Material Spiraling in Stream Corridors: A Telescoping Ecosystem Model

Fisher, Stuart G.; Grimm, Nancy B.; Martı́, Eugènia; Holmes, Robert M.; Jones, Jeremy B.

doi:10.1007/s100219900003

Cited by 277 publications

(213 citation statements)

References 70 publications

Supporting

Mentioning

204

Contrasting

Unclassified

Order By: Relevance

“…In general, the importance of directional flow and horizontal connections has led to an emphasis on spatial complexity rather than temporal complexity in river ecology (e.g. Fisher et al 1998;Ward 1998;Lewis et al 2000;Naiman et al 2000a). However, temporal variation in stream flow has also been identified as an essential driver of river biodiversity, production and sustainability (Poff et al 1997;Ward 1998).…”

Section: Discussionmentioning

confidence: 99%

Multiple states in river and lake ecosystems

Dent

Cumming

Carpenter

2002

Phil. Trans. R. Soc. Lond. B

135

115

View full text Add to dashboard Cite

Nonlinear models of ecosystem dynamics that incorporate positive feedbacks and multiple, internally reinforced states have considerable explanatory power. However, linear models may be adequate, particularly if ecosystem behaviour is primarily controlled by external processes. In lake ecosystems, internal (mainly biotic) processes are thought to have major impacts on system behaviour, whereas in rivers, external (mainly physical) factors have traditionally been emphasized. We consider the hypothesis that models that exhibit multiple states are useful for understanding the behaviour of lake ecosystems, but not as useful for understanding stream ecosystems. Some of the best-known examples of multiple states come from lake ecosystems. We review some of these examples, and we also describe examples of multiple states in rivers. We conclude that the hypothesis is an oversimplification; the importance of physical forcing in rivers does not eliminate the possibility of internal feedbacks that create multiple states, although in rivers these feedbacks are likely to include physical as well as biotic processes. Nonlinear behaviour in aquatic ecosystems may be more common than current theory indicates.

show abstract

Section: Discussionmentioning

confidence: 99%

Multiple states in river and lake ecosystems

Dent

Cumming

Carpenter

2002

Phil. Trans. R. Soc. Lond. B

135

115

View full text Add to dashboard Cite

show abstract

“…In the stream ecosystem literature, is referred to as a "processing length". 38 The fraction f Q is the portion of stream discharge (Q = UHW) that flows through a single bed form (u m λW/π); the quantity f Q /λ is therefore the fraction of stream discharge processed by the hyporheic zone per unit length of stream. The variable f R represents the fraction of contaminant removed by first-order reaction as water flows through the hyporheic zone; its value can be calculated for any choice of the Damkohler Number (compare eqs 16d and 10a).…”

Section: ■ Introductionmentioning

confidence: 99%

First-Order Contaminant Removal in the Hyporheic Zone of Streams: Physical Insights from a Simple Analytical Model

Grant

Stolzenbach

Azizian

et al. 2014

Environ. Sci. Technol.

View full text Add to dashboard Cite

A simple analytical model is presented for the removal of stream-borne contaminants by hyporheic exchange across duned or rippled streambeds. The model assumes a steady-state balance between contaminant supply from the stream and first-order reaction in the sediment. Hyporheic exchange occurs by bed form pumping, in which water and contaminants flow into bed forms in highpressure regions (downwelling zones) and out of bed forms in low-pressure regions (upwelling zones). Model-predicted contaminant concentrations are higher in downwelling zones than upwelling zones, reflecting the strong coupling that exists between transport and reaction in these systems. When flow-averaged, the concentration difference across upwelling and downwelling zones drives a net contaminant flux into the sediment bed proportional to the average downwelling velocity. The downwelling velocity is functionally equivalent to a mass transfer coefficient, and can be estimated from stream state variables including stream velocity, bed form geometry, and the hydraulic conductivity and porosity of the sediment. Increasing the mass transfer coefficient increases the fraction of streamwater cycling through the hyporheic zone (per unit length of stream) but also decreases the time contaminants undergo first-order reaction in the sediment. As a consequence, small changes in stream state variables can significantly alter the performance of hyporheic zone treatment systems.

show abstract

“…At the reach scale, streambed permeability favors water exchanges between surface and hyporheic porous media, causing a physical delay in nutrient transport. This physical delay, coupled with biological activity within the sediment, suggests that the stream surface-subsurface hydrological linkage may be an important factor in enhancing stream nutrient retention, at least in non-polluted streams (Valett et al, 1997;Fisher et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Effects of wastewater treatment plant pollution on in-stream ecosystems functions in an agricultural watershed

Sánchez‐Pérez

Gérino²,

Sauvage³

et al. 2009

Ann. Limnol. - Int. J. Lim.

View full text Add to dashboard Cite

-We studied the effect of point-source and non-point-source pollution on the retention capacity of the stream and its link with the metabolic state (primary production and respiration) and invertebrates assemblages in a third order Mediterranean stream. Two experimental sites were chosen: one in the upper part of the catchment (Monte´gut site) characterized by low concentrations in nitrate and phosphate and one in the lower part of the catchment (Le´zat site) characterized by high nitrate and phosphorus concentrations. Both experimental sites were located on reaches that included a Waste Water Treatment Plant (WWTP) point nutrient source allowing discussion of the relative effects of point-source and non-point-source nutrients loads on ecosystem function (respiration and uptake rates) and aquatic organism assemblages. NH 4 + -N, and PO 4 3x -P uptake rates were determined using solute additions conducted at constant rates (short-term nutrient addition procedure) and NO 3x -N uptake rates were determined using instantaneous solute addition (slug addition procedure). Rates of gross primary production (GPP) and ecosystem respiration were determined using the open system, two-stations diurnal oxygen change method. Benthic invertebrate communities were investigated for species and functional feeding groups diversities measurements. Results show that autotrophy in the river results from nutrients of two distinct origins: point sources for phosphorus (urban area and WWTP) and non-point sources for nitrogen (agricultural zones) with local additions from WWTP inputs.Comparison between the two sites shows that the WWTP did not affect uptake rates, respiration or primary production of the ecosystem in the low-nutrient Monte´gut reach despite increase of invertebrates communities biomass density. Inputs from the WWTP, in the high nitrate and phosphate Le´zat reach, increased respiration, lower benthic biomass and led to changes in the species composition and did not affect uptake rates.

show abstract

Material Spiraling in Stream Corridors: A Telescoping Ecosystem Model

Cited by 277 publications

References 70 publications

Multiple states in river and lake ecosystems

Multiple states in river and lake ecosystems

First-Order Contaminant Removal in the Hyporheic Zone of Streams: Physical Insights from a Simple Analytical Model

Effects of wastewater treatment plant pollution on in-stream ecosystems functions in an agricultural watershed

Contact Info

Product

Resources

About