Use Cases of the Integrated Administration and Control System’s Plot-Level Data: Protocol and Pilot Analysis for a Systematic Mapping Review

Table of contents

Bibliographic information

Cover of Volume: GJAE - German Journal of Agricultural Economics Volume 72 (2023), Edition 03-04
No access

GJAE - German Journal of Agricultural Economics

Volume 72 (2023), Edition 03-04

Authors:
, , , , , , , , , , , , , ,
Publisher
dfv Mediengruppe, Frankfurt am Main
Publication year
2023
ISSN-Online
2191-4028
ISSN-Print
2191-4028

Chapter information

No access

Volume 72 (2023), Edition 03-04

Use Cases of the Integrated Administration and Control System’s Plot-Level Data: Protocol and Pilot Analysis for a Systematic Mapping Review

Authors:
, , , ,
ISSN-Print
2191-4028
ISSN-Online
2191-4028
Preview:

In recent years, land use data from the EU’s Integrated Administration and Control System (IACS) have become increasingly available for research purposes. IACS data contain annual plot-level information on cultivation and location of the land farmed by agricultural beneficiaries, covering the majority of farmland in the EU. The data thus provide information on land use that is spatially and temporally highly disaggregated. Researchers from a broad range of disciplines already rely on IACS data for various applications and EU member states must make an anonymised, geospatially-referenced version of the data publicly available in the future. However, there is no complete and structured overview of the data’s use, their benefits and limitations that future research could rely on. This calls for conducting a systematic review of the applications of IACS plot-level data in scientific literature. Preparing the ground for such a review, this paper presents a review protocol for identifying and analysing publications using plot-level IACS data from Austria, Czechia, France, Germany, and Sweden in a systematic map. To test and refine the protocol and to illustrate the planned review, we conduct a pilot analysis of 12 selected academic publications and present the results. The pilot analysis demonstrates that the review protocol is adequate and that novel insights will be gained by mapping out the already existing work that uses IACS data. KeywordsIntegrated Administration and Control System; InVeKoS; systematic map protocol; systematic mapping review; review protocolDOI: 10.30430/gjae.2023.0385

Bibliography

  1. APRIYANI, V., M.J.M. HOLLE, C. SILANGEN, F.T. OKTALIRA and S. MUMBUNAN. (2021): What evidence exists on the relationship between agricultural production and biodiversity in tropical rainforest areas? A systematic map protocol. In: Environmental Evidence 10 (1): 21. Open Google Scholar
  2. ARPINON, T. and R. ESPINOSA. (2022): A Practical Guide to Registered Reports for Economists. In: SSRN Electronic Journal. doi:10.2139/ssrn.4110803. Open Google Scholar
  3. BARBOTTIN, A., C. BOUTY and P. MARTIN. (2018): Using the French LPIS database to highlight farm area dynamics: The case study of the Niort Plain. In: Land Use Policy 73 (Elsevier Ltd): 281-289. Open Google Scholar
  4. BILL, R., E. NASH and G. GRENZDÖRFFER. (2011): GIS in Agriculture. In: Springer Handbook of Geographic Information. Springer Berlin Heidelberg, Berlin, Heidelberg: 461-476. Open Google Scholar
  5. BODDY, C.R. (2015): Sample size for Qualitative Interviews. In: Qualitative Market Research: An International Journal 19 (2003): 426-432. Open Google Scholar
  6. BORNMANN, L., R. HAUNSCHILD and R. MUTZ (2021): Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases. In: Humanities and Social Sciences Communications 8 (1): 1-15. Open Google Scholar
  7. BRAINARD, J. (2023): Fake scientific papers are alarmingly common. https://www.science.org/content/article/fake-scientific-papers-are-alarmingly-common. doi:10.1126/science.adi6523. Open Google Scholar
  8. BROWN, S.E., D.C. MILLER, P.J. ORDONEZ and K. BAYLIS. (2018): Evidence for the impacts of agroforestry on agricultural productivity, ecosystem services, and human well-being in high-income countries: A systematic map protocol. In: Environmental Evidence 7 (1): 24. Open Google Scholar
  9. BRUNSON, J.C. and Q. d. READ (2020): ggalluvial: Alluvial Plots in “ggplot2.” Open Google Scholar
  10. DALE, V.H. and S. POLASKY. (2007): Measures of the effects of agricultural practices on ecosystem services. In: Ecological Economics 64 (2): 286-296. Open Google Scholar
  11. DIJK, S.H.B. VAN, M.G.J. BRUSSE-KEIZER, C.C. BUCSÁN, J. VAN DER PALEN, C.J.M. DOGGEN and A. LENFERINK (2023): Artificial intelligence in systematic reviews: promising when appropriately used. In: BMJ open 13 (7): e072254. Open Google Scholar
  12. EDER, A., K. SALHOFER and E. SCHEICHEL. (2021): Land tenure, soil conservation, and farm performance: An eco-efficiency analysis of Austrian crop farms. In: Ecological Economics 180 (February 21): 106861. Open Google Scholar
  13. EUROPEAN COMMISSION (2023): Aims of the integrated administration and control system. https://agriculture.ec.europa.eu/common-agricultural-policy/financing-cap/assurance-and-audit/managing-payments_en, accessed 13.10.2023. Open Google Scholar
  14. FAHRIG, L., J. BAUDRY, L. BROTONS, F.G. BUREL, T.O. CRIST, R.J. FULLER, C. SIRAMI, G.M. SIRIWARDENA and J.-L. MARTIN (2011): Functional landscape heterogeneity and animal biodiversity in agricultural landscapes. In: Ecology Letters 14 (2): 101-112. Open Google Scholar
  15. FERRARO, P.J. and P. SHUKLA (2023): Credibility crisis in agricultural economics. In: Applied Economic Perspectives and Policy 45 (3): 1275-1291. Open Google Scholar
  16. FINGER, R., C. GREBITUS and A. HENNINGSEN (2023): Replications in agricultural economics. In: Applied Economic Perspectives and Policy 45 (3): 1258-1274. Open Google Scholar
  17. GRANT, M.J. and A. BOOTH (2009): A typology of reviews: an analysis of 14 review types and associated methodologies. In: Health Information & Libraries Journal 26 (2): 91-108. Open Google Scholar
  18. HADDAWAY, N.R., B. MACURA, P. WHALEY and A.S. PULLIN (2018): ROSES RepOrting standards for Systematic Evidence Syntheses: pro forma, flow-diagram and descriptive summary of the plan and conduct of environmental systematic reviews and systematic maps. 7: 7. Open Google Scholar
  19. HAMMOND, A., A. ADRIAANSE, E. RODENBURG, D. BRYANT and R. WOODWARD (1995): Environmental indicators: A systematic approach to measuring and reporting on environmental policy performance in the context of sustainable development. World Resources Institute, Washington D. C. Open Google Scholar
  20. HECKELEI, T., S. HÜTTEL, M. ODENING and J. ROMMEL (2023): The p-Value Debate and Statistical (Mal)practice - Implications for the Agricultural and Food Economics Community. In: German Journal of Agricultural Economics 72 (1): 47-67. Open Google Scholar
  21. HEINK, U. and I. KOWARIK (2010): What are indicators? On the definition of indicators in ecology and environmental planning. In: Ecological Indicators 10 (3): 584-593. Open Google Scholar
  22. JAMES, K.L., N.P. RANDALL and N.R. HADDAWAY (2016): A methodology for systematic mapping in environmental sciences. In: Environmental Evidence 5 (1): 7. Open Google Scholar
  23. KELLY, E., L. LATRUFFE, Y. DESJEUX, M. RYAN, S. UTHES, A. DIAZABAKANA, E. DILLON and J. FINN (2018): Sustainability indicators for improved assessment of the effects of agricultural policy across the EU: Is FADN the answer? In: Ecological Indicators 89 (December 2017): 903-911. Open Google Scholar
  24. KIRCHWEGER, S., Y. CLOUGH, M. KAPFER, I. STEFFAN-DEWENTER and J. KANTELHARDT (2020): Do improved pollination services outweigh farm-economic disadvantages of working in small-structured agricultural landscapes? - Development and application of a bio-economic model. In: Ecological Economics 169: 106535. Open Google Scholar
  25. KUGLEY, S., A. WADE, J. THOMAS, Q. MAHOOD, A.K. JØRGENSEN, K. HAMMERSTRØM and N. SATHE (2017): Searching for studies: a guide to information retrieval for Campbell systematic reviews. In: Campbell Systematic Reviews 13 (1): 1-73. Open Google Scholar
  26. KYERE, I., T. ASTOR, R. GRAß and M. WACHENDORF (2019): Multi-Temporal Agricultural Land-Cover Mapping Using Single-Year and Multi-Year Models Based on Landsat Imagery and IACS Data. In: Agronomy 9 (6): 309. Open Google Scholar
  27. LATRUFFE, L. and L. PIET (2014): Does land fragmentation affect farm performance? A case study from Brittany, France. In: Agricultural Systems 129 (July 2014): 68-80. Open Google Scholar
  28. LEONHARDT, H., M. PENKER and K. SALHOFER (2019): Do farmers care about rented land? A multi-method study on land tenure and soil conservation. In: Land Use Policy 82 (March 2019): 228-239. Open Google Scholar
  29. LOMBA, A., M. STROHBACH, J.S. JERRENTRUP, J. DAUBER, S. KLIMEK and D.I. MCCRACKEN (2017): Making the best of both worlds: Can high-resolution agricultural administrative data support the assessment of High Nature Value farmlands across Europe? In: Ecological Indicators 72 (Elsevier Ltd): 118-130. Open Google Scholar
  30. LÜKER-JANS, N., D. SIMMERING and A. OTTE (2016): Analysing Data of the Integrated Administration and Control System (IACS) to Detect Patterns of Agricultural Land-Use Change at Municipality Level. In: Landscape Online 48: 1-24. Open Google Scholar
  31. MAYRING, P. (2022): Qualitative Inhaltsanalyse: Grundlagen und Techniken. 13th ed. Beltz, Weinheim Basel. Open Google Scholar
  32. MEDEIROS, A., C. FERNANDES, J.F. GONÇALVES and P. FARINHA-MARQUES (2021): Research trends on integrative landscape assessment using indicators - A systematic review. In: Ecological Indicators 129: 107815. Open Google Scholar
  33. MUNN, Z., M.D.J. PETERS, C. STERN, C. TUFANARU, A. MCARTHUR and E. AROMATARIS (2018): Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. In: BMC Medical Research Methodology 18 (1): 143. Open Google Scholar
  34. NIEMEIJER, D. (2002): Developing indicators for environmental policy: Data-driven and theory-driven approaches examined by example. In: Environmental Science and Policy 5 (2): 91-103. Open Google Scholar
  35. NIEMEIJER, D. and R.S. DE GROOT (2008): A conceptual framework for selecting environmental indicator sets. In: Ecological Indicators 8 (1): 14-25. Open Google Scholar
  36. NIEMI, G.J. and M.E. MCDONALD (2004): Application of ecological indicators. In: Annual Review of Ecology, Evolution, and Systematics 35 (1): 89-111. Open Google Scholar
  37. NIVA CONSORTIUM. NIVA TECHNICAL BRIEF No. 1: Common Crop Type List for CAP Monitoring Executive summary. Open Google Scholar
  38. OTTOY, S., V. ANGILERI, C. GIBERT, M.L. PARACCHINI, P. POINTEREAU, J.M. TERRES, J. VAN ORSHOVEN, L. VRANKEN and L. V. DICKS (2018): Impacts of selected Ecological Focus Area options in European farmed landscapes on climate regulation and pollination services: A systematic map protocol. In: Environmental Evidence 7 (1): 10. Open Google Scholar
  39. PETERS, M.D.J., C. MARNIE, A.C. TRICCO, D. POLLOCK, Z. MUNN, L. ALEXANDER, P. MCINERNEY, C.M. GODFREY and H. KHALIL (2020): Updated methodological guidance for the conduct of scoping reviews. In: JBI Evidence Synthesis 18 (10): 2119-2126. Open Google Scholar
  40. R CORE TEAM (2021): R: A language and environment for statistical computing. Open Google Scholar
  41. ROSSUM, G. VAN and F.L. DRAKE (2009): Python 3 Reference Manual. Create Space, Scotts Valley, CA. Open Google Scholar
  42. RUSCH, A., K. BIRKHOFER, R. BOMMARCO, H.G. SMITH and B. EKBOM (2014): Management intensity at field and landscape levels affects the structure of generalist predator communities. In: Oecologia 175 (3): 971-983. Open Google Scholar
  43. RUSCH, A., R. BOMMARCO, M. JONSSON, H.G. SMITH and B. EKBOM (2013): Flow and stability of natural pest control services depend on complexity and crop rotation at the landscape scale. In: Journal of Applied Ecology 50 (2): 345-354. Open Google Scholar
  44. SABEL, B.A., E. KNAACK, G. GIGERENZER and M. BILC (2023): Fake Publications in Biomedical Science: Red-flagging Method Indicates Mass Production. In: medRxiv (2023.05.06.23289563). doi:https://doi.org/10.1101/2023.05.06.23289563. Open Google Scholar
  45. SAGRIS, V., T. KIKAS and V. ANGILERI (2015): Registration of land for the common agricultural policy management: Potentials for evaluation of environmental policy integration. In: International Journal of Agricultural Resources, Governance and Ecology 11 (1): 24-44. Open Google Scholar
  46. SAGRIS, V., P. WOJDA, P. MILENOV and W. DEVOS (2013): The harmonised data model for assessing Land Parcel Identification Systems compliance with requirements of direct aid and agri-environmental schemes of the CAP. In: Journal of Environmental Management 118 (Elsevier Ltd): 40-48. Open Google Scholar
  47. SCIMAGO. SJR — SCImago Journal & Country Rank [Portal]: http://www.scimagojr.com. Open Google Scholar
  48. SKLENICKA, P., V. JANOVSKA, M. SALEK, J. VLASAK and K. MOLNAROVA (2014): The Farmland Rental Paradox: Extreme land ownership fragmentation as a new form of land degradation. In: Land Use Policy 38 (May 2014): 587-593. Open Google Scholar
  49. SKLENICKA, P. and M. SALEK (2008): Ownership and soil quality as sources of agricultural land fragmentation in highly fragmented ownership patterns. In: Landscape Ecology 23 (3): 299-311. Open Google Scholar
  50. TOMLINSON, S.J., U. DRAGOSITS, P.E. LEVY, A.M. THOMSON and J. MOXLEY (2018): Quantifying gross vs. net agricultural land use change in Great Britain using the Integrated Administration and Control System. In: Science of the Total Environment 628-629 (July 1, 2018): 1234-1248. Open Google Scholar
  51. UTHES, S., E. KELLY and H.J. KÖNIG (2020): Farm-level indicators for crop and landscape diversity derived from agricultural beneficiaries data. In: Ecological Indicators 108 (January 2020): 105725. Open Google Scholar
  52. UUEMAA, E., Ü. MANDER and R. MARJA (2013): Trends in the use of landscape spatial metrics as landscape indicators: A review. In: Ecological Indicators 28 (May 2013): 100-106. Open Google Scholar
  53. WICKHAM, H (2016): ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York. Open Google Scholar
  54. WOLFF, S., S. HÜTTEL, C. NENDEL and T. LAKES (2021): Agricultural Landscapes in Brandenburg, Germany: An Analysis of Characteristics and Spatial Patterns. In: International Journal of Environmental Research 15 (3): 487-507. Open Google Scholar

Citation

Download RIS Download BibTex
No access
You do not have access to this content.

Share via email

Media