A5074023856- Marine and coastal ecosystems
- Marine Biology and Ecology Research
- Environmental Monitoring and Data Management
- Water Quality Monitoring and Analysis
- Water Quality Monitoring Technologies
- Photoreceptor and optogenetics research
- Atmospheric aerosols and clouds
- Microbial Community Ecology and Physiology
- Photoacoustic and Ultrasonic Imaging
- Biosensors and Analytical Detection
- Marine and fisheries research
- Aquatic Invertebrate Ecology and Behavior
- Marine and environmental studies
- Land Use and Ecosystem Services
- Cephalopods and Marine Biology
- Scientific Computing and Data Management
East China Normal University
2022-2024
State Key Laboratory of Estuarine and Coastal Research
2023-2024
Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche
2024
National Research Council
2024
Shanghai Estuarine & Coastal Science Research Center
2023
Abstract Phytoplankton group composition is complex and highly variable in coastal waters. Given that different taxonomic groups have pigment signatures, which turn impact the light absorption spectra of phytoplankton, spectral‐based approach has potential for distinguishing phytoplankton groups. Using a large dataset situ surface observations concurrent HPLC (high‐performance liquid chromatography) pigments collected from 2015 to 2018 Chinese oceans, was obtained chemotaxonomic analysis...
Abstract Marine heatwaves (MHWs) represent anomalously warm temperature conditions of seawater that may affect marine life and ocean biogeochemistry. Under such conditions, phytoplankton communities modify their structure functions, resilience is not assured. This study characterizes the impact MHWs on spring bloom in North‐Western Mediterranean Sea. Here, we synergistically combine autonomous observations from BioGeoChemical‐Argo floats, satellite‐based ecosystem model data, show MHW events...
Abstract. Long time series of spatiotemporally continuous phytoplankton functional type (PFT) products are essential for understanding marine ecosystems, global biogeochemical cycles, and effective management. In this study, by integrating artificial intelligence (AI) technology with multi-source big data, we have developed a Spatial–Temporal–Ecological Ensemble model based on Deep Learning (STEE-DL), then generated the first AI-driven Global Daily gap-free 4 km PFTs product from 1998 to...
The community structure and ecological function of marine ecosystems are critically dependent on phytoplankton. However, our understanding phytoplankton is limited due to the lack detailed information their morphology. To address this gap, we developed a framework that combines scanning electron microscopy (SEM) with photogrammetry create realistic 3D (three-dimensional) models workflow demonstrated using two algal species, one dinoflagellate Prorocentrum micans diatom Halamphora sp....
Abstract Particulate matter concentration is an essential ocean variable (EOV) useful for understanding biogeochemical processes, improving productivity estimates, and constraining coupled physical numerical models. While direct observations of this parameter are difficult to obtain, the optical backscattering coefficient marine particles ( b bp ) can be used as a reliable proxy. However, most in situ multispectral measurements ship-borne or obtained from moored systems, thus with limited...
In estuarine-coastal-shelf seas, particulate organic carbon (POC) shows the highest turnover rates of any pool on planet, playing a key role in biological pump. Compared with open ocean, estuarine and coastal waters are affected by large river inputs show high hydrodynamic variability, which results mixture diverse particles that includes inorganic mineral particles, living algal detritus. The highly complex variable particle compositions pose significant challenges assessing their distinct...