10.5281/zenodo.1314194
https://zenodo.org/records/1314194
oai:zenodo.org:1314194
Carrara, Arnaud
Arnaud
Carrara
Centro de Estudios Ambientales del Mediterráneo (CEAM), Valencia, Spain
El-Madany, Tarek Sebastian
Tarek Sebastian
El-Madany
Max Planck Institute for Biogeochemistry, Jena, Germany
Lopez-Jimenez, Ramon
Ramon
Lopez-Jimenez
Centro de Estudios Ambientales del Mediterráneo (CEAM), Valencia, Spain
Hertel, Martin
Martin
Hertel
Max Planck Institute for Biogeochemistry, Jena, Germany
Kolle, Olaf
Olaf
Kolle
Max Planck Institute for Biogeochemistry, Jena, Germany
Knauer, Jürgen
Jürgen
Knauer
Max Planck Institute for Biogeochemistry, Jena, Germany
Perez-Priego, Oscar
Oscar
Perez-Priego
Max Planck Institute for Biogeochemistry, Jena, Germany
Reichstein, Markus
Markus
Reichstein
Max Planck Institute for Biogeochemistry, Jena, Germany
Zaehle, Sönke
Sönke
Zaehle
Max Planck Institute for Biogeochemistry, Jena, Germany
Migliavacca, Mirco
Mirco
Migliavacca
Max Planck Institute for Biogeochemistry, Jena, Germany
Majadas de Tietar: Ecosystem level and understorey carbon, water, and energy fluxes in a Mediterranean tree-grass ecosystem
Zenodo
2018
tree-grass ecosystem, Dehesa, eddy covariance, Carbon fluxes, Water fluxes
2018-07-18
eng
10.5281/zenodo.1314193
https://zenodo.org/communities/manip
1.0
Creative Commons Attribution 4.0 International
This dataset contains a subset of measurements collected at the experimental site Majadas de Tietar. We collected ecosystem level and understorey carbon, water, and energy fluxes in a Mediterranean Savanna using the eddy covariance technique and a series of meteorological sensors for the time period December 2015 - February 2018. The dataset is used for the development of a series of R packages including 'bigleaf' (Knauer et al., 2018).
The experimental site is collected in Majadas de Tietar (Casals et al., 2009) located in western Spain (39°56′25″N 5°46′29″W). The ecosystem is a typical “Iberic Dehesa”, which is characterized by an herbaceous stratum of native pasture and sparse trees, for the majority (~98%) Quercus ilex. The tree density is about 20–25 trees/ha, the fractional cover of trees is about 20%, mean DBH of 46 cm, and a canopy height of about 8 m. (El-Madany et al., 2018). The herbaceous layer is composed of native annual species of the three main functional plant forms (grasses, forbs and legumes), whose fractional cover varies seasonally and is characterized by important inter-annual variations in the seasonal dynamics related to the onset of the dry period.
Fluxes were measured with the eddy covariance technique with two different systems, one at ecosystem scale to characterize the fluxes of the whole ecosystem (15.5 m above ground), and one at 1.65 m above ground in an open space to measure the fluxes of the well-established understory grass layer.
The description of the set-up, equipment and processing used to calculate ecosystem scale fluxes are described in El-Madany et al., (2018), while for the understory tower can be found in Perez-Priego et al., (2017).
The dataset is composed of two files: 'ESLMa_MainTower', which is the ecosystem eddy covariance system, and 'ESLMa_SubCanopy', which is the understory eddy covariance system. The dataset contains half-hourly, processed eddy covariance of the ecosystem and understory tower, as well as the main biometeorological data used in the big-leaf package (net radiation, soil heat fluxes, horizontal wind velocity, atmospheric pressure, precipitation, air temperature). All the processing was conducted with EddyPro software (version 5.2.0, LI-COR Biosciences Inc., Lincoln, NE, USA) and the ustar filtering, gap-filling and partitioning with the R package REddyProc (Wutzler et al., 2018). The variables and the units are described in the Readme.txt file released with the dataset.
References
Casals, P. et al., 2009. Soil CO2 efflux and extractable organic carbon fractions under simulated precipitation events in a Mediterranean Dehesa. Soil Biol. Biochem. 41, 1915–1922. https://doi.org/10.1016/j.soilbio.2009.06.015.
El-Madany, T.S.,et al., 2018. Drivers of spatio-temporal variability of carbon dioxide and energy fluxes in a Mediterranean savanna ecosystem 21. https://doi.org/10.1016/j.agrformet.2018.07.010
Knauer, J., et al., 2018. bigleaf - An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data. PLOS ONE, doi:10.1371/journal.pone.0201114
Perez-Priego O, et al., 2017. Evaluation of eddy covariance latent heat fluxes with independent lysimeter and sapflow estimates in a Mediterranean savannah ecosystem. Agricultural and Forest Meteorology. 236: 87-99. doi: 10.1016/j.agrformet.2017.01.009.
Wutzler, T., et al., 2018. Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences Discuss., p. 1-39.
The authors thanks the von Humbold Stiftung for financial support of the MaNiP project through the Max Planck research prize 2013 to Markus Reichstein
European Commission
10.13039/501100000780
721995
Training on Remote Sensing for Ecosystem modElling