Assessing temporal shifts in lotic fish community structure in the upper Red River basin, Oklahoma
Autor: | Donnie King, Matthew Skoog, Anthony W. Rodger, Trevor A. Starks |
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Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
River ecosystem Drainage basin Green sunfish Aquatic Science Generalist and specialist species Fish community change 010603 evolutionary biology 01 natural sciences Common carp lcsh:QH540-549.5 fisheries conservation lcsh:Environmental sciences Ecology Evolution Behavior and Systematics Wildlife conservation lcsh:GE1-350 geography.geographical_feature_category biology 010604 marine biology & hydrobiology Community structure fish community management biology.organism_classification Monitoring program Fishery Geography lcsh:Ecology long-term biodiversity monitoring |
Zdroj: | Journal of Freshwater Ecology, Vol 33, Iss 1, Pp 129-138 (2018) |
ISSN: | 2156-6941 0270-5060 |
DOI: | 10.1080/02705060.2017.1420703 |
Popis: | A long-term fish community monitoring program was established by the Oklahoma Department of Wildlife Conservation Streams Program in 2016. One of the primary goals of this program is to evaluate contemporary fish species distributions in Oklahoma and draw inferences regarding changes in those distributions over time. In 2016, fish community surveys took place from late June to early August at a total of 48 sites within the upper Red River basin. Compared to the most comprehensive historical sampling effort within the basin, contemporary surveys detected an additional eight species while three species historically present were not detected in 2016. Multivariate generalized linear model results indicated significant differences in community structure between historical and contemporary surveys. Univariate testing paired with Sum-of-LR analyses revealed differences in community structure were largely driven by increases in generalist fish species (e.g. Green Sunfish and Common Carp) and decreases in small-bodied specialist cyprinids (e.g. Chub Shiner). Although changes in species occurrences may be partially driven by differences in sampling methodology and effort, changes across multiple stream reaches likely reveal real trends. |
Databáze: | OpenAIRE |
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