Virginie Sonnet

Virginie Sonnet
  • Ph.D. Oceanography
  • Post-doc at Sorbonne University

About

7
Publications
1,724
Reads
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72
Citations
Introduction
My Ph.D. focused on taxonomical, morphological and optical information that can be retrieved from phytoplankton imaging and coincidently measured hyperspectral absorption spectra. I worked with time series and clustering approaches to refine and expand those relationships with in situ data. My current post-doc is focused on exploring zooplankton traits derived from imagery at a global scale, with a particular emphasis on transparency.
Current institution
Sorbonne University
Current position
  • Post-doc
Education
September 2019 - December 2023
University of Rhode Island
Field of study
  • Biological Oceanography
September 2017 - July 2019
Ghent University
Field of study
  • Marine Biological Resources (IMBRSea, Erasmus master)
September 2014 - July 2017
Sorbonne University
Field of study
  • Mathematics

Publications

Publications (7)
Article
Full-text available
Human dimensions research is valuable to managing human‐wildlife interactions, especially in urban environments where such interactions are common. Survey data, which commonly contain Likert scales and questions, are useful in this field; however, these data can be difficult to analyze with formal modeling approaches. We demonstrate one approach, b...
Article
Full-text available
Phytoplankton populations in the natural environment interact with each other. Despite rising global concern with Pseudo-nitzschia blooms, which can produce the potent neurotoxin domoic acid, we still do not fully understand how other phytoplankton genera respond to the presence of Pseudo-nitzschia. Here, we used a 4-year high-resolution imaging da...
Article
Full-text available
Characterizing marine phytoplankton community variability is crucial to designing sampling strategies and interpreting time series. Satellite remote sensing, microscopy sampling, and flow through imaging systems have widely different resolutions: from weekly or monthly with microscopy sampling to daily when no cloud cover or glint is present with p...
Article
Full-text available
Functional traits are increasingly used to assess changes in phytoplankton community structure and to link individual characteristics to ecosystem functioning. However, they are usually inferred from taxonomic identification or manually measured for each organism, both time consuming approaches. Instead, we focus on high throughput imaging to descr...
Article
Full-text available
Plankton imaging systems supported by automated classification and analysis have improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of reliably tracking plankton populations with a suite of lab‐based and in situ tools, collecting imaging data at unprecedentedly fine spatial and temporal scales. But these data have...

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