Stand biomass estimation methods for Eucalyptus grandis and Eucalyptus dunnii in Uruguay

SUMMARY: Biomass additivity is a desirable characteristic of a system of equations for predicting components and total biomass, since equations independently adjusted generate biologically inconsistent results. The aim of this study was to fit and compare three methods for modelling biomass: (i) tot...

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Autores principales:	Hirigoyen,Andrés, Resquin,Fernando, Navarro Cerrillo,Rafael, Franco,Jorge, Rachid Casnati,Cecilia
Lenguaje:	English
Publicado:	Universidad Austral de Chile, Facultad de Ciencias Forestales 2021
Materias:	Additive biomass equations biomass partitioning NSUR system of equations
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002021000100053
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spelling	oai:scielo:S0717-920020210001000532021-07-25Stand biomass estimation methods for Eucalyptus grandis and Eucalyptus dunnii in UruguayHirigoyen,AndrésResquin,FernandoNavarro Cerrillo,RafaelFranco,JorgeRachid Casnati,Cecilia Additive biomass equations biomass partitioning NSUR system of equations SUMMARY: Biomass additivity is a desirable characteristic of a system of equations for predicting components and total biomass, since equations independently adjusted generate biologically inconsistent results. The aim of this study was to fit and compare three methods for modelling biomass: (i) total biomass individual regression, (ii) total biomass regression function calculated as the sum of separate biomass components, and (iii) simultaneous equations of biomass components based on Nonlinear Seemingly Unrelated Regression. A total of 208 trees of Eucalyptus dunnii and Eucalyptus grandis were harvested and destructively sampled to record above-ground biomass. Results indicate that a system of equations adjusted by simultaneous equations provides accurate biomass estimations, guaranteeing additivity. This model system showed good fit and good prediction performance, given that the correlation coefficient was higher than 97 % for total above-ground biomass, for both species; whereas root mean square error was 23.9 kg and 30.2 kg for E. grandis and E. dunnii, respectively. A system of biomass equations was developed for each eucalyptus species, such that the sum of the estimations of the biomass components equaled the estimate of above-ground biomass. Results showed that the systems of equations have high potential for improving the accuracy of individual tree above-ground biomass estimates for both species.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.42 n.1 20212021-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002021000100053en10.4067/S0717-92002021000100053
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Additive biomass equations biomass partitioning NSUR system of equations
spellingShingle	Additive biomass equations biomass partitioning NSUR system of equations Hirigoyen,Andrés Resquin,Fernando Navarro Cerrillo,Rafael Franco,Jorge Rachid Casnati,Cecilia Stand biomass estimation methods for Eucalyptus grandis and Eucalyptus dunnii in Uruguay
description	SUMMARY: Biomass additivity is a desirable characteristic of a system of equations for predicting components and total biomass, since equations independently adjusted generate biologically inconsistent results. The aim of this study was to fit and compare three methods for modelling biomass: (i) total biomass individual regression, (ii) total biomass regression function calculated as the sum of separate biomass components, and (iii) simultaneous equations of biomass components based on Nonlinear Seemingly Unrelated Regression. A total of 208 trees of Eucalyptus dunnii and Eucalyptus grandis were harvested and destructively sampled to record above-ground biomass. Results indicate that a system of equations adjusted by simultaneous equations provides accurate biomass estimations, guaranteeing additivity. This model system showed good fit and good prediction performance, given that the correlation coefficient was higher than 97 % for total above-ground biomass, for both species; whereas root mean square error was 23.9 kg and 30.2 kg for E. grandis and E. dunnii, respectively. A system of biomass equations was developed for each eucalyptus species, such that the sum of the estimations of the biomass components equaled the estimate of above-ground biomass. Results showed that the systems of equations have high potential for improving the accuracy of individual tree above-ground biomass estimates for both species.
author	Hirigoyen,Andrés Resquin,Fernando Navarro Cerrillo,Rafael Franco,Jorge Rachid Casnati,Cecilia
author_facet	Hirigoyen,Andrés Resquin,Fernando Navarro Cerrillo,Rafael Franco,Jorge Rachid Casnati,Cecilia
author_sort	Hirigoyen,Andrés
title	Stand biomass estimation methods for Eucalyptus grandis and Eucalyptus dunnii in Uruguay
title_short	Stand biomass estimation methods for Eucalyptus grandis and Eucalyptus dunnii in Uruguay
title_full	Stand biomass estimation methods for Eucalyptus grandis and Eucalyptus dunnii in Uruguay
title_fullStr	Stand biomass estimation methods for Eucalyptus grandis and Eucalyptus dunnii in Uruguay
title_full_unstemmed	Stand biomass estimation methods for Eucalyptus grandis and Eucalyptus dunnii in Uruguay
title_sort	stand biomass estimation methods for eucalyptus grandis and eucalyptus dunnii in uruguay
publisher	Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate	2021
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002021000100053
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Stand biomass estimation methods for Eucalyptus grandis and Eucalyptus dunnii in Uruguay

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