Modelling Nitrogen Losses from Sheep Grazing Systems with Different Spatial Distributions of Excreta

被引:1
|
作者
Bell, Matthew J. [1 ]
Cullen, Brendan R. [1 ]
Johnson, Ian R. [1 ]
Eckard, Richard J. [1 ]
机构
[1] Univ Melbourne, Melbourne Sch Land & Environm, Melbourne, Vic 3010, Australia
来源
AGRICULTURE-BASEL | 2012年 / 2卷 / 04期
关键词
distribution; excreta; grazing system; modelling; nitrogen losses;
D O I
10.3390/agriculture2040282
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The aim of this study was to assess the effect that the randomised versus even distribution of excreta (dung and urine) may have on modelling nitrogen (N) losses by leaching, volatilisation and denitrification from a grazing system. A range of stock densities (from 200 to 2000 sheep/ha, equivalent to an annual stocking rate of 3 to 33 dry sheep equivalent (DSE)/ha respectively) were simulated to represent an increasing application of N excreta to a grazed 1 hectare area either distributed randomly or uniformly. This study found that the proportion of annual N inputs lost by denitrification were significantly lower and leaching N losses were higher at high stocking densities compared to if excreta was distributed uniformly. The results of this study indicate that N losses from a sheep grazing system could be adequately modelled assuming uniform distribution of excreta at stocking densities up to 1200 sheep/ha (equivalent to an annual stocking rate of 20 DSE/ha). But at higher stock densities, when N loads are high, the spatial distribution of excreta is important and models need to explicitly deal with the distribution of dung and urine N returns.
引用
收藏
页码:282 / 294
页数:13
相关论文
共 50 条
  • [31] THE REMOVAL OF NITROGEN AT DIFFERENT LEVELS FROM THE ALIMENTARY TRACT OF THE SHEEP
    HOGAN, JP
    JOURNAL OF PHYSIOLOGY-LONDON, 1957, 139 (03): : P25 - P26
  • [32] Volatilization and leaching losses of nitrogen from different coated urea fertilizers
    Jadon, Priyanka
    Selladurai, Rajendiran
    Yadav, Shashi Singh
    Coumar, Mounissamy Vassanda
    Dotaniya, Mohan Lal
    Singh, Arvind Kumar
    Bhadouriya, Jaideep
    Kundu, Samaresh
    JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION, 2018, 18 (04): : 1036 - 1047
  • [33] Nitrogen losses from two grassland soils with different fungal biomass
    de Vries, Franciska T.
    van Groenigen, Jan Willem
    Hoffland, Ellis
    Bloem, Jaap
    SOIL BIOLOGY & BIOCHEMISTRY, 2011, 43 (05): : 997 - 1005
  • [34] Comparison of spatial ion distributions from different ionization sources
    Bunert, Erik
    Kirk, Ansgar T.
    Kaebein, Oliver
    Zimmermann, Stefan
    INTERNATIONAL JOURNAL FOR ION MOBILITY SPECTROMETRY, 2019, 22 (01) : 21 - 29
  • [35] Small-scale spatial associations between Artemisia frigida and Potentilla acaulis at different intensities of sheep grazing
    Liu Zhenguo
    Li Zhenqing
    Dong Ming
    Nijs Ivan
    Bogaert Jan
    El-Bana, Magdy
    APPLIED VEGETATION SCIENCE, 2007, 10 (01) : 139 - 148
  • [36] Energy and charge distributions of fast nitrogen ions reflected from metal surface at grazing incidence
    Novikov, N. V.
    Teplova, Ya. A.
    Bondurko, V. V.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2007, 256 (01): : 21 - 23
  • [37] NITROGEN AND PHOSPHORUS LOSSES THROUGH RUNOFF FROM PADDY FIELDS WITH DIFFERENT WATER AND NITROGEN MANAGEMENTS
    Jin Baoming
    Yang Shihong
    Xu Junzeng
    FRESENIUS ENVIRONMENTAL BULLETIN, 2018, 27 (08): : 5212 - 5222
  • [38] Modelling phosphorus losses from pastoral farming systems in New Zealand
    McDowell, RW
    Monaghan, RM
    Wheeler, D
    NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH, 2005, 48 (01) : 131 - 141
  • [39] Nitrogen leaching losses from mixed organic farming systems in the UK
    Philipps, L
    Woodward, L
    ORGANIC AGRICULTURE - THE CREDIBLE SOLUTION FOR THE XXIST CENTURY, 1998, : 160 - 164
  • [40] Analysis of the uncertainty associated with the estimation of nitrogen losses from farming systems
    Payraudeau, Sylvain
    van der Werf, Hayo M. G.
    Vertes, Francoise
    AGRICULTURAL SYSTEMS, 2007, 94 (02) : 416 - 430