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Can I read Improving wood volume predictions in dry tropical forest in the semi-arid Brazil on EtoBox?
Improving wood volume predictions in dry tropical forest in the semi-arid Brazil by Robson B. de Lima; Patrícia A. B. Barreto-Garcia; Alessandro de Paula; Jhuly E. S. Pereira; Flávia F. de Carvalho; Silvio H. M. Gomes is a Environmental Science article available to read on EtoBox.
What is Improving wood volume predictions in dry tropical forest in the semi-arid Brazil about?
The volumetric variability of dry tropical forests in Brazil and the scarcity of studies on the subject show the need for the development of techniques that make it possible to obtain adequate and accurate wood volume estimates. In this study, we analyzed a database of thinning trees from a forest management plan in the Contendas de Sincorá National Forest, southwestern Bahia State, Brazil. The data set included a total of 300 trees with a trunk diameter ranging from 5 to 52 cm. Adjustments, validation and statistical selection of four volumetric models were performed. Due to the difference in height values for the same diameter and the low correlation between both variables, we do not suggest models which only use the diameter at breast height (DBH) variable as a predictor because they accommodate the largest estimation errors. In comparing the best single entry model (Hohenald-Krenn) with the Spurr model (best fit model), it is noted that the exclusion of height as a predictor causes the values of 136.44 and 0.93 for Akaike information criterion (AIC) and adjusted determination coefficient (R 2 adj ), which are poorer than the second best model (Schumacher-Hall). Regarding the mi
Who reads Improving wood volume predictions in dry tropical forest in the semi-arid Brazil?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Robson B. de Lima; Patrícia A. B. Barreto-Garcia; Alessandro de Paula; Jhuly E. S. Pereira; Flávia F. de Carvalho; Silvio H. M. Gomes
- Publisher
- Springer Science and Business Media LLC
- Published
- 2020
- Language
- EN
- Field
- Environmental Science (Physical Sciences)