Enhanced sediment delivery in a changing climate in semi-arid mountain basins: Implications for water resource management and aquatic habitat in the northern Rocky Mountains

Goode, Jaime R.; Luce, Charles H.; Buffington, John M.

doi:10.1016/j.geomorph.2011.06.021

Cited by 122 publications

(119 citation statements)

References 221 publications

(292 reference statements)

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“…While using transient hydrologic models provided slight improvements in the prediction of landslide locations, overall, statistical comparisons of model outputs between steadystate and transient models revealed fairly similar degrees of success (Gorsevski et al, 2006;Zizioli et al, 2013;Anagnostopoulos et al, 2015;Bordoni et al, 2015;Formetta et al, 2016). In some applications, model complexity increased the accuracy of predicted landslide locations at the expense of overestimating instability on unsaturated hillslopes (e.g., Godt et al, 2008;Bellugi, 2011).…”

Section: Geomorphology and Modeling Backgroundmentioning

confidence: 99%

“…In some applications, model complexity increased the accuracy of predicted landslide locations at the expense of overestimating instability on unsaturated hillslopes (e.g., Godt et al, 2008;Bellugi, 2011). In other cases, model precision increased while accuracy decreased (Gorsevski et al, 2006).…”

Section: Geomorphology and Modeling Backgroundmentioning

confidence: 99%

“…In a VIC model simulation, this condition can be obtained by adding base flow and surface runoff. Observations and model experiments suggest that widespread landslides are usually associated with the largest rainfall events (e.g., Page et al, 1994;Gorsevski et al, 2006). To characterize when the ground is likely to be the most saturated each year, daily base flow and surface runoff are summed at each VIC grid cell to represent daily recharge (mm d −1 ) and the annual maximum daily value is selected for each year of the dataset, similar to others (e.g., Benda and Dunne, 1997a;Borga et al, 2002;Istanbulluoglu et al, 2004).…”

Section: R Strauch Et Al: a Hydroclimatological Approach To Predictmentioning

confidence: 99%

“…In steep mountainous landscapes, episodic shallow landslides (generally < 2 m depth; Bordoni et al, 2015) and landslide-triggered debris flows are often the dominant form of hillside erosion and a major source of sediment into streams (Benda and Dunne, 1997a, b;Goode et al, 2012). Where the landslide processes intersect with human development, they cause property damage, disruption of infrastructure, injury, and loss of life (Taylor and Brabb, 1986;Baum et al, 2008a), contribute to sedimentation in reservoirs (Bathurst et al, 2005), and may even lead to dam failures (Ghirotti, 2012).…”

Section: Introductionmentioning

confidence: 99%

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A hydroclimatological approach to predicting regional landslide probability using Landlab

et al. 2018

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Abstract. We develop a hydroclimatological approach to the modeling of regional shallow landslide initiation that integrates spatial and temporal dimensions of parameter uncertainty to estimate an annual probability of landslide initiation based on Monte Carlo simulations. The physically based model couples the infinite-slope stability model with a steady-state subsurface flow representation and operates in a digital elevation model. Spatially distributed gridded data for soil properties and vegetation classification are used for parameter estimation of probability distributions that characterize model input uncertainty. Hydrologic forcing to the model is through annual maximum daily recharge to subsurface flow obtained from a macroscale hydrologic model. We demonstrate the model in a steep mountainous region in northern Washington, USA, over 2700 km 2 . The influence of soil depth on the probability of landslide initiation is investigated through comparisons among model output produced using three different soil depth scenarios reflecting the uncertainty of soil depth and its potential long-term variability. We found elevation-dependent patterns in probability of landslide initiation that showed the stabilizing effects of forests at low elevations, an increased landslide probability with forest decline at midelevations (1400 to 2400 m), and soil limitation and steep topographic controls at high alpine elevations and in post-glacial landscapes. These dominant controls manifest themselves in a bimodal distribution of spatial annual landslide probability. Model testing with limited observations revealed similarly moderate model confidence for the three hazard maps, suggesting suitable use as relative hazard products. The model is available as a component in Landlab, an open-source, Python-based landscape earth systems modeling environment, and is designed to be easily reproduced utilizing HydroShare cyberinfrastructure.

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Section: Geomorphology and Modeling Backgroundmentioning

confidence: 99%

Section: Geomorphology and Modeling Backgroundmentioning

confidence: 99%

Section: R Strauch Et Al: a Hydroclimatological Approach To Predictmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A hydroclimatological approach to predicting regional landslide probability using Landlab

et al. 2018

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“…Examples tied to ongoing climate warming during the past few decades include increased mass movements and sediment yields to mountain rivers in the Himalayan and Tibetan Plateau (Lu et al, 2010); changes in wildfire regime across the semiarid western U.S. and associated changes in water, sediment, and nutrient yields to rivers (Hauer et al, 1997;Westerling et al, 2006;Goode et al, 2012); and increased glacial melting that releases water and sediment from glaciers (Oswood et al, 1992).…”

Section: Increased Sediment Supply To or Within River Corridorsmentioning

confidence: 99%

Legacy effects on sediments in river corridors

Wohl

2015

Earth-Science Reviews

161

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Optimal reproduction in salmon spawning substrates linked to grain size and fish length

et al. 2014

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Millions of dollars are spent annually on revitalizing salmon spawning in riverbeds where redd building by female salmon is inhibited by sediment that is too big for fish to move. Yet the conditions necessary for productive spawning remain unclear. There is no gauge for quantifying how grain size influences the reproductive potential of coarse-bedded rivers. Hence, managers lack a quantitative basis for optimizing spawning habitat restoration for reproductive value. To overcome this limitation, we studied spawning by Chinook, sockeye, and pink salmon (Oncorhynchus tshawytscha, O. nerka, and O. gorbuscha) in creeks and rivers of California and the Pacific Northwest. Our analysis shows that coarse substrates have been substantially undervalued as spawning habitat in previous work. We present a field-calibrated approach for estimating the number of redds and eggs a substrate can accommodate from measurements of grain size and fish length. Bigger fish can move larger sediment and thus use more riverbed area for spawning. They also tend to have higher fecundity, and so can deposit more eggs per redd. However, because redd area increases with fish length, the number of eggs a substrate can accommodate is maximized for moderate-sized fish. This previously unrecognized tradeoff raises the possibility that differences in grain size help regulate river-to-river differences in salmon size. Thus, population diversity and species resilience may be linked to lithologic, geomorphic, and climatic factors that determine grain size in rivers. Our approach provides a tool for managing grain-size distributions in support of optimal reproductive potential and species resilience.

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Enhanced sediment delivery in a changing climate in semi-arid mountain basins: Implications for water resource management and aquatic habitat in the northern Rocky Mountains

Cited by 122 publications

References 221 publications

A hydroclimatological approach to predicting regional landslide probability using Landlab

A hydroclimatological approach to predicting regional landslide probability using Landlab

Legacy effects on sediments in river corridors

Optimal reproduction in salmon spawning substrates linked to grain size and fish length

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