Articles | Volume 9, issue 2
https://doi.org/10.5194/esd-9-441-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-9-441-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 May 2018
Research article |
| 03 May 2018
| 03 May 2018
A global assessment of gross and net land change dynamics for current conditions and future scenarios
Richard Fuchs
CORRESPONDING AUTHOR
Environmental Geography group, Institute for Environmental Studies (IVM), VU University Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
Land Use Change group, Institute of Meteorology and Climate Research – Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT) – Campus Alpin, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Reinhard Prestele
Environmental Geography group, Institute for Environmental Studies (IVM), VU University Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
Peter H. Verburg
Environmental Geography group, Institute for Environmental Studies (IVM), VU University Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
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Cited
15 citations as recorded by crossref.
- Global land cover trajectories and transitions T. Radwan et al. 10.1038/s41598-021-92256-2
- Temporal and spatial changes to cropland cover on the Korean Peninsula over the past millennium M. Li et al. 10.1007/s10113-024-02309-1
- Per Capita Cropland Estimations for Traditional Agricultural Areas of China over Past Millennium M. Li et al. 10.3390/land13081122
- Suitability of the Lower Ganga basin groundwater for irrigation, using hydrogeochemical parameters and land-use dynamics M. Hasan & A. Rai 10.1007/s11356-022-24708-9
- Evaluation of Global Historical Cropland Datasets with Regional Historical Evidence and Remotely Sensed Satellite Data from the Xinjiang Area of China M. Li et al. 10.3390/rs14174226
- Land cover changes and their determinants in the coral rag ecosystem of the South District of Unguja, Zanzibar K. Mohamed & B. Salome 10.5897/JENE2018.0693
- Impact of cropland displacement on the potential crop production in China: a multi-scale analysis B. Yang et al. 10.1007/s10113-020-01690-x
- Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images Y. Chen et al. 10.1038/s41598-019-40063-1
- The food we eat, the air we breathe: a review of the fine particulate matter-induced air quality health impacts of the global food system S. Balasubramanian et al. 10.1088/1748-9326/ac065f
- Insights on the historical and emerging global land cover changes: The case of ESA-CCI-LC datasets A. Mousivand & J. Arsanjani 10.1016/j.apgeog.2019.03.010
- Using Shapley additive explanations to interpret extreme gradient boosting predictions of grassland degradation in Xilingol, China R. Wieland et al. 10.5194/gmd-14-1493-2021
- Land cover and fire accounts to support Indigenous land management: A pilot study of Yawuru Country A. Normyle et al. 10.1016/j.jenvman.2022.115003
- Medium Spatial Resolution Mapping of Global Land Cover and Land Cover Change Across Multiple Decades From Landsat M. Friedl et al. 10.3389/frsen.2022.894571
- Integrated assessment of the supply–demand relationship of ecosystem services in the Loess Plateau during 1992–2015 D. Wang et al. 10.1080/20964129.2022.2130093
- Contextualizing local landscape initiatives in global change: a scenario study for the high forest zone, Ghana S. Wolff et al. 10.1007/s10113-020-01701-x
14 citations as recorded by crossref.
- Global land cover trajectories and transitions T. Radwan et al. 10.1038/s41598-021-92256-2
- Temporal and spatial changes to cropland cover on the Korean Peninsula over the past millennium M. Li et al. 10.1007/s10113-024-02309-1
- Per Capita Cropland Estimations for Traditional Agricultural Areas of China over Past Millennium M. Li et al. 10.3390/land13081122
- Suitability of the Lower Ganga basin groundwater for irrigation, using hydrogeochemical parameters and land-use dynamics M. Hasan & A. Rai 10.1007/s11356-022-24708-9
- Evaluation of Global Historical Cropland Datasets with Regional Historical Evidence and Remotely Sensed Satellite Data from the Xinjiang Area of China M. Li et al. 10.3390/rs14174226
- Land cover changes and their determinants in the coral rag ecosystem of the South District of Unguja, Zanzibar K. Mohamed & B. Salome 10.5897/JENE2018.0693
- Impact of cropland displacement on the potential crop production in China: a multi-scale analysis B. Yang et al. 10.1007/s10113-020-01690-x
- Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images Y. Chen et al. 10.1038/s41598-019-40063-1
- The food we eat, the air we breathe: a review of the fine particulate matter-induced air quality health impacts of the global food system S. Balasubramanian et al. 10.1088/1748-9326/ac065f
- Insights on the historical and emerging global land cover changes: The case of ESA-CCI-LC datasets A. Mousivand & J. Arsanjani 10.1016/j.apgeog.2019.03.010
- Using Shapley additive explanations to interpret extreme gradient boosting predictions of grassland degradation in Xilingol, China R. Wieland et al. 10.5194/gmd-14-1493-2021
- Land cover and fire accounts to support Indigenous land management: A pilot study of Yawuru Country A. Normyle et al. 10.1016/j.jenvman.2022.115003
- Medium Spatial Resolution Mapping of Global Land Cover and Land Cover Change Across Multiple Decades From Landsat M. Friedl et al. 10.3389/frsen.2022.894571
- Integrated assessment of the supply–demand relationship of ecosystem services in the Loess Plateau during 1992–2015 D. Wang et al. 10.1080/20964129.2022.2130093
Latest update: 20 Nov 2024
Short summary
We analysed current global land change dynamics based on high-resolution (30–100 m) remote sensing products. We integrated these empirical data into a future simulation model to assess global land change dynamics in the future (2000 to 2040). The consideration of empirically derived land change dynamics in future models led globally to ca. 50 % more land changes than currently assumed in state-of-the-art models. This impacts the results of other global change studies (e.g. climate change).
We analysed current global land change dynamics based on high-resolution (30–100 m) remote...
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