DOI: 10.5281/zenodo.15873507
title: LAMASUS - Response curves for climate impacts of grassland and cropland management across the EU

description: From simulations with EPIC-IIASA, we derived gridded predictions of average annual changes in topsoil organic carbon storage (kg C m-2yr-1) for croplands and grassland under different types of management. Predictions were made for present-day (2015-2024) and for different future periods (2041-2060, 2061-2080, 2081-2100) following high mitigation (RCP-SSP 126) and low mitigation (RCP-SSP 585) scenarios. Further, we provide future projections based on two global circulation models: of the MPI in Germany and the IPSL in France. We further provide maps of present-day topsoil (0-15 cm) organic carbon stocks (kg C m-2) under current crop- and grassland management as reference, and simulations of climate change impacts under business as usual scenarios.

 

Table 1: Overview of grassland LUMs covered by the response functions






#



Full name





15 



Very high density managed pasture system 





16 



High density managed pasture system





17 



Moderate density managed pasture system 





18 



Low density managed pasture system 





19 



Very high density managed grassland 





20 



High density managed grassland 





21 



Moderate density managed grassland 





22 



Low density managed grassland 





23 



Rough grazing 





24 



Silvo-pastoral agroforestry 





25 



Managed semi-natural and natural grassland 





26 



Unmanaged semi-natural and natural grassland 





 

For grassland, the management scenarios are directly based on the LUM-classes used in the LAMASUS LUM-database (Table 1). For croplands, we used a classification of management intensities that can be translated into LUM classes (see our proposition below in Table 2), but allows for more detail with regard to intensities of fertilization and residue management. In addition, we provide simulated responses of top-soil carbon stocks to conventional vs. conservation tillage practices.

 

Table 2: Main scenarios of EPIC-IIASA simulations, and comparison to LUM classes.






ID and name of EPIC-IIASA scenarios



Number and name of LUM class





M1RF 



Low-intensity fertilisation, rainfed 



5



Rainfed extensive arable cropland 





M2RF 



Medium-intensity fertilisation, rainfed 



11



Rainfed extensive permanent cropland 





 



 



13



Extensive heterogeneous cropland classes 





M3RF 



Medium-high-intensity fertilisation, rainfed 



 



 





M4RF 



High-intensity fertilisation, rainfed 



7



Rainfed intensive arable cropland 





M5RF 



Very-high-intensity fertilisation, rainfed 



10



Rainfed intensive permanent cropland





 



 



12



Intensive heterogeneous cropland classes 





M5IR 



Very-high-intensity fertilisation, irrigated 



6



Irrigated arable cropland 





 



 



9



Irrigated permanent cropland





 

In addition, we provide predictions of net biome productivity (“NBP”, kg C m-2yr-1) of croplands, which represents the stock change in organic carbon for these systems. For grasslands, we additionally provide predictions of net primary productivity (“NPP” , kg C m-2yr-1) and the dry mass yield (t DM ha-1yr-1). All prediction maps are provided as in 5 arc-min resolution for the continental area of EU27+UK. The data is organised in different files. A list of files is provided in Table 3. Each net-cdf file contains additional meta-data explaining variables and dimensions to choose scenarios.

 

Table 3: List of files with simulated carbon impacts of grassland or cropland management.

  


Grassland


EPIC-IIASA-grasslands-Topsoil-OC-initial.nc


 
- the initial top soil (0-15 cm) organics carbon stock in kg C m-2 for grasslands 


EPIC-IIASA-grasslands-historical-LUM.nc


 
- gives NPP, dry mass yield, and changes in topsoil organic carbon stocks (“dSOC”) for each LUM class in Table 1, for present-day based of historical, observation-driven climate forcing


EPIC-IIASA-grasslands-climate-change-impact-by-LUM.nc


 
- gives NPP, dry mass yield, and changes in topsoil organic carbon stocks (“dSOC”) for each LUM class in Table 1, for different periods over the 21st century, for two climate change scenarios (SSP-RCP126 and SSP-RCP585), and projections based on two global circulation models (GCMs: Intitut Pierre-Simon Laplace – IPSL, and Max Planck Institute – MPI)


Croplands


EPIC-IIASA-croplands-Topsoil-OC-initial.nc


 
- gives the initial top soil (0-15 cm) organics carbon stock in kg C m-2 for croplands


EPIC-IIASA-croplands-management-intensities.nc


 
- gives NBP and changes in topsoil organic carbon stocks (“dSOC”) for changes in land management intensities (Table 2) and two scenarios for intensity of residue management (“R00” – removes all residues; “R60” – 60% of residues remain on field), for present-day based of historical, observation-driven climate forcing


EPIC-IIASA-croplands-tillage-impact.nc


 
- gives NBP and changes in topsoil organic carbon stocks (“dSOC”) for business as usual scenarios (no LUM change compared to initial state), for conventional vs. conservation tillage practices, for present-day based of historical, observation-driven climate forcing


EPIC-IIASA-croplands-climate-change-impact.nc


 
- gives NBP and changes in topsoil organic carbon stocks (“dSOC”) for business as usual scenarios (no LUM change compared to initial state), for different periods over the 21st century, for two climate change scenarios (SSP-RCP126 and SSP-RCP585), and projections based on two global circulation models (GCMs: Intitut Pierre-Simon Laplace – IPSL, and Max Planck Institute – MPI)