Sander van der Leeuw
- Peter H. Verburg, John A. Dearing, James G. Dyke, Sander van der Leeuw, Sybil Seitzinger, Will Steffen, James Syvitski. 2015. Methods and approaches to modelling the Anthropocene. Global Environmental Change ... Abstract:
The ‘Anthropocene’ concept provides a conceptual framework that encapsulates the current global situation in which society has an ever-greater dominating influence on Earth System functioning. Simulation models used to understand earth system dynamics provide early warning, scenario analysis and evaluation of environmental management and policies. This paper aims to assess the extent to which current models represent the Anthropocene and suggest ways forward. Current models do not fully reflect the typical characteristics of the Anthropocene, such as societal influences and interactions with natural processes, feedbacks and system dynamics, tele-connections, tipping points, thresholds and regime shifts. Based on an analysis of current model representations of Anthropocene dynamics, we identify ways to enhance the role of modeling tools to better help us understand Anthropocene dynamics and address sustainability issues arising from them. To explore sustainable futures (‘safe and operating spaces’), social processes and anthropogenic drivers of biophysical processes must be incorporated, to allow for a spectrum of potential impacts and responses at different societal levels. In this context, model development can play a major role in reconciling the different epistemologies of the disciplines that need to collaborate to capture changes in the functioning of socio-ecological systems. Feedbacks between system functioning and underlying endogenous drivers should be represented, rather than assuming the drivers to be exogenous to the modelled system or stationary in time and space. While global scale assessments are important, the global scale dynamics need to be connected to local realities and vice versa. The diversity of stakeholders and potential questions requires a diversification of models, avoiding the convergence towards single models that are able to answer a wide range of questions, but without sufficient specificity. The novel concept of the Anthropocene can help to develop innovative model representations and model architectures that are better suited to assist in designing sustainable solutions targeted at the users of the models and model results.
- Keywords: Complex system models; Simulation; Scenarios; Feedbacks; Emergence; Socio-ecological systems
Available online 29 August 2015
In Press, Corrected Proof — Note to users
Costanza, van der Leeuw, Hibbard, Aulenbach, Brewer, Burek, Cornell, Crumley, Dearing, Folke, Graumlich, Hegmon, Heckbert, Jackson, S.T, Kubiszewski, Scarborough, Sinclair, Sörlin, Steffen [Show abstract]: The challenges of modeling future socio-ecological states numerically suggest that qualitative understanding of system behavior should be further developed. The objective here is to identify and develop general principles of socio-ecological system behavior, supported by empirical evidence drawn from long records of regional environmental change. A few are deduced from historical case studies. But for others, we can take principles (often aphorisms) from theoretical ecology and complexity science and test their validity in the real world by comparison with historical records. Past records not only provide longer timescales than are conventionally available for observations, but also provide a larger array of socio-ecological systems than currently exist. As a basic starting point, here are some principles drawn from the literature and discussions at IHOPE meetings that could be tested (or tested further) with archeological/ palaeoecological/historical records. The bullet points note variants on each theme, further explanations and implications.
Carlo Jaeger Patrik Jansson Sander van der Leeuw Michael Resch J. David Tàbara. 2013. GSS: Towards a Research Program for Global Systems Science. Second Open Global Systems Science Conference.
- Google Scholar
- Sustainability home ASU
- Sander van der Leeuw home
- [Talk at Oct 2013 SFI Business Symposium big-data-meets-big-theory
- van der Leeuw, Sander E. 2009. Complexity Perspectives in Innovation and Social Change. D.Lane, D.Pumain, S. van der Leeuw and G.West (eds). Berlin: Springer (Methodos series).
- van der Leeuw, Sander E., David Lane and Dwight Read. 2009. The Long-Term Evolution of Social Organization. Chapter 3 of Complexity Perspectives in Innovation and Social Change. D.Lane, D.Pumain, S. van der Leeuw and G.West (eds). Berlin: Springer (Methodos series).
- van der Leeuw, Sander E. 2008. Climate and society: lessons from the past 10,000 years. AMBIO A Journal of the Human Environment. Impact factor: 1.49, Cited half life: 8.2, Immediacy index: 0.78.
The Archaeology of Innovation: Seminars About Long-term Thinking A Monthly Seminar Series, Hosted by Stewart Brand
- Timothy A. Kohler, Sander van der Leeuw, eds. 2007. Model-Based Archaeology of Socionatural Systems. Santa Fe, NM: SAR. Amazon - Table of Contents
The Long Now Foundation's monthly Seminars were started in 02003 to build a compelling body of ideas about long-term thinking; to help nudge civilization toward our goal of making long-term thinking automatic and common instead of difficult and rare. SEE: It's ALL Gardening