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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
31/01/2018 |
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Data da última atualização: |
02/05/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Estimation of mortality and survival of individual trees after harvesting wood using artificial neural networks in the amazon rain forest. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Ecological Engineering, v. 112, p. 140-147, Mar. 2018. |
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DOI: |
https://doi.org/10.1016/j.ecoleng.2017.12.014 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Gestão florestal; Inteligência artificial; Modelagem. |
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Thesagro: |
Floresta. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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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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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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| Registros recuperados : 50 | |
| 21. |  | WESTERHOF, R.; BUURMAN, P.; GRIETHUYSEN, C. van; AYARZA, M. A.; VILELA, L.; ZECH, W. Aggregation studied by laser diffraction in relation to plowing, soil organic matter, and lime in the Brazilian cerrados. In: THOMAS, R.; AYARZA, M.A., ed. Sustainable land management for the oxisols of the Latin American savannas: dynamics of soil organic matter and indicators of soil quality. Cali: CIAT, 1999. p.64-76.| Biblioteca(s): Embrapa Cerrados. |
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| 23. | | LILIENFEIN, J.; WILCKE, W.; AYARZA, M. A.; VILELA, L.; LIMA, S. do C.; ZECH, W. Chemical fractionation of phosphorus, sulphur, and molybdenum in Brazilian savannah oxisols under different land use. Geoderma, Amsterdam, v. 96, p. 31-46, 2000.| Biblioteca(s): Embrapa Cerrados. |
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| 24. | | ARAUJO, A. G. de; AYARZA, M. A.; FRIESEN, D. K.; VILELA, L. Fracoes organicas e inorganicas de fosforo em um solo de cerrado sob diferentes sistemas de manejo. In: SIMPOSIO SOBRE O CERRADO, 8.; INTERNATIONAL SYMPOSIUM ON TROPICAL SAVANNAS, 1., 1996, Brasilia, DF. Biodiversidade e producao sustentavel de alimentos e fibras nos Cerrados: anais... Planaltina: EMBRAPA-CPAC, 1996. p.319-322.| Biblioteca(s): Embrapa Cerrados. |
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| 25. | | SMITH, J.; CADAVID, J. V.; AYARZA, M.; AGUIAR, J. L. P. de; ROSA, R. Land use change in soybean production systems in the Brazilian savanna: the role of policy and market conditions. Journal of Sustainable Agriculture, Binghamton, v.15, n.2/3, p.95-117, 1999.| Biblioteca(s): Embrapa Cerrados. |
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| 26. | | LILIENFEIN, J.; WILCKE, W.; NEUFELDT, M.; AYARZA, M. A.; ZECH, W. Land-use effects on organic carbon, nitrogen, and sulphur concentrations in macroaggregates of differently textured Brazilian oxisols. Journal of Plant Nutrition and Soil Science, Berlin, v.161, n.2, p.165-171, 1998.| Biblioteca(s): Embrapa Cerrados. |
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| 29. | | AYARZA, M. A.; VILELA, L.; BARCELLOS, A. de O.; BALBINO, L. C.; BROSSARD, M.; PASINI, A. Integration culture-elevage dans les cerrados au Brasil: une solution pour des systemes durables. Agriculture et Developpement, Montpellier, n.18, p.91-98, juin 1998.| Biblioteca(s): Embrapa Cerrados. |
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| 30. | | AYARZA, M. A.; VILELA, L.; BARCELLOS, A. de O.; BALBINO, L. C.; BROSSARD, M.; PASINI, A. Integration culture-elevage dans les cerrados au Bresil: une solution pour des systemes durables. Agriculture et Developpement, Montpellier, n. 18, p. 91-98, juin 1998.| Tipo: Artigo em Periódico Indexado |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 33. | | PIZARRO, E. A.; AYARZA, M. A.; SPAIN, J. M.; CARVALHO, M. A.; SOUZA, M. A. de. Efecto de la irrigacion en la produccion de semillas de Stylosanthes guianensis cv. Mineirao. Pasturas Tropicales, Cali, v.15, n.3, p.27-28, 1993.| Biblioteca(s): Embrapa Cerrados. |
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| 34. | | RENZ, T. E.; NEUFELDT, H.; AYARZA, M. A.; RESCK, D. V. S.; ZECH, W. Microbial biomass, microbial activity, and carbon pools under different land-use systems in the Brazilian cerrados. In: THOMAS, R.; AYARZA, M.A., ed. Sustainable land management for the oxisols of the Latin American savannas: dynamics of soil organic matter and indicators of soil quality. Cali: CIAT, 1999. p.187-197.| Biblioteca(s): Embrapa Cerrados. |
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| 36. | | FUHRMANN, S.; NEUFELDT, H.; WESTERHOF, R.; AYARZA, M. A.; SILVA, J. E. da; ZECH, W. Soil organic carbon, carbohydrates, amino sugars, and potentially mineralizable nitrogen under different land-use systems in oxisols of the Brazilian cerrados. In: THOMAS, R.; AYARZA, M.A., ed. Sustainable land management for the oxisols of the Latin American savannas: dynamics of soil organic matter and indicators of soil quality. Cali: CIAT, 1999. p.110-122.| Biblioteca(s): Embrapa Cerrados. |
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| 38. | | LILIENFEIN, J.; WILCKE, W.; AYARZA, M. A.; VILELA, L.; LIMA, S. do C.; ZECK, W. Soil acidification in Pinus caribaea forests on Brazilian savanna oxisols. Forest Ecology and Management, Amsterdam, v. 128, p. 145-157, 2000.| Biblioteca(s): Embrapa Cerrados. |
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| 39. | | AYARZA, M. A.; VILELA, L.; PIZARRO, E. A.; COSTA, P. H. da. Sistemas agropastoriles basados en leguminosas de usos multiples. In: GUIMARAES, E.P.; SANZ, J.I.; RAO, I.M.; AMEZQUITA, M.C.; AMEZQUITA, E., ed. Sistemas agropastoriles en sabanas tropicales de America Latina. Cali: CIAT/Brasilia: Embrapa, 1999. p.175-193.| Biblioteca(s): Embrapa Cerrados. |
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| Registros recuperados : 50 | |
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