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Effect of Chitosan-PMAA-Nutrients Slow-release Fertilizer on Germination of Falcataria moluccana (Miq.) Barneby & J. W. Grimes Hilmi Naufal Madani; Nurheni Wijayanto; Adisti Permatasari Putri Hartoyo
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 13 No 3 (2023): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.13.3.398-407

Abstract

Slow-release fertilizer (SRF) with chitosan (CS) coating as a supply of plant nutrients is an alternative to the efficient use of conventional chemical fertilizers and reduces environmental pollution. However, its potential in woody plants is limited. This study aimed to analyze the effect of SRF on Falcataria moluccana germination and SRF phosphorus release rate. This study used SRF from polymerizing CS with methacrylic acid (MAA) to trap nutrients (CS-PMAA-nutrients SRF). The seeds of F. moluccana were germinated at six concentrations SRF: without fertilizer (F0), SRF CS dose 0.5% weight 0.03 g (F1), SRF CS 0.5% 0.01 g (F2), SRF CS 0.7% 0.03 g (F3), SRF CS 0.7% 0.01 g (F4), and conventional fertilizer (F5) for 21 days. SRF can increase the germination of F. moluccana. F4 increased normal sprout (10%) and germination power (16%) of F. moluccana. Furthermore, SRF with a concentration of 0.01 g produced a higher germination value than a concentration of 0.03 g. The release rate of SRF’s nutrients was slower (91.80% phosphorus) than conventional fertilizers. SRF application can reduce nutrients lost and increase the efficiency of nutrient absorption. Hence, it can improve F. moluccana growth.
SPECIES COMPOSITION, STRUCTURE, AND MANAGEMENT IN GAYO COFFEE-BASED AGROFORESTRY SYSTEM: The Case of Mude Nosar Village, Central Aceh Regency Hartoyo, Adisti Permatasari Putri; Hutagalung, Labana; Kulsum, Fifit; Sunkar, Arzyana; Herliyana, Elis Nina; Hidayati, Syafitri
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 13 No 1 (2023): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.13.1.37-48

Abstract

Gayo coffee has many benefits in terms of the environment, economy, and socio-cultural aspects, especially for the Gayo tribe. Recently, Gayo coffee has been the main commodity for the plant cultivation of the Gayo tribe, including the Mude Nosar as local farmers. One of the ways to cultivate Gayo coffee is through an agroforestry system. However, limited reports on the tree species composition and its management in Gayo coffee-based agroforestry needs to be explored. This study aims i) to identify the tree species composition and structure, as well as 2) to analyze the management of Gayo coffee-based agroforestry system in Mude Nosar Village. The study method used plot establishment for vegetation analysis, and interviewed the Gayo coffee farmers. The results showed that the number of tree species at all growth stages was 26 species. The highest Important Value Index (IVI) at the understory and sapling level in order was rumput kerbau (Paspalum conjugatum) and Gayo coffee (Coffea arabica), while at the seedling, pole, and tree levels were dominated by lamtoro (Leucaena leucocephala). The local farmers often use lamtoro as a shade tree for Gayo coffee in agroforestry system. The species diversity index (H') showed low values at all growth levels, except for understory plants with moderate values. The horizontal structure of the tree stand showed an inverted J curve, meaning that the regeneration rate is normal. The vertical structure of the tree stand belongs to strata C and D. The local farmers have applied good Gayo coffee management practices through an agroforestry system including land and seed preparation, planting, maintenance, and harvesting techniques. Coffee seeds and seedlings are from natural regeneration. Plant maintenance techniques are carried out by weeding, pruning, organic fertilization, and controlling pests and diseases. The harvest coffee season is generally twice a year. The management of Gayo coffee using an agroforestry system impacts the ecological, economic, and social aspects.
Komposisi jenis dan struktur tegakan Shorea stenoptera Burck di KHDTK Haurbentes, Bogor, Jawa Barat Mudzaky, Rafi Hanif; Pamoengkas, Prijanto; Hartoyo, Adisti Permatasari Putri
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 13 No 4 (2023): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.13.4.644-655

Abstract

Luasan hutan di Indonesia yang semakin berkurang akibat deforestasi memerlukan pengelolaan hutan lestari. Shorea stenoptera Burck merupakan salah satu jenis endemik tanaman kehutanan di Borneo. IUCN menyatakan bahwa jenis tersebut termasuk ke dalam status hampir terancam (Near Threatened). Tujuan penelitian ini adalah menganalisis komposisi jenis, struktur tegakan, dan regenerasi alami tegakan S. stenoptera, serta mengidentifikasi pengaruh aspek biofisik terhadap keragaan regenerasi alami S. stenoptera di KHDTK Haurbentes, Kabupaten Bogor, Jawa Barat. Metode yang digunakan adalah analisis vegetasi dengan membangun petak pengamatan sebanyak 5 petak. Hasil penelitian menunjukkan bahwa jenis S. stenoptera mendominasi pada setiap tingkat pertumbuhan pada petak pengamatan S. stenoptera. Struktur tegakan menunjukkan kurva J terbalik. Hal tersebut mengindikasikan tegakan S. stenoptera mengalami perubahan formasi ke hutan alam. Regenerasi S. stenoptera menunjukkan regenerasi normal dengan kerapatan individu semakin berkurang seiring bertambahnya kelas diameter. Aspek biofisik seperti kelerengan dan elevasi sangat memengaruhi pertumbuhan S. stenoptera.
Analisis NDVI dan Keanekaragaman Vegetasi Tumbuhan di Zona Tradisional Taman Nasional Gunung Halimun Salak, Bogor Salma Khairunnisa; Prijanto Pamoengkas; Adisti Permatasari Putri Hartoyo
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 14 No 1 (2024): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.14.1.109-118

Abstract

Zona tradisional Taman Nasional Gunung Halimun Salak (TNGHS) merupakan zona yang sangat dimanfaatkan oleh masyarakat setempat untuk memenuhi kebutuhan sehari-hari dengan memanfaatkan sumber daya hutan bukan kayu dan menerapkan sistem agroforestri dengan komoditas utama poh-pohan (Pilea melastomoides). Pemantauan hutan di zona tradisional TNGHS sangat penting dilakukan sebagai bagian dari pengelolaan hutan lestari dan realisasi dukungan program Forestry And Other Land Use (FOLU) Net Sink Indonesia 2030. Penelitian ini bertujuan menganalisis kerapatan vegetasi berdasarkan nilai NDVI; menganalisis tingkat keanekaragaman jenis tumbuhan dan struktur tegakan di zona tradisional TNGHS. Selanjutnya dilakukan pendataan keanekaragaman jenis tumbuhan di kawasan tersebut berdasarkan nilai NDVI kerapatan vegetasi. Nilai NDVI diperoleh menjadi tiga kelas yang memiliki kondisi lahan yang berbeda. Nilai kelas 1 berkisar antara 0,147 sampai 0,273 memiliki kerapatan vegetasi yang rendah. Kelas 2 dari 0,273 sampai 0,319 memiliki kerapatan vegetasi sedang. Sedangkan kelas 3 memiliki kerapatan vegetasi tinggi dengan nilai 0,319 hingga 0,433. Keanekaragaman jenis tumbuhan memiliki 60 jenis yang berbeda dari total tiga kelas. Kerapatan semai lebih rendah dari pancang, namun pada tingkat tiang dan pohon semakin menurun yang menandakan struktur tegakan seimbang. Tingkat semai yang rendah disebabkan oleh terhalangnya pertumbuhan semai akibat pembersihan yang dilakukan oleh masyarakat setempat untuk persiapan penanaman tumbuhan bawah karena masyarakat lebih memilih menanam tumbuhan bawah yang lebih cepat panen dibandingkan semai tumbuhan berkayu.
Monitoring Forest Cover Change and Encroachment Risk Mapping Using the Normalized Difference Fraction Index (NDFI): A Case Study of Gunung HalimunSalak National Park, Indonesia Ahmad Fahrur Rizqi; Hartoyo, Adisti Permatasari Putri; Mursalina Nur Buana; Novia Damayanti; David Anderson Lubis; Yurico Bakhri
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 6 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.6.1060

Abstract

Gunung Halimun Salak National Park (GHSNP) is one of the most biodiversity-rich protected areas in Java, yet it remains highly vulnerable to deforestation and forest degradation. This study examines forest cover dynamics from 1994 to 2024 and projects village-level encroachment risk for 2034. Landsat 5 TM, Landsat 7 ETM+, and Landsat 8–9 OLI imagery were processed in Google Earth Engine to generate the Normalized Difference Fraction Index (NDFI) using spectral mixture analysis of GV, NPV, soil, and shade fractions. Changes in NDFI (ΔNDFI) were used to classify degradation, deforestation, regrowth, and intact forest. Encroachment risk mapping was modeled using a 3 × 3 kernel neighborhood with two analytical approaches: the sum of risk weight and the majority of risks around. Forest cover declined by 19,424 ha between 1994 and 2004, largely driven by illegal encroachment linked to governance uncertainty in 2003. An increase of 6,678 ha during 2004–2014 reflects the impact of restoration initiatives and strengthened area protection, although a subsequent decline of 1,992 ha occurred between 2014 and 2024 due to renewed encroachment. Model evaluation indicates low predictive performance for both kernel methods (Precision 4%). Despite this limitation, areas of elevated risk consistently appeared along forest edges near settlements and footpath access routes. Citorek Kidul was identified as the village most susceptible to encroachment in 2034. Improving the accuracy of encroachment prediction will require the integration of socio-economic drivers and advanced machine-learning approaches capable of capturing the complex and non-linear patterns of forest encroachment.