Documenting the first ocurrence of Feihyla baladika (Anura, Rhacophoridae) in East Java: ecology, genetics, and habitat suitability

• Опубліковано в: Zoodiversity (Vestnik Zoologii)
• Дата: 2026
• Том: 60
• Випуск: 3
• ISSN: 2707-7268
• Автори та афіліації: M. A. Rijalullah — Department of Faculty of Sciences, Technology and Mathematics, Universitas Brawijaya, Malang, Indonesia; N. Khanifan — Department of Faculty of Sciences, Technology and Mathematics, Universitas Brawijaya, Malang, Indonesia; M. F. Assiddiqy — Department of Faculty of Sciences, Technology and Mathematics, Universitas Brawijaya, Malang, Indonesia; Anandhika M.S.P. Soeprijadi — Independent Researcher, Madiun, East Java, Indonesia; M. Fathoni — Manusela National Park, Ministry of Forestry - Republic of Indonesia; A. Nurrofik — Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya, Malang, Indonesia; N. Kurniawan — deceased; L. Septiadi — Wildlife Conservation Society – Indonesia Program, Bogor, Indonesia
• Автори: Rijalullah, M. A., Khanifan, N., Assiddiqy, M. F., Soeprijadi, Anandhika M.S.P., Fathoni, M., Nurrofik, A., Kurniawan, N., Septiadi, L.
• Формат: Стаття
• Мова: Англійська
• Опубліковано: Publishing House "Akademperiodyka" of the National Academy of Sciences of Ukraine 2026
• Онлайн доступ: https://ojs.akademperiodyka.org.ua/index.php/Zoodiversity/article/view/838
• Назва журналу: Zoodiversity

Previously, Feihyla baladika (Riyanto and Kurniati, 2014) was known exclusively from Sumatra, Indonesia. This study reports a new record of this species from the eastern region of Java Island, within a lowland tropical rainforest close to Pantai Kondang Merak. Due to the absence of other findings in Java and some morphological differences along with a genetic distance of 2–3%, we cautiously refer to the specimens as F. cf. baladika. Species distribution modeling using MaxEnt suggests that F. baladika may potentially occur in Sumatra, Java, and Bali, in areas characterized by relatively low precipitation during the wettest month, forest cover, and low temperature seasonality.