Individual and interactive effects of warming and nitrogen supply on CO2 fluxes and carbon allocation in subarctic grassland
Creators
- 1. Department of Ecology, University of Innsbruck, Innsbruck, Austria
- 2. Research Group Plants and Ecosystems, University of Antwerp, Antwerp, Belgium
- 3. Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
- 4. Agricultural University of Iceland, Hvanneyri, Borgarnes, Iceland
- 5. Soil and Crop Sciences Department, Colorado State University, Fort Collins, Colorado, USA
Description
We provide data (Data_all.xlsx) and the code for ecosystem productivity, soil respiration, carbon allocation in the shoot, root, soil, and microbes, and nitrogen and carbon availability in plant, soil, and microbes data. The measurements were made under soil warming gradient and under N fertilization treatment during the summer of 2018.
The sheet '13C_allocation' contains data on excess 13C in the plant, soil, and soil respiration for days 1,3,6, and 10 days after 13CO2 pulse labeling.
The sheet 'primary productivity' contains data on ecosystem fluxes (Gross primary productivity; Net ecosystem productivity and Dark respiration).
The sheet 'SR' contains data of soil respiration.
The sheet 'dynamics.' contains data of continuous measurements of soil respired CO2 (SR), 13CO2 (SR13C), soil water content(SWC), soil temperature (ST), and photosynthetic active radiation (PAR) and air temperature (Tair).
The sheet 'Soil_N' consists of dissolved organic N (TdN), NH4, and NO3 measured in soil. The sheet plant_N consists of N in plants. The microbial biomass carbon (MBC) and nitrogen (MBN) are provided in the sheet 'Microbial_Biomass'
The R file 'Script. R' explains and plots the data. In addition, this R file also provides the script for time series regression analysis between response variables (soil-respired CO2 and soil-respired 13CO2) and environmental drivers (soil water content, soil temperature, and PAR), and provides the script for structural equation modeling (SEM) and linear mixed effects model and statistics.
Files
Files
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