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Gloeocystidiellum sinense sp. nov. (Stereaceae, Russulales), a wood‐inhabiting fungus from Yunnan Province, ChinaNARA Subscribed
A new corticioid fungal species Gloeocystidiellum sinense from Yunnan Province, is described and illustrated based on morphological and molecular evidence. This species is characterised by its cream to pink‐buff hymenial surface, a monomitic hyphal system, and ellipsoid basidiospores measuring as 3.7–4.4 × 2.8–3.2 µm. The phylogenetic analyses inferred from ITS + nLSU dataset indicated that the new species G. sinense nested wi...
Microbes in the sea surface microlayer (SML) are key to connecting the ocean and the atmosphere, affecting the exchange of matter, momentum, and heat at the interface. However, their sources have never been quantified systematically. Seawater has long been deemed their major source, whereas atmospheric deposition is regarded as trivial or merely providing additional nutrients. Here, combining atmospheric observations and quant...
In order to solve the problems of low efficiency and insufficient accuracy of the traditional manual template method in the forming detection of shell plates, a digital solution based on laser scanning detection system was proposed. By introducing a six-degree-of-freedom robotic arm and a high-precision line laser sensor to build a three-dimensional detection platform, a digital template method framework including data acquisi...
This study employs reanalysis data published by ECMWF to investigate the impact of ocean waves on cold tongues in the southern hemisphere. Based on the global sea surface temperature (SST) patterns, the scope of the cold tongue is defined in this paper. Compared to Ekman transport, wave transport dominates and plays a critical role in the cold tongue region. This study analyzes the characteristics of cold tongues across the th...
Three-dimensional ocean observation is the foundation for accurately predicting ocean information. Although ocean observation sensor arrays can obtain internal data, their deployment is difficult, costly, and prone to component failures and environmental noise, resulting in discontinuous data. To address the severe missing data problem in three-dimensional ocean flow fields, this paper proposes an unsupervised model: Three-dim...