Use cases and scientific potential of land use data from the EU’s Integrated Administration and Control System: A systematic mapping review

• We review the use of data from the Integrated Administration and Control System. • Common use cases are in ecology, agronomy, social sciences, and remote sensing. • Data are often used to analyze the impacts of agricultural land use. • Data and method descriptions are often not detailed enough for reproducibility. • The data are unique and valuable, but user should address their limitations. As of the 2021 reform of the EU’s Common Agricultural Policy (CAP), Member States are obliged to make land use datasets from the Integrated Administration and Control System (IACS) publicly available. These data include annual geospatially referenced information on crops grown on all land used by farmers to claim CAP-related payments. This paper sets out to comprehensively collect and systematically review scientific literature that has used IACS land use data. It provides a reference for future users of the data and demonstrates their unique scientific potential. Following the methodology of a systematic mapping review, we identified 270 publications using IACS land use data from Austria, Czechia (formerly the Czech Republic), France, Germany, and Sweden. Most were from the disciplines of ecology, agronomy, and land use sciences with fewer from remote sensing, economics, hydrology, and medicine. Based on a subsample analysis, we demonstrate that IACS land use data are most commonly used to describe agricultural land use and related impacts on ecological and agronomic outcomes, and to calibrate various types of models to observed land use. However, it appears that research groups using the data are not well connected, common terminology is lacking, and reproducibility suffers from missing details about data acquisition, pre-processing, and use. For more effective data use, we suggest increased collaboration, improved data infrastructure and documentation, and data harmonization.

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Publication Details

Journal
Ecological Indicators
Published
2024-10-01
DOI
https://doi.org/10.1016/j.ecolind.2024.112709
Citations
15
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
4.24

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article

Use cases and scientific potential of land use data from the EU’s Integrated Administration and Control System: A systematic mapping review

Maximilian Wesemeyer, Andreas Eder, Silke Hüttel, Henning Schaak et al.
15 citations
Ecological Indicators
Land Use and Ecosystem Services
4.24
article

Use cases and scientific potential of land use data from the EU’s Integrated Administration and Control System: A systematic mapping review

Maximilian Wesemeyer, Andreas Eder, Silke Hüttel, Henning Schaak, Stefan Seifert, Saskia Wolff, Heidi Leonhardt, Tobia Lakes
article en
15 citations

Abstract

• We review the use of data from the Integrated Administration and Control System. • Common use cases are in ecology, agronomy, social sciences, and remote sensing. • Data are often used to analyze the impacts of agricultural land use. • Data and method descriptions are often not detailed enough for reproducibility. • The data are unique and valuable, but user should address their limitations. As of the 2021 reform of the EU’s Common Agricultural Policy (CAP), Member States are obliged to make land use datasets from the Integrated Administration and Control System (IACS) publicly available. These data include annual geospatially referenced information on crops grown on all land used by farmers to claim CAP-related payments. This paper sets out to comprehensively collect and systematically review scientific literature that has used IACS land use data. It provides a reference for future users of the data and demonstrates their unique scientific potential. Following the methodology of a systematic mapping review, we identified 270 publications using IACS land use data from Austria, Czechia (formerly the Czech Republic), France, Germany, and Sweden. Most were from the disciplines of ecology, agronomy, and land use sciences with fewer from remote sensing, economics, hydrology, and medicine. Based on a subsample analysis, we demonstrate that IACS land use data are most commonly used to describe agricultural land use and related impacts on ecological and agronomic outcomes, and to calibrate various types of models to observed land use. However, it appears that research groups using the data are not well connected, common terminology is lacking, and reproducibility suffers from missing details about data acquisition, pre-processing, and use. For more effective data use, we suggest increased collaboration, improved data infrastructure and documentation, and data harmonization.

Ecological IndicatorsVol. 167
University of Bonn (DE), Humboldt-Universität zu Berlin (DE), Universitätsmedizin Göttingen (DE), University of Göttingen (DE), BOKU University (AT)
Deutsche Forschungsgemeinschaft, Austrian Science Fund
Zero hunger
Openalex Percentile: Top 5%
Land Use and Ecosystem Services
4.24
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