EconPapers    
Economics at your fingertips  
 

Measuring and Modeling Soil Carbon Changes on Dutch Dairy Farms

René Schils (), Colin Dekker, Jouke Oenema, Gerjan Hilhorst, Jan-Paul Wagenaar and Koos Verloop
Additional contact information
René Schils: Wageningen Plant Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
Colin Dekker: Wageningen Plant Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
Jouke Oenema: Wageningen Plant Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
Gerjan Hilhorst: Agro-Innovation Centre De Marke, Roessinkweg 2, 7255 PC Hengelo, The Netherlands
Jan-Paul Wagenaar: Louis Bolk Institute, Kosterijland 3-5, 3981 AJ Bunnik, The Netherlands
Koos Verloop: Wageningen Plant Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands

Land, 2025, vol. 14, issue 4, 1-14

Abstract: Soil carbon sequestration is one of the pathways for the dairy sector to mitigate climate change. Soil carbon measures have been reviewed extensively, including estimates of their impacts on regional or national scales. Eventually, these measures are to be implemented by the farmers themselves, justifying an assessment at farm and field level. Here, we used soil and management data from 96 fields on nine dairy farms to quantify annual stock changes under current management and the effect of several carbon measures on soil carbon sequestration in relation to farm configurations. The fields were in use as permanent grassland or grass-arable rotation with forage maize or other crops. We compared the observed changes in the soil layer of 0–25 cm with the RothC simulated changes, and we also simulated the effect of carbon measures on soil carbon stocks. We found a moderate (R 2 = 0.30) relation between simulated and measured soil carbon changes. Factors that contribute to the uncertainties are the estimates of field-specific carbon inputs from crop residues and manures, especially for farms that temporarily exchange land with other farmers. The current standard agronomic soil sampling program is unable to reliably detect soil carbon changes at a farm or field level. The annual changes in simulated soil carbon were negatively related to the initials carbon stocks, which has important implications for the potential of additional carbon storage. Therefore, we propose an indicator that expresses the current soil carbon stock in relation to the location-specific maximal achievable carbon stock for permanent grassland that receives an equivalent of 170 kg nitrogen per ha per year from animal manure. This can be used to compare farms and indicate whether a farmer’s focus should be on additional carbon storage or the protection of existing stocks. The simulation of carbon measures showed that the proportion of grassland is key in soil carbon storage.

Keywords: carbon sequestration; modeling; grassland; forage maize; mitigation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/14/4/874/pdf (application/pdf)
https://www.mdpi.com/2073-445X/14/4/874/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:14:y:2025:i:4:p:874-:d:1635793

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-04-17
Handle: RePEc:gam:jlands:v:14:y:2025:i:4:p:874-:d:1635793