Aquatic metabolism in four newly constructed freshwater wetlands with different hydrologic inputs

Cronk, Julie K.; Mitsch, William J.

doi:10.1016/0925-8574(94)00012-3

Cited by 51 publications

(38 citation statements)

References 28 publications

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“…GPP values measured in the wetlands during this study were comparable to GPP measured at the site previously during the spring in 1997 (7.0 kcal-m -2 d -1 ) and 1998 (17.2 kcal-m -2 d -1 ) (Liptak, 2000), and were generally low, but comparable to other freshwater wetlands in the region (11 -21 kcal-m -2 d -1, Cronk and Mitsch, 1994a; 25 kcal-m -2 d -1 , Reeder, 1994). Solar efficiencies during the study period ranged from a mean low of 0.01 ± 0.002% during the pulse in April 2004, to a mean high of 0.45 ± 0.04% measured in June 2005, with an overall average of 0.2%.…”

Section: Dissolved Oxygen In Pulsing and Non-pulsing Hydrologymentioning

confidence: 48%

“…Following the May pulse, GPP was overestimated during steady-flow conditions. Drawdown conditions may have limited productivity at this time (Cronk and Mitsch, 1994a;Mosisch and Bunn, 1997). Comparison of the model output of daily mean DO to actual continuous data is shown in Figure 11.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

“…Positive effects of current on aquatic production generally increase with increased nutrient concentrations. Where river inflow is a significant source of nutrients, higher flow rates can support higher aquatic productivity as demonstrated by Cronk and Mitsch (1994a) in created riparian wetlands. Increased current also acts to ameliorate the negative effects of biomass density in established algal mats by transporting nutrients through the mat and washing away senescent cells (Peterson, 1996;Stevenson, 1996).…”

Section: Introductionmentioning

confidence: 99%

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Aquatic metabolism as an indicator of the ecological effects of hydrologic pulsing in flow-through wetlands

Tuttle

Zhang

Mitsch

2008

Ecological Indicators

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Water column metabolism is a major component in the functioning of wetland ecosystems and can be used as an indicator of ecosystem health. The effect of hydrologic pulsing on water column metabolism was studied with two yearʼs field data and a validated model for two 1-ha created riparian wetlands at the Olentangy River Wetland Research Park at the Ohio State University, in Columbus, OH, USA. Aquatic gross primary productivity (GPP) was measured during hydrologic pulses the first week of April, May and June of 2004 and compared to GPP during steady flow-conditions in April, May and June 2005. Pulses reduced diurnal variation of water temperature, pH and dissolved oxygen (DO), and negatively affected GPP rates. Mean GPP measured during hydrologic flood pulses was 5.13 ± 0.3 kcal m -2 d -1 , which was significantly lower than that measured for comparable months with steady-flow hydrology (11.4 ±0.7 kcal m -2 d -1 ). Solar corrected productivity values of 0.08 ± 0.01% of solar energy during pulses and 0.2 ± 0.02% for steady-flow conditions were also significantly different. Different hyperbolic curves of optimum productivity with water temperature were seen for pulsing and steady-flow conditions. A simulation model with hydrology, metabolism, and DO sub models was was calibrated with 2005 steadyflow year data and validated with 2004 pulse year data. Results from both the field study and model simulations suggest that there was a threshold hydraulic inflow rate between 30 and 50 cm d -1 where aquatic metabolism became negatively affected due to direct and indirect effects of the hydrologic pulse.

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Section: Dissolved Oxygen In Pulsing and Non-pulsing Hydrologymentioning

confidence: 48%

Section: Model Calibration and Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Aquatic metabolism as an indicator of the ecological effects of hydrologic pulsing in flow-through wetlands

Tuttle

Zhang

Mitsch

2008

Ecological Indicators

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“…Estimates for wetlands are particularly scarce, and those that exist have important limitations in terms of the scope and/or resolution of productivity measurements. With these cautions in mind, algae accounted for 38% of NEP in a dystrophic Carolina Bay wetland (Schalles and Shure 1989) and for 17-57% in a newly constructed wetland (Cronk and Mitsch 1994). Similarly, Robinson et al (1997) reported that rates of algal production in experimental wetland cells were equal in magnitude to plant production in the adjacent unmanipulated marsh.…”

Section: Discussionmentioning

confidence: 99%

“…Algae can account for approximately half of aboveground primary production in newly constructed and experimental wetlands (Cronk and Mitsch 1994;Robinson et al 1997) as well as salt marshes (e.g., Pinckney and Zingmark 1993), suggesting that they may also make a substantial contribution to primary production in natural freshwater wetlands. The diverse physical structure of these ecosystems-in large part a result of the presence of macrophytes-means that surface area available for microbial growth may be far greater than total water surface area.…”

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confidence: 99%

Evaluating the influence of macrophytes on algal and bacterial production in multiple habitats of a freshwater wetland

Stanley

Johnson

Ward

2003

Limnology & Oceanography

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Algal14 C uptake and bacterial 3 H leucine incorporation were measured over 20 months to assess the influence of macrophytes on the spatial distribution and magnitude of microbial production and the relative importance of algae versus macrophytes to whole-system energy flow in a southeastern U.S. wetland. Algal and bacterial production were determined for water column and plant-, sediment-, and wood-surface microhabitats in four zones defined by aquatic vascular plant composition: no macrophyte, floating leaved (Nymphaea odorata), heterophyllous (Proserpinaca palustris), or emergent macrophyte (Juncus effusus) zones. We combined production data with detailed habitat measurements to estimate production at meter-squared and whole-wetland scales and compared microbial C fixation to concurrently determined rates of macrophyte production. Production on plant surfaces was significantly lower than on wood and benthic sediments in all zones. At a meter-squared scale, 79% of algal production and 74% of bacterial production occurred on sediments, with epiphytes contributing Ͻ6% to both algal and bacterial rates. With the exception of phytoplankton in the Nymphaea zone and bacteria on Juncus zone sediments, production in the water column or on plant or sediment surfaces did not significantly differ among macrophyte zones. Thus, plant type did not affect the spatial distribution of microbial activity except in the Juncus marsh, where the limited area and volume of water per square meter reduced production at larger spatial scales. However, the magnitude of bacterial production was influenced by macrophytes, as bacterial carbon demand greatly exceeded the amount supplied by algal production. At the whole-ecosystem scale, macrophytes overwhelmed algal production, which accounted for only 4-10% of total wetland C fixation.Although significant progress has been made in understanding rates and determinants of algal and bacterial production and the contribution of these assemblages to energy flow in pelagic systems over the past two decades, microbial dynamics in other settings have received far less attention (Vadeboncoeur et al. 2002). This lack of information is particularly acute for wetlands (Goldsborough and Robinson 1996;Kirschner and Velimirov 1999), where studies of energy flow have focused on aquatic macrophytes rather than algae and where, conversely, bacterial populations are often viewed in terms of biogeochemical processes rather than productivity (but see Findlay et al. 1998). Consequently, 1 Corresponding author (ehstanley@wisc.edu). AcknowledgmentsWe are indebted to S. M. Evces for her tireless contributions to all aspects of this study. R. G. Wetzel generously provided supplies, equipment, and a wide range of other support and advice throughout this project, and G. M. Ward provided meteorological and hydrologic data. Thanks to L. S. W. Lindblom for access to her data. Pond surface area and volume estimates and wetland maps were made by Joe Partlow at the Department of Biological Sciences GIS Laboratory....

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A synthesis of floodplain aquatic ecosystem metabolism and carbon flux using causal criteria analysis

McInerney

Giling

Wolfenden

et al. 2022

Limnology & Oceanography

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The transformation of solar energy into organic matter by autotrophs (gross primary production [GPP]) and the use of that energy by autotrophs and heterotrophs (ecosystem respiration [ER]) describe the total energy available to support food webs. Rates of GPP and ER vary with temperature, light, hydrology, nutrients, and organic matter supply and quality yet despite their obvious importance, spatiotemporal variation of metabolic patterns among floodplain habitats, and their relationship to inundation dynamics remain unclear. We set out to review the peerreviewed literature surrounding the influence of the magnitude, frequency, and duration of floodplain inundation on aquatic ecosystem metabolism and carbon flux by rigorously testing a suite of cause-effect hypotheses using a causal criteria analysis. Causal criteria analysis is a literature synthesis approach developed to address a lack of experimental data and subsequent weak inference of causal relationships. We found support for 3 of the 14 hypotheses we tested relating to putative causal relationships: (1) large floods transfer more carbon from floodplains to the river channel than small floods via the increase in inundation area leading to more overall leaching of floodplain litter, (2) in high turbidity floodplain habitats rates of GPP are reduced by restrictions to photic depth, and (3) a positive correlation between nutrients and GPP-generally GPP in floodplain wetlands increases with nutrient levels. We obtained inconsistent evidence for a causal relationship between macrophytes and aquatic GPP, with studies reporting both a negative influence from decreased light caused by macrophyte shading and a positive influence from structural support provided by macrophytes for periphyton growth. For the remaining 10 hypotheses, there was insufficient evidence to support causal relationships, including for any hypotheses relating to frequency or duration of floodplain inundation. Our results emphasize that despite an apparent wealth of metabolic studies in riverine ecosystems, floodplain metabolic dynamics remain poorly studied, likely due to less investment and increased difficulty compared to lotic waters. The review also highlighted aspects of floodplain aquatic ecosystem metabolism for which there are significant knowledge gaps in the literature, in particular metabolic responses to inundation frequency and duration. Our results call attention to the importance of site specificity and temporal changes when predicting putative cause-effect relationships between floodplain inundation and metabolic patterns.

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Aquatic metabolism in four newly constructed freshwater wetlands with different hydrologic inputs

Cited by 51 publications

References 28 publications

Aquatic metabolism as an indicator of the ecological effects of hydrologic pulsing in flow-through wetlands

Aquatic metabolism as an indicator of the ecological effects of hydrologic pulsing in flow-through wetlands

Evaluating the influence of macrophytes on algal and bacterial production in multiple habitats of a freshwater wetland

A synthesis of floodplain aquatic ecosystem metabolism and carbon flux using causal criteria analysis

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