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Dataset . 2020
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A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in Western Germany

Authors: Reichenau, Tim G.; Korres, Wolfgang; Schmidt, Marius; Graf, Alexander; Welp, Gerd; Meyer, Nele; Stadler, Anja; +2 Authors

A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in Western Germany

Abstract

A collection of field data from four agricultural sites in the Rur catchment in Western Germany collected in the frame of the Transregional Collaborative Research Centre 32 “Patterns in Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling and Data Assimilation” (TR32). The dataset includes data on vegetation (states and fluxes), weather, soil, and agricultural management. Vegetation-related data comprises fresh and dry biomass (green and brown, predominantly per organ), plant height, green and brown leaf area index, phenological development state, nitrogen and carbon content, and carbon-, energy- and water-fluxes for a variety of agricultural plants. In addition, masses of harvest residues and regrowth of vegetation after harvest or before planting of the main crop are included. Data on agricultural management includes sowing and harvest dates, and information on cultivation, fertilization and agrochemicals. The dataset also includes gap-filled weather data and soil parameters (particle size distributions, carbon and nitrogen contents). This data can be useful for development and validation of remote sensing products. A detailed description of the dataset can be found in Reichenau et al. (2020).

Keywords

Land Management, Nitrogen, Precipitation, Stem, Latent Heat Flux, CO2 Flux, Rapeseed, Soil, Harvest Residues, Spelt, Canopy Photosynthesis, Pressure, Winter Barley, Winter Wheat, Biomass, NEE, Vegetation, Radiation, Evapotranspiration, Atmosphere, Sensible Heat Flux, Temperature, Agriculture, Humidity, Soil Texture, Carbon, LAI, Surface Fluxes, Maize, Leaf, Root, Phenology, Fruit, Sugar Beet, Wind Velocity, Crop/s, Eddy Covariance, environment

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average