Title: Sampling and estimation procedures for the vegetation diversity and structure indicator
Author: Schulz, Bethany K.; Bechtold, William A.; Zarnoch, Stanley J.
Source: Gen. Tech. Rep. PNW-GTR-781. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 53 p
Publication Series: General Technical Report (GTR)
Description: The Vegetation Diversity and Structure Indicator (VEG) is an extensive inventory of vascular plants in the forests of the United States. The VEG indicator provides baseline data to assess trends in forest vascular plant species richness and composition, and the relative abundance and spatial distribution of those species, including invasive and introduced species. The VEG indicator is one of several sets of measures collected by the Forest Inventory and Analysis (FIA) Program of the USDA Forest Service to assess forest health. This document describes the sampling design, field data collection methods, primary output objectives, and estimation procedures for summarizing FIA VEG data.
Keywords: FIA, forest health monitoring, forest structure, forest vegetation, plot-based sampling, species composition, species distribution, species richness
- 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.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication. (Please specify exactly
which publication you are requesting and your mailing address.)
XML: View XML
Schulz, Bethany K.; Bechtold, William A.; Zarnoch, Stanley J. 2009. Sampling and estimation procedures for the vegetation diversity and structure indicator. Gen. Tech. Rep. PNW-GTR-781. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 53 p
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility