Course detail

LCF5877 - Advanced Forest Biometrics

Credit hours

In-class work
per week
per week
4 weeks
120 hours

João Luis Ferreira Batista

The course covers all subjects related to emprical model building in Forest Biometrics. The basic concepts and the fundamentals related to forest models are discussed and the acquired knowledge is applied to the solution of practical problemas. Particular attention is given to the statistical inference throuhg the Likelihood Axiom in the methods for parameter estimation and model comparison. All computational procedures are made in the R computing environment.

1. Fundamentals of scientific inference. The role of Statistics in scientific inference. Classical statistical inference. Model based inference. Inference based on the Likelihood Axiom.
2. Fundamentals of Forest Biometrics modeling: trees, tree-clusters and forests. Mensuration, estimation and prediciton.
3. Arborimetric models: hipsometric relationship, volume equations, biomass equations, wood sorting models, individual tree growth and survival models.
4. Arbustimetric models – modelling tree-cluster attributes: site models, stand density models, diameter distribution models, abundance models.
5. Arbustimetric models – modelling forest production: yield equations, growth and yield models, explicti models and implicit models.

Arlot, S.; Celisse, A.; A survey of cross-validation procuedures for model selection. Statistics Surveys, v.4, p.40-79, 2010.
Batista, J.L.F.; Biometria Florestal segundo o Axioma da Verossimilhança: com aplicações em Mensuração Florestal. Universidade de São Paulo, Escola Superior de Agricultura "Luiz de Queiroz" (Tese de Livre-Docência), Piracicaba, 393p., 2014.
Batista, J.L.F.; Couto, H.T.Z. do; Silva Filho, D.F. da; Quantificação de Recursos Florestais: Árvores, Arvoredos e Florestas. São Paulo: Oficina de Textos, 384p., 2014.
Batista, J.L.F.; Verossimilhança e Máxima Verossimilhança. Apostila, Piracicaba, 2009.
Bolker, B.M.; Ecological Models and Data in R. Princeton: Princeton Univ. Press, 2008.
Burkhart, B.E.; Tomé, M. Modeling Forest Trees and Stands. Dordrecht: Springer, 2012.
Burnham, K.P; Anderson, D.R.; Model Selection and Multimodel Inference. New York: Springer-Verlag, 2002.
Edwards, A.W.F.; Likelihood (expanded Edition). Baltimore: The John Hopkins Unviversity Press, 1992.
Hilborn, R.; Mangel, M.; The Ecological Detective. Monographs in Population Biology no. 28. Princeton: Princeton University Press, 2002.
Kerr, G.; The management of silver fir forests: de Liocourt (1898) revisisted. Forestry, v.87, n.1, p.29-38, 2014.
Lai, J.; Coomes, D.A.; Du, X.; Hsieh, C.F.; Sun, I.F; Chao, W.C.; Mi, X.; Ren, H.; Wang, X.; Hao, Z.; Ma, K.; A general combined model to describe tree-diameter distribution within subtropical and temperate forest communities. Oikos, v.122, n.11, p.1636-1642, 2013.
Lane, S.E.; Robinson, A.P.; Baker, T.G.; The functional regression tree method for diameter distribution modelling. Canadian Journal of Forest Research, v.40, p.1870-1977, 2010.
Mark, L.T.; Lele, S.R.; (coord). The Nature of Scientific Evidence. Chicago: University of Chicago Press, 2004.
Pawitan, Y.; In All Likelihood: Statistical Modelling and Inference Using Likelihood. Oxford: Claredon Press, 2001.
Poudel, K.P.; Cao, Q.V.; Evaluation of Methods to Predict Weibull Parameters for Characterizing Diameter Distributions. Forest Science, v.59, n.2, p.243-252, 2013.
Royall, R.; Statistical Evidence: A Likelihood Paradigm. Boca Raton: Chapman & Hall/CRC, 1997.
Stankova, t.; Diéguez-Aranda, U.; Diameter Distribution models for Scots Pine Plantations in Bulgaria. Forestry Ideas, v.16, n.2, p.155-162, 2010.
Taubert, F.; Hartig, F.; Dobner, H.J.; Huth, A.; On the Challenge of Fitting Tree Size Distributions in Ecology. PLoS ONE, v.8, n.2, p.e58036, 2013.
Vanclay, J.K.; Robust relationships for simple plantation growht models based on sparse data. Forest Ecology and Management, v.259, n.5, p.1050-1054, 2010.
Venables,W.N.; Ripley, B.D.; Modern Applied Statistics with S. New York: Springer, 2002.
Vospernik, S.; Monserud, R.A.; Sterba, H.; Do individual-tree growth models correctly represent height:diameter ratios of Norway Spruce and Scots Pine? Forest Ecology and Management, v.260, n.10, p.1735-1753, 2010.
Vismara, E.S.; Mensuração da biomassa e construção de modelos para construção de equações de biomassa. Dissertação de Mestrado, ESALQ-USP, Piracicaba, 2009.