Abstract
Spatial-seasonal patterns in fish diversity in Haizhou Bay were studied based on stratified random surveys conducted in 2011. Principal component analysis was conducted to distinguish different diversity components, and the relationships among 11 diversity indices were explored. Generalized additive models were constructed to examine the environmental effects on diversity indices. Eleven diversity indices were grouped into four components: (1) species numbers and richness, (2) heterogeneous indices, (3) evenness, and (4) taxonomic relatedness. The results show that diversity indices among different components are complementary. Spatial patterns show that fish diversity was higher in coastal areas, which was affected by complex bottom topography and spatial variations of water mass and currents. Seasonal trends could be best explained by the seasonal migration of dominant fish species. Fish diversity generally declined with increasing depth except for taxonomic distinctness, which increased with latitude. In addition, bottom temperature had a significant effect on diversity index of richness. These results indicate that substrate complexity and environmental gradients had important influences on fish diversity patterns, and these factors should be considered in fishery resource management and conservation. Furthermore, diversity in two functional groups (demersal/pelagic fishes) was influenced by different environmental factors. Therefore, the distribution of individual species or new indicators in diversity should be applied to examine spatio-seasonal variations in fish diversity.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.