ASABE Technical Library - Abstract

Abstract.

While there have been attempts to combine economic, environmental, and social impacts using modeling at smaller scales (farm level, regional), the majority of these modeling methods remain static, are site-specific, and do not exhibit the capacity for translating the results to a larger global scale. Alternatively, several triple bottom line frameworks have emerged with an emphasis on sustainable development through the use of systems thinking. Though frameworks are capable of providing valuable global perspective, their complexity often makes it difficult to translate results back to smaller scales. Review of literature shows that while integrated models and frameworks exist for animal production there are significant gaps in how to combine these methods for a more comprehensive understanding of exchanges that occur within systems on all scales over space, time. These gaps can partially be explained by the use of integrated which varies considerably both between and within different model and framework methodologies. In both cases, an additional issue in understanding relationships between systems stems from the numerous choices available for designating metrics and the subsequent interpretation of these within the context of different priorities. Using triple bottom line metrics with the capacity to extend beyond static states, we begin to understand changes resulting from localized decisions and their implications throughout an entire system and take a first step towards bridging the gap. This paper examines how components of different methodologies might be “integrated” by combining the needs and goals made at the farm level (modeling) with global needs and long term goals (framework) using a dynamic systems approach applied to the pig sector.