Zobrazeno 1 - 10
of 361
pro vyhledávání: '"César Augusto Guimarães Finger"'
Autor:
Paulo Sérgio Pigatto Schneider, Luciano Weber Scheeren, Paulo Renato Schneider, César Augusto Guimarães Finger
Publikováno v:
Floresta e Ambiente, Vol 13, Iss 1, Pp 26-33 (2023)
Resumo Esta pesquisa teve como objetivo determinar o crescimento em diâmetro, volume comercial, incremento corrente anual em percentagem do volume comercial e o fator de forma comercial para Cordia trichotoma (Vell.) Arrab. Ex Steud., na área centr
Externí odkaz:
https://doaj.org/article/c5b2dfb6a8df4b729f208acf4bf7fa3f
Autor:
Cristine Tagliapietra Schons, Emanuel Arnoni Costa, Lorena Oliveira Barbosa, César Augusto Guimarães Finger
Publikováno v:
Forestist, Vol 72, Iss 2, Pp 105-111 (2022)
Externí odkaz:
https://doaj.org/article/fa0d3fb2c6804cf7b7840fb19b99c65b
Autor:
César Augusto Guimarães Finger, Emanuel Arnoni Costa, André Felipe Hess, Veraldo Liesenberg, Polyanna da Conceição Bispo
Publikováno v:
Forests, Vol 14, Iss 7, p 1285 (2023)
Araucaria angustifolia (Bertol.) Kuntze, commonly known as Brazilian pine, is a significant tree species in the Brazilian flora that once covered an area of 200,000 km2 in the Southern region. During the 1970s, high-quality timber logs from this coni
Externí odkaz:
https://doaj.org/article/c5c668a3d6d24333b35f9ffbbf28d1e7
Autor:
Laryssa Demétrio, André Felipe Hess, Alex Nascimento de Sousa, Emanuel Arnoni Costa, Veraldo Liesenberg, Maurício Jean Freisleben, Marcos Benedito Schimalski, César Augusto Guimarães Finger, Noé dos Santos Ananias Hofiço, Polyanna da Conceição Bispo
Publikováno v:
Forests, Vol 13, Iss 12, p 2074 (2022)
Knowledge of the formation and correlation of reproductive structures with dendro/morphometric variables of the Araucaria angustifolia tree species is a tool for its conservation and viability for sustainable forest management. We counted visually in
Externí odkaz:
https://doaj.org/article/35223a6a4eac4943a44de918afd5b35e
Autor:
Karen Janones da Rocha, César Augusto Guimarães Finger, Cyro Matheus Cometti Favalessa, Sidney Fernando Caldeira, Frederico Dimas Fleig
Publikováno v:
Forests, Vol 13, Iss 11, p 1818 (2022)
The international market has recognized the high value of Tectona grandis L.f. plantations, requiring the development of reliable and accurate tools and techniques to quantify forest stocks accurately. In this study, we developed suitable equations t
Externí odkaz:
https://doaj.org/article/16f42b96e9514df8915158388246b57d
Autor:
Emanuel Arnoni Costa, André Felipe Hess, César Augusto Guimarães Finger, Cristine Tagliapietra Schons, Danieli Regina Klein, Lorena Oliveira Barbosa, Geedre Adriano Borsoi, Veraldo Liesenberg, Polyanna da Conceição Bispo
Publikováno v:
Forests, Vol 13, Iss 8, p 1284 (2022)
Artificial intelligence (AI) seeks to simulate the human ability to reason, make decisions, and solve problems. Several AI methodologies have been introduced in forestry to reduce costs and increase accuracy in estimates. We evaluate the performance
Externí odkaz:
https://doaj.org/article/1697c93fc8f140d192569b1916e312fb
Autor:
Gabriel Fernandes Bueno, Emanuel Arnoni Costa, César Augusto Guimarães Finger, Veraldo Liesenberg, Polyanna da Conceição Bispo
Publikováno v:
Forests, Vol 13, Iss 8, p 1295 (2022)
The Brazilian Cerrado biome is a hotspot due to its ecological importance and high diversity of fauna and flora. We aimed to develop statistical models to predict the crown diameter of open-growing trees using several forest attributes. Potential cro
Externí odkaz:
https://doaj.org/article/cf067b10df8f43858998f27fe6c24b2d
Autor:
Lorena Oliveira Barbosa, Emanuel Arnoni Costa, Cristine Tagliapietra Schons, César Augusto Guimarães Finger, Veraldo Liesenberg, Polyanna da Conceição Bispo
Publikováno v:
Forests, Vol 13, Iss 7, p 1108 (2022)
This research aimed to develop statistical models to predict basal area increment (BAI) for Araucaria angustifolia using Artificial Neural Networks (ANNs). Tree species were measured for their biometric variables and identified at the species level.
Externí odkaz:
https://doaj.org/article/603f7edcbad74973b46ea2a40457bd26
Publikováno v:
Ciência Florestal, Vol 28, Iss 2, Pp 725-734 (2018)
This study was developed in order to model the growing space for Araucaria angustifolia (Bertol.) Kuntze trees. A total of 869 Parana pine trees were sampled in three municipalities in southern Brazil, being 175 trees with free growing of competition
Externí odkaz:
https://doaj.org/article/ab8a038f10c24db5a85dbfca8fbba7c4
Publikováno v:
Ciência Florestal, Vol 26, Iss 1, Pp 225-234 (2016)
The morphometric relations allow describing dimensions of trees without prior knowledge of the age, it help the forest planning and implementation of silvicultural treatments, especially when needs to make sustainable use of forests. For this purpose
Externí odkaz:
https://doaj.org/article/6df55782accb42adba3ecdbb87db7dc7