Size‐Fractionated Photosynthetic Parameters and Their Controlling Factors in the Cosmonaut Sea, Southern Ocean

Abstract The size structure of phytoplankton is a key determinant of oceanic energy transfer and biogeochemical cycling. Accurate estimation of primary productivity relies on photosynthetic parameters specific to different phytoplankton size classes. However, the broad size distribution of Phaeocystis antarctica poses challenges for pigment‐based diagnostic approaches in resolving size‐fractionated photosynthetic characteristics in the Southern Ocean. To overcome this limitation, we applied direct size‐fractionated filtration to assess photosynthesis‐irradiance (P–E) curves across the Cosmonaut Sea during the austral summer of 2022. Our results revealed that smaller phytoplankton exhibited greater photosynthetic efficiency especially under low‐light and nutrient‐depleted conditions. Primary productivity showed substantial spatial variation with the highest rates observed near the continental shelf. Incorporating phytoplankton size structure alongside environmental parameters markedly improved the estimation accuracy of photosynthetic physiological traits particularly for Nano + Pico phytoplankton. To this end, we developed and validated a size‐fractionated model for photosynthetic parameters using in situ measurements. The model demonstrated high predictive performance with coefficients of determination ( r 2 ) of 0.96 for P B m (RMSD = 0.200 mg C [mg Chl a ] −1 hr −1 ) and 0.97 for α (RMSD = 0.001 mg C [mg Chl a ] −1 hr −1 [μmol quanta m −2 s −1 ] −1 ). The model results underscore the importance of incorporating size‐specific physiological traits into photosynthetic parameter models to enhance the predictive accuracy of primary production in polar marine ecosystems.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Oceans
Published
2025-09-01
DOI
https://doi.org/10.1029/2025jc022911
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Size‐Fractionated Photosynthetic Parameters and Their Controlling Factors in the Cosmonaut Sea, Southern Ocean

Jun Zhao, Changfeng Zhu, Dong Li, Wei Zhang et al.
Journal of Geophysical Research Oceans
Marine and coastal ecosystems
article

Size‐Fractionated Photosynthetic Parameters and Their Controlling Factors in the Cosmonaut Sea, Southern Ocean

Jun Zhao, Changfeng Zhu, Dong Li, Wei Zhang, Li Qi, Shunan Cao, Qiang Hao, Jie Zhu
article en

Abstract

Abstract The size structure of phytoplankton is a key determinant of oceanic energy transfer and biogeochemical cycling. Accurate estimation of primary productivity relies on photosynthetic parameters specific to different phytoplankton size classes. However, the broad size distribution of Phaeocystis antarctica poses challenges for pigment‐based diagnostic approaches in resolving size‐fractionated photosynthetic characteristics in the Southern Ocean. To overcome this limitation, we applied direct size‐fractionated filtration to assess photosynthesis‐irradiance (P–E) curves across the Cosmonaut Sea during the austral summer of 2022. Our results revealed that smaller phytoplankton exhibited greater photosynthetic efficiency especially under low‐light and nutrient‐depleted conditions. Primary productivity showed substantial spatial variation with the highest rates observed near the continental shelf. Incorporating phytoplankton size structure alongside environmental parameters markedly improved the estimation accuracy of photosynthetic physiological traits particularly for Nano + Pico phytoplankton. To this end, we developed and validated a size‐fractionated model for photosynthetic parameters using in situ measurements. The model demonstrated high predictive performance with coefficients of determination ( r 2 ) of 0.96 for P B m (RMSD = 0.200 mg C [mg Chl a ] −1 hr −1 ) and 0.97 for α (RMSD = 0.001 mg C [mg Chl a ] −1 hr −1 [μmol quanta m −2 s −1 ] −1 ). The model results underscore the importance of incorporating size‐specific physiological traits into photosynthetic parameter models to enhance the predictive accuracy of primary production in polar marine ecosystems.

Journal of Geophysical Research OceansVol. 130(9)
Polar Research Institute of China (CN), Yantai University (CN), Ministry of Natural Resources (CN), Zhejiang Ocean University (CN), Second Institute of Oceanography (CN), Zhejiang University (CN)
Openalex Percentile: Top 76%
Marine and coastal ecosystems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.