Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025; Geballe Laboratory for Advanced Materials, Departments of Physics and Applied Physics, Stanford University, Stanford, CA 94305; Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025; and Advan...

Sand hill environments in the Canadian grasslands can be classified as sandstone outcrops, upland dunes, sand features associated with water, non-human disturbances, anthropogenic disturbances, beach dunes, or sandbars. Insects and other arthropods use these environments for burrow construction, access to sand-associated host plants, open ground predation and scavenging, thermoregulation, and l...

C. Lester, Jiun-Haw Chu, 3 J. G. Analytis, 3 S. Capelli, A. S. Erickson, 3 C. L. Condron, M. F. Toney, I. R. Fisher, 3 and S.M. Hayden H.H. Wills Physics Laboratory, University of Bristol, Tyndall Ave., Bristol, BS8 1TL, UK Geballe Laboratory for Advanced Materials and Department of Applied Physics, Stanford University, Stanford, CA 94305 Stanford Institute for Materials and Energy Sciences, SL...

Stanford Synchrotron Radiation Lightsource, 2575 Sand Hill Road, Menlo Park, California 94025, Surface and Aqueous Geochemistry Group, Department of Geological and EnVironmental Sciences, Stanford UniVersity, Stanford, California 94305-2115, Chemical Sciences DiVision, Lawrence Berkeley National Laboratory, Berkeley, California 94720, Materials Sciences DiVision, Lawrence Berkeley National Labo...

introduction: spatial variation of soil properties is significantly influenced by numerous environmental factors such as landscape features, including position, topography, slope gradient and aspect, parent material, climate and vegetation. soil properties vary spatially in south- and north-facing hill slopes. this factor (different slope aspects) can affect the distribution of soil organic mat...

In this paper, we attempt to understand hunter-gatherer foraging decisions about prey that vary in both the mean and variance of energy return using an expected utility framework. We show that for skewed distributions of energetic returns, the standard linear variance discounting (LVD) model for risk-sensitive foraging can produce quite misleading results. In addition to creating difficulties f...

Brian Batell, Maxim Pospelov, 3 and Brian Shuve Pittsburgh Particle Physics, Astrophysics, and Cosmology Center, Department of Physics and Astronomy, University of Pittsburgh, PA 15260, USA Perimeter Institute for Theoretical Physics, Waterloo, ON N2J 2W9, Canada Department of Physics and Astronomy, University of Victoria, Victoria, BC V8P 5C2, Canada SLAC National Accelerator Laboratory, 2575 ...

Thomas M. Lippman1,2 and Kathryn A. Moler1,2,3,* 1Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA 2Department of Physics, Stanford University, Stanford, California 94305-4045, USA 3Department of Applied Physics, Stanford University, Stanford, California 94305-4045, USA (Received 24 August 2011; re...