Evaluating impacts of fishing on benthic habitats: A risk assessment framework applied to Australian fisheries

Williams, Alan; Dowdney, J.; Smith, Anthony D. M.; Hobday, Alistair J.; Fuller, M.

doi:10.1016/j.fishres.2011.01.028

Cited by 65 publications

(47 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accurately characterizing risks to megafauna, and identifying opportunities to reduce bycatch, requires an approach that accounts for the complex relationship between humans and ocean systems. New methods to investigate cumulative impacts of human activities (Halpern et al, 2008;Worm et al, 2009) and drivers of ecosystem risk in marine systems (Patrick et al, 2010;Hobday et al, 2011;Williams et al, 2011) have led to the development of risk-based scenario assessment tools, a complexity-aware approach that uses existing data and knowledge to evaluate the direct effects of human activities, climate change, and other stressors on natural resource conservation and management.…”

Section: Spatially-explicit Risk Assessmentmentioning

confidence: 99%

Embracing Complexity and Complexity-Awareness in Marine Megafauna Conservation and Research

Lewison¹,

Johnson²,

Verutes³

2018

Front. Mar. Sci.

View full text Add to dashboard Cite

Conservation of marine megafauna is nested within an intricate tapestry of multiple ocean resource uses which are, in turn, embedded in a dynamic and complex ecological ocean system that varies and shifts across a wide range of spatial and temporal scales. Marine megafauna conservation is often further complicated by contemporaneous, and sometimes competing, social, economic, and ecological factors and related management objectives. Advances in emerging technologies and applications, such as remotely-sensed oceanographic data, animal-based telemetry, novel computational analyses, innovations in structured decision making, and stakeholder engagement and policy are supporting complex systems and complexity-aware approaches to megafauna conservation and research. Here we discuss several applications that focus on megafauna fisheries bycatch and exemplify how complex systems and complexity-aware approaches that inherently acknowledge and account for the complexity of ocean systems can advance megafauna conservation and research. Emerging technologies, applications and approaches that embrace, rather than ignore, complexity can drive innovation and success in megafauna conservation and research.

show abstract

Section: Spatially-explicit Risk Assessmentmentioning

confidence: 99%

Embracing Complexity and Complexity-Awareness in Marine Megafauna Conservation and Research

Lewison¹,

Johnson²,

Verutes³

2018

Front. Mar. Sci.

View full text Add to dashboard Cite

show abstract

“…Figure 2 presents a generic PSA plot where, for example, a species with high productivity and low susceptibility has lower risk from the fishery relative to species with lower productivity and higher susceptibility scores. A single risk score of assessed species may be determined by their position on the productivity and susceptibility axes, such as by calculating the Euclidian distance from the origin of the PSA plot, in order to provide a rank-order of relative risk (Kirby, 2006;Williams et al, 2011;Nel et al, 2012;Cortes et al, 2015).…”

Section: Inferring Effects Of Bycatch Mitigation Management Measuresmentioning

confidence: 99%

“…As with semi-quantitative ERAs of the effects of fishing on populations, stocks and species (see section 'Semi-quantitative ecological risk assessments of the effects of fishing on populations, stocks and species') observer data are also used for some of the data inputs for risk assessments of fishery effects on benthic habitats (Figure 1) Williams et al, 2011). For example, observer data on the spatial distribution of fishing effort and depth of gear can be used to assess the degree of "encounterability" that the fishery has with different habitat types.…”

Section: Identification Of Sites Meeting Definitions Of Vulnerable Mamentioning

confidence: 99%

“…For example, observer data on the spatial distribution of fishing effort and depth of gear can be used to assess the degree of "encounterability" that the fishery has with different habitat types. Encounterability is one attribute for susceptibility to damage that can be used in a PSA for the habitat effects of fishing Williams et al, 2011). The relative degree of disturbance a fishery causes to a habitat type (e.g.…”

Section: Identification Of Sites Meeting Definitions Of Vulnerable Mamentioning

confidence: 99%

See 1 more Smart Citation

Ecological data from observer programmes underpin ecosystem-based fisheries management

Gilman

Weijerman

Suuronen

2017

ICES Journal of Marine Science

View full text Add to dashboard Cite

Data required from fisheries monitoring programmes substantially expand as management authorities transition to implement elements of ecosystem-based fisheries management (EBFM). EBFM extends conventional approaches of managing single fishery effects on individual stocks of target species by taking into account the effects, within a defined ecosystem, of local to regional fisheries on biodiversity, from genotypes to ecological communities. This includes accounting for fishery effects on evolutionary processes, associated and dependent species, habitats, trophic food web processes, and functionally linked systems. Despite seemingly insurmountable constraints, through examples, we demonstrate how data routinely collected in most observer programmes and how minor and inexpensive expansions of observer data fields and collection protocols supply ecological data underpinning EBFM. Observer data enable monitoring bycatch, including catch and mortality of endangered, threatened and protected species, and assessing the performance of bycatch management measures. They provide a subset of inputs for ecological risk assessments, including productivity-susceptibility analyses and multispecies and ecosystem models. Observer data are used to monitor fishery effects on habitat and to identify and protect benthic vulnerable marine ecosystems. They enable estimating collateral sources of fishing mortality. Data from observer programmes facilitate monitoring ecosystem pressure and state indicators. The examples demonstrate how even rudimentary fisheries management systems can meet the ecological data requirements of elements of EBFM.

show abstract

“…Ecological risk assessments (e.g. (Astles et al, 2006;Campbell & Gallagher, 2007); (Fletcher, 2005)) have traditionally been based on a likelihood-consequence approach for estimating the risk of a rare or unpredictable event (Williams et al, 2011). However, when an assessment of on-going (current) pressure is needed, then an exposure-effect analysis is more suitable (Smith et al, 2007) (see Figure 1).…”

Section: Environmental Risk Assessmentmentioning

confidence: 99%

Cumulative effects assessment: proof of concept marine mammals

Piet¹,

Boon²,

Jongbloed³

et al. 2017

View full text Add to dashboard Cite

Piet, G.J 1 ., Boon, A 2 . Jongbloed, R 1 ., van der Meulen, M 2 ., Tamis, J 1 . van der Wal, J.T 1 .Teal ,L SummaryThis development of the framework and approach for a Cumulative Effects Assessment (CEA) is based on a literature review. From this we adopted several definitions that guided this development.• A CEA is understood as "a systematic procedure for identifying and evaluating the significance of effects from multiple sources/activities and for providing an estimate on the overall expected impact to inform management measures. The analysis of the causes (source of pressures and effects), pathways and consequences of these effects on receptors is an essential and integral part of the process".• Cumulative effects are "the incremental impact of the action when added to the other past, present and reasonably foreseeable actions". In this approach we only consider a (cumulative) effect significant if it has an impact on a relevant ecosystem component.Therefore our framework and approach for a CEA is based on all human activities that may have a potential impact on any relevant (from a policy perspective) ecosystem component at an appropriate spatio-temporal scale.The literature also identified some key challenges that need to be addressed for CEA to evolve into a consistent, appropriate tool to assist decision-making. These challenges included• A clear distinction of the receptor-led CEA from the dominating stressor-led Environmental Impact Assessment (EIA) approaches and• Enabling CEA to provide ecosystem-relevant information at an appropriate regional scale.Therefore this CEA is explicitly developed to be a receptor-led and fully integrated framework, i.e.involving multiple occurrences of multiple pressures (from single and/or different sources) on multiple receptors, as opposed to other existing approaches dealing with only a subset of those pressures or receptors, hence our use of the phrase iCEA for integrated CEA. As a proof of concept for this iCEA we selected one receptor, the ecosystem component marine mammals.From the literature review we adopted (and slightly modified) a risk-based framework for defining and undertaking cumulative effects assessments which is aligned to the work in the OSPAR IntersessionalCorrespondence Group on Cumulative (ICG-C) Effects and the ICES Working Group on IntegratedAssessments of the North Sea (WGINOSE), thereby ascertaining this framework and approach is wellplaced within ongoing international North Sea initiatives. Furthermore, the CEA framework in this study should contribute to national North Sea policymaking, with a specific focus on the Marine Strategy framework Directive (MSFD). This literature review is presented in Chapter 1.Our iCEA framework consists of four phases each corresponding to a chapter in this report:1. Conception. This is where purpose and scope are defined (see Chapter 2). 3. Execution (importance). Here we establish the relative importance of each impact chain using a risk-based approach that calculates "Impact Risk", i.e. the contribution of...

show abstract

Evaluating impacts of fishing on benthic habitats: A risk assessment framework applied to Australian fisheries

Cited by 65 publications

References 42 publications

Embracing Complexity and Complexity-Awareness in Marine Megafauna Conservation and Research

Embracing Complexity and Complexity-Awareness in Marine Megafauna Conservation and Research

Ecological data from observer programmes underpin ecosystem-based fisheries management

Cumulative effects assessment: proof of concept marine mammals

Contact Info

Product

Resources

About