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The growth and production modeling of individual trees of Eucalyptus urophylla plantations

Journal of Forestry Research 2020年第5期31卷 1663-1672页

作者： Joao Victor Nobre Carrijo Ana Beatriz de Freitas Ferreira Marcela Costa Ferreira Mario Cesar de Aguiar Eder Pereira Miguel eraldo aparecido trondoli Matricardi Alba Valeria Rezende Department of Forestry Faculty of TechnologyUniversity of Brası´liaBrası´lia 70910-900Brazil

Individual tree models(ITMs)are classified as growth and production models for projecting current and future forest *** are more complex than other growth and production models,show a higher level of detail and,consequently,produce a better modeling ***,the accuracy and efficiency of ITMs have not been properly assessed to *** this study,we estimated the growth in height,diameter,and individual tree volume of a Eucalyptus urophylla plantation by applying an *** used a continuing forest inventory dataset in which 1554 individual trees within 29 permanent plots were measured in the field over a 6-year period(24 to 72 months).Each individual tree volume was estimated for future tree *** achieve this,we adjusted the model to predict the height and diameter growth,and the probability of mortality as a function of the competition *** ITM accuracy was assessed based on the analysis of variance results and,subsequently,the multiple mean comparison test at the 5%significance *** tree volumes predicted by the ITM for the forest stand aged 72 months,beginning at ages 24,36,48,and 60 months,were compared to the field measured tree volume acquired from the 72-month forest inventory that was used as the reference *** and observed tree volumes were similar when the estimation was based on the 48-month forest *** results might help to reduce financial costs of forest inventory because the ITM produces accurate future predictions of forest stand *** estimated ITM for Eucalyptus plantations using measurement intervals up to 2 years is recommended because it significantly reduced the projected volume discrepancy compared to the field measurements.

关键词： Competition index Forest production Forest site Simulation models Tree mortality

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Use of Logistic Regression Model for Prediction of Non-Timber Forest Products

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American Journal of Plant Sciences 2017年第11期8卷 2847-2859页

作者： Alexandre Leandro Santos de Abreu Ricardo de Oliveira Gaspar Mirella Basileu de Oliveira Lima Mauro Eloi Nappo eraldo aparecido trondoli Department of Forest Science University of Brasilia Brasília Brazil

The use of non-timber is a valuable alternative for the conservation of tropical forests. Juçara (Euterpe edulis Mart.) is considered one of the main alternatives in the Atlantic Forest for the production of açaí pulp. However, there are few studies that aim to evaluate their production. The present study aimed to construct a probabilistic model to predict the production of Euterpe edulis bunches, using dendrometric variables and competition index. Twenty plots of 10 × 50 m were sampled in an area with said specie, showing the arboreal entities with diameter at breast height > 4.8 cm, and recording the Euterpe edulis phenomena. The main variables influencing the production of bunches were assessed using logistic regression model. The logistic regression showed the variables diameter breast height (DBH) and total height (h) as significant to explain the variation between productive and non-productive entities. The competition index tested was not significant (p-value = 0.221). The model of prediction of curl production in Juçara can be written as: Zi = -6.878594 + 0.2522454 × DBH + 0.1951574 × h. The use of a logistic regression model showed potential for prediction of non-timber forest products.

关键词： Forest Management Regression Model Logit Euterpe edulis Mart

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