skip to content skip to navigtion accessibility statement

 

New Zealand Journal of Marine and Freshwater Research abstracts


Developing and evaluating a size-structured stock assessment model for the American lobster, Homarus americanus, fishery

Yong Chen
Minoru Kanaiwa

School of Marine Sciences
University of Maine
Orono, ME 04469
United States
email: ychen@maine.edu

Carl Wilson

Maine Department of Marine Resources
West Boothbay Harbor, ME 04575
United States

Abstract  The American lobster, Homarus americanus, is the most important fishery in the north-east United States. Over the last 20 years, the Collie-Sissenwine (catch-survey) model has been used in estimating fishing mortality in the fishery. This is then compared with a biological reference point derived from an egg-per-recruitment model for determining the status of the stock. However, the complexity of the fishery and population biology for American lobster, data limitations, and uncertainty about underlying parameters call for the development of stock assessment models with more biological detail. Complex and simple modelling approaches are complementary and both are likely to remain useful for such an important and complex fishery. The objective of this study is to develop a size-structured stock assessment model for the American lobster. The proposed stock assessment model includes a set of size-structured, seasonal, and sex-specific population dynamics models and a statistical approach incorporating data of different sources. Using a fishery simulation based on the information on the lobster fishery in the Gulf of Maine, we evaluated the performance of the proposed model in the presence of biased errors in various model variables. This study suggests that the proposed stock assessment model performs well in retrieving the population dynamics of the simulated lobster and is rather robust to the biased errors in growth, fishing selectivity, and landings. Future studies need to focus on the evaluation of the model performance under different scenarios with both biased and random errors.

Keywords  Homarus americanus; size-structured model; biased error, simulation; Gulf of Maine

M04074; Online publication date 8 June 2005 Received 18 March 2004; accepted 6 August 2004
New Zealand Journal of Marine and Freshwater Research, 2005, Vol. 39: 645-660
0028-8330/05/3903-0645 © The Royal Society of New Zealand 2005

PDF file of entire paper: Print-quality (683K) | screen-quality (268K)


This year's abstracts | Journal home page | All abstracts | Publishing home page

Page Updated: 8 Jun 2005 |  Accessibility  |  ©Royal Society Of New Zealand 2008  |  Powered by MoST  |  TOP


© The Royal Society of New Zealand
MoST Content Management V3.0.3204