Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis

Ecosystems are responsible for strong feedback processes that affect climate. The mechanisms and consequences of this feedback are uncertain and must be studied to evaluate their influence on global climate change. The main objective of this study is to assess the gross primary production (GPP) dyna...

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Autores: Cicuéndez López-Ocaña, Víctor Manuel, Litago, Javier, Sánchez Girón, Víctor, Román Cascón, Carlos, Recuero, Laura, Saénz, César, Yagüe Anguis, Carlos, Palacios Orueta, Alicia
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/129811
Acceso en línea:https://hdl.handle.net/20.500.14352/129811
Access Level:acceso abierto
Palabra clave:551.51
63
Gross primary production
Surface energy fluxes
Granger causality
Flux tower
Autocorrelation function
Atmosphere-vegetation feedback
Vegetation dynamics
Meteorología (Física)
2509 Meteorología
3103 Agronomía
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oai_identifier_str oai:docta.ucm.es:20.500.14352/129811
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spelling Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysisCicuéndez López-Ocaña, Víctor ManuelLitago, JavierSánchez Girón, VíctorRomán Cascón, CarlosRecuero, LauraSaénz, CésarYagüe Anguis, CarlosPalacios Orueta, Alicia551.5163Gross primary productionSurface energy fluxesGranger causalityFlux towerAutocorrelation functionAtmosphere-vegetation feedbackVegetation dynamicsMeteorología (Física)2509 Meteorología3103 AgronomíaEcosystems are responsible for strong feedback processes that affect climate. The mechanisms and consequences of this feedback are uncertain and must be studied to evaluate their influence on global climate change. The main objective of this study is to assess the gross primary production (GPP) dynamics and the energy partitioning patterns in three different European forest ecosystems through time series analysis. The forest types are an Evergreen Needleleaf Forest in Finland (ENF_FI), a Deciduous Broadleaf Forest in Denmark (DBF_DK), and a Mediterranean Savanna Forest in Spain (SAV_SP). Buys-Ballot tables were used to study the intra-annual variability of meteorological data, energy fluxes, and GPP, whereas the autocorrelation function was used to assess the inter-annual dynamics. Finally, the causality of GPP and energy fluxes was studied with Granger causality tests. The autocorrelation function of the GPP, meteorological variables, and energy fluxes revealed that the Mediterranean ecosystem is more irregular and shows lower memory in the long term than in the short term. On the other hand, the Granger causality tests showed that the vegetation feedback to the atmosphere was more noticeable in the ENF_FI and the DBF_DK in the short term, influencing latent and sensible heat fluxes. In conclusion, the impact of the vegetation on the atmosphere influences the energy partitioning in a different way depending on the vegetation type, which makes the study of the vegetation dynamics essential at the local scale to parameterize these processes with more detail and build improved global modelsFrontiers MediaUniversidad Complutense de Madrid20232023-03-2020232023-03-20journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/129811reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)InglésengMinisterio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 Not available AGL2010-17505 CARTOGRAFIA DINAMICA DE SUELO DESNUDO Y DE RESIDUOS DE COSECHA EN REGIONES AGRICOLAS MEDITERRANEAS MEDIANTE SERIES DE TIEMPO DE TELEDETECCIONAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-115509RB-I00 SISTEMA DE INFORMACION PARA EL SEGUIMIENTO DEL CAMBIO GLOBAL Y SUS IMPACTOS: MODELIZACION DE LAS DINAMICAS DE LA CUBIERTA DEL SUELO MEDIANTE INDICADORES DE ALTO VALOR AÑADIDOAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-115321RB-I00 INTERACCIONES SUPERFICIE-ATMOSFERA EN UN MEDIO CAMBIANTE: ¿COMO IMPACTAN EN PROCESOS DE CAPA LIMITE ATMOSFERICA A ESCALAS MESO, SUBMESO Y LOCAL EN AREAS MONTAÑOSAS Y COSTERAS?open accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1298112026-06-02T12:44:21Z
dc.title.none.fl_str_mv Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis
title Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis
spellingShingle Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis
Cicuéndez López-Ocaña, Víctor Manuel
551.51
63
Gross primary production
Surface energy fluxes
Granger causality
Flux tower
Autocorrelation function
Atmosphere-vegetation feedback
Vegetation dynamics
Meteorología (Física)
2509 Meteorología
3103 Agronomía
title_short Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis
title_full Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis
title_fullStr Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis
title_full_unstemmed Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis
title_sort Dynamic relationships between gross primary production and energy partitioning in three different ecosystems based on eddy covariance time series analysis
dc.creator.none.fl_str_mv Cicuéndez López-Ocaña, Víctor Manuel
Litago, Javier
Sánchez Girón, Víctor
Román Cascón, Carlos
Recuero, Laura
Saénz, César
Yagüe Anguis, Carlos
Palacios Orueta, Alicia
author Cicuéndez López-Ocaña, Víctor Manuel
author_facet Cicuéndez López-Ocaña, Víctor Manuel
Litago, Javier
Sánchez Girón, Víctor
Román Cascón, Carlos
Recuero, Laura
Saénz, César
Yagüe Anguis, Carlos
Palacios Orueta, Alicia
author_role author
author2 Litago, Javier
Sánchez Girón, Víctor
Román Cascón, Carlos
Recuero, Laura
Saénz, César
Yagüe Anguis, Carlos
Palacios Orueta, Alicia
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 551.51
63
Gross primary production
Surface energy fluxes
Granger causality
Flux tower
Autocorrelation function
Atmosphere-vegetation feedback
Vegetation dynamics
Meteorología (Física)
2509 Meteorología
3103 Agronomía
topic 551.51
63
Gross primary production
Surface energy fluxes
Granger causality
Flux tower
Autocorrelation function
Atmosphere-vegetation feedback
Vegetation dynamics
Meteorología (Física)
2509 Meteorología
3103 Agronomía
description Ecosystems are responsible for strong feedback processes that affect climate. The mechanisms and consequences of this feedback are uncertain and must be studied to evaluate their influence on global climate change. The main objective of this study is to assess the gross primary production (GPP) dynamics and the energy partitioning patterns in three different European forest ecosystems through time series analysis. The forest types are an Evergreen Needleleaf Forest in Finland (ENF_FI), a Deciduous Broadleaf Forest in Denmark (DBF_DK), and a Mediterranean Savanna Forest in Spain (SAV_SP). Buys-Ballot tables were used to study the intra-annual variability of meteorological data, energy fluxes, and GPP, whereas the autocorrelation function was used to assess the inter-annual dynamics. Finally, the causality of GPP and energy fluxes was studied with Granger causality tests. The autocorrelation function of the GPP, meteorological variables, and energy fluxes revealed that the Mediterranean ecosystem is more irregular and shows lower memory in the long term than in the short term. On the other hand, the Granger causality tests showed that the vegetation feedback to the atmosphere was more noticeable in the ENF_FI and the DBF_DK in the short term, influencing latent and sensible heat fluxes. In conclusion, the impact of the vegetation on the atmosphere influences the energy partitioning in a different way depending on the vegetation type, which makes the study of the vegetation dynamics essential at the local scale to parameterize these processes with more detail and build improved global models
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-03-20
2023
2023-03-20
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/129811
url https://hdl.handle.net/20.500.14352/129811
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 Not available AGL2010-17505 CARTOGRAFIA DINAMICA DE SUELO DESNUDO Y DE RESIDUOS DE COSECHA EN REGIONES AGRICOLAS MEDITERRANEAS MEDIANTE SERIES DE TIEMPO DE TELEDETECCION
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-115509RB-I00 SISTEMA DE INFORMACION PARA EL SEGUIMIENTO DEL CAMBIO GLOBAL Y SUS IMPACTOS: MODELIZACION DE LAS DINAMICAS DE LA CUBIERTA DEL SUELO MEDIANTE INDICADORES DE ALTO VALOR AÑADIDO
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-115321RB-I00 INTERACCIONES SUPERFICIE-ATMOSFERA EN UN MEDIO CAMBIANTE: ¿COMO IMPACTAN EN PROCESOS DE CAPA LIMITE ATMOSFERICA A ESCALAS MESO, SUBMESO Y LOCAL EN AREAS MONTAÑOSAS Y COSTERAS?
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
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 Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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