[1861] - A dataset of crop growth, gas fluxes measurement from leaf to canopy as well as weather and agronomic management information from the rhizotrone facility in Selhausen from 2015-2017

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Citation
Nguyen, H. T., Langensiepen, M., Ewert, F., 2020. A dataset of crop growth, gas fluxes measurement from leaf to canopy as well as weather and agronomic management information from the rhizotrone facility in Selhausen from 2015-2017. CRC/TR32 Database (TR32DB). Accessed from https://www.tr32db.uni-koeln.de/data.php?dataID=1861 at 2020-06-01.
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Identification
Title(s):Main Title: A dataset of crop growth, gas fluxes measurement from leaf to canopy as well as weather and agronomic management information from the rhizotrone facility in Selhausen from 2015-2017
Description(s):Abstract: A collection of field data which was carried out above-ground rhizotrone facility in the Selhausen (5 km from Juelich Research Center) that was under framework of Transregional Collaborative Research Centre 32 “ Patterns in Soil-Vegetation-Atmosphere-Systems: Mornitoring, Modelling and Data Assimilation” (TR32). The data includes weather data (2015-2016) which contains relative humidity, VPD, global radiation, wind speed, and rainfall which were collected and gap-filled from TERENO weather stations nearby the rhizotrone facilities. Crop growth data includes plant phenology, plant density, above –ground biomass, yield, LAI, crop height, CN data for separate organs (2015-2016-2017). Crop management contains sowing date, weed treatments, fertilization, water and sheltered applications (2015-2016-2017). Gas flux data includes leaf water potential, leaf stomatal conductance; canopy gas fluxes (2015-2016-2017), and soil flux (2017). This data can be useful to understand the crop growth responses and gas flux patterns under different soil types and water regimes as well as can be used for calibration and validation the coupled root: shoot model from soil to plant and atmosphere. A detail description of dataset was in the paper Nguyen et al (), DOI:
Responsible Party
Creator(s):Originator: Huu Thuy Nguyen
Originator: Matthias Langensiepen
Originator: Frank Ewert
Contributor(s):Other: TERENO - Terrestrial Environmental Observatories, Forschungszentrum Jülich GmbH
Funding Reference(s):Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation
Publisher:CRC/TR32 Database (TR32DB)
Topic
TR32 Topic:Vegetation
Related Sub-project(s):B5, B4, B6
Subject(s):CRC/TR32 Keywords: Atmosphere, Vegetation, Soil, Agriculture, Biomass, Root, Leaf, Stem, Fruit, Phenology, Canopy, Photosynthesis, LAI, CO2 Flux, Evapotranspiration, Nitrogen, Carbon, Precipitation, Radiation, Temperature, Wind Velocity, Pressure, Humidity, Soil Texture, Crop/s, Winter Barley, Maize, Stomatal Conductance, Leaf Water, Field Scale, Plant Growth, soil Heterogeneity, Soil Respiration, Soil-Plant Interaction
File Details
File Name:2015_2016_2017_B5_Thuy_PhD_Rhizotrone.7z
Data Type:Dataset
File Size:27617 kB (26.97 MB)
Date(s):Available: 2020-03-02
Mime Type:application/x-7z-compressed
Data Format:ZIP
Language:English
Status:Completed
Constraints
Download Permission:OnlyOwnSubproject
Download Information:Can be shared with other subprojects upon on request
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:Creative Commons Attribution 4.0 International (CC BY 4.0)
Geographic
North:50.86
East:6.43
South:50.86
West:6.43
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Data
Temporal Extent:2015/04/01 - 2017/09/30
1. Instrument:CN Analyzer [Euro Elemental Analyzer]
2. Instrument:Portable Leaf Area Meter [SunScan Canopy Analysis System]
3. Instrument:Portable Photosynthesis System [Li-6400]
4. Instrument:Digital pressure chamber [SKPM 140/ (40-50-80)]
5. Instrument:Leaf area meter [LI-3100C]
Metadata Details
Metadata Creator:Thuy Huu Nguyen
Metadata Created:2020-03-02
Metadata Last Updated:2020-03-02
Subproject:B5
Funding Phase:3
Metadata Language:English
Metadata Version:V43
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