Agent-based modeling in coupled human and natural systems (CHANS): lessons from a comparative analysis

Type Journal Article - Annals of the Association of American Geographers
Title Agent-based modeling in coupled human and natural systems (CHANS): lessons from a comparative analysis
Author(s)
Volume 104
Issue 4
Publication (Day/Month/Year) 2014
Page numbers 723-745
URL http://www.tandfonline.com/doi/abs/10.1080/00045608.2014.910085
Abstract
Coupled human and natural systems (CHANS) are characterized by many complex features, including feedback
loops, nonlinearity and thresholds, surprises, legacy effects and time lags, and resilience. Agent-based models
(ABMs) are powerful for handling such complexity in CHANS models, facilitating in-depth understanding of
CHANS dynamics. ABMs have been employed mostly on a site-specific basis, however. Little of this work provides
a common infrastructure with which CHANS researchers (especially nonmodeling experts) can comprehend,
compare, and envision CHANS processes and dynamics. We advance the science of CHANS by developing
a CHANS-oriented protocol based on the overview, design concepts, and details (ODD) framework to help
CHANS modelers and other researchers build, document, and compare CHANS-oriented ABMs. Using this
approach, we show how complex demographic decisions, environmental processes, and human–environment
interaction in CHANS can be represented and simulated in a relatively straightforward, standard way with
ABMs by focusing on a comparison of two world-renowned CHANS: the Wolong Nature Reserve in China and
the Chitwan National Park in Nepal. The four key lessons we learn from this cross-site comparison in relation
to CHANS models include how to represent agents and the landscape, the need for standardized modules
for CHANS ABMs, the impacts of scheduling on model outcomes, and precautions in interpreting “surprises”
in CHANS model outcomes. We conclude with a CHANS protocol in the hope of advancing the science of
CHANS.

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