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Nuryani
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Beyond the Canopy: Resolving Topographic and Acoustic Complexities with Machine Learning for Karst Avifauna Monitoring Fitryan, Anggyta; Abdurrahman, Ahmad Faruq; Nuryani; Prihanto, Surya; Al Fath, Yusril; Aprilia, Ayu; Junaidi; Surtono, Arif
Journal of Innovation in Applied Natural Science Vol. 1 No. 1 (2025): Journal of Innovation in Applied Natural Science
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jinas.v1i1.52

Abstract

Background of study: Tropical karst landscapes harbor exceptional avian biodiversity but pose unique monitoring challenges due to complex topography, cave reverberation, and humidity-driven sound distortion. Conventional ecoacoustic methods fail in these environments, with indices showing weak correlations (r=0.20-0.43) for avian diversity due to insect masking and abiotic interference. Over 83% of karst-endemic birds lack standardized monitoring protocols despite escalating extinction risks.Aims and scope of paper: This review aims to: (1) quantify limitations of current ecoacoustic methods in karst ecosystems, (2) develop a machine learning-enhanced framework addressing topographic and reverberation effects, and (3) establish conservation-ready protocols for endangered karst avifauna. The study synthesizes evidence from 29 studies across hardware innovation, signal processing, and policy applications.Methods: We systematically analyzed 29 studies on acoustic monitoring in karst ecosystems, focusing on machine learning innovations, topographic adaptations, and conservation applications.Result: Topography drives 47% of soundscape variation, surpassing vegetation effects. Machine learning (CNNs/MFCCs) boosts detection accuracy by 22-80% in reverberant caves. Hybrid protocols enable 25-m resolution habitat mapping and precise disturbance monitoring, overcoming tropical "latitude paradox" limitations.Conclusion: This review establishes the first karst-adapted ecoacoustic framework, integrating machine learning with topographic variables to transform monitoring from biodiversity proxy to precision tool. Critical next steps include developing species-specific call libraries, wind-reverberation filters, and policy integration of acoustic baselines for IUCN assessments. The proposed protocols address urgent conservation needs for Earth's most threatened avian sanctuaries.
Co-Authors Abdurrahman, Ahmad Faruq Adha Azaria, Dirda Agustina Ahmad Abdul Qiso Al Fath, Yusril Alhadi Arka Almujahid Alqadri, Bagdawansyah An Nur, Muhammad Jabal Anggelia Dwi Agustin Anjelia Ratu Oasis Aprilia, Ayu Ardani, Riska Novia Ashabul Kahfi, Muhammad Bambang Hariyanto Bawalom, Agum Juanarzah Cittra Juniarni Dea Ananda Dwi Noviani Dzikri, Ananda Erwin Gunawan Firdausi Ramadhani, Firdausi Fitryan, Anggyta Hajairin Hatta, Herman Heni Wahyuni Hera Nazwa Putri Herlina Usman Hilmin Hudaa, Syihaabul Idu, Cicirosnita J. Iftitah Wira Sarwa Iis Mutmaisah ILHAM Indah Purwandari, Ratri Indra Adiyansyah Irzam Ismi Nur Faizah Jeanita Fasya Melivia Jihan Mutia Junaidi Junaidi Kartikasari Khalisah Rahmadiyana Khoiriyyah Khoirunnisa, Naya Nurlaila Kojin Laeliyah Kodriatul Fadillah Laila, Nur Rizka Lailan Khadijah Lastri Mei Winarni Lestrai, Nadila Ristri Puji Lulu Eka Nanda Mahmudi, Muh. Alpan Rasyid Maknun Qolbiani Makyun Subuki Meilinda Anisa Dewi Mella Sari Dwi Astuti Miftachul indriani Mochamad Ziyad Zulkarnaen Mohamad Jalal Hambali Monita Sholeha Muh. Haris Zubaidillah Muyasaroh Nelita Indah Islami Neni Alfidah Nor Azidah Nor Khairiyah Noviani, Dwi Nuraini, Sinta Nuril Pitriyati Nurlia Hanum Nuruddaroini, M. Ahim Sulthan Nurul Aspia Paizaluddin Prihanto, Surya Rahman, Saifur Ramadhania, Fajria Laila Resi Ratna Suminar Rohani, Tri Sahira, Emilia Sandalayuk, Marselia Santosa Septika Yani Veronica SITI LATIFAH Sri Elyani Surtono, Arif Susanti, Hera Suwignyo Syawalia, Ely Tri Meiningsih Utami, Aulia Asri Yeni Marthalena Yuniza Mulditasari Yusuf, Nirmala Zakhira, Dina