Statistical analysis on otolith data of anadromous fishes
Stable oxygen and carbon isotope δ[superscript 18]O and δ[superscript 13]C analyses of otoliths are becoming increasingly common in fisheries science and management. However, little is known about the statistical properties of isotopic data and few attempts have been made to explore appropriate stat...
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ftoregonstate:ir.library.oregonstate.edu:g732d949x 2024-09-09T19:30:22+00:00 Statistical analysis on otolith data of anadromous fishes Gao, Yongwen Conrad, Robert Bean, David Noakes, David L. G. Fisheries and Wildlife https://ir.library.oregonstate.edu/concern/articles/g732d949x English [eng] eng unknown Springer https://ir.library.oregonstate.edu/concern/articles/g732d949x Copyright Not Evaluated Article ftoregonstate 2024-07-22T18:06:04Z Stable oxygen and carbon isotope δ[superscript 18]O and δ[superscript 13]C analyses of otoliths are becoming increasingly common in fisheries science and management. However, little is known about the statistical properties of isotopic data and few attempts have been made to explore appropriate statistical methods that could be used for otolith data analysis. In this paper, we present a pilot study on δ[superscript 18]O and δ[superscript 13]C data from otoliths of two anadromous fish species, Atlantic salmon (Salmo salar) and Pacific sockeye salmon (Oncorhynchus nerka). The results indicated that the salmon otolith data were not normally distributed, so that linear discriminant function analysis and commonly-used statistical tests such as ANOVA and the t-test may not be appropriate. Using non-parametric k-sample nearest neighbor discriminant analysis, we were able to discriminate with high accuracy among five hatcheries for Atlantic salmon and the origins of wild and hatchery sockeye salmon. Analyses also indicated that the sample sizes required to estimate δ[superscript 18]O and δ[superscript 13]C means based on the different sources of variability (between group or within group) and precision levels (≤ ± 5.0 %) were not large. These results and conclusions not only address the statistical considerations of isotopic data from otoliths, but also have practical importance for fisheries management as well. Keywords: δ[superscript 18] and δ[superscript 13] data ., Stable isotope analysis, Sockeye salmon, Statistical tests, Atlantic salmon Article in Journal/Newspaper Atlantic salmon Salmo salar ScholarsArchive@OSU (Oregon State University) Pacific Sockeye ENVELOPE(-130.143,-130.143,54.160,54.160) |
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ScholarsArchive@OSU (Oregon State University) |
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ftoregonstate |
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English unknown |
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Stable oxygen and carbon isotope δ[superscript 18]O and δ[superscript 13]C analyses of otoliths are becoming increasingly common in fisheries science and management. However, little is known about the statistical properties of isotopic data and few attempts have been made to explore appropriate statistical methods that could be used for otolith data analysis. In this paper, we present a pilot study on δ[superscript 18]O and δ[superscript 13]C data from otoliths of two anadromous fish species, Atlantic salmon (Salmo salar) and Pacific sockeye salmon (Oncorhynchus nerka). The results indicated that the salmon otolith data were not normally distributed, so that linear discriminant function analysis and commonly-used statistical tests such as ANOVA and the t-test may not be appropriate. Using non-parametric k-sample nearest neighbor discriminant analysis, we were able to discriminate with high accuracy among five hatcheries for Atlantic salmon and the origins of wild and hatchery sockeye salmon. Analyses also indicated that the sample sizes required to estimate δ[superscript 18]O and δ[superscript 13]C means based on the different sources of variability (between group or within group) and precision levels (≤ ± 5.0 %) were not large. These results and conclusions not only address the statistical considerations of isotopic data from otoliths, but also have practical importance for fisheries management as well. Keywords: δ[superscript 18] and δ[superscript 13] data ., Stable isotope analysis, Sockeye salmon, Statistical tests, Atlantic salmon |
author2 |
Fisheries and Wildlife |
format |
Article in Journal/Newspaper |
author |
Gao, Yongwen Conrad, Robert Bean, David Noakes, David L. G. |
spellingShingle |
Gao, Yongwen Conrad, Robert Bean, David Noakes, David L. G. Statistical analysis on otolith data of anadromous fishes |
author_facet |
Gao, Yongwen Conrad, Robert Bean, David Noakes, David L. G. |
author_sort |
Gao, Yongwen |
title |
Statistical analysis on otolith data of anadromous fishes |
title_short |
Statistical analysis on otolith data of anadromous fishes |
title_full |
Statistical analysis on otolith data of anadromous fishes |
title_fullStr |
Statistical analysis on otolith data of anadromous fishes |
title_full_unstemmed |
Statistical analysis on otolith data of anadromous fishes |
title_sort |
statistical analysis on otolith data of anadromous fishes |
publisher |
Springer |
url |
https://ir.library.oregonstate.edu/concern/articles/g732d949x |
long_lat |
ENVELOPE(-130.143,-130.143,54.160,54.160) |
geographic |
Pacific Sockeye |
geographic_facet |
Pacific Sockeye |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_relation |
https://ir.library.oregonstate.edu/concern/articles/g732d949x |
op_rights |
Copyright Not Evaluated |
_version_ |
1809899348074430464 |