Hidden Fine‐Scale Transport Pathways and Biological Connectivity Revealed by SWOT

Abstract Oceanic currents redistribute nutrients, phytoplankton, and other biogenic materials, fundamentally shaping marine biodiversity and ecosystem functioning. Yet, the topology of fine‐scale material transport remains poorly resolved due to limitations in high‐resolution flow observations. Here, by constructing Lagrangian flow networks from the Surface Water and Ocean Topography (SWOT) observations, we analyze surface fine‐scale transport features in the South China Sea in 2023. Compared with networks derived from conventional altimetry products, SWOT‐derived networks identify more sinks, sources, and transport gateways at 2–10‐day timescales and spatial scales below ∼60 km (90 km) in summer (winter). As such, SWOT resolves hydrodynamic provinces that remain invisible to conventional altimetry, revealing previously undetected corridors and barriers of surface exchange. This advantage also provides better dynamic explanations for complex phytoplankton community structures and evolution. Our results highlight SWOT's transformative capacity to improve the diagnosis and prediction of ocean material transport, opening new avenues for interdisciplinary oceanographic and ecological applications.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-05-22
DOI
https://doi.org/10.1029/2025gl121208
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.00

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article

Hidden Fine‐Scale Transport Pathways and Biological Connectivity Revealed by SWOT

Yunchen Liu, Giulia Vecchioni, Haigang Zhan, Yiqiang Hu et al.
Geophysical Research Letters
Marine and coastal ecosystems
article

Hidden Fine‐Scale Transport Pathways and Biological Connectivity Revealed by SWOT

Yunchen Liu, Giulia Vecchioni, Haigang Zhan, Yiqiang Hu, Q J He, Zhiwei Zhang, Weikang Zhan
article en

Abstract

Abstract Oceanic currents redistribute nutrients, phytoplankton, and other biogenic materials, fundamentally shaping marine biodiversity and ecosystem functioning. Yet, the topology of fine‐scale material transport remains poorly resolved due to limitations in high‐resolution flow observations. Here, by constructing Lagrangian flow networks from the Surface Water and Ocean Topography (SWOT) observations, we analyze surface fine‐scale transport features in the South China Sea in 2023. Compared with networks derived from conventional altimetry products, SWOT‐derived networks identify more sinks, sources, and transport gateways at 2–10‐day timescales and spatial scales below ∼60 km (90 km) in summer (winter). As such, SWOT resolves hydrodynamic provinces that remain invisible to conventional altimetry, revealing previously undetected corridors and barriers of surface exchange. This advantage also provides better dynamic explanations for complex phytoplankton community structures and evolution. Our results highlight SWOT's transformative capacity to improve the diagnosis and prediction of ocean material transport, opening new avenues for interdisciplinary oceanographic and ecological applications.

Geophysical Research LettersVol. 53(10)
Institute of Oceanology (CN), South China Sea Institute Of Oceanology (CN), University of Chinese Academy of Sciences (CN), Ocean University of China (CN), University of Bologna (IT)
National Natural Science Foundation of China, Chinese Academy of Sciences
Life below water
Openalex Percentile: Top 6%
Marine and coastal ecosystems
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