Spatial variability in the growth rate of blue whiting (Micromesistius poutassou) larvae at the shelf edge west of the UK

Bailey, M. C.; Heath, M.

doi:10.1016/s0165-7836(00)00243-5

Cited by 26 publications

(26 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Higher (but not significant) correlations between SST at the Bass Strait sites nearer to Port Phillip Bay and increment groups towards the end of the increment width series are consistent with transport of larvae from west to east. Increased SST may also be related to increased plankton productivity in the region, further enhancing larval growth (Harris et al 1988;Bailey and Heath 2001).…”

Section: Discussionmentioning

confidence: 99%

“…Increased water temperature would have a direct positive effect on larval growth rate but also may be indicative of other physical processes (Bailey and Heath 2001). Recruitment variation in King George whiting post-larvae at a spatial scale of tens of kilometres in Port Phillip Bay (Jenkins et al 1997(Jenkins et al , 1999, and at temporal scales of weeks to months (Jenkins and Black 1994;Jenkins et al 1997), has been shown to result from variation in passive larval transport related to low-frequency hydrodynamics.…”

Section: Discussionmentioning

confidence: 99%

“…Because growth rate of larvae reflects temperature and productivity conditions of the water mass (Bailey and Heath 2001), growth is a potential indicator of different water masses that may have different transport characteristics (Hare and Cowen 1997). The interaction of larval transport and growth-enhanced survival could be synergistic or antagonistic depending on whether water masses favourable for growth are associated with favourable or unfavourable larval transport.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Variation in larval growth can predict the recruitment of a temperate, seagrass-associated fish

Jenkins

King

2006

Oecologia

View full text Add to dashboard Cite

Understanding the factors leading to inter-annual variation in recruitment of animals with complex life cycles is a key goal for ecology and the sustainable management of animal resources, such as fisheries. We used otolith microstructure to determine larval growth rates of post-larval King George whiting, Sillaginodes punctata, in seagrass beds of Port Phillip Bay, Australia. Inter-annual variation in growth determined early in the pelagic, offshore larval-stage was highly correlated with post-larval abundance (a predictor of fishery recruitment). Sea surface temperature measured near the presumed spawning area off Western Victoria was significantly correlated with larval growth, and was also significantly correlated with post-larval abundance in Port Phillip Bay. Increased water temperature would have had the direct effect of increasing larval growth and therefore contributing to larval survival, but may also have been indicative of enhanced physical transport and/or plankton productivity. Overall, larval growth rate of King George whiting is a very strong predictor of post-larval abundance, which in turn will influence fishery recruitment in 3-5 years' time.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Variation in larval growth can predict the recruitment of a temperate, seagrass-associated fish

Jenkins

King

2006

Oecologia

View full text Add to dashboard Cite

show abstract

“…However, growth can be inhibited long before weight-at-length is affected (see e.g. Bailey & Heath 2001); therefore, these larvae might have already shown reduced growth rates for quite some time. Thus, the low feeding intensities, particularly of larvae > 3.5 mm, suggest that in 1994 a considerable proportion of blue whiting larvae was growth-limited.…”

Section: Feeding and Wind Stressmentioning

confidence: 99%

Wind-mixing effects on feeding success and condition of blue whiting larvae in the Porcupine Bank area

Kloppmann¹,

Hillgruber²,

Westernhagen³

2002

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

Prey environment, feeding success and condition of blue whiting Micromesistius poutassou larvae were analysed in contrasting meteorological situations west of Ireland in the spring of 2 consecutive years (1994 and 1995). While larval abundance in both years of the study was approximately equal, there were marked differences in the physical and biological environment between the 2 years. 1994 was characterised by strong, unidirectional wind stress, which probably caused the low overall abundance of prey organisms recorded in this year. Abundance of copepod eggs and nauplii was considerably higher in 1995, when wind speeds were lower and wind direction was more variable. Copepod nauplii were also significantly larger than in 1994. Larval feeding success in both years was highly variable, but with considerably higher feeding intensities in 1995 than in 1994. For the determination of larval condition, 3 different condition indices were used, Fulton's K index (FCI) and body height to body length ratio for between-year comparison, and carbon and nitrogen content for estimation of immediate effects of wind stress on larval condition. In 1994, the FCI of blue whiting larvae was significantly lower than in 1995, and 11% of the larvae were significantly lighter at length than their conspecifics, suggesting that a part (11%) of the larval population at any one time fed less successfully at low prey density and high turbulence levels. No differences between the years were observed using the index of body height at the anus versus standard length. Analyses of relative C and N content of blue whiting larvae in relation to varying wind stress showed that while wind stress had a minor negative effect on C content, relative N content was significantly reduced with increasing wind speed, indicating that at periods of high wind-mixing more protein is catabolised in order to satisfy increasing energy demands, thus leaving less material to be assimilated for growth.

show abstract

“…Ecologists are concerned with understanding the causes of variation of ecological processes through spatial and temporal scales (Benedetti-Cecchi 2003). The effect of spatial and temporal variations in growth has been documented for marine taxa, such as fish (Norbis et al 1999;Jeffery and Taggart 2000;Bailey and Heath 2001), cephalopods (Jackson and Choat 1992;Jackson and Moltschaniwskyj 2002;Challier et al 2002) and bivalves (Witbaard 1996). Ecosystem variability affects biological parameters, such as mortality rate, life span, fecundity, maturity and growth and thereby affects models of population dynamics.…”

Section: Introductionmentioning

confidence: 99%

Introducing inter-individual growth variability in the assessment of a cephalopod population: application to the English Channel squid Loligo forbesi

Challier¹,

Orr

Robin³

2006

Oecologia

View full text Add to dashboard Cite

A new approach is presented here to better take into account inter-individual growth variability in age-structured models used for stock assessment. Cohort analysis requires knowledge of the age structure of the catch, generally derived from an age-length key and length-structure information. Age distribution at length is estimated by applying conditional quantile regression to a data set of lengths and ages estimated from calcareous parts. A "stochastic" age-length key that describes the probability of age-at-length is applied to the English Channel squid Loligo forbesi. Age distribution at length from quantile regression proved to be considerably less biased than that resulting from both polymodal decomposition (PD) and two separate slicing methods. Both catch-at-age and stock size were underestimated using classical methods. Estimations of fishing mortalities from classical methods were higher causing underestimation in yield simulations. Quantile regression offers a more complete statistical analysis of the stochastic relationships among random variables than mean regression and PD.

show abstract

Spatial variability in the growth rate of blue whiting (Micromesistius poutassou) larvae at the shelf edge west of the UK

Cited by 26 publications

References 21 publications

Variation in larval growth can predict the recruitment of a temperate, seagrass-associated fish

Variation in larval growth can predict the recruitment of a temperate, seagrass-associated fish

Wind-mixing effects on feeding success and condition of blue whiting larvae in the Porcupine Bank area

Introducing inter-individual growth variability in the assessment of a cephalopod population: application to the English Channel squid Loligo forbesi

Contact Info

Product

Resources

About