Learning about Antarctic krill from the fishery

被引:84
作者
Kawaguchi, So [1 ]
Nicol, Stephen [1 ]
机构
[1] Australian Antarctic Div, Dept Environm & Water Resources, Kingston, Tas 7050, Australia
关键词
CCAMLR; commercial fishery; Southern Ocean;
D O I
10.1017/S0954102007000296
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Antarctic krill has been studied for many decades, but we are still long way from understanding their biology to be able to make reliable predictions about the reaction of their populations to environmental change. This is partly due to certain difficulties in relation to logistics, operations and survey design associated with scientific surveys that have been obstacles for us to better understand krill biology. The krill fishery is the largest fishery in the Southern Ocean, continuously operating since early 1970s. Recent studies revealed its potential to be used as a unique source for scientific discussions to understand krill biology. In this paper, after a brief overview of krill fishery operation and krill biology, we examine how current data collection through the fishery operation could contribute to a greater understanding of krill biology, and then suggest future priorities for fisheries-related research in relation to recent changes in the Southern Ocean environment.
引用
收藏
页码:219 / 230
页数:12
相关论文
共 72 条
[1]   BIOCHEMICAL AND BIOLOGICAL PROFILE OF A NEW ENZYME PREPARATION FROM ANTARCTIC KRILL (EUPHAUSIA-SUPERBA) SUITABLE FOR DEBRIDEMENT OF ULCERATIVE LESIONS [J].
ANHELLER, JE ;
HELLGREN, L ;
KARLSTAM, B ;
VINCENT, J .
ARCHIVES OF DERMATOLOGICAL RESEARCH, 1989, 281 (02) :105-110
[2]  
[Anonymous], P NATL I POLAR RES S
[3]  
[Anonymous], KRILL BIOL ECOLOGY F
[4]  
[Anonymous], 1998, CCAMLR SCI
[5]  
[Anonymous], 2000, Krill: Biology, Ecology and Fisheries
[6]   Natural growth rates in Antarctic krill (Euphausia superba):: II.: Predictive models based on food, temperature, body length, sex, and maturity stage [J].
Atkinson, A ;
Shreeve, RS ;
Hirst, AG ;
Rothery, P ;
Tarling, GA ;
Pond, DW ;
Korb, RE ;
Murphy, EJ ;
Watkins, JL .
LIMNOLOGY AND OCEANOGRAPHY, 2006, 51 (02) :973-987
[7]   PyEvolve: a toolkit for statistical modelling of molecular evolution [J].
Butterfield, A ;
Vedagiri, V ;
Lang, E ;
Lawrence, C ;
Wakefield, MJ ;
Isaev, A ;
Huttley, GA .
BMC BIOINFORMATICS, 2004, 5 (1)
[8]  
BUTTERWORTH DS, 1988, CCAMLR SCI COMMITTEE, V5, P109
[9]  
BYKOWSKI PJ, 1986, MARKETING DIGEST, V6, P11
[10]   Modelling growth of Antarctic krill. II. Novel approach to describing the growth trajectory [J].
Candy, SG ;
Kawaguchi, S .
MARINE ECOLOGY PROGRESS SERIES, 2006, 306 :17-30