Abstract:The spatial distribution of species can reflect the interrelationships among individuals, which are the
result of long-term adaptation and selection between species and the environment. This has a significant impact on
the development and resource utilization of species. This study constructed 10 species distribution models based
on the samples collected from the bottom trawl surveys in Haizhou Bay and adjacent waters during springs and
autumns of 2013–2022. We selected models with better performance and prediction accuracy to construct an
ensemble species distribution model (ESDM) based on the true skill statistic and area under the receiver operator
characteristic (ROC) curve. We analyzed the spatial distribution of Chaeturichthys stigmatias and the influencing
factors. The results showed that ESDM could effectively reduce the uncertainty of single-species distribution
models, improve the accuracy of model prediction, and analyze the spatial distribution characteristics of C.stigmatias in Haizhou Bay with higher accuracy. C. stigmatias generally concentrated in the western coastal and
southern waters of Haizhou Bay during the spring seasons of 2013–2022, with lower distribution in the eastern,
central, and northern waters. The longitude and latitude deviation ranges of the distribution center during this
period were approximately 1°. C. stigmatias were mainly distributed in the southwestern area of Haizhou Bay
during autumn, with the distribution center moving slightly. Additionally, we found that water depth, prey density,
sea bottom temperature, and sea bottom salinity were significantly correlated with the spatial distribution of C.stigmatias in Haizhou Bay, of which prey density generated the greatest effect in spring, and water depth generated
the greatest effect in autumn. This study analyzed the spatial distribution characteristics and changes in the
distribution centers of C. stigmatias on a regional scale and explored seasonal differences in important influencing
factors. This study provides basic information for sustainable utilization of C. stigmatias.