Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/32538

Title: Stand structure impacts on forest modelling
Authors: Gonçalves, Ana Cristina
Keywords: diameter
height
volume
mathematical methods
estimation functions
Issue Date: 2022
Publisher: MDPI
Citation: Gonçalves, A.C.; 2022. Stand structure impacts on forest modelling. Applied Sciences, 12(14), 6963.
Abstract: Modelling is essential in forest management as it enables the prediction of productions and yields, and to develop and test alternative models of silviculture. The allometry of trees depends on a set of factors, which include species, stand structure, density and site. Several mathematical methods and techniques can be used to model the individual tree allometry. The variability of tree allometry results in a wide range of functions to predict diameter at breast height, total height and volume. The first functions were developed for pure even-aged stands from crown closure up to the end of the production cycle. However, those models originated biased predictions when used in mixed, uneven-aged, young or older stands and in different sites. Additionally, some modelling methods attain better performances than others. This review highlights the importance of species, stand structure and modelling methods and techniques in the accuracy and precision of the predictions of diameter at breast height, total height and volume.
URI: https://doi.org/10.3390/app12146963
http://hdl.handle.net/10174/32538
Type: article
Appears in Collections:ERU - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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