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dc.contributor.authorMiguel Magaña, Sergio de
dc.contributor.authorGuangyi, Mei
dc.contributor.authorYujun, Sun
dc.contributor.authorHao, Xu
dc.description.abstractA systematic evaluation of nonlinear mixed-effect taper models for volume prediction was performed. Of 21 taper equations with fewer than 5 parameters each, the best 4-parameter fixed-effect model according to fitting statistics was then modified by comparing its values for the parameters total height (H), diameter at breast height (DBH), and aboveground height (h) to modeling data. Seven alternative prediction strategies were compared using the best new equation in the absence of calibration data, which is often unavailable in forestry practice. The results of this study suggest that because calibration may sometimes be a realistic option, though it is rarely used in practical applications, one of the best strategies for improving the accuracy of volume prediction is the strategy with 7 calculated total heights of 3, 6 and 9 trees in the largest, smallest and medium-size categories, respectively. We cannot use the average trees or dominant trees for calculating the random parameter for further predictions. The method described here will allow the user to make the best choices of taper type and the best random-effect calculated strategy for each practical application and situation at tree level.ca_ES
dc.publisherPublic Library of Scienceca_ES
dc.relation.isformatofReproducció del document publicat a:
dc.relation.ispartofPLoS ONE, vol. 10, núm. 10, e0140095ca_ES
dc.rightscc-by, (c) De Miguel et al., 2015ca_ES
dc.titleA mixed-effects model with different strategies for modeling volume in cunninghamia lanceolata plantationsca_ES

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cc-by, (c) De Miguel et al., 2015
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