Understanding and Quantifying Bias in Visual Fisheries Surveys Using Advanced Technology-Reference-Cited by-同舟云学术

Understanding and Quantifying Bias in Visual Fisheries Surveys Using Advanced Technology

Published:2019-05 Issue:5 Volume:44 Page:212-215
ISSN:0363-2415
Container-title:Fisheries
language:en
Short-container-title:Fisheries

Author:

Grasty Sarah E.¹,Campbell Matthew D.²

Affiliation:

1. University of South FloridaCollege of Marine Science St. Petersburg FL 33701

2. NOAA National Marine Fisheries ServiceSoutheast Fisheries Science Center Pascagoula MS

Funder

National Oceanic and Atmospheric Administration

National Fish and Wildlife Foundation

Publisher

Wiley

Subject

Nature and Landscape Conservation,Aquatic Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/fsh.10236

Reference5 articles.

1. Camera field‐of‐view and fish abundance estimation: a comparison of individual‐based model output and empirical data;Campbell M. D.;Journal of Experimental Marine Biology and Ecology,2018

2. Evaluation of a video camera technique for indexing abundances of juvenile Pink Snapper Pristipomoides filamentosus, and other Hawaiian insular shelf fishes;Ellis D. M.;Fishery Bulletin,1995

3. Baited remote underwater video surveys undercount sharks at high densities: insights from full‐spherical camera technologies;Kilfoil J. P.;Marine Ecology Press Series,2017

4. The Camera‐Based Assessment Survey System (C‐BASS): a towed camera platform for reef fish abundance surveys and benthic habitat characterization in the Gulf of Mexico;Lembke C.;Continental Shelf Research,2017

5. A new towed platform for the unobtrusive surveying of benthic habitats and organisms;Zawada D. G.;Revista de Biología Tropical: International Journal of Tropical Biology and Conservation,2008

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