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Applying empirical dynamic modeling to distinguish abiotic and biotic drivers of population fluctuations in sympatric fishes
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2022
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Source: Limnology and Oceanography, 67(S1)
[PDF-910.92 KB]
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Journal Title:Limnology and Oceanography
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Description:Fluctuations in the population abundances of interacting species are widespread. Such fluctuations could be a response to abiotic factors, biotic interactions, or a combination of the two. Correctly identifying the drivers is critical for effective population management. However, such effects are not always static in nature. Nonlinear relationships between abiotic factors and biotic interactions make it dif ficult to parse true effects. We used a type of nonlinear forecasting, empirical dynamic modeling, to investigate the context-dependent species inter- action between a common fish (three-spine stickleback) and an endangered one (northern tidewater goby) in a
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Source:Limnology and Oceanography, 67(S1)
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ISSN:0024-3590;1939-5590;
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Rights Information:CC0 Public Domain
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Rights Statement:This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
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