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Philosophical Transactions of the Royal Society B Biological Sciences
Article . 2012 . Peer-reviewed
License: Royal Society Data Sharing and Accessibility
Data sources: Crossref
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From actors to agents in socio-ecological systems models

Authors: Rounsevell, M. D. A.; Robinson, D. T.; Murray-Rust, D.;

From actors to agents in socio-ecological systems models

Abstract

The ecosystem service concept has emphasized the role of people within socio-ecological systems (SESs). In this paper, we review and discuss alternative ways of representing people, their behaviour and decision-making processes in SES models using an agent-based modelling (ABM) approach. We also explore how ABM can be empirically grounded using information from social survey. The capacity for ABM to be generalized beyond case studies represents a crucial next step in modelling SESs, although this comes with considerable intellectual challenges. We propose the notion of human functional types, as an analogy of plant functional types, to support the expansion (scaling) of ABM to larger areas. The expansion of scope also implies the need to represent institutional agents in SES models in order to account for alternative governance structures and policy feedbacks. Further development in the coupling of human-environment systems would contribute considerably to better application and use of the ecosystem service concept.

Country
Germany
Related Organizations
Keywords

info:eu-repo/classification/ddc/550, 550, ddc:550, Data Collection, Decision Making, Models, Theoretical, Earth sciences, Animals, Humans, Social Behavior, Ecosystem

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
147
Top 1%
Top 10%
Top 1%
Green
bronze