ERVIZAL A. M. ZUHUD
Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry and Environment, Institut Pertanian Bogor. Jl. Lingkar Akademik Kampus IPB Dramaga, Babakan, Bogor 16680, West Java, Indonesia

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Modelling habitat suitability of sugar palm (Arenga pinnata) in Andongrejo Resort, Meru Betiri National Park, East Java, Indonesia AGUS HIKMAT; ERVIZAL A. M. ZUHUD; EDHI SANDRA; PRIMADHIKA AL MANAR; FRISCHA DHELA WANNA PUTRI; HEKMATYAR AULIA AYUBA
Biodiversitas Journal of Biological Diversity Vol. 26 No. 8 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d260837

Abstract

Abstract. Hikmat A, Zuhud EAM, Sandra E, Al Manar P, Putri FDW, Ayuba HA. 2025. Modelling habitat suitability of sugar palm (Arenga pinnata) in Andongrejo Resort, Meru Betiri National Park, East Java, Indonesia. Biodiversitas 26: 4077-4089. Sugar palm (Arenga pinnata) is a species of the Arecaceae family with considerable economic, social, and ecological importance. This study aimed to model the habitat suitability of sugar palm and generate a suitability map based on the relationship between known presence points and key environmental variables. Using Maximum Entropy (MaxEnt) modelling, habitat suitability was predicted and classified based on the relationship between known occurrences and environmental variables. Seven environmental variables were found to contribute to the habitat suitability model. Among them, temperature (49.5%), altitude (29%), and distance from the river (7.7%) were identified as the most influential. The model achieved a high level of accuracy, with an Area Under the Curve (AUC) value of 0.942, indicating excellent predictive performance. Habitat suitability in the Andongrejo Resort, Meru Betiri National Park, East Java, Indonesia, was categorized into five classes: not suitable (11.17 ha), less suitable (4,882.56 ha), quite suitable (144.28 ha), suitable (42.96 ha), and very suitable (33.64 ha). The findings show that highly suitable habitats occupy a much smaller area compared to less suitable ones, which could threaten the long-term survival of sugar palm populations in the region. Notably, areas with high habitat suitability were mainly found within the forest zone, covering approximately 29.24 ha. These findings provide spatial guidance for habitat management, including restoration and conservation planning, particularly in the forest zones where suitable habitats are concentrated.
Distribution and estimation of economic losses due to long-tailed macaque in the sago agroindustry in Lingga District, Riau Islands, Indonesia ANGELITA SYAWALINA PRAMESWARI; BURHANUDDIN MASY’UD; ERVIZAL A. M. ZUHUD; PRIMADHIKA AL MANAR
Biodiversitas Journal of Biological Diversity Vol. 26 No. 10 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d261050

Abstract

Abstract. Prameswari AS, Masy’ud B, Zuhud EAM, Al Manar P. 2025. Distribution and estimation of economic losses due to long-tailed macaque in the sago agroindustry in Lingga District, Riau Islands, Indonesia. Biodiversitas 26: 5385-5394. The long-tailed macaque (Macaca fascicularis) is an opportunistic primate that frequently interacts with community-based agricultural systems, including the sago agroindustry in Lingga District, Riau Islands, Indonesia. Such interactions can cause material losses and threaten the sustainability of local livelihoods. This study aimed to analyze the population distribution, age structure, and economic impact of sago log damage caused by macaques. Field surveys were conducted using line transects, spatial analysis using ArcGIS 10.8, and structured interviews with sago farmers. The results recorded 18 groups comprising 116 individuals, with an average population density of 10.74 individuals/km². Sub-adults represented the dominant age class, displaying the highest levels of foraging and social activity, which increased their contact with stored sago logs. The average log damage reached 11,860.63±1,519.95 cm³ (9.56±1.22%), corresponding to a starch loss of 1.61±0.26 kg per log and annual economic losses of approximately IDR 22.7±3.6 million. Although local communities employ traditional deterrents, such as covering sago logs with sea sand and sago fronds, their effectiveness remains limited owing to inconsistent application and high labor requirements. This study provides one of the first empirical estimates of wildlife-induced post-harvest losses in the sago sector and highlights the need for integrated mitigation strategies that combine traditional ecological knowledge with scientific approaches, including physical barriers, habitat management, and buffer crop planting. Such integrative, community-based management is essential to minimize economic losses, mitigate human-wildlife conflict, and enhance the long-term sustainability of the sago-based agroindustry.