Spatial Variation in Denitrification: Dependency of Activity Centers on the Soil Environment

Christensen, Søren; Simkins, Stephen; Tiedje, James M.

doi:10.2136/sssaj1990.03615995005400060016x

Cited by 147 publications

(64 citation statements)

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“…This result was not a priori expected on the basis of literature in which denitrification rates in field measurements showed a high spatial variability (e.g. Christensen et al, 1990). 2.…”

Section: Resultscontrasting

confidence: 60%

Nitrous Oxide Production and Consumption in Peat Soils

Langeveld¹,

Hofman²

1994

Non-Co2 Greenhouse Gases: Why and How to Control?

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Abstract. Nitrous oxide can be produced in soils by biological or chemical processes in which nitrogen compounds are transformed. The occurrence and course of these processes are affected by different factors, e.g. temperature, pH, aeration of the soil, availability of organic substances and availability of inorganic nitrogen (e.g. nitrate and ammonium). How these factors affect nitrogen transformations was investigated in laboratory experiments. In these experiments biological denitrification was probably responsible for observed flushes of net nitrous oxide production. The observed effects of the above-mentioned factors qualitatively confirmed the results described by various authors for soils other than peat. A denitrification simulation model to explain the results is briefly discussed. This model was developed to describe the underlying biological processes. Suggestions are given on how to develop a field scale model to explain nitrous oxide emissions from pastures.

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“…This result was not a priori expected on the basis of literature in which denitrification rates in field measurements showed a high spatial variability (e.g. Christensen et al, 1990). 2.…”

Section: Resultscontrasting

confidence: 60%

Nitrous Oxide Production and Consumption in Peat Soils

Langeveld¹,

Hofman²

1994

Non-Co2 Greenhouse Gases: Why and How to Control?

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“…The surficial removal rates are proportional to the NO 3 -N concentration 'to the α', in which α, the rate order, is less than 1. Indeed, it has been theoretically shown in systems that have diffusion only processes and perfectly flat sediment, water column NO 3 -N removal rates are 1/2 order rates [49] The efficiency loss model thus essentially implies the apparent removal rate above an actual uneven sediment, which results in the exchange surface area that is higher than the projected area and must be adjusted to a rate between 0.5 and 1. Similar to the first order decay rate model, the model assumes that the substrate concentration is significantly smaller than K s , the system is well mixed, and has no significant influences from water losses or gains.…”

Section: Efficiency Loss (El) Modelmentioning

confidence: 99%

Comparison of Four Nitrate Removal Kinetic Models in Two Distinct Wetland Restoration Mesocosm Systems

Messer

Burchell

Bírgand

2017

Water

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Abstract:The objective of the study was to determine the kinetic model that best fit observed nitrate removal rates at the mesocosm scale in order to determine ideal loading rates for two future wetland restorations slated to receive pulse flow agricultural drainage water. Four nitrate removal models were investigated: zero order, first order decay, efficiency loss, and Monod. Wetland mesocosms were constructed using the primary soil type (in triplicate) at each of the future wetland restoration sites. Eighteen mesocosm experiments were conducted over two years across seasons. Simulated drainage water was loaded into wetlands as batches, with target nitrate-N levels typically observed in agricultural drainage water (between 2.5 and 10 mg L −1 ). Nitrate-N removal observed during the experiments provided the basis for calibration and validation of the models. When the predictive strength of each of the four models was assessed, results indicated that the efficiency loss and first order decay models provided the strongest agreement between predicted and measured NO 3 -N removal rates, and the fit between the two models were comparable. Since the predictive power of these two models were similar, the less complicated first order decay model appeared to be the best choice in predicting appropriate loading rates for the future full-scale wetland restorations.

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“…164 ~ No. 6 DISTURBANCE EVENTS AND SOIL PHOSPHORUS 399 may be captured using these soil sampling techniques (Christensen et al 1990;Beare et al 1995). For example, Bowen et al (1991) examined extractable phosphorus in the 0-to 20-cm soils of an Amazon forest and found a range of phosphorus values from 1 to 37 mg soil P/kg soil.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Disturbance Events on Labile Phosphorus Fractions and Total Organic Phosphorus in the Southern Appalachians

Wright

Coleman

1999

Soil Science

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Changes in labile soil phosphorus pools, together with changes in organic matter and total organic soil phosphorus levels, were measured following rhododendron harvest and hurricane windthrow events at the Coweeta Long Term Ecological Research (LTER) site. Seasonal soil samples were 1 taken every 3 months from June 1996 to September 1997. Soil cores were taken along four transects within each study area at distances approximately 1, 5, and 15 m upslope from the stream channel. Levels of resin P were low for all sites and sampling dates (<5 [jug PO 4 -P g soil" 1 ). Levels of bicarbonate inorganic P were <8 (jig PO 4 -P g soil" 1 for all sites and sampling dates, whereas bicarbonate organic P levels were somewhat higher and ranged from 6.5 to 26.6 jjig PO 4 -P g soil" 1. Microbial P levels were the most variable and ranged from 4.5 to 25.8 |xg PO 4 -P g soil" 1. In contrast, total organic P levels were high, 149 to 348 (jug PO 4 -P g soil" 1. For the 3 years after the disturbance events, there were no significant changes in labile phosphorus pools or in total organic phosphorus levels in the soil. This lack of significant differences is likely attributable to the low phosphorus, high P-sorbing status of the soils at Coweeta and the lack of erosion that followed these disturbance events. (Soil Science 1999;164:391-402)

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Spatial Variation in Denitrification: Dependency of Activity Centers on the Soil Environment

Cited by 147 publications

References 0 publications

Nitrous Oxide Production and Consumption in Peat Soils

Nitrous Oxide Production and Consumption in Peat Soils

Comparison of Four Nitrate Removal Kinetic Models in Two Distinct Wetland Restoration Mesocosm Systems

The Effects of Disturbance Events on Labile Phosphorus Fractions and Total Organic Phosphorus in the Southern Appalachians

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