This poster will show the relationship of the S. 1770, the Hualapai Tribe Water Rights Settlement Act of 2017 and the quantification of Colorado River rights for the Hualapai Tribe in Northern Arizona. The decision made by this settlement could set a precedent for how much water belongs to current and future tribes residing along the Colorado River.

Second-growth stands of conifers are increasingly being looked to for timber production and ecosystem services across the Pacific Northwest. These stands, regenerated after old-growth logging in the mid-20th century, have the potential to provide timber products, watershed protection and wildlife habitat. However, for these stands to function to their fullest potential, they often require silvicultural treatments such as variable density or restoration thinning. This project conducted a preliminary inventory of the Jacoby Creek Forest using geospatial analysis. Previous silviculture, stand conditions, road networks and watercourses were all compiled to create inventory maps of the forest.

The changes in proteome human muscle tissue were analyzed using protein extraction and quantification techniques, SDS-PAGE, and two-dimensional gel electrophoresis. Muscle tissue samples were collected at defined postmortem intervals from a single body at the Forensic Investigation Research Station (FIRS) in Grand Junction, CO. These techniques were used to identify decomposition products of the rectus femoris muscle proteins that occur ​post mortem. The ultimate goal of this research is to correlate protein decomposition product masses (via mass spectrometry analysis) to distinctive postmortem intervals measured in accumulated degree days (ADD).

Redwood National Park, CA has recently been infected with Phytophthora ramorum, the pathogen that causes sudden oak death and ramorum leaf blight. Two common understory hardwoods, tanoak and California bay, are commonly infected by ramorum leaf blight. Foliage samples were collected from Tall Trees Grove and, photosynthetic capacity, stomatal conductance, and water potential readings were taken. Ramorum leaf blight decreased the photosynthetic capacity in both of the study species without affecting water use efficiency. The decline in photosynthesis leaves plants vulnerable, increasing the chances of further infection from separate pathogens.

Mathematically modeled herring and mackerel fish migrations in the North and Norwegian Seas, related it to global temperature rise and and how it will affect the small Scottish fishing industry. This project was for a mathematical modeling competition for HSU.

In our paper, we hope to find solutions to the Scottish fishing industries affected by the migration of Herring and Mackerel fish. We acquired pre-existing data from the International Council for the Exploration of the Seas (ICES) and used it to develop a Python program that manipulates the temperature of water in the North Sea. We identified the range of temperatures preferred by both species and used it in the simulation of our model. Finally, we calculated the cost of fishing trips as these species steered father away from the original possible fishers modeled through our Python program and a threshold for cost impracticality.

During the International Mathematical Contest in Modeling, our team tackled the problem of the destructive accumulation of plastic in the earth's land and waterways. We researched national and international policies attempting to curb the production and consumption of plastic, and constructed a simple model to predict plastic mass growth in the future, under various parameters and scenarios.

Built a mathematical model to perform prediction analysis of the fish stock assessment located in Scotland and the affects of rising temperature in Atlantic Ocean.

Strong teamwork is important in many areas of society. Soccer, in particular, is one area where teamwork is critical to performing well and achieving a high score. The goal here was to analyze the data from the Huskies soccer team to determine what affected the team’s success, such as the number of passes, who was playing, and who was coaching. To analyze the given data, it was extracted into both Mathematica and Python. A Monte Carlo simulation, coded in Python, was applied to analyze wins, ties, and losses for each coach and stats for each player, from which we were able to make suggestions to better the teams gameplay as a whole.

Rising ocean temperatures will have a huge impact on life in the ocean, and on the communities that have an economic dependence on the fishing industry. It is important to understand the ocean’s changing environment and the serious repercussions these changes will bring to humanity, in order to prepare for the future. To help plan for this future, we have created a mathematical model that predicts where herring and mackerel, two types of fish located around Scotland, will relocate to over the next 50 years, and the impact these relocations will have on small Scottish fishing companies.