Articles | Volume 8, issue 4
https://doi.org/10.5194/esd-8-977-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/esd-8-977-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review
| Highlight paper
| 
08 Nov 2017
Review | Highlight paper |
| 08 Nov 2017
Towards representing human behavior and decision making in Earth system models – an overview of techniques and approaches
Finn Müller-Hansen
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Department of Physics, Humboldt University Berlin, Newtonstraße 15, 12489 Berlin, Germany
Maja Schlüter
Stockholm Resilience Centre, Stockholm University, Kräftriket 2B, 114 19 Stockholm, Sweden
Michael Mäs
Department of Sociology and ICS, University of Groningen, Grote Rozenstraat 31, 9712 TG Groningen, the Netherlands
Jonathan F. Donges
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Stockholm Resilience Centre, Stockholm University, Kräftriket 2B, 114 19 Stockholm, Sweden
Jakob J. Kolb
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Department of Physics, Humboldt University Berlin, Newtonstraße 15, 12489 Berlin, Germany
Kirsten Thonicke
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Jobst Heitzig
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Viewed
Total article views: 10,335 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 6,675 | 3,416 | 244 | 10,335 | 205 | 240 |
- HTML: 6,675
- PDF: 3,416
- XML: 244
- Total: 10,335
- BibTeX: 205
- EndNote: 240
Total article views: 8,548 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Nov 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 5,943 | 2,401 | 204 | 8,548 | 185 | 200 |
- HTML: 5,943
- PDF: 2,401
- XML: 204
- Total: 8,548
- BibTeX: 185
- EndNote: 200
Total article views: 1,787 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 732 | 1,015 | 40 | 1,787 | 20 | 40 |
- HTML: 732
- PDF: 1,015
- XML: 40
- Total: 1,787
- BibTeX: 20
- EndNote: 40
Viewed (geographical distribution)
Total article views: 10,335 (including HTML, PDF, and XML)
Thereof 9,557 with geography defined
and 778 with unknown origin.
Total article views: 8,548 (including HTML, PDF, and XML)
Thereof 7,809 with geography defined
and 739 with unknown origin.
Total article views: 1,787 (including HTML, PDF, and XML)
Thereof 1,748 with geography defined
and 39 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
56 citations as recorded by crossref.
- HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al. 10.5194/hess-26-4773-2022
- Earth system modeling with endogenous and dynamic human societies: the copan:CORE open World–Earth modeling framework J. Donges et al. 10.5194/esd-11-395-2020
- Integrated human-earth system modeling—state of the science and future directions K. Calvin & B. Bond-Lamberty 10.1088/1748-9326/aac642
- Advancing the study of driving forces of landscape change M. Bürgi et al. 10.1080/1747423X.2022.2029599
- Mapping global patterns of land use decision-making Ž. Malek & P. Verburg 10.1016/j.gloenvcha.2020.102170
- Societal breakdown as an emergent property of large-scale behavioural models of land use change C. Brown et al. 10.5194/esd-10-809-2019
- Environmental impact and performance assessment of a new Zigbee‐based shotgun training system B. Ben Ali et al. 10.1002/eng2.12309
- Input-Output Models and Derived Indicators: A Critical Review A. Kolokontes et al. 10.47743/saeb-2019-0026
- Macroscopic approximation methods for the analysis of adaptive networked agent-based models: Example of a two-sector investment model J. Kolb et al. 10.1103/PhysRevE.102.042311
- On deeper human dimensions in Earth system analysis and modelling D. Gerten et al. 10.5194/esd-9-849-2018
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
- Agent-based modelling of socio-ecological systems: Models, projects and ontologies N. Gotts et al. 10.1016/j.ecocom.2018.07.007
- Adaptive dynamical networks R. Berner et al. 10.1016/j.physrep.2023.08.001
- How can social–ecological system models simulate the emergence of social–ecological crises? C. Brown et al. 10.1002/pan3.10167
- Editorial – Agent-Based Modelling for Resilience G. van Voorn et al. 10.1016/j.ecocom.2019.100775
- Using agent-based modelling to simulate social-ecological systems across scales M. Lippe et al. 10.1007/s10707-018-00337-8
- Beyond land cover change: towards a new generation of land use models P. Verburg et al. 10.1016/j.cosust.2019.05.002
- The Urban Observatory: A Multi-Modal Imaging Platform for the Study of Dynamics in Complex Urban Systems G. Dobler et al. 10.3390/rs13081426
- GMSE: An r package for generalised management strategy evaluation A. Duthie et al. 10.1111/2041-210X.13091
- Asymmetric adaptivity induces recurrent synchronization in complex networks M. Thiele et al. 10.1063/5.0128102
- Modelling the location and spatial pattern of a crop boom. A case study from Laos C. Ornetsmüller et al. 10.1016/j.envsci.2019.04.001
- Incorporating human behaviour into Earth system modelling B. Beckage et al. 10.1038/s41562-022-01478-5
- When conflicts get heated, so does the planet: coupled social-climate dynamics under inequality J. Menard et al. 10.1098/rspb.2021.1357
- Agricultural land use modeling and climate change adaptation: A reinforcement learning approach C. Stetter et al. 10.1002/aepp.13448
- Understanding integrated human-Earth system models as boundary objects: Enhancing credibility and interdisciplinary collaboration Ł. Pawluczuk & J. Heitzig 10.14512/gaia.33.1.4
- From lakes and glades to viability algorithms: automatic classification of system states according to the topology of sustainable management T. Kittel et al. 10.1140/epjs/s11734-021-00262-2
- Towards integration? Considering social aspects with large-scale computational models for nature-based solutions I. Schulte et al. 10.1017/sus.2023.26
- The Earth has humans, so why don’t our climate models? B. Beckage et al. 10.1007/s10584-020-02897-x
- How do substitutability and effort asymmetry change resource management in coupled natural-human systems? W. Oh & R. Muneepeerakul 10.1057/s41599-019-0289-7
- Land Use Effects on Climate: Current State, Recent Progress, and Emerging Topics J. Pongratz et al. 10.1007/s40641-021-00178-y
- Modeling, Replicating, and Predicting Human Behavior: A Survey A. Fuchs et al. 10.1145/3580492
- Can Intensification of Cattle Ranching Reduce Deforestation in the Amazon? Insights From an Agent-based Social-Ecological Model F. Müller-Hansen et al. 10.1016/j.ecolecon.2018.12.025
- Taxonomies for structuring models for World–Earth systems analysis of the Anthropocene: subsystems, their interactions and social–ecological feedback loops J. Donges et al. 10.5194/esd-12-1115-2021
- Assessing the influence of variation in forage availability on spatial patterns of beehive migration using a hybrid modelling approach – B-Agent V. Patel et al. 10.1016/j.apgeog.2023.103003
- Quantifying Climate Change Variability for the Better Management of Water Resources: The Case of Kobo Valley, Danakil Basin, Ethiopia M. Tesfaw et al. 10.3390/cli12100159
- Agent Mental Models and Bayesian Rules as a Tool to Create Opinion Dynamics Models A. Martins 10.3390/physics6030062
- Understanding of water resilience in the Anthropocene M. Falkenmark et al. 10.1016/j.hydroa.2018.100009
- Decision-making factors influencing land use transformation and its implication on forest landscape restoration in Ethiopia S. Eshetu et al. 10.1080/1747423X.2024.2386989
- Showcasing advances and building community in modeling for sustainability N. Selin et al. 10.1073/pnas.2215689121
- Coupling human dynamics with the physics of climate: a path towards Human Earth Systems Models F. Tapiador & A. Navarro 10.1088/2752-5295/ad7974
- Improving the Representation of Climate Change Adaptation Behaviour in New Zealand’s Forest Growing Sector G. Villamor et al. 10.3390/land11030364
- Anticipation-induced social tipping: can the environment be stabilised by social dynamics? P. Müller et al. 10.1140/epjs/s11734-021-00011-5
- Agent-based models of groundwater systems: A review of an emerging approach to simulate the interactions between groundwater and society M. Canales et al. 10.1016/j.envsoft.2024.105980
- Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output C. Troost et al. 10.1007/s10614-022-10276-0
- The physics of governance networks: critical transitions in contagion dynamics on multilayer adaptive networks with application to the sustainable use of renewable resources F. Geier et al. 10.1140/epjst/e2019-900120-4
- A modeling framework of a territorial socio-ecosystem to study the trajectories of change in agricultural phytosanitary practices A. Bourceret et al. 10.1016/j.ecolmodel.2024.110727
- A brief review of the coupled human-Earth system modeling: Current state and challenges J. Tan et al. 10.1177/20530196221149121
- Biodiversity models need to represent land‐use intensity more comprehensively I. Dullinger et al. 10.1111/geb.13289
- Deep reinforcement learning in World-Earth system models to discover sustainable management strategies F. Strnad et al. 10.1063/1.5124673
- MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change T. Yokohata et al. 10.5194/gmd-13-4713-2020
- Exploring the future of fishery conflict through narrative scenarios J. Spijkers et al. 10.1016/j.oneear.2021.02.004
- Local land-use decision-making in a global context Ž. Malek et al. 10.1088/1748-9326/ab309e
- Understanding human–water feedbacks of interventions in agricultural systems with agent based models: a review M. Alam et al. 10.1088/1748-9326/ac91e1
- Crop booms as regime shifts V. Junquera et al. 10.1098/rsos.231571
- Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) A. Navarro et al. 10.5194/esd-9-1045-2018
- Decomposition Analysis for the Comparison and the Comprehension of Conventional Input-Output Impacts’ Indicators: An Empirical Paradigm A. Kolokontes et al. 10.47743/saeb-2020-0011
54 citations as recorded by crossref.
- HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al. 10.5194/hess-26-4773-2022
- Earth system modeling with endogenous and dynamic human societies: the copan:CORE open World–Earth modeling framework J. Donges et al. 10.5194/esd-11-395-2020
- Integrated human-earth system modeling—state of the science and future directions K. Calvin & B. Bond-Lamberty 10.1088/1748-9326/aac642
- Advancing the study of driving forces of landscape change M. Bürgi et al. 10.1080/1747423X.2022.2029599
- Mapping global patterns of land use decision-making Ž. Malek & P. Verburg 10.1016/j.gloenvcha.2020.102170
- Societal breakdown as an emergent property of large-scale behavioural models of land use change C. Brown et al. 10.5194/esd-10-809-2019
- Environmental impact and performance assessment of a new Zigbee‐based shotgun training system B. Ben Ali et al. 10.1002/eng2.12309
- Input-Output Models and Derived Indicators: A Critical Review A. Kolokontes et al. 10.47743/saeb-2019-0026
- Macroscopic approximation methods for the analysis of adaptive networked agent-based models: Example of a two-sector investment model J. Kolb et al. 10.1103/PhysRevE.102.042311
- On deeper human dimensions in Earth system analysis and modelling D. Gerten et al. 10.5194/esd-9-849-2018
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
- Agent-based modelling of socio-ecological systems: Models, projects and ontologies N. Gotts et al. 10.1016/j.ecocom.2018.07.007
- Adaptive dynamical networks R. Berner et al. 10.1016/j.physrep.2023.08.001
- How can social–ecological system models simulate the emergence of social–ecological crises? C. Brown et al. 10.1002/pan3.10167
- Editorial – Agent-Based Modelling for Resilience G. van Voorn et al. 10.1016/j.ecocom.2019.100775
- Using agent-based modelling to simulate social-ecological systems across scales M. Lippe et al. 10.1007/s10707-018-00337-8
- Beyond land cover change: towards a new generation of land use models P. Verburg et al. 10.1016/j.cosust.2019.05.002
- The Urban Observatory: A Multi-Modal Imaging Platform for the Study of Dynamics in Complex Urban Systems G. Dobler et al. 10.3390/rs13081426
- GMSE: An r package for generalised management strategy evaluation A. Duthie et al. 10.1111/2041-210X.13091
- Asymmetric adaptivity induces recurrent synchronization in complex networks M. Thiele et al. 10.1063/5.0128102
- Modelling the location and spatial pattern of a crop boom. A case study from Laos C. Ornetsmüller et al. 10.1016/j.envsci.2019.04.001
- Incorporating human behaviour into Earth system modelling B. Beckage et al. 10.1038/s41562-022-01478-5
- When conflicts get heated, so does the planet: coupled social-climate dynamics under inequality J. Menard et al. 10.1098/rspb.2021.1357
- Agricultural land use modeling and climate change adaptation: A reinforcement learning approach C. Stetter et al. 10.1002/aepp.13448
- Understanding integrated human-Earth system models as boundary objects: Enhancing credibility and interdisciplinary collaboration Ł. Pawluczuk & J. Heitzig 10.14512/gaia.33.1.4
- From lakes and glades to viability algorithms: automatic classification of system states according to the topology of sustainable management T. Kittel et al. 10.1140/epjs/s11734-021-00262-2
- Towards integration? Considering social aspects with large-scale computational models for nature-based solutions I. Schulte et al. 10.1017/sus.2023.26
- The Earth has humans, so why don’t our climate models? B. Beckage et al. 10.1007/s10584-020-02897-x
- How do substitutability and effort asymmetry change resource management in coupled natural-human systems? W. Oh & R. Muneepeerakul 10.1057/s41599-019-0289-7
- Land Use Effects on Climate: Current State, Recent Progress, and Emerging Topics J. Pongratz et al. 10.1007/s40641-021-00178-y
- Modeling, Replicating, and Predicting Human Behavior: A Survey A. Fuchs et al. 10.1145/3580492
- Can Intensification of Cattle Ranching Reduce Deforestation in the Amazon? Insights From an Agent-based Social-Ecological Model F. Müller-Hansen et al. 10.1016/j.ecolecon.2018.12.025
- Taxonomies for structuring models for World–Earth systems analysis of the Anthropocene: subsystems, their interactions and social–ecological feedback loops J. Donges et al. 10.5194/esd-12-1115-2021
- Assessing the influence of variation in forage availability on spatial patterns of beehive migration using a hybrid modelling approach – B-Agent V. Patel et al. 10.1016/j.apgeog.2023.103003
- Quantifying Climate Change Variability for the Better Management of Water Resources: The Case of Kobo Valley, Danakil Basin, Ethiopia M. Tesfaw et al. 10.3390/cli12100159
- Agent Mental Models and Bayesian Rules as a Tool to Create Opinion Dynamics Models A. Martins 10.3390/physics6030062
- Understanding of water resilience in the Anthropocene M. Falkenmark et al. 10.1016/j.hydroa.2018.100009
- Decision-making factors influencing land use transformation and its implication on forest landscape restoration in Ethiopia S. Eshetu et al. 10.1080/1747423X.2024.2386989
- Showcasing advances and building community in modeling for sustainability N. Selin et al. 10.1073/pnas.2215689121
- Coupling human dynamics with the physics of climate: a path towards Human Earth Systems Models F. Tapiador & A. Navarro 10.1088/2752-5295/ad7974
- Improving the Representation of Climate Change Adaptation Behaviour in New Zealand’s Forest Growing Sector G. Villamor et al. 10.3390/land11030364
- Anticipation-induced social tipping: can the environment be stabilised by social dynamics? P. Müller et al. 10.1140/epjs/s11734-021-00011-5
- Agent-based models of groundwater systems: A review of an emerging approach to simulate the interactions between groundwater and society M. Canales et al. 10.1016/j.envsoft.2024.105980
- Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output C. Troost et al. 10.1007/s10614-022-10276-0
- The physics of governance networks: critical transitions in contagion dynamics on multilayer adaptive networks with application to the sustainable use of renewable resources F. Geier et al. 10.1140/epjst/e2019-900120-4
- A modeling framework of a territorial socio-ecosystem to study the trajectories of change in agricultural phytosanitary practices A. Bourceret et al. 10.1016/j.ecolmodel.2024.110727
- A brief review of the coupled human-Earth system modeling: Current state and challenges J. Tan et al. 10.1177/20530196221149121
- Biodiversity models need to represent land‐use intensity more comprehensively I. Dullinger et al. 10.1111/geb.13289
- Deep reinforcement learning in World-Earth system models to discover sustainable management strategies F. Strnad et al. 10.1063/1.5124673
- MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change T. Yokohata et al. 10.5194/gmd-13-4713-2020
- Exploring the future of fishery conflict through narrative scenarios J. Spijkers et al. 10.1016/j.oneear.2021.02.004
- Local land-use decision-making in a global context Ž. Malek et al. 10.1088/1748-9326/ab309e
- Understanding human–water feedbacks of interventions in agricultural systems with agent based models: a review M. Alam et al. 10.1088/1748-9326/ac91e1
- Crop booms as regime shifts V. Junquera et al. 10.1098/rsos.231571
2 citations as recorded by crossref.
- Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) A. Navarro et al. 10.5194/esd-9-1045-2018
- Decomposition Analysis for the Comparison and the Comprehension of Conventional Input-Output Impacts’ Indicators: An Empirical Paradigm A. Kolokontes et al. 10.47743/saeb-2020-0011
Discussed (preprint)
Latest update: 06 Nov 2024
Short summary
Today, human interactions with the Earth system lead to complex feedbacks between social and ecological dynamics. Modeling such feedbacks explicitly in Earth system models (ESMs) requires making assumptions about individual decision making and behavior, social interaction, and their aggregation. In this overview paper, we compare different modeling approaches and techniques and highlight important consequences of modeling assumptions. We illustrate them with examples from land-use modeling.
Today, human interactions with the Earth system lead to complex feedbacks between social and...
Altmetrics
Final-revised paper
Preprint