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Rock properties and sediment caliber govern bedrock river morphology across the Taiwan Central RangeFeedbacks between surface and deep Earth processes in collisional mountain belts depend on how erosion and topographic relief vary in space and time. One outstanding unknown lies in how rock strength influences bedrock river morphology and thus mountain relief. Here, we quantify boulder cover and channel morphology using uncrewed aerial vehicle surveys along 30 kilometers of bedrock-bound river corridors throughout the Taiwan Central Range where regional gradients in rock properties relate to tectonic history. We find that boulder size systematically increases with increasing metamorphic grade and depth of exhumation. Boulder size correlates with reach-scale channel steepness but does not explain observations of highly variable channel width. Transport thresholds indicate that rivers are adjusted to mobilize boulders and are well in excess of the threshold to transport gravel and cobbles, as previously assumed. The linkage between metamorphic history, boulder size, and channel steepness reveals how rock properties can influence feedbacks between tectonics and topography throughout the life span of a mountain range.more » « less
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This dataset contains polygon shapefiles of watersheds draining detrital 10Be erosion rate samples from the San Gabriel Mountains, California (USA), with the naming format “mask_SampleID.shp”. This dataset is a companion to: DiBiase, R. A., Neely, A. B., Whipple, K. X, Heimsath, A. M., and Niemi, N. A. (2023), Hillslope morphology drives variability of detrital 10Be erosion rates in steep landscapes, Geophysical Research Letters, 50, e2023GL104392. https://doi.org/10.1029/2023GL104392 Full information for samples is described in: DiBiase, R. A., Neely, A. B., Whipple, K. X., Heimsath, A. M., Niemi, N. A., 2023. Compilation of detrital 10Be erosion rate data, San Gabriel Mountains, CA, USA, Version 1.0. Interdisciplinary Earth Data Alliance (IEDA). https://doi.org/10.26022/IEDA/112928. Accessed 2023-08-08.more » « less
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This dataset of detrital cosmogenic 10Be erosion rates from stream sands includes new and previously published measurements, compiled as part of DiBiase et al. (2023). Sample location information has been updated from original publications using field notes, pictures, and new lidar topography to align with correct stream network position. All erosion rates have been recalculated using updated in situ 10Be production rate estimates in quartz, as described in DiBiase et al. (2023). In addition to 10Be data, this dataset also includes catchment-scale topographic, climate, and landslide impact metrics, as described in DiBiase et al. (2023).more » « less
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Abstract The connection between topography and erosion rate is central to understanding landscape evolution and sediment hazards. However, investigation of this relationship in steep landscapes has been limited due to expectations of: (a) decoupling between erosion rate and “threshold” hillslope morphology; and (b) bias in detrital cosmogenic nuclide erosion rates due to deep‐seated landslides. Here we compile 120 new and published10Be erosion rates from catchments in the San Gabriel Mountains, California, and show that hillslope morphology and erosion rate are coupled for slopes approaching 50° due to progressive exposure of bare bedrock with increasing erosion rate. We find no evidence for drainage area dependence in10Be erosion rates in catchments as small as 0.09 km2, and we show that landslide deposits influence erosion rate estimates mainly by adding scatter. Our results highlight the potential and importance of sampling small catchments to better understand steep hillslope processes.more » « less
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Abstract Landscapes following wildfire commonly have significant increases in sediment yield and debris flows that pose major hazards and are difficult to predict. Ultimately, post-wildfire sediment yield is governed by processes that deliver sediment from hillslopes to channels, but it is commonly unclear the degree to which hillslope sediment delivery is driven by wet versus dry processes, which limits the ability to predict debris-flow occurrence and response to climate change. Here we use repeat airborne lidar topography to track sediment movement following the 2009 CE Station Fire in southern California, USA, and show that post-wildfire debris flows initiated in channels filled by dry sediment transport, rather than on hillsides during rainfall as typically assumed. We found widespread patterns of 1–3 m of dry sediment loading in headwater channels immediately following wildfire and before rainfall, followed by sediment excavation during subsequent storms. In catchments where post-wildfire dry sediment loading was absent, possibly due to differences in lithology, channel scour during storms did not occur. Our results support a fire-flood model in bedrock landscapes whereby debris-flow occurrence depends on dry sediment loading rather than hillslope-runoff erosion, shallow landslides, or burn severity, indicating that sediment supply can limit debris-flow occurrence in bedrock landscapes with more-frequent fires.more » « less
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