Floresta e Ambiente
https://floram.org/article/doi/10.1590/2179-8087.098017
Floresta e Ambiente
Original Article Forest Management

Modeling Mortality of Individual Trees in a Seasonal Semi-Deciduous Forest

Lívia Thaís Moreira de Figueiredo; Carlos Pedro Boechat Soares; Renato Vinícius Oliveira Castro; Helio Garcia Leite; Agostinho Lopes de Souza; Gilson Fernandes da Silva; Carlos Moreira Miquelino Eleto Torres

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Abstract

Abstract: The objective of this study was to assess and compare two methodologies to predict the mortality of individual trees in a seasonal semi-deciduous forest located in the municipality of Viçosa, Minas Gerais, Brazil. The data came from 10 permanent plots and were randomly divided into two groups: fitting (6 plots) and validation (4 plots). When assessing Methodology 1, the mortality was considered a dichotomous variable in a logistic model, assuming a value of 1 for a dead tree and 0 for a living tree. In Methodology 2, the mortality probability was estimated by the group of trees for each plot and for each measurement interval. After the analysis, it was observed that Methodology 2 provided more consistent mortality estimates when compared to the mortality estimated by Methodology 1.

Keywords

probability of mortality, uneven-aged forest, growth models

References

Campos JCC, Leite HG. Mensuração florestal: perguntas e respostas. 5th ed. Viçosa: UFV; 2017. p. 636.

Castro RVO, Soares CPB, Leite HG, Souza AL, Martins FB, Nogueira GS et al. Competição em nível de árvore individual em uma floresta estacional semidecidual. Silva Lusitana 2014; 22(1): 43-66.

Castro RVO, Soares CPB, Leite HG, Souza AL, Martins FB, Nogueira GS et al. Artificial neural networks effectiveness to estimate mortality in a Semi-Deciduous Seasonal Forest. Australian Journal of Basic and Applied Scienses 2015; 9(5): 435-444.

Crecente-Campo F, Marshall P, Rodríguez-Soalleiro R. Modelling non-catastrophic individual-tree mortality for Pinus radiata plantations in northwestern Spain. Forest Ecology and Management 2009; 257(6): 1542-1550. 10.1016/j.foreco.2009.01.007

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. 10.1590/S0044-59672013000100002

Ferreira RLC, Souza AL, Jesus RM. Ingresso e mortalidade em floresta secundária de transição. Revista Árvore 1998; 22(2): 155-162.

Figueiredo LTM, Soares CPB, Souza AL, Martins SV. Alterações florísticas em uma floresta Estacional Semidecidual no município de Viçosa, MG, entre 1994 e 2008. Floresta 2013; 43(2): 169-180. 10.5380/rf.v43i2.28869

Flewelling JW, Monserud RA. Comparing methods for modelling tree mortality. In: RMRS-P-25: Second Forest Vegetation Simulator Conference; 2002. Fort Collins: USDA; 2002. p. 168-177.

Gandolfi S, Leitão Filho HF, Bezerra, CL. Levantamento florístico e caráter sucessional de espécies arbustivo-arbóreas de uma floresta Mesófila Semidecídua no município de Guarulhos, SP. Revista Brasileira de Biologia 1995; 55(4): 753-767.

Glover GR, Hool JN. A basal area ratio predictor of loblolly pine plantation mortality. Forest Science 1979; 25(2): 275-282. 10.1093/forestscience/25.2.275

Gujarati DN, Porter DC. Econometria básica. 5th ed. Porto Alegre: Bookman; 2011.

Hasenauer H, editor. Sustainable forest management: growth models for Europe. New York: Springer-Verlag; 2006.

Ma W, Lei X. Nonlinear simultaneous equations for individual-tree diameter growth and mortality model of natural Mongolian oak forests in northeast China. Forests 2015; 6(6): 2261-2280. 10.3390/f6062261

Martins FB, Soares CPB, Leite HG, Souza AL, Castro RVO. Índices de competição em árvores individuais de eucalipto. Pesquisa Agropecuária Brasileira 2011; 46(9): 1089-1098. 10.1590/S0100-204X2011000900017

Monserud RA. Simulation of forest tree mortality. Forest Science 1976; 22(4): 438-444. 10.1093/forestscience/22.4.438

Monserud RA, Sterba H. Modeling individual tree mortality for Austrian forest species. Forest Ecology and Management 1999; 113 (2-3): 109-123. 10.1016/S0378-1127(98)00419-8

Pretzsch H, Biber P, Durský J. The single tree-based stand simulator Silva: construction, application and evaluation. Forest Ecology and Management 2002; 162(1): 3-21. 10.1016/S0378-1127(02)00047-6

Rolim SG, Couto HTZ, Jesus RM. Mortalidade e recrutamento de árvores na Floresta Atlântica de Linhares. Scientia Forestalis 1999; 55: 49-69.

Rossi LMB, Koehler HS, Sanquetta CR, Arce JE. Modelagem de mortalidade em florestas naturais. Revista Floresta 2007; 37(2): 275-291. 10.5380/rf.v37i2.8656

Silva JNM. The behavior of tropical rain forest of the Brazilian Amazon after logging [thesis]. Oxford: University of Oxford; 1989. 302 p.

Soares CPB, Gezan SA, Silva GF, Castro RVO. Individual-tree growth and mortality models for a Semideciduous Atlantic forest in Brazil. Australian Journal of Basic and Applied Sciences 2015; 9(11): 542-552.

Sokal RR, Rohlf FJ. Biometry: The principles and practice of statistics in biological research. 1st ed. San Francisco: Freeman and Company; 1969.

Statsoft INC. Statistica for Windows (Data Analysis Software System). Version 12. Statsoft, Tulsa. Oklahoma; 2013.

Vanclay JK. Modelling forest growth and yield: applications to mixed tropical forests. Copenhagen: CAB International; 1994.

West PW. Simulation of diameter growth and mortality in regrowth Eucalypt forest of southern Tasmania. Forest Science 1981; 27(3): 603-616. 10.1093/forestscience/27.3.603

Weiskittel AR, Hann DW, Kershaw JA Jr, Vanclay JK. Forest growth and yield modeling. Oxford: John Wiley & Sons; 2011.

Williamson GB, Mesquita RCG, Ickes K, Ganade G. Estratégias de colonização de árvores pioneiras nos Neotrópicos. In: Gascon C, Moutinho P, editors. Floresta Amazônica: dinâmica, regeneração e manejo. Manaus: INPA; 1998. p. 131-143.

Yao X, Titus SJ, Macdonald SE. A generalized logistic model of individual tree mortality for aspen, white spruce, and lodgepole pine in Alberta mixedwood forests. Canadian Journal of Forest Research 2001; 31(2): 283-291. 10.1139/x00-162
 


Submitted date:
09/30/2017

Accepted date:
08/30/2019

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