Researcher ORCID Identifier

0009-0002-4584-4592

Graduation Year

2024

Document Type

Open Access Senior Thesis

Degree Name

Bachelor of Arts

Department

Environmental Analysis

Reader 1

David Robinson

Reader 2

Donald McFarlane

Terms of Use & License Information

Terms of Use for work posted in Scholarship@Claremont.

Rights Information

© 2024 Adia F Bennett

Abstract

Human activities in North American watersheds have significantly impacted anadromous fish, causing some species of salmon and steelhead to become threatened and endangered. These fish hold ecological, cultural, and economic importance, yet factors such as habitat destruction, overfishing, pollution, climate change, and hydroelectric dams continue to degrade populations. Dams are particularly harmful to anadromous fish, sparking a recent movement advocating for dam removals. This study uses NOAA’s 2022 Biological Viability Assessment to examine the response of anadromous fish to recent dam removals in the Pacific Northwest. Four populations were selected to analyze due to their interaction with sites that had major dams up until the past 15-20 years. Natural origin spawner estimates were modeled and visually analyzed to study the trends of these populations since the year of dam removal. Two t-tests were conducted to quantitatively assess the consistency in recovery trends. Despite observing similar trajectories in some populations, the quantitative analysis found there was no significant correlation between responses at this time. Several factors may contribute to this inconsistency between datasets and variability in population numbers, such as habitat recovery, dam conditions, geography, ocean conditions, climate change, or natural fluctuations. In conclusion, further time and monitoring are needed to fully understand how anadromous fish populations respond to dam removals and the reasons for these responses. A map was created in conjunction with this paper to visually present the data from the Biological Viability Assessment, which aims to create a more accessible medium to read and analyze the data.

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