Coupling soil water processes and the nitrogen cycle across spatial scales: Potentials, bottlenecks and solutions

Zhu, Qing; Castellano, Michael J.; Gao, Yang

doi:10.1016/j.earscirev.2018.10.005

Cited by 93 publications

(48 citation statements)

References 113 publications

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“…Similarly, Di, Cameron, Podolyan, and Robinson () observed that larger soil moisture contents led to a considerable increase in N 2 O (nitrous oxide) emissions in grassland soil, which the authors attributed to the growth of ammonia oxidizing and denitrifying communities. Zhu et al () also showed that increased soil water content can lead to large N 2 O emissions through denitrification. Moreover, soil pH was negatively correlated with nutrient concentrations in our study.…”

Section: Discussionmentioning

confidence: 99%

“…Soil is characterized by spatial heterogeneity, structural complexity and biological diversity (Tian, Chen, Zhang, Melillo, & Hall, ; Zhang, Lu, Song, Guo, & Xue, ). Horizontal and vertical nutrient characteristics are both influenced by a variety of environmental factors such as hydrology, topography, climate and soil parent materials (Zhu, Castellano, & Yang, ). In wetland ecosystems, hydrological regimes (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Spatial distribution and stoichiometry of soil carbon, nitrogen and phosphorus along an elevation gradient in a wetland in China

Feng

Xie

et al. 2019

European J Soil Science

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Despite extensive studies on how environmental factors influence plant nutrient distribution and stoichiometry, it remains unclear how elevation affects soil distribution and stoichiometry. Here, patterns of the spatial distribution and stoichiometry of soil carbon (C), nitrogen (N) and phosphorus (P) were studied (with 123 soil samples) along a small‐scale elevation gradient in the wetland of East Dongting Lake, China. Plant nutrient concentrations (C, N and P), soil stoichiometry (C:N, C:P and N:P ratios) and their relations with other soil properties were analysed. In addition, the spatial distributions of plant nutrient concentrations and stoichiometry were evaluated geostatistically with regression kriging, entailing estimation of regression parameters by generalized least squares and ordinary kriging of the residuals. Soil C, N and P concentrations and stoichiometry had moderate to strong spatial dependence, and the ratios of C:P and N:P had similar patterns of distribution to soil organic carbon (SOC) and total nitrogen (TN). The SOC, TN, C:N, C:P and N:P ratios increased with increasing elevation, whereas total phosphorus (TP) showed no marked change. Furthermore, SOC, TN, C:N, C:P and N:P decreased considerably with increasing duration of submergence, soil moisture and pH. Therefore, elevation appeared to influence the distribution of plant nutrients and stoichiometry as a result of changing soil moisture and duration of submergence. Highlights Study showed how elevation influences plant nutrient distribution and stoichiometry. Regression kriging was used to map soil properties. Plant nutrients and stoichiometry decreased with increasing duration of submergence. Elevation affected nutrient distribution because of soil moisture and water regime.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial distribution and stoichiometry of soil carbon, nitrogen and phosphorus along an elevation gradient in a wetland in China

Feng

Xie

et al. 2019

European J Soil Science

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“…The SON content was significantly correlated with the SOC content due to primary source SOM [46]; thus, the SON distribution was also affected by straw non-recycling and tillage practices. Extraneous inorganic N, synthetic N fertilizer, and atmospheric N deposition can also be transformed into SON through uptake and transformation by plants and microbes [20]. In farmland (FL), markedly lower C/N rations in the 10-50-cm-deep soil layer likely resulted from biological immobilization of nitrogenous fertilizer.…”

Section: Indication Of Agricultural Activity C and N Sources In Agrimentioning

confidence: 99%

“…Synthetic N fertilizer can be fixed into SON through microbial immobilization and crop uptake, transformation and returning into soil as litter [20]. Therefore, the δ 15 N SON in cropland commonly decreases with the application of 15 N-depleted inorganic N fertilizers [21].…”

Section: Introductionmentioning

confidence: 99%

Variations and Indications of δ13CSOC and δ15NSON in Soil Profiles in Karst Critical Zone Observatory (CZO), Southwest China

et al. 2019

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Soil carbon and nitrogen storage and stabilization are the key to solving the problems of mitigation of global warming and maintaining of crop productivity. In this study, the contents of soil organic carbon (SOC) and soil organic nitrogen (SON) and their stable isotope compositions (δ13CSOC and δ15NSON) in soil profiles were determined in two agricultural lands (including a farmland and an abandoned farmland) and four non-agricultural lands (including two shrub-grass lands and two shrub lands) in the karst critical zone observatory (CZO), Southwest China. The contents of SOC and SON were used for research on the effects of land use on SOC and SON storage, and the change of δ13CSOC and δ15NSON values in soil profiles were used to indicate SOC and SON stabilization. The results showed that agricultural activities reduced SOC and SON storage in the whole soil layers of farmland compared to non-agricultural lands, and farmland abandonment slightly increased SOC and SON storage. Crop rotation between peanut (C3) and corn (C4) affected the δ13CSOC in surface soils of agricultural lands (−21.6‰), which were intermediate between shrub lands (−22.7‰) and shrub-grass lands (−19.6‰). 15N-depleted SON in surface soils in farmland compared to those soil in other lands possibly associated with synthetic N fertilizer application. In soil layers below 30 cm depth the δ13CSOC deceased with depth, while the δ15NSON displayed irregular fluctuation. The change in δ13CSOC and δ15NSON through soil profiles in karst soils were more intensive than those in semiarid grassland soils indicating the less stabilization of SOC and SON in karst soils.

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“…Recently, some pathways were excavated to improve the modelling simulations such as revising the soil hydrological or N transformation modules of the existing models or constructing new models by coupling the sophisticate soil hydrological and biogeochemical processes ( e.g ., Dwivedi et al, ; Zhang et al, ). Even so, combing the existing soil hydrology‐ and biogeochemistry‐oriented models to improve the simulations might be an alternative with superiority in feasibility and time‐efficient, while this has seldom been considered in previous studies ( Zhu et al, ).…”

Section: Introductionmentioning

confidence: 99%

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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Coupling soil water processes and the nitrogen cycle across spatial scales: Potentials, bottlenecks and solutions

Cited by 93 publications

References 113 publications

Spatial distribution and stoichiometry of soil carbon, nitrogen and phosphorus along an elevation gradient in a wetland in China

Spatial distribution and stoichiometry of soil carbon, nitrogen and phosphorus along an elevation gradient in a wetland in China

Variations and Indications of δ13CSOC and δ15NSON in Soil Profiles in Karst Critical Zone Observatory (CZO), Southwest China

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

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