Scale and the representation of human agency in the modeling of agroecosystems

Benjamin L. Preston, Anthony W. King, Kathleen M. Ernst, Syeda Mariya Absar, Sujithkumar Surendran Nair, Esther S. Parish

Research output: Contribution to journalReview articlepeer-review

20 Scopus citations

Abstract

Human agency is a critical determinant of the dynamics of agroecosystems. However, the manner in which agency is represented within different approaches to agroecosystem modeling is largely contingent on the scales of analysis and the conceptualization of the system of interest. While appropriate at times, narrow conceptualizations of agroecosystems can preclude consideration for how agency manifests at different scales, thereby marginalizing processes, feedbacks, and constraints that would otherwise affect model results. Modifications to the existing modeling toolkit may therefore enable more holistic representations of human agency. Model integration can assist with the development of multi-scale agroecosystem modeling frameworks that capture different aspects of agency. In addition, expanding the use of socioeconomic scenarios and stakeholder participation can assist in explicitly defining context-dependent elements of scale and agency. Such approaches, however, should be accompanied by greater recognition of the meta agency of model users and the need for more critical evaluation of model selection and application.

Original languageEnglish
Pages (from-to)239-249
Number of pages11
JournalCurrent Opinion in Environmental Sustainability
Volume14
DOIs
StatePublished - Jun 1 2015

Funding

This research was sponsored by the U.S. Department of Energy, Office of Science, Biological and Environment Research, Integrated Assessment Program under project ERKP719 . This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).

FundersFunder number
Biological and Environment ResearchERKP719
U.S. Department of Energy
Office of Science

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