Ecological risk assessment for the effects of fishing

Hobday, Alistair J.; Smith, Anthony D. M.; Stobutzki, Ilona; Bulman, CM; Daley, Ross; Dambacher, Jeffrey M.; Deng, Roy A.; Dowdney, J.; Fuller, Mike; Furlani, Dianne M.; Griffiths, Shane P.; Johnson, Daniel D.; Kenyon, Rob; Knuckey, Ian; Ling, Scott D.; Pitcher, Roland; Sainsbury, Keith; Sporcic, Miriana; Smith, Tim D.; Turnbull, Clive T.; Walker, Terence I.; Wayte, Sally E.; Webb, Helen; Williams, Alan; Wise, B. S.; Zhou, Shijie

doi:10.1016/j.fishres.2011.01.013

Cited by 463 publications

(535 citation statements)

References 28 publications

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“…One approach to move towards quantitative assessments with limited data is the use of ecological risk assessments (ERAs) (see Cortés et al 2010, Arrizabalaga et al 2011, Hobday et al 2011 to identify populations at risk and fisheries of concern. ERAs combine biological productivity analysis with susceptibility analysis to assess the likelihood of a population being impacted by threats such as direct or incidental capture.…”

Section: Introductionmentioning

confidence: 99%

Summer distribution and abundance of the giant devil ray (<em>Mobula mobular</em>) in the Adriatic Sea: Baseline data for an iterative management framework

Fortuna¹,

Kell²,

Holcer³

et al. 2014

Sci. Mar.

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Summary:The giant devil ray (Mobula mobular) is a poorly understood protected endemic species of the eastern AtlanticMediterranean region. However, to date there are no range-wide management actions in place. This paper provides the first overview of the summer distribution and abundance of this species and other Myliobatiformes within the Adriatic Sea based on an aerial survey. Although the survey's primary targets were cetaceans and sea turtles, the study showed that it was possible to use the survey to monitor other species. Abundance estimates are derived using conventional distance sampling analysis. Giant devil rays were observed mainly in the central-southern Adriatic (88% of total sightings). A total of 1595 giant devil rays were estimated in the central-southern Adriatic Sea [coefficient of variation(CV)=25%, uncorrected estimate for perception and availability bias]. When corrected for availability bias the number of specimens was estimated at 3255 (CV=56%). Population growth rate was estimated using life history traits and a sensitivity analysis was conducted to evaluate the benefit of improving biological knowledge on this data-poor species. A power analysis showed that a long-term commitment to an aerial survey would be necessary to monitor population trends. Conservation implications and future work, including how the study could be used to conduct an ecological risk assessment are discussed.Keywords: aerial survey; conservation; conventional distance sampling; ecological risk assessment; management; Myliobatiformes; sensitivity; power analysis.Distribución estival y abundancia de la gran manta raya (Mobula mobular) en el mar Adriático: datos de base para un marco de gestión iterativo Resumen: La manta raya gigante (Mobula mobular) es una especie endémica protegida poco conocida de la región del Atlántico oriental-Mediterráneo. Sin embargo hasta la fecha no hay acciones de gestión que cubran todo su rango. Este artículo proporciona la primera visión de conjunto de la distribución y abundancia estival de esta especie y otras Myliobatiformes en el mar Adriático basada en un censo aéreo. Aunque los objetivos principales del censo eran cetáceos y tortugas marinas, el estudio mostró que era posible usar el censo para monitorizar otras especies. Las estimas de abundancia se derivaron utilizando análisis convencional de muestreo de distancias. Las manta rayas gigantes se observaron principalmente en el Adriático central y sur (88% de los avistamientos totales). Se estimaron un total de 1595 mantas rayas gigantes en el mar Adriático central-sur (CV=25%, estima no corregida para los sesgos de percepción y de disponibilidad). Cuando se corrigió para el sesgo de disponibilidad el número de especímenes se estimó en 3255 (CV=56%). La tasa de crecimiento de la población se estimó usando aspectos de la historia natural y se realizó un análisis de sensibilidad para evaluar el beneficio de mejorar el conocimiento biológico de esta especie de la que hay tan pocos datos. Un análisis de potencia mostró que sería neces...

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Section: Introductionmentioning

confidence: 99%

Summer distribution and abundance of the giant devil ray (<em>Mobula mobular</em>) in the Adriatic Sea: Baseline data for an iterative management framework

Fortuna¹,

Kell²,

Holcer³

et al. 2014

Sci. Mar.

View full text Add to dashboard Cite

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“…A significant missed opportunity that warrants scientific attention is the assessment of cumulative environmental impacts, for which any particular corporation's impacts depend on what degradation has already occurred (68)(69)(70). Such analyses may require coordinated scientific efforts aimed at quantifying the total effects of business practices on local environmental assets (e.g., habitats, water, productive soil) throughout the value chain (e.g., siting and sourcing, production processes, plant operations).…”

Section: Avenues For Ecosystem Science To Engage With Corporate Envirmentioning

confidence: 99%

Improving global environmental management with standard corporate reporting

Kareiva

McNally

McCormick

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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Multinational corporations play a prominent role in shaping the environmental trajectory of the planet. The integration of environmental costs and benefits into corporate decision-making has enormous, but as yet unfulfilled, potential to promote sustainable development. To help steer business decisions toward better environmental outcomes, corporate reporting frameworks need to develop scientifically informed standards that consistently consider land use and land conversion, clean air (including greenhouse gas emissions), availability and quality of freshwater, degradation of coastal and marine habitats, and sustainable use of renewable resources such as soil, timber, and fisheries. Standardization by itself will not be enough-also required are advances in ecosystem modeling and in our understanding of critical ecological thresholds. With improving ecosystem science, the opportunity for realizing a major breakthrough in reporting corporate environmental impacts and dependencies has never been greater. Now is the time for ecologists to take advantage of an explosion of sustainability commitments from business leaders and expanding pressure for sustainable practices from shareholders, financial institutions, and consumers.corporate sustainability | ESG reporting | natural capital | ecosystem services | multinational corporations

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“…Because of the cost of assessment, risk-based approaches have been developed to assess ecological risk from fishing and prioritise management responses (Fletcher 2005;Smith et al 2007b;Zhou and Griffiths 2008;Hobday et al 2011). These approaches underpin the ecosystem-based fisheries management (EBFM) approach in Australia and derive from the implicit embedding of risk assessments in fisheries management.…”

Section: Risk-assessment Approaches To Climatementioning

confidence: 99%

“…Attempts to generalise these risk-based approaches to include climate risks have so far met with limited success, in part because data to estimate sensitivity to climate impacts are lacking. Tools such as the integrated ecological-risk assessment for effects of fishing (ERAEF) framework have the capability to assess the ecological effects of fishing under changing climate (Smith et al 2007b;Hobday et al 2011).…”

Section: Risk-assessment Approaches To Climatementioning

confidence: 99%

Modelling climate-change effects on Australian and Pacific aquatic ecosystems: a review of analytical tools and management implications

Plagányi

Bell

Bustamante

et al. 2011

Mar. Freshwater Res.

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Climate change presents significant challenges to modelling and managing aquatic resources. Equilibrium assumptions common in many modelling approaches need to be replaced by formulations that allow for changing baselines and integration of ongoing changes and adaptations by species, ecosystems and humans. As ecosystems change, so will the ways humans use, monitor and manage them. Consequently, adaptive management loops and supporting tools deserve more prominence in the management toolbox. Models are critical tools for providing an early understanding of the challenges to be faced by integrating observations and examining possible solutions. We review modelling tools currently available to incorporate the effect of climate change on marine and freshwater ecosystems, and the implications for management of natural resources. System non-linearity can confound interpretations and hence adaptive management responses are needed that are robust to unexpected outcomes. An improvement in the ability to model the effects of climate change from a social and economic perspective is necessary. The outputs from ‘end-to-end’ and socio-ecological models can potentially inform planning, in both Australia and the Pacific region, about how best to build resilience to climate change. In this context, the importance of well directed data-collection programs is also emphasised. Lessons from this region, which is advanced with regard to modelling approaches, can guide increased use of models to test options for managing aquatic resources worldwide.

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Ecological risk assessment for the effects of fishing

Cited by 463 publications

References 28 publications

Summer distribution and abundance of the giant devil ray (<em>Mobula mobular</em>) in the Adriatic Sea: Baseline data for an iterative management framework

Summer distribution and abundance of the giant devil ray (<em>Mobula mobular</em>) in the Adriatic Sea: Baseline data for an iterative management framework

Improving global environmental management with standard corporate reporting

Modelling climate-change effects on Australian and Pacific aquatic ecosystems: a review of analytical tools and management implications

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