Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots

Detalhes bibliográficos
Autor(a) principal: Siqueira, J.M.
Data de Publicação: 2020
Outros Autores: Ferreira, Maria Isabel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/22017
Resumo: The present study aims at developing a specific algorithm to automatize the calibrated average-gradient (CAG) heat pulse method and estimating low and reverse sap flow in roots, termed as CAGALG. The innovative algorithm is based on an automatic data processing to make easier the complexity in interpreting data from sap flow sensors, without losing the reliability on low and even reverse sap flows quantification. The CAGALG algorithm resorts to two mathematical tools to indicate reverse sap flow occurrence and clustering the roots per reverse sap flow patterns. Results showed a good correlation between the average temperature gradient (ΔTavg) and the corrected heat pulse velocity (VC) that was confirmed by the simulation study. The simulation provided a model aiming to estimate the thermal diffusivity, which has been shown to be below the default values usually attributed. Quantitative and temporal reverse sap flow occurrences were identified along the two years in which presented the results from the CAGALG in accordance with the traditional CAG
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spelling Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in rootsreverse sap flowcompensated heat pulse methodcalibrated average gradientplant transpirationsap flow data processingThe present study aims at developing a specific algorithm to automatize the calibrated average-gradient (CAG) heat pulse method and estimating low and reverse sap flow in roots, termed as CAGALG. The innovative algorithm is based on an automatic data processing to make easier the complexity in interpreting data from sap flow sensors, without losing the reliability on low and even reverse sap flows quantification. The CAGALG algorithm resorts to two mathematical tools to indicate reverse sap flow occurrence and clustering the roots per reverse sap flow patterns. Results showed a good correlation between the average temperature gradient (ΔTavg) and the corrected heat pulse velocity (VC) that was confirmed by the simulation study. The simulation provided a model aiming to estimate the thermal diffusivity, which has been shown to be below the default values usually attributed. Quantitative and temporal reverse sap flow occurrences were identified along the two years in which presented the results from the CAGALG in accordance with the traditional CAGElsevierRepositório da Universidade de LisboaSiqueira, J.M.Ferreira, Maria Isabel2021-09-27T10:06:08Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/22017engAgricultural and Forest Meteorology 294 (2020) 108129https://doi.org/10.1016/j.agrformet.2020.108129info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-20T19:05:47Zoai:repositorio.ul.pt:10400.5/22017Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-20T19:05:47Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots
title Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots
spellingShingle Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots
Siqueira, J.M.
reverse sap flow
compensated heat pulse method
calibrated average gradient
plant transpiration
sap flow data processing
title_short Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots
title_full Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots
title_fullStr Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots
title_full_unstemmed Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots
title_sort Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots
author Siqueira, J.M.
author_facet Siqueira, J.M.
Ferreira, Maria Isabel
author_role author
author2 Ferreira, Maria Isabel
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Siqueira, J.M.
Ferreira, Maria Isabel
dc.subject.por.fl_str_mv reverse sap flow
compensated heat pulse method
calibrated average gradient
plant transpiration
sap flow data processing
topic reverse sap flow
compensated heat pulse method
calibrated average gradient
plant transpiration
sap flow data processing
description The present study aims at developing a specific algorithm to automatize the calibrated average-gradient (CAG) heat pulse method and estimating low and reverse sap flow in roots, termed as CAGALG. The innovative algorithm is based on an automatic data processing to make easier the complexity in interpreting data from sap flow sensors, without losing the reliability on low and even reverse sap flows quantification. The CAGALG algorithm resorts to two mathematical tools to indicate reverse sap flow occurrence and clustering the roots per reverse sap flow patterns. Results showed a good correlation between the average temperature gradient (ΔTavg) and the corrected heat pulse velocity (VC) that was confirmed by the simulation study. The simulation provided a model aiming to estimate the thermal diffusivity, which has been shown to be below the default values usually attributed. Quantitative and temporal reverse sap flow occurrences were identified along the two years in which presented the results from the CAGALG in accordance with the traditional CAG
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-09-27T10:06:08Z
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 http://hdl.handle.net/10400.5/22017
url http://hdl.handle.net/10400.5/22017
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Agricultural and Forest Meteorology 294 (2020) 108129
https://doi.org/10.1016/j.agrformet.2020.108129
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
_version_ 1817549449581297664

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