ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSION

Detalhes bibliográficos
Autor(a) principal: Valentini, Carla Maria Abido
Data de Publicação: 2015
Outros Autores: Espinosa, Mariano Martínez, Paulo, Sérgio Roberto de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/641
Resumo: Many research groups have being studying the contribution of tropical forests to the global carbon cycle, and the climatic consequences of substituting the forests for pastures. Considering that soil CO2 efflux is the greater component of the carbon cycle of the biosphere, this work found an equation for estimating the soil CO2 efflux of an area of the Transition Forest, using a model of multiple regression for time series data of temperature and soil moisture. The study was carried out in the northwest of Mato Grosso, Brazil (11°24.75’S; 55°19.50’W), in a transition forest between cerrado and AmazonForest, 50 km far from Sinop county. Each month, throughout one year, it was measured soil CO2 efflux, temperature and soil moisture. The annual average of soil CO2 efflux was 7.5 ± 0.6 (mean ± SE) ì mol m-2 s-1, the annual mean soil temperature was 25,06 ± 0.12 (mean ± SE) ºC. The study indicated that the humidity had high influence on soil CO2 efflux; however the results were more significant using a multiple regression model that estimated the logarithm of soil CO2 efflux, considering time, soil moisture and the interaction between time duration and the inverse of soil temperature.
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spelling ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSIONCarbontemperaturehumiditytransition tropical forestmodelingMany research groups have being studying the contribution of tropical forests to the global carbon cycle, and the climatic consequences of substituting the forests for pastures. Considering that soil CO2 efflux is the greater component of the carbon cycle of the biosphere, this work found an equation for estimating the soil CO2 efflux of an area of the Transition Forest, using a model of multiple regression for time series data of temperature and soil moisture. The study was carried out in the northwest of Mato Grosso, Brazil (11°24.75’S; 55°19.50’W), in a transition forest between cerrado and AmazonForest, 50 km far from Sinop county. Each month, throughout one year, it was measured soil CO2 efflux, temperature and soil moisture. The annual average of soil CO2 efflux was 7.5 ± 0.6 (mean ± SE) ì mol m-2 s-1, the annual mean soil temperature was 25,06 ± 0.12 (mean ± SE) ºC. The study indicated that the humidity had high influence on soil CO2 efflux; however the results were more significant using a multiple regression model that estimated the logarithm of soil CO2 efflux, considering time, soil moisture and the interaction between time duration and the inverse of soil temperature.CERNECERNE2015-10-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/641CERNE; Vol. 14 No. 1 (2008); 009-016CERNE; v. 14 n. 1 (2008); 009-0162317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/641/541Copyright (c) 2015 CERNEinfo:eu-repo/semantics/openAccessValentini, Carla Maria AbidoEspinosa, Mariano MartínezPaulo, Sérgio Roberto de2015-10-29T16:06:39Zoai:cerne.ufla.br:article/641Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:02.392639Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSION
title ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSION
spellingShingle ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSION
Valentini, Carla Maria Abido
Carbon
temperature
humidity
transition tropical forest
modeling
title_short ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSION
title_full ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSION
title_fullStr ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSION
title_full_unstemmed ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSION
title_sort ESTIMATE OF CO2 EFFLUX OF SOIL, OF A TRANSITION FOREST IN NORTHWEST OF MATO GROSSO STATE, USING MULTIPLE REGRESSION
author Valentini, Carla Maria Abido
author_facet Valentini, Carla Maria Abido
Espinosa, Mariano Martínez
Paulo, Sérgio Roberto de
author_role author
author2 Espinosa, Mariano Martínez
Paulo, Sérgio Roberto de
author2_role author
author
dc.contributor.author.fl_str_mv Valentini, Carla Maria Abido
Espinosa, Mariano Martínez
Paulo, Sérgio Roberto de
dc.subject.por.fl_str_mv Carbon
temperature
humidity
transition tropical forest
modeling
topic Carbon
temperature
humidity
transition tropical forest
modeling
description Many research groups have being studying the contribution of tropical forests to the global carbon cycle, and the climatic consequences of substituting the forests for pastures. Considering that soil CO2 efflux is the greater component of the carbon cycle of the biosphere, this work found an equation for estimating the soil CO2 efflux of an area of the Transition Forest, using a model of multiple regression for time series data of temperature and soil moisture. The study was carried out in the northwest of Mato Grosso, Brazil (11°24.75’S; 55°19.50’W), in a transition forest between cerrado and AmazonForest, 50 km far from Sinop county. Each month, throughout one year, it was measured soil CO2 efflux, temperature and soil moisture. The annual average of soil CO2 efflux was 7.5 ± 0.6 (mean ± SE) ì mol m-2 s-1, the annual mean soil temperature was 25,06 ± 0.12 (mean ± SE) ºC. The study indicated that the humidity had high influence on soil CO2 efflux; however the results were more significant using a multiple regression model that estimated the logarithm of soil CO2 efflux, considering time, soil moisture and the interaction between time duration and the inverse of soil temperature.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/641
url https://cerne.ufla.br/site/index.php/CERNE/article/view/641
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/641/541
dc.rights.driver.fl_str_mv Copyright (c) 2015 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 14 No. 1 (2008); 009-016
CERNE; v. 14 n. 1 (2008); 009-016
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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