Descripción
This dataset consists of the estimated data of the CO2 flux partition: assimilation or gross primary production (GPP) and heterotrophic or ecosystem respiration (Reco), as well as the standard deviation of each estimate. These data have been estimated from the data provided by the ICTS of the Doñana Biological Reserve of the eddy covariance tower located in Fuente Duque, in the Hinojos marsh in the period between October 2020 and December 2022.
The eddy covariance system is installed in a marsh ecosystem with intermittent periods of flooding. The main vegetation cover is grasses, predominantly Bolboschoenus maritimus.
Versiones
La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.
¿Cómo referenciar?
Los usuarios deben citar este trabajo de la siguiente manera:
Gómez-Giráldez P, Díaz-Delgado R (2023). CO2 Flux partioning in a Eddy Covariance tower of marsh ecosystem (Fuente Duque) in Doñana Biological Reserve. Version 1.0. No organization. Metadata dataset. https://ipt-demo.gbif.es/resource?r=co2_flux_partioning_ec_fuente_duque&v=1.0
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento-NoComercial (CC-BY-NC 4.0).
Registro GBIF
Este recurso no ha sido registrado en GBIF
Palabras clave
Eddy covariance; CO2 flux; water flux; Doñana marshes;
Contactos
- Originador
- Postdoc researcher
- Estación Biológica de Doñana-CSIC. Avda Américo Vespucio 26.
- +34 954232340
- Proveedor De Los Metadatos ●
- Autor ●
- Punto De Contacto
- Tenured scientist
- Estación Biológica de Doñana-CSIC. Avda Américo Vespucio 26.
- +34954232340
https://orcid.org/0000-0002-0460-4616
Cobertura geográfica
This is the position of the eddy covariance tower. The area covered will depend on the speed and direction of the wind, but it covers approximately 100 m radius from the tower.
| Coordenadas límite | Latitud Mínima Longitud Mínima [36,999, -6,435], Latitud Máxima Longitud Máxima [36,999, -6,435] |
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Cobertura temporal
| Fecha Inicial / Fecha Final | 2020-09-30 / 2022-12-31 |
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Datos del proyecto
The SUMHAL Project, Sustainability for Mediterranean Hotspost integrating LifeWatch ERIC, is part of the ERDF program of actions related to the pan-European distributed infrastructure of e-Science LifeWatch ERIC, with Headquarters in Andalusia-Spain. SUMHAL fundamental objective: Conservation of biodiversity in natural or semi-natural systems of the western Mediterranean, based on high-tech infrastructures, and the association between highly specialized research personnel and citizens. The subtask WP6.2 (Monitoring program at LTSER platform) objetctive is the systematic acquisition and automatic processing of water (evapotranspiration) and carbon (fixation) fluxes by the vegetation, wetlands and soils of Doñana using flux towers (Eddy-Covariance technique). Use of these data obtained in the field for the validation of products derived from remote sensing images (satellite, airborne and from drone).
| Título | SUMHAL: Sustainability for Mediterranean Hotspots in Andalusia integrating LifeWatch ERIC (SUMHAL) - WP6 "Developing protocols and indicator for multiscale land condition monitoring and assessment", "Monitoring program at LTSER platform" |
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| Identificador | LWE2103021 |
| Fuentes de Financiación | MICINN through European Regional Development Fund [SUMHAL, LIFEWATCH-2019-09-CSIC-4, POPE 2014-2020] |
| Descripción del área de estudio | Temporary marshes of Doñana protected area |
Métodos de muestreo
The ICTS-RBD provided the five-minute data of the 4 components of solar radiation (incident and reflected long and short wave) as well as the high-frequency data of the eddy covariance system (sonic temperature and concentration of water and CO2 at 10 hz). These data were processed to obtain the semi-hourly fluxes that were finally used for the estimation. A filter based on the friction velocity (U*) was applied by the Moving Point Test according to Papale et al. 2006 and finally the partition algorithm of Lasslop et al. 2010. The gap filling of the eddy covariance and meteorological data were performed with methods similar to Falge et al. (2001) but also considering the co-variation of fluxes with meteorological variables and the temporal auto-correlation of the fluxes (Reichstein et al. 2005).
| Área de Estudio | Half-hourly data of gross primary production and ecosystem respiration between October 2020 and December 2022 estimated from a flux tower in a marsh ecosystem. |
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| Control de Calidad | Quality assessment is applied during the processing chain removing spikes and noise. |
Descripción de la metodología paso a paso:
- High frequency data processing was performed with the EddyPro program (LI-COR Inc). U* filtering, gap filling and flow partitioning were performed with the REddyProc R-package (Wutzler et al. 2018).
Referencias bibliográficas
- Wutzler T, Lucas-Moffat A, Migliavacca M, Knauer J, Sickel K, Sigut, Menzer O & Reichstein M (2018) Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences, Copernicus, 15
- Papale D, Reichstein M, Aubinet M, Canfora E, Bernhofer C, Kutsch W, Longdoz B, Rambal S, Valentini R, Vesala T & et al. (2006) Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences, Copernicus GmbH, 3, 571 - 583
- Reichstein M, Falge E, Baldocchi D et al. (2005) On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biology, 11, 1424-1439.
- Lasslop G, Reichstein M, Papale D, Richardson A, Arneth A, Barr A, Stoy P & Wohlfahrt G (2010) Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation. Global Change Biology, Wiley Online Library, 16, 187-208
- Falge, E, Baldocchi, D, Olson, R et al. (2001) Gap filling strategies for defensible annual sums of net ecosystem exchange. Agricultural and Forest Meteorology, 107, 43–69.
- P.J. Gómez-Giráldez, J. Cristóbal, D. García, R. Díaz-Delgado. 2013. Estimación de la producción primaria bruta de castañuela (Bolboschoenus maritimus) mediante imágenes Sentinel-2 en un ecosistema de marisma del Parque Nacional de Doñana. In Actas de la 5a Reunión Ibérica de Pastos y Forrajes Huelva-Loulé, 17 -20 de abril de 2023.
Metadatos adicionales
| Identificadores alternativos | https://ipt-demo.gbif.es/resource?r=co2_flux_partioning_ec_fuente_duque |
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