Browsing by Author "Reich, Peter"

Now showing 1 - 4 of 4
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    A Blueprint for Creating The Institute on the Environment for the University of Minnesota
    (University of MInnesota: Provost's Advisory Committee for the Institute on the Environment, 2006-09-25) Swackhamer, Deborah; Polasky, Stephen; Foufoula-Georgiou, Efi; Johnson, Lucinda; Kapuscinski, Anne; Karkkainen, Bradley; McMurry, Peter; Mulla, David; Reich, Peter; Thorleifson, Harvey; Tilman, David; Binks, Jonathan
    In the words of University of Minnesota President Robert H. Bruininks: “The environment poses such a broad and important array of interrelated issues that the participation of scholars from diverse fields will be critical to our efforts to understand and offer solutions to protect our natural world.” This document lays out the anticipated role, structure and operation, or “blueprint,” of a new University of Minnesota Institute on the Environment (IonE).
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    Categorization of literature pertaining to the use of revegetation in suppressing invasive plant species
    (2018-05-29) Schuster, Michael; Wragg, Peter; Reich, Peter; schuster@umn.edu; Schuster, Michael J
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    Letter to the University President from University Professors endorsing Strategic Positioning
    (2005-04-08) Andow, David; Barany, George; Bates, Frank; Bernlohr, David; Candler, Graham; Clayton, Tom; Crick, Nicki; Edwards, R. Lawrence; Foufoula-Georgiou, Efi; Freeman, John; Gunnar, Megan; Hu, Wei-Shou; Iacono, William; James, Richard; Jenkins, Marc; Legge, Gordon; Lodge, Tim; Masten, Ann; Olive, Keith; Phillips, Ronald; Pui, David; Pusey, Ann; Reich, Peter; Sadowsky, Michael; Schmidt, Lanny; Shekhar, Shashi; Sullivan, John; Tolman, William; Tranquillo, Robert T; Young, Nevin
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    Parallel Computing of Forest Biotic Dynamics
    (2012-06-13) Wythers, Kirk; Zhang, Shuxia; Reich, Peter; Peters, Emily
    This poster presents a parallel-computing framework developed recently through the collaborative efforts between the College of Food, Agricultural, and Natural Resource Sciences, the Institute of the Environment, and the Supercomputing Institute at the University of Minnesota. The goal of this project is to address the challenges encountered in the modeling of biotic dynamics in a forest region across different time and spatial scales. By implementing the parallel computing framework on Itasca, we have been able to reduce the computing time from 46 days (if the simulation runs on a single desktop) to half a day by using 8 nodes for a study of northern Minnesota, Wisconsin, and Michigan with 1 km grid resolution. This will allow us to attack computationally challenging problems, such as assessing the impact of critical events like the 1999 BWCA blowdown and finer resolution events such as controlled burns on future forest productivity and stability.