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    Southern Cross University
    European Forest Institute Mediterranean Office (EFIMED)

    Realizing opportunities in forest growth modelling

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    The world is continually changing: the emergence of new technology and new demands for pertinent information pose new challenges and possibilities for forest management. Are forest growth models keeping up with client needs? To remain relevant, modelers need to anticipate client needs, gauge the data needed to satisfy these demands, develop the tools to collect and analyze these data efficiently, and resolve how best to deliver the resulting models and other findings. Researchers and managers should jointly identify and articulate anticipated needs for the future, and initiate action to satisfy them. New technology that offers potential for innovation in forest growth modelling include modelling software, automated data collection, and animation of model outputs. New sensors in the sky and on forest machines can routinely provide data previously considered unattainable (e.g., tree coordinates, crown dimensions), as census rather than sample data. What does this revolution in data availability imply for forest growth models, especially for our choice of driving variables?

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    Description

    Title : Realizing opportunities in forest growth modelling
    Author(s) : Jerome K Vanclay
    Abstract : The world is continually changing: the emergence of new technology and new demands for pertinent information pose new challenges and possibilities for forest management. Are forest growth models keeping up with client needs? To remain relevant, modelers need to anticipate client needs, gauge the data needed to satisfy these demands, develop the tools to collect and analyze these data efficiently, and resolve how best to deliver the resulting models and other findings. Researchers and managers should jointly identify and articulate anticipated needs for the future, and initiate action to satisfy them. New technology that offers potential for innovation in forest growth modelling include modelling software, automated data collection, and animation of model outputs. New sensors in the sky and on forest machines can routinely provide data previously considered unattainable (e.g., tree coordinates, crown dimensions), as census rather than sample data. What does this revolution in data availability imply for forest growth models, especially for our choice of driving variables?
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2003

    Affiliations Southern Cross University
    Journal : Canadian Journal of Forest Research
    Volume : 33
    Issue : 3
    Publisher : NRC Research Press
    Pages : 536 - 541
    Url : http://www.nrcresearchpress.com/doi/abs/10.1139/x02-117
    Doi : 10.1139/x02-117

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    Jerome's Peer Evaluation activity

    Trusted by 1
    Downloads 425
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    Collected by 1
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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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