Floresta e Ambiente
https://www.floram.org/article/doi/10.1590/2179-8087.062517
Floresta e Ambiente
Original Article Forest Management

Diameter Increment Modeling in an Araucaria Forest Fragment Using Cluster Analysis

Mailson Roik; Sebastião do Amaral Machado; Afonso Figueiredo Filho; Carlos Roberto Sanquetta; Marcelo Roveda; Thiago Floriani Stepka

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Abstract

ABSTRACT: The aims of the present study were to test the hypothesis that data stratification by cluster analysis and the use of other variables, in addition to DBH, can improve the precision of the estimates in diametric increment modeling for Mixed Ombrophilous Forest species. The study was carried out in the Irati National Forest. Data from 25 permanent sample plots of 1 ha each were used with all individuals presenting DBH equal to or greater than 10 cm being identified and measured. The increment modeling was performed for the whole forest (non-stratified data), ecological groups and species subgroups (stratified data) defined by cluster analysis. DBH presented a low correlation with the diametric increment and the use of other independent variables had a positive effect on the fitting, reducing the standard error of estimate and increasing the coefficient of determination. The data stratification did not make the models suitable to estimate the diametric increment; however, it provided improvements by reducing the standard error of estimate, suggesting that this technique can be better applied in the search for improvements to diametric modeling in natural forests.

Keywords

data stratification, growth, Mixed Ombrophilous Forest, multivariate analysis

References

Alder D. Growth modeling for mixed tropical forests. Oxford: Oxford Forestry Institute, Department of Plant Sciences, University of Oxford; 1995.

Alemdag IS. Evaluation of some competition indexes for the prediction of diameter increment in planted white spruce. Ottawa: Canadian Forestry Service, Department of the Environment, Forest Management Institute Information; 1978. 39 p. Report FRM X 108.

Boivin F, Paquette A, Papaik MJ, Thiffault N, Messier C. Do position and species identity of neighbours matter in 8-15-year-old post harvest mesic stands in the boreal mixedwood? Forest Ecology and Management 2010; 260(7): 1124-1131. http://dx.doi.org/10.1016/j.foreco.2010.06.037.

Bueno S, Bevilacqua E. Modeling stem increment in individual Pinus occidentalis Sw. trees in La Sierra, Dominican Republic. Forest Systems 2010; 19(2): 170-183. http://dx.doi.org/10.5424/fs/2010192-01312.

Carvalho PER. Espécies arbóreas brasileiras. Vol. 2. Brasília: Embrapa Floresta; 2006.

Carvalho PER. Espécies arbóreas brasileiras. Vol. 3. Brasília: Embrapa Floresta; 2008.

Chai FYC, Lemay VM. Development and testing of diameter increment models for mixed swamp forests of Sarawak. Forest Ecology and Management 1993; 58(1-2): 51-64. http://dx.doi.org/10.1016/0378-1127(93)90131-6.

Chassot T, Fleig FD, Finger CAG, Longhi SJ. Modelos de crescimento em diâmetro de árvores individuais de Araucaria angustifolia (Bertol.) Kuntze na Floresta Ombrófila Mista. Ciência Florestal 2011; 21(2): 303-313. http://dx.doi.org/10.5902/198050983234.

Clark DA, Clark DB. Getting the canopy: tree height growth in a neotropical rain forest. Ecology 2001; 82(5): 1460-1472. http://dx.doi.org/10.1890/0012-9658(2001)082[1460:GTTCTH]2.0.CO;2.

Costa EA, Finger AG. Efeito da competição nas relações dimensionais de Araucária. Floresta e Ambiente 2017; 24(1): 1-11.

Cunha TA, Finger CAG. Competição assimétrica e o incremento diamétrico de árvores individuais de Cedrela odorata L. na Amazônia ocidental. Acta Amazonica 2013; 43(1): 9-18. http://dx.doi.org/10.1590/S0044-59672013000100002.

Cunha TA. Modelagem do incremento de árvores individuais de Cedrela odorata L. na Floresta Amazônica [tese]. Santa Maria: Setor de Ciências Agrárias, Universidade Federal de Santa Maria; 2009.

Dawkins HC. The management of natural tropical high forest with special reference to Uganda. Oxford: University of Oxford, Imperial Forestry Institute; 1958.

Della-Flora JB, Durlo MA, Spathelf P. Modelo de incremento para árvores singulares – Nectandra megapotamica (Spreng.) Mez. Ciência Florestal 2004; 14(1): 165-177. http://dx.doi.org/10.5902/198050981791.

Dimov LD, Chambers JL, Lockhart BR. Five-year radial growth of red oaks in mixed bottomland hardwood stands. Forest Ecology and Management 2008; 255(1): 2790-2800. http://dx.doi.org/10.1016/j.foreco.2008.01.070.

Figueiredo A Fo, Retslaff FS, Retslaff FS, Santos TL, Stepka TF. Crescimento e idade de espécies nativas regenerantes sob plantio de Araucaria angustifolia no Paraná. Floresta e Ambiente 2017; 24(1): 1-9.

Fox JC, Bi H, Ades PK. Modelling spatial dependence in an irregular natural forest. Silva Fennica 2008; 42(1): 35-48. http://dx.doi.org/10.14214/sf.262.

Hernández EH, Luna JAN. Relaciones morfométricas de un bosque coetáneo de la región del El Salto, Durango. Ra Ximhai 2008; 4(1): 69-81.

Husch B, Miller CI, Beers TW. Forest mensuration. 3rd ed. New York: John Wiley & Sons; 1982. 402 p.

Kageyama PY, Gandara FB. Dinâmica de populações de espécies arbóreas: implicações para o manejo e a conservação. Aciesp 1994; 2(1): 1-9.

Lorenzi H. Árvores brasileiras: manual de identificação e cultivos de plantas arbóreas do Brasil. 2nd ed. São Paulo: Nova Odessa; 2002.

Nebel G, Meilby H. Growth and populations structure of timber species in Peruvian Amazon flood plains. Forest Ecology and Management 2005; 215(1): 196-211. http://dx.doi.org/10.1016/j.foreco.2005.05.017.

Orellana E, Koehler AB. Relações morfométricas de Ocotea odorifera (Vell.) Rohwer. Revista Acadêmica 2008; 6(2): 229-237. http://dx.doi.org/10.7213/cienciaanimal.v6i2.10496.

Palahí M, Grau JM. Preliminary site índex model and individual-tree growth and mortality models for Black pine (Pinus nigra Arn.) in Catalonia (Spain). Forest Systems 2003; 12(1): 137-148.

Palahí M, Pukkala T, Miina J, Montero G. Individual-tree growth and mortality models for Scots pine (Pinus sylvestris L.) in north-east Spain. Annals of Forest Science 2003; 60(1): 1-10.

Phillips PD, Azevedo CP, Degen B, Thompson IS, Silva JNM, Van Gardingen PR. An individual-based spatially explicit simulation model for strategic forest management planning in the eastern Amazon. Ecological Modelling 2004; 173(4): 335-354. http://dx.doi.org/10.1016/j.ecolmodel.2003.09.023.

Prodan M, Peters R, Cox F, Real P. Mensura forestal. San Jose: Deutsche Gesellschaft fur Technische Zusammenarbeit, Instituto Interamericano de Cooperacion para la Agricultura; 1997. 561 p.

Rossi LMB. Processo de difusão para simulação da dinâmica de floresta natural [tese]. Curitiba: Setor de Ciências Agrárias, Universidade Federal do Paraná; 2007.

Sawczuk AR, Figueiredo A Fo, Dias AN, Watzlawick LF, Stepka TF. Alterações na estrutura e na diversidade florística no período 2002-2008 de uma Floresta Ombrófila Mista Montana do centro-sul do Paraná, Brasil. Floresta 2012; 42(1): 1-10. http://dx.doi.org/10.5380/rf.v42i1.26286.

Schneider PR, Schneider PSP. Introdução ao manejo florestal . 2nd ed. Santa Maria: UFSM; 2008. 566 p.

Selle GL, Vuaden E. Crescimento de seis espécies nativas na região central do estado do Rio Grande do Sul. Ambiência 2010; 6(1): 169-192.

Sistema Meteorológico do Paraná – SIMEPAR [online]. 2012. [cited 2012 Apr 12]. Available from: http://www.simepar.br/

Stepka TF, Dias AN, Figueiredo A Fo, Machado SA, Sawczuk AR. Modelagem do incremento em diâmetro da Araucaria angustifolia em uma Floresta Ombrófila Mista no Centro-Sul do Paraná. Floresta 2012; 42(3): 607-620. http://dx.doi.org/10.5380/rf.v42i3.21718.

Swaine MD. Population dynamics of tree species in tropical forests. In: Nielsen LBH, Nielsen IC, Balslev H, editors. Botanical dynamics, speciation and diversity . San Diego: Academic Press; 1990. p. 3-101.

Terborgh J, Flores N C, Mueller P, Davenport L. Estimating the ages of sucessional stands of tropical trees form growth increments. Journal of Tropical Ecology 1997; 14(1): 833-856. http://dx.doi.org/10.1017/S0266467400011020.

Thorpe HC, Astrup R, Trowbridge A, Coates KD. Competition and tree crowns: a neighbourhood analysis of three boreal tree species. Forest Ecology and Management 2010; 259(8): 1586-1596. http://dx.doi.org/10.1016/j.foreco.2010.01.035.

Tonini H. Índices de competição e o seu uso na modelagem do crescimento das árvores. Boa Vista: Embrapa; 2007. 30 p

United States Department of Agriculture – USDA. Soil taxonomy: a basic system of soil classification for making and interpreting soil surveys. Washington; 1999.

Vanclay JK. Aggregating tree species to develop diameter increment equations for tropical rainforests. Forest Ecology and Management 1991; 42(3): 143-168. http://dx.doi.org/10.1016/0378-1127(91)90022-N.

Von Bertalanffy L. Quantitative laws for methabolism and grown. The Quarterly Review of Biology 1957; 32(3): 217-231. http://dx.doi.org/10.1086/401873. PMid:13485376.

Wink C, Monteiro JS, Reinert DJ, Liberalesso E. Parâmetros da copa e a sua relação com o diâmetro e altura das árvores de eucalipto em diferentes idades. Scientia Forestalis 2012; 40(93): 57-67.

Zimmermann APL, Costa EA, Schröder T, Fleig FD. Modelagem do incremento diamétrico de Pinus taeda em função de variáveis da copa e índices de competição. Floresta 2016; 46(1): 115-122. http://dx.doi.org/10.5380/rf.v46i1.42424.
 

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