Modeling Climate & Economic Risk in Alaska’s Salmon Industry
Alaska supplies roughly 80 percent of North America’s wild-caught salmon, making the industry both an ecological cornerstone and a major economic driver for the state. This poster examined how climate change and economic pressures are reshaping that industry, asking whether rising ocean temperatures, sea level change, and ocean acidification are measurably affecting salmon populations and catch outcomes.
Presented at the 2025 SPARK! (Showcase of Projects, Art, Research, and Knowledge) Graduate Poster Exhibition, this research was developed by Evan Adams, a Master of Science student in Data Science at Rutgers University–Camden. Using environmental data, population metrics, and economic indicators, the project explored the sustainability of Alaska’s salmon industry in an era of accelerating climate disruption. The abstract appears below.
Abstract: Climate Change and the Sustainability of Alaska’s Salmon Industry
Alaska’s salmon industry is a vital economic and ecological mainstay for the state, contributing approximately 80 percent of North America’s wild-caught salmon and serving as a major source of employment and revenue. However, the industry faces growing challenges from climate change, economic pressures, and international competition. This study investigates the correlation between environmental factors such as rising ocean temperatures, sea level changes, and ocean acidification and the quantity and quality of salmon caught in Alaska.
The null hypothesis (H₀) assumes no significant relationship between these climate variables and salmon populations, while the alternative hypothesis (H₁) suggests that climate change has a measurable impact, affecting salmon migration, spawning behaviors, and overall catch potential.
Additionally, this research explores the economic implications of these changes, including labor costs, fuel prices, and global market competition. By analyzing historical environmental data, salmon population metrics, and economic trends, this study aims to provide insights into the sustainability of the Alaskan salmon industry amid evolving climate conditions. The findings may inform policy decisions, conservation efforts, and adaptive strategies for industry stakeholders.
Graduate Poster Exhibition at SPARK!
The Graduate Poster Exhibition celebrates the research and creative work of the graduate community, showcasing everything from prose and code to original research and artistic expression. As part of SPARK! (Showcase of Projects, Art, Research, and Knowledge), a reimagining of Research Week, the exhibition highlights the depth, range, and impact of graduate scholarship and invites the campus community to engage with ideas taking shape across disciplines.
Mastering Data: The Data Science Program
The Master of Science in Data Science at Rutgers University–Camden is an interdisciplinary program that equips students with skills in data analysis, machine learning, and statistical modeling. The curriculum integrates tools from mathematics, computer science, public policy, and prevention science, emphasizing practical applications across various industries. Core courses include Foundations of Data Science, Statistical Methods for Data Science, Data Visualization, and Applied Data Mining and Machine Learning. Students also engage in a thesis or capstone project, applying their knowledge to real-world problems.
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