Scientists predict slump in Falklands squid stocks
<i>Illex argentinus</i> <br>© BAS Press Office
Record low numbers of highly-prized squid have devastated the Falkland Islands fishery this year. Less than 10,000 tonnes have been caught so far, making this the worst year since the fishery began in 1987. As described in this week`s SCIENCE British Antarctic Survey (BAS) scientists believe unfavourable oceanographic conditions in squid spawning grounds caused the slump in the fishery which is normally worth £17 million ($US 25 million) in licence fees.
The flying squid Illex argentinus breeds close to South America`s Plate River estuary during June and July. During the following six months young squid make the 1000km journey to feeding grounds off the Falkland Islands in the South Atlantic where they are fished commercially by vessels mainly from East Asia. Squid live for only one year and the number entering the fishery each year is highly variable.
By comparing oceanographic and environmental conditions with squid abundance, scientists have developed a model to predict potential stocks each year. The model suggests that when ocean temperatures in spawning grounds are relatively cool (14°C) greater numbers of squid larvae survive before migrating south to the Falkland Islands. In years when ocean temperatures are warmer (18°C) fewer larvae survive. BAS scientists conclude that cooler conditions produce better catches the following year. BAS biologist Dr Claire Waluda found sea surface temperatures in the nursery grounds to be 1.5ºC warmer than average during June and July 2001. The BAS model predicted a very low catch of 73,000 tonnes for 2002, where an exceptionally good year can yield over 250,000 tonnes.
She says, “The squid fishery around the Falkland Islands usually runs from March-June, and targets adult squid as they enter these waters to feed. As squid only live for one year, the fishery is highly variable from year to year, which makes sustainable management of stocks challenging. Our research, although at an early stage, has the potential to predict available stocks before the start of each fishing season and help improve forecasting for the fishery.”
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