scholarly journals Evidence for temperature limitation of nitrogen mineralisation in the Drakensberg Alpine Centre

2013 ◽  
Vol 88 ◽  
pp. 447-454 ◽  
Author(s):  
Clinton Carbutt ◽  
Trevor J. Edwards ◽  
Richard W.S. Fynn ◽  
Richard P. Beckett
2007 ◽  
Author(s):  
G. C. Koltsakis ◽  
O. A. Haralampous ◽  
Z. C. Samaras ◽  
L. Kraemer ◽  
F. Heimlich ◽  
...  

2011 ◽  
Vol 25 (11) ◽  
pp. 1472-1478 ◽  
Author(s):  
B. Gómez-Muñoz ◽  
D. J. Hatch ◽  
R. Bol ◽  
E. R. Dixon ◽  
R. García-Ruiz

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.


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