Hexagrammos otakii population dynamic DEB-IBM model and modeling method

Abstract

The invention provides a hexagrammos otakii population dynamic DEB-IBM model and a modeling method. The model comprises two types of model entities including individuals and an environment; the individuals are divided into embryos, juvenile fishes, male adult fishes and female adult fishes according to ages and genders, wherein the life history characteristics of the individuals are represented by four state variables in a hexagrammos otakii DEB model, namely a structure, L, cm, energy reserve, E, J, development, EH, J and breeding cache, ER, J; and according to the environment, the state variables comprise a temperature time sequence and a food concentration time sequence. The modeling method comprises the following steps of (1) defining the state variables and parameters; (2) performing a model initialization process; (3) establishing a running program; (4) adding a sub-model; and (5) running the model. According to the model and the modeling method, energy is used as flux in a model framework and penetrates through the whole life cycle and population changes, so that the problem that the parameters are not easy to obtain is solved to a great extent, and the coupling process of the fish population model and an external environment module is optimized.

Description

technical field [0001] The invention belongs to the technical field of fish population models, and in particular relates to a dynamic DEB-IBM model and a modeling method based on the Otaki hexaline fish population dynamics. Background technique [0002] As the population increases, overfishing leads to a decrease in the amount of fishery resources. With the rapid development of the aquaculture industry, people gradually began to pay attention to the impact of fish breeding and releasing on the environment. Because marine fish are not easy to directly study experimentally, models of fish-environment interactions are widely used. However, although the end-to-end fish population model combines the environmental chemistry model with the fish growth model, it has limitations in studying the life history, spatial behavior, and energetics of fish populations. [0003] There are end-to-end fish population models in the prior art, but the disadvantages of end-to-end fish population...

AI Technical Summary

Problems solved by technology

Whether each individual organism is different cannot be verified in the traditional IBMs model

[0008]3. Not friendly to researchers who are not proficient in code

[0009]The end-to-end model uses C language or R language as the operating platform, which has a certain learning cost

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