Understanding the hydrologic control of N cycle: Effect of water filled pore space on heterotrophic nitrification, denitrification and dissimilatory nitrate reduction to ammonium mechanisms in unsaturated soils

Mekala, C.; Nambi, Indumathi M.

doi:10.1016/j.jconhyd.2017.04.005

Cited by 30 publications

(14 citation statements)

References 59 publications

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“…Thereby, precipitation and the application of spring fertilizer were two main controlling factors of the temporal variation of

{NO}_{3}^{-}

‐N leaching on this hillslope. Previous studies have also reported the importance of precipitation and fertilization on the temporal variation of

{NO}_{3}^{-}

‐N leaching ( Donner et al, ; Di and Cameron , ; Mekala and Nambi , ; Dwivedi et al, ). As the

{NO}_{3}^{-}

‐N leaching was mainly restrained by the precipitation (Fig.…”

Section: Discussionmentioning

confidence: 95%

“…In addition, the relative contributions of PCS1 were positively correlated ( r = 0.86, p < 0.05) with soil

{NO}_{3}^{-}

‐N content, while for PCS3 were negatively correlated ( r = –0.85, p < 0.05) with soil

{NO}_{3}^{-}

‐N content but positively correlated ( r = 0.67, p < 0.05) with precipitation. This can be attributed to that when soil contained great

{NO}_{3}^{-}

‐N content, the

{NO}_{3}^{-}

‐N leaching was mainly restrained by soil drainage, which was mainly determined by PCS1 ( Kurunc et al, ; Mekala and Nambi , ). The PCS3 was negatively correlated ( r = –0.55, p < 0.05) with SDRD (Tab.…”

Section: Discussionmentioning

confidence: 99%

“…The

{NO}_{3}^{-}

‐N leaching is formed by the combined effects of soil N cycle and soil hydrological processes ( Li et al, ; Osaka et al, ; Zhang et al, ). Soil N cycle, especially the nitrification process, directly determines the soil

{NO}_{3}^{-}

‐N pool that isavailable for leaching ( Osaka et al, ; Mekala and Nambi , ). Soil hydrology affects the

{NO}_{3}^{-}

‐N leaching by two ways.…”

Section: Introductionmentioning

confidence: 99%

“…Soil hydrology affects the

{NO}_{3}^{-}

‐N leaching by two ways. From the biochemical perspective, soil water reduces the soil air‐filled pore space, thus altering the redox reaction of soil N, and thereby changing the soil

{NO}_{3}^{-}

‐N content that is available for leaching ( Castellano et al, ; Stoliker et al, ; Mekala and Nambi , ; Wu et al, ). From the physical perspective, soil water movement is an important driving force of the

{NO}_{3}^{-}

‐N leaching ( Donner et al., ; Li et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…Numerous soil hydrology-or biogeochemistry-oriented models have been applied to simulate the NO À 3 -N leaching in the past (e.g., Li et al, 2006;Li et al, 2014;Mekala and Nambi, 2017;Iqbal et al, 2018). Compared to field experiments (e.g., by lysimeters and runoff plots), modelling simulations were time-and cost-efficient and could obtain the time-continuous and high spatial resolution NO À 3 -N leaching flux data .…”

Section: Introductionmentioning

confidence: 99%

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Investigating the spatio‐temporal variations of nitrate leaching on a tea garden hillslope by combining HYDRUS‐3D and DNDC models

Lai

Liu

Zhou

et al. 2019

J. Plant Nutr. Soil Sci.

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Spatio-temporal variations of nitrate-nitrogen (NO À 3 -N) leaching is driven by both soil hydrology and biogeochemistry. However, the widely used soil hydrology and biogeochemistry models have their weaknesses in simulating soil N cycling and soil water movement processes, respectively. In this study, we proposed an alternative approach by simply combining the HYDRUS-3D and DNDC models to investigate the spatio-temporal variations of NO À 3 -N leaching on a representative tea garden hillslope in Taihu Lake Basin, China. Results showed that the soil hydrology and N cycle were well simulated by HYDRUS-3D and DNDC models, respectively. Based on the leaching equation, the soil water flux simulated by HYDRUS-3D and soil NO À 3 -N content simulated by DNDC were combined to calculate the leachate NO À 3 -N concentrations with good accuracy. The accumulative NO À 3 -N leaching flux during the simulation year was 71.7 kg N ha -1 , with remarkable spatio-temporal variations on this hillslope. Hot spots of NO À 3 -N leaching were observed in blocks 24, 27, 31, 34, 37, and 40 with accumulative leaching fluxes > 82.0 kg N ha -1 y -1 . The spatial variation of NO À 3 -N leaching was mainly controlled by soil texture and soil hydraulic properties. Hot moments of NO À 3 -N leaching were observed after the applications of spring fertilizer (16 March) and basal fertilizer (30 October). The temporal variation of NO À 3 -N leaching was mainly controlled by precipitation and the spring fertilization. Methods and findings of this study will be benefit for the risk assessment of non-point source N loss and the precise agricultural management.

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“…Thereby, precipitation and the application of spring fertilizer were two main controlling factors of the temporal variation of

{NO}_{3}^{-}

‐N leaching on this hillslope. Previous studies have also reported the importance of precipitation and fertilization on the temporal variation of

{NO}_{3}^{-}

‐N leaching ( Donner et al, ; Di and Cameron , ; Mekala and Nambi , ; Dwivedi et al, ). As the

{NO}_{3}^{-}

‐N leaching was mainly restrained by the precipitation (Fig.…”

Section: Discussionmentioning

confidence: 95%

“…In addition, the relative contributions of PCS1 were positively correlated ( r = 0.86, p < 0.05) with soil

{NO}_{3}^{-}

‐N content, while for PCS3 were negatively correlated ( r = –0.85, p < 0.05) with soil

{NO}_{3}^{-}

‐N content but positively correlated ( r = 0.67, p < 0.05) with precipitation. This can be attributed to that when soil contained great

{NO}_{3}^{-}

‐N content, the

{NO}_{3}^{-}

Section: Discussionmentioning

confidence: 99%

“…The

{NO}_{3}^{-}

{NO}_{3}^{-}

‐N pool that isavailable for leaching ( Osaka et al, ; Mekala and Nambi , ). Soil hydrology affects the

{NO}_{3}^{-}

‐N leaching by two ways.…”

Section: Introductionmentioning

confidence: 99%

“…Soil hydrology affects the

{NO}_{3}^{-}

‐N leaching by two ways. From the biochemical perspective, soil water reduces the soil air‐filled pore space, thus altering the redox reaction of soil N, and thereby changing the soil

{NO}_{3}^{-}

{NO}_{3}^{-}

‐N leaching ( Donner et al., ; Li et al, ).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Investigating the spatio‐temporal variations of nitrate leaching on a tea garden hillslope by combining HYDRUS‐3D and DNDC models

Lai

Liu

Zhou

et al. 2019

J. Plant Nutr. Soil Sci.

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Matrix‐associated microbial communities in a nitrogen‐removing on‐site wastewater treatment system are largely structured by niche processes

Langlois

Collier

2022

J of Env Quality

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On‐site wastewater treatment systems (OWTSs) can be designed to promote microbial communities with naturally occurring metabolic functions desirable to wastewater treatment. Among such OWTSs are nitrogen‐removing biofilters (NRBs), comprising a sand layer overlying a sand‐lignocellulose (sand‐lc) layer and intended to promote sequential nitrification and denitrification. The design of NRBs is based on the hypothesis that niche processes like environmental selection strongly structure the microbial communities, which predicts that immigrating wastewater communities and matrix‐associated communities will be distinct and that the matrix communities in the two layers will be distinct. We characterized NRB microbial communities by 16S ribosomal RNA amplicon sequencing. Selection of the matrix‐associated communities was indicated by clear differences from the immigrating community. For matrix‐associated communities, alpha and beta diversity differed between the matrix layers, as did the relative abundances of many functional groups and genera. Functional groups with strict metabolisms were nearly exclusively detected in either the sand (ammonia and nitrite oxidizers) or sand‐lc layer (methanogens), consistent with the niche hypothesis. Contrary to expectations, denitrifiers as a functional group were not present at greater relative abundance in the sand‐lc than sand matrix because of a portfolio effect: some denitrifying genera were more abundant in the sand layer, whereas others were more abundant in the sand‐lc layer. This study reveals niche processes acting at different levels of community organization for different biogeochemical functions, a crucial consideration in designing effective and reliable OWTSs to mitigate nitrogen pollution.

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Co-transport behavior of ammonium and colloids in saturated porous media under different hydrochemical conditions

Zhang

Qin

et al. 2020

Environ Sci Pollut Res

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Understanding the hydrologic control of N cycle: Effect of water filled pore space on heterotrophic nitrification, denitrification and dissimilatory nitrate reduction to ammonium mechanisms in unsaturated soils

Cited by 30 publications

References 59 publications

Investigating the spatio‐temporal variations of nitrate leaching on a tea garden hillslope by combining HYDRUS‐3D and DNDC models

Investigating the spatio‐temporal variations of nitrate leaching on a tea garden hillslope by combining HYDRUS‐3D and DNDC models

Matrix‐associated microbial communities in a nitrogen‐removing on‐site wastewater treatment system are largely structured by niche processes

Co-transport behavior of ammonium and colloids in saturated porous media under different hydrochemical conditions

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