

FOLLOWUS
1.State Environmental Protection Key Laboratory of Aquatic Ecosystem Health in the Middle and Lower Reaches of Yangtze River, Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, China
2.Taihu Laboratory for Lake Ecosystem Research, Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135, China
wzou@niglas.ac.cn
收稿:2025-03-07,
网络首发:2026-01-19,
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Shuzhan MA, Zihao SONG, Guangwei ZHU, 等. From light to nutrient limitation: attributing cyanobacterial bloom transitions in Taihu Lake (2007–2023) through a limiting factor perspective[J/OL]. 海洋湖沼学报(英文), 2026,1-13.
MA Shuzhan,SONG Zihao,ZHU Guangwei,et al.From light to nutrient limitation: attributing cyanobacterial bloom transitions in Taihu Lake (2007–2023) through a limiting factor perspective[J].Journal of Oceanology and Limnology,
Shuzhan MA, Zihao SONG, Guangwei ZHU, 等. From light to nutrient limitation: attributing cyanobacterial bloom transitions in Taihu Lake (2007–2023) through a limiting factor perspective[J/OL]. 海洋湖沼学报(英文), 2026,1-13. DOI: 10.1007/s00343-025-5070-8.
MA Shuzhan,SONG Zihao,ZHU Guangwei,et al.From light to nutrient limitation: attributing cyanobacterial bloom transitions in Taihu Lake (2007–2023) through a limiting factor perspective[J].Journal of Oceanology and Limnology, DOI:.
Understanding the drivers of long-term changes in phytopla
nkton limiting factors is crucial for effective eutrophication management in lakes. This study focuses on Taihu Lake—a large
shallow lake—over the period 2007–2023
during which substantial climate variability and watershed management occurred. This study aims to characterize the temporal evolution of the limiting factors that constrain the final yield of phytoplankton in the lake
and to identify the key drivers of these shifts
with particular focus on summer periods when environmental conditions are most favorable for achieving maximum algal biomass. We revised the trophic state index (TSIr) to suit the Taihu Lake case and analyzed the long-term total nitrogen (TN)
total phosphorus (TP)
Secchi depth (SD)
and chlorophyll-
a
(Chl-
a
) data to track changes in algal biomass constraints. Results reveal a transition from a predominantly light-limited algal biomass in the early years to the increased nutrient limitation
particularly N and N
&
P-co-limitation. This shift was evident in the evolving differences among TSIr sub-indices—TSIr(Chl
a
)
TSIr(SD)
TSIr(TN)
and TSIr(TP). The observed transition was found primarily driven by sustained reductions in nutrient concentrations
especially TN
coupled with an improved light environment
as decreased wind speed reduced non-algal turbidity. The emergence of nutrient limitation re-established partially a positive coupling between Chl
a
and TN/TP in some areas of the lake
which differed from the decoupled patterns observed under light-limited conditions before 2020. Following this regime shift
continued TN and TP reductions post-2021 coincided with marked declines in Chl-
a
levels and bloom extent. Despite these improvements
Taihu Lake remains in a transitional phase
and light limitation remain to be dominant in most parts of the lake. Our ecosystem-scale study demonstrated that dual N
&
P reduction is effective for treating shallow lakes. Furthermore
based on our results an
d by integrating reported thresholds from previous studies
we recommend TN concentrations of 0.69–0.80 mg/L and TP concentrations below 50 μg/L as preliminary control targets for shallow eutrophic lakes. These findings offer critical insights for algal bloom prevention and control in Taihu Lake and similar system.
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