Marine fish life history strategies: applications to fishery management

King, Jacquelynne R.; McFarlane, Gordon A.

doi:10.1046/j.1365-2400.2003.00359.x

Cited by 304 publications

(248 citation statements)

References 33 publications

Supporting

Mentioning

239

Contrasting

Unclassified

Order By: Relevance

“…Fishery resources associated with seamounts are particularly susceptible to disturbances caused by fluctuations in environmental conditions and fishing pressure (Pitcher et al 2007). One of the reasons for this high vulnerability is related to the k-strategy (slow growth rate, high longevity, late maturity and low fecundity) (King and Mcfarlane 2003) shown by the majority of the species that occur on seamounts, making them extremely sensitive to fishing exploitation.…”

Section: Introductionmentioning

confidence: 99%

Age, growth and mortality of <i>Pontinus kuhlii</i> (Bowdich, 1825) (Scorpaeniformes: Scorpaenidae) in the Gorringe, Ampère, Unicorn and Lion seamounts

Paiva¹,

Neves²,

Sequeira³

et al. 2013

Sci. Mar.

View full text Add to dashboard Cite

SUMMARY: Age and growth of Pontinus kuhlii were studied using otoliths of 153 males and 148 females, with males having a greater length (and age) than females. A high level of agreement was achieved among readers. Due to gear selectivity, only ages above 7 years (males) and 8 years (females) were estimated in whole otoliths. To estimate length-at-age in younger specimens, backcalculation was also considered but its use in otoliths with ages greater than 22 years was not possible because the growth rings were too close to each other. Von Bertalanffy growth parameters were estimated by sex using each of these methods and also using an approach that combines mean length-at-age obtained from backcalculation and direct reading on the otoliths. The likelihood ratio test showed significant differences between sexes in the three approaches and Akaike's information criterion suggests that the backcalculation approach was the best one for describing P. kuhlii growth: TL=38.89[1-e (-0.07(t+1.96)) ] and TL=56.50[1-e (-0.04(t+1.87)) ] for females and males, respectively. Natural mortality estimates varied around 0.15 year -1 and 0.07 year -1 for females and males, while the total mortality estimated for 2011 was 0.33 year -1 for females and 0.21 year -1 for males.Keywords: Pontinus kuhlii, offshore rockfish, whole otoliths, precision estimators, age and growth, Scorpaenidae, mortality. RESUMEN: Edad, crEcimiEnto y mortalidad dE Pontinus kuhlii (Bowdich, 1825) (ScorpaEniformES: ScorpaEnidaE) En loS montES SuBmarinoS dE GorrinGE, ampèrE, unicorn y lion. -La edad y crecimiento de Pontinus kuhlii se ha estudiado a partir de otolitos de 153 machos y 148 hembras, alcanzando los machos una talla mayor (y edad) que las hembras. Un alto nivel de acuerdo fue alcanzado entre los lectores. Debido a la selectividad del arte de pesca, sólo las edades de más de 7 años (machos) y 8 años (hembras) pudieron ser estimadas en otolitos enteros. Para la estimación de la talla por edad en los ejemplares más jóvenes, el retrocálculo también fue considerado, pero su uso en los otolitos con edades mayores de 22 años no fue posible, ya que los anillos de crecimiento se encontraban demasiado cerca unos de los otros. Los parámetros de crecimiento, ajustados a la ecuación de Von Bertalanffy, fueron estimados por sexo con ambos métodos, y también a partir de otro que combina la talla media por grupo de edad obtenida a partir del retrocálculo y de la lectura directa en los otolitos. La prueba de máxima verosimilitud mostró diferencias significativas entre sexos en los tres métodos y el criterio Akaike de información sugiere que el retrocálculo fue el mejor para describir el crecimiento de P. kuhlii: TL=38.89[1-e (-0.07(t+1.96)) ] y TL=56.50[1-e (-0.04(t+1.87)) ] para las hembras y machos, respectivamente. La estimación de la mortalidad natural varió entre 0.15 año -1 y 0.07 año -1 para hembras y machos, mientras que la mortalidad total estimada para 2011 fue de 0.33 año -1 para las hembras y 0.21 año -1 para los machos.Palabras clave: Pontinus kuhlii, rasc...

show abstract

Section: Introductionmentioning

confidence: 99%

Age, growth and mortality of <i>Pontinus kuhlii</i> (Bowdich, 1825) (Scorpaeniformes: Scorpaenidae) in the Gorringe, Ampère, Unicorn and Lion seamounts

Paiva¹,

Neves²,

Sequeira³

et al. 2013

Sci. Mar.

View full text Add to dashboard Cite

show abstract

“…In marine ecosystems, the well-publicized declines of large predatory fishes (4,5) suggest that similar trends may also be common in the sea. However, research to date has found or proposed a wide range of life-history characteristics that cause high vulnerability, including large body size (6)(7)(8)(9), late maturity (6,9), long lifespan (6,(8)(9)(10)(11), low fecundity and high parental investment in offspring (11,12), or high trophic level (2,13). Understanding which traits, or combinations of traits, are most useful for predicting vulnerability has been difficult because analyses have been limited to regional comparisons or narrow species groups, and because reliable global data have not been available to more broadly test which types of fishes are most likely to suffer fisheries collapse.…”

mentioning

confidence: 99%

Unexpected patterns of fisheries collapse in the world's oceans

Pinsky

Jensen

Ricard

et al. 2011

Proc. Natl. Acad. Sci. U.S.A.

215

157

View full text Add to dashboard Cite

Understanding which species are most vulnerable to human impacts is a prerequisite for designing effective conservation strategies. Surveys of terrestrial species have suggested that largebodied species and top predators are the most at risk, and it is commonly assumed that such patterns also apply in the ocean. However, there has been no global test of this hypothesis in the sea. We analyzed two fisheries datasets (stock assessments and landings) to determine the life-history traits of species that have suffered dramatic population collapses. Contrary to expectations, our data suggest that up to twice as many fisheries for small, low trophic-level species have collapsed compared with those for large predators. These patterns contrast with those on land, suggesting fundamental differences in the ways that industrial fisheries and land conversion affect natural communities. Even temporary collapses of small, low trophic-level fishes can have ecosystem-wide impacts by reducing food supply to larger fish, seabirds, and marine mammals.body size | ecosystem-based management | food webs | life-history theory | marine conservation O verfishing is one of the most serious conservation concerns in marine ecosystems (1), but understanding which species are most at risk remains a challenge. On land, life-history traits are strong predictors of extinction risk (2), and vulnerable species often have large body size and high trophic level (2, 3). In marine ecosystems, the well-publicized declines of large predatory fishes (4, 5) suggest that similar trends may also be common in the sea. However, research to date has found or proposed a wide range of life-history characteristics that cause high vulnerability, including large body size (6-9), late maturity (6, 9), long lifespan (6, 8-11), low fecundity and high parental investment in offspring (11, 12), or high trophic level (2, 13). Understanding which traits, or combinations of traits, are most useful for predicting vulnerability has been difficult because analyses have been limited to regional comparisons or narrow species groups, and because reliable global data have not been available to more broadly test which types of fishes are most likely to suffer fisheries collapse.In addition, there are reasons to believe that regional or terrestrial life-history trends might not apply globally in the ocean. For example, fishery biologists often recommend higher harvest rates for fast-growing, highly productive species, and lower harvest rates for species with lower productivity (14). Where implemented, these adjustments might reduce the resilience of fastgrowing species and put all harvested species at similar risks of decline. In addition, economic forces or management regime may be more important than life history in determining whether fishing effort is successfully controlled (15,16). Small pelagic species, although often possessing a rapid growth rate, are also highly catchable, and therefore susceptible to overfishing (17). Finally, the conflict with human development that is ...

show abstract

“…Contemporary approaches to inform stock vulnerability or status for data-poor situations take the form of state indicators (Garcia and Staples 2000;Jennings 2005), qualitative risk assessments (Stobutzki et al 2001), and inferences about vulnerability based on life history characteristics (Musick et al 2000;King and McFarlane 2003). Such approaches strive to apply transparent protocols to simple or limited data.…”

mentioning

confidence: 99%

Length‐Based Reference Points for Data‐Limited Situations: Applications and Restrictions

2009

View full text Add to dashboard Cite

Current fisheries management policies generally require an assessment of stock status, which is a difficult task when population and fisheries data are limited. Three simple metrics based on catch length compositions (i.e., that reflect exclusive take of mature individuals, P mat; that consist primarily of fish of optimal size, the size at which the highest yield from a cohort occurs, P opt; and that demonstrate the conservation of large, mature individuals, P mega) can be used to monitor population status relative to exploitation. The metrics (collectively referred to as Px) were intended to avoid growth and recruitment overfishing, but there was no quantitative linkage to stock status and calculation of future sustainable catches. We attempt to make this connection by exploring the relationship of Px measures to fishing mortality and spawning biomass (SB). The relationships are compared specifically to the current target reference point (0.4 times the virgin, or unfished, SB [SB0]) and limit reference point (0.25SB0) used for the U.S. West Coast groundfish fishery by using simulations based on a deterministic age‐structured population dynamics model. Sensitivity to fishery selectivity, life history traits, and recruitment compensation (steepness) is explored. Each Px measure showed a wide range of possible values depending on fishery selectivity, steepness, and the ratio of the length at maturity (L mat) to the optimal fishing length (L opt). Although the values of Px may be compatible with sustainable fishing, these values are not always sufficient to ensure stock protection from overfishing. Moreover, values for Px cannot be interpreted adequately without knowledge of the selectivity pattern. A new measure, P obj (the sum of P mat, P opt, and P mega), is introduced to distinguish selectivity patterns and construct a decision tree for development of stock status indicators. Heuristic indicator values are presented to demonstrate the utility of this approach. Although several caveats remain, this approach builds on the recommendations of previous literature by giving further guidance related to interpreting catch length composition data under variable fishery conditions without collecting additional information. It also provides a link to developing harvest control rules that inform proactive fisheries management under data‐limited conditions.

show abstract

Marine fish life history strategies: applications to fishery management

Cited by 304 publications

References 33 publications

Age, growth and mortality of <i>Pontinus kuhlii</i> (Bowdich, 1825) (Scorpaeniformes: Scorpaenidae) in the Gorringe, Ampère, Unicorn and Lion seamounts

Age, growth and mortality of <i>Pontinus kuhlii</i> (Bowdich, 1825) (Scorpaeniformes: Scorpaenidae) in the Gorringe, Ampère, Unicorn and Lion seamounts

Unexpected patterns of fisheries collapse in the world's oceans

Length‐Based Reference Points for Data‐Limited Situations: Applications and Restrictions

Contact Info

Product

Resources

About