Biodiversitas Journal of Biological Diversity
Vol. 22 No. 5 (2021)

Predicting suitable areas for Baccaurea angulata in Kalimantan, Indonesia using Maxent modelling

Gunawan Gunawan (Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Lambung Mangkurat. Jl. A. Yani Km 36.4, Banjarbaru 70714, South Kalimantan, Indonesia)
Sulistijorini Sulistijorini (Department of Biology, Faculty of Mathematics and Natural Sciences, Institut Pertanian Bogor. Jl. Meranti, Dramaga, Bogor 16680, West Java, Indonesia)
Tatik Chikmawati (Department of Biology, Faculty of Mathematics and Natural Sciences, Institut Pertanian Bogor. Jl. Meranti, Dramaga, Bogor 16680, West Java, Indonesia)
Sobir Sobir (Department of Agronomy and Horticulture, Faculty of Agriculture, Institut Pertanian Bogor. Jl. Kamfer, Dramaga, Bogor 16680, West Java, Indonesia)



Article Info

Publish Date
28 Apr 2021

Abstract

Abstract. Gunawan, Sulistijorini, Chikmawati T, Sobir. 2021. Predicting suitable areas for Baccaurea angulata in Kalimantan, Indonesia Using MaxEnt Modelling. Biodiversitas 22: 2646-2653. Baccaurea angulata Merr. or ‘Belimbing Dayak’ is an underutilized fruit indigenous in Kalimantan. This species potentially used as edible fruit and medicinal plant. Unfortunately,  the forest conversion to oil palm and rubber plantations causes decreasing the habitat of B. angulata.  However, little is known about the occurrences and suitable habitat of B. angulata in Kalimantan. This investigation is might be the first study report on predicting the distribution of B. angulata in Kalimantan using MaxEnt (Maximum Entropy). The results show that four variables namely solar radiation in October, altitude,  precipitation of warmest quarter, and gloslope are significant factors determining B.angulata’s suitable habitat. The location of suitable habitat for  B. angulata is accordant with the real present distribution. The extent of potentially suitable area was significantly larger than the present occurrence of B. angulata in Kalimantan. The highest suitable areas identified in this study covered West Kalimantan and South Kalimantan. They included parts of SB (Sambas), LD (Landak), SG (Sanggau), SK (Sekadau) and BK (Bengkayang) of West Kalimantan Provinces, and TL (Tanah Laut), BN (Banjar) of South Kalimantan Provinces. The MaxEnt model performed better than random method with an Area Under Curve (AUC) value of 0.937 and it was statistically significant. It indicated that MaxEnt model was highly accurate and informative for habitat suitability of B. angulata. The predicted model of suitable areas can be used for management, monitoring, cultivation and future conservation of B. angulata.

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Journal Info

Abbrev

biodiv

Publisher

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

Description

The Biodiversitas Journal was first published in 2000 by the Department of Biology, FMNS, Universitas Sebelas Maret, Surakarta, Indonesia, then in 2006 it was co-published by the Society for Indonesian Biodiversity and that department; since 2017 it was also hosted by Smujo. From 2003-2012 it was ...