Education and communication products of the Council for Resilience Education
Eight NRT students and two other graduate students founded the Council for Resilience Education and registered it as an official student organization at the university. The council produces online articles, case studies, games, videos, and podcasts to explain resilience theory and strategies for addressing environmental problems. Members of the council have completed two modules, “Ecological Resilience” and “Alternative Stable State Theory and Regime Shifts,” hosted online at the Plant & Soil Science eLibrary of the university. The elibrary serves as a free resource to teachers, students and anyone else seeking background on specific scientific topics. It receives about 11.5 million hits yearly and offers lessons and animations in English and Spanish.
Products of: Conor Barnes, Dominic Cristiano, Hugh Ellerman, Dillon Fogarty, Julie Fowler, Katharine Hogan, Jessie Johnson, Alison Ludwig, Daniel Morales and Rubi Quiñones.
The Hydraulic Parameter Estimation Tool (HydraPET) is a program that handles detailed descriptions obtained from geologists’ borehole logs. It is a pattern-recognition algorithm that translates lithology descriptions into a standard set of terms while providing estimated hydraulic conductivity (K) and specific yield (Sy) values based on lithological modifiers such as grain size or clay content. HydraPET (v 1.0, 1.1, 1.2, 1.2.1, and 2.0) was developed in Python with a modular approach.
Product of: Daniel Rico, M.S. student in Computer Science Engineering, in collaboration with Jesse Korus, assistant professor in the School of Natural Resources, and Francisco Munoz-Arriola, assistant professor in the Department of Biological Systems Engineering.
The Multiplexer is both a hardware and software system intended for automatic water sampling from 16 separate mesocosms. Each mesocosm has a particular level of water contamination but with varying levels of natural means of contamination sequestration. When the system is coupled with a spectrometer, water quality analysis over time is possible. The software was developed in C, with a modular approach.
Product of: Daniel Rico, M.S. student in Computer Science Engineering, in collaboration with Tiffany Messer, assistant professor in the Department of Biological Systems Engineering.
The Plant Trait Data Sifter is a software tool to assemble summaries of open-access data from plant trait databases. The program scrapes the back-end html code from a website containing an embedded table, cleans up the html until only the data remains and sorts through the cleaned data looking for particular plant species the user defined in the input files. Once entries in the table have been exhausted, the PTDS returns the matched lines of data and the performance of the search in regard to input misses in an Excel workbook for further user analysis. PTDS is programmed in Python using a modular approach. Versions 1.0 and 1.1 are in operation, and superseding variants are planned.
Product of: Daniel Rico, M.S. student in Computer Science Engineering, and Katharine Hogan, Ph.D. student in Natural Resources/Applied Ecology.