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Forest Science Database

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Abstract

Forest operations are associated with products of a biological source and long-term plans. This makes forest management plans affected by market and environmental uncertainties, which can cause differences between the strategic and operational plans. Risks related to disease spread, adverse...

Author(s)
Neto, R. R. de O.; Silva, S.; Santos, A. C. de A.; Leite, R. V.; Gleriani, J. M.; Leite, H. G.; Binoti, D. H. B.; Alcântara, A. E. M. de; Fardin, L. P.
Publisher
Academic Journals, Lagos, Nigeria
Citation
African Journal of Agricultural Research, 2019, 15, 2, pp 222-228
Abstract

The elaboration of a forest schedule involves constructing and solving a forest regulation model. The regulated structure is not easy to obtain, considering the fluctuations in the effective planting area during the planning horizon, technological advances, and changes in annual demand....

Author(s)
Vescovi, L. B.; Leite, H. G.; Soares, C. P. B.; Oliveira, M. L. R. de; Binoti, D. H. B.; Fardin, L. P.; Silva, G. C. C.; Lopes, L. S. de S.; Leite, R. V.; Oliveira Neto, R. R. de; Silva, S.
Publisher
Academic Journals, Lagos, Nigeria
Citation
African Journal of Agricultural Research, 2020, 16, 7, pp 1050-1060
AbstractFull Text

The objective of this study was to evaluate three estimation methods to fit volume equations in the presence of influential or leverage data. To do so, data from the forest inventory carried out by the Centro Tecnológico de Minas Gerais Foundation were used to fit the Schumacher and Hall (1933)...

Author(s)
Abreu, J. C. de; Soares, C. P. B.; Leite, H. G.; Binoti, D. H. B.; Silva, G. F. da
Publisher
Fundação de Pesquisas Florestais do Paraná (FUPEF), Curitiba, Brazil
Citation
Floresta, 2021, 51, 3, pp 596-603
AbstractFull Text

The analysis of the diameter distribution is indispensable for forest management since it subsidizes the assessment of the remaining stocks and of wood harvest. This work aimed to project the diameter distribution by using artificial neural networks (ANN) and cellular automata (CA). In 1979,...

Author(s)
Reis, L. P.; Souza, A. L. de; Reis, P. C. M. dos R.; Mazzei, L.; Binoti, D. H. B.; Leite, H. G.
Publisher
Fundação de Pesquisas Florestais do Paraná (FUPEF), Curitiba, Brazil
Citation
Floresta, 2018, 48, 1, pp 93-102
Abstract

Recruitment models in tropical forests are important for studies on forest management sustainability because they provide adequate support to recovery of wood stocks. The objective of this work was to estimate recruitment after wood harvesting by using an artificial neural network (ANN) model. The...

Author(s)
Reis, L. P.; Souza, A. L. de; Reis, P. C. M. dos R.; Mazzei, L.; Leite, H. G.; Soares, C. P. B.; Torres, C. M. M. E.; Silva, L. F. da; Ruschel, A. R.; Rêgo, L. J. S.
Publisher
Centro de Pesquisas Florestais, Departemento de Ciencias Florestais, UFSM, Santa Maria, Brazil
Citation
Ciência Florestal, 2019, 29, 2, pp 583-594
Abstract

Modeling individual trees in tropical rain forests in the Amazon allows for the safe use of scarce resources in a sustainable way. Unfortunately, in the Brazilian Amazon, rain forest growth and production models are not yet used to estimate future forest stock. Thus, forest management plans do not...

Author(s)
Reis, L. P.; Souza, A. L. de; Reis, P. C. M. dos; Mazzei, L.; Soares, C. P. B.; Torres, C. M. M. E.; Silva, L. F. da; Ruschel, A. R.; Rêgo, L. J. S.; Leite, H. G.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Ecological Engineering, 2018, 112, pp 140-147
Abstract

A common issue in forest management is related to yield projection for stands at young ages. This study aimed to evaluate the Clutter model and artificial neural networks for projecting eucalypt stands production from early ages, using different data arrangements. In order to do this, the changes...

Author(s)
Casas, G. G.; Fardin, L. P.; Silva, S.; Oliveira Neto, R. R. de; Binoti, D. H. B.; Leite, R. V.; Domiciano, C. A. R.; Lopes, L. S. de S.; Cruz, J. P. da; Reis, T. L. dos; Leite, H. G.
Publisher
Universiti Putra Malaysia Press, Serdang, Malaysia
Citation
Pertanika Journal of Science & Technology, 2022, 30, 2, pp 1257-1272
AbstractFull Text

In forest science it is important evaluate new technologies from computational science. This work aimed to test a different kind of metaheuristic called Variable Neighborhood Search in a forest planning problem. The management total area has 4.210 ha distributed in 120 stands in ages between 1 and...

Author(s)
Araújo Júnior, C. A.; Mendes, J. B.; Assis, A. L. de; Cabacinha, C. D.; Stocks, J. J.; Silva, L. F. da; Leite, H. G.
Publisher
Universidade Federal de Lavras, Lavras, Brazil
Citation
Cerne, 2018, 24, 3, pp 259-268
AbstractFull Text

The objective of this study was to evaluate the efficiency of artificial neural networks to predict wood volume of forest species in the Tapajós National Forest (Amazon) compared to the Schumacher and Hall volumetric model. We used data from two Units of Annual Production (UAP) of a Sustainable...

Author(s)
Oliveira, D. V. de; Neto, R. R. de O.; Leite, H. G.; Rode, R.; Gama, J. R. V.
Publisher
Instituto de Pesquisas e Estudos Florestais (IPEF), Piracicaba, Brazil
Citation
Scientia Forestalis, 2021, 131,
AbstractFull Text

This study aimed to evaluate the efficiency of artificial neural networks to design the diameter (dbh), total height (Ht) and bole height (Hf) of trees in a semideciduous forest in the middle succession stage. Were used data from ten permanent plots, monitored for 14 years, on five occasions,...

Author(s)
Castro, R. V. O.; Soares, C. P. B.; Leite, H. G.; Souza, A. L. de; Martins, F. B.; Nogueira, G. S.; Oliveira, M. L. R. de
Publisher
Instituto de Pesquisas e Estudos Florestais (IPEF), Piracicaba, Brazil
Citation
Scientia Forestalis, 2020, 125,

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