DIAMETER GROWTH OF PodocarpuslambertiiTREES FROM TWO PHYTOGEOGRAPHICAL REGIONS OF RIO GRANDE DO SUL STATE, BRAZIL
DOI:
https://doi.org/10.5902/198050989288Keywords:
non-linear mixed model, variance component, growth, individual treeAbstract
http://dx.doi.org/10.5902/198050989288
The present study evaluated the diameter growth of Podocarpuslambertiitrees from two phytogeographical regions in Rio Grande do Sul State, Brazil, denominated ‘Campos de Cima da Serra’ and ‘Depressão Central’. The data were obtained using Stem Analysis and described by the Logistic growth model. The asymptote and growth rate were randomized by a non-linear mixed model to verify differences in their performances in both regions. The growth model explained 85% of the total variation in the tree growth trajectory and the variance component was significant and consistent and revealed that trees growing in ‘Campos de Cima da Serra’ region presented a higher diameter growth rate.
Downloads
References
ALEMDAG, I. S. National side-index and height-growth curves for white spruce growing in natural stands in Canadá. Canadian Journal of Forest Research, New Westminster, v. 21, n. 10, p. 1466-1474, 1991.
BRASIL. MINISTÉRIO DO MEIO AMBIENTE. Programa nacional de florestas: políticas públicas para o setor florestal – linhas de crédito. Piracicaba: ESALQ, 2006. 67 p. Disponível em: <http://www.tume.esalq.usp.br/simp/arquivos/mma.pdf>. Acesso em: 14 mar. 2006.
CARVALHO, P. E. R. Espécies arbóreas brasileiras. Brasília, DF: Embrapa Informações Tecnológicas; Colombo: Embrapa Florestas, 2003. 1039 p. v. 1.
DRAPER, N. R.; SMITH, H. Applied Regression Analysis, New York: John Wiley and Sons, 1981. 709 p.
FEKEDULEGN, D., SIURTAIN, M. P.; COLBERT, J. J. Parameter Estimation of Nonlinear Growth Models in Forestry. Silva Fennica, Vantaa, v. 33, p. 327-336, 1999.
IBGE. Fundação Instituto Brasileiro de Geografia e Estatística. Manual técnico da vegetação brasileira (Série: Manuais técnicos em geociências n. 1). Rio de Janeiro, 1992.
MAIXNER, A. E.; FERREIRA, L. A. B. Contribuição ao estudo das essências florestais e frutíferas nativas no Estado do Rio Grande do Sul. Trigo e Soja, Porto Alegre, n. 18, p. 3-20, 1976.
REITZ, R.; KLEIN, R. M.; REIS, A. Projeto madeira do Rio Grande do Sul. Sellowia, Itajaí, v. 34/35, n. 35, p. 1-525, 1983.
RICHARDS, F. J. A flexible growth function for empirical use. Journal of Experimental Botany, Oxford, v. 10, n. 2, p. 290-301, 1959.
SAS/STAT. SAS Institute Inc., Cary, NC, 2007.
SCHNEIDER, P. R. Anatro: programa de computador, ambiente MS-DOS. Santa Maria: [s.n.], 1984.
SEBER, G. A. F.; WILD, C. J. Nonlinear Regression. New York: Wiley, 1989.
VANCLAY, J. K.; SKOVSGAARD, J. P. Evaluating forest growth models, Ecological Modeling, v. 98, p. 1-12, 1997.
ZEIDE, B. Intrinsic units in growth modeling. Ecological Modelling, v.175, p.249-259. 2004.
ZHAO, D.; WILSON, M.; BORDERS, B. E. Modeling response curves and testing treatment effects in repeated measures experiments: a multilevel nonlinear mixed-effects model approach. Canadian Journal of Forest Research, New Westminster, v. 132, p. 122-132, 2005.
