Skip to page content
USDA Forest Service
  
Treesearch

Research & Development Treesearch

 
Treesearch Home
About Treesearch
Contact Us
Research & Development
Forest Products Lab
International Institute of Tropical Forestry
Northern
Pacific Northwest
Pacific Southwest
Rocky Mountain
Southern Research Station
Help
 

Science.gov - We Participate


USA.gov  Government Made Easy


Global Forest Information Service

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

You are here: Home / Search / Publication Information
Bookmark and Share

Publication Information

View PDF (626 KB)

Title: Uncertainty of large-area estimates of indicators of forest structural gamma diversity: A study based on national forest inventory data

Author: Winter, Susanne; Böck, Andreas; McRoberts, Ronald E.;

Date: 2012

Source: Forest Science. 58(3): 284-293.

Publication Series: Scientific Journal (JRNL)

Description: Tree diameter and height are commonly measured forest structural variables, and indicators based on them are candidates for assessing forest diversity. We conducted our study on the uncertainty of estimates for mostly large geographic scales for four indicators of forest structural gamma diversity: mean tree diameter, mean tree height, and standard deviations of tree diameter and tree height. We had three objectives: to estimate the number of national forest inventory (NFI) plots whose data must be aggregated to obtain precise estimates of the indicators of gamma forest structural diversity; to assess differences in structural associations with respect to different forest categories; and to assess the effects of geographic distance on estimates of indicators of forest structural diversity. Uncertainty assessments were conducted using a bootstrap resampling approach and a geospatial approach to assess the effects of geographic distances. Our study relied on a database populated with NFI plot data (12,536 plots and 256,513 trees) from 13 European countries and three ecoprovinces of the United States. The results were threefold. First, data from approximately 150 NFI plots randomly selected from a large database are generally sufficient to estimate standard deviations (SDs) of diameter and height as indicators of structural forest diversity at large scales with acceptable precision. Second, the uncertainties of the estimates were generally greater for forest categories in Europe than in the United States with the exception of Douglas fir forests in the Pacific Northwest of the United States. Third, diameter and height gamma diversities expressed by the means and SDs of distributions of tree diameter and tree height were more similar for geographic areas separated by smaller distances.

Keywords: national forest inventory, international reporting on biodiversity, tree diameter and height, spatial autocorrelation

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.
  • This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
  • Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, shobrla@fs.fed.us if you notice any errors which make this publication unusable.

XML: View XML

Citation:


Winter, Susanne; Böck, Andreas; McRoberts, Ronald E. 2012. Uncertainty of large-area estimates of indicators of forest structural gamma diversity: A study based on national forest inventory data. Forest Science. 58(3): 284-293.

 


 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.