Microsoft Word - SustainabilityReport_BCC.doc

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that it is worthwhile to investigate the use of more aggregated, simplified models to
provide qualitative “back-of-the-envelope” estimates of system response. Developing
valid yet simplified models is an inherently mathematical question. It is possible that the
forms of feedback inherent in certain component agricultural system models may be
amenable to simplification that produces results sufficient for general policy and
management comparisons.



  1. Mathematical themes
    Several consistent themes arise within the above examples. All these cases
    involve crossing scales and crossing domains. Consider the case of forest management:
    information on forest components presents itself at different scales such as insect
    dynamics operating at localized within-tree scale, dispersal over many kilometers, and
    weather, which is known at a much coarser resolution. Human management of forests
    operates at intermediate scales between individual trees and broad scale weather
    patterns. Similarly, different temporal responses are intertwined with spatial
    heterogeneity. In such cases, defining models at an appropriate level of aggregation
    across and within scales is a challenging mathematical modeling question.
    Issues of uncertainty arise when dealing with how to estimate parameters from
    variable and often sparse data sets. For example in agricultural systems, economic
    aspects of production are poorly characterized for some regions relative to others.
    Uncertainty in process and parameterization are common in sustainability examples
    including climate variability and human system responses arising from different political
    and policy decisions. In addition to the difficulty of taking into account effects of model
    uncertainty, a significant challenge remains in solving large scale stochastic problems.
    Recovery of overexploited fisheries is a dynamical transients problem that is
    poorly understood. The dynamics of climate systems in general have not been well
    incorporated into human system response and management for many components of
    sustainability. The estimation of uncertain population levels is a substantial problem in
    fisheries management and in the management of forest insect pests. Many components
    of sustainability involve linkages between dynamical systems operating on differing
    temporal and spatial scales and connecting these requires new approaches for
    multiscale modeling, a challenge for the study of such dynamical systems.

  2. Connecting with the communities
    4.1. Education
    Every student is exposed to mathematics throughout their education. A critical
    challenge in mathematics education is to draw the link between the abstractions of
    mathematics and its utility across many areas of science. Sustainability issues are
    therefore an excellent focal point around which to demonstrate the power of
    mathematics to students; sustainability-related topics provide pedagogically useful
    examples that can engage K-12 students. In addition, the use of sustainability examples
    in mathematics courses provides the further benefit of engaging youth to become more
    involved in helping to address the sustainability issues existing in the world today.
    Colleges and universities across North America have instituted a vast array of
    new courses, degrees and certificate programs involving sustainability. These programs
    could benefit from an explicit course on the mathematics of sustainability that may be

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