Articles | Volume 10, issue 4
https://doi.org/10.5194/esd-10-809-2019
© Author(s) 2019. 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-10-809-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Societal breakdown as an emergent property of large-scale behavioural models of land use change
Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology,
Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Bumsuk Seo
Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology,
Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
Mark Rounsevell
Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology,
Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany
School of Geosciences, University of Edinburgh, Edinburgh, EH8 9XP, UK
Viewed
Total article views: 6,789 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 May 2019)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
5,621 | 1,075 | 93 | 6,789 | 246 | 111 | 116 |
- HTML: 5,621
- PDF: 1,075
- XML: 93
- Total: 6,789
- Supplement: 246
- BibTeX: 111
- EndNote: 116
Total article views: 6,012 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Dec 2019)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
5,216 | 709 | 87 | 6,012 | 140 | 104 | 110 |
- HTML: 5,216
- PDF: 709
- XML: 87
- Total: 6,012
- Supplement: 140
- BibTeX: 104
- EndNote: 110
Total article views: 777 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 May 2019)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
405 | 366 | 6 | 777 | 106 | 7 | 6 |
- HTML: 405
- PDF: 366
- XML: 6
- Total: 777
- Supplement: 106
- BibTeX: 7
- EndNote: 6
Viewed (geographical distribution)
Total article views: 6,789 (including HTML, PDF, and XML)
Thereof 6,022 with geography defined
and 767 with unknown origin.
Total article views: 6,012 (including HTML, PDF, and XML)
Thereof 5,356 with geography defined
and 656 with unknown origin.
Total article views: 777 (including HTML, PDF, and XML)
Thereof 666 with geography defined
and 111 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
20 citations as recorded by crossref.
- Are agricultural commodity production systems at risk from local biodiversity loss? C. Maney et al. 10.1098/rsbl.2024.0283
- Food and nutrition security under global trade: a relation-driven agent-based global trade model J. Ge et al. 10.1098/rsos.201587
- Participatory assessment of critical thresholds for resilient and sustainable European farming systems W. Paas et al. 10.1016/j.jrurstud.2021.10.016
- Exploring the effects of protected area networks on the European land system A. Staccione et al. 10.1016/j.jenvman.2023.117741
- Identifying uncertainties in scenarios and models of socio-ecological systems in support of decision-making M. Rounsevell et al. 10.1016/j.oneear.2021.06.003
- Simulation modelling in bioeconomy: Unraveling trends, gaps, and insights through bibliometric analysis R. Heck et al. 10.1016/j.jclepro.2024.143497
- Modelling drivers of Brazilian agricultural change in a telecoupled world J. Millington et al. 10.1016/j.envsoft.2021.105024
- Perspectives of land evaluation of floodplains under conditions of aridification based on the assessment of ecosystem services D. Lóczy et al. 10.15201/hungeobull.69.3.1
- Using the Nature Futures Framework as a lens for developing plural land use scenarios for Europe for 2050 Y. Dou et al. 10.1016/j.gloenvcha.2023.102766
- How modelling paradigms affect simulated future land use change C. Brown et al. 10.5194/esd-12-211-2021
- Incorporating human behaviour into Earth system modelling B. Beckage et al. 10.1038/s41562-022-01478-5
- Trade-off decisions in ecosystem management for poverty alleviation M. Schaafsma et al. 10.1016/j.ecolecon.2021.107103
- Agent‐Based Modeling of Alternative Futures in the British Land Use System C. Brown et al. 10.1029/2022EF002905
- Toward quantification of the feasible potential of land-based carbon dioxide removal O. Perkins et al. 10.1016/j.oneear.2023.11.011
- How can social–ecological system models simulate the emergence of social–ecological crises? C. Brown et al. 10.1002/pan3.10167
- Anticipation-induced social tipping: can the environment be stabilised by social dynamics? P. Müller et al. 10.1140/epjs/s11734-021-00011-5
- Modelling the bioeconomy: Emerging approaches to address policy needs A. Pyka et al. 10.1016/j.jclepro.2021.129801
- A Dynamic Network Model of Societal Complexity and Resilience Inspired by Tainter’s Theory of Collapse F. Schunck et al. 10.3390/e26020098
- Modelling Human-Fire Interactions: Combining Alternative Perspectives and Approaches A. Ford et al. 10.3389/fenvs.2021.649835
- Bioenergy in Europe is unlikely to make a timely contribution to climate change targets B. Seo et al. 10.1088/1748-9326/ad2d11
19 citations as recorded by crossref.
- Are agricultural commodity production systems at risk from local biodiversity loss? C. Maney et al. 10.1098/rsbl.2024.0283
- Food and nutrition security under global trade: a relation-driven agent-based global trade model J. Ge et al. 10.1098/rsos.201587
- Participatory assessment of critical thresholds for resilient and sustainable European farming systems W. Paas et al. 10.1016/j.jrurstud.2021.10.016
- Exploring the effects of protected area networks on the European land system A. Staccione et al. 10.1016/j.jenvman.2023.117741
- Identifying uncertainties in scenarios and models of socio-ecological systems in support of decision-making M. Rounsevell et al. 10.1016/j.oneear.2021.06.003
- Simulation modelling in bioeconomy: Unraveling trends, gaps, and insights through bibliometric analysis R. Heck et al. 10.1016/j.jclepro.2024.143497
- Modelling drivers of Brazilian agricultural change in a telecoupled world J. Millington et al. 10.1016/j.envsoft.2021.105024
- Perspectives of land evaluation of floodplains under conditions of aridification based on the assessment of ecosystem services D. Lóczy et al. 10.15201/hungeobull.69.3.1
- Using the Nature Futures Framework as a lens for developing plural land use scenarios for Europe for 2050 Y. Dou et al. 10.1016/j.gloenvcha.2023.102766
- How modelling paradigms affect simulated future land use change C. Brown et al. 10.5194/esd-12-211-2021
- Incorporating human behaviour into Earth system modelling B. Beckage et al. 10.1038/s41562-022-01478-5
- Trade-off decisions in ecosystem management for poverty alleviation M. Schaafsma et al. 10.1016/j.ecolecon.2021.107103
- Agent‐Based Modeling of Alternative Futures in the British Land Use System C. Brown et al. 10.1029/2022EF002905
- Toward quantification of the feasible potential of land-based carbon dioxide removal O. Perkins et al. 10.1016/j.oneear.2023.11.011
- How can social–ecological system models simulate the emergence of social–ecological crises? C. Brown et al. 10.1002/pan3.10167
- Anticipation-induced social tipping: can the environment be stabilised by social dynamics? P. Müller et al. 10.1140/epjs/s11734-021-00011-5
- Modelling the bioeconomy: Emerging approaches to address policy needs A. Pyka et al. 10.1016/j.jclepro.2021.129801
- A Dynamic Network Model of Societal Complexity and Resilience Inspired by Tainter’s Theory of Collapse F. Schunck et al. 10.3390/e26020098
- Modelling Human-Fire Interactions: Combining Alternative Perspectives and Approaches A. Ford et al. 10.3389/fenvs.2021.649835
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
Concerns are growing that human activity will lead to social and environmental breakdown, but it is hard to anticipate when and where such breakdowns might occur. We developed a new model of land management decisions in Europe to explore possible future changes and found that decision-making that takes into account social and environmental conditions can produce unexpected outcomes that include societal breakdown in challenging conditions.
Concerns are growing that human activity will lead to social and environmental breakdown, but it...
Altmetrics
Final-revised paper
Preprint