Nitrogen mineralisation in sugarcane soils in Queensland, Australia: I. evaluation of soil tests for predicting nitrogen mineralisation

被引:10
|
作者
Allen, D. E. [1 ]
Bloesch, P. M. [1 ]
Orton, T. G. [1 ,2 ]
Schroeder, B. L. [3 ]
Skocaj, D. M. [4 ]
Wang, W. [1 ]
Masters, B. [5 ]
Moody, P. M. [1 ]
机构
[1] Queensland Govt, Dept Environm & Sci, Landscape Sci, Ecosci Precinct, GPO Box 2454, Brisbane, Qld 4001, Australia
[2] Univ Queensland, Sch Agr & Food Sci, St Lucia, Qld 4072, Australia
[3] Univ Southern Queensland, West St, Toowoomba, Qld 4350, Australia
[4] Sugar Res Australia, Tully, Qld 4854, Australia
[5] Queensland Govt, Dept Nat Resources Mines & Energy, Land & Water Sci, Mareeba, Qld 4880, Australia
关键词
exponential model; kinetics; N-0; soil N supply; MICROBIAL BIOMASS; EXTRACTION METHOD; CHEMICAL INDEXES; ORGANIC-MATTER; AVAILABILITY; FERTILIZER; MANAGEMENT; RELEASE; CAPACITY; DYNAMICS;
D O I
10.1071/SR19031
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
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 (R-2 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 (R-2 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 R-2 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.
引用
收藏
页码:738 / 754
页数:17
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