Applicability of a novel robotic chamber system to study the spatio-temporal dynamics of agricultural CO2 exchanges

Current approaches to measure and quantify CO2 flux dynamics of agricultural landscapes e.g., eddy covariance, manual and automatic chamber systems have limitations in either accounting for small scale spatial heterogeneity (eddy covariance and automatic chambers) or short-term temporal variability (manual chambers). Although automatic chambers are in principle capable to detect small-scale spatial differences of CO2 flux dynamics in a sufficient temporal resolution, they are usually limited to only a few spatial repetitions. To overcome these limitations, a novel robotic chamber system for CO2 gas exchange measurements was developed which is capable to detect short term temporal dynamics and small scale spatial heterogeneity. This datasets contains data of weather conditions, measured CO2 flux(Net Ecosystem Exchange - NEE and ecosystem respiration - Reco) and modelled CO2 exchange obtained from the measurements that were conducted from 08/07/2019 to 9/09/2019 for spring barley within the hummocky ground moraine landscape of northeastern Germany (CarboZALF-D). The soil and erosion stages of the study area are classified as Calcaric Regosol (RZ; extremely eroded), Nudiargic Luvisol (eLL; strongly eroded) and Calcic Luvisol (LL; non-eroded).