Ground-Based Extraction on Salvage Logging in Two High Forests: A Productivity and Cost Analysis

作者
Afraz Iranparast Bodaghi,Mehrdad Nikooy,Ramin Naghdi,Rachele Venanzi,Francesco Latterini,Farzam Tavankar,Rodolfo Picchio
出处
期刊:Forests [Multidisciplinary Digital Publishing Institute]
卷期号:9 (12): 729-729 被引量:34
标识
DOI:10.3390/f9120729
摘要

Working time studies, work productivity, and cost assessments of forest logging are of interest to forest managers and planners. These aspects are particularly important in salvage logging, because of difficulties due to irregularly positioned fallen trees in forest areas, and due to particular aspects related to the absence of work planning. In this research, system productivity and the cost of salvage logging are analyzed for two mountain forests managed with close-to nature-silviculture: the Hyrcanian forest, using extraction by a skidder, and the Camaldoli forest, using extraction by tractors. The system productivity of salvage logging by skidders and tractors was calculated as 1.54 and 0.81 m3·h−1, respectively. In contrast to common logging, system productivity was about 6- to 15-fold lower in salvage logging. The effective cost consumptions for the skidder and tractor were calculated as $72.57 and $118.62 USD·m−3, respectively. For both yards, winching time increased due to increasing winching distance and winching load volume. The same result was determined for skidding time in relation to load volume and distance. The possible cost decreases for the skidder and tractor were calculated as 2.6% and 4.3%, respectively. The results revealed that operational costs for extracting wind-fallen trees are higher than for traditional standing-trees extraction for both situations studied. In both cases, the harvesting costs were higher than the timber price by 10% to 30%. Therefore, extraction of wind-fallen trees has no economic justification in these forests.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
卷卷完成签到,获得积分10
1秒前
xdl120318发布了新的文献求助10
1秒前
2秒前
啦啦啦完成签到,获得积分10
2秒前
酷波er的应助被yerong采纳,获得10
2秒前
2秒前
DrZZ发布了新的文献求助10
3秒前
3秒前
4秒前
怡然的白开水完成签到,获得积分10
4秒前
蜀山完成签到,获得积分10
4秒前
黑怕发布了新的文献求助10
5秒前
隐形曼青的应助被雨肖采纳,获得10
5秒前
执着完成签到,获得积分10
6秒前
张飞飞发布了新的文献求助10
6秒前
难过含烟完成签到 ,获得积分10
6秒前
7秒前
林狗的应助被ff采纳,获得10
7秒前
7秒前
九九发布了新的文献求助10
7秒前
7秒前
杨霖云发布了新的文献求助10
8秒前
8秒前
8秒前
痒痒挠完成签到,获得积分10
8秒前
领导范儿的应助被危莉采纳,获得10
9秒前
ykkkk发布了新的文献求助10
9秒前
hello完成签到,获得积分10
9秒前
zhu关注了科研通微信公众号
10秒前
sc完成签到,获得积分10
10秒前
11秒前
魔幻乘云发布了新的文献求助10
11秒前
大大怪发布了新的文献求助10
11秒前
12秒前
顾矜的应助被哇_你梦里啊采纳,获得10
13秒前
Nole的应助被huangqian采纳,获得10
13秒前
13秒前
15秒前
jia发布了新的文献求助20
15秒前
15秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
A Silent Apostrophe:The Fayum Portraits 520
Organizational Behavior 510
Sing with Understanding: Introduction to Theology in Christian Congregational Song, 3rd ed 330
Auslegung und Untersuchung einer invers ausgelegten Beschaufelung eines einstufigen Axialverdichters mit Vorleitrad (German) 300
AI-Contracting 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7838596
求助须知:如何正确求助?哪些是违规求助? 9360838
关于积分的说明 20617613
捐赠科研通 7432875
什么是DOI,文献DOI怎么找? 3339126
关于科研通互助平台的介绍 2483467
邀请新用户注册赠送积分活动 2360345