Direct Estimates Of Reef Fish Abundance Across An Artificial Reef Network

Powers, Sean P; Drymon, J. Marcus; Hightower, Crystal L; Carleton, Liese M; Hoenig, John

doi:10.1139/cjfas-2022-0094

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Direct Estimates Of Reef Fish Abundance Across An Artificial Reef Network

2022
By Powers, Sean P ; Drymon, J. Marcus ; Hightower, Crystal L ; ...
Source: Canadian Journal of Fisheries and Aquatic Sciences (2022)

[PDF-1.11 MB]

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Journal Title:

Canadian Journal of Fisheries and Aquatic Sciences
Personal Author:

Powers, Sean P ; Drymon, J. Marcus ; Hightower, Crystal L ; Carleton, Liese M ; Hoenig, John

Powers, Sean P ; Drymon, J. Marcus ; Hightower, Crystal L ; Carleton, Liese M ; Hoenig, John Less -
NOAA Program & Office:

Sea Grant
Sea Grant Program:

MASGC (Mississippi-Alabama Sea Grant Consortium)
Description:

Fisheries-independent surveys are commonly used to create indices of relative abundance. If properly designed and calibrated, these surveys may also be used to estimate absolute abundance Here, we demonstrate the efficacy of this approach by estimating the absolute abundance of red lionfish (Pterois volitans), gray triggerfish (Balistes capriscus), and red snapper (Lutjanus campechanus) across an extensive network of artificial reefs using camera counts, indices of relative abundance, calibration factors and index-removal estimators. From 2012-2017, per reef estimates increased for red lionfish (20 X), gray triggerfish (2.1 X) and red snapper (2.2 X). Network-wide absolute abundances were calculated by multiplying the average per reef estimate by the estimated number of reefs in the network. All increases were consistent with predictions of stock assessment (red snapper), management actions (gray triggerfish) or invasive species colonization (red lionfish). Our methodology demonstrates how estimates of absolute abundance can be derived from fishery-independent surveys and used to evaluate the outputs of stock assessments both in direction and magnitude and quantify critical ecosystem components.
Keywords:

[+]

Aquatic Science Ecology, Evolution, Behavior And Systematics
Source:

Canadian Journal of Fisheries and Aquatic Sciences (2022)
DOI:

https://doi.org/10.1139/cjfas-2022-0094
ISSN:

0706-652X;1205-7533;
Format:

PDF
Publisher:

Canadian Science Publishing
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
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Library
Main Document Checksum:

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urn:sha256:a8b5661a9c828afbe8d24cf0feee648023d9ed6a51bb1013ec6b7e3f32a683c9
Download URL:

https://repository.library.noaa.gov/view/noaa/54399/noaa_54399_DS1.pdf
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Direct Estimates Of Reef Fish Abundance Across An Artificial Reef Network

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