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Agroforestry Practices and Community Resilience to The Impact of Climate Change in Sesaot Forest Area, Lombok, Indonesia Markum, Markum; Sjah, Taslim; Idris, Muhamad Husni; Aji, Irwan Mahakam Lesmono; Fikry, Muhamad Yul; Rahman, Firman Ali
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11258

Abstract

Climate change affects agroforestry production and community resilience in forest areas. This study aims to: (1) identify vulnerabilities of forest products to climate change; (2) analyze community adaptation strategies; and (3) assess resilience levels of forest-adjacent communities. The research applied descriptive methods via field observations, interviews, and focus group discussions. From 74 residents, random sampling was used (Slovin method, 10% margin of error). Variables included economic, psychological, and social-institutional aspects. Resilience was assessed using a scoring system integrating Reivich & Shatté’s theory and a Likert scale, categorized into five levels: very high to very low. Results show that key vulnerabilities in the Sesaot forest area include harvest failures of major crops (e.g., durian, mangosteen, avocado, rambutan, cacao, coffee), with losses reaching 60–80%. Communities adapted through stratified agroforestry systems and strengthening local institutions. Resilience levels were high overall—economically moderate, but socially and psychologically strong. The study recommends improving economic resilience by reducing crop failure risks, including through the establishment of plant health clinics
POTENSI SERAPAN KARBON EKOSISTEM MANGROVE DI DESA EYAT MAYANG KABUPATEN LOMBOK BARAT Sari, Diah Permata; Idris, Muhamad Husni; Aji, Irwan Mahakam Lesmono; Anwar, Hairil; Webliana B., Kornelia
Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Vol 23, No 1 (2024): Maret 2024
Publisher : Universitas 17 Agustus 1945 Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31293/agrifor.v23i1.7087

Abstract

Pendataan kondisi biofisik ekosistem mangrove merupakan langkah awal dalam pengelolaan kawasan mangrove yang meliputi data struktur dan komposisi ekosistem mangrove serta potensi serapan karbon.  Data potensi serapan karbon di kawasan ekosistem mangrove Desa Eyat Mayang belum terindentifikasi. Tujuan dari penelitian ini yaitu untuk menganalisis potensi serapan karbon di kawasan ekosistem mangrove Desa Eyat Mayang.  Pengumpulan data  menggunakan metode jalur berpetak sebanyak 84 plot. Data dianalisis menggunakan persamaan allometrik.  Hasil penelitian menujukkan bahwa kawasan ekosistem mangrove di Desa Eyat Mayang memiliki potensi biomassa 86,27 ton/ha yang terdiri dari 84% biomassa atas (AGB) dan 16% biomassa bawah permukaan (BGB).  Potensi kandungan karbon mangrove di Desa Eyat Mayang sebesar 40,13 ton/ha dan potensi serapan karbon (CO2) sebesar 147,3 ton/ha.  Kontribusi terbesar biomassa, kandungan karbon dan serapan karbon berasal dari jenis Rhizophora apiculata.
Burned Area Mapping Using ΔBAI-Otsu from Landsat 8 Imagery in Bukit Anak Dara East Lombok Prasetyo, Andrie Ridzki; Valentino, Niechi; Silamon, Rato Firdaus; Idris, Muhamad Husni; Latifah, Sitti; Aji, Irwan Mahakam Lesmono; Pratama, Roni Putra
Jurnal Biologi Tropis Vol. 25 No. 4b (2025): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4b.10836

Abstract

Forest and land fires are recurrent in Indonesian tropical mountain savannas and threaten biodiversity, carbon stocks, and local livelihoods, yet spatially explicit burned-area information is still limited. This study aimed to evaluate the performance of the Burn Area Index (BAI) from Landsat 8 OLI–TIRS imagery for mapping the 2024 fire in Bukit Anak Dara, East Lombok. Burned and unburned pixels were classified by applying a two-class Otsu threshold to the ΔBAI histogram for the full scene extent. The resulting burned-area map was validated against high-resolution polygons obtained from visual interpretation of Sentinel-2A imagery and against fire hotspots from the SiPongi+ system. Compared with Sentinel-2A polygons, the ΔBAI–Otsu method produced a burned-area estimate of 275.49 ha versus 318.87 ha from the reference and achieved an overall accuracy of 0.97, precision of 0.94, recall of 0.81, and an F1-score of 0.87. Validation against hotspot data yielded lower performance (overall accuracy 0.87, precision 0.40, recall 0.41, F1-score 0.41), reflecting conceptual and spatial-scale differences between point-based active-fire detections and patch-based burned-area mapping. Burned pixels were concentrated on west–northwest facing slopes dominated by dry savanna, highlighting the role of topography and fuel characteristics in fire spread. Overall, the results therefore indicate that the ΔBAI–Otsu approach is a rapid, transparent, and reproducible tool for post-fire burned-area mapping in tropical mountain ecosystems and has strong potential for routine operational monitoring.