under curve (AUC) value of 0.959, indicating that MaxEnt is accurate and informative for the prediction of habitat suitability of M. rufocostata. The results indicate that this suitability prediction model may be applied used for future management, monitoring, cultivation and conservation of M. rufocostata.
Co-Authors DAMARIS PAYUNG GUSTI M. HATTA RAIHANI WAHDAH YUDI F. ARIFIN