Articles | Volume 13, issue 6
https://doi.org/10.5194/essd-13-3035-2021
© Author(s) 2021. 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-13-3035-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
29 Jun 2021
Data description paper |
| 29 Jun 2021
| 29 Jun 2021
Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia
School of Geographical Sciences, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Mats Widgren
Department of Human Geography, Stockholm University, 106 91
Stockholm, Sweden
Beibei Li
Department of Science and Technology, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Yu Ye
Key Laboratory of Environmental Change and Natural Disaster, Ministry
of Education, Beijing Normal University, Beijing 100875, China
Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Xiuqi Fang
Key Laboratory of Environmental Change and Natural Disaster, Ministry
of Education, Beijing Normal University, Beijing 100875, China
Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Chengpeng Zhang
Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Tiexi Chen
School of Geographical Sciences, Nanjing University of Information
Science and Technology, Nanjing 210044, China
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13 citations as recorded by crossref.
- Identifying a scenario for preindustrial cropland cover using cultivation data: A case study of France, Germany and Italy D. Zhang et al. 10.1016/j.ancene.2023.100388
- Reconstruction of cropland change in European countries using integrated multisource data since AD 1800 Y. Ye et al. 10.1111/bor.12598
- A 28-time-point cropland area change dataset in Northeast China from 1000 to 2020 R. Jia et al. 10.5194/essd-16-4971-2024
- A spatially explicit reconstruction of cropland cover in China around 1850 C.E. employing new land suitability based gridded allocation algorithm C. Zhang et al. 10.1016/j.quaint.2022.06.001
- Historical land use reconstruction for South Asia: Current understanding, challenges, and solutions S. Li et al. 10.1016/j.earscirev.2023.104350
- Reconstruction of cropland areas for South Asia from AD 640 to 2016 X. Liu et al. 10.1007/s10113-022-01911-5
- The application of ANN-FLUS model in reconstructing historical cropland distribution changes: A case study of Vietnam from 1885 to 2000 X. LIU & H. LIU 10.31497/zrzyxb.20240613
- Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents J. Uhl et al. 10.3390/rs13183672
- 过去<bold>200</bold>年欧洲耕地格网化重建 俊. 李 et al. 10.1360/SSTe-2023-0156
- Spatially explicit reconstruction of cropland cover in Europe from AD 1800 to 2000 J. Li et al. 10.1007/s11430-023-1381-0
- Spatially Explicit Reconstruction of Cropland Using the Random Forest: A Case Study of the Tuojiang River Basin, China from 1911 to 2010 Q. Wang et al. 10.3390/land10121338
- Core taxa underpin soil microbial community turnover during secondary succession T. Sveen et al. 10.1111/1462-2920.16561
- Spatially Continuous Land-Cover Reconstructions Through the Holocene in Southern Sweden R. O’Dwyer et al. 10.1007/s10021-020-00594-5
12 citations as recorded by crossref.
- Identifying a scenario for preindustrial cropland cover using cultivation data: A case study of France, Germany and Italy D. Zhang et al. 10.1016/j.ancene.2023.100388
- Reconstruction of cropland change in European countries using integrated multisource data since AD 1800 Y. Ye et al. 10.1111/bor.12598
- A 28-time-point cropland area change dataset in Northeast China from 1000 to 2020 R. Jia et al. 10.5194/essd-16-4971-2024
- A spatially explicit reconstruction of cropland cover in China around 1850 C.E. employing new land suitability based gridded allocation algorithm C. Zhang et al. 10.1016/j.quaint.2022.06.001
- Historical land use reconstruction for South Asia: Current understanding, challenges, and solutions S. Li et al. 10.1016/j.earscirev.2023.104350
- Reconstruction of cropland areas for South Asia from AD 640 to 2016 X. Liu et al. 10.1007/s10113-022-01911-5
- The application of ANN-FLUS model in reconstructing historical cropland distribution changes: A case study of Vietnam from 1885 to 2000 X. LIU & H. LIU 10.31497/zrzyxb.20240613
- Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents J. Uhl et al. 10.3390/rs13183672
- 过去<bold>200</bold>年欧洲耕地格网化重建 俊. 李 et al. 10.1360/SSTe-2023-0156
- Spatially explicit reconstruction of cropland cover in Europe from AD 1800 to 2000 J. Li et al. 10.1007/s11430-023-1381-0
- Spatially Explicit Reconstruction of Cropland Using the Random Forest: A Case Study of the Tuojiang River Basin, China from 1911 to 2010 Q. Wang et al. 10.3390/land10121338
- Core taxa underpin soil microbial community turnover during secondary succession T. Sveen et al. 10.1111/1462-2920.16561
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
The cropland area of each administrative unit based on statistics in Scandinavia from 1690 to 1999 is allocated into 1 km grid cells. The cropland area increased from 1690 to 1950 and then decreasd in the following years, especially in southeastern Scandinavia. Comparing global datasets with this study, the spatial patterns show considerable differences. Our dataset is validated using satellite-based cropland cover data and results in previous studies.
The cropland area of each administrative unit based on statistics in Scandinavia from 1690 to...
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