Microcosm experiment combined with process-based modeling reveals differential response and adaptation of aquatic primary producers to warming and agricultural run-off

Fertilizers, pesticides and global warming are threatening freshwater aquatic ecosystems. Most of these are shallow ponds or slow-flowing streams or ditches dominated by submerged macrophytes, periphyton or phytoplankton. Regime shifts between the dominance of these primary producers can occur along...

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Published inFrontiers in plant science Vol. 14; no. 1120441; p. 1120441
Main Authors López Moreira Mazacotte, Gregorio A, Polst, Bastian H, Gross, Elisabeth M, Schmitt-Jansen, Mechthild, Hölker, Franz, Hilt, Sabine
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers 19.06.2023
Frontiers Media S.A
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Summary:Fertilizers, pesticides and global warming are threatening freshwater aquatic ecosystems. Most of these are shallow ponds or slow-flowing streams or ditches dominated by submerged macrophytes, periphyton or phytoplankton. Regime shifts between the dominance of these primary producers can occur along a gradient of nutrient loading, possibly triggered by specific disturbances influencing their competitive interactions. However, phytoplankton dominance is less desirable due to lower biodiversity and poorer ecosystem function and services. In this study, we combined a microcosm experiment with a process-based model to test three hypotheses: 1) agricultural run-off (ARO), consisting of nitrate and a mixture of organic pesticides and copper, differentially affects primary producers and enhances the risk of regime shifts, 2) warming increases the risk of an ARO-induced regime shift to phytoplankton dominance and 3) custom-tailored process-based models support mechanistic understanding of experimental results through scenario comparison. Experimentally exposing primary producers to a gradient of nitrate and pesticides at 22°C and 26°C supported the first two hypotheses. ARO had direct negative effects on macrophytes, while phytoplankton gained from warming and indirect effects of ARO like a reduction in the competitive pressure exerted by other groups. We used the process-based model to test eight different scenarios. The best qualitative fit between modeled and observed responses was reached only when taking community adaptation and organism acclimation into account. Our results highlight the importance of considering such processes when attempting to predict the effects of multiple stressors on natural ecosystems.
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These authors have contributed equally to this work and share first authorship
Edited by: Jun Xu, Institute of Hydrobiology (CAS), China
Reviewed by: Monica Pinardi, Institute for Electromagnetic Sensing of the Environment, Italy; Ingo Dreyer, University of Talca, Chile
ISSN:1664-462X
1664-462X
DOI:10.3389/fpls.2023.1120441