Year-end Sale % OFF 
Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Ecological applications : a publication of the Ecological Society of America
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
