Larval fish assemblages in nearshore waters of southeast Gulf of California: vertical and temporal patterns
Amezcua, F.; Rodríguez-Preciado, J.A.; Calderón-Pérez, A.; Rendón-Rodríguez, S.; Green, L.; Chazarreta, C.J. (2020). Larval fish assemblages in nearshore waters of southeast Gulf of California: vertical and temporal patterns. Neotropical Ichthyology 18(1): e190102. https://hdl.handle.net/10.1590/1982-0224-2019-0102 In: Neotropical Ichthyology: Sao Paulo. ISSN 1679-6225, more | |
Keyword | | Author keywords | Estuaries; Ichthyoplankton; Larval fish distribution; Sinaloa; Vertical distribution |
Authors | | Top | - Amezcua, F.
- Rodríguez-Preciado, J.A.
- Calderón-Pérez, A.
| - Rendón-Rodríguez, S.
- Green, L., more
- Chazarreta, C.J.
| |
Abstract | The influence of salinity and temperature on larval fish assemblages, as well as, temporal and vertical patterns on larval fish assemblages off the inlet of the Presidio River, southeast coast of the Gulf of California were evaluated. Samplings for ichthyoplankton and environmental parameter measurements were carried out at three depths, in five sampling sites, during September and December 1994, and April and June 1995. Anchovies and herrings (Clupeiformes) were the most abundant larval fish accounting for 77% of the total abundance. A significant relationship between salinity and the abundance of larval herrings (Opisthonema medirastre and O. dovii) and between the water temperature and the abundance of the weakfish (Cynoscion reticulatus) was found. Anchovies (Anchoa lucida, A. walkeri, and A. nasus) were present in all sampled months, while O. medirastre and O. dovii occurred in December and June, and C. reticulatus in September. Larvae of pelagic fish were more abundant near the surface, while larvae of demersal fish were more abundant near the bottom. The present study, by emphasising the importance of considering temporal and vertical changes in larval fish assemblages in coastal environments with ecological and economic importance, will be useful for designing more efficient sampling programs. |
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