@article{Salk-2021-Warming,
title = "Warming combined with experimental eutrophication intensifies lake phytoplankton blooms",
author = "Salk, Kateri R. and
Venkiteswaran, Jason J. and
Couture, Raoul‐Marie and
Higgins, Scott N. and
Paterson, Michael J. and
Schiff, Sherry L. and
Salk, Kateri R. and
Venkiteswaran, Jason J. and
Couture, Raoul‐Marie and
Higgins, Scott N. and
Paterson, Michael J. and
Schiff, Sherry L.",
journal = "Limnology and Oceanography, Volume 67, Issue 1",
volume = "67",
number = "1",
year = "2021",
publisher = "Wiley",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G21-50001",
doi = "10.1002/lno.11982",
pages = "147--158",
abstract = "Phytoplankton blooms are a global water quality issue, and successful management depends on understanding their responses to multiple and interacting drivers, including nutrient loading and climate change. Here, we examine a long-term dataset from Lake 227, a site subject to a fertilization experiment (1969{--}present) with changing nitrogen:phosphorus (N:P) ratios. We applied a process-oriented model, MyLake, and updated the model structure with nutrient uptake kinetics that incorporated shifting N:P and competition among phytoplankton functional groups. We also tested different temperature and P-loading scenarios to examine the interacting effects of climate change and nutrient loading on phytoplankton blooms. The model successfully reproduced lake physics over 48 yr and the timing, overall magnitude, and shifting community structure (diazotrophs vs. non-diazotrophs) of phytoplankton blooms. Intra- and interannual variability was captured more accurately for the P-only fertilization period than for the high N:P and low N:P fertilization periods, highlighting the difficulty of modeling complex blooms even in well-studied systems. A model scenario was also run which removed climate-driven temperature trends, allowing us to disentangle concurrent drivers of blooms. Results showed that increases in water temperature in the spring led to earlier and larger phytoplankton blooms under climate change than under the effects of nutrient fertilization alone. These findings suggest that successful lake management efforts should incorporate the effects of climate change in addition to nutrient reductions, including intensifying and/or expanding monitoring periods and incorporating climate change into uncertainty estimates around future conditions.",
}
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<abstract>Phytoplankton blooms are a global water quality issue, and successful management depends on understanding their responses to multiple and interacting drivers, including nutrient loading and climate change. Here, we examine a long-term dataset from Lake 227, a site subject to a fertilization experiment (1969–present) with changing nitrogen:phosphorus (N:P) ratios. We applied a process-oriented model, MyLake, and updated the model structure with nutrient uptake kinetics that incorporated shifting N:P and competition among phytoplankton functional groups. We also tested different temperature and P-loading scenarios to examine the interacting effects of climate change and nutrient loading on phytoplankton blooms. The model successfully reproduced lake physics over 48 yr and the timing, overall magnitude, and shifting community structure (diazotrophs vs. non-diazotrophs) of phytoplankton blooms. Intra- and interannual variability was captured more accurately for the P-only fertilization period than for the high N:P and low N:P fertilization periods, highlighting the difficulty of modeling complex blooms even in well-studied systems. A model scenario was also run which removed climate-driven temperature trends, allowing us to disentangle concurrent drivers of blooms. Results showed that increases in water temperature in the spring led to earlier and larger phytoplankton blooms under climate change than under the effects of nutrient fertilization alone. These findings suggest that successful lake management efforts should incorporate the effects of climate change in addition to nutrient reductions, including intensifying and/or expanding monitoring periods and incorporating climate change into uncertainty estimates around future conditions.</abstract>
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%0 Journal Article
%T Warming combined with experimental eutrophication intensifies lake phytoplankton blooms
%A Salk, Kateri R.
%A Venkiteswaran, Jason J.
%A Couture, Raoul‐Marie
%A Higgins, Scott N.
%A Paterson, Michael J.
%A Schiff, Sherry L.
%J Limnology and Oceanography, Volume 67, Issue 1
%D 2021
%V 67
%N 1
%I Wiley
%F Salk-2021-Warming
%X Phytoplankton blooms are a global water quality issue, and successful management depends on understanding their responses to multiple and interacting drivers, including nutrient loading and climate change. Here, we examine a long-term dataset from Lake 227, a site subject to a fertilization experiment (1969–present) with changing nitrogen:phosphorus (N:P) ratios. We applied a process-oriented model, MyLake, and updated the model structure with nutrient uptake kinetics that incorporated shifting N:P and competition among phytoplankton functional groups. We also tested different temperature and P-loading scenarios to examine the interacting effects of climate change and nutrient loading on phytoplankton blooms. The model successfully reproduced lake physics over 48 yr and the timing, overall magnitude, and shifting community structure (diazotrophs vs. non-diazotrophs) of phytoplankton blooms. Intra- and interannual variability was captured more accurately for the P-only fertilization period than for the high N:P and low N:P fertilization periods, highlighting the difficulty of modeling complex blooms even in well-studied systems. A model scenario was also run which removed climate-driven temperature trends, allowing us to disentangle concurrent drivers of blooms. Results showed that increases in water temperature in the spring led to earlier and larger phytoplankton blooms under climate change than under the effects of nutrient fertilization alone. These findings suggest that successful lake management efforts should incorporate the effects of climate change in addition to nutrient reductions, including intensifying and/or expanding monitoring periods and incorporating climate change into uncertainty estimates around future conditions.
%R 10.1002/lno.11982
%U https://gwf-uwaterloo.github.io/gwf-publications/G21-50001
%U https://doi.org/10.1002/lno.11982
%P 147-158
Markdown (Informal)
[Warming combined with experimental eutrophication intensifies lake phytoplankton blooms](https://gwf-uwaterloo.github.io/gwf-publications/G21-50001) (Salk et al., GWF 2021)
ACL
- Kateri R. Salk, Jason J. Venkiteswaran, Raoul‐Marie Couture, Scott N. Higgins, Michael J. Paterson, Sherry L. Schiff, Kateri R. Salk, Jason J. Venkiteswaran, Raoul‐Marie Couture, Scott N. Higgins, Michael J. Paterson, and Sherry L. Schiff. 2021. Warming combined with experimental eutrophication intensifies lake phytoplankton blooms. Limnology and Oceanography, Volume 67, Issue 1, 67(1):147–158.
