The novel use of harvest policies and rapid visual assessment to manage spatially complex abalone resources (Genus Haliotis)

Prince, J.D.; Peeters, H; Gorfine, Harry; Day, Robert W.

doi:10.1016/j.fishres.2008.07.016

Cited by 47 publications

(59 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In other cases, regulations may have a more nuanced effect on the spatial pattern of fishing. Examples of these more flexible approaches include spatial zoning of fleet access (3), spatially localized gear restrictions (4,5), and spatially explicit catch quotas (6). In addition to regulation-based approaches, spatial user rights can also affect the distribution of fishing effort (7).…”

mentioning

confidence: 99%

Marine protected areas and the value of spatially optimized fishery management

Rassweiler

Costello²,

Siegel³

2012

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

126

120

View full text Add to dashboard Cite

There is a growing focus around the world on marine spatial planning, including spatial fisheries management. Some spatial management approaches are quite blunt, as when marine protected areas (MPAs) are established to restrict fishing in specific locations. Other management tools, such as zoning or spatial user rights, will affect the distribution of fishing effort in a more nuanced manner. Considerable research has focused on the ability of MPAs to increase fishery returns, but the potential for the broader class of spatial management approaches to outperform MPAs has received far less attention. We use bioeconomic models of seven nearshore fisheries in Southern California to explore the value of optimized spatial management in which the distribution of fishing is chosen to maximize profits. We show that fully optimized spatial management can substantially increase fishery profits relative to optimal nonspatial management but that the magnitude of this increase depends on characteristics of the fishing fleet and target species. Strategically placed MPAs can also increase profits substantially compared with nonspatial management, particularly if fishing costs are low, although profit increases available through optimal MPA-based management are roughly half those from fully optimized spatial management. However, if the same total area is protected by randomly placing MPAs, starkly contrasting results emerge: most random MPA designs reduce expected profits. The high value of spatial management estimated here supports continued interest in spatially explicit fisheries regulations but emphasizes that predicted increases in profits can only be achieved if the fishery is well understood and the regulations are strategically designed.ecological modeling | reserve network design | spatial ecology S patially explicit fisheries management has garnered considerable attention in recent years, and this trend is likely to increase as more focus is placed on marine spatial planning (1, 2). Some forms of spatial management simply prohibit fishing in certain locations, using tools such as no-take marine protected areas (MPAs). In other cases, regulations may have a more nuanced effect on the spatial pattern of fishing. Examples of these more flexible approaches include spatial zoning of fleet access (3), spatially localized gear restrictions (4, 5), and spatially explicit catch quotas (6). In addition to regulation-based approaches, spatial user rights can also affect the distribution of fishing effort (7). These varied tools have all been suggested to improve fisheries outcomes by changing the spatial pattern of harvesting. Such spatial management can take advantage of heterogeneity in the seascape by protecting populations that are key sources of larvae (8) or by tuning harvest regulations in response to local life-history parameters (9).Spatial management is not without its challenges. Spatial approaches often require or at least benefit from spatially explicit data about the environment, biology, and fishery (e.g., ref. 10)...

show abstract

mentioning

confidence: 99%

Marine protected areas and the value of spatially optimized fishery management

Rassweiler

Costello²,

Siegel³

2012

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

126

120

View full text Add to dashboard Cite

show abstract

“…<0.1 -0.3 individuals per m 2 ) mean that successful fertilisation of eggs can fail because abalone are too far apart, and settlement cues such as adult slime trails may be lacking, so that larvae settle in inferior places. This, combined with variability in morphology and biological characteristics, emphasizes the need in these sedentary stocks to monitor at a fine-scale (Prince et al 2008, Mayfield & Saunders 2008). …”

Section: Biology Of Key Speciesmentioning

confidence: 99%

“…Challenging this trend is the escalating level of government resources required to reliably monitor and assess stock abundance, and to enforce catch levels and MLLs, across a proliferating number of meta-populations within each zone (Prince 2005;Prince et al 2008;Saunders and Mayfield 2008). Against this backdrop, it is important to implement a process to prioritise the management and research focus.…”

Section: Management Implications Of Abalone Fisheries Ecologymentioning

confidence: 99%

Influence of Wind and Swelloncatch Rates in a Dive Fishery: A Case Study from the South Australian Abalone Fishery

Stobart

Mayfield

Carroll

2016

Journal of Shellfish Research

View full text Add to dashboard Cite

“…Abalone (Family: Haliotidae) are a good example because rates of growth, maximum length, fecundity, size at sexual maturity, recruitment, and genetic structure all vary at spatial scales from several hundred meters to a few kilometers (Shepherd & Hearn 1983, McShane et al 1988, Worthington et al 1995, Prince 2003, Prince 2005, Miller et al 2009). Increasing spatial management to overcome biological differences among metapopulations requires information on stock status at relevant spatial scales that, in part, has been made possible through development of new approaches (Prince et al 2008, Saunders et al 2009). Nevertheless, assessment and management of these stocks remain challenging, especially in multispecies fisheries.…”

Section: Introductionmentioning

confidence: 99%

“…Although that management plan is currently under review, CPUE is being retained as an indicator of fishery performance. As in other abalone fisheries (e.g., Prince et al 2008), scales of assessment are being reduced to that of individual metapopulations.…”

Section: Introductionmentioning

confidence: 99%

Estimating Species-Specific Catch Rates in a Mixed-Species Dive Fishery

Burch

Mayfield

Stobart

et al. 2011

Journal of Shellfish Research

View full text Add to dashboard Cite

Catch-per-unit-effort (CPUE) is frequently used as a measure of relative abundance in fisheries stock assessment. Determining reliable estimates of species-specific CPUE is more challenging in multispecies, rather than single-species, fisheries because identification of appropriate effort data for each species is often difficult. Divers in the South Australian abalone fishery can harvest blacklip (Haliotis rubra) and greenlip (Haliotis laevigata) abalone simultaneously, but report only a single value for daily fishing effort. This is problematic because total allowable commercial catches are set for each species following species-specific stock assessments in which CPUE is a key index of relative abalone abundance. To provide an evidence-based approach to the identification of the most appropriate CPUE estimation method for ongoing assessment of the fishery, we assessed six diverse CPUE estimation methods for estimating annual, species-specific CPUEs using 30 y of data. The candidate CPUE estimation methods yielded relative CPUE time series with similar temporal trends throughout the 30-y period. These relative CPUE estimates each had low coefficients of variation and were highly correlated with one another, requiring consideration of other factors to determine a preferred method. Using a catch-weighted estimate of CPUE (CPUE Wt ) overcomes many of the problems associated with using the other five methods tested. Specifically, CPUE Wt (1) weights each daily catch and effort objectively; (2) removes the need to ''subset'' the data subjectively, which ensures that data availability and representation are not reduced by arbitrary rules; and (3) is relatively simple to explain to stakeholders and can be applied consistently to greenlip and blacklip abalone at multiple spatial scales across the fishery. Although the requirement to estimate species-specific catch rates in mixed-species dive fisheries is rare, our analyses demonstrate that CPUE Wt could provide a robust measure of species-specific CPUEs across other diverse multispecies fisheries.

show abstract

The novel use of harvest policies and rapid visual assessment to manage spatially complex abalone resources (Genus Haliotis)

Cited by 47 publications

References 19 publications

Marine protected areas and the value of spatially optimized fishery management

Marine protected areas and the value of spatially optimized fishery management

Influence of Wind and Swelloncatch Rates in a Dive Fishery: A Case Study from the South Australian Abalone Fishery

Estimating Species-Specific Catch Rates in a Mixed-Species Dive Fishery

Contact Info

Product

Resources

About