Midday Depression of Photosynthesis in <i>Spartina alterniflora</i> in a Virginia Salt Marsh

Abstract Salt marshes sequester a disproportionately large amount of carbon dioxide (CO 2 ) from the atmosphere through high rates of photosynthesis and carbon burial. Climate change could potentially alter this carbon sink, particularly the response of vegetation to environmental stressors that can decrease photosynthesis. Midday depression of gross primary production (GPP), characterized by a decline in photosynthesis during midday, has been documented in multiple ecosystems as a response to drought, high temperatures, and other stressors linked to climate change. Yet, midday depression has not been thoroughly investigated in salt marsh ecosystems. Here, we show that the midday depression of GPP in a Spartina alterniflora salt marsh on the Eastern Shore of Virginia was ubiquitous and occurred on 76% of the 283 days studied during the 2019–2022 growing seasons. GPP was estimated from eddy covariance measurements with flux partitioning. Using random forest, we found that the daily maximum tidal height and air temperature were the strongest predictors of midday depression of GPP, with lower high tides and warmer temperatures associated with more severe depression. This result suggests midday depression occurs when GPP decreases in the afternoon in response to salinity and water stress. To our knowledge, this is the first examination of midday depression of photosynthesis in S . alterniflora at the ecosystem scale. Our results highlight the potential of climate change to increase midday depression of photosynthesis and ultimately weaken the salt marsh carbon sink.

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Publication Details

Journal
Journal of Geophysical Research Biogeosciences
Published
2025-08-30
DOI
https://doi.org/10.1029/2024jg008338
Citations
2
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
3.43

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article

Midday Depression of Photosynthesis in Spartina alterniflora in a Virginia Salt Marsh

Xi Yang, H. Mast
2 citations
Journal of Geophysical Research Biogeosciences
Coastal wetland ecosystem dynamics
3.43
article

Midday Depression of Photosynthesis in Spartina alterniflora in a Virginia Salt Marsh

Xi Yang, H. Mast
article en
2 citations

Abstract

Abstract Salt marshes sequester a disproportionately large amount of carbon dioxide (CO 2 ) from the atmosphere through high rates of photosynthesis and carbon burial. Climate change could potentially alter this carbon sink, particularly the response of vegetation to environmental stressors that can decrease photosynthesis. Midday depression of gross primary production (GPP), characterized by a decline in photosynthesis during midday, has been documented in multiple ecosystems as a response to drought, high temperatures, and other stressors linked to climate change. Yet, midday depression has not been thoroughly investigated in salt marsh ecosystems. Here, we show that the midday depression of GPP in a Spartina alterniflora salt marsh on the Eastern Shore of Virginia was ubiquitous and occurred on 76% of the 283 days studied during the 2019–2022 growing seasons. GPP was estimated from eddy covariance measurements with flux partitioning. Using random forest, we found that the daily maximum tidal height and air temperature were the strongest predictors of midday depression of GPP, with lower high tides and warmer temperatures associated with more severe depression. This result suggests midday depression occurs when GPP decreases in the afternoon in response to salinity and water stress. To our knowledge, this is the first examination of midday depression of photosynthesis in S . alterniflora at the ecosystem scale. Our results highlight the potential of climate change to increase midday depression of photosynthesis and ultimately weaken the salt marsh carbon sink.

Journal of Geophysical Research BiogeosciencesVol. 130(9)
University of Virginia (US)
National Science Foundation, National Oceanic and Atmospheric Administration
Openalex Percentile: Top 8%
Coastal wetland ecosystem dynamics
3.43
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