Responses of Functional Traits of Macrobenthic Communities to Human Activities in Daya Bay (A Subtropical Semi-Enclosed Bay), China

Frontiers in Environmental Science

Xinwei Chen¹  Xiping Zhou²  Yiyong Rao³  Honghui Huang³  Lizhe Cai⁴  Sujing Fu⁵ 

[1] College of the Environment and Ecology, Xiamen University, Xiamen, China;Department of Environmental Science and Engineering, Xiamen University Tan Kah Kee College, Zhangzhou, China;Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, China;Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, Xiamen University, Xiamen, China;Laboratory of Marine Biology and Ecology, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China;South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China;

关键词: biological trait analysis;    macrobenthic community;    functional diversity;    human activity;    Daya Bay;   

DOI  :  10.3389/fenvs.2021.766580

来源: DOAJ

【 摘 要 】

The biological trait analysis (BTA) is regarded as a promising approach to unravel how ecosystem functions respond to human-induced disturbances. This study considered the four sampling locations associated with different human activities in Daya Bay, that is, the domestic and industrial sewage discharge area (SED), mariculture area (MRC), nuclear power plants thermal discharge area (NTD), and an area with relatively low human disturbance as a reference (REF). Thirty modalities of nine traits were selected in BTA. Our results showed a clear shift in the functional structure of macrobenthic communities between the sampling locations, except for the case between NTD and REF. The trait composition in the communities did not highlight any seasonal patterns. Bioturbation, longevity, tolerance, body size, feeding habit, and environmental position were the key traits to characterize the functional structure of macrobenthic communities and demonstrated predictable responses along the environmental gradients. Water depth, DO, Chl-a, NH4+, and petroleum contaminants in sediments were the main variables influencing the trait composition. In addition, the taxonomic index (H′) and functional diversity index (Rao’s Q) showed clear differences among the sampling locations. Although there were no significant differences between NTD and REF in terms of the trait composition and functional diversity, a potential function loss in NTD still can be detected through the integrated analysis with taxonomic diversity. We suggest that the traits (except for fragility, larval development, and living habits) selected and the diversity indices (H′ and Rao’s Q) could serve as promising indicators of ecological conditions in Daya Bay.

【 授权许可】

Unknown