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    Author(s): Hong S. He; Daniel C. Dey; Xiuli Fan; Mevin B. Hooten; John M. Kabrick; Christopher K. Wikle; Zhaofei Fan
    Date: 2007
    Source: Plant Ecology. 191: 85-94.
    Publication Series: Scientific Journal (JRNL)
    Station: Northern Research Station
    PDF: View PDF  (340.49 KB)


    In the Midwestern United States, the GeneralLandOffice (GLO) survey records provide the only reasonably accurate data source of forest composition and tree species distribution at the time of pre-European settlement (circa late 1800 to early 1850). However, GLO data have two fundamental limitations: coarse spatial resolutions (the square mile section and half mile distance between quarter corner and section corner) and point data format, which are insufficient to describe vegetation that is continuously distributed over the landscape. Thus, geographic information systemand statistical inference methods to map GLO data and reconstruct historical vegetation are needed. In this study, we applied a hierarchical Bayesian approach that combines species and environment relationships and explicit spatial dependence to map GLO data.

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    He, Hong S.; Dey, Daniel C.; Fan, Xiuli; Hooten, Mevin B.; Kabrick, John M.; Wikle, Christopher K.; Fan, Zhaofei. 2007. Mapping pre-European settlement vegetation at fine resolutions using a hierarchical Bayesian model and GIS. Plant Ecology. 191: 85-94.


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    GLO, GIS, Hierarchical Bayesian models, Presettlement vegetation, Missouri

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