Bellugi, D., D. G. Milledge, W. E. Dietrich, J. A. McKean, J. T. Perron, E. B. Sudderth, and B. Kazian. 2015. A spectral clustering search algorithm for predicting shallow landslide size and location. J. Geophys. Res. Earth Surf. 120, doi:10.1002/2014JF003137.
Benjankar, R., Tonina, D., McKean, J., 2014. One-dimensional and two-dimensional hydrodynamic modelling derived flow properties: impacts on aquatic habitat quality predictions. Earth Surface Processes and Landforms, doi: 10.1002/esp.3637
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McKean, J., Tonina, D., Bohn, C., Wright, C.W., 2014. Effects of bathymetric lidar errors on a multi-dimensional hydraulic model of flow and bed shear stress in a small clear-water stream. Journal of Geophysical Research - Earth Surface, 119 (3), 644-664, doi:10.1002/2013JF002897.
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Airborne bathymetric LIDARs could revolutionize the way the Forest Service and other agencies manage streams. The technology may allow us to move from local samples of channel habitat toward full inventory of physical conditions in channel networks. This will support new analyses/management of aquatic habitat and species at unprecedented spatial scales.
Debris flow research will allow spatially explicit modeling of changes in the hazard of shallow landsliding caused by variations in root strength from sources such as climate change, logging, root disease, or forest insect infestations. The 3D slope stability model also allows a prediction of landslide size.
The interactions of hillslopes and their bounding channels strongly control the hazard of large landslides and the rate and style of sediment introduced to streams by the landslides. This research should improve our understanding of slide behavior and environmental consequences.