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(Furlong et al., 1991; Johnson et al., 2011). These discrepancies can give<br />
information about the balance between convection and conduction, and may lead<br />
to a conclusion on the dominant mode <strong>of</strong> heat transfer. One may also consider<br />
the dynamic heat input from incremental pluton emplacement, chamber<br />
convection, and recharge events (e.g. Hanson and Barton, 1989; Bergantz,<br />
1991; Pignotta et al., 2010), which would all effectively elevate the maximum<br />
temperature achieved in the wall rock and drastically change the spatial range <strong>of</strong><br />
metamorphism (e.g. Turcotte and Schubert, 1982; Furlong et al., 1991; Stuwe,<br />
2002). Regardless, it is most beneficial to use conduction modeling for initial<br />
observations because 1) dependent variables for conduction are easily<br />
constrained, 2) using conduction modeling will give an end-member constraint on<br />
the rate <strong>of</strong> heating and possible isograd trends, and 3) it provides a simple yet<br />
realistic thermal behavior for a contact metamorphic zone (Bergantz, 1991).<br />
For precise modeling, where a solution is required near the contact<br />
between magma reservoir and wall rock, it is beneficial to correct for latent heat<br />
<strong>of</strong> fusion for the crystallizing magma body (e.g. Jaeger, 1961). A crystallizing<br />
granite can produce 400kJ Kg -1 °K -1 before the solidus is reached (e.g. Burnham<br />
and Nekvasil, 1986; Furlong et al., 1991). Additionally, endothermic metamorphic<br />
reactions, such as dehydration in pelites, can absorb 60 to 110kJ mol -1<br />
<strong>of</strong><br />
released H 2 O or CO 2 , depending on the particular reaction (e.g. Furlong et al.,<br />
1991). Applications <strong>of</strong> these components are discussed below and in Chapter 7.<br />
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