Population Status Assessment and Restoration Modeling of White Abalone<i>Haliotis sorenseni</i>in California

Catton, Cynthia A.; Stierhoff, Kevin L.; Rogers‐Bennett, Laura

doi:10.2983/035.035.0304

Cited by 14 publications

(7 citation statements)

References 16 publications

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“…Lastly, the target abalone reproductive threshold of 0.3 m −2 is derived from the approximate density below which a population of another species, on another continent, crashed (Babcock & Keesing, ). More proximal work in California has suggested a similar minimum stocking density (0.23 m −2 ) for white abalone ( Haliotis sorenseni ) to show positive growth in a population projection model (Catton, Stierhoff, & Rogers‐Bennett, ). Is it possible that pinto abalone in Washington State have a very different threshold density, which would change restoration strategies substantially.…”

Section: Discussionmentioning

confidence: 97%

The survival of hatchery‐origin pinto abalone Haliotis kamtschatkana released into Washington waters

Carson

Morin

Bouma

et al. 2019

Aquatic Conservation

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Wild populations of pinto abalone (Haliotis kamtschatkana) in Washington Statehave declined by 97% since 1992, despite a fishery closure since 1994. No recruitment has been detected recently, indicating probable reproductive failure due to low densities. A pilot programme placed a total of over 11,000 hatchery-origin juveniles, age 18-22 months, at 10 sites in the San Juan Islands.2. Observed (naive) year 1 survival averaged 10.2% (0-23% range) and was most influenced by site compared with lineage or size-at-outplant. Families survived in the approximate proportions that they were outplanted, and there was little support for an effect of size-at-outplant on survival. Detection was lowdue to the small chance of sighting individuals on complex substrate. When derived from repeated sampling, an upper bound on naive detection rate averaged 0.38 and increased with size. When derived from a closed capture-recapture model, average detection was estimated at 0.19. 4. Growth was highly variable and confounded with detection, but an average 3.4% of detected outplants across all sites (0-7.5% range) had reached reproductive size in 2017. 5. A state-space model of exponential population growth was modified to account for imperfect detection and yielded an estimated density of abalone for each survey. Seven out of eight sites included in the model remained above a target abalone density of 0.3 m −2 throughout the project. 6. The majority of tagged abalone made little net movement over weekly and annual timescales, although some emigration likely reduced survival estimates.7. The restoration programme is transitioning from a pilot phase to a production phase, including optimization of hatchery and outplant processes. Existing wellperforming sites will receive additional cohorts every 4-5 years to maintain aggregation densities. New sites will replace poorly performing ones, although this is hampered by a poor understanding of the mechanisms behind site performance.

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Section: Discussionmentioning

confidence: 97%

The survival of hatchery‐origin pinto abalone Haliotis kamtschatkana released into Washington waters

Carson

Morin

Bouma

et al. 2019

Aquatic Conservation

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“…This result is concerning ecologically, particularly given the widespread need for rebuilding of California's abalone stocks, but this concern reflects the slow‐growth biology of abalone species and similar concerns have been raised about other highly depleted abalone species (Catton et al. ).…”

Section: Discussionmentioning

confidence: 98%

“…, Shepherd and Brown , Catton et al. ), sensitivity runs suggested that performance could be sensitive to this form of recruitment limitation when a threshold for this effect was specified to occur at depletion levels >0.05; however, the plausibility of various depletion levels, or associated abalone densities, as determinants of thresholds for recruitment limitation remains an unresolved question (Micheli et al. ).…”

Section: Discussionmentioning

confidence: 99%

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An indicator‐based decision framework for the northern California red abalone fishery

Harford

Dowling

Prince³

et al. 2019

Ecosphere

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Among abalone species that were once harvested along the California coastline, red abalone (Haliotis rufescens) supports the remaining recreational fishery. To support development of a red abalone fishery management plan, non-governmental organizations have initiated expanded data collection and developed fishery management strategies. The latter is the subject of this study, as we present a management strategy evaluation (MSE) of a multi-indicator decision tree. The decision tree relies on landings from each of 56 fishing sites and length frequency information collected during fishery-independent diver surveys at a subset of sites. The decision tree was designed to cope with existing data limitations and to ensure that localized meta-population dynamics were adequately considered in decision-making. It was also necessary to balance the potential for localized abundance changes with the practical issue of implementing fishery regulations at larger spatial scales. The MSE demonstrated that undesirably low stock sizes could be avoided while also continuing to maintain a viable fishery, even under environmental conditions that are detrimental to abalone populations. Under less-severe environmental conditions, stock size was maintained, on average, above the biomass associated with production of maximum sustainable yield. Our discussion centers on steps that were taken to refine the decision tree and to incorporate feedback from scientists and stakeholders and to facilitate transparent evaluation of management options.

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“…In 2001, white abalone H. sorenseni became the first marine invertebrate listed under the US Endangered Species Act, followed by the black abalone H. cracherodii in 2009. Today, white abalone populations are on the brink of extinction, with low population density being the major threat (Stierhoff et al 2012, Catton et al 2016. Without effective restoration actions, white abalone are projected to reach the quasi-extinction threshold of 1000 individuals in the wild in the next 15 yr (Catton et al 2016).…”

Section: Open Pen Access Ccessmentioning

confidence: 99%

Evaluating factors affecting restoration of an endangered marine broadcast-spawning invertebrate using an individual-based model of white abalone

Rogers‐Bennett

2017

Endang. Species. Res.

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Population Status Assessment and Restoration Modeling of White AbaloneHaliotis sorenseniin California

Cited by 14 publications

References 16 publications

The survival of hatchery‐origin pinto abalone Haliotis kamtschatkana released into Washington waters

The survival of hatchery‐origin pinto abalone Haliotis kamtschatkana released into Washington waters

An indicator‐based decision framework for the northern California red abalone fishery

Evaluating factors affecting restoration of an endangered marine broadcast-spawning invertebrate using an individual-based model of white abalone

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