Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/40651 |
Resumo: | Given the importance of forest formations in fixation of the CO2 from the atmosphere, it is necessary the knowledge of carbon variation in different ecosystems. Thus, the objective of this study was to characterize a floristic composition and a structure of the tree component, to evaluate a relationship between dendrometric variables of the stands and the gradients for the carbon storage present in the aboveground tree compartment, in addition to developing a linear multiple regression model to explain the carbon storages in a fragment of Seasonal Semideciduous Forest. At the site, 57 plots were allocated measuring the variables CAP (circumference at breast height) and total height of 15 cm above. The gradients evaluated were: longitude, latitude, altitude, and distance of the river for each plot. The carbon storage was estimated by the region's own equation. In addition, the differences between the variables were applied as a Principal component analysis (PCA) to identify the variables of greatest contribution in explaining the carbon storage. The results show a fragment with a high density of individuals (1,580 N / ha) and 160 species. The five species with the highest importance value were: Piptadenia gonoacantha, Senegalia polyphylla, Machaerium stipitatum, Actinostemon verticillatus, and Trichilia casaretti. PCA allowed observing that the gradients are highly correlated with the distribution of carbon storage from the aboveground compartment of the vegetation. On the composition of the carbon storage model the variables selected were: basal area, number of individuals, longitude, and altitude. Longitude and altitude significantly contributed significantly to the improvement of the proposed model. |
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Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidualInfluence of geographic gradients in the estimate of carbon stock a seasonal semidecidal forestAnálise de componentes principaisFitossociologiaModelagemPrincipal component analysisPhytosociologyModelingGiven the importance of forest formations in fixation of the CO2 from the atmosphere, it is necessary the knowledge of carbon variation in different ecosystems. Thus, the objective of this study was to characterize a floristic composition and a structure of the tree component, to evaluate a relationship between dendrometric variables of the stands and the gradients for the carbon storage present in the aboveground tree compartment, in addition to developing a linear multiple regression model to explain the carbon storages in a fragment of Seasonal Semideciduous Forest. At the site, 57 plots were allocated measuring the variables CAP (circumference at breast height) and total height of 15 cm above. The gradients evaluated were: longitude, latitude, altitude, and distance of the river for each plot. The carbon storage was estimated by the region's own equation. In addition, the differences between the variables were applied as a Principal component analysis (PCA) to identify the variables of greatest contribution in explaining the carbon storage. The results show a fragment with a high density of individuals (1,580 N / ha) and 160 species. The five species with the highest importance value were: Piptadenia gonoacantha, Senegalia polyphylla, Machaerium stipitatum, Actinostemon verticillatus, and Trichilia casaretti. PCA allowed observing that the gradients are highly correlated with the distribution of carbon storage from the aboveground compartment of the vegetation. On the composition of the carbon storage model the variables selected were: basal area, number of individuals, longitude, and altitude. Longitude and altitude significantly contributed significantly to the improvement of the proposed model.Diante da importância das formações florestais na fixação de CO2 da atmosfera faz-se necessário o conhecimento da variação do estoque de carbono nos diferentes ecossistemas. Assim, objetivou-se caracterizar a composição florística, e a estrutura do componente arbóreo, avaliar a relação entre as variáveis dendrométricas do povoamento e os gradientes para o estoque do carbono presente no compartimento arbóreo-aéreo, além de desenvolver um modelo linear múltiplo de regressão para explicar os estoques de carbono em um fragmento de Floresta Estacional Semidecidual. No local foram alocadas 57 parcelas medindo as variáveis CAP (circunferência à altura do peito) e altura total dos indivíduos acima de 15 cm. Os gradientes avaliados foram: longitude, latitude, altitude e distância do rio para cada parcela. O estoque de carbono foi estimado pela equação própria da região. Além disso, no entendimento das relações entre variáveis foi aplicada uma análise de componente principal (PCA) para identificar as variáveis de maior contribuição na explicativa do estoque de carbono. Os resultados mostram um fragmento com alta densidade de indivíduos (1.580 N/ha) e 160 espécies. As cinco espécies com maior valor de importância foram: Piptadenia gonoacantha, Senegalia polyphylla, Machaerium stipitatum, Actinostemon verticillatus e Trichilia casaretti. A PCA permitiu observar que os gradientes estão altamente correlacionados com a distribuição do estoque de carbono do compartimento aéreo da vegetação. Na composição do modelo para estoque de carbono as variáveis selecionadas foram: área basal, número de indivíduos, longitude e altitude. A longitude e altitude contribuíram significativamente na melhoria do modelo proposto.Universidade Federal do Paraná2020-05-06T18:16:43Z2020-05-06T18:16:43Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfVILAS BÔAS, H. et al. Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual. Biofix Scientific Journal, Curitiba, v. 4, n. 2, p. 137-145, 2019.http://repositorio.ufla.br/jspui/handle/1/40651Biofix Scientific Journalreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessVilas Bôas, HortênsiaMiranda, Evandro NunesAraújo, Laís AlmeidaCarvalho, Mônica CanaanPáscoa, Kallil José Viana daGomide, Lucas Rezendepor2020-05-06T18:17:07Zoai:localhost:1/40651Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-05-06T18:17:07Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual Influence of geographic gradients in the estimate of carbon stock a seasonal semidecidal forest |
title |
Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual |
spellingShingle |
Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual Vilas Bôas, Hortênsia Análise de componentes principais Fitossociologia Modelagem Principal component analysis Phytosociology Modeling |
title_short |
Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual |
title_full |
Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual |
title_fullStr |
Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual |
title_full_unstemmed |
Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual |
title_sort |
Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual |
author |
Vilas Bôas, Hortênsia |
author_facet |
Vilas Bôas, Hortênsia Miranda, Evandro Nunes Araújo, Laís Almeida Carvalho, Mônica Canaan Páscoa, Kallil José Viana da Gomide, Lucas Rezende |
author_role |
author |
author2 |
Miranda, Evandro Nunes Araújo, Laís Almeida Carvalho, Mônica Canaan Páscoa, Kallil José Viana da Gomide, Lucas Rezende |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Vilas Bôas, Hortênsia Miranda, Evandro Nunes Araújo, Laís Almeida Carvalho, Mônica Canaan Páscoa, Kallil José Viana da Gomide, Lucas Rezende |
dc.subject.por.fl_str_mv |
Análise de componentes principais Fitossociologia Modelagem Principal component analysis Phytosociology Modeling |
topic |
Análise de componentes principais Fitossociologia Modelagem Principal component analysis Phytosociology Modeling |
description |
Given the importance of forest formations in fixation of the CO2 from the atmosphere, it is necessary the knowledge of carbon variation in different ecosystems. Thus, the objective of this study was to characterize a floristic composition and a structure of the tree component, to evaluate a relationship between dendrometric variables of the stands and the gradients for the carbon storage present in the aboveground tree compartment, in addition to developing a linear multiple regression model to explain the carbon storages in a fragment of Seasonal Semideciduous Forest. At the site, 57 plots were allocated measuring the variables CAP (circumference at breast height) and total height of 15 cm above. The gradients evaluated were: longitude, latitude, altitude, and distance of the river for each plot. The carbon storage was estimated by the region's own equation. In addition, the differences between the variables were applied as a Principal component analysis (PCA) to identify the variables of greatest contribution in explaining the carbon storage. The results show a fragment with a high density of individuals (1,580 N / ha) and 160 species. The five species with the highest importance value were: Piptadenia gonoacantha, Senegalia polyphylla, Machaerium stipitatum, Actinostemon verticillatus, and Trichilia casaretti. PCA allowed observing that the gradients are highly correlated with the distribution of carbon storage from the aboveground compartment of the vegetation. On the composition of the carbon storage model the variables selected were: basal area, number of individuals, longitude, and altitude. Longitude and altitude significantly contributed significantly to the improvement of the proposed model. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2020-05-06T18:16:43Z 2020-05-06T18:16:43Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
VILAS BÔAS, H. et al. Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual. Biofix Scientific Journal, Curitiba, v. 4, n. 2, p. 137-145, 2019. http://repositorio.ufla.br/jspui/handle/1/40651 |
identifier_str_mv |
VILAS BÔAS, H. et al. Influência de gradientes geográficos na estimativa do estoque de carbono em floresta estacional semidecidual. Biofix Scientific Journal, Curitiba, v. 4, n. 2, p. 137-145, 2019. |
url |
http://repositorio.ufla.br/jspui/handle/1/40651 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Paraná |
publisher.none.fl_str_mv |
Universidade Federal do Paraná |
dc.source.none.fl_str_mv |
Biofix Scientific Journal reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1807835108884873216 |