Published April 5, 2022 | Version v1
Dataset Open

Realistic soil carbon sequestration considering food security and climate change

  • 1. Agroscope
  • 1. Agroscope

Description

This dataset contains soil organic carbon stocks as described in Keel et al. Global Change Biology (submitted)

Annual soil organic carbon (SOC) stocks (t C ha-1, 0-30 cm depth) of Swiss agricultural soils simulated with the model RothC for the years 2020-2100. Simulations were performed for 240 strata (regions with similar agricultural production types, climatic conditions and clay content). The SOC stocks are weighted averages across strata for the national scale.    
Each column contains SOC stocks for a specific combination of a climate model chains (nine in total) and an emission scenario (three in total: RCP 26, RCP 45, RCP 85) (specified in column header). 

The results include simulated SOC stocks for a baseline scenario and five soil carbon sequestration (SCS) scenarios (cover crops, biochar amendment at two rates, biochar amendment based on biomass from two agroforestry scenarios). 
The SCS scenarios were only performed on cropland, therefore there is only a single file for grassland (the baseline scenario). 
All simulations (i.e. baseline as well as the five scenarios) account for changes in crop shares and organic matter additions associated with growing food demand as well as climate change. 

The scenarios are described in Keel et al. Global Change Biology (submitted)

CL_baseline: Baseline scenario for cropland (CL) 
GL_baseline: Baseline scenario for permanent grassland (GL)
CL_cover_crops: Cover crop scenario for cropland  
CL_biochar_I: Biochar I scenario for cropland  
CL_biochar_II: Biochar II scenario for cropland  
CL_agroforestry_I: Agroforestry I scenario for cropland 
CL_agroforestry_II: Agroforestry II scenario for cropland   

Files

CL_agroforestry_I.csv

Files (192.6 kB)

Name Size Download all
md5:deee83f7f29f2615e1b0afe2fa678718
27.3 kB Preview Download
md5:a3bc0592dbb5f5e87f83174bd4d73f73
27.3 kB Preview Download
md5:95b5f27435635a0d8a56ce5c16e66eb6
27.3 kB Preview Download
md5:cdd6c26f4defbc1ef13bbf1f85a091bd
27.3 kB Preview Download
md5:ce31e21f27ad375f23aa1260127c5d19
27.3 kB Preview Download
md5:4a9786bc0f348aed8d155c102216a4e5
27.3 kB Preview Download
md5:f51d4dd1d73f76a37c41341b17307588
27.3 kB Preview Download
md5:6331602064d76112d8ddbcaaf6bc859a
1.6 kB Preview Download

Additional details

Related works

Is supplemented by
Report: 10.34776/as105e (DOI)
Journal article: 10.1016/j.jclepro.2019.119241 (DOI)