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Tuna habitat quantitative evaluation method

A technique for quantitative assessment and habitat, applied in the field of aquaculture, can solve problems in seine fishery and other problems, and achieve the effect of small deviation of habitat characteristics

Pending Publication Date: 2020-06-02
SHANGHAI OCEAN UNIV
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Problems solved by technology

However, the complexity of seine fisheries makes the choice of these two variables still problematic

Method used

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  • Tuna habitat quantitative evaluation method

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Embodiment

[0049] Example: such as figure 1 Shown, the embodiment of the present invention comprises a kind of tuna habitat quantitative evaluation method, it comprises the following steps:

[0050] (S1) Obtain the fixed impact factor of the target sea area; discretize the target sea area into several space-time units, and obtain the unit fishing effort catch, random effect factor and marine environment variables of each space-time unit;

[0051] (S2) Using the generalized mixed effect model with Gaussian distribution as the error term, standardize the catch per unit fishing effort according to the fixed impact factor and the random effect factor, and obtain the standardized catch per unit fishing effort;

[0052] (S3) According to the marine environment variables of each spatio-temporal unit and the catch of standardized unit fishing effort, the habitat model is obtained by using a generalized additive model with a log-normal error distribution;

[0053] (S4) Calculating a comprehensiv...

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Abstract

The invention discloses a tuna habitat quantitative evaluation method. The method comprises the following steps: (1) acquiring a fixed influence factor of a target sea area; dispersing the target seaarea into a plurality of space-time units, and obtaining the unit fishing effort fishing yield, the random effect factor and the marine environment variable of each space-time unit; (2) adopting a generalized hybrid effect model with an error term in Gaussian distribution, and standardizing the fishing yield of unit fishing effort according to a fixed influence factor and a random effect factor; (S3) obtaining a habitat model by adopting a generalized additive model of logarithmic normal error distribution according to the marine environment variable of each space-time unit and the standard unit fishing effort fishing yield; and (S4) calculating a comprehensive habitat index according to the habitat model. According to the method, the two models are combined and applied, so that the environment can be associated with the actual abundance instead of the nominal CPUE, and the acquired habitat characteristic deviation is smaller.

Description

technical field [0001] The invention relates to the field of fisheries, in particular to a method for predicting the habitat of tuna. Background technique [0002] The equatorial Pacific, especially the warm pool area of ​​the western Pacific, is considered the most productive fishery and dominates the global tuna catch, of which more than 70% is caught by the purse seine industry, and the main catch is the surface clustered skipjack ( Tuna species such as Katsuwanus Pelamis) and yellowfin tuna (Thunnus Albacares). [0003] Current habitat modeling methods for tuna have evolved from various static models. These models include parametric composite statistical regressions such as generalized linear models (GLMs), generalized additive models (GAMs), generalized additive mixed models (GAMMs), empirical cumulative distributions, boosted regression tree models (BRTs), or ecological niche models (ENM ) [1] . Furthermore, future impacts of anthropogenic climate change and fisher...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/06393G06Q50/02
Inventor 周成王禹程王学昉唐浩
Owner SHANGHAI OCEAN UNIV
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