Intercomparison of national & IPCC methods for estimating N loss from agricultural land

被引:0
|
作者
M. Silgram
R. Waring
S. Anthony
J. Webb
机构
[1] ADAS Wolverhampton,
[2] `Woodthorne',undefined
来源
Nutrient Cycling in Agroecosystems | 2001年 / 60卷
关键词
agricultural pollution; catchment model; nitrate leaching; policy tool;
D O I
暂无
中图分类号
学科分类号
摘要
The Intergovernmental Panel on Climate Change (IPCC) estimate indirect N2O emissions from agriculture as 2.5% of nitrate leached, which is itself estimated as a proportion of manure/fertiliser inputs. However, this assumes leaching losses are linearly related to N inputs, over-simplifying a complex N loss function which depends on the interactions between over-winter rainfall, soil type, cropping, and the rate/timing of fertiliser/manure applications. Consideration of these factors would produce a more robust method for estimating N losses. Three alternatives were compared for estimating nitrate leaching and hence indirect N2O loss in England & Wales: (i) IPCC method, (ii) IPCC method using UK-specific manure inputs, (iii) NEAP-N, a model developed for modelling N losses at a national scale. Introducing UK-specific livestock manure data into the IPCC calculation reduced the mean indirect N2O loss from agricultural land from 19980 t N a−1 using default IPCC data (method (i)) to 14335 t N a−1 (method (ii)), indicating that IPCC default data are inappropriate for representing agricultural conditions in the UK. Adopting the NEAP-N method reduced the calculated indirect N2O flux further to 8890 t N a−1. The IPCC approach generated unrealistically low losses from peas/beans and ``zero'' loss estimates from fallow and set-aside land due to their nil fertiliser N additions, highlighting a limitation in this method which assumes all nitrate leaching is derived from fertiliser or manure additions. NEAP-N uses spatially distributed agricultural census information to relate land use and crop type to dominant soil type and hydrologically effective rainfall (HER), as it is these factors which strongly influence nutrient loss. In contrast, IPCC methods (i) and (ii) do not take account of soil type and HER factors, and simply compute nitrate leached as a function of nitrogen applied. Furthermore, the IPCC method, which is based solely on the amount of nitrogen applied, will not characterise reductions in nitrate loss arising from changes to the timing of fertiliser and/or manure applications. This is an important component of strategies to reduce agricultural nitrate loss (e.g. Nitrate Vulnerable Zone regulations). NEAP-N predictions of nitrate leaching losses compare favourably with measurements of stream nitrate fluxes, whereas IPCC methods repeatedly overestimate measured loss two or threefold. We conclude that, for the UK, country-specific estimates using NEAP-N should be used in national greenhouse gas inventories in preference to values using the default IPCC method.
引用
收藏
页码:189 / 195
页数:6
相关论文
共 50 条
  • [1] Intercomparison of national & IPCC methods for estimating N loss from agricultural land
    Silgram, M
    Waring, R
    Anthony, S
    Webb, J
    NUTRIENT CYCLING IN AGROECOSYSTEMS, 2001, 60 (1-3) : 189 - 195
  • [2] Cost-effectiveness of tillage methods to reduce phosphorus loss from agricultural land
    Refsgaard, Karen
    Bechmann, Marianne
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2016, 59 (09) : 1560 - 1579
  • [3] Estimating the national wage loss from cancer in Canada
    Hopkins, R. B.
    Goeree, R.
    Longo, C. J.
    CURRENT ONCOLOGY, 2010, 17 (02) : 40 - 49
  • [4] ESTIMATING LAND LOSS ON THE URBAN FRINGE - A COMPARISON OF THE AGRICULTURAL CENSUS AND AERIAL PHOTOGRAPH MAP EVIDENCE
    ILBERY, BW
    EVANS, NJ
    GEOGRAPHY, 1989, 74 (324) : 214 - 221
  • [5] Estimating geostrophic and total velocities from CTD and ADCP data: Intercomparison of different methods
    Rubio, Anna
    Gomis, Damia
    Jorda, Gabriel
    Espino, Manuel
    JOURNAL OF MARINE SYSTEMS, 2009, 77 (1-2) : 61 - 76
  • [6] Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere
    Zhou, Ji
    Li, Jing
    Zhang, Lixin
    Hu, Deyong
    Zhan, Wenfeng
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (08) : 2582 - 2602
  • [7] IPCC Emission Factor Overestimates N2O Emissions from Agricultural Ditches
    Wu, Wenxin
    Comer-Warner, Sophie A.
    Peacock, Mike
    Han, Xingxing
    Li, Si-Liang
    Ju, Xiaotang
    Liu, Cong-Qiang
    Smith, Pete
    Yan, Zhifeng
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2024, 58 (45) : 20019 - 20029
  • [8] Estimation of Land Surface Temperature in an Agricultural Region of Bangladesh from Landsat 8: Intercomparison of Four Algorithms
    Sajib, Md Qutub Uddin
    Wang, Tao
    SENSORS, 2020, 20 (06)
  • [9] Estimating carbon supply curves from afforestation of agricultural land in the Northeastern US
    Winsten, Jonathan
    Walker, Sarah
    Brown, Sandra
    Grimland, Sean
    MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2011, 16 (08) : 925 - 942
  • [10] Estimating above-ground carbon fluxes from UK agricultural land
    Adger, WN
    Subak, S
    GEOGRAPHICAL JOURNAL, 1996, 162 : 191 - 204