Articles | Volume 15, issue 12
https://doi.org/10.5194/essd-15-5651-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-5651-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The first map of crop sequence types in Europe over 2012–2018
Université Paris-Saclay, AgroParisTech, INRAE, UMR Agronomie, 78850, Thiverval-Grignon, France
Nicolas Guilpart
Université Paris-Saclay, AgroParisTech, INRAE, UMR Agronomie, 78850, Thiverval-Grignon, France
Marie-Hélène Jeuffroy
Université Paris-Saclay, AgroParisTech, INRAE, UMR Agronomie, 78850, Thiverval-Grignon, France
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Cited
20 citations as recorded by crossref.
- Long-term evolution of crop sequences and their agronomic performance in Wallonia T. Desmarez et al. https://doi.org/10.1016/j.eja.2026.128133
- Statistical atlas of European agriculture: gridded data from the agricultural census 2020 and the spatial distribution of CAP contextual indicators N. Lampach et al. https://doi.org/10.5194/essd-17-3893-2025
- Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics B. Hejmanowska & P. Kramarczyk https://doi.org/10.3390/app15010240
- Crop rotations synergize yield, nutrition, and revenue: a meta-analysis S. Mudare et al. https://doi.org/10.1038/s41467-025-64567-9
- Functionally rich crop rotations increase calorie and macronutrient outputs across Europe G. Vico et al. https://doi.org/10.1038/s43016-026-01293-5
- Designing crop rotations to sustain territorial food self-sufficiency T. Desmarez et al. https://doi.org/10.1016/j.gfs.2026.100924
- Generic crop rotation pattern-matching algorithm revealed dominant rotational systems for France U. Javourez et al. https://doi.org/10.1016/j.compag.2026.111444
- Automated Workflow for High-Resolution 4D Vegetation Monitoring Using Stereo Vision M. Kobe et al. https://doi.org/10.3390/rs16030541
- How does low-input crop management perform? Economic, environmental and social assessment data on different arable crop management strategies in France S. Buresi et al. https://doi.org/10.1016/j.dib.2025.112316
- Land use modelling needs to better account for multiple cropping to inform pathways for sustainable agriculture K. Waha et al. https://doi.org/10.1038/s43247-025-02724-0
- Integrating Earth Observation and Digital Tools for Agricultural Mapping and Monitoring: The Mozambique Case Study C. Paris et al. https://doi.org/10.1109/JSTARS.2026.3698556
- A dataset of crop succession indicators for 2015–2021 M. Dedieu et al. https://doi.org/10.1016/j.dib.2024.110907
- Biomass yield, crude protein yield and nitrogen use efficiency over nine years in annual and perennial cropping systems S. Larsen et al. https://doi.org/10.1016/j.eja.2024.127336
- Low-hanging fruit? Identifying opportunities to enhance crop diversity in the United States C. Bouvet-Boisclair & G. MacDonald https://doi.org/10.1088/1748-9326/adfaf5
- Remote sensing for crop mapping: A perspective on current and future crop-specific land cover data products C. Zhang et al. https://doi.org/10.1016/j.rse.2025.114995
- An efficient and transferable remote sensing spectral index for regional corn mapping M. Han & J. Chai https://doi.org/10.1016/j.srs.2025.100308
- Strategies to improve field establishment of cover crops. A review X. Feng et al. https://doi.org/10.1007/s13593-024-00986-0
- Reducing pesticide use through the adaptation of crop management strategies has little impact on farm economic performance N. Romain et al. https://doi.org/10.1016/j.eja.2026.128030
- Harmonized European Union subnational crop statistics can reveal climate impacts and crop cultivation shifts G. Ronchetti et al. https://doi.org/10.5194/essd-16-1623-2024
- Impacts of land-use change on biospheric carbon: an oriented benchmark using the ORCHIDEE land surface model T. Dinh et al. https://doi.org/10.5194/gmd-17-6725-2024
20 citations as recorded by crossref.
- Long-term evolution of crop sequences and their agronomic performance in Wallonia T. Desmarez et al. https://doi.org/10.1016/j.eja.2026.128133
- Statistical atlas of European agriculture: gridded data from the agricultural census 2020 and the spatial distribution of CAP contextual indicators N. Lampach et al. https://doi.org/10.5194/essd-17-3893-2025
- Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics B. Hejmanowska & P. Kramarczyk https://doi.org/10.3390/app15010240
- Crop rotations synergize yield, nutrition, and revenue: a meta-analysis S. Mudare et al. https://doi.org/10.1038/s41467-025-64567-9
- Functionally rich crop rotations increase calorie and macronutrient outputs across Europe G. Vico et al. https://doi.org/10.1038/s43016-026-01293-5
- Designing crop rotations to sustain territorial food self-sufficiency T. Desmarez et al. https://doi.org/10.1016/j.gfs.2026.100924
- Generic crop rotation pattern-matching algorithm revealed dominant rotational systems for France U. Javourez et al. https://doi.org/10.1016/j.compag.2026.111444
- Automated Workflow for High-Resolution 4D Vegetation Monitoring Using Stereo Vision M. Kobe et al. https://doi.org/10.3390/rs16030541
- How does low-input crop management perform? Economic, environmental and social assessment data on different arable crop management strategies in France S. Buresi et al. https://doi.org/10.1016/j.dib.2025.112316
- Land use modelling needs to better account for multiple cropping to inform pathways for sustainable agriculture K. Waha et al. https://doi.org/10.1038/s43247-025-02724-0
- Integrating Earth Observation and Digital Tools for Agricultural Mapping and Monitoring: The Mozambique Case Study C. Paris et al. https://doi.org/10.1109/JSTARS.2026.3698556
- A dataset of crop succession indicators for 2015–2021 M. Dedieu et al. https://doi.org/10.1016/j.dib.2024.110907
- Biomass yield, crude protein yield and nitrogen use efficiency over nine years in annual and perennial cropping systems S. Larsen et al. https://doi.org/10.1016/j.eja.2024.127336
- Low-hanging fruit? Identifying opportunities to enhance crop diversity in the United States C. Bouvet-Boisclair & G. MacDonald https://doi.org/10.1088/1748-9326/adfaf5
- Remote sensing for crop mapping: A perspective on current and future crop-specific land cover data products C. Zhang et al. https://doi.org/10.1016/j.rse.2025.114995
- An efficient and transferable remote sensing spectral index for regional corn mapping M. Han & J. Chai https://doi.org/10.1016/j.srs.2025.100308
- Strategies to improve field establishment of cover crops. A review X. Feng et al. https://doi.org/10.1007/s13593-024-00986-0
- Reducing pesticide use through the adaptation of crop management strategies has little impact on farm economic performance N. Romain et al. https://doi.org/10.1016/j.eja.2026.128030
- Harmonized European Union subnational crop statistics can reveal climate impacts and crop cultivation shifts G. Ronchetti et al. https://doi.org/10.5194/essd-16-1623-2024
- Impacts of land-use change on biospheric carbon: an oriented benchmark using the ORCHIDEE land surface model T. Dinh et al. https://doi.org/10.5194/gmd-17-6725-2024
Saved (final revised paper)
Latest update: 18 Sep 2026
Short summary
Assessing the benefits of crop diversification – a key element of agroecological transition – on a large scale requires a description of current crop sequences as a baseline, which is lacking at the scale of Europe. To fill this gap, we used a dataset that provides temporally and spatially incomplete land cover information to create a map of dominant crop sequence types for Europe over 2012–2018. This map is a useful baseline for assessing the benefits of future crop diversification.
Assessing the benefits of crop diversification – a key element of agroecological transition – on...
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