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Fred Martin, Ted Keeley Washington State Dept of Natural Resources Judy Cushing, Lee Zeman, Nik Molnar Natalie Kopytko, Juli Mallett Anne McIntosh, Nalini Nadkarni The Evergreen State College, Olympia, WA Additional Contributors: B. Van Pelt, R. Dial, C. LeRoy, J. Franklin, A. Carey, D. Fischer, E. Menendez, C. Pierce, M. Finch, Y. Kim, E. Murphy- Hill, A. Crosland, T. Brooks, J. Thomas. Funded by NSF IIS 05-0570, 06- 39588, DBI-0417311, CISE 01-31952, BIR 99-75510, 96-30316, BIO 96-30316, 99-75510. Lois Delcambre, David Maier Portland State University http:// alala.evergreen.edu/dnr http://canopy.evergreen.edu/canopydb [email protected] Ecology Research Resource Management Models What we are doing: • Revising visualizations & metrics developed for researchers for resource management. • Surveying experts to characterize crowns from a research database. • Producing Crown Catalog w/ ratings using revised rules. • Conducting ecology research to analyze crown gaps. What we will do next: • Evaluate new rules and use of crown catalog. • Scale up in space – integrate field data with remotely sensed LIDAR data. Future CS Research Directions: • More end-user programmed visualization, incl. animation. • Better pattern recognition. • Interpolation and extrapolation for missing data. • Better, dynamic models that run forward and backward, and can integrate new data. Help natural resource managers respond to policy & environmental change by providing ecology research results have want Which Trees to Leave? 100 Crowns Among 1000 Trees in the 1000-Year Chronosequence Which Tree is or has : Best Wildlife Tree? Many Crown Gaps? Legacy Tree? Economic Value? Our managers want: • Refined rules for Leave Tree selection. • Help communicating decisions & outcomes to harvesters, the public, ecologists. • Research results at higher spatial and temporal scales and that are applicable to incomplete data.

Fred Martin, Ted Keeley Washington State Dept of Natural Resources

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Ecology Research. have. want. Models. Resource Management. Visualizing Tree Crowns for Forest Managers:. Informatics Tools Enhance Natural Resource Management. http://alala.evergreen.edu/dnr. Judy Cushing, Lee Zeman, Nik Molnar Natalie Kopytko, Juli Mallett - PowerPoint PPT Presentation

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Page 1: Fred Martin, Ted Keeley Washington State  Dept of Natural Resources

Fred Martin, Ted KeeleyWashington State

Dept of Natural Resources

Judy Cushing, Lee Zeman, Nik MolnarNatalie Kopytko, Juli Mallett

Anne McIntosh, Nalini NadkarniThe Evergreen State College, Olympia, WA

Additional Contributors: B. Van Pelt, R. Dial, C. LeRoy, J. Franklin, A. Carey, D. Fischer, E. Menendez, C. Pierce, M. Finch, Y. Kim, E. Murphy-Hill, A. Crosland, T. Brooks, J. Thomas. Funded by NSF IIS 05-0570, 06-39588, DBI-0417311, CISE 01-31952, BIR 99-75510, 96-30316, BIO 96-30316, 99-75510.

Lois Delcambre, David Maier

Portland State University

http://alala.evergreen.edu/dnr

http://canopy.evergreen.edu/canopydb [email protected]

Ecology Research

Resource

ManagementModels

What we are doing:

• Revising visualizations & metrics developed for researchers for resource management.

• Surveying experts to characterize crowns from a research database.

• Producing Crown Catalog w/ ratings using revised rules.

• Conducting ecology research to analyze crown gaps.

What we will do next:

• Evaluate new rules and use of crown catalog.

• Scale up in space – integrate field data with remotely sensed LIDAR data.

Future CS Research Directions:

• More end-user programmed visualization, incl. animation.

• Better pattern recognition.

• Interpolation and extrapolation for missing data.

• Better, dynamic models that run forward and backward, and can integrate new data.

Help natural resource managers respond to policy & environmental change

by providing ecology research results

have want

Which Trees to Leave?100 Crowns Among 1000 Trees

in the 1000-Year Chronosequence

Which Tree is or has:Best Wildlife Tree?Many Crown Gaps?

Legacy Tree?Economic Value?

Our managers want:• Refined rules for Leave Tree selection.

• Help communicating decisions & outcomes to harvesters, the public, ecologists.

• Research results at higher spatial and temporal scales and that are applicable to incomplete data.