Assessing thermodynamic parameter sensitivity for simulating temperature responses of soil nitrification

Mukhtar, Hussnain; Lin, Yu‐Pin; Lin, Chiao Ming; Petway, Joy R.

doi:10.1039/c9em00310j

Cited by 13 publications

(11 citation statements)

References 48 publications

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“…The soil samples, representing different soil types from different climate regions of Taiwan [41], were collected from cropped land and non-cropped land across four different counties including Chiayi, Taoyuan, Miaoli, and Pingtung. Six to eight soil samples from each site were collected randomly at depths of approximately 15 cm and a composite sampling technique was used to represent each sampled field.…”

Section: Soil Samplingmentioning

confidence: 99%

“…An appropriate concentration of substrate (ammonium sulfate), which can provide an adequate amount of ammonium for AOA and AOB during the incubation period, and optimum concentration of Sodium chlorate (NaClO 3 ) to inhibit the oxidation of the nitrite was used as described in our previous study [41]. Mukhtar et al (2019) found no significant NO 2 − accumulation over 24 h above 200 mg L −1 of (NH 4 ) 2 SO 4 where NO 3 production was negligible above 7.5 mmol L −1 of NaClO 3 .…”

Section: Soil Incubation and Nitrification Potential Measurementmentioning

confidence: 99%

“…Soil nitrification is highly context-specific in that the process varies between environmental and edaphic factors that control nitrifier abundances and composition, and their activities in soil [36][37][38][39]. On the other hand, soil nitrification is highly sensitive to temperature so that nitrification rates increase with increasing temperature, and sharply decrease to above the optimum temperature at which maximum activity can be observed due to enzyme degradation at high temperature in soil [3,40,41]. Therefore, these variations in soil nitrification potential (NP) among different soils and temperatures would require different application rates of DCD and DMPP to achieve the substantial inhibition of ammonia oxidization in soil.…”

Section: Introductionmentioning

confidence: 99%

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Soil Nitrification Potential Influences the Performance of Nitrification Inhibitors DCD and DMPP in Cropped and Non-Cropped Soils

Mukhtar

Lin

2019

Agronomy

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The application of nitrification inhibitors (NIs) shows promise in prolonging the ammonium presence in soil with beneficial effects for agriculture ecosystems and climate change mitigation. Although the inhibitory effect (IE) of NIs has been studied in the presence of various environmental and edaphic conditions, little is known about the effect of soil nitrification potential (NP) on the effectiveness of NIs. Here, laboratory-scale experiments were conducted to investigate the effect of the variation in soil NP rates, among land-use type and temperature, on the performance of two nitrification inhibitors, dicyandiamide (DCD) and 3,4-dimethypyrazole phosphate (DMPP), at four NI application rates imposed upon eight cropland and non-cropland soils. We found that the IE of DCD and DMPP were organized according to soil NP rates. Nevertheless, NP was lower in non-cropped soil than in cropped systems, and DMPP-based inhibition was higher than DCD. The IE of both NIs decreased with NP and the amount of NI required to achieve an IE ≈ 50%, was significantly reduced for soils that exhibited the lowest NP rates, especially for DMPP. However, the temperature did not appear to have a major influence on IE of both DCD and DMPP, demonstrating the potential of NIs to inhibit nitrification for a wider temperature range, dependent on the NI application rate. Our findings provide evidence that change in soil NP rate has important influences on the efficacy of NI which required great consideration for N-fertilizer optimization with the application of nitrification inhibitors.

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Section: Soil Samplingmentioning

confidence: 99%

Section: Soil Incubation and Nitrification Potential Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Soil Nitrification Potential Influences the Performance of Nitrification Inhibitors DCD and DMPP in Cropped and Non-Cropped Soils

Mukhtar

Lin

2019

Agronomy

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“…The SQRT model simulated the maximum NP rates at 32 °C and the sudden drop in NP rates at 40 °C and thus, showed high NSE and correlation coefficient values for both organic and inorganic soils. However, the MMRT model showed high NSE and correlation constant values for soils that showed relatively less fluctuation in NP rates (smooth curve [43]) at different temperatures.…”

Section: Resultsmentioning

confidence: 99%

Relative Abundance of Ammonia Oxidizing Archaea and Bacteria Influences Soil Nitrification Responses to Temperature

Mukhtar

Lin

et al. 2019

Microorganisms

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Ammonia oxidizing archaea (AOA) and bacteria (AOB) are thought to contribute differently to soil nitrification, yet the extent to which their relative abundances influence the temperature response of nitrification is poorly understood. Here, we investigated the impact of different AOA to AOB ratios on soil nitrification potential (NP) across a temperature gradient from 4 °C to 40 °C in twenty different organic and inorganic fertilized soils. The temperature responses of different relative abundance of ammonia oxidizers for nitrification were modeled using square rate theory (SQRT) and macromolecular rate theory (MMRT) models. We found that the proportional nitrification rates at different temperatures varied among AOA to AOB ratios. Predicted by both models, an optimum temperature (Topt) for nitrification in AOA dominated soils was significantly higher than for soils where AOA and AOB abundances are within the same order of magnitude. Moreover, the change in heat capacity (ΔCP‡) associated with the temperature dependence of nitrification was positively correlated with Topt and significantly varied among the AOA to AOB ratios. The temperature ranges for NP decreased with increasing AOA abundance for both organic and inorganic fertilized soils. These results challenge the widely accepted approach of comparing NP rates in different soils at a fixed temperature. We conclude that a shift in AOA to AOB ratio in soils exhibits distinguished temperature-dependent characteristics that have an important impact on nitrification responses across the temperature gradient. The proposed approach benefits the accurate discernment of the true contribution of fertilized soils to nitrification for improvement of nitrogen management.

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“…Mukhtar et al modeled the temperature-dependent soil nitrification potential rate with the square root model of Ratkowsky et al and estimated the optimum temperature for the nitrification potential rate with the heat capacity model. The authors suggest that the knowledge of thermodynamic properties of the soil nitrification response may be used to improve the application of large-scale fertilization, while reducing eutrophication and connected negative environmental impacts [105]. For cleaning purposes of contaminated water with excess nitrogen, denitrifying fixed-bed bioreactors can be used for NO 3 − removal [106].…”

Section: Application Of Temperature Models and Temperature For Biopromentioning

confidence: 99%

Modeling and Exploiting Microbial Temperature Response

et al. 2020

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Temperature is an important parameter in bioprocesses, influencing the structure and functionality of almost every biomolecule, as well as affecting metabolic reaction rates. In industrial biotechnology, the temperature is usually tightly controlled at an optimum value. Smart variation of the temperature to optimize the performance of a bioprocess brings about multiple complex and interconnected metabolic changes and is so far only rarely applied. Mathematical descriptions and models facilitate a reduction in complexity, as well as an understanding, of these interconnections. Starting in the 19th century with the “primal” temperature model of Svante Arrhenius, a variety of models have evolved over time to describe growth and enzymatic reaction rates as functions of temperature. Data-driven empirical approaches, as well as complex mechanistic models based on thermodynamic knowledge of biomolecular behavior at different temperatures, have been developed. Even though underlying biological mechanisms and mathematical models have been well-described, temperature as a control variable is only scarcely applied in bioprocess engineering, and as a conclusion, an exploitation strategy merging both in context has not yet been established. In this review, the most important models for physiological, biochemical, and physical properties governed by temperature are presented and discussed, along with application perspectives. As such, this review provides a toolset for future exploitation perspectives of temperature in bioprocess engineering.

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Assessing thermodynamic parameter sensitivity for simulating temperature responses of soil nitrification

Abstract: The sensitivity of SQRT model-estimated parameters varied over a temperature gradient whereas no variation in MMRT model-estimated parameters, in simulating temperature responses of soil nitrification over the temperature range, was observed.

Cited by 13 publications

References 48 publications

Soil Nitrification Potential Influences the Performance of Nitrification Inhibitors DCD and DMPP in Cropped and Non-Cropped Soils

Soil Nitrification Potential Influences the Performance of Nitrification Inhibitors DCD and DMPP in Cropped and Non-Cropped Soils

Relative Abundance of Ammonia Oxidizing Archaea and Bacteria Influences Soil Nitrification Responses to Temperature

Modeling and Exploiting Microbial Temperature Response

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