Frida Keuper, Birgit Wild, Matti Kummu, Christian Beer, Gesche Blume-Werry, Sébastien Fontaine, Konstantin Gavazov, Norman Gentsch, Georg Guggenberger, Gustaf Hugelius, Mika Jalava, Charles Koven, Eveline J. Krab, Peter Kuhry, Sylvain Monteux, Andreas Richter, Tanvir Shahzad, James T. Weedon, Ellen Dorrepaal
The dataset contains output from the PrimeSCale model that combines observation-based data on plant and soil properties to quantify the rhizosphere priming effect (RPE). Data are presented in the form of RPE ratios and RPE-induced soil organic carbon (SOC) losses across the terrestrial northern circumpolar permafrost area.
The data cover current (year 2010) and possible future (year 2100) conditions as well as cumulative (2010 – 2100) values for the entire study area. For the future, the model is run under the representative concentration pathway (RCP) scenarios 4.5 and 8.5, representing medium and high scenarios for anthropogenic emissions of greenhouse gases.
The simulations consider projected changes in active layer thickness (ALT), gross primary production (GPP), vegetation distribution and growing season length based on existing models. The dataset grid cells have a dimension of 5 km × 5 km × 5 cm.
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Citation
Frida Keuper, Birgit Wild, Matti Kummu, Christian Beer, Gesche Blume-Werry, Sébastien Fontaine, Konstantin Gavazov, Norman Gentsch, Georg Guggenberger, Gustaf Hugelius, Mika Jalava, Charles Koven, Eveline J. Krab, Peter Kuhry, Sylvain Monteux, Andreas Richter, Tanvir Shahzad, James T. Weedon, Ellen Dorrepaal (2020) Rhizosphere priming data for the northern circumpolar permafrost area, 2010 – 2100. Dataset version 1. Bolin Centre Database. https://doi.org/10.17043/keuper-wild-2020-rhizosphere-1
References
Keuper K, Wild B, Kummu M, Beer C, Blume-Werry G, Fontaine S, Gavazov K, Gentsch N, Guggenberger G, Hugelius G, Jalava M, Koven C, Krab EJ, Kuhry P, Monteux S, Richter A, Shahzad T, Weedon JT, Dorrepaal E (2020) Carbon loss from northern circumpolar permafrost soils amplified by rhizosphere priming. Nature Geoscience. https://doi.org/10.1038/s41561-020-0607-0
Data description
The core of this dataset consists of three multi band GeoTIFF files with Rhizosphere priming effect (RPE) ratios across the terrestrial northern circumpolar permafrost area, and three similar files with associated uncertainty estimates. The study area includes 33.7 million active grid cubes (561,956 grid cells), with a dimension of 5 km × 5 km × 5 cm. File size (all files together): 51 MB
In addition, the dataset includes a spreadsheet file (xlsx), which contains intermediate output data of the PrimeSCale model in an easily accessible format.
The dataset also includes a pdf with metadata for the model output data, which is the same as presented here:
Model output data
RPEs are summed over soil layers for each grid cell, in files with the following names:
- RPE_ratio.tif
- RPE_induced_SOC_loss_no_CN.tif
- RPE_induced_SOC_loss_with_CN.tif
Associated uncertainty estimates are provided in:
- CV_RPE_ratio.tif
- CV_RPE_induced_SOC_loss_no_CN.tif
- CV_RPE_induced_SOC_loss_with_CN.tif
Spatial metadata
All model output files have the following spatial information:
- class: GeoTIFF
- dimensions: 1823, 1916, 3492868, 3 (nrow, ncol, ncell, nlayers)
- resolution: 5000 m, 5000 m (x, y)
- extent: -4752178, 4827822, -5148690, 3966310 (xmin, xmax, ymin, ymax)
- projection: NSIDC EASE-Grid North (EPSG:3408)
- crs: +proj=laea +lat_0=90 +lon_0=0 +x_0=0 +y_0=0 +a=6371228 +b=6371228 +units=m +no_defs
- 3rd layer:
1: present
2: RCP4.5 for 2100
3: RCP8.5 for 2100
Explanation of file names and file content
RPE_ratio
- unit: -
- Rhizosphere priming ratio
RPE_induced_SOC_loss_no_CN
- unit: 10⁶ g C km⁻² yr⁻¹
- Rhizosphere priming induced soil organic carbon (SOC) loss over a year, without C/N threshold
RPE_induced_SOC_loss_with_CN
- unit: 10⁶ g C km⁻² yr⁻¹
- Rhizosphere priming induced soil organic carbon (SOC) loss over a year, with C/N threshold
CV_*
- coefficient of variation (CV) for each above listed output parameter
Comments
Model code
Matlab code for the PrimeSCale model is available at https://git.bolin.su.se/bolin/keuper-wild-2020.
Referencing
Please cite both the dataset itself and the article by Keuper and Wild et al. (2020) when using this dataset.
Alternative contact persons
- [javascript protected email address], French National Institute for Agriculture, Food, and Environment (INRAE), Department of Environment and Agronomy, France.
- [javascript protected email address], Aalto University, Department of Built Environment, FIN-00076 Aalto, Finland.