Southwest Atlantic illex argentinus resource supplement quantity forecasting method

A technology of resource replenishment and prediction method, applied in the field of forecasting the resource replenishment of Argentinian squid in the Southwest Atlantic Ocean, can solve the problem that remote sensing cannot directly obtain fish stock information in fisheries

Active Publication Date: 2013-04-24
SHANGHAI OCEAN UNIV +1
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Problems solved by technology

[0007] However, there are disadvantages in using remote sensing technology to obtain information in the ocean. Marine fish live below the surface of the ocean, and remote sensing cannot directly obtain information on fish stocks in fishing grounds.
Only through the research and analysis of the environmental information of the fishing ground and ocean water body

Method used

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Embodiment Construction

[0022] In order to make the technical means, creative features, objectives and effects of the present invention easy to understand, the present invention is further explained.

[0023] Argentine soft fish can generally be divided into four groups including Patagonia. Among them, the Patagonian population is the main fishing target of ocean squid fishing boats such as China. Its annual output is more than 400,000 tons, and its spawning time Usually from May to August, the spawning grounds are distributed in the waters near the mouth of the Plata River on the border of Brazil and Argentina. It is a warm water species. As an annual short life cycle species, Argentine scorpionfish will die after spawning. Therefore, there is no remaining population but a supplementary population. The amount of supplementation in the coming year depends on the marine environmental conditions of the spawning ground. If the marine environment of the spawning ground is suitable, the survival rate of the ...

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Abstract

The invention relays to a southwest Atlantic illex argentinus resource supplement quantity forecasting method which comprises (1) calculating the past sea surface data (SST); (2) calculating the past sea surface temperature departure average value (SSTA); (3) calculating the past fishing fish catch (Catch) every year; (4) calculating the past unit fishing effort fish catch (CPUE) every year; (5) obtaining a relationship among the fishing fish catch (Catch), the sea surface data (SST) and the sea surface temperature departure average value (SSTA); (6) obtaining a relationship among the unit fishing effort fish catch (CPUE), the sea surface data (SST) and the sea surface temperature departure average value (SSTA); (7) obtaining the sea surface data (SST) of the year; (8) generating the sea surface temperature departure average value (SSTA) of the year; (9) calculating the past fishing fish catch (Catch) and the unit fishing effort fish catch (CPUE) of the next year and forecasting southwest Atlantic illex argentinus resource supplement quantity of the next year.

Description

Technical field [0001] The present invention uses ocean remote sensing to obtain surface temperature data and geographic information system technology to generate ocean surface temperature contours in the sea area of ​​the Southwest Atlantic Ocean. It combines the conditions of the Falkland cold current and the Brazilian warm current during the spawning period to 40°S The surface temperature of -42°S, 56°W-58°W sea area is used as an indicator to predict the replenishment of Argentine scorpionfish resources in the coming year. Background technique [0002] The Argentine smooth fish Illex argentinus belongs to the genus Cephalopods, Asplendidae, and Genus. It is widely distributed in the 22°S-54°S continental shelf and continental slope of the southwest Atlantic Ocean. Among them, 35°S-52°S is particularly rich in resources. It is currently one of the most important resources of cephalopods in the world. It is an oceanic shallow sea species, inhabiting water depth from the surfac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01K61/00
CPCY02A40/81
Inventor 陈新军方舟陆化杰李建华杨铭霞王从军余为易倩李伟文
Owner SHANGHAI OCEAN UNIV
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