Additive and Non-additive Biomass Equations for Black Wattle
Equações de Biomassa Aditivas e não Aditivas para Acácia Negra
Alexandre Behling; Sylvio Péllico Netto; Carlos Roberto Sanquetta; Ana Paula Dalla Corte; Augusto Arlindo Simon; Aurélio Lourenço Rodrigues; Braulio Otomar Caron
Abstract
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Resumo
RESUMO: Os objetivos desse trabalho foram propor equações aditivas de biomassa dos componentes (fuste e copa) com a biomassa total para a espécie acácia negra (Acacia mearnsii De Wild.) e demonstrar a inconsistência de equações de biomassa ajustadas independentemente. Dois procedimentos foram utilizados para ajustar equações não lineares de biomassa: i) independente e ii) sistemas de equações. O segundo procedimento, definido pela aplicação do modelo de regressão aparentemente não relacionada, apresenta melhores propriedades biológicas e estatísticas para estimar equações alométricas de biomassa dos componentes e biomassa total, quando comparado com a estimação independente. Uma propriedade efetiva desse procedimento é a aditividade, isto é, as estimativas de biomassa dos componentes são compatíveis com as de biomassa total. As equações ajustadas independentes não consideram a dependência entre os componentes de biomassa, assim, além das estimativas não serem aditivas, propriedade indesejável, resultarão em estimativas com maior variância.
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References
Affleck DLR, Diéguez-Aranda U. Additive nonlinear biomass equations: a likelihood-based approach.
Barichello LR, Schumacher MV, Vogel MLM. Quantificação da biomassa de
Basuki TM, Van Laake PE, Skidmore AK, Hussin YA. Allometric equations for estimating the above-ground biomass in tropical lowland
Behling A.
Bi H, Long Y, Turner J, Lei Y, Snowdon P, Li Y et al. Additive prediction of aboveground biomass for
Bi H, Murphy S, Volkova L, Weston C, Fairman T, Li Y et al. Additive biomass equations based on complete weighing of sample trees for open eucalypt forest species in south-eastern Australia.
Caldeira MVW, Saidelles FLF, Schumacher MV, Godinho TO. Biomassa de povoamento de
Caldeira MVW.
Carbonera Pereira J, Schumacher MV, Hoppe JM, Caldeira MVW, Santos EM. Produção de biomassa em um povoamento de
Carvalho JP, Parresol BR. Additivity in tree biomass components of Pyrenean oak (
Chave J, Réjou-Méchain M, Búrquez A, Chidumayo E, Colgan MS, Delitti WBC et al. Improved allometric models to estimate the aboveground biomass of tropical trees.
Chiyenda SS, Kozak A. Additivity of component biomass regression equations when the underlying model is linear.
Cunia T, Briggs RD. Forcing additivity of biomass tables: some empirical results.
Dong L, Zhang L, Li F. A compatible system of biomass equations for three conifer species in Northeast, China.
Dudley NS, Fownes JH. Preliminary biomass equations for eight species of fast-growing tropical trees.
Fehrmann L, Kleinn C. General considerations about the use of allometric equations for biomass estimation on the example of Norway spruce in central Europe.
Genet A, Wernsdörfer H, Jonard M, Pretzsch H, Rauch M, Ponette Q et al. Ontogeny partly explains the apparent heterogeneity of published biomass equations for
Greene WH.
Harvey AC. Estimating regression models with multiplicative heteroscedasticity.
Kozak A. Methods of ensuring additivity of biomass components by regression analysis.
Maddala GS.
Mochiutti S.
Niklas KJ. Size-dependent allometry of tree height, diameter and trunk-taper.
Parresol BR. Modeling multiplicative error variance: an example predicting tree diameter from stump dimensions in bald cypress. Forest Science 1993; 39(4): 670-679.
Parresol BR. Assessing tree and stand biomass: a review with examples and critical comparisons. Forest Science 1999; 45: 573-593.
Parresol BR. Additivity of nonlinear biomass equations. Canadian Journal of Forest Research 2001; 31(5): 865-878. http://dx.doi.org/10.1139/x00-202
Picard N, Saint-André L, Henry M.
Pilli P, Anfodillo T, Carrer M. Towards a functional and simplified allometry for estimating forest biomass.
Poorter H, Niklas KJ, Reich PB, Oleksyn J, Poot P, Mommer L. Biomass allocation to leaves, stems and roots: meta-analyses of interspecific variation and environmental control.
Poudel KP, Temesgen H. Methods for estimating aboveground biomass and its components for Douglas-fir and lodgepole pine trees.
Saidelles FLF.
Saint-André L, M’Bou AT, Mabiala A, Mouvondy W, Jourdan C, Roupsard O et al. Age-related equations for above – and below: ground biomass of a
Sanquetta CR, Behling A, Corte AP, Simon A, Pscheidt H, Ruzza MS et al. Estoques de biomassa e carbono em povoamentos de acácia negra em diferentes idades no Rio Grande do Sul.
Sanquetta CR, Behling A, Corte APD, Péllico S No, Schikowski AB, Amaral M. Simultaneous estimation as alternative to independent modeling of tree biomass.
Sanquetta CR, Wojciechowski J, Dalla Corte AP, Behling A, Péllico S No, Rodrigues AL et al. Comparison of data mining and allometric model in estimation of tree biomass.
Sileshi GW. A critical review of forest biomass estimation models, common mistakes and corrective measures.
Steel RGD, Torrie JH, Dickey DA.
Stein PP, Tonietto L. Black wattle silviculture in Brazil. In: Brown AG, Ko HC, editors.
Wayson CA, Johnson KD, Cole JA, Olguín MI, Carrillo OI, Birdsey RA. Estimating uncertainty of allometric biomass equations with incomplete fit error information using a pseudo-data approach: methods.
Williams CJ, LePage BA, Vann DR, Tange T, Ikeda H, Ando M et al. Structure, allometry, and biomass of plantations Metasequoia glyptostroboides in Japan.
Zapata-Cuartas M, Sierra C, Alleman L. Probability distribution of allometric coefficients and Bayesian estimation of aboveground tree biomass.
Zhao D, Kane M, Markewitz D, Teskey R, Clutter M. Additive tree biomass equations for mid-rotation loblolly pine plantations.
Zheng C, Mason EG, Jia L, Wei S, Sun S, Duan J. A single-tree additive biomass model of
Zianis D. Predicting mean aboveground forest biomass and its associated variance.
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