摘要

Artificial reefs (ARs) have long been practiced to manage and enhance fisheries resources worldwide. Here, we aimed to identify relevant indicator species for the specific environmental conditions of ARs by comparing fish diversity against control sites (Conts). We used a combination of non-metric multidimensional scaling and indicator value analysis to identify the indicator species of the specific AR environments. More individuals and species of fish were present in ARs compared to Conts. Water temperature over the seasons was the most important environmental factor associated with the trophic group composition of fish. In particular, macrocamivores and benthic invertivores/cleaners closely reflected habitat conditions in a consistent manner. Some dominant fish species were detected at all sites, while the indicator species were more predominant under certain environmental conditions. Altogether, ARs should be monitored at regular intervals to optimize management of their health by detecting the community representativeness via indicator species.

  • 出版日期2017-5-15