A central property of any model is its limitations and the parts of reality it has left out. Some of the more detailed models described above already incorporate some of this complexity, at the cost of being less general. This reflects an important challenge in modeling: that of choosing a model with the right balance between realism and complexity on the one hand, and tractability, transparency, and computing requirements on the other. The level of complexity also has to reflect the purpose of the modeling exercise. It is often difficult to see which elements a simple model has omitted, what the potential consequences are, and how this limits the assertions one can make based on a model. The following list, by no means intended to be complete, provides a brief discussion of some factors that further influence fish growth.
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