Management strategies for short-lived species: The case of Australia's Northern Prawn Fishery 1. Accounting for multiple species, spatial structure and implementation uncertainty when evaluating risk

被引:59
作者
Dichmont, Catherine M.
Deng, Aijun
Punt, Andre E.
Venables, William
Haddon, Malcolm
机构
[1] CSIRO, Cleveland, Qld 4163, Australia
[2] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA
[3] CSIRO, Hobart, Tas 7001, Australia
[4] Univ Tasmania, MRL, TAFI, Hobart, Tas 7001, Australia
关键词
input controls; Monte Carlo simulation; multispecies modelling; Northern Prawn Fishery; spatial structure;
D O I
10.1016/j.fishres.2006.06.010
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
The Northern Prawn Fishery harvests a variety of prawn species including some short-lived species with highly variable recruitment such as banana prawns and slightly longer-lived tiger prawns with less variable recruitment. An evaluation of stock assessment methods and management strategies for the Northern Prawn Fishery using the management strategy evaluation (MSE) approach requires an (operating) model of the resource to act as the 'truth' for the analyses. A five-stock, two tiger prawn species operating model with a weekly time-step is developed and conditioned using more than 30 years of logbook catch and effort data as well as the results of fishery-independent research. The operating model is projected beyond the present using stock-specific stock-recruitment relationships. Banana prawns are not modelled explicitly, but their impact on the management system is simulated empirically. The input control nature of the management system is mimicked using an effort allocation model that allocates effort by species, area and week. This model allows for the impact of changes over time in efficiency, a key uncertainty in the assessment of these species, and the impact of management implementation error, which has historically been substantial. Some of the properties of the operating model are illustrated by projections based on a constant effort policy. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:204 / 220
页数:17
相关论文
共 48 条
[1]   A generalized estimating equations approach for analysis of the impact of new technology on a trawl fishery [J].
Bishop, J ;
Die, D ;
Wang, YG .
AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 2000, 42 (02) :159-177
[2]   Analysing commercial catch and effort data from a penaeid trawl fishery - A comparison of linear models, mixed models, and generalised estimating equations approaches [J].
Bishop, J ;
Venables, WN ;
Wang, YG .
FISHERIES RESEARCH, 2004, 70 (2-3) :179-193
[3]  
BUCKWORTH RC, 1985, P 2 AUSTR NAT PRAWN, P213
[4]   Experiences in the evaluation and implementation of management procedures [J].
Butterworth, DS ;
Punt, AE .
ICES JOURNAL OF MARINE SCIENCE, 1999, 56 (06) :985-998
[5]  
Butterworth DS, 1997, AM FISH S S, V20, P83
[6]  
Cartright I., 2005, SUCCESSFUL FISHERIES, P197
[7]  
CHAPMAN L, 2002, EC IMPACT NO PRAWN F
[9]  
COLES RG, 1989, BIOL SEAGRASSES AQUA, V2, P261
[10]   Modelling the recruitment of tiger prawns Penaeus esculentus and P-semisulcatus to nursery grounds in the Gulf of Carpentaria, northern Australia:: implications for assessing stock-recruitment relationships [J].
Condie, SA ;
Loneragan, NR ;
Die, DJ .
MARINE ECOLOGY PROGRESS SERIES, 1999, 178 :55-68