The effects of future consumption by the Cape fur seal on catches and catch rates of the Cape hakes. 4. Modelling the biological interaction between Cape fur sealsArctocephalus pusillus pusillusand the Cape hakesMerluccius capensisandM. paradoxus

Punt, André E.; Butterworth, Doug S

doi:10.2989/025776195784156494

Cited by 130 publications

(87 citation statements)

References 7 publications

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“…The choice of food-web components and interactions is a central issue in modelling ecosystem dynamics and output is often more sensitive to the complexity of the modelled food-web than any other factor (Punt & Butterworth, 1995;Bax, 1998). We advocate the development of "minimum realistic models" that include only species that have important interactions with the focal species (Punt & Butterworth, 1995). These models may use different approaches for different trophic levels, with most detail at the level of the focal species (deYoung et al, 2004).…”

Section: (1) Complexitymentioning

confidence: 99%

Modelling Southern Ocean ecosystems: krill, the food-web, and the impacts of harvesting

Hill¹,

Murphy²,

Reid³

et al. 2006

Biol. Rev.

101

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The ecosystem approach to fisheries recognises the interdependence between harvested species and other ecosystem components. It aims to account for the propagation of the effects of harvesting through the food-web. The formulation and evaluation of ecosystem-based management strategies requires reliable models of ecosystem dynamics to predict these effects. The krill-based system in the Southern Models of the Southern Ocean ecosystem. 2Ocean was the focus of some of the earliest models exploring such effects. It is also a suitable example for the development of models to support the ecosystem approach to fisheries because it has a relatively simple food-web structure and progress has been made in developing models of the key species and interactions, some of which has been motivated by the need to develop ecosystem-based management. Antarctic krill, Euphausia superba, is the main target species for the fishery and the main prey of many top predators. It is therefore critical to capture the processes affecting the dynamics and distribution of krill in ecosystem dynamics models. These processes include environmental influences on recruitment and the spatially variable influence of advection. Models must also capture the interactions between krill and its consumers, which are mediated by the spatial structure of the environment. Various models have explored predator-prey population dynamics with simplistic representations of these interactions, while others have focused on specific details of the interactions. There is now a pressing need to develop plausible and practical models of ecosystem dynamics that link processes occurring at these different scales.Many studies have highlighted uncertainties in our understanding of the system, which indicates future priorities in terms of both data collection and developing methods to evaluate the effects of these uncertainties on model predictions. We propose a modelling approach that focuses on harvested species and their monitored consumers and that evaluates model uncertainty by using alternative structures and functional forms in a Monte Carlo framework.

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Section: (1) Complexitymentioning

confidence: 99%

Modelling Southern Ocean ecosystems: krill, the food-web, and the impacts of harvesting

Hill¹,

Murphy²,

Reid³

et al. 2006

Biol. Rev.

101

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show abstract

“…In other cases, the ecosystem effects of fishing have been taken into account by considering the effects of an exploited species on non-exploited species, including species of conservation concern. The interactions between seals and Cape hake off the west coast of South Africa were modelled to examine the possible effects of seal culling on catches of Cape hake in demersal trawls (Punt and Butterworth 1995). Further, a model linking anchovy and Cape cormorants Phalacrocorax capensis suggested that the purse-seine fishery for anchovy may have reduced the bird population off South Africa (Crawford et al 1992).…”

Section: Stepmentioning

confidence: 99%

An ecosystem framework for fisheries management in the southern Benguela upwelling system

Shannon¹,

Moloney

2004

African Journal of Marine Science

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“…Our study, and that of Punt and Butterworth (1995), which was developed to reflect recommendations reported in Butterworth and Harwood (1991), has been inspired by the simulation approach taken when the RMP of the IWC was developed for managing single baleen whale stocks (Kirkwood, Hammond and Donovan, 1997). The resulting RMP is robust against the type and extent of uncertainties that usually surrounds stocks of baleen whales, as demonstrated in a scenario study focusing on uncertainties represented by variability and bias in survey data, and in variations in the population dynamics, e.g.…”

Section: Historical Backgroundmentioning

confidence: 99%

“…Our aim is not a detailed description of the ecosystem representing all available knowledge, but rather a practical and reasonably realistic model tailored to the purpose of the study. Borrowing a term from Punt and Butterworth (1995), a model that balances realism and uncertainty, and that is operational and practical to use, is called a minimal realistic model.…”

Section: Introductionmentioning

confidence: 99%

The Scenario Barents Sea study: a case of minimal realistic modelling to compare management strategies for marine ecosystems

Schweder

2006

Top Predators in Marine Ecosystems

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Management of a marine ecosystem is regarded as a game played by the Government Agency against Nature. The quality of the management strategy is evaluated using models for the strategy taken by Nature. These models should be sufficiently realistic and also practical to implement and investigate on a computer. Whaling and sealing in the Barents Sea are of little economic interest of themselves, but might impact some other fisheries positively. Our model to evaluate strategies for whaling and sealing includes cod, herring, capelin, harp seals and minke whales, and emphasizes interactions between these populations caused by predation. For proposed management strategies, the stochastic system is repeatedly simulated over 100 years, and the strategies are evaluated by the resulting cod, capelin and herring TACs that are calculated from fixed rules. Our line of study was first pursued in the 1990s with an emphasis on management strategies for cod, herring and minke whales. It is now extended and refined with harp seals included, and with improved modelling of how predation mortality in the fish species is non-linearly linked to the abundances of all the modelled species.

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The effects of future consumption by the Cape fur seal on catches and catch rates of the Cape hakes. 4. Modelling the biological interaction between Cape fur sealsArctocephalus pusillus pusillusand the Cape hakesMerluccius capensisandM. paradoxus

Abstract: The effects of future consumption by the Cape fur seal on catches and catch rates of the Cape hakes. 4. Modelling the biological interaction between Cape fur seals Arctocephaluspusilluspusillus and the Cape hakes Merluccius

Cited by 130 publications

References 7 publications

Modelling Southern Ocean ecosystems: krill, the food-web, and the impacts of harvesting

Modelling Southern Ocean ecosystems: krill, the food-web, and the impacts of harvesting

An ecosystem framework for fisheries management in the southern Benguela upwelling system

The Scenario Barents Sea study: a case of minimal realistic modelling to compare management strategies for marine ecosystems

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