ti diffusion in quartz inclusions: implications for ...lewebb/papers/spear et al 2012...
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ORIGINAL PAPER
Ti diffusion in quartz inclusions: implications for metamorphictime scales
Frank S. Spear • Kyle T. Ashley • Laura E. Webb •
Jay B. Thomas
Received: 3 April 2012 / Accepted: 28 July 2012
� Springer-Verlag 2012
Abstract Quartz inclusions in garnet from samples col-
lected from the staurolite zone in central New England are
zoned in cathodoluminescence (CL). The CL intensity is
interpreted to be a proxy for Ti concentration and the
zoning attributed to Ti diffusion into the quartz grains
driven by Ti exchange between quartz and enclosing garnet
as a function of changing temperature. The CL zoning has
been interpreted using a numerical diffusion model to
constrain the time scales over which the diffusion has
occurred. Temperature–time histories are sensitive to the
presumed peak temperature but not to other model
parameters. The total time of the metamorphic heating and
cooling cycle from around 450 �C to the peak temperature
(550–600 �C) back to 450 �C is surprisingly short and
encompasses only 0.2–2 million years for peak tempera-
tures of 600–550 �C. The metamorphism was accompanied
by large-scale nappe and dome formation, and it is sug-
gested that this occurred as a consequence of in-sequence
thrusting resulting in a mid-crustal ductile duplex structure.
Keywords Cathodoluminescence � Quartz � Ti diffusion �Vermont metamorphism � TitaniQ
Introduction
Spear and Wark (2009) described the appearance of quartz
grains in cathodoluminescence (CL) images in rocks
crystallized at metamorphic grades ranging from the biotite
to the migmatite zone. They observed that in rocks of the
staurolite and staurolite–kyanite zones, quartz inclusions
within garnet (and staurolite) were typically zoned with
increasing CL intensity from the quartz core to the quartz–
garnet interface. They attributed this zoning to have been
caused by diffusion of Ti in quartz, driven by Ti–Si
exchange between quartz and enclosing garnet. Quartz
inclusions from all 15 of the staurolite-zone samples
examined revealed this type of zoning. In contrast, quartz
inclusions from lower-grade samples were unzoned, and
quartz inclusions from higher-grade samples displayed
either complex internal CL patterns, or were zoned with
decreasing CL intensity (and Ti contents) toward the
quartz–garnet interface.
The purpose of this paper is to present observations on
additional staurolite-zone samples and describe the results of
diffusion modeling of the zoning profiles. The objective of
this study is to constrain the time scales of the metamorphism
of these samples and to evaluate possible tectonic processes
that may have been responsible for these time scales.
Analytical methods
CL imaging and Ti analyses were performed on the
Cameca SX-100 electron microprobe at Rensselaer
Communicated by T. L. Grove.
F. S. Spear (&) � J. B. Thomas
Department of Earth and Environmental Sciences,
Rensselaer Polytechnic Institute, 110 8th Street,
Troy, NY 12180, USA
e-mail: [email protected]
K. T. Ashley
Department of Geosciences, 4044 Derring Hall, Virginia Tech,
Blacksburg, VA 24061, USA
L. E. Webb
Department of Geology, University of Vermont,
180 Colchester Avenue, Burlington, VT 05405, USA
123
Contrib Mineral Petrol
DOI 10.1007/s00410-012-0783-z
Polytechnic Institute following the methods described in
Spear and Wark (2009). CL images were collected with a
Gatan Mono-CL detector equipped with red, green, and
blue filters. The blue filter was used exclusively for the
images used in this study because of the linear relationship
between Ti concentration and CL emission at blue wave-
lengths (e.g. Wark and Spear 2005; Spear and Wark 2009;
Leeman et al. 2012). Ti analyses were collected on four
PET crystals simultaneously, yielding a precision of around
6–7 ppm for each spot analysis (Spear and Wark 2009).
Sample selection and modeling approach
Samples were selected for analysis from the authors’ col-
lections from east-central Vermont and west-central New
Hampshire after routine CL imaging of dozens of samples
from different metamorphic grades (e.g. Spear and Wark
2009). With the exception of sample TM-549, all are from
the staurolite or staurolite–kyanite zones (Table 1) and all
samples contain garnet with abundant quartz inclusions.
The approach to be followed in this paper is to present in
detail the zoning character and diffusion modeling results
from a single sample from eastern Vermont (79-149D) and
then to apply this method to diffusion profiles from the
entire suite of samples. Table 1 contains the complete list
of samples to be discussed and their locations.
Sample 79-149D is a metapelite from the Orfordville
belt of eastern Vermont and western New Hampshire
(Fig. 1. Also see Fig. 3 of Spear and Rumble 1986, for a
map showing the location of this sample). The assemblage
is garnet ? biotite ? staurolite ? kyanite ? muscovite ?
quartz ? plagioclase ? ilmenite ? monazite ? zircon.
Garnet preserves growth zoning of, from core to rim,
decreasing Mn and Ca and increasing Fe/Mg. The P–T path
calculated for this sample from garnet zoning shows an
episode of nearly isothermal loading followed by heating
with decompression (Spear and Rumble 1986, Fig. 7) with
a peak P–T conditions of 580 �C, 5.1 kbar.
Figure 2 shows a CL image of the garnet from this
sample at different scales (see also Spear and Wark 2009,
Figs. 1c, d, e; 6a, b, c). Quartz in the matrix is relatively
unzoned with Ti concentrations of 5–14 ppm. In contrast,
all of the quartz inclusions in the garnet are zoned with
increasing Ti content from core to rim. In addition, quartz
inclusions inside of staurolite are zoned similarly to those
in garnet, although not as cleanly and quartz inclusions in
kyanite from this sample are unzoned.
The Ti contents in one inclusion measured on the
electron probe range from 3 ppm to 14 ppm (Figs. 3, 6c of
Spear and Wark 2009) and correlate linearly with CL
intensity in the blue region, although the uncertainty in
these measurements is on the order of ±7 ppm (1 sigma).
Additional data supporting the correlation of CL intensity
in quartz in the blue region (ca. 415 nm wavelength) with
Ti concentration have been presented by Spear and Wark
(2009), Wark and Spear (2005), and Leeman et al. (2012).
Based on these studies, Ti will be assumed to be a linear
function of CL intensity in the blue region, thus enabling
rapid semi-quantitative assessment of the Ti zoning profiles
in quartz.
In contrast, CL images of quartz inclusions in garnet in
samples from other metamorphic grades display distinctly
different zoning. In garnet zone samples, quartz inclusions
are relatively unzoned (e.g. Fig. 2 of Spear and Wark
2009), and in sillimanite-zone and higher-grade samples,
quartz inclusions display complex internal textures and are
typically zoned with decreasing Ti contents toward the
garnet interface (e.g. Fig 8. of Spear and Wark 2009).
Two causes of the observed CL (i.e. Ti) zoning in quartz
are considered. In the first, prior to entrapment by garnet,
the quartz in the matrix is assumed to be zoned with lower
Ti cores and higher Ti rims. In the extreme, the rims might
have been step functions, although no such zoned quartz
Table 1 Sample locations and metamorphic grade
Sample Latitude Longitude Grade Peak T (C)a Peak P(Kb)a Assemblage
79-149 43.77335 -72.23648 St–Ky 580 ± 25 5–6 Qtz ? Pl ? Grt ? Bt ? Ms ? St ? Ky ? Ilm ? Mnz
TM-549 43.79511 -72.28250 Grt 480 ± 25 4–5 Qtz ? Grt ? Bt ? Ms ? Chl
TM-543 43.78847 -72.35205 St 555 ± 25 8–10 Qtz ? Pl ? Grt ? Bt ? Chl(r) ? Rt
TM-828 43.84327 -72.34288 St 575 ± 25 8–10 Qtz ? Pl ? Grt ? Bt ? Ms ? Rut ? Gra ? Tur
TM-732 43.79472 -72.39863 St 595 ± 25 7–9 Qtz ? Pl ? Grt ? Bt ? Ms ? Rut ? Ap ? Tur
TM-763 43.79333 -72.44711 St 550 ± 25 7–9 Qtz ? Pl ? Grt ? Bt ? Ms ? Chl ? Rt ? Ap
09SD08A 43.82659 -72.44454 St 550 ± 25 7–9 Qtz ? Pl ? Grt ? Bt ? Ms ? Rt
TM-675 43.80938 -72.50372 St 550 ± 25 7–9 Qtz ? Pl ? Grt ? Bt ? Ms ? Chl(r) ? Rt ? Gra ? Tur
BF-38B 43.18159 -72.35856 St 550 ± 16 3–5 Qtz ? Pl ? Grt ? Bt ? Ms ? St ? Ilm
a Peak P and T sources: Samples TM-xxx are from Menard and Spear (1994); sample 79-149D from Spear and Rumble (1986); sample BF-38B
from Spear and Wark (2009). Mineral abbreviations after Kretz (1983)
Contrib Mineral Petrol
123
grains are now observed in the matrix. Mechanisms for
producing quartz zoned in this fashion were discussed by
Spear and Wark (2009) and include (a) prograde reactions
and (b) recrystallization due to fabric reorientation. It is not
expected that pre-garnet prograde reactions could have
produced quartz zoned with increasing Ti concentrations
toward the rim because matrix quartz in garnet- and sub-
garnet-grade samples shows no such zoning and the first
major quartz-producing reaction experienced by these
rocks is the staurolite-in reaction (garnet ? chlorite ?
muscovite = staurolite ? biotite ? quartz ? H2O). It is
still possible that quartz recrystallization as a result of
strain could produce pre-garnet rims of higher Ti concen-
trations, but again evidence for this in lower-grade samples
is lacking.
The second cause considered is that the pre-garnet
quartz grains were relatively homogeneous with low Ti
concentrations on the order of 3–5 ppm, similar to the
Fig. 1 Geologic sketch map of
a part of eastern Vermont and
western New Hampshire
showing location of samples
studied with the exception of
BF-38B, which is described by
Spear and Wark (2009) and
located in Spear et al. (1995).
Diamonds with numbers are
locations of samples from Wing
et al. (2003) discussed in the
text with monazite ages shown.
Inset shows general location of
study area
Fig. 2 CL images of sample
79-149D. a Low-magnification
image showing garnet (black)
and distribution of quartz
inclusions. Box shows location
of (b). b CL image showing
zoning in quartz inclusions.
Box shows location of Fig. 3a
Contrib Mineral Petrol
123
cores of the quartz inclusions in garnet, with the Ti con-
centration governed by the local TiO2 activity. Sample
79-149D contains ilmenite in the matrix and as inclusions
in garnet, so it is expected that the activity of TiO2 was
close to 1.0 (Ghent and Stout, 1984). The interior of the
quartz at the time of garnet overgrowth was not necessarily
in equilibrium with the rim as garnet nucleation is believed
to have occurred at around 500 �C (Spear and Rumble
1986), whereas the Ti concentration of the quartz interiors,
which ranges from 3 to 5 ppm in both matrix and inclusion
grains, reflects a temperature of approximately 350–400 �C
at around 5 kbar (calibration of Thomas et al. 2010). Once
garnet completely overgrew a quartz grain, equilibrium
with the matrix TiO2 activity is no longer relevant and is
replaced by exchange equilibria between garnet and quartz.
The substitution mechanism for the incorporation of Ti into
garnet is not known, so it is not possible to write a specific
exchange reaction and associated equilibrium constant.
However, garnet contains more Ti than coexisting quartz.
Analyses for Ti contents in garnet from sample 79-149D
using LA-ICPMS reveal concentrations ranging from ca.
60 ppm near the rim to 300 ppm near the core. Microprobe
analyses of garnet crystals examined in this study range up
to a thousand ppm Ti. Regardless of the nature of the
exchange reaction between garnet and quartz, the equilib-
rium constant for the reaction should approach 1.0 (equal
partitioning) with increasing temperature with the result
that the quartz rim should become more Ti-rich and the
adjacent garnet more Ti-poor with increasing metamorphic
grade. This exchange would set up a gradient in the quartz,
which would drive diffusion. The quartz rim would con-
tinue to become increasingly Ti-rich up to the metamorphic
peak, and the exchange would reverse on cooling. The final
zoning profile in the quartz would thus be a function of the
time-dependent composition of the quartz rim, the diffu-
sivity of Ti in quartz, and the temperature–time history.
Of these two mechanisms, the second is preferred in part
because of the reasons given above that argue for homo-
geneous quartz at the time of garnet growth, and in part
because of the symmetry of the Ti zoning in the inclusions.
In any case, the results of this study are not strongly
dependent on whether the pre-garnet quartz grains had step
functions in Ti concentration or were modified by the
exchange of Ti with the host garnet. In either case, the
present-day zoning profile is modified by diffusion over
length scales of less than 10 lm, which, as will be dis-
cussed below, requires quite rapid heating and cooling.
Ideally, the zoning profiles in quartz should be modeled
as Ti concentration versus distance. However, the linear
relationship between CL intensity in the blue spectrum and
Ti concentration provides a more sensitive, both spatially
and compositionally, approach. As can be seen in Fig. 3,
the linear correlation between CL intensity and Ti con-
centration permits the use of CL intensity as a proxy for Ti
concentration and permits the modeling of CL intensity
profiles directly. Although the scatter in Fig. 3b is
12,1011
97 5
3 4 4
7
11
25 µm
y = 0.1232x + 2.0649R2 = 0.80
0
2
4
6
8
10
12
14
0 10 20 30 40 50 60 70 80 90
0
2
4
6
8
10
12
14
0 10 20 30 40 50
CL Intensity (arbitrary scale)
Ti (
ppm
)T
i (pp
m)
Distance (µm)
(a)
(b)
(c)
Fig. 3 a CL image of quartz inclusion in garnet (sample 79-149D).
Bright spots are electron microprobe analytical spots with Ti (ppm)
indicated for each. Garnet host is anomalously bright (it should be
dark) because of secondary luminescence of oil on the CL mirror.
Rectangle shows location of zoning traverse in (c). b Plot showing CL
intensity (gray scale value) against measured Ti concentration. c Plot
of Ti zoning in the quartz inclusion in a based on calibration shown in
(b)
Contrib Mineral Petrol
123
relatively large, more detailed justification for this corre-
lation has been given by Wark and Spear (2005), Spear and
Wark (2009), and Leeman et al. (2012). The observed CL
intensity profile in many quartz inclusions is somewhat
asymmetric (Fig. 3c), as is the measured Ti profile, for
unknown reasons. Both sides of the profile are systematic
with respect to the garnet–quartz interface, and both sides
show an increase from core to rim to a maximum value,
then a decrease right at the rim. It should be noted in
Fig. 3a that garnet is the brightest phase in the image, even
though the luminescence is almost nil. This has occurred
because, at the time this CL image was collected, a thin
film of oil had contaminated the parabolic light focusing
mirror on the CL light finger. This oil luminesces in the
blue region and garnet is bright in this image because
backscattered electrons are activating the oil causing it to
luminesce (ilmenite luminesces even brighter in similar
images). This artifact was corrected by cleaning the mirror
but has the fortuitous advantage of showing exactly the
position of the garnet–quartz interface. It can be clearly
seen in Fig. 3a that a dark border, indicative of a decrease
in Ti concentration, mantles the edge of the quartz at the
garnet interface. This decrease is important in the modeling
as it is the change in concentration due to diffusion during
cooling.
Results
Figure 4 shows an example of the results of a diffusion
model of a CL zoning profile from a quartz grain from
sample 79-149D based on the assumptions inherent in the
second mechanism discussed above (initial conditions of
homogenous quartz of low Ti concentration included in
garnet). CL intensities were calculated as average pixel
intensities using ImageJ (Rasband 1997–2011) software
and a traverse width of typically 10 pixels. The diffusivities
measured by Cherniak et al. (2007) were incorporated into
a finite difference code using a linear geometry, fixed
boundary position, and boundary composition that changed
with temperature. The initial condition was that of an un-
zoned quartz grain with the composition of the core of the
grain. The CL intensity at the quartz–garnet interface was
modeled using an expression to mimic a partitioning
expression, namely:
Log(CL intensity) ¼ aþ b=T ð1Þ
The parameters a and b were fit by a two-point fit using
the core CL intensity with an assumed temperature of
quartz core formation (typically 450 �C) and the estimated
peak metamorphic temperature (Table 1) and an assumed
CL intensity at the quartz–garnet interface at the peak
temperature. This ‘‘peak CL intensity’’ is not known
because of diffusional modification on cooling, but was
adjusted as a model fit parameter. For example, for sample
79-149D with an assumed peak temperature of 600 �C
(Fig. 4a), the initial and ‘‘peak’’ CL intensities were taken
to be 28 CL units, 450 �C and 250 CL units, 600 �C,
respectively. In practice, it was discovered that the fit of the
model profile to the observed profile was quite sensitive to
the choice of the ‘‘peak’’ CL intensity, but the overall T–t
history was not. On the other hand, the overall T–t history
was found to be quite sensitive to the choice of the peak
metamorphic temperature. The fit of CL intensity with
temperature (Eq. 1) was adjusted depending on the
assumed peak metamorphic temperature. For example,
for the model in which the assumed peak temperature was
575 �C (Fig. 4b), the ‘‘peak CL intensity’’ was taken to be
250 CL units, 575 �C.
The three diffusion models in which the peak meta-
morphic temperature was assumed to be 600, 575, and
550 �C display equally good fits (Fig. 4). The only major
difference is the times scales for the metamorphic episode
(heating and cooling) of approximately 0.25 m.y., 0.5 m.y.,
and 1.0 m.y., respectively, for the three peak temperatures.
That is, the time scale approximately halves for every
25 �C increases in peak metamorphic temperature. Spear
and Rumble (1986) report the peak metamorphic temper-
ature for the southwest Orfordville quadrangle (NH and
VT) where sample 79-149D was collected as 580 ± 25 �C,
5.1 kbar, so the metamorphic time scale consistent with this
peak condition is on the order of 0.5 m.y.
Considerations regarding the diffusion model
Sources of possible error in the diffusion modeling are not
simple to evaluate. It is not believed that the diffusivities
measured by Cherniak et al. (2007) are significantly in
error unless a different mechanism operates in the natural
samples compared with the experimental study. The
Cherniak et al. (2007) experiments were conducted dry,
and it is possible that diffusion under hydrous conditions
such as those found in an evolving schist might be faster.
This possibility is difficult to evaluate, but if diffusivities
were faster it would only serve to shorten the time scales of
metamorphism. It is expected that Ti diffusion in garnet is
slower than that in quartz, especially if a coupled substi-
tution in garnet is required. If Ti diffusion in garnet is
infinitely slow, this raises the question whether equilibrium
between garnet and quartz inclusion could be maintained.
Clearly, it is based on the observed pervasiveness of zoned
quartz inclusions. What is required is that the flux out of
garnet equals the flux into quartz. Inasmuch as garnet may
contain several hundred ppm Ti, compared with 5–20 in
quartz, the flux balance would require only a very small
shell of garnet to exchange with the quartz, so it is not
Contrib Mineral Petrol
123
likely that diffusion in garnet has limited the diffusion
observed in quartz. Even if it had to some extent, the dif-
fusion models are not dependent on a priori assumptions
about the partitioning of Ti between quartz and garnet, but
rather on the geometric shape of the zoning profile in
quartz (see ‘‘peak’’ lines in Fig. 4). The major determining
factor in generating a good fit to the diffusion profile is the
penetration distance of the diffusion profile (e.g. around
5–6 lm in Fig. 4), which, coupled with the peak meta-
morphic temperature, determines the time scale for profile
development.
The alternative mechanism for generating the zoning
profiles (mechanism 1 discussed above) has as the initial
condition a step function in the quartz inclusion. The initial
400
450
500
550
600
T C
Time (m.y.)
Peak T = 550 C
400
450
500
550
600
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7
T C
Time (m.y.)
Peak T = 575 C
0.00
50.00
100.00
150.00
200.00
250.00
Radius microns
CL
inte
nsity
79-149d
Peak T = 550 C
0.00
50.00
100.00
150.00
200.00
250.00
Radius microns
CL
inte
nsity
79-149d
Peak T = 575 C
400
450
500
550
600
T C
Time (m.y.)
Peak T = 600 C
0 0.2 0.4 0.6 0.8 1 1.2 1.40.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0
0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0
0 0.05 0.1 0.15 0.2 0.25 0.30.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0
Radius microns
CL
inte
nsity
79-149dPeak T = 600 C
0.00
50.00
100.00
150.00
200.00
250.00(a)
(c)
(e)
(b)
(d)
(f)
Fig. 4 Results of diffusion models for Ti diffusion in quartz from
sample 79-149D assuming peak temperatures of 600 �C (a, b),
575 �C (c, d) and 550 �C (e, f). (a, c, e) Plots of CL intensity versus
distance. Dashed line shows assumed profile at the peak temperature.
Solid line shows the final calculated profile. b, d, f Temperature–time
plots for each of the diffusion models. Note the scale difference along
the time axis
Contrib Mineral Petrol
123
step would need to be symmetrical around a quartz grain
(not a likely possibility), and the length of the step would
need to have been on the order of the midpoint of the
diffusion profile (e.g. around 3–5 lm). Although diffusion
models involving this geometry were not attempted, the
time scale for the development of the final profile would
have to be shorter than with the preferred model because
the length scale for diffusion is only around half of that
with the preferred model.
It should also be noted that the linear temperature–time
histories used in the model experiments are unrealistic and
considerations of heat flow would suggest that any realistic
T–t history should be curved concave downward somewhat
like a parabola. Models with this type of T–t history were
not attempted, but it is clear that such models would result
in even shorter time scales for the same peak temperature
because the time the rock would spend near the peak
temperature would be larger than with the linear models.
Thus, the results presented here utilize the more conser-
vative temperature–time paths.
Other samples
CL zoning profiles from quartz inclusions in garnet from
samples collected along a traverse across the Strafford
Dome in eastern Vermont (see Fig. 1 for locations) and
from a single staurolite-grade sample from New Hampshire
are shown in Fig. 5, and temperature–time plots from the
diffusion modeling are shown in Fig. 6. With the exception
of the single garnet zone sample (TM-549), which shows
little or no zoning, all samples have similar length scales
for diffusion of around 5–10 lm. The temperature–time
plots indicate metamorphic time scales of 0.1–2 m.y., and
the major reason for the difference in time scales is the
differences in peak metamorphic temperatures, which
range from around 550–600 �C (Table 1). The single
sample from New Hampshire (BF-38B) has a similar time
scale of 1.5 m.y. If the results of the diffusion modeling are
taken at face value, then the time scales for metamorphism
across this segment of Vermont must have varied by an
order of magnitude for all diffusion profiles to have similar
length scales. The shortest duration, as well as the highest
peak metamorphic temperature, is recorded by the sample
from the core of the Strafford Dome (TM-732), and it is
possible that this sample did, in fact, experience a shorter
metamorphic heating–cooling cycle by virtue of its struc-
tural setting. For example, it may have experienced rapid
burial and subsequent exhumation during dome formation,
whereas samples on the flanks of the dome were heated and
cooled more slowly as limited by heat conduction. Alter-
natively, it is certainly possible that the estimates of
the metamorphic temperature, which were made using
garnet–biotite thermometry and are only accurate to ca.
±25–30 �C, actually are much more similar than reported.
Further work refining the peak temperatures should help
resolve this issue.
Discussion
Metamorphic heating and cooling cycles of 2 m.y or less
are rapid and somewhat unanticipated for this Barrovian
terrane where the models of England and Thompson (1984)
for continental collision would suggest a time scale of tens
of millions of years. However, other recent studies have
reached similar conclusions based on independent meth-
ods. Dachs and Proyer (2002) concluded from a study of
diffusional relaxation of Mn zoning profiles in garnet that
the total time elapsed following formation of the garnet
overgrowth (below the metamorphic peak of 570 �C) to
around 450 �C was 1 m.y. or less, based on their finite
difference diffusion modeling. They conclude that this
required very rapid exhumation rates of 4.6–7.4 cm/year,
but it also required rapid heating to the metamorphic peak
as well. A similar rapid heating–cooling cycle was reported
by Ague and Baxter (2007) for samples from the classic
Barrovian terrane in the Dalradian of Scotland based on
diffusion modeling of Sr zoning in apatite, and Viete et al.
(2011) argue for short (a few million years or less) thermal
pulses to explain Mn zoning profiles in garnet. Ague and
Baxter (2007) attribute the short thermal pulse to advective
heat transfer by magmas and associated fluid flow, and
Viete et al. (2011) also suggest that shear zones may play
a critical role in providing significant advective heat
transport.
Geochronologic studies have also suggested rapid time
scales for metamorphism. Exhumation at a rate of several
cm/year is required by data reported by Harrison et al.
(1997) and Catlos et al. (2001) for the Main Central Thrust
of the Central Himalaya, and similar rapid rates are
required for exhumation of eclogites in the Alps (Rubatto
and Hermann 2001; Smye et al. 2011) and the Papua New
Guinea eclogites (Baldwin et al. 2004).
Although the time scales inferred from our diffusion
studies are similar to those obtained for Barrovian meta-
morphism in the Dalradian (e.g. Ague and Baxter 2007;
Viete et al. 2011), thermal pulses due to magmas or fluids
only are not likely in Vermont. No evidence of such plu-
tons is evident in the immediate geology of the study area,
and those that do exist along strike are 10–30 m.y. older
than the presumed time of metamorphism based on mon-
azite ages (e.g. Wing et al. 2003). Furthermore, the P–T
paths of the Vermont samples display an episode of nearly
isothermal loading (e.g. Spear and Rumble 1986; Menard
and Spear 1994), which requires tectonic thickening for a
significant part of the P–T history. This thickening must
Contrib Mineral Petrol
123
have been rapid and involved placement of hot rocks above
cooler rocks to cause the rapid heating. Exhumation and
cooling must have followed immediately and may have
been caused by the rocks under study having been placed
onto cooler rocks. A possible kinematic scenario is a series
of in-sequence ductile thrust faults or shear zones in the
general form of a mid-crustal duplex structure.
Significantly, geochronologic studies in Vermont do not
provide any inklings about the rates of tectonic processes
because the duration of the heating and cooling revealed by
the diffusion study is shorter than the typical uncertainty
associated with age determinations. For example, monazite
ages from this area of Vermont from SIMS analyses have
been presented by Wing et al. (2003) and are shown in
Fig. 1. Well-crystallized monazites are found only above
the staurolite isograd and are interpreted to have formed
from the breakdown of allanite. Ages of three samples from
the staurolite–kyanite zone are 350–359, 335–383, and
347–367 Ma (Fig. 1). In contrast, the ages reported for
monazite from a chlorite zone sample are 309–338 Ma and
that monazite was poorly crystallized. The ages of the
staurolite–kyanite zone samples are all within error, and
even the best of the samples, which gave an average age of
352.9 ± 8.9 (2 sigma), has an error that is outside of the
entire metamorphic history recorded by the diffusion
modeling in this study. The younger ages recorded by the
chlorite zone sample are difficult to interpret without
additional study, but possibly indicate that a distinct
metamorphic heating–cooling cycle has affected these
rocks and may suggest that a significant post-metamorphic
fault separates them from the higher-grade rocks. In
another study, Janots et al. (2009) report ages of allanite
and monazite from the central Alps and interpret the age
difference of around 13 m.y. (31.5 and 18.5 Ma, respec-
tively) in terms of the duration of the metamorphic event.
However, their results are also consistent with a T–t history
that involves a short thermal spike at around 19 Ma
(to produce the monazite) imposed on a background
0
20
40
60
80
100
120
140
79-149D
0
20
40
60
80
100
120
140
160
180
200
0 5 10 15 20 25 0 5 10 15 20 25
TM-549
0
20
40
60
80
100
120
140
160
180
TM-543
0
50
100
150
200
250
0 5 10 15 20 25
0 5 10 15 20 25
0 5 10 15 20 25 0 5 10 15 20 25
TM-828A
0
50
100
150
200
250
0 5 10 15 20 25
TM-732
0
50
100
150
200
250
TM-763
0
50
100
150
200
250
0 5 10 15 20 25
TM-675
0
50
100
150
200
250
300
0 5 10 15 20 25
09SD08A
0
50
100
150
200
250
BF-38B
CL
Inte
nsity
(ar
bitr
ary
scal
e)
Distance (µm) Distance (µm) Distance (µm)
Fig. 5 Plots of CL intensity versus distance for the samples studied.
Horizontal scales are equal to facilitate comparison, whereas vertical(intensity) scales are not comparable. Note the similarities in length
scales for the CL zoning in all samples from the staurolite zone (e.g.
around 5 lm)
Contrib Mineral Petrol
123
metamorphic grade in the allanite stability field. The
implication is that, whereas accessory mineral geochro-
nology can serve to place the metamorphic event in an
absolute time scale and may also serve to differentiate
distinct metamorphic heating/cooling events, it cannot be
expected to resolve the relationships between metamor-
phism and tectonics at the same resolution possible from
diffusion studies. Obviously, there is considerable room for
substantial additional work using this potentially powerful
new method to estimate T–t histories in metamorphic
rocks.
Acknowledgments The authors wish to thank helpful discussions
with Daniele Cherniak, Bruce Watson, Michael Ackerson, Ben Hal-
lett, Kenny Horkley, and the able assistance of Dan Ruscitto with the
microprobe and LA-ICPMS. Thoughtful reviews by J. M. Ferry and J.
J. Ague are also gratefully acknowledged. This work was funded in
part by grants from the National Science Foundation (EAR-0948530
to Spear and Thomas and EAR-0948529 to Webb) and the Edward P.
Hamilton Distinguished Professor Chair at Rensselaer Polytechnic
Institute.
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20
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0 0.5 1 1.5 2 2.5 3 3.5 4
0
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Distance (µ m)
CL
Inte
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(ar
bitr
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scal
e) BF-38B2
350
400
450
500
550
600
650
Time (m.y.)
Time (m.y.)
Time (m.y.)
Fig. 6 Plots showing results of diffusion modeling of CL zoning for all samples from this study. a Observed and modeled CL versus distance
plots. Horizontal scales are equivalent. b Temperature–time plots. All results have been scaled the same to facilitate comparison
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