Junce Liang , Yuan Liu , Kaizhi Li , Yehui Tan , Jiaxing Liu , Pengli Xiong , Yu Zhong
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引用次数: 0
Abstract
Holoplanktonic molluscs are a group of overlooked but ecologically important zooplankton in marine ecosystems that play a crucial role in the marine food web and carbon cycle. However, changes in the marine environment can lead to an increase in the abundance of pelagic molluscs, causing ecological disasters. To understand the environmental factors that structure holoplanktonic mollusc assemblages, their diversity and abundance were analyzed in the northwestern South China Sea (NWSCS). A total of 39 holoplanktonic molluscs were identified, including 24 pteropod and 15 heteropod species. Significant seasonal and regional differences were observed in species diversity and abundance. Species richness was higher in offshore waters than in nearshore waters during summer and winter, whereas species abundance was significantly higher in summer than in winter. High species abundance was mainly concentrated in waters influenced by cyclonic eddies and coastal upwelling during summer. Temperature, salinity and chlorophyll a are important factors for structuring holoplanktonic mollusc assemblages. Creseis acicula was an effective indicator species in nearshore waters in both seasons, whereas Limacina bulimoides and Heliconoides inflatus were the best indicators in offshore waters in summer and winter, respectively. These findings can form a baseline for understanding the distribution of holoplanktonic molluscs in the marginal sea of the northwestern Pacific Ocean and provide a solid foundation for monitoring zooplankton in a changing ocean and for sustainable ecosystem management.
期刊介绍:
The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.
The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.