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1 Department of Geological and Environmental Sciences, Stanford University, Stanford, California 94305, USA
2 School of Earth and Space Exploration, Arizona State University, Tempe, Arizona 85287, USA
Correspondence: *E-mail:hilley{at}stanford.edu.
| ABSTRACT |
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Key Words: LiDAR data landscape development San Andreas fault hillslope response channel response
| INTRODUCTION |
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In this study, we report observations from the ~4.5-km-long Dragon's Back pressure ridge adjacent to the San Andreas fault in the Carrizo Plain of central California (Fig. 1). Here, fortuitous geologic circumstances allow us to construct a detailed time series of the motion of rocks comprising the pressure ridge, and the response of erosional processes and topography to changes in rock uplift rates. Detailed geologic field observations based on 1:8000-scale geologic mapping and aerial photograph interpretations constrain its deformation, geomorphic observations constrain processes eroding the landform, and recently acquired Airborne Laser Swath Mapping (ALSM) data provide high-resolution topographic data (1 m pixels) that characterize the topographic response. These data provide an excellent opportunity to examine how erosional processes change with the initiation and cessation of rock uplift, and how these changes are reflected in topographic metrics used to infer active rock uplift rates.
| GEOLOGIC OBSERVATIONS |
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Geologic contacts between different members of the Paso Robles Formation define the deformation sustained within the Dragon's Back pressure ridge. We identified the elevation of these contacts using the ALSM data and our geologic mapping, and then we used their three-dimensional geometry to reconstruct folding within the landform (Fig. 1C) by interpolating and extrapolating their elevations to the edges of the Dragon's Back pressure ridge. Folding includes both vertical and fault-normal horizontal displacements—here, we show only the rock uplift (vertical component of displacement) for simplicity. However, bedding planes within the Dragon's Back pressure ridge dip ~30° on average within the fold hinge and show significant local variability (Arrowsmith, 1995). Thus, we expect the horizontal component of deformation to play an important, albeit lesser role than vertical deformation in determining attributes such as hillslope and channel steepness. Using the space-for-time substitution, the values of rock uplift can be used to estimate the spatial distribution of rock uplift rates within the Dragon's Back pressure ridge (Fig. 1D), and, taken together, these measurements provide our best estimate of the motion of each point within the Dragon's Back pressure ridge.
| GEOMORPHIC AND TOPOGRAPHIC OBSERVATIONS |
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Channel steepness has recently been proposed as a metric that faithfully records rock uplift rates in catchments where channels incise bedrock and rock uplift is balanced by erosion (Whipple and Tucker, 1999). Interestingly, while the Dragon's Back pressure ridge is underlain by unconsolidated material, and we might expect the small catchments here to be dominated by debris-flow incision and transport, channel steepness nonetheless increases directly with rock uplift (Fig. 2). High channel steepness is accompanied by modest increases in channel concavity. Even in this transient landscape where rock uplift and erosion are not in balance, as uplift rates cease, channel steepness rapidly decreases; however, channels become more concave toward the northwest edge of the uplift zone and reach a maximum concavity after uplift ceases (Fig. 2). This effect can also be seen in the profile concavity of surveyed channels of basins directly in the wake of the uplift zone (Figs. 1A and 1E, channel 2) relative to those before and after it (Figs. 1A and 1E, channels 1 and 3; see also supplementary Figures DR1 and DR2 for field- and ALSM-based observations of changing concavity [see footnote 1]). After this transient period of high concavity, channels become less concave (Fig. 2) as the headwater portions of the channels lower (Fig. 1E, channel 3). About 1.0–1.5 km from the southeast edge of the pressure ridge, hillslopes become sufficiently steep to initiate shallow landslides and debris flows, and the mapped density of landslide scars (landslide scar length normalized to basin area) increases in this area as a result (Fig. 2). As with channel concavity, the density of landslide scars tends to be largest in the wake of the uplift zone; further to the northwest, landslide scar densities decrease (Fig. 2). In basins along the northwestern edge of the Dragon's Back pressure ridge, channel steepness is low, and channels maintain a constant concavity. It is here that landslide scar densities and channel steepness have declined in response to the cessation of rock uplift.
We used the ALSM 1 m DEM to calculate two landscape metrics that have been used in the past to infer tectonic activity from topography (e.g., Bullard and Lettis, 1993) to assess their performance in tracking rock uplift rates. We chose local relief (the range in elevation values contained within a circular search kernel) because of its widespread use in tectonic geomorphology studies, and residual relief (the difference between surfaces constructed from ridge-line and channel-bottom points) because of its previous use and intuitive appeal that basin relief likely changes with rock uplift rates. Both measures of relief increase along the southeastern third of the Dragon's Back pressure ridge located within the structural knuckle (Fig. 2). However, both also attain maximum values after points in the Dragon's Back pressure ridge move out of the zone of high rock uplift rates (Fig. 2). To the northwest of this relief maximum, both metrics decrease until only subtle relief is observed at the northwest end of the landform.
| INTERPRETATION AND DISCUSSION |
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Using the mapped distribution of geomorphic processes and the ALSM topography, we see that relief gradually increases between 0 and 1 km from the southeast edge of the Dragon's Back pressure ridge (0–33 k.y. after the initiation of rock uplift), increases more rapidly until ~2 km (33–66 k.y.), and steadily decreases until 4.4 km (145 k.y.). Channel densities (channel length normalized to basin area) do not appear to vary in response to uplift, but channel steepness tends to faithfully track rock uplift rates (Fig. 2), as is predicted theoretically for fluvial channels that incise bedrock (Whipple and Tucker, 1999). By 2.1 km (66 k.y.), channel concavity becomes large and attains a maximum value by 2.3 km (76 k.y.), after which time, concavities rapidly return to pre-uplift values (Fig. 2). This change in channel concavity accompanies downcutting of the channels in response to the cessation of uplift. This process of downcutting, represented by decreasing channel steepness and changes in channel concavity, appears to occur between 2.1 km (the end of uplift) and 2.3 km, and so channels take ~6.6 k.y. to adjust to the cessation of uplift. Meanwhile, landslide scar densities increase within the uplift zone and apparently dominate the majority of hillslope transport after uplift has ceased (Fig. 2). This pattern results from rapid channel incision, which undercuts hillslopes, and the steepened hillslopes are then dominated by landsliding processes (e.g., Dietrich et al., 1992). The same increase in channel concavity that triggers landsliding also creates large amounts of ridge-to-channel relief in the basins as the rapidly downcutting channels deepen basins far below their ridgelines. This accelerated hillslope transport reduces hillslope gradients, and landslide scar densities decrease along the northwestern third of the landform as mass-wasting processes eventually give way to more continuous diffusive transport, which produces smooth, upward-convex hillslopes (e.g., Black and Montgomery, 1991; Carson and Kirkby, 1972) (Fig. 2). This transition from mass-wasting to diffusive (likely bioturbative) transport occurs gradually until ~4 km (132 k.y.; ~73 k.y. after uplift has ceased), after which evidence of mass wasting is less common than within and directly adjacent to the zone of active rock uplift. Thus, the rapid response time of channels (~6.6 k.y.) relative to hillslopes (~73 k.y.) clearly affects the relief structure, as well as the spatial and temporal distribution of geomorphic processes acting to erode this landform.
We use direct field observations to quantify the differing responses of hillslope and channel processes and their impact on topography to changes in deformation over time scales that are likely appropriate for the formation of landform-scale topography. In relatively simple landscapes that are underlain by unconsolidated material (assumed analogous to well-studied soil-mantled landscapes), the topographic response to the initiation and cessation of rock uplift depends on the history of deformation rates and inter-relationships between the different erosional process responses to this history. Local and residual relief and the distribution of erosional processes generally track rock uplift rates, but more rapid channel response relative to hillslopes may produce significant lags between these topographic metrics and changes in rock uplift rates. In the case of the Dragon's Back pressure ridge, hillslope response times appear significantly longer than those of channels, which may be unexpected based on models of rapidly lowering landscapes (Whipple and Tucker, 1999). As channels undercut hillslopes sufficiently to initiate widespread mass wasting, the initiation of landsliding processes allows hillslopes to rapidly adjust, and it is the return to diffusive hillslope conditions that heralds longer response times, as might be expected from studies of these types of slopes (e.g., Fernandes and Dietrich, 1997; Roering et al., 2001). Interestingly, channel processes appear to respond most simply and rapidly to changes in rock uplift rates, even when basinwide elevations are increasing, and so, at least in the Dragon's Back pressure ridge, metrics such as channel steepness provide the most reliable measure of rock uplift rates.
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Received for publication 29 October 2007
Revised manuscript received 4 January 2008
Manuscript accepted 19 January 2008
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