Individual variability and spatial heterogeneity in fish population models

Tyler, Jeffrey A.; Rose, Kenneth A.

doi:10.1007/bf00043262

Cited by 138 publications

(74 citation statements)

References 131 publications

(119 reference statements)

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Section: Introductionmentioning

confidence: 99%

“…Adding biological properties to these particles results in so-called individual-based models (IBMs), which have recently emerged as a useful tool for describing interactions between individuals displaying different behaviours within a population, and their environment. IBMs permit the spatial representation and integration of environmental, ecological and biological data (DeAngelis & Gross 1992, Tyler & Rose 1994, Letcher et al 1996, Grimm 1999, Werner et al 2001.The life history of anchovy in the southern Benguela incorporates distinct spawning, transport and nursery regions, and is summarised in Hutchings & Boyd (1992) and Hutchings et al (1998). Adult anchovy spawn serially during spring and summer (September to March) on the Agulhas Bank (Fig.…”

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confidence: 99%

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Modelling the transport success of anchovy Engraulis encrasicolus eggs and larvae in the southern Benguela: the effect of spatio-temporal spawning patterns

Huggett¹,

Fréon²,

Mullon³

et al. 2003

Mar. Ecol. Prog. Ser.

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Recruitment success of anchovy Engraulis encrasicolus in the southern Benguela is thought to depend largely on the passive transport of eggs and larvae from their warm-water spawning area, located in the southern part of their distribution range (Agulhas Bank), to their cold-water nursery grounds located 500 km away on the west coast of South Africa. In order to test this hypothesis, the output of a 3D hydrodynamic model was coupled to a particle-tracking model, allowing the quantification of different factors such as the timing and precise location of spawning activity, the frequency of spawning activity within a month, the level of aggregation of the spawning stock, and the interannual variability of transport due to mesoscale processes. Results from the model indicate that spawning season and area have a major effect on transport success. The most favourable period for spawning was September to March, peaking in November, and the western Agulhas Bank was the most favourable spawning area. A low success rate of passive transport to the core inshore nursery area in the model suggests that additional processes such as swimming or advection are required for larvae to reach this area. In general, there was good agreement between observed spawning patterns and the optimal temporal and spatial strata where particle transport was most successful, suggesting that the spawning strategy of anchovy is mainly the result of an adaptation to the circulation patterns in the region. Nonetheless, some discrepancies were observed between the success of transport and actual spawning patterns, and temperature may also be an important factor to take into consideration to fully explain how this originally temperate species is able to survive in an area of highly contrasting temperatures.KEY WORDS: Individual-based model · Transport success · Anchovy · Ichthyoplankton · Recruitment · Reproductive strategy · Southern Benguela · Engraulis encrasicolus Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 250: [247][248][249][250][251][252][253][254][255][256][257][258][259][260][261][262] 2003 total purse-seine fishery catch (Barange et al. 1999). Catches during the 1950s and early 1960s were dominated by adult sardine, peaking at ~400 000 t in 1961-62, but declined to <100 000 t by 1967 ). This collapse was followed by a rapid increase in catches of anchovy, which replaced sardine as the dominant species during the 1970s and 1980s (Crawford et al. 1987). In addition to these decadalscale fluctuations in abundance, direct acoustic estimates of pelagic fish abundance since 1984 (Hampton 1987, Barange et al. 1999) have indicated considerable annual variability in recruitment of both sardine and anchovy, particularly the latter (Fig. 1). Estimated variations in anchovy recruitment were 5-fold during the period 1984 to 1999 and increased to nearly 20-fold after 2 yr of exceptional recruitment in 2000 and 2001. Recruitment of pelagic fish is the net result of a continuous series of l...

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Modelling the transport success of anchovy Engraulis encrasicolus eggs and larvae in the southern Benguela: the effect of spatio-temporal spawning patterns

Huggett¹,

Fréon²,

Mullon³

et al. 2003

Mar. Ecol. Prog. Ser.

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“…For example, mortality risk is a major factor that governs habitat choice and vertical migration behavior in zooplankton (Aksnes and Giske 1990;Ohman 1990;Loose and Dawidowicz 1994). In the rapidly developing literature on models of habitat profitability, habitat choice, and optimal behavior (Gilliam 1982;Houston et al 1993;Tyler and Rose 1994), mortality risk represents a major explanatory variable. Along with models of mortality and mortality risk of the pelagic habitat (Aksnes and Giske 1993;Giske et al 1994;Petersen and Gadomski 1994), there is an increasing need for empirical estimates of mortality.…”

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confidence: 99%

A vertical life table approach to zooplankton mortality estimation

Aksnes

Ohman

1996

Limnology & Oceanography

106

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Zooplankton mortality is commonly estimated from time series of abundances (horizontal life table approach) with the assumption that transport processes are of minor influence. This assumption is commonly violated in the marine environment. We provide equations appropriate for analysis of stage distributions in zooplankton samples at a single time (vertical life table approach) that, in certain circumstances, facilitate mortality estimation without requiring time series of abundances. A primary assumption is that daily recruitment to a particular stage should not be characterized by a strong upward or downward trend. To improve the accuracy of parameter estimates, however, knowledge about such trends may be taken into account. The accuracy and precision of mortality estimation were assessed with an individual-based simulation model.

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“…Newly developed satellite remote sensing techniques, combined with insitu measurements, constitute the most effective ways for efficient management and controlled exploitation of marine resources. The satellite data are also used successfully in oceanographic and meteorological forecasting, which improves scientific knowledge and safety of operations at sea (Santos 2000;Tyler, Rose 1994).…”

Section: Introductionmentioning

confidence: 99%

Remote sensing of environmental indicators of potential fish aggregation: An overview

Klemas

2012

Baltica

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Sustainable use of marine resources requires effective monitoring and management of the world’s fish stocks. Acoustic and electromagnetic remote sensing techniques are being used to help manage fisheries at sustainable levels, while also guiding fishing fleets to locate fish schools more efficiently. Fish tend to aggregate in ocean areas that exhibit conditions favored by specific fish species. Some of the relevant oceanographic conditions, such as sea surface temperature, ocean color (productivity) and oceanic fronts, which strongly influence natural fluctuations of fish stocks, can be observed and measured by remote sensors on satellites, aircraft and ships. The remotely sensed data are provided in near-real time to help fishermen save fuel and ship time during their search for fish, to modelers who produce fisheries forecasts, and to scientists who help develop strategies for sustainable fisheries management. This article describes how acoustic, optical and radar sensors on ships, satellites and aircraft are used with forecast models to improve the management and harvesting of fisheries resources.

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Individual variability and spatial heterogeneity in fish population models

Cited by 138 publications

References 131 publications

Modelling the transport success of anchovy Engraulis encrasicolus eggs and larvae in the southern Benguela: the effect of spatio-temporal spawning patterns

Modelling the transport success of anchovy Engraulis encrasicolus eggs and larvae in the southern Benguela: the effect of spatio-temporal spawning patterns

A vertical life table approach to zooplankton mortality estimation

Remote sensing of environmental indicators of potential fish aggregation: An overview

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