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Publication Information

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Title: Predictive mapping for tree sizes and densities in southeast Alaska.

Author: Caouette, John P.; DeGayner, Eugene J.;

Date: 2005

Source: Landscape and Urban Planning. 72: 49-63

Publication Series: Scientific Journal (JRNL)

Description: The Forest Service has relied on a single forest measure, timber volume, to meet many management and planning information needs in southeast Alaska. This economic-based categorization of forest types tends to mask critical information relevant to other contemporary forest-management issues, such as modeling forest structure, ecosystem diversity, or wildlife habitat. We propose the joint distribution of tree density and mean tree diameter as a more comprehensive set of forest measures. Focusing on those measures, we build a predictive-mapping model by using existing geographic information system data resources and existing ground-sampled inventory data. The utility of our predictive-mapping model will need to be tested with additional intensive ground-sampled data and in applications that involve forest managers, planners, and biologists. Such tests will reveal the model's utility in addressing contemporary forest management problems and information needs.

Keywords: Old-growth forests, forest structure, forest measurement, predictive mapping, stand density index, southeast Alaska, Tongass National Forest

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

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Caouette, John P.; DeGayner, Eugene J. 2005. Predictive mapping for tree sizes and densities in southeast Alaska. Landscape and Urban Planning. 72: 49-63

 


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