A Collaborative Aerial Survey of Coastal Pelagic Species in Nearshore California Waters-Reference-Cited by-同舟云学术

A Collaborative Aerial Survey of Coastal Pelagic Species in Nearshore California Waters

Published:2022-11 Issue:11 Volume:47 Page:500-508
ISSN:0363-2415
Container-title:Fisheries
language:en
Short-container-title:Fisheries

Author:

Lynn Kirk¹,Dorval Emmanis²,Porzio Dianna³,Nguyen Trung³

Affiliation:

1. California Department of Fish and Wildlife, Marine Region 8901 La Jolla Shores Drive La Jolla CA 92037

2. Lynker Technologies LLC, under contract with NOAA ‐ Southwest Fisheries Science Center

3. California Department of Fish and Wildlife Los Alamitos CA

Funder

California Department of Fish and Wildlife

National Oceanic and Atmospheric Administration

Publisher

Wiley

Subject

Nature and Landscape Conservation,Aquatic Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/fsh.10840

Reference36 articles.

1. A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images

2. Aerial surveys to monitor bluefin tuna abundance and track efficiency of management measures

3. Aerial census of whale sharks (Rhincodon typus) on the northern KwaZulu-Natal coast, South Africa

4. CWPA (California Wetfish Producers Association).2021. Available:https://californiawetfish.org. (September 2022).

5. Dorval E. andK.Lynn.2019.Accuracy and precision of Pacific Sardine (Sardinops sagax) and Northern Anchovy (Engraulis mordax) biomass estimated from aerial surveys in nearshore waters off California. Progress report. Available upon request.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Short-term movement patterns of the Pacific sleeper shark off California;California Fish and Wildlife Journal;2024-06-06

2. Computing bias and variance for Pacific sardine (Sardinops sagax) biomass estimated from aerial surveys in California nearshore waters;Fisheries Research;2024-06

3. The reproducibility crisis meets stock assessment science: Sources of inadvertent bias in the stock assessment prioritization and review process;Fisheries Research;2023-10