Date of Award

Spring 5-10-2025

Document Type

Thesis

Degree Name

Master of Science in Fisheries and Wildlife Science

Department

Biological Sciences

College

College of Science, Technology, Engineering, & Mathematics

Committee Chair

Kyler Hecke, PhD

Second Committee Member

Zach Moran, PhD

Third Committee Member

Katie Morris, MS

Program Director

Tom Nupp, PhD

Dean of Graduate College

Michael Bradley, PhD

Abstract

Among South Central Plains ecoregion fish communities, there is limited knowledge of the importance of headwaters yet this information is needed to understand their role in fish communities. I addressed this gap by assessing seasonal changes in fish communities in headwater streams of the Moro Creek watershed, Arkansas. I conducted two studies pertaining to temporal fish community assessments: (i) utilize multi-season, community occupancy models to estimate μ (species probability), Ω (community occupancy mean), and p (detection probability) and (ii) utilize beta diversity (β) analyses to address the diversity across different scales in the headwaters of the Moro Creek Watershed. A total of 37 species from 10 families were observed. Of the many multi-season community occupancy models, we explored the best three selected from our ranking criteria: μ (canopy cover), Ω (canopy cover), p (.); μ (catchment area), Ω (catchment area), p (stream flow); μ (catchment area), Ω (catchment area) and, p (.). The model incorporating canopy cover suggests that μ varied greatly by species, Ω (±SE) varied by season, and that p was constant. Overall, seasonal variation exists at the species and community levels, canopy cover and catchment area are the main drivers of μ and Ω, and stream flow is the main driver of p. Additionally through the β diversity analyses, it suggests that β diversity fluctuates throughout different spatial scales and that at each spatial scale there are different drivers. These patterns of β diversity show that turnover is consistently higher than nestedness and seasonal shifts in environmental factors like stream flow, salinity, and pH also influence β diversity. This research aids in the understanding of ecological influences, fish community dynamic shifts, fish patterns and species richness on a temporal scale, and headwater stream functionality in lowland watersheds.

Available for download on Wednesday, May 13, 2026

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