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Record W2330442483 · doi:10.4027/bamnpr.2007.03

Movement patterns of black rockfish (Sebastes melanops) in Oregon coastal waters

2007· article· en· W2330442483 on OpenAlexaboutno aff
Steven J. Parker, Polly S. Rankin, J.M. Olson, Robert W. Hannah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsSebastesRockfishFisheryMovement (music)ScorpaenidaeGeologyOceanographyFish <Actinopterygii>BiologyArt

Abstract

fetched live from OpenAlex

We studied the movement patterns of black rockfish (Sebastes melanops) in Oregon coastal waters to estimate home range over daily to annual time scales, determine if females relocate during the reproductive season, and evaluate the influence of environmental variation on movement. We moored 18 acoustic receivers in a 3 × 5 km array south of Newport, Oregon, at depths from 9 to 40 m. We then surgically implanted 42 black rockfish (34-48 cm total length [TL]) with coded, pressure transmitters having an approximate lifespan of 6 months. Fish were tagged in August (n = 6), September (n = 13), October (n = 7), and February (n = 8 depth and 8 non-depth). Fish were temporarily absent from the monitored area for short periods (usually 39 cm (likely mature) from the array were longer in duration than for mature males, especially during the reproductive season (November, January, and February), but both sexes had the longest absences during April through July. These data indicate that black rockfish in open coastal waters live in a very restricted area for long periods as adults, but may relocate periodically. A small home range could make them susceptible to local depletion from targeted fishing, but also make them good candidates for protection using marine reserves. 40 Parker et al.—Movement Patterns of Black Rockfish Introduction Understanding movement patterns and behavior is fundamental to understanding the ecology of a species. Defining an area of normal activity or home range and determining home range size stability is critical in developing strategies to manage local populations (Vincent and Sadovy 1998). In the nearshore environment along the northeast Pacific coast ( 7 m). In addition to logistical challenges, most rockfish suffer barotrauma when captured due to the expansion of gas in their physoclistic swim bladder (Parker et al. 2006). This trauma makes choosing an individual likely to survive capture more risky, makes surgical tagging more difficult, and requires additional studies to conclude that the barotrauma has no significant impact on subsequent movement behavior. Few acoustic telemetry studies of rockfish exist for these reasons. These telemetry studies have typically addressed only a few of these constraints, often by facing great logistical hurdles (Matthews 1990; Pearcy 1992; Starr et 41 Biology, Assessment, and Management of North Pacific Rockfishes al. 2000, 2002). Our study used receiver moorings specifically designed to withstand wave and current action for long periods, yet be periodically retrievable by boat. We also removed excess swim bladder gas at the surface and used surgical implantation of transmitters. Our objectives were to document annual, seasonal, and diel movement patterns of black rockfish, estimate home range size under different environmental conditions, and evaluate female movement during the reproductive season off the Oregon coast. Understanding black rockfish movement patterns with high resolution on both short and long time scales will provide fundamental information necessary to define local population characteristics, movement patterns and pathways, make habitat associations, and aid in the design of MPAs. Materials and methods Study area and acoustic array This study was conducted in the Pacific Ocean near Newport, Oregon, at depths of 9-40 m, within an area normally fished by the recreational groundfish fishery (Fig. 1). We monitored the study site using a rectangular array of 18 VR2 69-kHz omni-directional acoustic receivers (Vemco Ltd., Nova Scotia, Canada) designed to monitor for transmitters in a 1,500 hectare area. The receivers were individually anchored on single buoy lines according to manufacturer specifications, approximately 5 m off bottom. The receivers recorded tag code, receiver number, date, time, and depth of the transmitter (for depth transmitters) at a known location. Range testing showed a normal detection range of 350-500 m radius, and receivers were spaced 700 m apart to allow tags to be detected by more than one receiver. Some receivers were moved slightly to avoid shielding by observed bathymetric features. If during the study, a receiver was lost, it was replaced as soon as possible. We also moored a tag within the array for 27 days to provide an indication of horizontal positioning accuracy and precision. Tagging Fish were captured by barbless hook and line fishing throughout the study area using typical recreational fishing gear periodically from August 2004 through February 2005. We attempted to catch and tag fish throughout the monitored area to minimize transmission interference from multiple tags in the same area and to gather data on fish living at different depths. Coded acoustic V-13 HP transmitters (69 kHz, pressure sensitive [0-50 m] 155 dB output, 13 × 42 mm) were programmed to transmit at a random period of between 30-90 seconds, giving an expected battery life of 6 months (Vemco Ltd.). Black rockfish (34-48 cm TL) were vented to release excess pressure from the expanded swim bladder using an 18 gauge hypodermic needle. No anesthesia 42 Parker et al.—Movement Patterns of Black Rockfish

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.230
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations28
Published2007
Admission routes1
Has abstractyes

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