Inventory practice: Institutional arrangements for data supply in Denmark’s inventory

Sadie S

Keywords: Institutional arrangements

What data needs were addressed? Institutional arrangements for data collection, exchange and collaboration.

Why was the data needed? Compilation of input data for the annual inventory.

Methods used: Close cooperation between statistics, research institutes and advisory services.

How did the data need to be addressed? Both the Danish Centre for Environment and Energy (DCE) and Aarhus University have established data agreements (MOUs) with institutes and organizations (see table below) to ensure required input data is annually available to prepare the emission inventory. SEGES, the central office for all Danish agricultural advisory services, shares data with DCE and Aarhus University, who update the input data in the Integrated Database Model (see Inventory practice: Integrated data management in Denmark) annually.

The cooperation between research and advisory services is of mutual benefit: it enables researchers to access actual and high-quality data, whilst it enables advisory services to have actual core data to its disposal for high-quality services and the provision of benchmarks to their farmers.

InstituteKey data/information collected
Statistics Denmark Agricultural Statistics• Livestock production
• Milk yields
• Slaughtering data
• Export of live animals poultry
• Land use
• Crop production
• Crop yields
Danish Centre for Food and Agriculture (DCA), Aarhus University• N-Excretion
• Feeding plans
• Animal growth
• Use of straw for bedding
• N-content in crops
• Modeling of data regarding N-leaching/runoff
• NH3 emission factor
SEGES• Housing type (until 2004)
• Grazing situation
• Manure application time and methods
• Estimation of extent of field burning of agricultural residues
• Acidification of slurry

Author: Andreas Wilkes, Values for development Ltd (2019)