1 / 6

Utilizing Register Data and Modelling to Reduce Response Burden in EU Agricultural Statistics

This study explores the use of register data and modelling to reduce response burden in agricultural statistics, focusing on cases in the EU. The analysis includes crop rotation analysis and field parcel data. The results show the potential for using geospatial data to track crop rotation and determine monoculture areas. Further advancements in utilizing geospatial data could enhance the analysis. Contact Pasi Mattila or Johanna Laiho-Kauranne for more information.

heldt
Download Presentation

Utilizing Register Data and Modelling to Reduce Response Burden in EU Agricultural Statistics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Reduction of response burden by utilising extensively register data and modelling: Cases from new EU data needs in agricultural statistics Pasi Mattila Natural Resources Institute Finland, Finland, pasi.mattila@luke.fi Johanna Laiho-Kauranne Natural Resources Institute Finland, Finland, johanna.laiho-kauranne@luke.fi Esa Katajamäki Natural Resources Institute Finland, Finland, esa.katajamaki@luke.fi Sub ID: 20467618555

  2. Crop rotation & Analysis of field parcel data • Source register: • IACS Field Parcel Register, Finnish Agency for Rural Affairs (Mavi) • Data: Crops, areas, location • How large field area had the same crop in consecutive years (monoculture)? • A parcel has only one crop → The whole area • A parcel has several crops, and one or several of the crops are the same in consecutive years → Situation is unclear • Geospatial data indicates the area with the same crop in consecutive years Field parcels in the web service for farmers (Finnish Agency for Rural Affairs (Mavi))

  3. Process of the determination of monoculture area • The geospatial data of crop location indicates the area within the parcel in question where same crop was grown in two consecutive years. • To extend the scrutiny to a third consecutive year when the same crop has been grown on the same parcel, an intersection is formed of the intersection of the first two years and the same crop's location of the third year. • This new intersection indicates the area where the same crop has been grown in all three consecutive years. Barley 2015 Barley 2016 Barley 2015 and 2016 (intersection of 2015 and 2016)

  4. Determination of monoculture area – effect of thesequence of the number of crops in a field parcel

  5. Monoculture area of the SAPM sample farms calculated from IACS field parcel data compared with the monoculture area of SAPM survey • Results indicate that with the inclusion of temporary grassland, monoculture area calculated from IACS data is close to that obtained from the SAPM (Table 1). • In the calculation of monoculture area for the FSS 2016, both permanent and temporary grassland were excluded, because they were not considered to have a negative effect when grown in monoculture. • Besides the analysis of monoculture area, it is possible to use the method and the geospatial data of field parcels for a broader analysis of crop rotation by tracking any defined sequence of different crops

  6. Conclusions: In the future, the developed calculation method will be used in the production of crop rotation characteristics for farm statistics.  Besides the analysis of monoculture area, it is possible to use the method and the geospatial data of field parcels for a broader analysis of crop rotation by tracking any defined sequence of different crops.  The potential enhancement in the use of geospatial data may enable the execution of the analysis using solely the geospatial data that indicates the location of individual crop species within field parcels. Thankyou for yourattention! For furtherinformationpleasecontact: Pasi Mattila or Johanna Laiho-Kauranne forename.surname@luke.fi Luke Statistical WebServiceson Agricultral, Forestry , Fishery and Bioeconomystatistics: http://stat.luke.fi/en/

More Related