An assessment of juvenile Pacific Ocean perch (Sebastes alutus) habitat use in a deepwater nursery

Rooper, Christopher N.; Boldt, Jennifer L.; Zimmermann, Mark

doi:10.1016/j.ecss.2007.05.006

Cited by 26 publications

(35 citation statements)

References 30 publications

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“…These observations support previous ones made in the same study area (Rooper and Boldt, 2005;Stone, 2006;Rooper et al, 2007) and elsewhere in the northeast Pacifi c Ocean (Krieger and Wing, 2002;Du Preez and Tunnicliffe, 2011) that some species, particularly juvenile rockfi shes (Family Scorpaenidae, Sebastes spp. ), are much more abundant in habitats that support dense assemblages of corals, sponges, and other emergent epifauna.…”

Section: Discussionsupporting

confidence: 81%

“…Although emergent epifauna are common (present in more than half of the video frames sampled) in the central Aleutian Islands, most fi sh, crab, and octopod taxa clearly aggregate where corals and other emergent epifauna are most abundant. Results from this study (Table 9) agree closely with fi ne-scale (i.e., meters) species-association work previously done in the central Aleutian Islands (Stone, 2006;Rooper et al, 2007). One notable exception between this study and Stone (2006) is that fewer Pacifi c Ocean Perch were associated with corals (59% compared to 85%).…”

Section: Discussionsupporting

confidence: 79%

“…Previous in situ observations of fi sh and crab distribution in the central Aleutian Islands have been limited to depths shallower than 367 m (Stone, 2006;Rooper et al, 2007). Fisheries records and stock assessment surveys conducted in the region provide additional information on fi sh distribution in deeper waters (depths to ~1000 m), but provide only large-scale (i.e., kilometers) information on fi sh distribution relative to habitat and species associations with emergent epifauna.…”

Section: Discussionmentioning

confidence: 99%

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NOAA Prof. Paper NMFS 16: The ecology of deep-sea coral and sponge habitats of the central Aleutian Islands of Alaska

Stone¹

2014

NOAA Professional Paper NMFS

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Section: Discussionsupporting

confidence: 81%

Section: Discussionsupporting

confidence: 79%

Section: Discussionmentioning

confidence: 99%

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NOAA Prof. Paper NMFS 16: The ecology of deep-sea coral and sponge habitats of the central Aleutian Islands of Alaska

Stone¹

2014

NOAA Professional Paper NMFS

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“…Certain groundfish species, such as rockfishes (Sebastes spp.) have mixed distribution in trawlable and untrawlable habitat or prefer rugged habitat inaccessible to bottom-trawl gear (Stein et al, 1992;Clausen and Heifetz, 2002;Jagielo et al, 2003;Rooper et al, 2007). Consequently, the proportion of the population in untrawlable habitat is undersampled or not sampled at all, and the sampled population is assumed to be representative of the entire population for the purpose of the stock assessment.…”

Section: Introductionmentioning

confidence: 98%

Assessment of trawlable and untrawlable seafloor using multibeam-derived metrics

Pirtle

Weber

Wilson

et al. 2015

Methods in Oceanography

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“…Hard seafloor in Alaska is often covered by a combination of benthic invertebrates, including corals and sponges (Freese 2001), and rockfishes are often associated with these invertebrates (Rooper & Boldt 2005, Rooper et al 2007). The log-transformed CPUE of coral and sponge (combined) was used as an index of the amount of potential refuge from predation at each trawl tow site in the present analysis.…”

Section: Methodsmentioning

confidence: 99%

Predicting presence and abundance of demersal fishes: a model application to shortspine thornyhead Sebastolobus alascanus

Rooper

Martin²

2009

Mar. Ecol. Prog. Ser.

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Predicting the abundance of marine fishes based on habitat models is often difficult due to the presence of large numbers of zero observations. The objective of this study was to analyze the ability of a 2-stage model to predict the presence and abundance of a rockfish species, shortspine thornyhead Sebastolobus alascanus. The data used for these analyses were collected during bottomtrawl surveys of the Gulf of Alaska ecosystem from 1993 to 2007 and in the Aleutian Islands ecosystem from 1994 to 2006. The presence of shortspine thornyhead was predicted from the 5th and 95th percentiles of the cumulative distribution function resampled over depth and temperature. The results predicted shortspine thornyhead would not occur at depths <176 m or > 671 m, and presence or absence was correctly predicted at 86.3% of the trawl survey stations. Environmental variables were then used to model shortspine thornyhead abundance at stations where presence was predicted. The best-fitting model of abundance included the variables depth, local slope, thermocline temperature, shrimp catch per unit effort (CPUE), and an index of predation refuge. The model explained 72.4% of the variation in 1993-2005 Gulf of Alaska survey data and 73.7% of the variation in the 2007 data from the Gulf of Alaska. The model explained only 23.9% of the variation in shortspine thornyhead CPUE from the Aleutian Islands bottom-trawl surveys from 1994 to 2006. The habitat model included important variables for survival and growth in order to provide more biologically meaningful results than with other modeling methods. KEY WORDS: Rockfish · Fish habitat · Fish distributions · Environmental variables · Alaska Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 379: [253][254][255][256][257][258][259][260][261][262][263][264][265][266] 2009 gression or general linear model) or non-parametric (general additive model) model to predict abundance (Welsh et al. 1996, Barry & Welsh 2002. The general additive models or general linear models can quite effectively describe the data patterns and predict observations (Swartzman et al. 1992, Stoner et al. 2001, Walsh et al. 2004). However, the results of the analyses may be difficult to interpret in terms of the biology of the organism, and predictions of presence and abundance outside the region or years where the model was parameterized may be inaccurate. To provide more biologically meaningful results from these models, it would be preferable to utilize relationships based on the underlying processes affecting the organism's growth and survival; however, these are seldom measured directly.Niche theory predicts that a population's abundance should change along a resource continuum that defines its habitat (Hutchinson 1957). These relationships between the environment and population abundance have been described by linear relationships, densitydependent functions, and dome-shaped curves (May 1973, Murawski & Finn 1988, Friedlander & Parrish 1998, Iles & Beverto...

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An assessment of juvenile Pacific Ocean perch (Sebastes alutus) habitat use in a deepwater nursery

Cited by 26 publications

References 30 publications

NOAA Prof. Paper NMFS 16: The ecology of deep-sea coral and sponge habitats of the central Aleutian Islands of Alaska

NOAA Prof. Paper NMFS 16: The ecology of deep-sea coral and sponge habitats of the central Aleutian Islands of Alaska

Assessment of trawlable and untrawlable seafloor using multibeam-derived metrics

Predicting presence and abundance of demersal fishes: a model application to shortspine thornyhead Sebastolobus alascanus

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