skip to main content
10.1145/3164541.3164621acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicuimcConference Proceedingsconference-collections
research-article

Timber Harvesting Damage Prediction for Sustainable Forest Management

Published: 05 January 2018 Publication History

Abstract

Sustaining forest resources has always been a major challenge to many countries with regard to poor timber harvesting practices. The initiative to conserve the forest is especially hard when it comes to managing the harvesting activities in the tropical rainforest. As tropical rainforest is condensed with trees of multi ages and species, the trees are of commercial and non-commercial types, harvesting of a specific tree must be carefully planned so that the damage caused by the harvested tree to the surrounding stands could be minimized. Fallen trees and broken trunks are reported to be the most common fatal damage caused by the tree trunk and the crown of the felling tree. As part of our conservation strategy for sustaining tropical forest, this initial study started with observing and keeping the tree-mapping data for a particular tropical forest in Malaysia such as the (x,y) tree coordinates, tree heights, diameter at breast height (DBHs), tree species and prices into the database. This data will then be used as input to the algorithm that is designed for predicting the damage caused by trunk of the felling tree at the specified degree. The result of the algorithm will identify the most feasible tree felling direction--that is the felling degree which will give the minimum damage cost.

References

[1]
Forestry Department of Peninsular Malaysia, updated 2016. https://www.forestry.gov.my/index.php/en/2016-06-07-02-31-39/logs-price
[2]
A. Shenkin, et.al, 2015. Fates of trees damaged by logging in Amazonian Bolivia, Forest Ecology and Management 357, 50--59.
[3]
E. Rutishauser, et.al, 2010. Crown fragmentation assessment in tropical trees: Method, insights and perspectives, Forest Ecology and Management 261, 400--407.
[4]
K. Jusoff and M. H. Ismail, 2009. The Economic and Environmental Impact of a Suitable Forest Harvest Zone Allocation Using a GIS Analysis, International Business Research. 2 (2), 208--217.
[5]
G. Pichler, et.al, 2017. Comparison of remote sensing based RFID and standard tree marking for timber harvesting, Computers and Electronics in Agriculture, 140, 214--226.
[6]
Ministry of Plantation Industries and Commodities, (2017, November 22), TIMBER: Sustainable logging benefits environment and economy. Retrieved from /www.mpic.gov.my/mpic/index.php/en/media-mpic-vbi/mpic-in-the-news/192-news-timber/3877-timber-sustainable-logging-benefits-environment-and-economy.
[7]
J.E. Bicknell, M.J. Struebig, P.E. David and Z.G. Davies, 2014, Improved timber harvest techniques maintain biodiversity in tropical forests, Current Biology, 24 (23) R1119-R1120. Retrieved from http://www.conservationmagazine.org/2014/12/advocating-selective-logging-misses-the-forest-for-the-trees/
[8]
V.A.J. Adekunle, A.O. Olagoke, 2011, The impacts of timber harvesting on residual trees and seedlings in a tropical rain forest ecosystem, southwestern Nigeria. Retrieved from

Index Terms

  1. Timber Harvesting Damage Prediction for Sustainable Forest Management

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication
    January 2018
    628 pages
    ISBN:9781450363853
    DOI:10.1145/3164541
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • SKKU: SUNGKYUNKWAN UNIVERSITY

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 January 2018

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Prediction
    2. damage cost
    3. felling direction
    4. sustainable

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    IMCOM '18

    Acceptance Rates

    IMCOM '18 Paper Acceptance Rate 100 of 255 submissions, 39%;
    Overall Acceptance Rate 213 of 621 submissions, 34%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 82
      Total Downloads
    • Downloads (Last 12 months)2
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 08 Feb 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media