Consistent stoichiometric long-term relationships between nutrients and chlorophyll-a across shallow lakes.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
27 Jan 2024
Historique:
received: 31 07 2023
accepted: 15 01 2024
medline: 28 1 2024
pubmed: 28 1 2024
entrez: 27 1 2024
Statut: epublish

Résumé

Aquatic ecosystems are threatened by eutrophication from nutrient pollution. In lakes, eutrophication causes a plethora of deleterious effects, such as harmful algal blooms, fish kills and increased methane emissions. However, lake-specific responses to nutrient changes are highly variable, complicating eutrophication management. These lake-specific responses could result from short-term stochastic drivers overshadowing lake-independent, long-term relationships between phytoplankton and nutrients. Here, we show that strong stoichiometric long-term relationships exist between nutrients and chlorophyll a (Chla) for 5-year simple moving averages (SMA, median R² = 0.87) along a gradient of total nitrogen to total phosphorus (TN:TP) ratios. These stoichiometric relationships are consistent across 159 shallow lakes (defined as average depth < 6 m) from a cross-continental, open-access database. We calculate 5-year SMA residuals to assess short-term variability and find substantial short-term Chla variation which is weakly related to nutrient concentrations (median R² = 0.12). With shallow lakes representing 89% of the world's lakes, the identified stoichiometric long-term relationships can globally improve quantitative nutrient management in both lakes and their catchments through a nutrient-ratio-based strategy.

Identifiants

pubmed: 38280872
doi: 10.1038/s41467-024-45115-3
pii: 10.1038/s41467-024-45115-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

809

Subventions

Organisme : Eesti Teadusagentuur (Estonian Research Council)
ID : PRG1954

Informations de copyright

© 2024. The Author(s).

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Auteurs

Daniel Graeber (D)

Department Aquatic Ecosystem Analysis, Helmholtz-Centre for Environmental Research - UFZ, Magdeburg, Germany. daniel.graeber@ufz.de.

Mark J McCarthy (MJ)

Chair of Hydrobiology & Fisheries, Estonian University of Life Sciences, Tartu, Estonia.

Tom Shatwell (T)

Department Lake Research, Helmholtz-Centre for Environmental Research - UFZ, Magdeburg, Germany.

Dietrich Borchardt (D)

Department Aquatic Ecosystem Analysis, Helmholtz-Centre for Environmental Research - UFZ, Magdeburg, Germany.

Erik Jeppesen (E)

Department of Ecoscience, and WATEC, C.F. Møllers Allé 3, Aarhus University, Aarhus, Denmark.
Sino-Danish Education and Research Centre, Beijing, China.
Limnology Laboratory, Department of Biological Sciences and Centre for Ecosystem Research and Implementation, Middle East Technical University, Ankara, Turkey.
Institute of Marine Sciences, Middle East Technical University, Mersin, Turkey.
Institute for Ecological and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, China.

Martin Søndergaard (M)

Department of Ecoscience, and WATEC, C.F. Møllers Allé 3, Aarhus University, Aarhus, Denmark.
Sino-Danish Education and Research Centre, Beijing, China.

Torben L Lauridsen (TL)

Department of Ecoscience, and WATEC, C.F. Møllers Allé 3, Aarhus University, Aarhus, Denmark.
Sino-Danish Education and Research Centre, Beijing, China.

Thomas A Davidson (TA)

Department of Ecoscience, and WATEC, C.F. Møllers Allé 3, Aarhus University, Aarhus, Denmark.

Classifications MeSH