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Updated: Oct 29, 2026

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters
Published on: December 16, 2022
Lake depth modulates phytoplankton resource use efficiency during long-term restoration: a seasonal study of 20
Houwen Cai1, Haijun Wang1, Puze Wang1
1Yunnan Key Laboratory of Ecological Protection and Resource Utilization of River-lake Networks, State Key Laboratory of Vegetation Structure, Function and Construction, Yunnan University, Kunming, 650500, PR China.
Abstract:
Phytoplankton resource use efficiency (RUE), reflecting how efficiently nutrients are translated into phytoplankton biomass, may be a useful indicator of phytoplankton responses to a nutrient decline during lake restoration. However, the key drivers and seasonal dynamics of RUE under such conditions remain uncertain. We analyzed temporal patterns (1989-2008) and controlling factors of RUE in 20 Danish lakes in recovery from eutrophication, focusing on dissolved nutrient availability, lake depth, plankton community dynamics, and trophic regulation. We found that the response of RUEChl (resource use efficiency based on Chl a) varied among lakes and was largely determined by early-period (first three monitoring years) mean efficiency during lake restoration. In lakes with low RUEChl, subsequent nutrient decline appeared to promote compensatory increases in efficiency, thereby buffering phytoplankton responses. XGBoost models identified dissolved nutrients (phosphate and dissolved inorganic nitrogen) and lake depth as the key predictors of RUEChl. SHAP analyses revealed nonlinear nutrient associations, with model-derived transition ranges of 0.014‒0.021 mg P L-1 for phosphate and 0.45‒1.14 mg L-1 for dissolved inorganic nitrogen. Lake depth modulated seasonal RUEChl dynamics mainly by shaping nutrient availability and mixing regimes. These patterns were accompanied by seasonal shifts in the relative importance of individual predictors. Several, but not all, phytoplankton groups contributed positively to RUEChl at high relative biomass, and documented community shifts and biomanipulation coincided with abrupt RUEChl changes in specific lakes. By elucidating the seasonal and mechanistic drivers of RUEChl dynamics, this study advances our understanding of nutrient-phytoplankton interactions, with implications for lake-specific restoration strategies.
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