期刊
FISHERIES RESEARCH
卷 248, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.fishres.2021.106196
关键词
Fisheries management; Flatfishes; Spatiotemporal; Species distribution modelling
类别
资金
- project IMPRESS, ERDF, Ministry of Science, Innovation, Spain [RTI2018-099868-BI00]
- Universities State Research Agency
- GAIN (Xunta de Galicia), Spain, GRC MERVEX [IN607-A-2018-4]
This study analyzed the spatiotemporal distribution of adult common sole in the northern Atlantic Iberian waters using a Bayesian approach and different spatiotemporal models. The results indicate that the distribution of this species is persistent and partially influenced by bathymetry. Three main abundance hotspots were identified, and smaller specimens were found in shallower waters while larger specimens inhabited deeper waters.
The common sole (Solea solea) is a species of flatfish of great commercial relevance in the northern Atlantic Iberian waters. Although many studies investigated the early life-stage of this species, little is known on the adult phases and the size structure of the population. Here we provide an analysis of the spatiotemporal distribution of adult's common sole occurrence, conditional-to-presence biomass and median length in northern Atlantic Iberian waters using a Bayesian approach and three different spatiotemporal model structures that characterize the fundamental distributional patterns of fish as either persistent, opportunistic or progressive. Results highlight that the distribution of common sole adults in the area has been persistent over the years and that is partially affect by the bathymetry. Three main abundance hotspots were identified coinciding with spatial closure areas restricted to the fishing activity. Additionally, results show that small specimens tend to aggregate in shallower waters, while larger specimens inhabit deeper waters. Understanding the spatiotemporal distribution of the common sole population could improve our knowledge of this species and help to design more accurate biomass index that could be used to calibrate stock assessment models.
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