Effects of population size/age structure, condition and temporal dynamics of spawning on reproductive output in Atlantic cod (Gadus morhua)

Scott, Beth E.; Marteinsdóttir, Guðrún; Begg, Gavin A.; Wright, Peter J.; Kjesbu, Olav Sigurd

doi:10.1016/j.ecolmodel.2005.05.015

Cited by 105 publications

(90 citation statements)

References 44 publications

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“…and SSB does not contradict the fact that a significant relationship has been found for the same stock in other studies using R in absolute numbers (i.e., Rätz and Lloret 2005). Nevertheless, it is also important to stress that part of the observed variability around the relationship between SSB and R s might be dependent on other factors, as structure of the stock (i.e., maternal effect; Marshall et al 1998), changes in fecundity and conditions of the spawners (Olsen et al 2005, Scott et al 2006 and Allee effect (Frank and Brickman 2000), although the investigation of these factors was beyond the scope of the paper. The historical dynamic of fish stocks is usually related to both natural external factors and anthropogenic influences, among which fishery is generally considered the most important (Myers and Worm 2003).…”

Section: Discussionmentioning

confidence: 49%

“…We are aware that SSB does not completely reflect the reproductive potential of a stock. For example, stock structure (i.e., proportion of older individuals, see Marshall et al 1998;Cardinale and Arrhenius 2000) and/or variability in fecundity or condition of the spawners (e.g., Olsen et al 2005, Scott et al 2006 are not included in SSB estimation, although they are known to affect the reproductive output of the stock. However, SSB is the only estimate of the reproductive potential that is available for every stock, has a sufficiently long time series, and is consistently calculated to allow for comparisons among North Atlantic fish species.…”

Section: Discussionmentioning

confidence: 99%

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Disentangling the Effect of Adult Biomass and Temperature on the Recruitment Dynamics of Fishes

Cardinale¹,

Hjelm²,

Casini³

2008

Resiliency of Gadid Stocks to Fishing and Climate Change

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Here we analyzed the relation between recruitment dynamic (recruitment or recruitment success) and temperature of 57 commercial fish stocks of the North Atlantic. We showed that, although the effect of temperature was generally significant, spawning biomass is the main factor governing recruitment dynamic. A significant effect of spawning biomass was evident for 67% of all stocks analyzed in this study. For gadoids, the effect of spawning biomass was larger than the effect of temperature (both in terms of number of stocks and proportion of variance explained). For clupeids, spawning biomass was more important than temperature for a higher number of stocks, but the strength of the two effects, when present, was similar. Also, stocks living in colder and warmer areas showed, respectively, a positive and negative response to temperature for both families. Our results highlight that failing to account for spawning biomass effect in climate-recruitment studies could mask the influence of climate variability on recruitment dynamic. In this context, although management of several exploited fish populations cannot be entirely decoupled from the effect of climate on stock reproductive success, it is likely that the observed changes in exploited fish population dynamics are mainly the consequences of an unsustainable human impact and not climate changes.

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Section: Discussionmentioning

confidence: 49%

Section: Discussionmentioning

confidence: 99%

Disentangling the Effect of Adult Biomass and Temperature on the Recruitment Dynamics of Fishes

Cardinale¹,

Hjelm²,

Casini³

2008

Resiliency of Gadid Stocks to Fishing and Climate Change

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“…If so, the number of eggs spawned would not just be a function of spawning stock biomass but also of temperature, an effect not considered in our model. It is also possible that egg quality may have been influenced by the temperature regime and the onset of spawning, a factor shown to be important for fish such as Atlantic cod (Scott et al, 2006).…”

Section: Predictive Fisheries Models and The Mechanism Proposed For Tmentioning

confidence: 99%

A catch forecast model for the Peruvian scallop (Argopecten purpuratus) based on estimators of spawning stock and settlement rate

Wolff

Taylor

Mendo

et al. 2007

Ecological Modelling

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a b s t r a c tThe Peruvian Bay scallop (Argopecten purpuratus) fishery in Independencia bay (Southern Peru) is being subjected to great inter-annual variability in catch and effort. This is mainly due to the ENSO (El Niño-Southern oscillation)-caused changes in the population dynamics of the stock, which greatly proliferated during the El Niño events 1983 and 1998. As a consequence "gold rush" conditions arose and resource users profited from a multi-million dollar export business. After the El Niño booms, the system normalized and catches dropped to normal levels. This boom and bust situation has made a rational management of the resource difficult, and annual catches are considered unpredictable, just like the stochastic environment. This paper attempts to provide a catch forecast model to enable the scallop fishery to better prepare for and adapt to the ever-changing conditions of the scallop stock.The model proposes that annual catches are mainly the result of the recruitment success of the incoming new cohort, which is a function of adult spawning stock size and the number of settlers to the sea bottom. The latter is considered a function of the larval mortality rate and the temperature-dependent development time to the settlement stage, while the former is proportional to the catches taken over the spawning period (November-April). Using monthly catch and temperature data for the period 1983-2005, we constructed a regression model to predict the catch for the year after the recruitment period (July-June) as a function of (a) the catch during the spawning period (as a proxy for spawning stock biomass) and (b) the settlement factor that was derived from the mean water temperature over the spawning period, an assumed instantaneous larval mortality rate, and the relationship between temperature and larval period to settlement. The resulting multiple regression (R 2 = 0.930) proves that both factors can explain a large part of the inherent variability of the data. The model reveals that annual catches greatly depend on the spawning stock size when temperatures are low, while this factor decreases in importance with increasing temperatures, at which the settlement factor is much more influential instead. These findings are relevant for the stock management: at low temperatures, the maintenance of a large enough spawning stock over the spawning period (November-April) is decisive for the yield of the post-recruitment fishing period thereafter, while at increasing spawning temperatures, spawning stock size is of decreasing importance for determining the yield.

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“…The truncation of the size and age of a harvested population can directly influence the quality of offspring through maternal influences (Longhurst 2002;Scott et al 2006;Sogard et al 2008), which would cause greater fluctuations in recruitment of harvested resources (Marteinsdottir and Thorarinsson 1998;Berkeley et al 2004;Hsieh et al 2006). These negative impacts of larger individual-selective fishing through maternal influences need to be considered in resource management strategies to attain sustainable yields from fishery resources.…”

Section: Plausible Interaction Between Maternal Influences and Femalementioning

confidence: 99%

“…Larger (and/ or older) females produce offspring that have a higher survival rate than offspring from smaller (and/or younger) females, attributing to the maternal influences (Marteinsdottir and Thorarinsson 1998;Vallin and Nissling 2000;Berkeley et al 2004;Rideout et al 2005). Therefore, the truncation of the size (and/or age) of a population can directly influence the qualities of offspring through maternal influences and subsequent recruitment (Longhurst 2002;Scott et al 2006;Sogard et al 2008), and the removal of larger (and/or older) females from populations causes greater fluctuations in recruitment of commercially fished resources compared to pre-fishing conditions (Marteinsdottir and Thorarinsson 1998;Berkeley et al 2004;Hsieh et al 2006;Anderson et al 2008;Venturelli et al 2010). Thus, in these years, fisheries scientists and managers have got recognize the importance of considering the contribution of maternal influences on population dynamics and to protect big old females into management strategies for sustainable yields from fishery resources.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Large Male-Selective Harvesting on Reproduction: Illustration with Large Decapod Crustacean Resources

Sato¹

2012

Aqua-BioSci. Monogr. (ABSM)

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Keywordsbeen reported in many species of vertebrates and invertebrates (e.g. Bianchi et al. 2000;Branch and Odendaal 2003;Roy et al. 2003;Harvey et al. 2006).In a wide range of taxa, body size is one of the key determinants of fitness in both males and females (Andersson 1994). For example, body size is positively correlated with reproductive fitness (e.g. mating success and fecundity). Mostly, larger males are stronger competitors for females (e.g. Hoefler 2007) or can provide more ejaculated sperm (e.g. Jivoff 1997), or better care for the offspring (e.g. Kolm 2002). In females, body size positively correlates with egg size (e.g. Einum and Fleming 1999), number of spawning (e.g. Claramunt et al. 2007), number of eggs spawned (e.g. Evans et al. 2008), or quality of larvae (e.g. Berkeley et al. 2004). Therefore, mate choice is non-random in the majority of animal species (Real 1990), and males and females prefer larger mates mutually (e.g. Sandvik et al. 2000;Herdman et al. 2004; Aquiloni and Gherardi AbstractTo signal a need for caution for present large male-selective harvesting practices, negative impacts of the large male-selective harvesting on reproductive output in large decapod crustacean resources are introduced with emphasis on my own work with spiny king crab Paralithodes brevipes, coconut crab Birgus latro, and the stone crab Hapalogaster dentata. The large male-selective harvestings for several large decapod crustaceans have changed their population demographic structure by decreasing mean male size and skewing sex ratio towards females. By several field and laboratory experiments, the change of population demographic structure was anticipated to decrease female reproductive success in the resources (i.e. reproductive output of the harvested populations) through a decrease in sperm availability for females because of male size-dependent reproductive potentials and slow sperm recovery rate. Furthermore, reproductive output and stability of the large male-selective harvested resources were also anticipated to decline by a decrease in mate availability for females, attributing to combination of female mate choice for larger males with negative effects of female delayed mating and/or maternal influences. To establish the optimal management practices, the details of the mating system and reproductive ecology of each targeted species should be investigated.

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Effects of population size/age structure, condition and temporal dynamics of spawning on reproductive output in Atlantic cod (Gadus morhua)

Cited by 105 publications

References 44 publications

Disentangling the Effect of Adult Biomass and Temperature on the Recruitment Dynamics of Fishes

Disentangling the Effect of Adult Biomass and Temperature on the Recruitment Dynamics of Fishes

A catch forecast model for the Peruvian scallop (Argopecten purpuratus) based on estimators of spawning stock and settlement rate

Impacts of Large Male-Selective Harvesting on Reproduction: Illustration with Large Decapod Crustacean Resources

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