Publications by authors named "Yaojia Zhu"

Article Synopsis
  • Coastal bays are important hubs for dissolved organic matter (DOM) cycling, and this study investigates how mariculture activities, specifically fish, seaweed, and abalone farming, affect DOM in Sansha Bay, China.
  • Through seasonal sampling and lab experiments, researchers identified three types of fluorescent dissolved organic matter (FDOM), with seaweed culture significantly influencing the DOM pool by producing high amounts of protein-like C1.
  • The study concludes that while fish and abalone farming impact DOM differently, seaweed culture plays a key role in the seasonal generation of DOM and the potential for carbon sequestration, which is crucial for understanding the carbon dynamics of mariculture.
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Various marine aquaculture systems have different impacts on the environment, but few assessments were focused on the environmental impact by different systems in the same region. To study the effects of various aquaculture systems on phytoplankton community structure and water properties, 5 surveys were carried out in seaweed (Gracilaria lemaneiformis, GL), shellfish (Mytilus coruscus, MC) and cage fish (Larimichthys crocea, LC) mariculture areas in Dongji island, Zhejiang, China from June to September 2020. Significant differences were observed in some environmental parameters and phytoplankton communities among three aquaculture systems.

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This study compared the ability of Sargassum fusiforme to accumulate As, Cd, Cr, Cu, Ni, Pb and Zn in its five tissues (main branch, lateral branch, leaf, receptacles and pneumathode). The concentrations of these trace elements in seawater, surface sediments and different tissues of S. fusiforme were analyzed in different areas in Dongtong County (Wenzhou City, China).

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The proliferation of models for networks raises challenging problems of model selection: the data are sparse and globally dependent, and models are typically high-dimensional and have large numbers of latent variables. Together, these issues mean that the usual model-selection criteria do not work properly for networks. We illustrate these challenges, and show one way to resolve them, by considering the key network-analysis problem of dividing a graph into communities or blocks of nodes with homogeneous patterns of links to the rest of the network.

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