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238   CHAPTER 8



           as well as along their boundaries, causing the surface   Published estimates of locking depths for the San
           velocities to deviate from the “rigid plate” requirement   Andreas Fault typically range from 0 to 25 km. However,
           of plate tectonics.                          locking depths are not known a priori and, therefore,
             In the case of southern California, the incorporation   must be inferred on the basis of seismicity, long-term
           of block rotations and the small-scale displacement dis-  geologic slip rates, deformation patterns at the surface,
           continuities associated with creep on and near major   or inferences about the rheology of the lithosphere.

           faults has provided a relatively good fi t to the available   Locking depths that fall significantly below the pre-
           geodetic data (Becker  et al., 2005; McCaffrey, 2005;   dicted depth of the brittle–ductile transition (8–15 km)
           Meade & Hager, 2005). A common way of evaluating   for a typical geotherm, or below the seismogenic layer,

           the fit of the models involves the calculation of residual   usually require some sort of explanation. In some cases,
           velocities, which represent the difference between the   slow slip rates on the faults have been used to infer
           modeled and observed values. An example of one of   relatively deep locking depths for some segments of the
           these comparisons is shown in Fig. 8.19d. In this applica-  San Andreas Fault (Meade & Hager, 2005; Titus et al.,
           tion, crustal blocks were chosen to minimize the resid-  2005). These and other studies illustrate how the choice
           uals, while still conforming to known boundary   of locking depth is directly related to inferences about
           conditions, such as the orientation of fault traces and   slip rates on or near major faults.
           the sense of slip on them. The comparison shows   Other reasons why geodetic and geologic slip rates
           that despite the improvement over some continuous   commonly differ may include inherent biases during
           models there are still areas of mismatch. In the Eastern   sampling or changes in the behavior of faults over time.
           California Shear Zone, for example, Meade & Hager   This latter possibility is especially important when the
           (2005) found that slip rates estimated using geodetic   effects of long-term, permanent strains are considered
           data and the results of block models are almost twice   (Jackson, 2004). Meade & Hager (2005) concluded that
                          −1
           as fast as the 2 mm a  geologic estimates (Beanland &   the differences between their calculated slip rates and
           Clark, 1994) for the past 10,000 years. A similar discrep-  geologic slip rates on faults might be explained by the
           ancy occurs on the San Jacinto Fault. In addition, the   time-dependent behavior of the fault system. In this
           modeled slip rates on the San Bernadino segment of the   interpretation, the San Bernadino segment of the San
           San Andreas Fault are much slower than geologically   Andreas Fault is less active now than it has been in the
           determined rates for the past 14,000 years. Finding ways   past. By contrast, the San Jacinto Fault and faults in the
           to explain and minimize these mismatches remains an   Eastern California Shear Zone are relatively more active
           important area of research.                  now compared with geologic estimates, possibly due to
             One possible explanation of why geodetic and geo-  the effects of earthquake clusters. This possibility high-
           logic rates commonly mismatch lies with the mechani-  lights the importance of combining geologic, geodetic,
           cal behavior of large faults and the vertical extent of   and seismologic information to better understand the
           brittle faulting within the lithosphere. Because slip on a   relationship between the short- and long-term (perma-
           fault plane near the surface is controlled by its frictional   nent) behaviors of faults.
           properties (Section 2.1.5), there is a tendency for faults   By incorporating elements of permanent deforma-
           to become stuck or locked for certain periods of time   tion into block rotation models, McCaffrey (2005) found
           (Section 8.5.2). This locking may result in elastic strain   that the largest blocks in the southwestern US, includ-
           rates that are evident in short-term geodetic data but   ing the Sierra Nevada–Great Valley and the eastern
           not in the long-term record of permanent displace-  Basin and Range Province, show approximately rigid
           ments (McCaffrey, 2005). To address this problem, inves-  behavior after all nonpermanent (elastic) strain has
           tigators utilize the concept of the  elastic locking depth   been removed from the data. Most of the blocks rotate

           (Savage & Burford, 1973). This depth is defined as the   about vertical axes at approximately the same rate as

           level below which there is a transition from localized   the Pacific plate (relative to North America), suggesting
           elastic strain accumulations on a fault plane to distrib-  that, locally, rotation rates are communicated from

           uted aseismic flow. The value of the parameter is related   block to block. This and several other properties of the
           directly to the mechanical strength of the fault and the   model support a plate tectonic-style description of
           geometry of deformation at the surface. Strong faults   deformation in the western USA, where the rotating
           and wide zones of surface deformation correspond to   blocks behave like microplates. Nevertheless, the
           deeper locking depths.                       problem of determining the mechanisms of the defor-
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