Mathematical Investigations into the Longevity of the Ocean Quahog <i>Arctica islandica</i> (Mollusca: Bivalvia)

Sager, G; Sammler, R.

doi:10.1002/iroh.19830680107

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…This result is not unexpected due the variability in morphology among locations and individuals. The maximum length (11.2 cm) was underestimated when compared to the 14-cm shell length given by Ropes (1985), although it still falls well within the range of published values (9-14 cm, Sager and Sammler, 1983;Begum et al, 2010).…”

Section: Deb Parameters and Predicted Valuessupporting

confidence: 77%

Energetics of the extremely long-living bivalve Arctica islandica based on a Dynamic Energy Budget model

Ballesta-Artero

Augustine

Witbaard

et al. 2019

Journal of Sea Research

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The ocean quahog Arctica islandica is the longest-living mollusk on Earth with a lifespan of at least 500 years. The slow senescence of this bivalve has promoted a great interest in its metabolic strategy. A dynamic energy budget (DEB) model was applied to describe how this species allocates its energy to maintenance, growth, maturation, and reproduction in a variable environment. We studied the relationship between A. islandica growth, lifespan, and food availability at eight different locations in the North Atlantic Ocean. Our results indicate that A. islandica's extreme longevity arises from its low somatic maintenance cost [̇] and low ageing acceleration ℎ̈, but there was not a direct relationship between food availability and lifespan in these A. islandica locations. Monkey Bank (North Sea), Iceland, and Ingøya (northern Norway) had the highest food availability estimates of all the localities but did not have the lowest longevities, in contrast to the theory of caloric restriction.

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Section: Deb Parameters and Predicted Valuessupporting

confidence: 77%

Energetics of the extremely long-living bivalve Arctica islandica based on a Dynamic Energy Budget model

Ballesta-Artero

Augustine

Witbaard

et al. 2019

Journal of Sea Research

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“…Historically, ocean quahog growth has been modeled using the von Bertalanffy growth curve (e.g., Sager & Sammler 1983, Brey et al 1990, Steingr ımsson & Th orarinsd ottir 1995, Th orarinsd ottir & Jacobson 2005. The von Bertalanffy growth curve, as well as other growth curves such as the Gompertz curve, lack an inflection point and approach an asymptote (Karkach 2006).…”

Section: Growthmentioning

confidence: 99%

Development of an Age—Frequency Distribution for Ocean Quahogs (Arctica islandica) on Georges Bank

Pace

Powell

Mann

et al. 2017

Journal of Shellfish Research

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Ocean quahogs [Arctica islandica (Linnaeus, 1769)] are the longest-lived, noncolonial animal known today, with a maximum life span exceeding 500 y. Ocean quahogs are a commercially important bivalve, inhabiting the continental shelf of the North Atlantic Basin. Although considerable information exists on the growth and physiology of A. islandica, limited information is available regarding recruitment; accordingly, sustainably managing the fishery is a challenge. To investigate long-term recruitment trends, the age of ocean quahogs from Georges Bank which were fully recruited to the commercial fishery (>80 mm shell length) was determined by analysis of annual growth lines in the hinge plate. Ages of animals representing the fully recruited size range were used to develop an age-length key, enabling reconstruction of the population age frequency. The population age frequency showed that the Georges Bank population experienced an increase in recruitment beginning in the late 1890s. Initial settlement, documented by a few ocean quahogs that were much older, occurred much earlier, in the early 1800s. Following the late 1890s increase in recruitment, the population expanded rapidly reaching carrying capacity in 20-30 y. Recruitment was more or less continuous after this expansion, consistent with maintenance of a population at carrying capacity. Unusually large year classes were not observed, nor were significant periods of high recruitment interspersed with periods of low recruitment. The relationship of growth rate with age for the oldest clams was assessed using the time series of yearly growth increments and the resulting relationship fitted to three models (von Bertalanffy, Gompertz, and TanakaÕs ALOG curve). The ALOG model was clearly superior because it allows for persistent indeterminate growth at old age, rather than the asymptotic behavior of the other two and because it allows for a rapid change in growth rate at what is presumed to be maturity.

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“…The expected width in a particular year was derived from a fitted growth model. To determine which growth model was most efficient in removing the ontogenetic trend in M. truncata, we tried the following five commonly used growth functions (see Sager and Sammler 1983):…”

Section: Chronology Of Growth Variationsmentioning

confidence: 99%

Growth variations in the bivalve Mya truncata : a tool to trace changes in the Frisian Front macrofauna (southern North Sea)?

Amaro

Duineveld

Bergman

et al. 2003

Helgoland Marine Research

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Annual monitoring of the benthic fauna living at the Frisian Front (southern North Sea) has shown a tenfold decrease in the dominant brittlestar Amphiura filiformis in 1993-1995. In search of evidence that this decline was caused by a change in benthic food supply, we analysed variations in the shell growth of the bivalve Mya truncata from the Frisian Front during the period of interest. For this purpose, the widths of the internal growth bands in the chondrophore of M. truncata were standardised and assigned to calendar years. Averaging the yearly band width in the period 1985-2000 among 25 individuals revealed low growth rates in 1986 and 1992. Growth of M. truncata quickly recovered after 1992, while A. filiformis densities remained at low levels. Moreover, the 1986 dip in M. truncata growth had no equivalent in A. filiformis density. We conclude that there is no direct coupling between fluctuations in density of A. filiformis and variations in growth of M. truncata. The data we collected during this study on the size and spatial distribution of M. truncata are discussed in the light of plans for the protection and conservation of long-lived benthic organisms in the North Sea.

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Mathematical Investigations into the Longevity of the Ocean Quahog Arctica islandica (Mollusca: Bivalvia)

Cited by 8 publications

References 12 publications

Energetics of the extremely long-living bivalve Arctica islandica based on a Dynamic Energy Budget model

Energetics of the extremely long-living bivalve Arctica islandica based on a Dynamic Energy Budget model

Development of an Age—Frequency Distribution for Ocean Quahogs (Arctica islandica) on Georges Bank

Growth variations in the bivalve Mya truncata : a tool to trace changes in the Frisian Front macrofauna (southern North Sea)?

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