Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Carrie R. Levine; Charles V Cogbill; Brandon M. Collins; Andrew J. Larson; James A. Lutz; Malcolm P. North; Christina M. Restaino; Hugh D. Safford; Scott L. Stephens; John J. Battles
    Date: 2019
    Source: Ecological Applications
    Publication Series: Scientific Journal (JRNL)
    Station: Pacific Southwest Research Station
    PDF: View PDF  (424.0 KB)

    Description

    Researchers throughout the US have used the General Land Office (GLO) surveys of the late 19th and early 20th centuries to estimate historical forest conditions. These surveys were conducted throughout the US and represent a systematic, historical sample of trees across a broad geographic area. The challenge of using GLO survey data is the accurate estimation of density from sparse witness tree data. Levine et al. (2017) tested the accuracy and precision of four plotless density estimators that can be applied to GLO survey sample data, including the Cottam, Pollard, Morisita, and mean harmonic Voronoi density estimators. Baker and Williams (2018) contend that the major conclusions in Levine et al. (2017) are not valid. Based on this new analysis of the data, we confirmed the two main conclusions of Levine with respect to the MHVD.

    Publication Notes

    • You may send email to psw_communications@fs.fed.us to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • 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.

    Citation

    Levine, Carrie R.; Cogbill, Charles V.; Collins, Brandon M.; Larson, Andrew J.; Lutz, James A.; North, Malcolm P.; Restaino, Christina M.; Safford, Hugh D.; Stephens, Scott L.; Battles, John J. 2019. Estimating historical forest density from land‐survey data: a response to Baker and Williams (2018). Ecological Applications. 30: 1103. https://doi.org/10.1002/eap.1968.

    Cited

    Google Scholar

    Keywords

    Forest, California, density, plotless density estimator, Voronoi-area

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/58804