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Resource complementary quantity prediction method of Peru squid

A resource replenishment and forecasting model technology, applied in the field of Peruvian squid resource replenishment prediction, can solve problems such as single environmental factors, achieve significant technical effects, and improve forecasting accuracy

Inactive Publication Date: 2016-12-14
SHANGHAI OCEAN UNIV
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Problems solved by technology

However, the environmental factors selected in previous studies are relatively single, and the forecast models established are also simple linear models.

Method used

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  • Resource complementary quantity prediction method of Peru squid
  • Resource complementary quantity prediction method of Peru squid
  • Resource complementary quantity prediction method of Peru squid

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Experimental program
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Embodiment Construction

[0017] The replenishment of pelagic commercial catfish resources is closely related to the habitat environment of its spawning grounds and feeding grounds. Therefore, it is possible to calculate the correlation between the time-series values ​​of the marine environmental factors in the feeding field of the soft fish in the hunting month and the CPUE time series of this year, and select the marine environmental factors in sea areas with high correlation as the influence of the fishing habitat on the soft fish. The impact of fish resource replenishment; calculate the correlation between the time series value of the marine environmental factors in the spawning ground of soft fish in the spawning month and the CPUE time series of the next year, and select the marine environmental factors in sea areas with high correlation as the spawning time series. Effects of habitat on the recruitment of squid fish stocks.

[0018] The proportion of the optimum surface water temperature range o...

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Abstract

The invention provides a resource complementary quantity prediction method of Peru squid. The resource complementary quantity prediction method is characterized in that by use of correlation between a time sequence value formed by marine environment factors of a feeding ground in feeding months and a CPUE time sequence of this year and selecting marine environment factors of a sea area with high correlation as correlation factors of influence on complementary quantity of squid resources by a feeding habitat environment; by use of correlation between a time sequence value formed by marine environment factors of an oviposition month and an oviposition field and a CPUE time sequence of next year, selecting marine environment factors of a sea area with high correlation as correlation factors of influence on complementary quantity of squid resources by an oviposition habitat environment; by use of the proportion of suitable surface water temperature scope of oviposition months and oviposition fields to total area and the proportion of suitable surface water temperature scope of feeding months and feeding fields to total area, using P<s> and P<f> to represent the oviposition field inhabit environment suitable degree and the feeding field inhabit environment suitable degree respectively; and using a selected environment factor and different combinations of the P<s> and P<f>, establishing BP network structure prediction models, and selecting an optimal model. The resource complementary quantity prediction method is used for medium and long term fishery forecast.

Description

technical field [0001] The invention relates to a method for mid- and long-term forecasting of fishery conditions, in particular to a method for forecasting Peruvian squid resource replenishment. Background technique [0002] Forecasting of resource replenishment is a kind of medium and long-term forecast of fishery situation. Accurate forecasting of resource replenishment is the key to scientific management and rational development of fishery. The pelagic economic catfish is a species with a short life cycle. Although it has a strong self-regulation ability, it can respond to changes in the marine environment in a short period of time and quickly adapt to such changes. The impact of resource replenishment is still significant. Existing studies have shown that environmental factors are the most important factor affecting the replenishment of pelagic catfish resources. Therefore, the current forecast research on its resource replenishment is also based on this. However, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/02G06N3/08
CPCG06Q50/02G06N3/084
Inventor 陈新军汪金涛金岳胡贯宇魏广恩陈洋洋李娜
Owner SHANGHAI OCEAN UNIV
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