Estimating Ecosystem Metabolism to Entire River Networks

Rodríguez-Castillo, Tamara; Estévez, Edurne; González-Ferreras, Alexia María; Barquín, José

doi:10.1007/s10021-018-0311-8

Cited by 29 publications

(30 citation statements)

References 59 publications

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“…, Dodds , Rodriguez‐Castillo et al. ), it is consistent with other studies (Velasco et al. , Izagirre et al.…”

Section: Discussionsupporting

confidence: 93%

“…This approach is consistent with Rodriguez‐Castillo et al. (), in which GPP was similarly quantified at the network scale by collecting DO data at each site for three days. Consequently, metabolism was estimated at sites over slightly different time intervals.…”

Section: Methodsmentioning

confidence: 99%

“…), and stream metabolism (Rodriguez‐Castillo et al. ). The processes of primary production and ecosystem respiration (collectively referred to as stream metabolism) are integral in determining community structure of aquatic biota and ecosystem function through controls on nutrient dynamics, biogeochemical cycling, and energy flow to consumers (Bernhardt et al.…”

Section: Introductionmentioning

confidence: 99%

“…), but their use in application to integrated ecosystem processes such as GPP or ER has been limited (but see Rodriguez‐Castillo et al. ). In addition to assessing potential factors influencing GPP and ER, the use of SSN models allows for prediction of GPP and ER at unsampled locations, thereby increasing spatial resolution across stream networks.…”

Section: Introductionmentioning

confidence: 99%

“…We then evaluated relationships among explanatory variables (i.e., nutrients, light, and temperature) and response variables (i.e., periphyton biomass, GPP, and ER) using SSN models and further determined how the spatial patterns of explanatory variables and how the underlying network structure of the response variables (spatial autocorrelation) could account for these processes across the watershed (Rodriguez‐Castillo et al. ). We expected light, nutrients, and temperature to all be important factors accounting for periphyton standing stocks and GPP estimates, and we expected temperature and nutrients to be important factors predicting ER (Acuna et al.…”

Section: Introductionmentioning

confidence: 99%

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Relating spatial patterns of stream metabolism to distributions of juveniles salmonids at the river network scale

et al. 2019

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Understanding the factors that drive spatial patterns in stream ecosystem processes and the distribution of aquatic biota is important to effective management of these systems and the conservation of biota at the network scale. In this study, we conducted field surveys throughout an extensive river network in NE Oregon that supports diminishing populations of wild salmonids. We collected data on physical habitat, nutrient concentrations, biofilm standing stocks, stream metabolism (gross primary production [GPP] and ecosystem respiration [ER]), and ESA-listed juvenile salmonid density from approximately 50 sites across two sub-basins. Our goals were to (1) to evaluate network patterns in these metrics, and (2) determine network-scale linkages among these metrics, thus providing inference of processes driving observed patterns. Ambient nitrate-N and phosphate-P concentrations were low across both sub-basins (<40 lg/L). Nitrate-N decreased with watershed area in both sub-basins, but phosphate-P only decreased in one sub-basin. These spatial patterns suggest co-limitation in one sub-basin but N limitation in the other; experimental results using nutrient diffusing substrates across both sub-basins supported these predictions. Solar exposure, temperature, GPP, ER, and GPP:ER increased with watershed area, but biofilm Chl a and ash-free dry mass (AFDM) did not. Spatial statistical network (SSN) models explained between 70% and 75% of the total variation in biofilm Chl a, AFDM, and GPP, but only 21% of the variation in ER. Temperature and nutrient concentrations were the most supported predictors of Chl a and AFDM standing stocks, but these variables explained little of the total variation compared to spatial autocorrelation. In contrast, solar exposure and temperature were the most supported variables explaining GPP, and these variables explained far more variation than autocorrelation. Solar exposure, temperature, and nutrient concentrations explained almost none of the variation in ER. Juvenile salmonids-a key management focus in these sub-basins-were most abundant in cool stream sections where rates of GPP were low, suggesting temperature constraints on these species restrict their distribution to oligotrophic areas where energy production at the base of the food web may be limited.

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“…, Dodds , Rodriguez‐Castillo et al. ), it is consistent with other studies (Velasco et al. , Izagirre et al.…”

Section: Discussionsupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Relating spatial patterns of stream metabolism to distributions of juveniles salmonids at the river network scale

et al. 2019

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Emergent productivity regimes of river networks

Koenig

Helton

Savoy

et al. 2019

Limnol Oceanogr Letters

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The production of organic carbon by aquatic photosynthesis is a central ecosystem property that influences food webs and nutrient cycling rates. Although it is well known that several factors are related to variation in gross primary production in rivers, it is not known how these factors combine to determine primary productivity at the scale of river networks. Our simulation of river networks at a range of productivity regimes provides an initial approximation of river ecosystem productivity at broad scales, and shows that in some cases, small streams and certain time periods disproportionately influence river network productivity. AbstractHigh-resolution data are improving our ability to resolve temporal patterns and controls on river productivity, but we still know little about the emergent patterns of primary production at river-network scales. Here, we estimate daily and annual river-network gross primary production (GPP) by applying characteristic temporal patterns of GPP (i.e., regimes) representing distinct river functional types to simulated river networks. A defined envelope of possible productivity regimes emerges at the network-scale, but the amount and timing of network GPP can vary widely within this range depending on watershed size, productivity in larger rivers, and reachscale variation in light within headwater streams. Larger rivers become more influential on network-scale GPP as watershed size increases, but small streams with relatively low productivity disproportionately influence network GPP due to their large collective surface area. Our initial predictions of network-scale productivity provide mechanistic understanding of the factors that shape aquatic ecosystem function at broad scales.

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Assessment of multiple ecosystem metabolism methods in an estuary

Loken

Nieuwenhuyse

Dahlgren

et al. 2021

Limnology & Ocean Methods

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Ecosystem metabolism is a key ecological attribute and easy to describe, but quantifying metabolism in estuaries is challenging. Properly scaling measurements through time and space requires consideration of hydrodynamics and mixing water from heterogeneous sources, making any estimation uncertain. Here, we compared three methods for modeling ecosystem metabolism in a portion of the Sacramento-San Joaquin Delta. Metabolism estimates based on laboratory incubations, continuous in situ buoys, and an oxygen isotope approach all indicated the system was net heterotrophic, and calculated rates were comparable in magnitude when averaged over the 2-month study. Daily metabolic rates based on in situ buoys were the most variable, likely due to horizontal and vertical advection and poor portrayal of the dissolved oxygen budget. After temporally averaging in situ buoy estimates or smoothing the dissolved oxygen time series for tidal effects, rates were more comparable to the other methods, which may be necessary to account for tidal advection and unbalanced contributions from subhabitats within the metabolic footprint. Incubation-based rates represent the finest temporal and spatial scale and only account for pelagic processes, which may explain why incubation-based rates were lower than the other two methods. The oxygen isotope method provided temporally and spatially integrated rates that were bracketed by the other two methods and may be a valuable tool in systems matching the model requirements. Because uncertainty arises in each method from a number of assumptions and scaling calculations, the resolution of metabolic rates in estuaries is likely coarser and more variable than in other aquatic ecosystems.

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Estimating Ecosystem Metabolism to Entire River Networks

Cited by 29 publications

References 59 publications

Relating spatial patterns of stream metabolism to distributions of juveniles salmonids at the river network scale

Relating spatial patterns of stream metabolism to distributions of juveniles salmonids at the river network scale

Emergent productivity regimes of river networks

Assessment of multiple ecosystem metabolism methods in an estuary

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