Growth in the brown shrimp Crangon crangon. II. Meta-analysis and modelling

Hufnagl, Marc; Temming, Axel

doi:10.3354/meps09224

Cited by 32 publications

(33 citation statements)

References 66 publications

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“…But contrasting to our finding, a positive correlation was observed in lobsters between a period of rising seawater temperature and (epizootic) shell disease prevalence (Castro et al, 2006;Glenn and Pugh, 2006;Tlusty and Metzler, 2012). In contrast to C. crangon, lobsters do not molt as often as shrimps and retain their shells for a longer timescale (Hufnagl and Temming, 2011b;Hughes and Matthiessen, 1962). Therefore, it might be possible that bacteria living on lobster shells have more time to cause shell disease.…”

Section: Discussioncontrasting

confidence: 56%

“…Each organism has its optimum temperature which is defined as the point at which the reaction rate and physiological performances is maximal (Angilletta et al, 2002;Reiser et al, 2014). Comparing the effect of temperature on the growth rates of C. crangon in various studies, Hufnagl and Temming (2011b) observed that the optimal temperature range of adult brown shrimp was between 18 and 22°C. Also Tiews (1970) mentioned a similar optimal temperature range for C. crangon of 15-20°C and Freitas et al (2007) determined 23°C as the optimum temperature.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, it might be possible that bacteria living on lobster shells have more time to cause shell disease. On average, lobster molt only once a year to gain in size or to reproduce whereas shrimps have a faster intermolt period of approximately three weeks (Hufnagl and Temming, 2011b;Hughes and Matthiessen, 1962). Thus, elevated sea water temperatures might not enhance the growth of black spots in diseased brown shrimps, but instead promoted the relief of the disease due to a higher molting rate (see e.g.…”

Section: Discussionmentioning

confidence: 99%

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Shell disease in Crangon crangon (Linnaeus, 1758): The interaction of temperature and stress response

Segelken-Voigt

Miller

Gerlach

2018

Journal of Experimental Marine Biology and Ecology

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A B S T R A C TThe prevalence of black spot shell disease is increasing among marine crustaceans worldwide. Rising seawater temperatures -often stressful for ectothermic species -are assumed to enhance the occurrence of shell disease. In the North Sea > 50% of local populations of the brown shrimp (Crangon crangon) are affected by the disease. While fisheries are suffering because diseased crustaceans are barely merchantable, the impact of shell disease on life history traits of crustaceans is little understood. To determine the role of temperature on the development of black spots and its implications for survival and physiology in the brown shrimp, a prolonged (3 months) thermal stress experiment was performed. We measured the increment of shell disease and the effect of molting in shrimps kept at control (15°C = equivalent to the seafloor temperature in the North Sea during sampling) and increased temperature (20°C = according to predictions for the end of the century). The resting metabolic rate was analyzed to determine the physiological state of diseased compared to non-diseased animals. In the present study, the warmer temperature in the range of 20°C did not increase the spot size of shell disease and no differences were observed between the two temperatures. The process of molting thereby seemed to diminish and in most of the cases even completely remove the signs of shell disease. At 15°C but not at 20°C, metabolic rate was reduced in diseased in contrast to healthy individuals. This study showed that shell disease might lead to a higher mortality rate and an impairment of the physiological state in C. crangon.

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Section: Discussioncontrasting

confidence: 56%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Shell disease in Crangon crangon (Linnaeus, 1758): The interaction of temperature and stress response

Segelken-Voigt

Miller

Gerlach

2018

Journal of Experimental Marine Biology and Ecology

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“…This variability resulted in significant random effects (individual shrimps) in both models. Such considerable individual variability in growth patterns had previously been described for the same studied populations (Campos et al 2009), as well as for shrimps from the North Sea (Hufnagl & Temming 2011a) and from other locations (for a summary table see Hufnagl & Temming 2011b). As a consequence of this individual variability, field populations consist as a mix of fast-and slow-growing shrimps.…”

Section: Discussionmentioning

confidence: 95%

Age estimation of brown shrimp Crangon crangon: comparison of two approaches applied to populations at the biogeographic edges

Campos¹,

Bio²,

Freitas³

et al. 2013

Aquat. Biol.

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In this study, 2 methods for age estimation of Crangon crangon were compared: one based on total length, the other based on the number of segments in the antennules, as suggested by Tiews' findings (1954: Ber Deut Wiss Kommiss 13:235−269). Shrimps from populations near the species' geographic edges, from Valosen Estuary (Norway) in the north and the Minho Estuary (Portugal) in the south, were used. These showed great individual variability in shrimp size growth and in antennule segment number increment, due to the presence of fast-and slow-growing shrimps in the 2 populations, implying that shrimps of different ages may have similar sizes, as well as similar segment numbers. Additionally, the origin of shrimp population, sex, length and segment number, and water temperature were found to influence growth, both in the length-and the segment-increment models, often being interacting parameters. Both methods resulted in growth curves similar to a typical von Bertalanffy growth curve. The growth rate was higher for females than for males and positively related to temperature; the maximum size was also larger for females. In contrast, maximum segment number was larger for males than for females, as has also been found by Tiews (1954). The 2 models resulted in considerably different age estimates, particularly for older shrimps (i.e. shrimps of larger size or with more antennule segments). The models also suggest site-specific growth rates. Any age estimation approach will therefore need to be validated for each population. KEY WORDS: Crangon crangon · Age estimation · Growth · Moult · Temperature · LatitudeResale or republication not permitted without written consent of the publisher Aquat Biol 19: 167-184, 2013 requires optimum conditions, which under natural environments are seldom observed.Results from these works cannot be generalized for the entire geographic range of the species, given the latitudinal compensation which has recently been described for the growth rate under controlled food and temperature conditions (Campos et al. 2009). Instead of a reduced growth rate of northern shrimps following the latitudinal thermal gradient, as would be expected (i.e. assuming that the lower temperature regime at higher latitudes slows down growth), a 'latitudinal compensation' was observed, whereby northern shrimps grew faster than shrimps from a southern population kept at the same temperature regime. In contrast, a recent field-based study near the southern limit of the species' distribution speculates that southern shrimps grow more slowly, mature earlier and have smaller brood sizes, and that their larvae have a more protracted settlement period than northern populations (Viegas et al. 2012). However, the comparison was made between non-contemporaneous studies, which limits conclusions, since inter-annual fluctuations in both shrimp abundance (Campos et al. 2010) and timing of biological stages are frequent (e.g. Oh et al. 1999).Growth studies on crustaceans are further problematical because no hard str...

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“…This species is very common and abundant in the shallow areas of the German Bight (Siegel et al 2008), plays an important role in the energy transfer within marine food webs (Pihl and Rosenberg 1984;Campos et al 2009) and sustains an important fishery with annual captures exceeding 35,000 tons (ICES 2010). The complex life cycle of C. crangon comprises a benthic juvenile-adult and a pelagic larval phase (Tiews 1970;Hufnagl and Temming 2011), which are tightly linked (Daewel et al 2011;Viegas et al 2012). It is thus necessary to also investigate traits of the early life-history phases, which may influence the population dynamics.…”

Section: Introductionmentioning

confidence: 99%

Seasonal variations in larval biomass and biochemical composition of brown shrimp, Crangon crangon (Decapoda, Caridea), at hatching

Urzúa

Anger

2012

Helgol Mar Res

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The ''brown shrimp'', Crangon crangon (Linnaeus 1758), is a benthic key species in the North Sea ecosystem, supporting an intense commercial fishery. Its reproductive pattern is characterized by a continuous spawning season from mid-winter to early autumn. During this extended period, C. crangon shows significant seasonal variations in egg size and embryonic biomass, which may influence larval quality at hatching. In the present study, we quantified seasonal changes in dry weight (W) and chemical composition (CHN, protein and lipid) of newly hatched larvae of C. crangon. Our data revealed significant variations, with maximum biomass values at the beginning of the hatching season (February-March), a decrease throughout spring (April-May) and a minimum in summer (June-September). While all absolute values of biomass and biochemical constituents per larva showed highly significant differences between months (P \ 0.001), CHN, protein and lipid concentrations (expressed as percentage values of dry weight) showed only marginally significant differences (P \ 0.05). According to generalized additive models (GAM), key variables of embryonic development exerted significant effects on larval condition at hatching: The larval carbon content (C) was positively correlated with embryonic carbon content shortly after egg-laying (r 2 = 0.60; P \ 0.001) and negatively with the average incubation temperature during the period of embryonic development (r 2 = 0.35; P \ 0.001). Additionally, water temperature (r 2 = 0.57; P \ 0.001) and food availability (phytoplankton C; r 2 = 0.39; P \ 0.001) at the time of hatching were negatively correlated with larval C content at hatching. In conclusion, ''winter larvae'' hatching from larger ''winter eggs'' showed higher initial values of biomass compared to ''summer larvae'' originating from smaller ''summer eggs''. This indicates carry-over effects persisting from the embryonic to the larval phase. Since ''winter larvae'' are more likely exposed to poor nutritional conditions, intraspecific variability in larval biomass at hatching is interpreted as part of an adaptive reproductive strategy compensating for strong seasonality in plankton production and transitory periods of larval food limitation.

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Growth in the brown shrimp Crangon crangon. II. Meta-analysis and modelling

Cited by 32 publications

References 66 publications

Shell disease in Crangon crangon (Linnaeus, 1758): The interaction of temperature and stress response

Shell disease in Crangon crangon (Linnaeus, 1758): The interaction of temperature and stress response

Age estimation of brown shrimp Crangon crangon: comparison of two approaches applied to populations at the biogeographic edges

Seasonal variations in larval biomass and biochemical composition of brown shrimp, Crangon crangon (Decapoda, Caridea), at hatching

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