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the humboldt current system of northern and central chile - figema

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THE HUMBOLDT CURRENT SYSTEM OF NORTHERN AND CENTRAL CHILEBiomass (t)Million US$6000500040003000200010001997 1998 1999 2000Available biomassControl biomass00 20 40 60 80 100 120 140 160WeekA20Income7Costs1665124Cervimunida johni83Heterocarpus reedi241001997/98 1998/99 1999/00 1997/98 1998/99 1999/00Fishing seasonFigure 25 (A) Biomass dynamics <strong>of</strong> <strong>the</strong> nylon shrimp in Region IV. Available biomass is <strong>the</strong> biomass thatis available to <strong>the</strong> fishery <strong>and</strong> control biomass is <strong>the</strong> estimated total biomass <strong>of</strong> <strong>the</strong> resource according to <strong>the</strong>model by Pérez (2005); bars above figure represent short cycles (light shading) <strong>and</strong> long cycles (dark shading)when resource becomes unavailable to fishery for biological reasons; for fur<strong>the</strong>r details see text <strong>and</strong> reference.Weeks are numbered beginning with <strong>the</strong> week <strong>of</strong> 1 September 1997. (B) Comparison <strong>of</strong> total income withtotal costs by resource <strong>of</strong> crustacean trawl fishery in Region IV.Beffort, measured in terms <strong>of</strong> hauls, resulting in a decrease in <strong>the</strong> expected economic benefit basedon administrative measures. Pérez (2003) explored <strong>the</strong> bioeconomic effect produced by <strong>the</strong> decreasein CPUE in <strong>the</strong> nylon shrimp <strong>and</strong> yellow squat lobster fisheries in nor<strong>the</strong>rn Chile during 1997–2000.A biological-technological simulation model was used by Pérez (2005), which took both physical<strong>and</strong> biological variables into account. An economic submodel was incorporated into this model inorder to carry out an integrated analysis <strong>of</strong> <strong>the</strong> crustacean fisheries, which included <strong>the</strong> subsectorinvolving catches <strong>and</strong> <strong>the</strong>ir processing. The economic results obtained, when integrated with <strong>the</strong>catch results <strong>and</strong> size <strong>of</strong> <strong>the</strong> stocks, allowed <strong>the</strong> dynamics <strong>of</strong> this fishery to be explained inRegions III <strong>and</strong> IV during 1997–2000, when <strong>the</strong> catch increased by 21%, <strong>and</strong> final productionincreased by 24% (measured as frozen tails), although <strong>the</strong> variable costs increased by only 11%(Figure 25B). In this same period <strong>the</strong> fisheries costs increased by 117% <strong>and</strong> <strong>the</strong> total productioncost increased by 93%. The results showed that part <strong>of</strong> <strong>the</strong> economic benefit was lost due to <strong>the</strong>effect <strong>of</strong> a decrease in <strong>the</strong> biomasses <strong>of</strong> both resources <strong>and</strong> an excessive increase in <strong>the</strong> averageproduction costs (due to increased costs <strong>of</strong> fishing <strong>and</strong> extraction).This example underscores <strong>the</strong> importance <strong>of</strong> incorporating economic reference points in additionto biological (biomass) <strong>and</strong> fishery variables (CPUE <strong>and</strong> catch). Fur<strong>the</strong>rmore, basic biologicaldata (larval ecology, settlement biology, habitat requirements, seasonal migrations, <strong>and</strong> matingbehaviour) still need to be revealed for <strong>the</strong>se three crustacean species. At present, very little is287

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