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• W2289014719 abstract "Year-to-year f luctuations in fish stocks are usually attributed to variability in recruitment, competition, predation, and changes in catchability. Trends in abundance, in contrast, are usually ascribed to human exploitation and large-scale environmental changes. In this study, we demon- strate, through statistical modeling of survey data (1921- 1994) of cod from the Norwegian Skagerrak coast, that both short- and long-term variability may arise from the same set of age-structured interactions. Asymmetric competition and cannibalism between cohorts generate alternating years of high and low abundance. Intercohort interactions also reso- nate the recruitment variability so that long-term trends are induced. The coupling of age-structure and variable recruit- ment should, therefore, be considered when explaining both the short- and long-term f luctuations displayed by the coastal cod populations. Resonant effects may occur in many marine populations that exhibit this combination of traits. Most commercial fish stocks vary greatly in abundance and exhibit a combination of short-term (year-to-year) fluctuations and longer term trends. Different factors are usually thought to give rise to these two types of changes in population size. Trends are usually related to external forcing on the popula- tions, especially from human exploitation (1, 2) and large-scale environmental variation, such as changes in atmospheric and oceanographic circulation (3) or temperature (4). The year- to-year variation, in contrast, is usually explained by two different classes of hypotheses, both of which are internal to the populations in the sense of affecting vital rates, either in a density-independent or density-dependent manner. First, variable (stochastic) recruitment caused by changes in winds, currents, temperature, or resources can generate substantial variation in juvenile survivorship (3-9). For instance, the relative timing of the spring algal bloom and egg hatching is a critical determinant of food availability to the larvae and postlarvae. Because the spring bloom is itself determined by environmental conditions, this ''match-mismatch'' hypothesis offers an explicit mechanism for the effect of climate on year class strength (6, 10, 11). Second, density-dependent interac- tions between and within cohorts (in the form of cannibalism and competition) can generate population fluctuations (12- 14). Such interactions can lead to cycles or quasiperiodic oscillations (15-17). Fromentin et al. (18, 19) described patterns of abundance in a long-term survey (1919-1994) of cod (Gadus morhua L.) from the Norwegian Skagerrak coast. They demonstrated both 2- to 3-year cycles and long-term trends in these time series. The cycles were hypothesized to arise from interactions within and among cohorts (18, 20). The long-term trends appeared as a regional feature but were not clearly linked to any large-scale changes in either zooplankton abundance or climatic variables (19). In the present study we built a dynamic model for the Skagerrak cod survey data to explore the cycles and trends. The model includes stochastic reproduction and age- structured interactions and is designed to test whether this set of regulatory and disruptive processes can account for the variability in abundance. We asked whether a stochastic age- structured model alone can account for the dual pattern of cycles and trends in cod abundance. The parameters of the model were estimated from the time-series data with a Bayes- ian Markov chain Monte Carlo method (21, 22). Markov chain Monte Carlo allows us to estimate the parameters in the nonlinear age-structured model, including the variance and the mean of the per capita reproduction rate." @default.
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• W2289014719 title "Cycles and trends in cod populations (age-structured dynamics! Gadus morhua! Markov chain Monte Carlo estimation! nonlinear stochastic dynamics! stock recruitment)" @default.
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