Compiled database, code and raw data for the article "A Comprehensive Database of Leaf Temperature, Water, and CO2 Fluxes in Young Oil Palm Plants Across Diverse Climate Scenarios for the Evaluation of Functional-Structural Models"

This dataset results from an experiment on young oil palm plants (Elaeis guineensis) in the Ecotron facility from CNRS in Montpellier. Four plants were put in a microcosm one by one with varying climatic conditions to investigate the effect of climate on leaf temperature, CO2, and H2O fluxes at the...

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Hauptverfasser: Vezy, Rémi, Torrelli, Valentin, Arsouze, Thomas, Perez, Raphaël
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creator Vezy, Rémi
Torrelli, Valentin
Arsouze, Thomas
Perez, Raphaël
description This dataset results from an experiment on young oil palm plants (Elaeis guineensis) in the Ecotron facility from CNRS in Montpellier. Four plants were put in a microcosm one by one with varying climatic conditions to investigate the effect of climate on leaf temperature, CO2, and H2O fluxes at the plant scale. The conditions were defined based on typical daily conditions from a location where it is grown (Libo, Indonesia), i.e., a day with no rainfall and near-average air temperature and humidity. This base condition was then modified by adding more CO2 (400, 600 and 800ppm), less radiation (typical cloudy sky), and more or less temperature and vapour pressure deficit (± 30%). Find more details from the README.md file in the repository or from the associated Github repository.
doi_str_mv 10.5281/zenodo.12704283
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identifier DOI: 10.5281/zenodo.12704283
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language eng
recordid cdi_datacite_primary_10_5281_zenodo_12704283
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subjects biophysics
co2
controlled conditions
d reconstruction
ecophysiology
elaeis guineensis
fluxes
fspm
functional-structural
growth chamber
h2o
leaf temperature
lidar
microcosm
modelling
oil palm
plant
title Compiled database, code and raw data for the article "A Comprehensive Database of Leaf Temperature, Water, and CO2 Fluxes in Young Oil Palm Plants Across Diverse Climate Scenarios for the Evaluation of Functional-Structural Models"
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