Field-specific simulations of net N mineralization based on digitally available soil and weather data: II. Pedotransfer functions for the pool sizes

作者: Sabine Heumann , Horst Ringe , Jürgen Böttcher

DOI: 10.1007/S10705-011-9465-X

关键词:

摘要: Avoiding surplus N fertilization without reducing crop yields could be accomplished by accounting for current net mineralization in fertilizer recommendations. simulation models would allow a quantitative consideration of important factors and based upon digitally mapped data. Soil-specific temperature water functions that were derived part I the paper needed differentiation between only three soil groups two allocating criteria taken from digital maps. Here, objectives to experimentally determine pedotransfer (PTFs) pool sizes organic pools (Nfast, Nslow) calculated via available data need minimum set easily accessible management Interestingly, most input PTFs both mean clay contents texture class (German classification system). However, underlying mechanisms might different, as Nslow positively influenced clay-associated mineralizable SOM, whereas Nfast related content due higher yield potential thus more residues on finer-textured soils. For including humus improved accuracy PTF (r² = 0.60; P < 0.050). it was include negative influence fall preceding year (r² = 0.42; P < 0.010), probably its residue degradation before winter. Surprisingly, data, e.g. previous crop, did not improve predictions this study. Field studies with plant cover will have further prove applicability PTFs.

参考文章(27)
WJ Rawls, TJ Gish, DL Brakensiek, None, Estimating Soil Water Retention from Soil Physical Properties and Characteristics Advances in Soil Science. pp. 213- 234 ,(1991) , 10.1007/978-1-4612-3144-8_5
J. Bouma, Using Soil Survey Data for Quantitative Land Evaluation Advances in Soil Science. pp. 177- 213 ,(1989) , 10.1007/978-1-4612-3532-3_4
K.C. Kersebaum, K. Lorenz, H.I. Reuter, J. Schwarz, M. Wegehenkel, O. Wendroth, Operational use of agro-meteorological data and GIS to derive site specific nitrogen fertilizer recommendations based on the simulation of soil and crop growth processes Physics and Chemistry of The Earth. ,vol. 30, pp. 59- 67 ,(2005) , 10.1016/J.PCE.2004.08.021
Günther Springob, Holger Kirchmann, C-rich sandy Ap horizons of specific historical land-use contain large fractions of refractory organic matter Soil Biology & Biochemistry. ,vol. 34, pp. 1571- 1581 ,(2002) , 10.1016/S0038-0717(02)00127-X
Kurt Christian Kersebaum, Modelling nitrogen dynamics in soil–crop systems with HERMES Nutrient Cycling in Agroecosystems. ,vol. 77, pp. 147- 160 ,(2007) , 10.1007/S10705-006-9044-8
Peter Schweigert, Nicholas Pinter, Rienk R. van der Ploeg, Regression analyses of weather effects on the annual concentrations of nitrate in soil and groundwater Journal of Plant Nutrition and Soil Science. ,vol. 167, pp. 309- 318 ,(2004) , 10.1002/JPLN.200321291
Sabine Heumann, Jürgen Böttcher, Günther Springob, N mineralization parameters of sandy arable soils Journal of Plant Nutrition and Soil Science. ,vol. 165, pp. 441- 450 ,(2002) , 10.1002/1522-2624(200208)165:4<441::AID-JPLN441>3.0.CO;2-F
H. L. Liu, J. Y. Yang, C. F. Drury, W. D. Reynolds, C. S. Tan, Y. L. Bai, P. He, J. Jin, G. Hoogenboom, Using the DSSAT-CERES-Maize model to simulate crop yield and nitrogen cycling in fields under long-term continuous maize production Nutrient Cycling in Agroecosystems. ,vol. 89, pp. 313- 328 ,(2011) , 10.1007/S10705-010-9396-Y
G. J. H. M. van der Burgt, G. J. M. Oomen, A. S. J. Habets, W. A. H. Rossing, The NDICEA model, a tool to improve nitrogen use efficiency in cropping systems Nutrient Cycling in Agroecosystems. ,vol. 74, pp. 275- 294 ,(2006) , 10.1007/S10705-006-9004-3
K. I. Paul, P. J. Polglase, A. M. O'Connell, J. C. Carlyle, P. J. Smethurst, P. K. Khanna, Defining the relation between soil water content and net nitrogen mineralization European Journal of Soil Science. ,vol. 54, pp. 39- 48 ,(2003) , 10.1046/J.1365-2389.2003.00502.X