• UGM
  • Academic Portal
  • IT Center
  • Library
  • Research
  • Webmail
  • Informasi Publik
  • Languages
Universitas Gadjah Mada Fakultas Kehutanan
Universitas Gadjah Mada
  • Tentang Kami
    • Visi dan MIsi
    • Kelembagaan Fakultas
    • Sejarah dan Perkembangan
    • Staff Pendidik
  • Akademik
    • Sistem Pendidikan
    • Departemen
    • Sistem Kredit Semester
    • BUKU PANDUAN AKADEMIK
  • KEMAHASISWAAN
    • KEMAHASISWAAN
    • LEM
    • PPSMB Pelestari
  • Penelitian dan Publikasi
    • Berita Penelitian dan Publikasi
    • Penelitian
    • Publikasi
    • Kekayaan Intelektual
    • Jangka Benah
  • Pengabdian Masyarakat
    • Pengabdian Dosen
    • Kerja Sama
    • WANAGAMA
    • KHDTK NGANDONG-GETAS
  • Beranda
  • berita penelitian dan publikasi
  • Land Management Dynamics in Social Forestry Permit Using LandTrendr Algorithm: A Case Study in Tuar Tana Community Forest, East Nusa Tenggara Province, Indonesia

Land Management Dynamics in Social Forestry Permit Using LandTrendr Algorithm: A Case Study in Tuar Tana Community Forest, East Nusa Tenggara Province, Indonesia

  • berita penelitian dan publikasi
  • 25 August 2025, 00.44
  • Oleh: Bag. Riset & Literasi
  • 0

Abstract
Social forestry is one of the Indonesian government’s programs to reduce deforestation and improve community welfare. After a decade, it is not yet known how the dynamics of land management related to the level of disturbance and recovery before and after the permit in the Tuar Tana Community Forest (HKm Tuar Tana) area in East Nusa Tenggara Province. This study aims to investigate the dynamics of land management by monitoring the level of disturbance and recovery in social forestry areas before and after the permit using the LandTrendr algorithm and the Normalized Burn Ratio (NBR) index. The results showed that the highest vegetation loss occurred before the permit was granted, 118.90 ha or 88% of the total loss area from 2000 to 2023. Vegetation recovery mostly occurred over a long duration of 22 years with an area of 25.82 ha. Based on the comparative analysis of the level of disturbance between 2000 and 2023, there was a decrease in the level of disturbance with a high level of 119.96 ha or a decrease of 34.58% of the total area of the HKm Tuar Tana permit, while the disturbance with a moderate level increased by 117.90 ha or 33.9%. This condition shows that over time, there has been a change in land clearing patterns in the HKm Tuar Tana, from massive land clearing by cutting and burning to selective land clearing adjusted to the growth of non-timber forest products planted in the previous year. In line with the research findings, LandTrendr can be a highly relevant tool for evaluating the impact of social forestry policies on vegetation cover in a quantitative and evidence-based manner. The recommendation is that the government should strengthen this program’s implementation by providing technical assistance and continuous supervision to communities regarding land management in social forestry areas. This is important to ensure that forest management is carried out sustainably and positively impacts the quality of land cover and economic and social aspects in the social forestry permit area.

SDGs:
SDG 1 :No Poverty
SDG 13:Climate Action
SDG 15:Life on Land

Link Dokumen:
Download

Leave A Comment Cancel reply

Your email address will not be published. Required fields are marked *

*

Universitas Gadjah Mada

FAKULTAS KEHUTANAN
Universitas Gadjah Mada
Jl. Agro No. 1 Bulaksumur Yogyakarta 55281
Telp. (0274) 512102, 6491420 Fax. (0274) 550541
Email: fkt@ugm.ac.id

UNIVERSITY ADMISSION

  • SNMPTN
  • SBMPTN
  • PBUTM
  • UTUL

DEPARTMENT

  • Forest Management
  • Forest Product Technology
  • Silviculture
  • Forest Resource Conservation

Informasi Publik

  • Permohonan Informasi Publik
  • Daftar Informasi Tersedia Secara Berkala
  • Daftar Informasi Tersedia Setiap Saat

© FKT - Universitas Gadjah Mada

KEBIJAKAN PRIVASI/PRIVACY POLICY

[EN] We use cookies to help our viewer get the best experience on our website. -- [ID] Kami menggunakan cookie untuk membantu pengunjung kami mendapatkan pengalaman terbaik di situs web kami.I Agree / Saya Setuju