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Visualizing tree crowns for forest managers: informatics tools enhance natural resource management

Published: 18 May 2008 Publication History

Abstract

Ecologists aim to answer fundamental scientific questions regarding the natural world. Resource managers make practical decisions about natural resources, often with incomplete data. Our goal is to make research results more available to managers who decide which trees to leave when a forest stand is harvested. To that end, we work with Washington State resource managers and forest canopy researchers to: 1) determine what information technology might make new ecology research more applicable to managers, 2) articulate ecological values that dictate leave trees, 3) understand how those values are communicated. We have designed a catalog of tree crown structure with visualizations and metrics that help interpret complex research data for practitioners. This work extends prior NSF work to build research tools for ecologists, and addresses information technology issues of data presentation and data quality.

References

[1]
Anderson, H-E, Reutebuch, S. E., and McGaughey, R. J. 2006. Active Remote Sensing, Ch. 3 in G. Shao and K. M. Reynolds, Computer Applications in Sustainable Forest Management. Springer, pp. 44--66.
[2]
Borchert, R. and P. B. Tomlinson. 1984. Architecture and crown geometry in Tabebuia rosea (Bignoniaceae).
[3]
Cushing, J. B., N. M. Nadkarni, M. Finch, A. C. S. Fiala, E. Murphy-Hill, L. Delcambre, and D. Maier. 2007. Component-based end-user database design for ecologists. Journal of Intelligent Information Systems. 29: 7--24. See also http://canopy.evergreen.edu.
[4]
Hallé, F., R. A. Oldeman and P. B. Tomlinson. 1978. Tropical trees and forests: an architectural analysis. Springer-Verlag, New York, NY. American Journal of Botany 71:958--969.
[5]
Van Pelt, R., and N. M. Nadkarni. 2004. Horizontal and vertical distribution of canopy structural elements of Pseudotsuga menziesii forests in the Pacific Northwest. Forest Science 50:326--3.

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    Published In

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    dg.o '08: Proceedings of the 2008 international conference on Digital government research
    May 2008
    488 pages
    ISBN:9781605580999

    Sponsors

    • Routledge
    • Springer
    • Elsevier
    • Cefrio
    • NCDG: National Center for Digital Government

    Publisher

    Digital Government Society of North America

    Publication History

    Published: 18 May 2008

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    Author Tags

    1. data integration
    2. data quality
    3. data visualization
    4. decision support
    5. ecoinformatics
    6. forest canopy structure
    7. human-computer interaction
    8. knowledge representation
    9. scaling

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    • Research-article

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    dg.o '08
    Sponsor:
    • NCDG
    dg.o '08: Digital government research
    May 18 - 21, 2008
    Montreal, Canada

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    Overall Acceptance Rate 150 of 271 submissions, 55%

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