Soil nitrogen mineralisation dynamics under long-term different irrigation methods in greenhouses

2014 ◽  
Vol 63 (sup2) ◽  
pp. 117-126 ◽  
Author(s):  
Jinghong Ji ◽  
Yulong Zhang ◽  
Yuling Zhang ◽  
Na Yu ◽  
Hongtao Zou ◽  
...  
2018 ◽  
Vol 44 (7) ◽  
pp. 1067 ◽  
Author(s):  
Sha-Sha LI ◽  
Geng MA ◽  
Wei-Xing LIU ◽  
Juan KANG ◽  
Yu-Lu CHEN ◽  
...  
Keyword(s):  

Soil Research ◽  
2019 ◽  
Vol 57 (7) ◽  
pp. 738 ◽  
Author(s):  
D. E. Allen ◽  
P. M. Bloesch ◽  
T. G. Orton ◽  
B. L. Schroeder ◽  
D. M. Skocaj ◽  
...  

We explored soil properties as indices of mineralisable nitrogen (N) in sugarcane soils and whether we could increase the accuracy of predicting N mineralisation during laboratory incubations. Utilising historical data in combination with samples collected during 2016, we: (i) measured mineralised N over the course of short-term (14 days) and long-term (301 days) laboratory incubations; (ii) compared models representing mineralisation; then (iii) related model parameters to measured soil properties. We found measures representing the labile organic N pool (Hydrolysable NaOH organic N; amino sugar Illinois soil N test) best related to short-term mineralised N (R2 of 0.50–0.57, P < 0.001), while measures of CO2 production (3, 7, 10 and 14 days) best related to longer-term mineralised N (R2 of 0.75–0.84, P < 0.001). Indices were brought together to model the active and slow pools of a two-pool mineralisation model in the statistical framework of a mixed-effects model. Of the models that relied on measurement of one soil property, cumulative CO2 production (7 days) performed the best when considering all soil types; in a cross-validation test, this model gave an external R2 of 0.77 for prediction of the 301-day mineralised N. Since the mixed-effects model accounts for the various sources of uncertainty, we suggest this approach as a framework for prediction of in-field available N, with further measurement of long-term mineralised N in other soils to strengthen predictive certainty of these soil indices.


Ecosphere ◽  
2019 ◽  
Vol 10 (11) ◽  
Author(s):  
Megan L. Feddern ◽  
Gordon W. Holtgrieve ◽  
Steven S. Perakis ◽  
Julia Hart ◽  
Hyejoo Ro ◽  
...  

2003 ◽  
Vol 54 (4) ◽  
pp. 353 ◽  
Author(s):  
Victor O. Sadras ◽  
Jeffrey A. Baldock

Power laws describe the relationships between the number N (s) and the size s of daily rainfall events, i.e. N (s) ~ s–τ, with higher τ corresponding to sites or seasons with greater frequency of small rainfall events. This paper tested the hypothesis that the rate of soil nitrogen mineralisation increases with increasing exponent τ, as affected by both spatial and temporal sources of variation. Rates of nitrogen mineralisation in an uncropped sandy loam soil were calculated using a simulation model with detailed nitrogen and water balances, and long-term weather data for 6 Australian locations in a range of annual rainfall from 260 to 360 mm. Daily rates of mineralisation were calculated using actual rainfall, and variable or fixed temperature and evaporative demand. The annual pattern of mineralisation rate, calculated as a function of rainfall and variable temperature and evaporative demand, was bimodal with peaks in April and November. These peaks disappeared and differences among locations were reduced when the effects of temperature and evaporative demand were removed. Under constant temperature and evaporative demand, mineralisation rates between April and November were 68% greater than rates between December and March. In the former period, characterised by a high frequency of small rainfall events, monthly mineralisation rate was a direct function of the amount of rainfall. In contrast, mineralisation was independent of the amount of rainfall during the period of larger, less frequent rainfall events from December to March. Parameter τ accounted for 75% of the variation in mineralisation rate in the period December–March and it also accounted for a substantial part of the variation between periods.


2012 ◽  
Vol 104 (5) ◽  
pp. 1223-1237 ◽  
Author(s):  
Peter Anthony ◽  
Gary Malzer ◽  
Mingchu Zhang ◽  
Stephen Sparrow

2005 ◽  
Vol 97 (4) ◽  
pp. 1037-1045 ◽  
Author(s):  
W. B. Stevens ◽  
R. G. Hoeft ◽  
R. L. Mulvaney

2011 ◽  
Vol 75 (6) ◽  
pp. 2251-2261 ◽  
Author(s):  
Ram C. Dalal ◽  
Weijin Wang ◽  
Diane E. Allen ◽  
Steven Reeves ◽  
Neal W. Menzies

Soil Research ◽  
2001 ◽  
Vol 39 (3) ◽  
pp. 535 ◽  
Author(s):  
R. L. Parfitt ◽  
G. J. Salt ◽  
S. Saggar

We conducted a 7-week laboratory incubation experiment to evaluate the effect of leaching on net C and N mineralisation in soils. The soils were collected from adjacent fields of long-term pasture and maize, where each field contained an Inceptisol and an Andisol. The concentration of clay mineral was 200 g/kg halloysite in the Inceptisol and 120 g/kg allophane in the Andisol. Half the samples were leached weekly with 0.002 M CaCl2 at a suction of 20 kPa to remove soluble products, and half were not leached. Carbon mineralisation was determined from CO2-C evolved each week. Net N mineralisation was measured for the leached samples from the NH4-N and NO3-N in the CaCl2 extracts, and for the batch of non-leached samples by extraction in 0.5 M K2SO4. Carbon and net N mineralisation were greater in the soils under pasture than in soils under maize. The proportion of total C mineralised as CO2-C, and of total N mineralised as NH4-N and NO3-N, followed the order Inceptisol-pasture > Inceptisol-maize > Andisol-pasture > Andisol-maize, suggesting that allophane and Al ions reduced net mineralisation. Dissolved organic carbon (DOC) produced during incubation, as a proportion of total C, was greatest for the Inceptisol-maize sample and least for the Andisol-pasture sample. Non-leaching resulted in the accumulation of acids and solutes, and decreased C mineralisation for the Inceptisol samples.


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