Experimental Design and Sampling Strategies for Mixed-Stock Analysis

Fabrizio, Mary C.

doi:10.1016/b978-012154351-8/50024-1

Cited by 12 publications

(11 citation statements)

References 96 publications

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“…In addition, this criterion would be applicable to other methods for identifying stocks, such as, for example using parasites as biological tags or comparative studies of the life history traits. Therefore, the stability over time (in a scale that the researcher should evaluate) of the differences found between population groups is one of the fundamental criteria when identifying stocks (Fabrizio, 2005). The sampling design should involve temporal replicates in the same geographical area according to the chosen time scale in order to discern signals from noise (Ward, 2000;Grant and Waples, 2001).…”

Section: Sampling In Timementioning

confidence: 99%

“…However, there is little information about sampling design and there are no specific references about sampling in holistic approaches to stock identification research. Only in the case of mixed-stock analysis, there are works that treat this aspect in detail (see Fabrizio, 2005 and references therein). Some of the aspects of sampling source stocks and the reliability of features for stock delineation treated by Fabrizio (2005), are equally useful for stock identification research.…”

Section: Introductionmentioning

confidence: 99%

“…Only in the case of mixed-stock analysis, there are works that treat this aspect in detail (see Fabrizio, 2005 and references therein). Some of the aspects of sampling source stocks and the reliability of features for stock delineation treated by Fabrizio (2005), are equally useful for stock identification research. In non-holistic approaches to stock identification, aspects of the sampling design have been developed in relation to each of the techniques employed, as shown in the summary by Cadrin et al (2005).…”

Section: Introductionmentioning

confidence: 99%

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Considerations on sampling strategies for an holistic approach to stock identification: The example of the HOMSIR project

et al. 2008

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Section: Sampling In Timementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Considerations on sampling strategies for an holistic approach to stock identification: The example of the HOMSIR project

et al. 2008

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“…Thus, a large sample of dependent variable data is required in LDA (e.g. number of cases at least 3 × the number of independent variables; see Fabrizio (2005) for source stock sample size guidelines in LDA for stock identification data analysis). Sample size limitations have led to the adoption of a leave-one-out crossvalidation procedure in studies using parasites (e.g.…”

Section: Introductionmentioning

confidence: 99%

Discrimination of fish populations using parasites: Random Forests on a ‘predictable’ host-parasite system

et al. 2010

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We address the effect of spatial scale and temporal variation on model generality when forming predictive models for fish assignment using a new data mining approach, Random Forests (RF), to variable biological markers (parasite community data). Models were implemented for a fish host-parasite system sampled along the Mediterranean and Atlantic coasts of Spain and were validated using independent datasets. We considered 2 basic classification problems in evaluating the importance of variations in parasite infracommunities for assignment of individual fish to their populations of origin: multiclass (2-5 population models, using 2 seasonal replicates from each of the populations) and 2-class task (using 4 seasonal replicates from 1 Atlantic and 1 Mediterranean population each). The main results are that (i) RF are well suited for multiclass population assignment using parasite communities in non-migratory fish; (ii) RF provide an efficient means for model cross-validation on the baseline data and this allows sample size limitations in parasite tag studies to be tackled effectively; (iii) the performance of RF is dependent on the complexity and spatial extent/configuration of the problem; and (iv) the development of predictive models is strongly influenced by seasonal change and this stresses the importance of both temporal replication and model validation in parasite tagging studies.

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“…Despite genetic evidence suggesting no spatial population structure (Cordes and Graves 2003), 60-81% of weakfish return to spawn in their natal estuary signatures from their freshwater habitats that are readily distinguishable using mass spectrometric methods. In order to accurately estimate mixed-stock compositions and natal origins of spawners, a ground-truthed database of river-specific signatures must be include as many source rivers as possible to avoid estimation biases (Fabrizio 2005). In addition, subsequent collections will allow signatures to be compared between years to assess inter-annual variability in the composition of otoliths from a particular river.…”

Section: Otolith Chemistrymentioning

confidence: 99%

Migratory patterns of American shad (Alosa sapidissima) revealed by natural geochemical tags in otoliths

Walther¹

2007

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Geochemical signatures in the otoliths of diadromous fishes may allow for retrospective analyses of natal origins. In an assessment of river-specific signatures in American shad (Alosa sapidissima), an anadromous clupeid native to the Atlantic coast of North America, stable isotope and elemental ratios in otoliths of juvenile American shad produced accurate natal tags from 12 rivers. Significant inter-annual variability in geochemical signatures from several rivers was detected, due largely to differences in δ 18 O values among years. The database was further expanded to include 20 rivers from Florida to Quebec, encompassing all major spawning populations. This task was accomplished by collecting juvenile otoliths along with water samples from rivers where juveniles were not sampled. Regressions between otolith and water chemistry for those rivers where both were collected showed significant relationships for Sr:Ca, Ba:Ca, δ 18 O, and 87 Sr: 86 Sr ratios but not for Mg:Ca or Mn:Ca. Despite reducing the combined signature to only four chemical ratios, cross-validated classification accuracies of knownorigin juveniles averaged 93%. Ground-truthed signatures were used to classify migrants of unknown origins. Adults returning to spawn in the York River were classified according to their otolith composition. Only 6% of spawners originated from rivers other than the York, supporting the hypothesis that most American shad spawn in their natal river. Of remaining spawners, 79% originated from the Mattaponi River and 21% from the Pamunkey River. The results suggested that while most American shad home to their natal river there is less fidelity to individual tributaries, allowing subsidies to subpopulations with persistent recruitment failure. Otolith signatures were also used in mixed-stock analyses of immature migrants along the coast of Maine in the spring and Minas Basin in the summer. Mixed-stock compositions showed remarkably low diversity and were dominated by fish from the Shubenacadie and Hudson rivers, with an increasing proportion of Potomac River fish over time. In contrast to results from adult tagging studies, southern stocks were virtually absent. These data suggest ontogenetic shifts in migratory behavior. The thesis concludes with a report that water contributed 83% of Sr and 98% of Ba in the otoliths of a marine fish.

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Experimental Design and Sampling Strategies for Mixed-Stock Analysis

Cited by 12 publications

References 96 publications

Considerations on sampling strategies for an holistic approach to stock identification: The example of the HOMSIR project

Considerations on sampling strategies for an holistic approach to stock identification: The example of the HOMSIR project

Discrimination of fish populations using parasites: Random Forests on a ‘predictable’ host-parasite system

Migratory patterns of American shad (Alosa sapidissima) revealed by natural geochemical tags in otoliths

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