Our research projects

Photo: Manuel Gutjahr

Project

Title
Wirtschaftsdüngermanagement zur Minderung von Methanemissionen: Verbesserte Modellierung in Emissionsinventaren als Unterstützung für politische Handlungsoptionen (M4Models)
Acronym
M4Models
Start
01.12.2019
End
28.02.2023
Coordinating Institute
Aarhus Universität - UA
Coordinator
Soeren Pedersen
Partner
Lund University
Wageningen University and Research Centre
Reseach Institutes of Sweden, Agrifood and Bioscience
Bioprocess Control Sweden

Allocated to research program
Summary
The M4Models project will investigate the reduction potential for greenhouse gas (GHG) emissions from livestock using a new methodology to determine methane (CH4) emissions from liquid manure storage combined with a model to describe carbon (C) and nitrogen (N) fluxes at farm level. This new methodology is transparent and provides verifiable estimates of greenhouse gas reduction. While the focus is on existing emission abatement technologies (in particular feeding and anaerobic digestion), the proposed methodology - after validation in this project - can be used to quantify the impact of abatement measures, and also in national emission inventories. M4Models works towards the following objectives: - Quantification of CH4 emissions and N-availability of liquid manure including reduction measures; - Estimates of greenhouse gas reduction at the operational level through integration into operational models; - Improvement of CH4 emission estimates and greenhouse gas reduction potentials for national emission inventories.

Funding
Bundesministerium für Ernährung und Landwirtschaft (BMEL)
Funding agency
Bundesanstalt für Landwirtschaft und Ernährung - Projektträger
Grant agreement number
2819ERA07A
Funding
Europäische Union (EU)
Funding framework
Joint Call (Cofund) ERA-NET ICT-AGRI 2, SusAn und FACCE ERA-GAS

Cookies

We use cookies. Some are required to offer you the best possible content and functions while others help us to anonymously analyze access to our website. (Matomo) Privacy policy

Required required

Necessary cookies are absolutely essential for the proper functioning of the website. This category only includes cookies that ensure basic functionalities and security features of the website. These cookies do not store any personal information.

Cookie Duration Description
PHPSESSID Session Stores your current session with reference to PHP applications, ensuring that all features of the site can be displayed properly. The cookie is deleted when the browser is closed.
bakery 24 hours Stores your cookie preferences.
fe_typo_user Session Is used to identify a session ID when logging into the TYPO3 frontend.
__Secure-typo3nonce_xxx Session Security-related. For internal use by TYPO3.
Analytics

With cookies in this category, we learn from visitors' behavior on our website and can make relevant information even more accessible.

Cookie Duration Description
_pk_id.xxx 13 months Matomo - User ID (for anonymous statistical analysis of visitor traffic; determines which user is being tracked)
_pk_ses.xxx 30 minutes Matomo - Session ID (for anonymous statistical analysis of visitor traffic; determines which session is being tracked)