Statistical methods for analysis of plankton and nekton distribution, with application to selective tidal stream transport of juvenile American eels (Anguilla rostrata)

McCleave, James D.; Bedaux, J.J.M.; Doucet, P. G.; Jager, J. C.; Jong, J. T.L.; Steen, Wim J. van der; Voorzanger, Bart

doi:10.1093/icesjms/44.1.90

Cited by 8 publications

(5 citation statements)

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“…For comparison with a distribution of evenly dispersed megalopae, the expected number of megalopae in a particular net was calculated as follows (McCleave et al 1987):…”

Section: Methodsmentioning

confidence: 99%

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Vertical migration of blue crab Callinectes sapidus megalopae: implications for transport in estuaries

Olmi¹

1994

Mar. Ecol. Prog. Ser.

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Following larval development in coastal waters, postlarvae (megalopae) of the blue crab Callinectes sapidus Rathbun enter inlets and, against the net seaward flow of estuarine waters, move upstream to juvenile habitats. Abundance and vertical distribution of blue crab megalopae in the York River, Virginia, USA, a subestuary of Chesapeake Bay, was quantified to examine the hypothesis that megalopae are not transported simply as passive particles, but display behaviors that augment their immigration. Megalopal abundance and depth distribution and environmental variables were measured at shallow (3 to 4 m) sites in 1988 and 1989 and at a deep (10 m) site in 1990. Megalopae were more abundant in the water column during flood than ebb, indicating a net upstream flux of megalopae. Densities were always low during ebb. Highest densities occurred during night flood tides, when megalopae were aggregated near the surface. During day flood tides, megalopae were generally less abundant and distributed deeper in the water column. Occasionally, however, they were abundant during day flood, concentrated near the bottom in deep water. At shallow sites, megalopae were never abundant during day, apparently not ascending into well-lit waters. Abundance and depth distribution of megalopae were not affected by current speed, wind speed, water temperature or salinity. A conceptual model of vertical migration of estuarine blue crab megalopae is presented. Megalopae which behave according to this model should lower their susceptibility to predation in the water column by selectively utilizing flood currents to rapidly reach juvenlle nursery grounds while avoiding well-lit waters.

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“…For comparison with a distribution of evenly dispersed megalopae, the expected number of megalopae in a particular net was calculated as follows (McCleave et al 1987):…”

Section: Methodsmentioning

confidence: 99%

“…Observed and expected distributions were compared by chi-squared goodness of fit tests (Zar 1984, McCleave et al 1987. The observed distribution of densities in each set were then compared to a distribution with the same mean and randomly distributed individuals (Ryan et al 1985).…”

Section: Methodsmentioning

confidence: 99%

Vertical migration of blue crab Callinectes sapidus megalopae: implications for transport in estuaries

Olmi¹

1994

Mar. Ecol. Prog. Ser.

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“…Neaps Springs homogeneous distribution (McCleave et al 1987) shows highly significant differences (p < 0.005). The same model also shows these vertical distributions throughout the water column to be significantly different between flood and ebb tides and between ebb tides and at low water, p < 0.005 for both day and night samples.…”

Section: Springsmentioning

confidence: 98%

“…Numbers obtained during the springsneaps-springs sampling period were standardised for the estimated amount of water filtered. The number of copepods caught per tidal cycle was divided by the estimated maximum velocity at this site for the predicted tidal range, multiplied by the sampling time for flood and ebb tides to give the numbers per estimated m3 Analysis of the distribution of copepods throughout the water column was carried out by regarding each position as a discrete depth and applying the model of McCleave et al (1987). This procedure, however, is complicated by a lack of data on tidal velocities during sampling, so it was necessary to use the logarithmic velocity profile (Bowden 1983) to give estimated velocities for each net, thus compensating for boundary effects.…”

Section: I1mentioning

confidence: 99%

Field studies on retention of the planktonic copepod Eurytemora affinis in a mixed estuary

Hough¹,

Naylor²

1991

Mar. Ecol. Prog. Ser.

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The retention mechanism of a population of the estuarine copepod Eurytemora affinis (Poppe) was determined within a strongly tidal, mixed estuary. Sampling in the water column at sites along the estuary was carried out to assess any tidal, die1 and semilunar patterns of change. The species showed distinct tidal differences in abundance with horizontal position, being maximally abundant on the flood tide at the most seaward site and on the ebb tide at the landward site, suggesting differential tidal swimming, leading to accumulation at an intermediate point. Monitoring over a springs-neapssprings cycle suggested that the position of this point changed over the semi-lunar cycle, with greatest numbers on flood tides over springs and on ebb tides over neaps. This was confirmed by repeated sampling along the length of the estuary, a specific region was identified where very high numbers of E affinis occurred. T h~s horizontal posit~on changed between springs and neaps, apparently maintaining the bulk of the population within a specific salinity zone. Sampling throughout the water column showed these horizontal movements to be facilitated by tidal vertical migrations.

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“…For this reason, no evaluation of Poisson regression compared with NBLIM was attempted in the work presented here; however, White and Bennetts (1996) concluded that Poisson regression performed poorly compared with their negative binomial models (and also when compared with ANOVA) when applied to data sets with overdispersion. McCleave et al (1987) presented yet another approach in their efforts to relate the abundances of American eels (Anguilla rostrata) to depth of capture and tidal cycle. They presented a methodology for their data that assumed a multinomial distribution and used χ 2 goodnessof-fit hypothesis tests, but their method does not permit the incorporation of continuous covariates.…”

Section: Fig 2 Nonlinear Regression Fits Of Thementioning

confidence: 99%

Linear model analysis of net catch data using the negative binomial distribution

Power¹,

Moser²

1999

Can. J. Fish. Aquat. Sci.

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Sampling with nets or trawls remains a common technique for determining the comparative abundances of aquatic organisms, and the objective of such studies is frequently to evaluate relationships among the counts of individuals caught and exogenous variables. Analysis of such data is often done with a general linear model (e.g., ANOVA, ANCOVA, regression), assuming an underlying normal probability distribution. Such analyses are not fully satisfactory because of the symmetry and continuous nature of the assumed normal probability distribution and the high variance to low mean value relationships common to counts of biological populations. The negative binomial is a discrete probability distribution that is recognized as a suitable descriptor of organism count data. We present an approach for undertaking linear model analyses of net catch data that permits estimation of model parameters (including the negative binomial k parameter) and hypothesis testing of both continuous and discrete model effects and their interactions using bootstrap replication. The analysis incorporates adjustment for varying element sizes, such as differences in the amounts of water filtered during sampling.Résumé : L'échantillonnage au filet droit ou au chalut reste une technique couramment utilisée pour mesurer et comparer l'abondance des organismes aquatiques, et l'objectif de ces études est souvent d'évaluer les relations entre les effectifs des individus capturés et certaines variables exogènes. L'analyse de ces données se fait souvent à l'aide d'un modèle linéaire général (p.ex. analyse de variance, analyse de covariance, régression) supposant à la base une distribution normale des probabilités. De telles analyses ne sont pas parfaitement satisfaisantes à cause de la symétrie et de la nature continue de la distribution normale supposée des probabilités, et des relations entre la forte variance et la faible valeur moyenne qui caractérisent les dénombrements des populations vivantes. La distribution binômiale négative est une distribution discrète qui est considérée comme un descripteur acceptable des données de dénombrement des organismes. Nous présentons un mode d'analyse par modèle linéaire des données sur les prises au filet qui permet d'estimer les paramètres du modèle (y compris le paramètre k de la distribution binômiale négative) et de vérifier l'hypothèse sur les effets à la fois continus et discrets du modèle et leurs interactions avec la réplication par bootstrap. L'analyse intègre un ajustement pour des tailles variables des éléments, comme des différences dans les quantités d'eau filtrées pendant l'échantillonnage.[Traduit par la Rédaction] Power and Moser 200

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Statistical methods for analysis of plankton and nekton distribution, with application to selective tidal stream transport of juvenile American eels (Anguilla rostrata)

Cited by 8 publications

References 0 publications

Vertical migration of blue crab Callinectes sapidus megalopae: implications for transport in estuaries

Vertical migration of blue crab Callinectes sapidus megalopae: implications for transport in estuaries

Field studies on retention of the planktonic copepod Eurytemora affinis in a mixed estuary

Linear model analysis of net catch data using the negative binomial distribution

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