Fish growth responses to a changing environment: effects of aquatic nuisance species and environmental conditons in a shallow, eutrophic lake

Katzenmeyer, Eric Daniel

doi:10.31274/etd-180810-1635

Cited by 3 publications

(5 citation statements)

References 60 publications

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“…In contrast, forage availability and inter-and intraspecific competition might not be an issue in aquaculture systems (Noble et al 2007). The influence of temperature on fish growth has been widely studied; optimal temperatures for growth have been determined for several species (Pörtner et al 2001, Handeland et al 2008, Katzenmeyer 2010. In particular, an important factor affecting fish growth is stocking density; its effect on growth performance and yield has been studied extensively (Rieman and Myers 1992, Apu et al 2012, Long et al 2019).…”

Section: Discussionmentioning

confidence: 99%

“…La influencia de la temperatura en el crecimiento de los peces ha sido ampliamente estudiada. Se han determinado las temperaturas óptimas de crecimiento para varias especies (Pörtner et al 2001, Handeland et al 2008, Katzenmeyer 2010. En particular, un factor importante que afecta el crecimiento de los peces es la densidad de cultivo; su efecto sobre el crecimiento y el rendimiento se ha estudiado ampliamente (Rieman y Myers 1992, Apu et ).…”

Section: Discussionunclassified

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Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests

Jurado-Molina¹,

Hernández-López

Hernández

2023

Cienc. Mar.

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In commercial fish farming, growth performance is the most influential factor in economic profitability; so, biomass optimization has become a growing concern. We analyzed the influence of 3 harvest densities (15, 20, and 22 kg·m–3) on the growth of spotted rose snappers reared in floating net cages during a production cycle. To assess the impact of stocking density on growth performance, we used 2 indicators: final total length-at-age (12 months) and the growth rate estimated from growth models (von Bertalanffy, logistic, and Gompertz). For the first indicator, we tested for normality. We did the Kruskal–Wallis and the post hoc Kruskal–Wallis tests to compare the mean total final length from each density. Accordingly, the means of densities D15 and D20 were the same (P value = 0.22). For the second indicator, we fitted the models with the subroutine optim of the R statistical package using the L-BFGS-B algorithm. Model selection was made with the Akaike and the Bayesian information criteria. Both criteria suggested that the logistic model fitted the data best. With the best model (logistic), we did 1,000 bootstrap simulations for each density scenario to determine the distribution of the maximum likelihood estimation for the instantaneous growth rate. Because the estimates were normally distributed, we used ANOVA to test the equality of the instantaneous growth. The Tukey HSD test suggested that all means were statistically different from each other. The fastest growth rate (K = 0.275) corresponded to the cage with a density of 20 kg·m–3. These findings demonstrate that the logistic model can predict the growth of spotted rose snappers under culture conditions using floating net cages. These results strengthen the productive potential and economic profitability of snapper aquaculture using floating cage and may help the start of commercial scale aquaculture.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionunclassified

Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests

Jurado-Molina¹,

Hernández-López

Hernández

2023

Cienc. Mar.

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“…In addition, ω, which is roughly equivalent to the product of L ∞ and k and corresponds to the growth rate near t 0 , was estimated and is recommended for statistical comparisons (Gallucci and Quinn ) because of the strong negative correlation of L ∞ and k . The original von Bertalanffy growth model can be reparameterized using ω, and the equation is

L false(t false) = ω / k false[1 - e^{- k false(t - t_{0} false)} false] .

The ω term was compared across time periods for each species using pairwise t ‐tests (Katzenmeyer ).…”

Section: Methodsmentioning

confidence: 99%

“…The ω term was compared across time periods for each species using pairwise t-tests (Katzenmeyer 2010). For Common Carp and Walleye the approach of Jackson et al (2008) and Quist et al (2003) was followed to convert lengths at age to the relative growth index (RGI).…”

Section: Fish Growth Changes In a Midwestern Lakementioning

confidence: 99%

Fish Growth Changes over Time in a Midwestern U.S. Lake

et al. 2019

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Growth of Walleyes Sander vitreus, Yellow Bass Morone mississippiensis, Common Carp Cyprinus carpio, and Black Bullheads Ameiurus melas was assessed in Clear Lake, Iowa, over several decades and in relation to environmental variables. Growth of Common Carp was positively correlated with phytoplankton concentration. Recent Black Bullhead growth was faster than in the 1950s and 1990s, which may be a consequence of their recent decline in abundance. Growth of Common Carp and Yellow Bass was faster in the 1940s than in more recent time periods. Relative to their entire range, Common Carp first‐year growth was below average, whereas length at later ages was above average. Walleye relative growth showed a similar pattern. The large changes in growth over several decades suggest that as the Clear Lake ecosystem continues to change, growth rates of its important fish species are also likely to continue changing.

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“…A more recent experimental study using fluorescent markers demonstrated the formation of so-called lignes d'arrêt de croissance (Meunier andPascal 1981/1982), which provided a physiological basis for their use in a followup assessment of the growth of an individual cohort of carp (Jestin et al 1985). The dorsal spine has been used either as the sole ageing structure (Wichers 1976;Katzenmeyer 2010;Weber et al 2015) or, more often, in conjunction with others (Schoonover and Thompson 1954;Jackson 1955;Sandoz 1960;Starrett and Fritz 1965;Lubinski et al 1984;Colvin et al 2012) (Table S1 in Supporting Information). Different sectioning planes along the length of the dorsal spine have been shown to result in deviations in back-calculated growth from annuli (Wichers 1976).…”

Section: Dorsal Spinementioning

confidence: 99%

Age determination in common carp Cyprinus carpio: history, relative utility of ageing structures, precision and accuracy

Vilizzi

2018

Rev Fish Biol Fisheries

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The common carp Cyprinus carpio is one of the most widely-distributed freshwater fishes in the world. Due to its value for conservation and fisheries in several native/translocated areas of distribution and its detrimental effects on the aquatic ecosystem in most invasive areas, robust age-based population dynamics models are required for successful management of this species. The present study provides a global review of age determination in carp, including a historical account of ageing methods, an assessment of the relative utility of ageing structures, and an evaluation of precision and accuracy (i.e. validation) of age estimates. Historically, scales were by far the most widely-employed structure, followed by the operculum, otolith, dorsal spine, vertebra and fin ray. However, in countries where carp is categorised as 'high risk' of impact, use of alternative structures to the scale was predominant. Causal criteria analysis showed scales and opercula to provide inconsistent evidence for successful annulus identification/counting, whereas consistent evidence was found for otoliths, dorsal spines, vertebrae and (pectoral) fin rays. Precision was always above reference thresholds for scales, whereas for otoliths, dorsal spines and fin rays was in several cases below. Accuracy was addressed sporadically and mostly in high-risk countries. It is suggested that dorsal spines or pectoral fin rays should be used in lieu of scales as non-lethal ageing structures, and otoliths (or vertebrae, pending more research) otherwise, and that validation should always be attempted as part of the set-up of more appropriate ageing protocols and use of correct terminology.

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Fish growth responses to a changing environment: effects of aquatic nuisance species and environmental conditons in a shallow, eutrophic lake

Cited by 3 publications

References 60 publications

Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests

Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests

Fish Growth Changes over Time in a Midwestern U.S. Lake

Age determination in common carp Cyprinus carpio: history, relative utility of ageing structures, precision and accuracy

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