A scientific understanding of complex environmental
systems typically requires studies ranging from well controlled laboratory
studies that are overly simplistic, up to field studies that embody the
full complexity of the system, but for which we lack adequate control or
detail.
In the processes of simplifying systems for laboratory studies, we extract from the "big picture" a subset of all the processes that are occurring (process isolation). We formulate a mechanistic description of the these processes (conceptual model formulation). Finally, we test our conceptual model (experimentation). Results from the experimentation step either verify (fail to disprove) our description, or else suggest revision of the conceptual model.
As our understanding of basic processes becomes more complete we begin to composite processes, and our need for more complex experimental systems increases. We proceed through a series of "diagnostic stepping stones", whereby we incrementally increase the level of experimental complexity (number and types of significant processes). Eventually, we reach a level at which our conceptual model breaks down, and we are forced to revise it. It is through this stepwise increase in complexity that we begin to tease out the interactions between multiple processes that occurs in "real-world" systems. Unfortunately, the current laboratory methodologies for studying sediment biogeochemistry fail to provide systems that are sufficiently complex to incorporate the physical processes that occur within dynamically reworked sediments.
Current laboratory methodologies (intermediate steps) include:
The primary utility in RALF is not the acquisition of biogeochemical
or physical parameters for direct use in field-scale models. Rather,
we see RALF as complimenting an existing set of diagnostic tools (numerical
models and laboratory methodologies), allowing us to begin to explore the
complex coupling of physics to the biogeochemistry in dynamically reowrked
sediments.
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