Application of Catch-Survey Models to the Northern Shrimp Fishery in the Gulf of Maine-Reference-Cited by-同舟云学术

Application of Catch-Survey Models to the Northern Shrimp Fishery in the Gulf of Maine

Published:1999-05 Issue:2 Volume:19 Page:551-568
ISSN:0275-5947
Container-title:North American Journal of Fisheries Management
language:en
Short-container-title:North American Journal of Fisheries Management

Author:

Cadrin Steven X.,Clark Stephen H.,Schick Daniel F.,Armstrong Michael P.,McCarron David,Smith Bruce

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics

Reference41 articles.

1. Abramson, N. Current stock assessment panel. Proceedings of the international pandalid shrimp symposium. Edited by: Frady, T. pp.259–275. Fairbanks University of Alaska, Sea Grant Report 81-3

2. Northwest Atlantic Fisheries Organization, Scientific Council Report 82/VI/64;Anthony V. C.,1982

3. Maine Department of Marine Resources, Reference Document 83/30;Apollonio S.,1984

4. International Council for the Exploration of the Sea, C. M. 1983/B:21;Blott A. J.,1983

Cited by 16 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. Application of a catch multiple survey analysis for Atlantic horseshoe crab Limulus polyphemus in the Delaware Bay;Marine and Coastal Fisheries;2023-09-12

2. Inferring absolute recruitment and legal size population numbers of southern rock lobster ( Jasus edwardsii ) in South Australia's Southern Zone fishery using extended forms of depletion modelling;Fisheries Research;2017-07

3. Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part II: Model evaluation and simulation;Canadian Journal of Fisheries and Aquatic Sciences;2017-03

4. Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part I: Model description and application;Canadian Journal of Fisheries and Aquatic Sciences;2017-03

5. Informing fishery assessment and management with field observations of selectivity and efficiency;Fisheries Research;2016-12