Ecosystem Metabolism, Disturbance, and Stability in a Prealpine Gravel Bed River

Uehlinger, Urs; Naegeli, Markus W.

doi:10.2307/1467960

Cited by 135 publications

(154 citation statements)

References 33 publications

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“…The percentage canals/ditches in CCYK also was correlated to discharge (rho = 0.86) and point velocity measurements (rho = 0.70), indicating an increase in flow with increased ditching and channel modification, likely because of irrigation return flows. Previous work has suggested that streams with velocity perturbations and unstable sediment were dominated by respiration (Young and Huryn 1996;Uehlinger and Naegeli 1998;Biggs et al 1999), which is consistent with CCYK results. The models indicated that the wetted cross-sectional area in streams in CNBR explained most of the variability in CR-24 values in that area, with increased CR-24 values in streams with a larger cross-sectional wetted area.…”

Section: Channel or Habitat Characteristicssupporting

confidence: 84%

The relative influence of nutrients and habitat on stream metabolism in agricultural streams

Frankforter

Weyers

Bales

et al. 2009

Environ Monit Assess

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Stream metabolism was measured in 33 streams across a gradient of nutrient concentrations in four agricultural areas of the USA to determine the relative influence of nutrient concentrations and habitat on primary production (GPP) and respiration reach. When data for all study areas were combined, there were no statistically significant relations between gross primary production or community respiration and any of the independent variables. However, significant regression models were developed for three study areas for GPP (r 2 = 0.79-0.91) and CR-24 (r 2 = 0.76-0.77). Various forms of nutrients (total phosphorus and area-weighted total nitrogen loading) were significant for predicting GPP in two study areas, with habitat variables important in seven significant models. Important physical variables included light availability, precipitation, basin area, and in-stream habitat cover. Both benthic and seston chlorophyll were not found to be important explanatory variables in any of the models; however, benthic ash-free dry weight was important in two models for GPP.

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Section: Channel or Habitat Characteristicssupporting

confidence: 84%

The relative influence of nutrients and habitat on stream metabolism in agricultural streams

Frankforter

Weyers

Bales

et al. 2009

Environ Monit Assess

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“…Odum (1956) considered the potential effects of groundwater flux on the mass balance of oxygen in streams, and more recent work (Choi et al 1998;Jones and Mulholland 1998) has demonstrated empirically that flux of groundwater can greatly affect gas concentrations in streams, but the effects of flux on estimates of stream metabolism have not been examined explicitly. Although practitioners of the open-channel method (e.g., Marzolf et al 1994;Uehlinger and Naegeli 1998;Fellows et al 2001) often have attempted to confine their work to reaches where rates of groundwater flux are low, the potential for error in open-channel estimates of metabolism has not been studied. The purpose of this paper is to establish the conditions under which flux of groundwater can lead to bias in estimates of metabolism and to describe a method for minimizing such errors.…”

Section: Effects Of Groundwater Flux On Open-channel Estimates Of Strmentioning

confidence: 99%

Effects of groundwater flux on open‐channel estimates of stream metabolism

McCutchan

Saunders

Lewis

et al. 2002

Limnology & Oceanography

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The open‐channel oxygen method can produce precise estimates of photosynthesis (P) and respiration (R) over a wide range of stream conditions. It is widely recognized that flux of groundwater contributes to the oxygen mass balance for a stream. However, groundwater flux is rarely considered in open‐channel estimates of stream metabolism, and no guidelines have been established regarding the conditions under which it can be ignored. The purpose of this paper is to describe a method for predicting the effect of groundwater flux on estimates of metabolism and thereby establish the conditions under which flux of groundwater can lead to large errors in estimates of metabolism. Estimation of P is not significantly affected by flux of groundwater. Ecosystem R, however, can be greatly overestimated where the oxygen concentration of groundwater is substantially lower than the concentration in the channel. Although the effects of groundwater flux on estimates of metabolism often are trivial, rates of flux can be sufficiently high in many streams, at least during some part of the year, to affect estimates of R where the oxygen concentration differs substantially between groundwater and surface water. Thus, the potential contribution of groundwater flux to oxygen mass balance should always be evaluated when the

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“…These consequences of reduced snowpack include spring snowmelt occurring earlier coupled with a reduction in the amount of snowmelt-derived runoff into stream networks (Adam and others 2009). Although snow-and ice-dominated aquatic ecosystems in high latitudes are relevant for global carbon fluxes due to extensive C storage and mobilization (Lapierre and others 2013), little is known about the relevance of alpine streams for carbon fluxes (except see Uehlinger and Naegeli 1998;Uehlinger 2006). Understanding the response of stream metabolism to altered snowmelt hydrology is therefore critical to better predict impacts of global warming on carbon fluxes in alpine ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Climate-Induced Changes in Spring Snowmelt Impact Ecosystem Metabolism and Carbon Fluxes in an Alpine Stream Network

et al. 2017

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Although stream ecosystems are recognized as an important component of the global carbon cycle, the impacts of climate-induced hydrological extremes on carbon fluxes in stream networks remain unclear. Using continuous measurements of ecosystem metabolism, we report on the effects of changes in snowmelt hydrology during the anomalously warm winter 2013/2014 on gross primary production (GPP), ecosystem respiration (ER), and net ecosystem production (NEP) in an Alpine stream network. We estimated ecosystem metabolism across 12 study reaches of the 254 km 2 subalpine Ybbs River Network (YRN), Austria, for 18 months. During spring snowmelt, GPP peaked in 10 of our 12 study reaches, which appeared to be driven by PAR and catchment area. In contrast, the winter precipitation shift from snow to rain following the lowsnow winter in 2013/2014 increased spring ER in upper elevation catchments, causing spring NEP to shift from autotrophy to heterotrophy. Our findings suggest that the YRN transitioned from a transient sink to a source of carbon dioxide (CO 2 ) in spring as snowmelt hydrology differed following the highsnow versus low-snow winter. This shift toward increased heterotrophy during spring snowmelt following a warm winter has potential consequences for annual ecosystem metabolism, as spring GPP contributed on average 33% to annual GPP fluxes compared to spring ER, which averaged 21% of annual ER fluxes. We propose that Alpine headwaters will emit more within-stream respiratory CO 2 to the atmosphere while providing less autochthonous organic energy to downstream ecosystems as the climate gets warmer.

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Ecosystem Metabolism, Disturbance, and Stability in a Prealpine Gravel Bed River

Cited by 135 publications

References 33 publications

The relative influence of nutrients and habitat on stream metabolism in agricultural streams

The relative influence of nutrients and habitat on stream metabolism in agricultural streams

Effects of groundwater flux on open‐channel estimates of stream metabolism

Climate-Induced Changes in Spring Snowmelt Impact Ecosystem Metabolism and Carbon Fluxes in an Alpine Stream Network

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