Management objectives of Queensland fisheries: Putting the horse before the cart

Pascoe, Sean; Dichmont, Catherine M.; Brooks, Kenneth N.; Pears, Rachel; Jebreen, Edward

doi:10.1016/j.marpol.2012.02.016

Cited by 53 publications

(24 citation statements)

References 25 publications

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“…Similarly, perceptions of equitable resource allocation and fishers' trust in management were also not significant in determining satisfaction or desire to leave. This result is perhaps less surprising, as studies of management objective importance in the fishery have found that improving equity has a relatively low importance to fishers compared to improving economic performance (Pascoe et al 2013a). …”

Section: Discussionmentioning

confidence: 99%

Satisfaction with fishing and the desire to leave

Pascoe

Cannard

Jebreen³

et al. 2014

Ambio

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Predicting who may leave a fishery is an important consideration when designing capacity reduction programs to enhance both ecological and economic sustainability. In this paper, the relationship between satisfaction and the desire to exit a fishery is examined for the Queensland East Coast Trawl fishery. Income from fishing, and changes in income over the last 5 years, were key factors affecting overall satisfaction. Relative income per se was not a significant factor, counter to most satisfaction studies. Continuing a family tradition of fishing and, for one group, pride in being a fisher was found to be significant. Satisfaction with fishing overall and the challenge of fishing were found to be the primary drivers of the desire to stay or leave the fishery. Surprisingly, public perceptions of fishing, trust in management and perceptions of equity in resource allocation did not significantly affect overall satisfaction or the desire to exit the fishery.

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Section: Discussionmentioning

confidence: 99%

Satisfaction with fishing and the desire to leave

Pascoe

Cannard

Jebreen³

et al. 2014

Ambio

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“…Other studies comparing social objectives to economic and environmental objectives have generally found that social objectives overall obtain a relatively low priority (e.g. Pascoe et al, 2013a;Wattage and Mardle, 2005). When presented with a set of specific objectives for the survey, they did not have the advantage of previous discussions by which they could consolidate their views on priorities for social objectives.…”

Section: Discussionmentioning

confidence: 90%

“…fishers, conservation groups and community groups) were not included in the survey as the aim was to assess managers' perceptions of the relative importance of the alternative objectives. Potentially, other stakeholders could be included in the analysis as has been done in other studies (Innes and Pascoe, 2010;Pascoe et al, 2013a). Who to include in the study was discussed at the stakeholder workshop, where the decision to limit it to managers e at least in the first instance e was made on the basis that they were responsible for implementing and achieving these objectives on behalf of the broader community.…”

Section: Ahp Surveymentioning

confidence: 99%

“…Others assert that too little attention is paid to social values, objectives and drivers (Daw and Gray, 2005;Symes and Phillipson, 2009). Previous studies of fisheries management objectives in Australia have found widely varying importance given to social, economic and environmental objectives both between Federal and State policy and also between different stakeholders (Pascoe et al, 2013a(Pascoe et al, , 2009b.…”

Section: Introductionmentioning

confidence: 99%

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Social objectives of fisheries management: What are managers' priorities?

Pascoe

Brooks²,

Cannard

et al. 2014

Ocean & Coastal Management

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a b s t r a c tIncreasingly, social considerations are having an influence on fisheries policy as well as day-to-day management decision making. Social objectives, unlike economic or conservation objectives, are often poorly defined in fisheries policy, providing substantial leeway for managers to develop management plans in response to the perceived importance of different social outcomes, and potential inconsistencies between different fisheries and jurisdictions. In this paper, through a literature review and workshop with managers across different Australian jurisdictions, we develop a set of social objectives that may be applicable in Australian fisheries. We assess the importance of these different objectives using the Analytic Hierarchy Process, and find considerable diversity in opinion as to which social objectives fisheries management should prioritise to achieve. This diversity of opinion is not directly related to jurisdiction, but does seem related to the context and social environment in which fisheries managers are operating.Crown

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“…The MEY ranged between 1300 t and 2000 t and E MEY between 7000 and 13 000 boat-days. A higher value of d significantly increased profit, but reduced the number of vessels, which may negatively impact social objectives of the fishery Pascoe et al, 2013). Operationalizing MEY in a fishery requires an agreed set of rules, assumptions and strong industry commitment .…”

Section: Reference Pointsmentioning

confidence: 99%

Improving the effectiveness of age-abundance indicators in the management of fisheries in Queensland, Australia

O’Neill¹

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The development of fishery indicators is a crucial undertaking as it ultimately provides evidence to stakeholders about the status of fished species such as population size and survival rates. In Queensland, as in many other parts of the world, age-abundance indicators (e.g. fish catch rate and/or age composition data) are traditionally used as the evidence basis because they provide information on species life history traits as well as on changes in fishing pressures and population sizes. Often, however, the accuracy of the information from age-abundance indicators can be limited due to missing or biased data.Consequently, improved statistical methods are required to enhance the accuracy, precision and decision-support value of age-abundance indicators.This research uses three case studies as the basis for improving the effectiveness of ageabundance indicators in fisheries management: eastern king prawns, stout whiting and spanner crab.The case study species were chosen to demonstrate different aspects that age-abundance indicators need to adapt to. The case studies contrast different life history characteristics (e.g. varied lifespan), fishery management (e.g. effort versus harvest restrictions) and fishery challenges (e.g. fishing power bias and high operational costs of fishing for eastern king prawns; inconsistent data for stout whiting; need for more comprehensive management methodology for spanner crab). Collectively, the case studies form the scientific detail of the thesis.The first case study developed new methodology for the calculation of abundance indicators and reference points for eastern king prawns. Bio-economic indicators were standardised for calibrating simulations and identified catch-rate levels that were effective for monitoring profitability and useful in simple within-year effort-control rules. Favourable performance of catch-rate indicators in management was achieved only when a legitimate upper limit was placed on total allowable fishing effort. The findings inform decision makers on the uncertainty and assumptions affecting economic indicators.ii For the second case study, a new catch curve methodology was described for estimating annual survival fractions of stout whiting. The method analysed individual fish ageabundance data such as length and age by using Gaussian finite mixtures and was designed to overcome fishery dependent sampling issues, assuming that only fish ages within each length category were sampled randomly and that fish lengths themselves were not. The analysis improved estimates of stout whiting survival in waters along Australia's east coast. The catch curve mixture model applies naturally to monitoring data on fish ageabundance and is applicable to many fisheries.In the third case study, revised abundance indicators were developed to achieve more responsive spanner crab management. Simulations identified harvest and catch-rate baselines to assisting setting quotas that ensured sustainable crab biomass. The management procedure is robust against strong trend...

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Management objectives of Queensland fisheries: Putting the horse before the cart

Cited by 53 publications

References 25 publications

Satisfaction with fishing and the desire to leave

Satisfaction with fishing and the desire to leave

Social objectives of fisheries management: What are managers' priorities?

Improving the effectiveness of age-abundance indicators in the management of fisheries in Queensland, Australia

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