The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Bait attraction affects the performance of remote underwater video stations in assessment of demersal fish community structure
Open accessAbstract
Discriminating marine fish assemblages at broad scales can be difficult because of heterogeneity within their habitats, variability in patterns of behaviour and abundance of fish between habitats, and sampling biases in extractive fishing techniques when used across a range of habitats. Remote underwater video stations have recently been developed to help overcome these problems, but the use of bait as an attractant raises questions about bias towards scavengers and predators in samples of fish communities. We compared the ability of baited and unbaited underwater video stations to discriminate between fish assemblages inhabiting distinct benthic habitats in temperate and tropical continental shelf waters in Australia, to help test whether the bait attracted predatory and scavenging species to the video in disproportionate numbers in comparison to other trophic groups, such as herbivores. Data from baited video cameras displayed a clearer discrimination in constrained canonical analysis of principal coordinates of fish assemblages between marine habitats in both tropical and temperate environments. Analysis of the key trophic groups indicated that bait attracted greater numbers of predatory and scavenging species without decreasing the abundances of herbivorous or omnivorous fishes. There was greater similarity between replicate samples from baited video within habitats, implying that the use of bait will provide better statistical power to detect spatial and temporal changes in the structure of fish assemblages and the relative abundances of individual species within them.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
A comparison of temperate reef fish assemblages recorded by three underwater stereo-video techniques
Watson, D. L., Harvey, E. S., Anderson, M. J., & Kendrick, G. A. (2005) · Marine Biology · doi:10.1007/s00227-005-0090-6 · Cited by 366
Self-citation
Cited by
Mallet, D., & Pelletier, D. (2014) · Fisheries Research · doi:10.1016/j.fishres.2014.01.019 · Cited by 440
Colton, M., & Swearer, S. (2010) · Marine Ecology Progress Series · doi:10.3354/meps08377 · Cited by 171
Wraith, J., Lynch, T., Minchinton, T., Broad, A., & Davis, A. (2013) · Marine Ecology Progress Series · doi:10.3354/meps10137 · Cited by 115
Hardinge, J., Harvey, E. S., Saunders, B. J., & Newman, S. J. (2013) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2013.09.018 · Cited by 93
Self-citationBouchet, P. J., & Meeuwig, J. J. (2015) · Ecosphere · doi:10.1890/es14-00380.1 · Cited by 59
Metadata
- Authors
- Harvey, E., Cappo, M., Butler, J., Hall, N., & Kendrick, G.
- Venue
- Marine Ecology Progress Series
- Publisher
- Inter-Research Science Center
- Published
- 2007-11-22
- Volume
- 350
- Pages
- 245-254
- ISSN
- 0171-8630 (ISSN-L)
- 1616-1599
- OpenAlex
- W2153089036
- Cited by
- 392
- References
- 2
- FWCI
- 4.41
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bait attraction affects the performance of remote underwater video stations in assessment of demersal fish community structure. https://app.cochat.ai/papers/10.3354/meps07192
- The paper
- Harvey, E., Cappo, M., Butler, J., Hall, N., & Kendrick, G. (2007). Bait attraction affects the performance of remote underwater video stations in assessment of demersal fish community structure. Marine Ecology Progress Series. https://doi.org/10.3354/meps07192
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.