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    Southern Cross University
    European Forest Institute Mediterranean Office (EFIMED)

    MODELLING SELECTION HARVESTING IN TROPICAL RAIN FORESTS

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    Modelling selection harvesting in tropical rain forests. Long term yield estimates for natural forests require a harvesting model to enable future yields to be estimated reliably. The model should predict the felled stems, the proportion of these which are merchantable, and any damage to the residual stand. Regression analyses was used to develop a model of current logging practice in the rain forests of north Queensland. Logistic functions predict the probability of any tree being marked for logging, the probability of a felled tree being merchantable, and the probability of any tree in the residual stand being damaged by logging. Important predictor variables included tree species and size, merchantable basal area, basal area logged, logging history, and topography. There was no evidence to suggest that soil type or site quality influenced current treemarking practice. The approach is applicable to other mixed forest types managed for selection logging.

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    Description

    Title : MODELLING SELECTION HARVESTING IN TROPICAL RAIN FORESTS
    Author(s) : Jerome K Vanclay
    Abstract : Modelling selection harvesting in tropical rain forests. Long term yield estimates for natural forests require a harvesting model to enable future yields to be estimated reliably. The model should predict the felled stems, the proportion of these which are merchantable, and any damage to the residual stand. Regression analyses was used to develop a model of current logging practice in the rain forests of north Queensland. Logistic functions predict the probability of any tree being marked for logging, the probability of a felled tree being merchantable, and the probability of any tree in the residual stand being damaged by logging. Important predictor variables included tree species and size, merchantable basal area, basal area logged, logging history, and topography. There was no evidence to suggest that soil type or site quality influenced current treemarking practice. The approach is applicable to other mixed forest types managed for selection logging.
    Keywords : logistic regression, logging damage, selection logging moist, tropical high forest, yield calculation polycyclic

    Subject : unspecified
    Area : Other
    Language : English
    Year : 1989

    Affiliations Southern Cross University
    Journal : Journal of Tropical Forest Science
    Volume : 1
    Issue : 3
    Pages : 280-294
    Url : http://espace.library.uq.edu.au/eserv/UQ:8398/R014_jfts_pp.pdf

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    Jerome's Peer Evaluation activity

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    • Habiba Hassan Wassef, Senior professional, Independent international expert, United Nations, WHO, National Coordinator for the 7th European Framework Research Programme, National Research Center in Cairo, Egypt.
    • Thuy Nguyen, Student, Ph.D. Level, Silviculture Research Institute, Ha Noi, Vietnam, The University of Melbourne.
    • Guillaume Dupuy d'Angeac, Publisher, Collective Developments, HEC Alumni, Peerevaluation.
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