Abstract
The objective of this research is to explore the relationships among various multidimensional factor groups and the density of fishery resources of ecosystems in offshore waters and to expand the application of deep machine learning algorithm in this field. Based on XGBoost and random forest algorithms, we first conducted regulatory importance ranking analysis on the time factor, space factor, acoustic technology factor, abiotic factor, and acoustic density of offshore fishery resources in the South China Sea. Based on these analyses, data slicing is carried out for multiple factors and acoustic density, and the relationship between multidimensional factor group and the density of marine living resources in the ecosystem of offshore waters is elaborately compared and analyzed. Importance ranking shows that the concentration of active silicate at 20 m depth, water depth, moon phase perfection, and the number of pulses per unit distance (Ping) are the first-order factors with a cumulative contribution rate of 50%. The comparative analysis shows that there are some complex relationships between the multidimensional factor group and the density of marine biological resources. Within a certain range, one factor strengthens the influence of another factor. When Si20 is in the range of 0–0.1, and the moon-phase perfection is in the range of 0.3–1, both Si20 and moon-phase perfection strengthened the positive influence of water depth on the density of fishery biological resources.
Highlights
Long term monitoring data can be a good judgment of trends in fishery resources
As the sample size was not enough to analyze the data comprehensively, we extended point data to face data by spatial interpolation
The two regulatory deep machine learning algorithms (XGBoost and Random Forest) performed much better than the linear regression model. It is reflected in the differences of both goodness of fit (R2) and mean squared error (MSE) values (Figure 2)
Summary
A trend of degradation is observed in the coastal ecosystem, and the ecological problems such as the low age of fishery organisms, the miniaturization of individuals, and the degradation of the trophic niche are intensified From the perspective of adverse factors, short-lived species have stronger adaptability, and survival opportunities, and their adaptive response to environmental changes is more rapid, while long-lived species have lower adaptability due to longer generations and higher energy demand (Lauchlan and Nagelkerken, 2020). In the Relationship Between Multi-Factors and Fishery Resources short term, in order to adapt to the environmental changes, marine organisms tend to concentrate in time and space, which is more conducive to survival and reproduction (Chen and Chen, 2020; Lauchlan and Nagelkerken, 2020). The community distribution in the coastal ecosystem may show a high correlation with some ecological factors, which may deeply affect the community structure and the distribution density of marine living resources in the ecosystem in a short time
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