2017
DOI: 10.1016/j.fishres.2017.05.011
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Bayesian hierarchical surplus production model of the common whelk Buccinum undatum in Icelandic waters

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Cited by 8 publications
(12 citation statements)
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“…The common whelk in Breiðafjörður Bay show high morphological diversity with clear differences both in shape and color throughout the bay. Whelk populations were clearly spatially differentiated, which corroborates the results of previous studies on the species in the bay (Gunnarsson & Einarsson, ; Magnúsdóttir, ; Woods & Jonasson, ) and indicates limited demographic connectivity between populations. Phenotypic variation (thickness, shell shape, and color diversity) displayed a distinct pattern from east to west.…”
Section: Discussionsupporting
confidence: 89%
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“…The common whelk in Breiðafjörður Bay show high morphological diversity with clear differences both in shape and color throughout the bay. Whelk populations were clearly spatially differentiated, which corroborates the results of previous studies on the species in the bay (Gunnarsson & Einarsson, ; Magnúsdóttir, ; Woods & Jonasson, ) and indicates limited demographic connectivity between populations. Phenotypic variation (thickness, shell shape, and color diversity) displayed a distinct pattern from east to west.…”
Section: Discussionsupporting
confidence: 89%
“…Clines in species’ phenotypic traits are an important part of ecological and evolutionary studies (Levin, ) and can be extremely useful in quantifying the degree of connectivity among populations and for delineating population boundaries (Jones, Srinivasan, & Almany, ; Kough, Cronin, Skubel, Belak, & Stoner, ; Leis, van Herwerden, & Patterson, ; Woods & Jonasson, ). Geographical patterns in morphology can result from direct environmental control of physiological processes and body shape (Vermeij, ), differential adaptation to variable surroundings (Pinkert, Brandl, & Zeuss, ; Reinecke et al., ), or, alternatively, from random changes in genetically distinct populations (Kimura & Maruyama, ).…”
Section: Introductionmentioning
confidence: 99%
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“…The simulation is based on a mathematical model derived from (Woods and Jonasson, 2017). The growth of fish populations is modelled using a system of equations that depend upon two key parameters: the carrying capacity (K, measured in tons), which is the maximum population size that the environment can sustain; and the maximum production rate (P max , measured in tons per year), which is the maximum rate of production of new stock (through reproduction).…”
Section: Game Concepts and Designmentioning
confidence: 99%