Optimizing Forest Harvesting Efficiency: A Comparative Analysis of Small-Sized Logging Crews Using Cable-Grapple Skidders

Author:

Stoilov Stanimir1,Nichev Pavel1,Angelov Georgi1,Chavenetidou Marina2,Tsioras Petros A.2ORCID

Affiliation:

1. Department of Technologies and Mechanization of Forestry, Faculty of Forestry, University of Forestry, 10, Kliment Ohridski Blvd., 1797 Sofia, Bulgaria

2. Laboratory of Forest Utilization, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 227, 54124 Thessaloniki, Greece

Abstract

Examination of the technical and economic dimensions of skidding operations is imperative for sustainable forest management, offering invaluable insights crucial for the formulation of sustainable forestry strategies. In many countries, the shift from modified agricultural machinery to purpose-built forest machinery has become apparent in forest operations. However, this transition often accompanies a reduction in logging crew size, raising new questions about productivity, costs, and ergonomics of the introduced harvesting systems. This study investigates two skidding systems utilizing the cable-grapple skidder Welte 115/5L, differing in work team size: one with one skidder operator and two chainsaw operators (WT3) and the other with one skidder operator and one chainsaw operator (WT2). Conducted in natural European beech forests in southern Bulgaria, the research focused on the group shelterwood system within the Natura 2000 network. Both WT3 and WT2 exhibited net skidding productivity of 9.96 m3 PMH−1 over a mean skidding distance of 300 m and a mean winching distance of 20 m, outperforming conventional systems in the area. Despite this, there were notable differences in gross skidding productivity (8.64 m3 SMH−1 for WT3 vs. 7.30 m3 SMH−1 for WT2), affecting skidding cost (EUR 5.41 m−3 for WT3 vs. EUR 6.62 m−3 for WT2) and unit production cost (EUR 9.33 m−3 vs. EUR 11.53 m−3). This study highlights that the cable-grapple skidder can be effectively employed by smaller teams, providing higher productivity, lower unit cost, and increased flexibility during piling, primarily due to the presence of the knuckle-boom loader. While WT2 experienced more delays and production pressure, the findings suggest that WT3 represents a balanced option for small logging crews, ensuring sustainable forest operations in the face of workforce challenges.

Funder

the University of Forestry, Sofia, Bulgaria

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference43 articles.

1. Ministry of Agriculture Food and Forests (2023, October 28). Annual Report for the Year 2020, Available online: https://www.mzh.government.bg/media/filer_public/2021/05/10/agricultural_report_2020.pdf.

2. Executive Forest Agency (2023, October 28). Action Plan for Efficient Use of Forest Wood Biomass, Bulgaria. Sustainable Regional Bioenergy policies: A Game Changer. Ministry of Agriculture Food and Forests. Available online: https://projects2014-2020.interregeurope.eu/fileadmin/user_upload/tx_tevprojects/library/file_1558950282.pdf.

3. USDA Foreign Agricultural Service (2023, March 21). Bulgaria—Wood Products Sector Update, Available online: https://apps.fas.usda.gov/newgainapi/api/report/downloadreportbyfilename?filename=Wood%20Products%20Sector%20Update_Sofia_Bulgaria_1-31-2017.pdf.

4. An alternative skidding technology to the current use of crawler tractors in Alpine logging operations;Spinelli;J. Clean. Prod.,2012

5. Evaluation of different wood harvesting systems in typical Mediterranean small-scale forests: A Southern Italian case study;Cataldo;Ann. Silvic. Res.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3