Models

When you are curious about our models, you find an alphabetical list with them here.
You are welcome to experiment with them and ask our team members for more details! Abbreviations: ABM = Agent-based model; SD = System dynamics

Models

Description

Publication(s)

Author

AgentEx
ABM
Common pool resource model that integrates behavioral experiments and ABM (mixed-method approach) to develop explanations about when and how cooperative and sustainable resource use behaviour occurs. Model-ComSES, Paper, Project Nanda Wijermans
Amu-ES
Stylized simulation
Model to investigate the emergence of the tradeoff between water use for irrigation and lake fisheries and its effect on the resilience of a river basin SES to fluctuations in water availability. Stylized model based on water use tradeoffs for different ecosystems services found in the Amudarya river basin in Uzbekistan. Schlüter, M., Leslie, H., Levin, S., 2009. Managing water-use trade-offs in a semi-arid river delta to sustain multiple ecosystem services: a modeling approach. ECOLOGICAL RESEARCH 24, 491–503.
Paper
Maja Schlüter
CP-norm
ABM
Model to investigate the robustness of norm-driven cooperation of harvesters of a common pool resource to resource fluctuations. Theoretical model based on evolutionary game theoretic model published in Tavoni et al. 2012. Schlüter, M., Tavoni, A., Levin, S., 2016. Robustness of norm-driven cooperation in the commons. Proceedings of the Royal Society B: Biological Sciences 283, 20152431. Paper, RepastJ git repository Maja Schlüter
FIBE
ABM

FIsher BEhaviour (FIBE) model’s aim is to reflect the different fishing behaviours as described and observed in the (Swedish) Baltic Sea fishery and explore the consequences of different approximations of human/fisher behaviour in under different environmental and managerial scenarios. It is made to advance the incorporation and understanding of human behaviour (diversity) in fisheries research and management. In particular, focusing on including/formalising insights from the social sciences.

Model-ComSES, Paper, Project Nanda Wijermans

FishMob
ABM

This model attempts to understand the general dynamics of fisher mobility for over larger spatial scales. The model can be used for investigating the complex interplay that exists between mobility and fish stock heterogeneity across regions, and the associated outcomes of mobility at the system level. Publication In Review.
Published model: E. Lindkvist (2020). “FishMob: Interactions between fisher mobility and spatial resource heterogeneity” (Version 1.0.0). CoMSES Computational Model Library. https://doi.org/10.25937/k7fx-cj36
Download at ComSES; Project page
Emilie Lindkvist

LimnoSES
SD, ABM

Simulation of pike fish in a shallow lake driven by nutrients from insufficient water sewage treatment. Analysis of time lags from lake restoration through regulation of private houseowners to improve their sewage system. System dynamics for ecology, ABM for social system. Based on regime shift theory and links to ecosystem service analyses. Martin, R. & Schlüter, M. Combining system dynamics and agent-based modeling to analyze social-ecological interactions – an example from modeling restoration of a shallow lake. Front. Environ. Sci. 3, (2015).
Paper, ComSES, NetLogo git repository, Project
Romina Martin

LimnoSES.jl
SD, ABM

Extension of LimnoSES which adds Vegetation to the shallow lake model and provides additional interventions (Planting, Trawling, Angling) for lake management. The tool now provides a deep lake model, multiple municipal agents, and a complex intervention planner. Work is ongoing to provide a complete governance layer to investigate various policy strategies. Git repository, Project Tim DuBois
PoliSEA
ABM
Model of a policy cycle, integrated with the dynamics of a simplified fishery social-ecological system. The political system includes industry and environmental interest groups that perceive information, lobby, form coalitions and attempt to influence policymakers; and policymakers who decide on the fishing quota. Interest groups can decide to lobby alone or in coalition, depending on their funding, their perception of state of the fish population or fishery income. git, ComSES Kirill Orach
Poverty Traps
Dynamical system model
Three dimensional, nonlinear dynamical system model represents intertwined dynamics of assets, phosphorus and soil quality or water. Analysis of position and number of attractors and corresponding basins of attraction can be used for testing efficiency of poverty alleviation strategies.   Sonja Radosavljevic
SMILI
ABM
A model to study the emergence of cooperative versus top-down self-governance arrangements in small-scale fisheries. Publication: Emilie Lindkvist, Xavier Basurto, Maja Schlüter (2017). Micro-level explanations for emergent patterns of self-governance arrangements in small-scale fisheries—a modeling approach. PLOS ONE. https://doi.org/10.1371/journal.pone.0175532
Project, ComSES
Emilie Lindkvist
SMILI-T
ABM
A model for exploring under which conditions a fishing community can transform from being dominated by fishers working under fish buyers towards cooperative arrangements. Publication – finalizing review process. Model will be published when the manuscript is in press. Emilie Lindkvist