Low Impact Felling Distance and Allowable Number of Felled Trees in TPTI System

Budiaman, Ahmad; Pradata, Adita Agung

doi:10.7226/jtfm.19.3.194

Cited by 7 publications

(6 citation statements)

References 22 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Departemen Manajemen Hutan, Fakultas Kehutanan, Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680 * Penulis Korespondensi: Email: budiaman@apps.ipb.ac.id Pemanenan hutan alam dengan sistem tebang pilih dan tanam Indonesia tidak hanya menghasilkan batang komersial, tetapi juga menghasilkan kayu limbah (logging residue). Tahapan pemanenan hutan yang berpotensi menghasilkan kayu limbah terbesar adalah kegiatan penebangan pohon (Budiaman & Pradata 2013). Kayu limbah yang terjadi akibat penebangan dengan sistem tebang pilih tidak hanya berasal dari pohon yang ditebang, tetapi juga berasal dari pohon yang tidak ditebang, yang rusak tertimpa pohon yang ditebang.…”

Section: Pendahuluanunclassified

Logging Residues of Low Harvest Intensity in Indonesian Forest Concession

Budiaman¹,

Mubarak²,

Lismaya³

2020

JIPI

View full text Add to dashboard Cite

ABSTRAKPemanenan hutan produksi alam di Indonesia dilakukan dengan intensitas tinggi sehingga menyebabkan perubahan ketersediaan biomassa hutan. Beberapa penelitian menunjukkan bahwa terdapat korelasi kuat antara intensitas pemanenan hutan dengan pengurangan volume kayu di hutan. Kondisi ini dapat mengganggu kestabilan ekosistem hutan. Studi ini bertujuan untuk menghitung dan mengklasifikasikan limbah tebang pilih dengan intensitas rendah (satu pohon plot -1 ) di izin usaha pemanfaatan hasil hutan kayu-hutan alam (IUPHHK-HA). Penelitian ini dilakukan di dua pengusahaan hutan alam, yaitu di Kalimantan Utara dan Papua Barat. Pengukuran kayu limbah dilakukan di 30 plot lingkaran dinamis dengan jari-jari sebesar 2 kali tinggi pohon yang ditebang. Rata-rata luas plot contoh di Perusahaan A sebesar 2,5 ha plot -1 dan di Papua Barat sebesar 1,6 ha plot -1 . Plot contoh diletakkan secara acak di salah satu petak tebang. Semua kayu limbah penebangan yang memiliki dbh ≥10 cm diukur setelah penebangan. Limbah penebangan diklasifikasikan ke dalam dua asal, yaitu pohon ditebang dan tidak ditebang, dan empat bentuk limbah penebangan, yaitu pohon roboh, batang patah, tunggak, cabang, dan ranting. Intensitas penebangan rendah menghasilkan kayu limbah dengan kisaran 4,985,55 m 3 ha -1 . Hasil penelitian menunjukkan bahwa pohon yang ditebang menghasilkan limbah penebangan (66%) yang lebih besar dibandingkan dengan pohon yang tidak ditebang (34%). Bentuk limbah penebangan yang dihasilkan dari pohon yang ditebang adalah cabang dan ranting, batang patah, dan tunggak. Limbah kayu yang berasal dari pohon yang tidak ditebang didominasi oleh pohon roboh dan diikuti oleh batang patah, cabang, dan ranting. Kata kunci: hutan alam, intensitas penebangan, konservasi hutan, tebang pilih ABSTRACT Forest harvesting of natural-forest production in Indonesia is carried out with a high felling intensity, thus has changed the forest biomass. Several studies have shown a strong correlation between harvesting intensity and the reduction of wood volume in the forest. This condition may disrupt the stability of forest ecosystem. This study aimed to calculate and classificate logging residue of low-harvest intensity (one tree plots -1 ) in Indonesian Forest Concession. The study was conducted in private concessions in North Kalimantan and West Papua. Measurements were made in 30 dynamic circular sample plots with a radius of 2 times the height of the felled tree. The average size in North Kalimantan was 2.5 ha plot -1 and in West Papua was 1.5 ha plot -1 . The sample plots were randomly placed in the cutting compartment. All logging residues with dbh ≥10 cm were measured after felling. The logging residue is classified into felled and unfelled trees and four types of logging residue (fallen tree, broken stem, stump, branches and twigs). The low felling intensity produced logging residue ranging from 4.985.55 m 3 ha -1 . The result indicated that logging residue came from felled trees (66%) was higher than those from unfelled trees (34%). The most commo...

show abstract

Section: Pendahuluanunclassified

Logging Residues of Low Harvest Intensity in Indonesian Forest Concession

Budiaman¹,

Mubarak²,

Lismaya³

2020

JIPI

View full text Add to dashboard Cite

show abstract

“…Based on this understanding, the following research results were obtained. The stages of forest harvesting that have the potential to produce the largest waste wood are tree felling activities [7].…”

Section: Potential Logging Wastementioning

confidence: 99%

Potential and value of utilization of community forest logging waste in Cenrana Baru Village, Cenrana District, Maros Regency

Mujetahid

Dassir

Faradiba

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

This study aims to determine the potential and value of using logging waste in community forests in Cenrana Baru Village, Cenrana District, Maros Regency. This research was carried out from August 2019 – January 2022 in a community forest. Based on the results of the study, it was found that the largest waste potential of the average volume of waste in acacia trees is 0.28 m3 (30.39%), stump waste 0.06 m3 (11.21%), waste above branch free 0.07 m3 (8.89%), branch waste 0.04 m3 (4.79%), while in the candlenut tree the largest waste is the main trunk 0.80 m3 (35.87%), stump waste 0.14 m3 (6.75%), branch waste 0.13 m3 (6.41%), waste above branch free 0.09 m3 (4.83%). Community forest logging waste is used by the community for making garden fences and making charcoal from acacia wood, this waste has a price value of IDR 15,000 per stem. while in the candlenut tree, the largest waste is the main trunk 0.80 m3 (35.87%), stump waste 0.14 m3 (6.75%), branch waste 0.13 m3 (6.41%), the above waste is free to branch 0.09 m3 (4.83%).

show abstract

“…For the management of this forest, low intensity logging that opens small canopy gaps is a potentially sustainable approach . Over the past decades, the GGA has been selectively harvesting the fots management conducted in Indonesia (Budiaman and Pradata 2014). The cutting cycle is presently at 35 years.…”

Section: Study Area and Sitesmentioning

confidence: 99%

Carbon recovery following selective logging in tropical rainforests in Kalimantan, Indonesia

Butarbutar¹,

Soedirman

Neupane

et al. 2019

For. Ecosyst.

View full text Add to dashboard Cite

Background: The knowledge gap regarding post-logging carbon recovery by increased growth is becoming more crucial to understand the significant contribution of forest to climate change mitigation. We assessed the ability of tropical forests in Indonesia to recover carbon following conventional logging. We evaluated carbon re-growth of 10,415 trees in permanent sample plots (PSPs) in East Kalimantan. Four different post-harvesting silvicultural treatments including liberation, refining, thinning, and control were applied in the PSPs. We estimated the carbon recovery period using three different scenarios of total carbon losses due to logging. In the first scenario, we used an existing factor of logging damage and increased it for assuming the range of carbon losses due to different logging practices.Results: Under the existing conventional logging practice, the concession annually emits 51.18 tC•ha − 1 , of which 16.8% are extracted from the forest as raw timber, 38% are logging losses, and 45.2% are emissions due to infrastructure development for logging operation. Increasing the logging damage factor two and three times led to an increase in carbon emission to 70.76 and 90.34 tC•ha − 1 , respectively. The recovery time of the aboveground carbon is 26 years in Scenario 1, 36 years in Scenario 2, and 46 years in Scenario 3. We found no significant effect of the silvicultural treatment type on carbon recovery, but significant effect of the sites was observed. Conclusions: We found that the time taken to restore the carbon to the level found in undisturbed forests is considerably longer than the current intervention cycles. The time needed to recover biomass and carbon-stock noticeably depends on the intensity of logging interventions, demonstrating the benefits of using improved harvesting e.g., reduced impact logging to reduce emissions. The study found that site variability has a significant effect on the carbon recovery time. Different silvicultural treatments, on the other hand, have no effect on the recovery time. The study suggests that it is not appropriate to establish an intervention cycle based on arbitrary choice; the time between interventions must be based on logging losses and site specific growth potential to ensure sustainable management of forests.

show abstract

Low Impact Felling Distance and Allowable Number of Felled Trees in TPTI System

Cited by 7 publications

References 22 publications

Logging Residues of Low Harvest Intensity in Indonesian Forest Concession

Logging Residues of Low Harvest Intensity in Indonesian Forest Concession

Potential and value of utilization of community forest logging waste in Cenrana Baru Village, Cenrana District, Maros Regency

Carbon recovery following selective logging in tropical rainforests in Kalimantan, Indonesia

Contact Info

Product

Resources

About