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GTAP Resources: Resource Display

GTAP Resource #6929

"The meso scale as a frontier in interdisciplinary modeling of sustainability from local to global scales"
by Johnson, Justin


Abstract
Achieving sustainable development requires understanding how human behavior and the environment interact across spatial scales. In particular, knowing how to manage tradeoffs between the environment and the economy, or between one spatial scale and another, necessitates a modeling approach that allows these different components to interact. Existing integrated local and global analyses provide key insights, but often fail to capture ‘meso-scale’ phenomena that operate at scales between the local and the global, leading to erroneous predictions and a constrained scope of analysis. Meso-scale phenomena are difficult to model because of their complexity and computational challenges, where adding additional scales can increase model run-time exponentially. These additions, however, are necessary to make models that include sufficient detail for policy-makers to assess tradeoffs. Here, we synthesize research that explicitly includes meso-scale phenomena and assess where further efforts might be fruitful in improving our predictions and expanding the scope of questions that sustainability science can answer. We emphasize five categories of models relevant to sustainability science, including biophysical models, integrated assessment models, land-use change models, earth-economy models and spatial downscaling models. We outline the technical and methodological challenges present in these areas of research and discuss seven directions for future research that will improve coverage of meso-scale effects. Additionally, we provide a specific worked example that shows the challenges present, and possible solutions, for modeling meso-scale phenomena in integrated earth-economy models.


Resource Details (Export Citation) GTAP Keywords
Category: 2023 Conference Paper
Status: Published
By/In: Presented during the 26th Annual Conference on Global Economic Analysis (Bordeaux, France)
Date: 2023
Version:
Created: Johnson, J. (4/14/2023)
Updated: Johnson, J. (4/14/2023)
Visits: 199
- Advances in quantitative methods
- Ecosystem services and biodiversity
- Environmental policies
- Land use


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