Alternatives to Growth and Yield Prognosis for Pinus caribaea var. caribaea Barrett & Golfari
Ouorou Ganni Mariel Guera; José Antônio Aleixo da Silva; Rinaldo Luiz Caraciolo Ferreira; Daniel Alberto Álvarez Lazo; Héctor Barrero Medel
Abstract
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References
Aldana E, Puentes M, Romero JL. Proyecto de ordenación de la EFI Macurije. La Habana: Ministerio de la Agricultura; 2006.
Ashraf MI, Zhao Z, Bourque CPA, Maclean DA, Meng FR. Integrating biophysical controls in forest growth and yield predictions with artificial intelligence technology. Canadian Journal of Forest Research 2013; 43(12): 1162-1171. 10.1139/cjfr-2013-0090
Balci O, Sargent RG. Validation of multivariate response models using Hotelling’s two-sample T2 test. Simulation 1982; 39(6): 185-192. 10.1177/003754978203900602
Barrero MH, Peraza EO, Álvarez LD, Guera M. Determinación del turno de corta para Pinus caribaea var. caribaea en la Empresa Forestal Integral “Macurije”. Floresta e Ambiente 2011; 18(1): 109-116. 10.4322/floram.2011.028
Binoti MLMS, Leite HG, Binoti DHB, Gleriani JM. Prognose em nível de povoamento de clones de eucalipto empregando redes neurais artificiais. Cerne 2015; 21(1): 97-105. 10.1590/01047760201521011153
Buckman RE. Growth and yield of red pine in Minnesota. Washington, DC: U.S. Department of Agriculture; 1962.
Burkhart HE, Tomé M. Modeling forest trees and stands. Dordrecht: Springer; 2012.
Campos JCC, Leite HG. Mensuração florestal: perguntas e respostas. 5. ed. Viçosa: UFV; 2017.
Castro RVO, Soares CPB, Martins FB, Leite HG. Crescimento e produção de plantios comerciais de eucalipto estimados por duas categorias de modelos. Pesquisa Agropecuária Brasileira 2013; 48(3): 287-295. 10.1590/S0100-204X2013000300007
Chapman DG. Statistical problems in dynamics of exploited fisheries populations. In: 4th Berkeley Symposium on Mathematical Statistics and Probability; 1961; Berkeley. Berkeley: University of California Press; 1961. p. 153-168.
Clutter JL. Compatible growth and yield models for lobolly pine. Forest Science 1963; 9(3): 354-371. 10.1093/forestscience/9.3.354
Cochrane D, Orcutt GH. Application of least squares regression to relationships containing auto-correlated error terms. Journal of the American Statistical Association 1949; 44(245): 32-61. 10.2307/2280349
Dias AN, Leite HG, Campos JCC, Couto L, Carvalho AF. Emprego de um modelo de crescimento e produção em povoamentos desbastados de eucalipto. Revista Árvore 2005; 29(5): 731-739. 10.1590/S0100-67622005000500008
Draper NR, Smith H. Applied regression analysis. 3rd. ed. New York: John Wiley & Sons; 1998.
Francis JK. Pinus caribaea Morelet. Caribbean pine. Pinaceae. Pine family. SO-ITF-SM-53. New Orleans: USDA Forest Service; 1992.
Korf V. A mathematical definition of stand volume growth law. Lesnicka Prace 1939; 18: 337-379.
Leite HG, Oliveira FHT. Statistical procedure to test identity between analytical methods. Communications in Soil Science and Plant Analysis 2002; 33(7-8): 1105-1118. 10.1081/CSS-120003875
Martins ER, Binoti MLMS, Leite HG, Binoti DHB, Dutra GC. Configuração de redes neurais artificiais para estimação do afilamento do fuste de árvores de eucalipto. Revista Brasileira de Ciências Agrárias 2016; 11 (1): 33-38. 10.5039/agraria.v11i1a5354
Özçelik R, Diamantopoulou MJ, Brooks JR. The use of tree crown variables in over-bark diameter and volume prediction models. iForest 2014; 7: 132-139. 10.3832/ifor0878-007
Özçelik R, Diamantopoulo MJ, Eker M, Gürlevık N. Artificial neural network models: an alternative approach for reliable aboveground pine tree biomass prediction. Forest Science 2017; 63(3): 291-302. 10.5849/FS-16-006
Pardoe I. Applied regression modeling. 2nd. ed. New Jersey: John Wiley & Sons; 2012.
Porras JC. Growth evaluation of a conifer forest (Pinus Cooperí Blanco) using a neural net backpropagation trained with distance independent competition measures. Computación y Sistemas 2007 [cited 2019 July 2]; 10(4): 415-427. Available from:
Prodan M, Peters R, Cox F, Real P. Mensura forestal. 1st. ed. San José: IICA; 1997.
Richards FJ. A flexible growth function for empirical use. Journal of Experimental Botany 1959; 10(2): 290-300. 10.1093/jxb/10.2.290
Schumacher FX. A new growth curve and its applications to timber-yield studies. Journal of Forestry 1939; 37: 819-820.
Silva AL, Campos JCC, Leite HG, Souza AL, Lopes PF. Growth and yield prediction using the modified Buckman model. Revista Árvore 2006; 30(5): 787-793. 10.1590/S0100-67622006000500012
Silva JAA. Dynamics of stand structure in fertilized slash pine plantations [dissertation]. Athens: University of Georgia; 1986.
Valença M. Fundamentos das redes neurais: exemplos em Java. 2. ed. Olinda: Livro Rápido; 2010.
Verhulst PF. Notice sur la loi que la population poursuit dans son accroissement. Correspondance Mathématique et Physique 1838; 10: 113-121.
Submitted date:
03/28/2017
Accepted date:
11/21/2017