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  1. Modeling Alaska boreal forests with a controlled trend surface approach

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    Author(s): Mo Zhou; Jingjing Liang
    Date: 2012
    Source: In: McWilliams, Will; Roesch, Francis A. eds. 2012. Monitoring Across Borders: 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists. e-Gen. Tech. Rep. SRS-157. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 25-38.
    Publication Series: Paper (invited, offered, keynote)
    Station: Southern Research Station
    PDF: Download Publication  (2.7 MB)
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    Description

    An approach of Controlled Trend Surface was proposed to simultaneously take into consideration large-scale spatial trends and nonspatial effects. A geospatial model of the Alaska boreal forest was developed from 446 permanent sample plots, which addressed large-scale spatial trends in recruitment, diameter growth, and mortality. The model was tested on two sets of validation plots and the results suggest that the controlled trend surface model was generally more accurate than both nonspatial and conventional trend surface models. With this model, we mapped the forest dynamics of the entire Alaska boreal region by aggregating predicted stand states across the region.

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    Citation

    Zhou, Mo; Liang, Jingjing. 2012. Modeling Alaska boreal forests with a controlled trend surface approach. In: McWilliams, Will; Roesch, Francis A. eds. 2012. Monitoring Across Borders: 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists. e-Gen. Tech. Rep. SRS-157. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 25-38.

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