Anoxia begets anoxia: A positive feedback to the deoxygenation of temperate lakes

Abigail S.L. Lewis, Maximilian P. Lau, Stephen F. Jane, Kevin C. Rose, Yaron Be'eri-Shlevin, Sarah H. Burnet, François Clayer, Heidrun Feuchtmayr, Hans Peter Grossart, Dexter W. Howard, Heather Mariash, Jordi Delgado Martin, Rebecca L. North, Isabella Oleksy, Rachel M. Pilla, Amy P. Smagula, Ruben Sommaruga, Sara E. Steiner, Piet Verburg, Danielle WainGesa A. Weyhenmeyer, Cayelan C. Carey

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Declining oxygen concentrations in the deep waters of lakes worldwide pose a pressing environmental and societal challenge. Existing theory suggests that low deep-water dissolved oxygen (DO) concentrations could trigger a positive feedback through which anoxia (i.e., very low DO) during a given summer begets increasingly severe occurrences of anoxia in following summers. Specifically, anoxic conditions can promote nutrient release from sediments, thereby stimulating phytoplankton growth, and subsequent phytoplankton decomposition can fuel heterotrophic respiration, resulting in increased spatial extent and duration of anoxia. However, while the individual relationships in this feedback are well established, to our knowledge, there has not been a systematic analysis within or across lakes that simultaneously demonstrates all of the mechanisms necessary to produce a positive feedback that reinforces anoxia. Here, we compiled data from 656 widespread temperate lakes and reservoirs to analyze the proposed anoxia begets anoxia feedback. Lakes in the dataset span a broad range of surface area (1–126,909 ha), maximum depth (6–370 m), and morphometry, with a median time-series duration of 30 years at each lake. Using linear mixed models, we found support for each of the positive feedback relationships between anoxia, phosphorus concentrations, chlorophyll a concentrations, and oxygen demand across the 656-lake dataset. Likewise, we found further support for these relationships by analyzing time-series data from individual lakes. Our results indicate that the strength of these feedback relationships may vary with lake-specific characteristics: For example, we found that surface phosphorus concentrations were more positively associated with chlorophyll a in high-phosphorus lakes, and oxygen demand had a stronger influence on the extent of anoxia in deep lakes. Taken together, these results support the existence of a positive feedback that could magnify the effects of climate change and other anthropogenic pressures driving the development of anoxia in lakes around the world.

Original languageEnglish
Article numbere17046
JournalGlobal Change Biology
Volume30
Issue number1
DOIs
StatePublished - Jan 2024

Funding

Many thanks to the Global Lake Ecological Observatory Network (GLEON) Metabolism Working Group for catalyzing this analysis. Specifically, Ted Harris, Paul Hanson, Jim Rusak, Oxana Erina, Jim Watkins, and April James contributed to the development of this manuscript. Thanks to Arpita Das for helping to match the lakes in this study with lake IDs from HydroLAKES and Filazzola et al. (2020), to Young Ho Yun for aiding in statistical analyses, and to the Virginia Tech Reservoir Group for feedback throughout the manuscript development process. We are grateful to Gertrud Nürnberg for providing constructive comments that substantially improved this manuscript. This analysis would not have been possible without long-term data collection across many institutions. We thank the many researchers and community members who have collected, analyzed, and compiled the data used in this study. In particular, we would like to acknowledge Catherine Hein and Jacob Dickmann from the Wisconsin Department of Natural Resources who facilitated use of data from many Wisconsin lakes. Data collection and manuscript development for this project have been supported by numerous grants. Abigail S. L. Lewis is supported by the U.S. National Science Foundation (NSF) graduate research fellowship program (DGE-1840995), NSF grant 1753639, the Institute for Critical Technology and Applied Science (ICTAS), and the College of Science Roundtable at Virginia Tech. Cayelan C. Carey receives support from NSF grants 1753639, 1933016, and 1737424. Stephen F. Jane is supported by the Cornell Atkinson Center for Sustainability. Rebecca L. North acknowledges support from the Missouri Department of Natural Resources, which funds the Missouri Statewide Lake Assessment Program (SLAP) coordinated by the University of Missouri (MU) Limnology Laboratory. Hans-Peter Grossart receives support from the Leibniz Institute of Freshwater Biology and Inland Fisheries (IGB) and teams of scientists and technicians who run the Stechlin and Müggelsee long-term monitoring, as well as the German Research Foundation (DFG), which funds Project Pycnotrap (GR1540/37-1). Rachel M. Pilla notes that this research was supported by the U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy, Water Power Technologies Office, and Environmental Sciences Division at Oak Ridge National Laboratory (ORNL). ORNL is managed by UT-Battelle, LLC, for the U.S. DOE under contract DE-AC05-00OR22725. Kevin C. Rose acknowledges support from NSF grants 1754265 and 2048031. Ruben Sommaruga acknowledges support from the LTSER platform Tyrolean Alps (LTER-Austria). Gesa A. Weyhenmeyer received financial support for this study from the Swedish Research Council (VR; Grant No. 2020-03222) and the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS; Grant No. 2020-01091). Piet Verburg acknowledges support from MBIE under grant number C01X2205. Jordi Delgado Martin acknowledges support from the EMALCSA Chair. Isabella Oleksy receives support from the NSF under grant EPS-2019528. Heidrun Feuchtmayr acknowledges support from the Natural Environmental Research Council award number NE/R016429/1 as part of the UK-SCaPE programme delivering National Capability. Many thanks to all of the funding sources that enabled this international lake analysis. Data collection and manuscript development for this project have been supported by numerous grants. Abigail S. L. Lewis is supported by the U.S. National Science Foundation (NSF) graduate research fellowship program (DGE‐1840995), NSF grant 1753639, the Institute for Critical Technology and Applied Science (ICTAS), and the College of Science Roundtable at Virginia Tech. Cayelan C. Carey receives support from NSF grants 1753639, 1933016, and 1737424. Stephen F. Jane is supported by the Cornell Atkinson Center for Sustainability. Rebecca L. North acknowledges support from the Missouri Department of Natural Resources, which funds the Missouri Statewide Lake Assessment Program (SLAP) coordinated by the University of Missouri (MU) Limnology Laboratory. Hans‐Peter Grossart receives support from the Leibniz Institute of Freshwater Biology and Inland Fisheries (IGB) and teams of scientists and technicians who run the Stechlin and Müggelsee long‐term monitoring, as well as the German Research Foundation (DFG), which funds Project Pycnotrap (GR1540/37‐1). Rachel M. Pilla notes that this research was supported by the U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy, Water Power Technologies Office, and Environmental Sciences Division at Oak Ridge National Laboratory (ORNL). ORNL is managed by UT‐Battelle, LLC, for the U.S. DOE under contract DE‐AC05‐00OR22725. Kevin C. Rose acknowledges support from NSF grants 1754265 and 2048031. Ruben Sommaruga acknowledges support from the LTSER platform Tyrolean Alps (LTER‐Austria). Gesa A. Weyhenmeyer received financial support for this study from the Swedish Research Council (VR; Grant No. 2020‐03222) and the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS; Grant No. 2020‐01091). Piet Verburg acknowledges support from MBIE under grant number C01X2205. Jordi Delgado Martin acknowledges support from the EMALCSA Chair. Isabella Oleksy receives support from the NSF under grant EPS‐2019528. Heidrun Feuchtmayr acknowledges support from the Natural Environmental Research Council award number NE/R016429/1 as part of the UK‐SCaPE programme delivering National Capability. Many thanks to all of the funding sources that enabled this international lake analysis.

FundersFunder number
LTER-Austria
Office of Energy Efficiency and Renewable Energy, Water Power Technologies Office
National Science Foundation1753639, DGE‐1840995
U.S. Department of Energy
California Department of Fish and GameGR1540/37‐1
Oak Ridge National Laboratory1754265, DE‐AC05‐00OR22725, 2048031
University of Missouri
Wisconsin Department of Natural Resources
Institute for Critical Technology and Applied Science1933016, 1737424
Carl R. Woese Institute for Genomic Biology
Cornell Atkinson Center for Sustainability, Cornell University
Missouri Department of Natural Resources
Natural Environment Research CouncilNE/R016429/1
Deutsche Forschungsgemeinschaft
Svenska Forskningsrådet Formas2020‐01091
Ministry of Business, Innovation and EmploymentEPS‐2019528, C01X2205
Vetenskapsrådet2020‐03222
Leibniz-Institut für Gewässerökologie und Binnenfischerei

    Keywords

    • air temperature
    • anoxia
    • chlorophyll a
    • dissolved oxygen
    • feedback
    • hypolimnion
    • lake
    • oxygen demand
    • phosphorus
    • residence time

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