Novel fishing condition forecasting model and method based on high-resolution ocean forecasting system

Abstract

The invention belongs to the technical field of fishing condition forecasting, and particularly relates to a novel fishing condition forecasting model and method based on a high-resolution ocean forecasting system, and the model comprises a hydrodynamic module, a passive movement module and a fishery ecological module. The hydrodynamic module comprises a complete hydrodynamic environment; the passive movement module comprises a passive movement process; and the fishery ecological module comprises an active movement strategy and simulation and forecast of complete life history of multiple fingerlings. The model and the forecasting method provided by the invention support a complete hydrodynamic process, relate to passive movement of fishes and active movement of migratory fishes, and can be used for simulating and forecasting the complete life history of multiple fish fingerlings, and the forecasting result can provide some fish condition forecasting products for guiding fishery scientific production, and can provide reference for optimizing fishery resource management and the like.

Description

technical field [0001] The invention belongs to the technical field of fishery forecasting, and in particular relates to a new fishery forecasting model and method based on a high-resolution ocean forecasting system. Background technique [0002] Fish resources are huge in the ocean, and their spatial distribution is wide, so it is difficult to investigate. The study of their population dynamics has always been a major challenge for fishery management and fishery research. In the past two decades, many scholars have mainly used Individual-based Model (IBM) to solve this ecological problem. IBM is composed of ocean physical model and biological model, with individual or spatial unit as the target, to study its time evolution and spatial movement, so as to obtain the spatio-temporal pattern of the whole model. [0003] However, IBM's application has many limitations. In the research, considering the complete ocean physical process is crucial to improve the accuracy of the fi...

AI Technical Summary

Problems solved by technology

In the past, IBM was mainly used to simulate the passive movement process of a single fish species in the larvae and juvenile stages, and was rarely used in the study of active movements in the mature stage.

In addition, in terms of fishery ecology, most of the past only supported the simulation of a single fish species, and the simulated fishery ecological process is not complete, the biological variables related to growth are relatively simple, and only natural death is considered in the setting of mortality rate to simulate medium and long-term mortality activity, not involving unnatural mortality

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