Critical analyses when modeling tree biomass to ensure additivity of its components
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000401759 |
Resumo: | ABSTRACT It is presented the theme additivity of biomass of tree components. To evaluate and discuss this context, experimental information collected in forests of Acacia mearnsii De Wild. was used. Equations for components (stem and crown) and total biomass were fitted by means of two procedures: 1) generalized nonlinear least squares and 2) weighted-nonlinear seemingly unrelated regressions. Analyzing the performance of the estimators, it can be concluded that the two tested procedures are equivalent. On the other hand, this conclusion differs when evaluated the consistency and efficiency of the estimators. Fitting equations for the components and for the total biomass by an independent way is not realistic, because from a biological point of view the estimates of biomass are inconsistent, i.e., are not additive. The biomass estimates of the components and of the total, resulting from equations adjusted by means of systems of equations, provided narrower confidence intervals in relation to the equations adjusted independently, and is therefore more efficient. The second procedure presents better biological properties and statistics to estimate allometric equations for biomass of the components and for the total when compared with the independent estimation, thus it should be the method to be used. |
id |
ABC-1_3de16809a68a3d6e04a33bbbeb9c8bfb |
---|---|
oai_identifier_str |
oai:scielo:S0001-37652018000401759 |
network_acronym_str |
ABC-1 |
network_name_str |
Anais da Academia Brasileira de Ciências (Online) |
repository_id_str |
|
spelling |
Critical analyses when modeling tree biomass to ensure additivity of its componentsBiomassBiological consistencyNon-linear regressionSystem of equationsABSTRACT It is presented the theme additivity of biomass of tree components. To evaluate and discuss this context, experimental information collected in forests of Acacia mearnsii De Wild. was used. Equations for components (stem and crown) and total biomass were fitted by means of two procedures: 1) generalized nonlinear least squares and 2) weighted-nonlinear seemingly unrelated regressions. Analyzing the performance of the estimators, it can be concluded that the two tested procedures are equivalent. On the other hand, this conclusion differs when evaluated the consistency and efficiency of the estimators. Fitting equations for the components and for the total biomass by an independent way is not realistic, because from a biological point of view the estimates of biomass are inconsistent, i.e., are not additive. The biomass estimates of the components and of the total, resulting from equations adjusted by means of systems of equations, provided narrower confidence intervals in relation to the equations adjusted independently, and is therefore more efficient. The second procedure presents better biological properties and statistics to estimate allometric equations for biomass of the components and for the total when compared with the independent estimation, thus it should be the method to be used.Academia Brasileira de Ciências2018-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000401759Anais da Academia Brasileira de Ciências v.90 n.2 2018reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201820170684info:eu-repo/semantics/openAccessBEHLING,ALEXANDREPÉLLICO NETTO,SYLVIOSANQUETTA,CARLOS ROBERTOCORTE,ANA PAULA D.AFFLECK,DAVID L.R.RODRIGUES,AURÉLIO L.BEHLING,MARCOSeng2018-06-08T00:00:00Zoai:scielo:S0001-37652018000401759Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2018-06-08T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
Critical analyses when modeling tree biomass to ensure additivity of its components |
title |
Critical analyses when modeling tree biomass to ensure additivity of its components |
spellingShingle |
Critical analyses when modeling tree biomass to ensure additivity of its components BEHLING,ALEXANDRE Biomass Biological consistency Non-linear regression System of equations |
title_short |
Critical analyses when modeling tree biomass to ensure additivity of its components |
title_full |
Critical analyses when modeling tree biomass to ensure additivity of its components |
title_fullStr |
Critical analyses when modeling tree biomass to ensure additivity of its components |
title_full_unstemmed |
Critical analyses when modeling tree biomass to ensure additivity of its components |
title_sort |
Critical analyses when modeling tree biomass to ensure additivity of its components |
author |
BEHLING,ALEXANDRE |
author_facet |
BEHLING,ALEXANDRE PÉLLICO NETTO,SYLVIO SANQUETTA,CARLOS ROBERTO CORTE,ANA PAULA D. AFFLECK,DAVID L.R. RODRIGUES,AURÉLIO L. BEHLING,MARCOS |
author_role |
author |
author2 |
PÉLLICO NETTO,SYLVIO SANQUETTA,CARLOS ROBERTO CORTE,ANA PAULA D. AFFLECK,DAVID L.R. RODRIGUES,AURÉLIO L. BEHLING,MARCOS |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
BEHLING,ALEXANDRE PÉLLICO NETTO,SYLVIO SANQUETTA,CARLOS ROBERTO CORTE,ANA PAULA D. AFFLECK,DAVID L.R. RODRIGUES,AURÉLIO L. BEHLING,MARCOS |
dc.subject.por.fl_str_mv |
Biomass Biological consistency Non-linear regression System of equations |
topic |
Biomass Biological consistency Non-linear regression System of equations |
description |
ABSTRACT It is presented the theme additivity of biomass of tree components. To evaluate and discuss this context, experimental information collected in forests of Acacia mearnsii De Wild. was used. Equations for components (stem and crown) and total biomass were fitted by means of two procedures: 1) generalized nonlinear least squares and 2) weighted-nonlinear seemingly unrelated regressions. Analyzing the performance of the estimators, it can be concluded that the two tested procedures are equivalent. On the other hand, this conclusion differs when evaluated the consistency and efficiency of the estimators. Fitting equations for the components and for the total biomass by an independent way is not realistic, because from a biological point of view the estimates of biomass are inconsistent, i.e., are not additive. The biomass estimates of the components and of the total, resulting from equations adjusted by means of systems of equations, provided narrower confidence intervals in relation to the equations adjusted independently, and is therefore more efficient. The second procedure presents better biological properties and statistics to estimate allometric equations for biomass of the components and for the total when compared with the independent estimation, thus it should be the method to be used. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000401759 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000401759 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765201820170684 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.90 n.2 2018 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
_version_ |
1754302866564055040 |