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Evolution of the Blue Ridge Escarpment
East of Boone, NC
Edward McDonald
Introduction
The Blue Ridge Escarpment (BRE) is located in the Appalachian
Mountains of the eastern United States, spanning the states of North
Carolina, South Carolina, and Georgia. It marks a rapid transition from low to
high elevation, separating the coastal plain to the east and the Appalachian
Plateau to the west, an elevation change that varies from 300 to 600 m
(Prince, 2010). The high elevation ridge of the escarpment forms the eastern
continental divide, which drains water west into the Gulf of Mexico, and east
into the Atlantic Ocean. This divide is asymmetric, with a generally linear
shape and localized areas of increased headward erosion, moving west into
the escarpment.
Great escarpments are a common feature, existing along 1/3 of the
world’s passive margins (Prince et. al, 2010). They are formed by rift-flank
uplift during tectonically active periods. When a rift develops within
continental plates, they spread apart, generating a rift zone. The topography
from the original continental plates remains on the periphery of growing rift
zones, and eventually results in areas of high topography adjacent to
oceanic basins.
When tectonic activity ceases, fluvial and colluvial systems take
control of the system, seeking equilibrium with base level. Escarpments at
different phases of erosion vary from .3 to 1 km in elevation (Prince et. al,
2010). In the case of the Blue Ridge Escarpment (BRE), this erosion is driving
the escarpment slowly west.
This study aims to concentrate on the hydrology and morphology of
the escarpment east of Boone, NC. By studying and describing the hydrologic
erosive records of streams, we will understand what evidence is present to
explain how and why the escarpment is migrating. The evidence found in
this small scale study could refute, confirm, or tell us little about the
predominant theories of BRE migration.
Background
When tectonic activity ceases along passive margins such as the BRE,
fluvial and colluvial networks begin processes of erosion and deposition. By
expanding and developing stream networks, these forces transport sediment
loads towards equilibrium (Prince et. al, 2011). The behavior of these
escarpments during this time period is difficult to understand because,
despite their apparent similarity as geomorphic structures, they can behave
quite differently. Variations can be seen both in how long escarpments
actively migrate and how quickly they do so. For example, the southeastern
Australia escarpment (Persano et. al, 2002) and southwestern Africa
escarpment (Gilchrist et. al, 1994) have not experienced significant
migration since rifting. Migration of these escarpments ceased ~70 Ma years
ago lasting ~30 Ma years (Persano et. al, 2002; Gilchrist et. al, 1994).
Meanwhile, the BRE (Spotila et. al, 2004) and southeastern Brazil
escarpment (Gallagher et al., 1994) continued actively migrating further into
their development for as long as 250 Ma years. The rate of exhumation for
the BRE and southeastern Australia escarpment are approximately the same
(Spotila et. al, 2004; Persano et. al, 2002), and yet the BRE has preserved a
much steeper, youthful topography. This is difficult to explain, because the
BRE is 200 M. yr. older and should be more equilibrated than the Australian
escarpment (Prince, 2010).
The concavity of profiles of the BRE drainage networks may represent
an equilibrated system, shifting only with external forcing mechanisms such
as climate, isostatic unloading, or resumed tectonic activity. In this case, the
drainage networks would maintain equilibrium, unless some regional,
systematic perturbations occur. Profiles would achieve a concave up profile,
and any variations would be systematic throughout the escarpment. The
profile’s concavity could also be the result of an internal variable, in which
case the topography will adjust transiently. Transient adjustment will result
in localized variations of concavity. If this is true, catchments are controlled
locally by heterogeneous internal characteristics, such as drainage geometry
or lithology, which will be reflected in various ways throughout the
escarpment.
Determining if the landscape is equilibrated or transient will help
contribute to the understanding of nontectonic denudation and
sedimentation (Prince, 2011). The driving forces behind the migration of
these escarpments remain unknown. In the broader context of
geomorphology, study and interpretation of profile concavity can help us
understand landscape response in a post-orogenic setting, and how erosional
mechanisms are distributed through space and time.
Thermo-chronologic data sets give us approximations for long term
timing of the retreat of escarpments, but are not detailed and precise
enough to develop a complex understanding of the full evolutionary history.
They target larger timescales and magnitudes that do not indicate the
internal or external nature of continued escarpment behavior (Prince, 2011).
Studies have found escarpments such as the southeastern Australia
escarpment (Persano et al., 2002) had phases of initial rapid erosion that
slowed, while others, including the BRE (Spotila, 2004) and southeastern
Brazil escarpment (Gallagher et al., 2004), have had continued late-stage
retreat. Further thermo-chronologic data indicates that typical topography of
escarpments ceases to exhume sediment within 30-40 Ma years, while the
BRE is ~200 Ma years old and shows exhumation as recently as 20 Ma years
ago (Gunnell et. al, 2010). The youthful topography of the BRE indicates
some post-orogenic erosional energy must have been introduced, to drive
the continued exhumation of sediment. The question remains whether it is
from an internal or external source. Because there are multiple escarpments
that have undergone this late-stage retreat (i.e. BRE and Brazil escarpment),
we have reason to believe it could be the result of an internal forcing
mechanism. These thermo-chronologic experiments provide a long term
understanding of escarpments and a need for targeted field study of
erosional trends to determine the mechanisms of rejuvenation on these
shorter time scales (Prince, 2011).
Analysis of sediment provenance and location in first order streams of
the BRE indicates that erosional mechanisms are not controlled by changes
in lithology and strength (Prince et. al, 2011). Multiple studies have agreed
that the evolution of the BRE landscape depends little on the underlying
lithological units. This is mostly evident because the eroding streams seem
to not be controlled by these variable subsurface conditions (Gallen, 2011;
Prince, 2010). The gradient and location of knickpoints also fails to follow
lithological transitions (Gallen, 2011). Since erosion is controlled by a
balance of resistive and erosive forces, the unexplained variable seems to
manifest as a change in erosional potential.
One study points towards external sources, specifically tectonic
rejuvenation, as a source of this new potential (Gallen et. al, 2013). By
comparing changes in drainage steepness both east and west of the
escarpment, the study found comparable forces maintaining the landscape
on either side of the escarpment (Gallen et. al, 2013). This could imply some
post-orogenic force, released by isostatic unloading, which would periodically
raise the erosive potential of the entire escarpment, and create knickpoints
that are observed (Gallen, 2013). An older study attempted to correlate
tectonic reactivation of the local Brevard fault zone in Virginia and North
Carolina (White, 1950), but it was contradicted by others, which claim
erosional evidence is not large enough to indicate this reactivation (Spotila
et. al, 2004).
There is a strong body of research that supports an internal transient
variable maintaining topography. Localized behavior of the westward
evolution of gorges into relict plateaus indicates some kind of internal
variable driving evolution of a landscape, because it displays great spatial
variability (Prince et. al, 2011.) Gorges gradually erode headwardly, carving
into the escarpment, leaving behind narrow, high elevation plateaus of the
relict Appalachian Plateau. Some gorges, immediately adjacent and similar
to others, are able to erode much further west, past the escarpment. The
local differences in behaviors amongst gorges of the BRE (Springer et al.,
1997; Granger et al., 2001; Hancock and Kirwan, 2007) indicate an internal
variable because it does not affect the adjacent profiles equally. For
instance, if the variable were external, such as rejuvenating tectonic activity
or climate change, it would affect immediately local erosion similarly.
Streams in the east draining Roanoke Basin and west flowing New River
Basin have displayed a particularly extreme spatial variation in erosion rates
(Prince et. al, 2011), allowing some gorges to progress westward much more
rapidly than others, pointing towards some internal variable still playing out
its role in the landscape.
The BRE exists in a climate where erosional forces are driven
principally by fluvial and colluvial mechanisms. Variation in drainage network
shape, size, and orientation with regard to the continental divide also
controls how these systems migrate over time. Drainage rearrangement is a
predominant theory to explain the internal variability controlling this
migration (Prince, 2010). Drainage rearrangement is the transfer of a
drainage area from one watershed to another. Headwardly eroding streams
intersect, cut off, and capture the flow of another drainage system. This new
potential flow path diverts the flow, greatly increasing the upstream drainage
area and erosive potential of the initially headwardly eroding stream. The
diversion can happen very quickly or gradually, depending on the geometry
of the captured watershed, and how quickly it is reincorporated in a new
direction (Bishop, 1995).
This illustration shows how headwardly eroding streams capture and divert watersheds East off of the escarpment. The process occurs repeatedly over time, and gorges indicating the behavior will come in and out of existence, at various points in the cycle.(Prince et. al, 2010)
In the case of the BRE, drainage capture would indicate east flowing streams headwardly
eroding gorges into the BRE, which sporadically capture west flowing streams, as shown in the
illustration above. Eastern flowing streams eroding into the steep escarpment have been capable
of reaching and capturing watersheds which previously drained to the west and the Gulf of
Mexico (Prince, 2010). This increased energy potential, caused by additional drainage area, is
redirected to the east. This could be a major factor causing the streams to incise more rapidly and
increase the rate of erosion atop the escarpment. Because of the variation in stream geometry and
locations available for capture, capture events will be sporadic and transient, determined by the
pre-existing geometry of streams. These punctuated events, and subsequent erasure of
topographic evidence, could explain a transient behavior of the escarpment.
Networks which are incorporating captured energy from relief create reflecting patterns
of knickpoints, which have been recently studied (Crosby and Whipple, 2005; Harkins et al.,
2007.) A reflecting pattern of knickpoints is when one tributary downstream in the network has a
knickpoint which gradually moves up and becomes present in all tributaries upstream of that
point. The knickpoints in these situations migrate horizontally through connected tributary
networks, seeking equilibrium wherever they can. They tend to maintain their vertical elevation.
Because of this, knickpoints created by stream capture can be identified by their common-
elevation reflection through tributary networks, which indicates the elevation of original capture.
Methods
Three primary methods were applied to test the equilibrium and erosional mechanisms of
the BRE in this area. First, digital elevation models (DEM) of the area were examined for
topographic features, including streams, waterfalls, buttes and relict sections of plateau east of
the escarpment. The drainage networks identified flowed east down the escarpment, where active
erosion would be occurring. Second, longitudinal profiles of five stream networks flowing East
off of the escarpment were generated. Multiple tributary profiles were generated for each
network. These profiles were studied in the context of their watersheds and junctions to study
concavity and its implications of equilibrium throughout the streams. Third, maps of both
bedrock lithology and faults were examined. Changes in lithology and faults were compared to
the location of observed knickpoints, since either could potentially cause the disturbance in the
profile.
Topographic Analysis
We began the study with USGS quads of the study area, from Boone, Deep Gap,
Glendale Springs, Maple Springs, and Horse Gap. We identified five drainage networks on the
escarpment, all of which had tributaries reaching or passing the crest of the escarpment, and
identified local geographic features to reference. Once the study area of east flowing streams was
established, Light Detection and Ranging (LIDAR) Elevation Grids were downloaded for GIS
analysis from the NC Department of Transportation for Watauga, Ashe, and Wilkes County.
These LIDAR files were converted to feature classes using the 3D-Analyst toolbox in
ArcCatalog. The 3D-Analyst toolbox was then used to create new terrain files and digital
elevation models (DEM) from the feature classes. The three counties were then mosaicked
together using ArcMap 10.1. Using this elevation model, we observed the incision of the
drainage networks for unique buttes and gorges.
Longitudinal Profiles
Our method for generating profiles was based on methods developed by Whipple
(Whipple et al., 2007) and Richardson (and Richardson, 2013.) The DEM data was first filled, to
get rid of any “holes” which would distort the approximations of accumulation. ArcMap found
and eliminated any pixels with negative or 0 elevation. Then, based off of the slope, flow
direction and flow accumulation rasters were developed using the spatial analyst toolbar. Their
accumulation rasters was adjusted until it illustrated the streams on our observable maps
(Whipple et al., 2007.) This meant approximating the level of precipitation in our area, until it
matched with the stream networks we can see in the field.
At this point, we began to use new methods developed by Richardson, utilizing the new
ArcHydro Tools 2.0 provided by ESRI. We used the stream definition tool on our accumulation
raster. The stream to feature tool in ArcHydro Tools was then used to create shapefiles out of
these defined streams. The 3D line tool allowed us to assign z-axis coordinates to our shapefiles,
which were exported to Excel using the Arc3D Profiler Toolbar.
These profiles were examined for changes in concavity, and evidence of knickpoints. We
noted whenever knickpoints of similar elevation were found reflected through a connected
stream network.
Lithological and Fault Analysis
Characteristic shape files of NC bedrock and faulting were downloaded from USGS
statewide geologic maps database. These were then clipped to our study area and compared to
our map of knickpoints, to determine whether lithological changes and fault variations play some
role in creating our observed knickpoints. We noted each knickpoint near a lithological
transition, as well as the type of transition. We also noted if any knickpoints were located near
faults.
Results
Topographic Analysis
Our observation of topographic maps allowed us to target five primary drainage networks
on the BRE east of Boone, NC. These were labelled and studied based on the name of their
headwater tributary, going NE to SW: Wildcat Creek, Osborne Creek, Stanley Branch, North
Prong Lewis Fork, and Stone Creek (figure 1). Five primary tributaries were defined for each
drainage network, chosen based on how far they extended into the escarpment. They are
numbered 1-5 in each catchment. Wildcat, Osborne, and Stanley connect off of the escarpment,
eventually reaching the Kerr Scott Reservoir in the NE. North Prong Lewis Fork and Stone
Creek connect and drain to Rhodhis Lake in the SW. There are evident abandoned buttes and
gorges, which can be seen in the light brown branching arms of high elevation, and the low
elevation dark brown gorges of the digital elevation model (figure 1).
The three northern catchments (Wildcat Creek, Osborne Creek, and Stanley Branch) have
gorges at ~280 m. The two southern catchments (North Prong Lewis Fork and Stone Creek) have
gorges at ~320 m. The two southern catchments have unique buttes at ~600 m.
fig. #1
This map shows the study area, identified stream networks, and their headwaters.
Longitudinal Profiles
The longitudinal profiles contained a number of knickpoints. Though high in number,
these knickpoints demonstrate few trends (figures 2-6). They are often very subtle, and occur at
intermediate elevations, not atop the escarpment. The only significant trend amongst knickpoints
occurs in the North Prong Lewis Fork profiles. All five tributaries have separate knickpoints
occurring at ~600 m.
0 5000 10000 15000 20000200
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550
600 Wildcat Branch Profiles
Wildcat Branch Profile 1Wildcat Branch Profile 2Wildcat Branch Profile 3Wildcat Branch Profile 4Wildcat Branch Profile 5
Profiles to Common Point (m)
Elevation (
m)
fig #2
Wildcat Branch contained four knickpoints. Tributaries 1 and 3 have a shared point at 376 m. Tributary 2 has a point at 382 m. Tributary 4 has two points at 410 and 490 m. Only the 410 m point was distinct.
0 5000 10000 15000 20000200
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600
650
700 Osborne Creek Profiles
Osborne Creek Profile 1Osborne Creek Profile 2Osborne Creek Profile 3Osborne Creek Profile 4Osborne Creek Profile 5
Profiles to Common Point (m)
Elevation (
m)
fig #3
Osborne Creek contained two knickpoints. All of the profiles shared a point at 297 m. Tributary 5 has a point at 545 m.
0.00 5000.00 10000.00 15000.00 20000.00 25000.00200
300
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Stanley Branch Profile 1Stanley Branch Profile 2Stanley Branch Profile 3Stanley Branch Profile 4Stanley Branch Profile 5
Profiles to Common Point (m)
Elevation (
m)
fig. #4
Stanley Branch contained four knickpoints. Tributary 1 had points at 523 m and 792 m. Tributary 4 had a point at 559 m. Tributary 5 had the only distinct point at 364 m.
0 2000 4000 6000 8000 10000 12000 14000 16000 18000200
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North Prong Profile 3
North Prong Profile 2
North Prong Profile 5
North Prong Profile 1
North Prong Profile 4
Profiles to Common Point (m)
Elevation (
m)
fig. #5
The North Prong contained 7 knickpoints. All of the tributaries shared a point at 371 m. Tributaries 1 and 3 share a point at 518 m. Tributary 2 has a point at 578 m. Tributary 3 has a point at 628 m. Tributary 4 has a point at 603 m. Tributary 5 has two points at 595m and 509 m.
0 2000 4000 6000 8000 10000 120000
200
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800
1000
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1400 Stoney Creek Profiles
Soney Creek Profile 1
Stoney Creek Profile 2
Stoney Creek Profile 3
Stoney Creek Profile 4
Stoney Creek Profile 5
Profiles to Common Point (m)
Elevation (
m)
fig. #6
Stone Creek contained four knickpoints. Tributaries 1, 2, 3, 4, and 5 shared a point at 390 m. Tributaries 1, 2, 3, and 4 shared two points at 526 m and 600 m. Tributary 5 has a point at 582 m.
Lithological and Fault Analysis
While there were no knickpoints located close to faults, some did lie in close proximity to
lithological changes. These are marked by white spots on figure 7. The 297 m knick in Osborne
Creek lies on a transition from gneiss to metasedimentary rock. The 382 m knick in Wildcat
Creek lies on a transition from gneiss to quartz diorite. The 490 m knick in Wildcat Creek lies on
a transition from granitic gneiss to gneiss. The 410 m knick in Wildcat Creek lies on a transition
from gneiss to quartz diorite.
fig. #7
This map illustrates the bedrock geology of the study area. Catchment areas are illustrated, and points indicate knickpoints along the profiles.
EPCrestQ=2.47 h2.50
Equation 1. Discharge rate
N
Discussion
Our data suggests erosional forces actively working throughout the BRE, but the trends in
profiles are not strong enough to conclusively determine the root cause as internal or external
force. Numerous knickpoints with no relationship to lithology do indicate recent landscape
rejuvenation seeking equilibrium. We only see one instance of similar elevation knickpoints
reflected through connected tributaries. This occurs at ~600 m in all five North Prong Lewis
Fork profiles (figure 5). The clarity of knickpoint migration at similar elevations indicates some
form of transient erosion, at an intermediate elevation. It is transient because we see no similar
behavior in adjacent catchment areas.
Unlike other studies observing knickpoint migration on the BRE (Richardson, 2013,
Prince, 2010), our knickpoints were at more intermediate elevations (578-628 m), instead of atop
the escarpment. This would suggest that, while the BRE is maintaining its prominent elevation
elsewhere, some locations (including the North Prong of Lewis Fork) adjust transiently to
significantly lower elevations. The most significant instances of intermediate elevation
knickpoints exists in the North Prong Lewis Fork Profiles. Profiles 1-5 have a reflected
knickpoint at approximately 600m (figure 5). This may suggest that a capture event occurred in
this network at 600m, upstream of where it joins Stone Creek, reflecting rejuvenation solely in
the lower elevation reaches of the North Prong of Lewis Fork.
Our results found that, while lithological controls did not account for all of our knicks,
some points did lie over lithological transitions. This is clearly apparent in Wildcat and Osborne
Creek. Most of the knickpoints in both of these catchment areas lie directly on lithological
transitions. This indicates that these catchment areas may not be experiencing rejuvenation, or
Q=2.47 h2.50
Equation 1. Discharge rate
have already transitioned to an equilibrated state. This is contrary to most research, which
contradicts lithological dependence of faults along the BRE.
The topographic analysis of the BRE reveals stream profiles with no significant or
systematic high elevation knickzones throughout the study area. This result may indicate that the
remnant high elevation escarpment has transitioned from transience to equilibrium. Meanwhile,
the North Prong of Lewis Fork demonstrates a transient catchment, reflecting erosive
rejuvenation at ~600 m through an intermediate elevation knickzone network in all five
tributaries. Seemingly lithologically controlled and simple concave up profiles of Stone Creek
and Wildcat Creek indicate catchments which have achieved continuous equilibrium within the
study area.
Conclusions
Our study within the BRE details how transience is currently reflected in stream profiles.
This transience, preserved in the concavity of stream networks, indicates new and significant
behavior in the long term pattern of escarpment retreat. Profiles in the north (Stone Creek and
Wildcat Creek) demonstrate catchments of equilibrated erosion, and concavity influenced by
lithologic erodability. Because this is so heavily contested in literature, it warrants further field
analysis to provide verification of digital analysis. These catchments are a good example of why
it is difficult to understand the driving mechanisms of escarpment evolution. While transient
signals could have influenced these catchments historically, the evidence has simply been
removed. We observe the abandoned buttes and gorges indicating headward erosion, but are
unable to observe relevant patterns differentiating them in different networks at high elevations.
Locations of more recent or active stream capture need to be observed to determine its
Q=2.47 h2.50
Equation 1. Discharge rate
importance in the migration of the escarpment. The North Prong of Lewis Fork provides our best
indication a reflected knickzone in a transient tributary network. This knickzone, however, only
accounts for intermediate rejuvenation of the escarpment. This is a new process in our
understanding of how the escarpment migrates, because transient erosive signals now show the
potential to adjust to lower elevations, instead of maintaining a constant elevation atop the
escarpment.
In the future, drainage networks to the north and south of this study area should be
studied. Indications of transient erosion could be anywhere along the escarpment. The Linville
Gorge are, in particular, to the south, represents a significant amount of erosive action. It would
be interesting to study the extent of this erosion, and where it is demonstrates equilibrated or
transient profiles.
Q=2.47 h2.50
Equation 1. Discharge rate
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