scholarly journals Importance of feedback loops between soil inorganic nitrogen and microbial communities in the heterotrophic soil respiration response to global warming

2011 ◽  
Vol 9 (3) ◽  
pp. 222-222 ◽  
Author(s):  
Chonggang Xu ◽  
Chao Liang ◽  
Stan Wullschleger ◽  
Cathy Wilson ◽  
Nathan McDowell
Keyword(s):  
Global Warming ◽  
Soil Respiration ◽  
Microbial Communities ◽  
Inorganic Nitrogen ◽  
Feedback Loops ◽  
Soil Inorganic Nitrogen ◽  
Heterotrophic Soil Respiration ◽  
Soil Inorganic

scholarly journals Effect of Reactive black 5 azo dye on soil processes related to C and N cycling

2018 ◽  
Author(s):  
Khadeeja Rehman ◽  
Tanvir Shahzad ◽  
Amna Sahar ◽  
Sabir Hussain ◽  
Faisal Mahmood ◽  
...  
Keyword(s):  
Microbial Biomass ◽  
Soil Respiration ◽  
Azo Dye ◽  
Inorganic Nitrogen ◽  
N Cycling ◽  
Reactive Black 5 ◽  
Synthetic Dyes ◽  
Soil Inorganic Nitrogen ◽  
Dry Soil ◽  
Soil Inorganic

Azo dyes are one of the largest classes of synthetic dyes being used in textile industries. It has been reported that 15-50 % of these dyes find their way into wastewater that is often used for irrigation purpose in developing countries. Although the effect of azo dye contamination on soil nitrogen (N) cycling processes has been studied but there is no such study on soil carbon cycling. Therefore, we assessed the effect of azo dye contamination (Reactive Black 5, 30 mg kg-1 dry soil), bacteria that decolorize this dye and dye + bacteria in the presence or absence of maize leaf litter on soil respiration, soil inorganic nitrogen and microbial biomass. We found that dye contamination did not induce any change in soil respiration, soil microbial biomass or soil inorganic nitrogen availability (P> 0.05). Litter evidently increased soil respiration. Our study concludes that the Reactive Black 5 azo dye (applied at low level i.e. 30 mg kg-1 dry soil) contamination did not modify organic matter decomposition, N mineralization and microbial biomass in silty loam soil.

scholarly journals Effect of Reactive black 5 azo dye on soil processes related to C and N cycling

2018 ◽  
Author(s):  
Khadeeja Rehman ◽  
Tanvir Shahzad ◽  
Amna Sahar ◽  
Sabir Hussain ◽  
Faisal Mahmood ◽  
...  
Keyword(s):  
Microbial Biomass ◽  
Soil Respiration ◽  
Azo Dye ◽  
Inorganic Nitrogen ◽  
N Cycling ◽  
Reactive Black 5 ◽  
Synthetic Dyes ◽  
Soil Inorganic Nitrogen ◽  
Dry Soil ◽  
Soil Inorganic

Azo dyes are one of the largest classes of synthetic dyes being used in textile industries. It has been reported that 15-50 % of these dyes find their way into wastewater that is often used for irrigation purpose in developing countries. Although the effect of azo dye contamination on soil nitrogen (N) cycling processes has been studied but there is no such study on soil carbon cycling. Therefore, we assessed the effect of azo dye contamination (Reactive Black 5, 30 mg kg-1 dry soil), bacteria that decolorize this dye and dye + bacteria in the presence or absence of maize leaf litter on soil respiration, soil inorganic nitrogen and microbial biomass. We found that dye contamination did not induce any change in soil respiration, soil microbial biomass or soil inorganic nitrogen availability (P> 0.05). Litter evidently increased soil respiration. Our study concludes that the Reactive Black 5 azo dye (applied at low level i.e. 30 mg kg-1 dry soil) contamination did not modify organic matter decomposition, N mineralization and microbial biomass in silty loam soil.

Soil Inorganic Nitrogen under Fertilized Bermudagrass Turf

Crop Science ◽  
2003 ◽  
Vol 43 (1) ◽  
pp. 247 ◽  
Author(s):  
David J. Lee ◽  
Daniel C. Bowman ◽  
D. Keith Cassel ◽  
Charles H. Peacock ◽  
Thomas W. Rufty
Keyword(s):  
Inorganic Nitrogen ◽  
Soil Inorganic Nitrogen ◽  
Soil Inorganic

scholarly journals Compost and soil moisture effects on seasonal carbon and nitrogen dynamics, greenhouse gas fluxes and global warming potential of semi-arid soils

2019 ◽  
Vol 8 (S1) ◽  
pp. 367-376 ◽  
Author(s):  
Mavis Badu Brempong ◽  
Urszula Norton ◽  
Jay B. Norton
Keyword(s):  
Global Warming ◽  
Soil Moisture ◽  
Global Warming Potential ◽  
Carbon Dioxide Emissions ◽  
Inorganic Nitrogen ◽  
Early Summer ◽  
Late Spring ◽  
Late Winter ◽  
Normal Soil ◽  
Soil Inorganic

Abstract Purpose An 8-week incubation study was conducted to monitor soil inorganic nitrogen (N), dissolved organic carbon (DOC), greenhouse gases (GHG) [CO2, N2O and CH4] and cumulative global warming potential (GWP) in dryland soil. Methods Soil was amended with variable rates of compost (zero, 15, 30 and 45 dry Mg ha−1) and soil moistures [5% (dry), 7% (normal) and 14% (wet) water filled pore space (WFPS)] and experienced biweekly temperature transitions from 5 °C (late winter) to 10 °C (early spring) to 15 °C (late spring) to 25 °C (early summer). Results The addition of 30 and 45 Mg ha−1 compost enhanced N mineralization with 13% more soil inorganic N (7.49 and 7.72 µg Ng−1 day−1, respectively) during early summer compared with lower compost rates. Normal and wet soils had 35% more DOC in the late spring (an average of 34 µg g−1 day−1) compared to the dry WFPS, but transitioning from late spring to early summer, DOC at all soil WFPS levels increased. Highest rates of compost were not significant sources of GHG with normal soil WFPS, compared with lower compost rates. Carbon dioxide emissions increased by 59 and 15%, respectively, as soil WFPS increased from dry to normal and normal to wet. Soils with normal WFPS were the most effective CH4 sink. Conclusion One-time application of high compost rates to dryland soils leads to enhanced N and C mineralization under normal soil moisture and warmer temperature of the summer but will not pose significant global warming dangers to the environment through GHG emissions since soils are rarely wet.

Switchgrass intercropping reduces soil inorganic nitrogen in a young loblolly pine plantation located in coastal North Carolina

2014 ◽  
Vol 319 ◽  
pp. 161-168 ◽  
Author(s):  
Kevan J. Minick ◽  
Brian D. Strahm ◽  
Thomas R. Fox ◽  
Eric B. Sucre ◽  
Zakiya H. Leggett ◽  
...  
Keyword(s):  
North Carolina ◽  
Loblolly Pine ◽  
Inorganic Nitrogen ◽  
Pine Plantation ◽  
Soil Inorganic Nitrogen ◽  
Soil Inorganic

Simulating maize (Zea mays L.) growth and yield, soil nitrogen concentration, and soil water content for a long-term cropping experiment in Ontario, Canada

2014 ◽  
Vol 94 (3) ◽  
pp. 435-452 ◽  
Author(s):  
S. Liu ◽  
J. Y. Yang ◽  
C. F. Drury ◽  
H. L. Liu ◽  
W. D. Reynolds
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Inorganic Nitrogen ◽  
Nitrogen Concentration ◽  
Growth And Yield ◽  
Model Data ◽  
Soil Inorganic Nitrogen ◽  
Soil Inorganic

Liu, S., Yang, J. Y., Drury, C. F., Liu, H. L. and Reynolds, W. D. 2014. Simulating maize (Zea mays L.) growth and yield, soil nitrogen concentration, and soil water content for a long-term cropping experiment in Ontario, Canada. Can. J. Soil Sci. 94: 435–452. A performance assessment of the Decision Support Systems for Agrotechnology Transfer (DSSAT) model (v4.5) including the CERES-Maize and CENTURY modules was conducted for continuous maize production under annual synthetic fertilization (CC-F) and no fertilization (CC-NF) using field data from a long-term (53-yr) cropping experiment in Ontario, Canada. The assessment was based on the accuracy with which DSSAT could simulate measured grain yield, above-ground biomass, leaf area index (LAI), soil inorganic nitrogen concentration, and soil water content. Model calibration for maize cultivar was achieved using grain yield measurements from CC-F between 2007 and 2012, and model evaluation was achieved using soil and crop measurements from both CC-F and CC-NF for the same 6-yr period. Good model–data agreement for CC-F grain yields was achieved for calibration (index of agreement, d=0.99), while moderate agreement for CC-NF grain yields was achieved for evaluation (d=0.79). Model–data agreement for above-ground biomass was good (d=0.83–1.00), but the model consistently underestimated for CC-F and overestimated for CC-NF. DSSAT achieved good model–data agreement for LAI in CC-F (d=0.82–0.99), but moderate to poor agreement in CC-NF (d=0.46–0.64). The CENTURY module of DSSAT simulated soil inorganic nitrogen concentrations with moderate to good model–data agreement in CC-F (d=0.74–0.88), but poor agreement in CC-NF (d=0.40–0.50). The model–data agreement for soil water content was moderate in 2007 and 2008 for both treatments (d=0.60–0.76), but poor in 2009 (d=0.46–0.53). It was concluded that the DSSAT cropping system model provided generally good to moderate simulations of continuous maize production (yield, biomass, LAI) for a long-term cropping experiment in Ontario, Canada, but generally moderate to poor simulations of soil inorganic nitrogen concentration and soil water content.

Sign in / Sign up

Export Citation Format

Share Document