Modeling of natural and social capital on farms: Toward useable integration
Abstract
In a world of increasing population and decreasing availability of arable land, the need to maintain and
improve the quality of our farm systems is a clear and pressing one. Considerations of different types of
capital give us a more holistic picture of whatis at stake. Our decision-making mechanisms and tools must
seek to integrate alltypes of capital,includingnatural andsocial capital,if we are to sustainlong-termfarm
performance. Modeling is one way to integrate this ‘expanded’ notion of capital. While farm modeling
is not a new concept, this paper reviews various types of models with the aims of determining which
is most suitable to demonstrate the effect of natural and social capital on farm risk, farm resilience, and
farm well-being. As an industry particularly vulnerable to extreme weather patterns and other ecological
hazards,the concepts of risk and resilience are criticalto sustain long-term farm well-being.Various types
of farm models are covered in this review, including land use cover and change, agent-based, statistical,
system dynamics, and participatory modeling. The paper also identifies key characteristics that assist in
modeling the effects of natural and social capital management. I conclude that an integrated, spatially
explicit, participatory, systems-based modeling process is suggested to usefully incorporate natural and
social capital effects on farm risk, resilience, and well-being. This approach can incorporate a whole
systems approach, capture system ‘leverage points’, and effectively involve affected stakeholders
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Ecological Modelling
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2099-12-31
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