Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystem

Este artículo está sujeto a una licencia CC BY 4.0

Detalles Bibliográficos
Autores: Pacheco-Labrador, Javier, El-Madany, Tarek S., Martín, M. Pilar, Migliavacca, Mirco, Rossini, Micol, Carrara, Arnaud, Zarco-Tejada, Pablo J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/207863
Acceso en línea:http://hdl.handle.net/10261/207863
Access Level:acceso abierto
Palabra clave:Gross Primary Production (GPP)
Remote Sensing (RS)
Footprint
Mismatch
Light use efficiency
FPAR
PRI
Semi-empirical GPP model
MODIS GPP
id ES_2bc2a64042357e4f0d45a3e7e06ff6df
oai_identifier_str oai:digital.csic.es:10261/207863
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystem
title Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystem
spellingShingle Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystem
Pacheco-Labrador, Javier
Gross Primary Production (GPP)
Remote Sensing (RS)
Footprint
Mismatch
Light use efficiency
FPAR
PRI
Semi-empirical GPP model
MODIS GPP
title_short Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystem
title_full Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystem
title_fullStr Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystem
title_full_unstemmed Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystem
title_sort Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystem
dc.creator.none.fl_str_mv Pacheco-Labrador, Javier
El-Madany, Tarek S.
Martín, M. Pilar
Migliavacca, Mirco
Rossini, Micol
Carrara, Arnaud
Zarco-Tejada, Pablo J.
author Pacheco-Labrador, Javier
author_facet Pacheco-Labrador, Javier
El-Madany, Tarek S.
Martín, M. Pilar
Migliavacca, Mirco
Rossini, Micol
Carrara, Arnaud
Zarco-Tejada, Pablo J.
author_role author
author2 El-Madany, Tarek S.
Martín, M. Pilar
Migliavacca, Mirco
Rossini, Micol
Carrara, Arnaud
Zarco-Tejada, Pablo J.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Ministerio de Ciencia e Innovación (España)
Federal Ministry of Economics and Technology (Germany)
Pacheco-Labrador, Javier [0000-0003-3401-7081]
Carrara, Arnaud [0000-0002-9095-8807]
Martín, M. Pilar [0000-0002-5563-8461]
Zarco-Tejada, Pablo J. [0000-0003-1433-6165]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Gross Primary Production (GPP)
Remote Sensing (RS)
Footprint
Mismatch
Light use efficiency
FPAR
PRI
Semi-empirical GPP model
MODIS GPP
topic Gross Primary Production (GPP)
Remote Sensing (RS)
Footprint
Mismatch
Light use efficiency
FPAR
PRI
Semi-empirical GPP model
MODIS GPP
description Este artículo está sujeto a una licencia CC BY 4.0
publishDate 2017
dc.date.none.fl_str_mv 2017
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/207863
url http://hdl.handle.net/10261/207863
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
CGL2012-34383
CGL2008-02301/CL
AYA2011-29334-C02-01
http://dx.doi.org/10.3390/rs9060608
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405178660126720
spelling Spatio-temporal relationships between optical information and carbon fluxes in a mediterranean tree-grass ecosystemPacheco-Labrador, JavierEl-Madany, Tarek S.Martín, M. PilarMigliavacca, MircoRossini, MicolCarrara, ArnaudZarco-Tejada, Pablo J.Gross Primary Production (GPP)Remote Sensing (RS)FootprintMismatchLight use efficiencyFPARPRISemi-empirical GPP modelMODIS GPPEste artículo está sujeto a una licencia CC BY 4.0Spatio-temporal mismatches between Remote Sensing (RS) and Eddy Covariance (EC) data as well as spatial heterogeneity jeopardize terrestrial Gross Primary Production (GPP) modeling. This article combines: (a) high spatial resolution hyperspectral imagery; (b) EC footprint climatology estimates; and (c) semi-empirical models of increasing complexity to analyze the impact of these factors on GPP estimation. Analyses are carried out in a Mediterranean Tree-Grass Ecosystem (TGE) that combines vegetation with very different physiologies and structure. Half-hourly GPP (GPP) were predicted with relative errors ~36%. Results suggest that, at EC footprint scale, the ecosystem signals are quite homogeneous, despite tree and grass mixture. Models fit using EC and RS data with high degree of spatial and temporal match did not significantly improved models performance; in fact, errors were explained by meteorological variables instead. In addition, the performance of the different models was quite similar. This suggests that none of the models accurately represented light use efficiency or the fraction of absorbed photosynthetically active radiation. This is partly due to model formulation; however, results also suggest that the mixture of the different vegetation types might contribute to hamper such modeling, and should be accounted for GPP models in TGE and other heterogeneous ecosystems.This research was funded by the following projects: FLUχPEC “Monitoring changes in water and carbon fluxes from remote and proximal sensing in a Mediterranean dehesa ecosystem” (http://www.lineas.cchs.csic.es/fluxpec) (CGL2012-34383, Spanish Ministry of Economy and Competitiveness), DEHESHyrE Transnational Access Project (EUFAR), MaNiP “MAnipulation NItrogen and Phosporous” (https://www.bgc-jena.mpg.de/bgi/index.php/Research/ManipProject) (MPI-BGC and the Alexander Von Humsboldt Foundation through the Markus Reichstein Prize), BIOSPEC “Linking spectral information at different spatial scales with biophysical parameters of Mediterranean vegetation in the context of Global Change” (http://www.lineas.cchs.csic.es/biospec) (CGL2008-02301/CLI, Ministry of Science and Innovation) and CEOS-Spain (http://ceosspain.lpi.uv.es/home/project) (AYA2011-29334-C02-01, Ministry of Economy and Competitiveness); FLUχPEC: “Monitoring changes in water and carbon fluxes from remote and proximal sensing in Mediterranean “dehesa” ecosystem” (http://www.lineas.cchs.csic.es/ fluxpec) (CGL2012-34383, Spanish Ministry of Economy and Competitiveness); and the EnMAP project MoReDEHESHyReS “Modelling Responses of Dehesas with Hyperspectral Remote Sensing” (Contract No. 50EE1621) (https://www.bgc-jena.mpg.de/bgi/index.php/Research/MoReDEHESHyReS) (German Aerospace Center (DLR) and the German Federal Ministry of Economic Affairs and EnergyPeer reviewedMultidisciplinary Digital Publishing InstituteMinisterio de Economía y Competitividad (España)Ministerio de Ciencia e Innovación (España)Federal Ministry of Economics and Technology (Germany)Pacheco-Labrador, Javier [0000-0003-3401-7081]Carrara, Arnaud [0000-0002-9095-8807]Martín, M. Pilar [0000-0002-5563-8461]Zarco-Tejada, Pablo J. [0000-0003-1433-6165]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020172020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/207863reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#CGL2012-34383CGL2008-02301/CLAYA2011-29334-C02-01http://dx.doi.org/10.3390/rs9060608Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2078632026-05-22T06:33:51Z
score 15,81155

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