Socio-Ecological Modelling

landuse and model
Photo: A. Künzelmann, Graphic Design: G. Dreßler

Humans shape Earth’s ecosystems through a wide range of activities such as farming, mining, building of infrastructure or the declaration of protected areas. We use dynamic social-ecological modelling, in particular agent-based modelling, to enhance the understanding of connections between human behaviour and emerging land use patterns under different processes of global change. This approach allows taking into account micro-scale interactions of households, links between social and ecological system components, and cross-scale effects of global policies (through their locally installed instruments) on local land use strategies.

Suitable policies which lead to sustainable land use practices can only be derived if humans are represented in simulation models in an appropriate way, e.g. considering their social contexts and their cognitive abilities. Therefore, a particular focus of our group lies on the adequate representation of human decision making in agent-based models of natural resource use and its theoretical and empirical foundation.

Selected Publications

  • Surun, C., Drechsler, M., (2018):
    Effectiveness of tradable permits for the conservation of metacommunities with two competing species
    Ecol. Econ. 147 , 189 - 196
    full text (url)
  • Drechsler, M., (2017):
    Performance of input- and output-based payments for the conservation of mobile species
    Ecol. Econ. 134 , 49 - 56
    full text (url)
  • Groeneveld, J., Müller, B., Buchmann, C.M., Dressler, G., Guo, C., Hase, N., Hoffmann, F., John, F., Klassert, C., Lauf, T., Liebelt, V., Nolzen, H., Pannicke, N., Schulze, J., Weise, H., Schwarz, N., (2017):
    Theoretical foundations of human decision-making in agent-based land use models – A review
    Environ. Modell. Softw. 87 , 39 - 48
    full text (url)
  • Müller, B., Johnson, L., Kreuer, D., (2017):
    Maladaptive outcomes of climate insurance in agriculture
    Glob. Environ. Change 46 , 23 - 33
    full text (url)
  • Schlüter, M., Baeza, A., Dressler, G., Frank, K., Groeneveld, J., Jager, W., Janssen, M.A., McAllister, R.R.J., Müller, B., Orach, K., Schwarz, N., Wijermans, N., (2017):
    A framework for mapping and comparing behavioural theories in models of social-ecological systems
    Ecol. Econ. 131 , 21 - 35
    full text (url)
  • Schulze, J., Gawel, E., Nolzen, H., Weise, H., Frank, K., (2017):
    The expansion of short rotation forestry: characterization of determinants with an agent-based land use model
    GCB Bioenergy 9 (6), 1042 - 1056
    full text (url)
  • Schulze, J., Müller, B., Groeneveld, J., Grimm, V., (2017):
    Agent-based modelling of social-ecological systems: achievements, challenges, and a way forward
    JASSS 20 (2), art. 8
    full text (url)
  • Dressler, G., Müller, B., Frank, K., Kuhlicke, C., (2016):
    Towards thresholds of disaster management performance under demographic change: exploring functional relationships using agent-based modeling
    Nat. Hazards Earth Syst. Sci. 16 (10), 2287 - 2301
    full text (url)
  • Wätzold, F., Drechsler, M., Johst, K., Mewes, M., Sturm, A., (2016):
    A novel, spatiotemporally explicit ecological-economic modeling procedure for the design of cost-effective agri-environment schemes to conserve biodiversity
    Am. J. Agr. Econ. 98 (2), 489 - 512
    full text (url)
  • Martin, R., Müller, B., Linstädter, A., Frank, K., (2014):
    How much climate change can pastoral livelihoods tolerate? Modelling rangeland use and evaluating risk
    Glob. Environ. Change 24 , 183 - 192
    full text (url)
  • Touza, J., Drechsler, M., Smart, J.C.R., Termansen, M., (2013):
    Emergence of cooperative behaviours in the management of mobile ecological resources
    Environ. Modell. Softw. 45 , 52 - 63
    full text (url)

Cooperation Partners