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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
31/01/2018 |
Data da última atualização: |
02/05/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
REIS, L. P.; SOUZA, A. L. de; REIS, P. C. M. dos; FREITAS, L. J. M. de; SOARES, C. P. B.; TORRES, C. M. M. E.; SILVA, L. F. da; RUSCHEL, A. R.; RÊGO, L. J. S.; LEITE, H. G. |
Afiliação: |
Leonardo Pequeno Reis, Instituto de Desenvolvimento Sustentável Mamirauá; Agostinho Lopes de Souza, UFV; Pamella Carolline Marques dos Reis, UFV; LUCAS JOSE MAZZEI DE FREITAS, CPATU; Carlos Pedro Boechat Soares, UFV; Carlos Moreira Miquelino Eleto Torres, UFV; Liniker Fernandes da Silva, Universidade Federal do Recôncavo da Bahia; ADEMIR ROBERTO RUSCHEL, CPATU; Lyvia Julienne Sousa Rêgo, UFV; Helio Garcia Leite, UFV. |
Título: |
Estimation of mortality and survival of individual trees after harvesting wood using artificial neural networks in the amazon rain forest. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Ecological Engineering, v. 112, p. 140-147, Mar. 2018. |
DOI: |
https://doi.org/10.1016/j.ecoleng.2017.12.014 |
Idioma: |
Inglês |
Conteúdo: |
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 present technical-scientific support that guarantees sustainable production of wood throughout the cutting cycle. Therefore, this work aims to estimate the survival and mortality of individual trees in a selectively harvested forest using Artificial Neural Networks (ANN) to support silvicultural decisions in forest management in the Amazon rain forest. In 1979, a selective harvest was carried out, with 72.5 m3 ha-1 in an area of 64 ha in Floresta Nacional do Tapajós, in the state of Pará, Brazil. In 1981, 36 permanent plots were installed at random and inventoried. Nine successive measurements were carried from 1982 to 2012. In the modeling, classification, survival, and mortality, training and ANN testing were performed, using input variables such as: different semi-distance-independent competition indices (DSICI), diameter measured (dbh), forest class (FC), trunk identification class (TIC), competition index (CI), growth groups (GG), liana infestation intensity (liana); and crown lighting (CL); Damage to tree (D) and tree rotting (R). The categorical output variables (Classification) were Dead or Surviving tree. Overall efficiency of the classification was above 89% in training and above 90% in the test for all ANNs. Survival classification hit rate was above 99% in the test and training for all ANNs but the mortality score was low, with hit rates below 6%. The overall Kappa coefficient was below 8% for all ANNs (ranked ?poor?) but all ANNs were above 55% in the survival classification (ranked ?good?). ANN estimates the individual survival of trees more accurately but this does not occur with mortality, which is a rarer event than survival. MenosModeling 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 present technical-scientific support that guarantees sustainable production of wood throughout the cutting cycle. Therefore, this work aims to estimate the survival and mortality of individual trees in a selectively harvested forest using Artificial Neural Networks (ANN) to support silvicultural decisions in forest management in the Amazon rain forest. In 1979, a selective harvest was carried out, with 72.5 m3 ha-1 in an area of 64 ha in Floresta Nacional do Tapajós, in the state of Pará, Brazil. In 1981, 36 permanent plots were installed at random and inventoried. Nine successive measurements were carried from 1982 to 2012. In the modeling, classification, survival, and mortality, training and ANN testing were performed, using input variables such as: different semi-distance-independent competition indices (DSICI), diameter measured (dbh), forest class (FC), trunk identification class (TIC), competition index (CI), growth groups (GG), liana infestation intensity (liana); and crown lighting (CL); Damage to tree (D) and tree rotting (R). The categorical output variables (Classification) were Dead or Surviving tree. Overall efficiency of the classification was above 89% i... Mostrar Tudo |
Palavras-Chave: |
Gestão florestal; Inteligência artificial; Modelagem. |
Thesagro: |
Floresta. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
Marc: |
LEADER 02910naa a2200289 a 4500 001 2086820 005 2018-05-02 008 2018 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.ecoleng.2017.12.014$2DOI 100 1 $aREIS, L. P. 245 $aEstimation of mortality and survival of individual trees after harvesting wood using artificial neural networks in the amazon rain forest.$h[electronic resource] 260 $c2018 520 $aModeling 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 present technical-scientific support that guarantees sustainable production of wood throughout the cutting cycle. Therefore, this work aims to estimate the survival and mortality of individual trees in a selectively harvested forest using Artificial Neural Networks (ANN) to support silvicultural decisions in forest management in the Amazon rain forest. In 1979, a selective harvest was carried out, with 72.5 m3 ha-1 in an area of 64 ha in Floresta Nacional do Tapajós, in the state of Pará, Brazil. In 1981, 36 permanent plots were installed at random and inventoried. Nine successive measurements were carried from 1982 to 2012. In the modeling, classification, survival, and mortality, training and ANN testing were performed, using input variables such as: different semi-distance-independent competition indices (DSICI), diameter measured (dbh), forest class (FC), trunk identification class (TIC), competition index (CI), growth groups (GG), liana infestation intensity (liana); and crown lighting (CL); Damage to tree (D) and tree rotting (R). The categorical output variables (Classification) were Dead or Surviving tree. Overall efficiency of the classification was above 89% in training and above 90% in the test for all ANNs. Survival classification hit rate was above 99% in the test and training for all ANNs but the mortality score was low, with hit rates below 6%. The overall Kappa coefficient was below 8% for all ANNs (ranked ?poor?) but all ANNs were above 55% in the survival classification (ranked ?good?). ANN estimates the individual survival of trees more accurately but this does not occur with mortality, which is a rarer event than survival. 650 $aFloresta 653 $aGestão florestal 653 $aInteligência artificial 653 $aModelagem 700 1 $aSOUZA, A. L. de 700 1 $aREIS, P. C. M. dos 700 1 $aFREITAS, L. J. M. de 700 1 $aSOARES, C. P. B. 700 1 $aTORRES, C. M. M. E. 700 1 $aSILVA, L. F. da 700 1 $aRUSCHEL, A. R. 700 1 $aRÊGO, L. J. S. 700 1 $aLEITE, H. G. 773 $tEcological Engineering$gv. 112, p. 140-147, Mar. 2018.
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Embrapa Amazônia Oriental (CPATU) |
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Registros recuperados : 52 | |
1. | | BALDANI, J. Ivo; OLIVARES, F. L.; OLIVEIRA, A. L. M.; REIS JUNIOR, F. B.; BALDANI, Vera L. D.; REIS, Veronica M.; HEMERLY, A.; DOBEREINER, Johanna. Nitrogen - fixing endophytes: Recent advances in the association with graminaceous plants grown in the tropics. In: INTERNATIONAL CONGRESS ON NITROGEN FIXATION, 11., jul. 1997, Paris. Abstracts... Paris: Institut Pasteur; INRA; CNRS; CEA; ORSTOM; CIRAD, 1997. p.14.Biblioteca(s): Embrapa Agrobiologia. |
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2. | | BENTO, J. A. C.; BASSINELLO, P. Z.; CRUZ, Q. A. da; MENDONÇA, M. A. de S.; BORBA, T. C. de O.; VANIER, N. L.; SOUZA NETO, M. A. de; FERREIRA, K. C.; SILVA, G. de L. P. e; OLIVEIRA, A. L. M. de. The convenience of non-conventional methods for evaluation of the culinary quality of beans. Research, Society and Development, v. 9, n. 11, e44491110103, 2020.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
Biblioteca(s): Embrapa Arroz e Feijão. |
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3. | | BOA SORTE, P. M. F.; FERREIRA, J. S.; OLIVEIRA, A. L. M.; TEIXEIRA, K. R. dos S.; REIS, V. M.; BALDANI, J. I. Análise da comunidade de bactérias endofíticas em plantas de cana-de-açúcar após quatro ciclos de cultivo. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 28., REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 12., SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 10., REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 7., 2008, Londrina. FertBio 2008: desafios para o uso do solo com eficiência e qualidade ambiental: anais. Londrina: Embrapa Soja: SBCS: IAPAR, UEL, 2008. 4 p. 1 CD-ROM. Parceria: UFRRJ; Universidade Estadual de Londrina.
Organizado por: Adilson de Oliveira Júnior, Regina Maria Villas Bôas de Campos Leite, César de Castro, Fábio Álvares de Oliveira; Odilon Ferreira Saraiva.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Agrobiologia. |
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5. | | CALZAVARA, A. K.; PAIVA, P. H. G.; GABRIEL, L. C.; OLIVEIRA, A. L. M.; MILANI, K.; OLIVEIRA, H. C.; BIANCHINI, E.; PIMENTA, J. A.; OLIVEIRA, M. C. N. de; DIAS-PEREIRA, J.; STOLF-MOREIRA, R. Associative bacteria influence maize (Zea mays L.) growth, physiology and root anatomy under different nitrogen levels. Plant biology, v. 20, n. 5, p. 870-878, 2018.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Soja. |
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7. | | CANUTO, E. de L.; SALLES, J. F.; OLIVEIRA, A. L. M.; PERIN, L.; REIS, V. M.; BALDANI, J. I. Respostas de plantas micropropagadas de cana-de-açúcar à inoculação de bactérias diazotróficas endofíticas. Agronomia, Seropédica, RJ, v. 37, n. 2, p. 67-72, ago./dez. 2003. Response of micropropagated sugarcane plants to inoculation with endophytic diazotrophic bacteria.Biblioteca(s): Embrapa Agrobiologia. |
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9. | | CAVALCANTE, A. C. R.; MOITA, A. K. F.; SALES, G. S.; OLIVEIRA, A. L. M. de; ARAUJO FILHO, J. A. de. Fenologia do juazeiro indiano (Zizyphus undulata Reiss.). In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA UVA, 1., 1998; ENCONTRO DE INICIAÇÃO CIENTÍFICA DA UVA, 2., 2000, Sobral. Anais... Sobral: Universidade Estadual Vale do Acaraú, 2001. p. 15.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Caprinos e Ovinos. |
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11. | | GOES, K. C. G. P. de; FISHER, M. L. de C.; CATTELAN, A. J.; NOGUEIRA, M. A.; CARVALHO, C. G. P. de; OLIVEIRA, A. L. M. de. Biochemical and molecular characterization of high population density bacteria isolated from sunflower. Journal of Microbiology and Biotechnology, Seoul, v. 22, n. 4, p. 437-447, Feb. 2012.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Soja. |
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12. | | GOES, K. C. G. P. de; ZEIDEL, E.; FISHER, M. L. de C.; KIKUCHI, A.; SOUZA, O. S. de; OLIVEIRA, A. L. M. de. Identificação molecular de bactérias promotoras do crescimento vegetal associadas ao girassol (Helianthus annus). In: REUNIÃO NACIONAL DE PESQUISA DO GIRASSOL, 18., SIMPÓSIO NACIONAL SOBRE A CULTURA DO GIRASSOL, 6., 2009. Pelotas. Anais... Pelotas: Embrapa Clima Temperado, 2009. p. 233-239. Editado por Ana Claudia Barneche de Oliveira, Ana Paula Afonso Scheneid da Rosa e Márcia Vizzotto.Biblioteca(s): Embrapa Clima Temperado. |
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13. | | GOES, K. C. G. P.; MILANI, K. M. L.; TEIXEIRA, E. M. K.; NOGUEIRA, M. A.; OLIVEIRA, A. L. M.; ANDRADE, D. de S. Identificação e diversidade de bactérias promotoras do crescimento vegetal associadas ao girassol. In: CONGRESSO BRASILEIRO DE MICROBILOGIA, 26.; SIMPÓSIO INTERNACIONAL DE BACTÉRIAS LÁTICAS; ENCONTRO NACIONAL DE PROFESSORES DE MICROBIOLOGIA; SIMPÓSIO DE COLEÇÕES DE CULTURAS, 4., 2011, Foz do Iguaçu. Anais... São Paulo: SBM, 2011. Resumo, 1928-1.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Soja. |
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14. | | GUEDES, H. V.; ROUWS, L. F. M.; OLIVEIRA, A. L. M.; SIMÕES-ARAÚJO, J. L.; TEIXEIRA, K. R. dos S.; BALDANI, J. I. Gluconacetobacter diazotrophicus PAL5 strain: selection and characterization of mutants deficient in nitrogen-fixation ability. In: DAKORA, F.D. et al. (Ed.). Biological nitrogen fixation: towards poverty alleviation through sustainable agriculture. Heidelberg: Springer, 2008. (Current Plant Science and Biotechnology in Agriculture, 42) Proceedings of International Nitrogen Fixation, 15th.,International Conference of the African Association for Biologica Nitrogen Fixation, 12., 2008, South Africa.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Agrobiologia. |
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15. | | GUEDES, H. V.; ROUWS, L.; OLIVEIRA, A. L. M.; SIMÕES-ARAÚJO, J. L.; TEIXEIRA, K. R. S.; BALDANI, J. I. Selection and characterization of Gluconacetobacter diazotrophicus PAL5 strain deficient in the nitrogen fixation ability and indole-acetic acid production. In: INTERNATIONAL CONGRESS ON NITROGEN FIXATION, 15th., INTERNATIONAL CONFERENCE OF THE AFRICAN ASSOCIATION FOR BIOLOGICAL NITROGEN FIXATION, 12th., 2007, Cape Town, South Africa. BNF Applications for poverty alleviation. abstracts... Cape Town: University of Technology & Sister Institutions in Cape Town, 2007. 2 p.Tipo: Resumo em Anais de Congresso | Circulação/Nível: -- - -- |
Biblioteca(s): Embrapa Agrobiologia. |
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16. | | GUNDI, J. S.; BABUJIA, L. C.; NOGUEIRA, M. A.; OLIVEIRA, A. L. M. de; HUNGRIA, M. Desenvolvimento de formulações líquidas de inoculantes contendo Rhizobium tropici CIAT 899 para a cultura do feijoeiro. In: REUNIÃO LATINOAMERICANA DE RIZOBIOLOGIA - RELAR, 27., 2016, Londrina. Fortalecendo as parcerias Sul-Sul: anais. Curitiba: SBCS-NEPAR, 2016. p. 290. Editores: Mariangela Hungria, Douglas Fabiano Gomes, Arnaldo Colozzi Filho.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Soja. |
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19. | | JAMES, E. K.; OLIVARES, F. L.; OLIVEIRA, A. L. M. de; REIS JÚNIOR, F. B. dos; SILVA, L. G. da; REIS, V. M. Further observations on the interaction between sugar can and Gluconacetobacter diazotrophicus under laboratory and greenhouse conditions. Journal of Experimental Botany, London, v. 52, n. 357, p. 747-760, apr. 2001.Biblioteca(s): Embrapa Agrobiologia. |
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20. | | MATSUMOTO, L. S.; SATURNO, D. F.; OLIVEIRA, A. L. M. de; SILVA, A. P.; BABUJA, L. C.; NOGUEIRA, M. A.; HUNGRIA, M. Avaliação da eficiência do inoculante contendo estirpes de Azospirillum brasilense em variedades de cana-de-açúcar. In: CONGRESSO BRASILEIRO DE MICROBILOGIA, 26.; SIMPÓSIO INTERNACIONAL DE BACTÉRIAS LÁTICAS; ENCONTRO NACIONAL DE PROFESSORES DE MICROBIOLOGIA; SIMPÓSIO DE COLEÇÕES DE CULTURAS, 4., 2011, Foz do Iguaçu. Anais... São Paulo: SBM, 2011. Resumo, 916-1.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Soja. |
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Registros recuperados : 52 | |
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