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- Title
ESTRATÉGIAS DE AGRUPAMENTO DE DADOS PARA A MODELAGEM HIPSOMÉTRICA E SEUS REFLEXOS NA ESTIMATIVA DE VOLUME EM PLANTIOS DE Pinus spp.
- Authors
Valerio Kohler, Sintia; Figueiredo Filho, Afonso; Koehler, Henrique Soares; Arce, Julio Eduardo; de Souza Retslaff, Fabiane Aparecida; Serpe, Edson Luis
- Abstract
Tree volume is one of the variable of greatest interest in a forest inventory and its estimate is based on the diameter and/or tree heights. Diameter is easily obtained, while measuring tree height is difficult activity that demands time and resources. Thus, fitting height-diameter models is a current activity in forest inventories. This work aimed to evaluate the strategies for fitting a height-diameter model, as well as the effect of estimated heights in the prediction of volumetric stock of forests stands. In an area of 43.579 hectares of Pinus spp mixed stand, a census was carried out, where the diameter and heights of all trees were measured. After the census, an inventory was carried out by sampling, setting 37 plots, distributed randomly in the stand, and also 102 trees were sampled for log scaling. Four data clustering approaches were tested to fit the height-diameter model, using data of height and diameter obtained from plots, tree scaling and dominant tree. Using only the data obtained in the tree scaling can be enough to fit a single height-diameter model, providing good estimates of tree height. In an inventory where tree scaling is not required, a single fit can be enough to represent the stand, measuring about 10 trees per plot, plus the heights of the dominant trees. The strategy that produced the best estimates combined with the minor need of height measurements is the one that uses data from tree scaling along with dominant tree heights, resulting in a single model.
- Publication
Floresta, 2017, Vol 47, Issue 3, p307
- ISSN
0015-3826
- Publication type
Academic Journal
- DOI
10.5380/rf.v47i3.50555