Fan‐Zhou Kong

ORCID: 0000-0002-7742-3971
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About
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Research Areas
  • Marine and coastal ecosystems
  • Microbial Community Ecology and Physiology
  • Marine Toxins and Detection Methods
  • Marine and coastal plant biology
  • Protist diversity and phylogeny
  • Marine Biology and Ecology Research
  • Coastal and Marine Management
  • Coastal wetland ecosystem dynamics
  • Metabolomics and Mass Spectrometry Studies
  • Marine and fisheries research
  • Neuroscience of respiration and sleep
  • Isotope Analysis in Ecology
  • Marine Bivalve and Aquaculture Studies
  • Oil Spill Detection and Mitigation
  • Nicotinic Acetylcholine Receptors Study
  • Molecular Sensors and Ion Detection
  • Health, Environment, Cognitive Aging
  • Diverse Scientific Research in Ukraine
  • Tropical and Extratropical Cyclones Research
  • Studies on Chitinases and Chitosanases
  • Entomopathogenic Microorganisms in Pest Control
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Wastewater Treatment and Nitrogen Removal
  • Geology and Paleoclimatology Research
  • Microbial Natural Products and Biosynthesis

Institute of Oceanology
2015-2024

University of Chinese Academy of Sciences
2012-2024

University of California, Davis
2023-2024

Qingdao National Laboratory for Marine Science and Technology
2016-2024

Chinese Academy of Sciences
2015-2024

Research Center for Eco-Environmental Sciences
2003

This article developed a scalable deep-learning model, the AlgaeNet for floating Ulva prolifera ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">U. prolifera</i> ) detection in moderate resolution imaging spectroradiometer (MODIS) and synthetic aperture radar (SAR) images. We labeled 1055/4071 pairs of samples, among which 70%/30% were used training/validation. As result, model reached an accuracy 97.03%/99.83% mean intersection over union...

10.1109/jstars.2022.3162387 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022-01-01

Harmful algal blooms formed by fast-growing, ephemeral macroalgae have expanded worldwide, yet there is limited knowledge of their potential ecological consequences. Here, we select intense green tides Ulva prolifera in the Yellow Sea, China, to examine consequences these blooms. Using 28-isofucosterol surface sediment as a biomarker algae, identified settlement region massive floating algae area southeast Shandong Peninsula southern Sea. The responses phytoplankton assemblage from deep...

10.1021/acs.est.1c06502 article EN Environmental Science & Technology 2022-02-08

Abstract Kuroshio, the strongest west boundary current of Pacific Ocean, has significant impacts on oceanographic conditions and ecological processes Pacific‐Asian marginal seas through exchange water, heat, materials. In two cruises organized in East China Sea (ECS) Yellow spring 2014, observations picosized nanosized phytoplankton assemblages using flow cytometry reflected potential Kuroshio intrusion communities, particularly ECS. The distribution pattern Prochlorococcus ECS clearly...

10.1029/2018jc014681 article EN Journal of Geophysical Research Oceans 2019-02-01

Harmful algal blooms formed by the haptophyte Phaeocystis globosa have been recorded in Beibu Gulf since 2011. In this study, composition and variation of phytoplankton assemblages were studied during an intense bloom P. from 2016 to 2017, using CHEMTAX approach. samples collected Gulf, chlorophyll a (Chl a, 0.046–2.87 μg L−1) fucoxanthin (Fuco, 0.041–13.7 most abundant pigments. Diatoms dominant group phytoplankton, followed cyanobacteria (mainly Synechococcus), haptophytes, cryptophytes,...

10.1016/j.ecolind.2021.108177 article EN cc-by-nc-nd Ecological Indicators 2021-09-06

A massive green tide occurred in the Southern Yellow Sea (SYS) 2021. As previous years, its high biomass caused trouble to coastal environment and landscape Unusually, 2021 was unexpectedly massive. Thus, field surveys remote sensing were conducted SYS from December 2020 July Compared pure satellite observations, it revealed initial development of more clearly. Given effects temperature nutrient changes on biomass, we compared environmental parameters recent years found no significant...

10.3390/ijerph191811753 article EN International Journal of Environmental Research and Public Health 2022-09-17

Compound annotation using spectral-matching algorithms is vital for (MS/MS)-based metabolomics research, but hindered by the lack of high-quality reference MS/MS library spectra. Finding and removing errors from libraries, including noise ions, mostly done manually. This process both error-prone time-consuming. To address these challenges, we have developed an automated curation pipeline, LibGen, to universally build novel spectral libraries. pipeline corrects mass errors, denoises spectra...

10.1021/acs.analchem.3c02263 article EN Analytical Chemistry 2023-11-08

The identification of core genes involved in the biosynthesis saxitoxin (STX) offers a great opportunity to detect toxic algae associated with paralytic shellfish toxins (PST). In Yellow Sea (YS) China, both and nontoxic Alexandrium species are present, which makes it difficult issue specifically monitor PST-producing algae. this study, quantitative PCR (qPCR) assay targeting sxtA4, domain sxt gene cluster that encodes unique enzyme STX biosynthesis, was applied analyze samples collected...

10.1128/aem.00417-15 article EN Applied and Environmental Microbiology 2015-08-01

Some dinoflagellate species within the genera Alexandrium, Gymnodinium and Pyrodinium are well-known producers of paralytic shellfish toxins (PST), which led to many poisoning incidents around world. In northern Yellow Sea, an important mariculture zone for scallop Patinopecten yessoensis, PST have been frequently detected from scallops. However, there is little knowledge concerning PST-producing microalgae in this region so far. cruises carried out 2011 2012, phytoplankton samples were...

10.1080/19440049.2013.838644 article EN Food Additives & Contaminants Part A 2013-09-02
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