Scenario based modelling approach to inform the spatial refinement of nitrogen management strategies for improving nitrogen use efficiency in Irish grasslands

Current national nitrogen (N) management policies in Ireland, such as the Green Book (GB) and the Fifth Nitrates Action Programme (NAP), do not explicitly consider geographical factors (e.g. weather, soils) that influence nitrogen uptake and loss and which could lead to improved on-farm sustainability, in line with the goals of 4R Nutrient Stewardship (4RNS). One approach to address this is to classify the landscape by soil and climatic indicators of yield and N loss (Group 1 Variables -regional); this could be refined with more targeted monitoring in zones where a reduction of yield and N loss occurs under a reduced N input regime (Group 2 Variables - locale specific), required to identify more local context-specific factors. Here, we employed the DNDC (DeNitrification DeComposition) model to identify Group 1 and Group 2 Variables for grass yield and N loss, through scenario analysis for three Irish grassland sites for year 2019, with local model parameterisation and a suite of minimum inputs required for reliable performance - identified from existing literature. The study sites were a sandy loam (JCSL) and a loam soil (JCL) site at Johnstown Castle (lower average annual rainfall and daily temperature) and a sandy loam (MP) site at Moorepark. While both MP and JCSL had sandy loam soil, MP a higher bulk density (BD), pH and water filled pore spaces (WFPS) at field capacity (FC) and wilting point (WP) but lower soil organic carbon (SOC) and clay content than JCSL. Based on the scenarios simulated, the NAP resulted in a lower simulated yield (-4.98 % to -15.62 %) and a reduction in ammonia (NH<sub>3</sub>) volatilisation (-29.40 % to -30.35 %), nitrous oxide (N<sub>2</sub>O) emissions (-30.49 to -35.15 %) and nitrate (NO<sub>3</sub><sup>-</sup>) leaching (-55.51 % to -61.38 %). Both Group 1 and 2 Variables for annual yield and N<sub>2</sub>O emissions were soil sand content, BD, SOC and for NH<sub>3</sub> volatilisation, annual rainfall and average annual temperature, for both GB and NAP. The Group 2 Variables for NO<sub>3</sub><sup>-</sup> leaching were soil sand and clay content, pH, annual rainfall and average annual temperature; corresponding Group 1 Variables were found to vary under both GB and NAP.

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Journal
Journal of Environmental Management
Published
2025-08-22
DOI
https://doi.org/10.1016/j.jenvman.2025.127069
Primary Topic
Soil and Water Nutrient Dynamics
Type
article
Field-Weighted Citation Impact
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article

Scenario based modelling approach to inform the spatial refinement of nitrogen management strategies for improving nitrogen use efficiency in Irish grasslands

Sudipto Bhowmik, David M. Wall, Rowan Fealy, Lilian O’Sullivan et al.
Journal of Environmental Management
Soil and Water Nutrient Dynamics
article

Scenario based modelling approach to inform the spatial refinement of nitrogen management strategies for improving nitrogen use efficiency in Irish grasslands

Sudipto Bhowmik, David M. Wall, Rowan Fealy, Lilian O’Sullivan, Réamonn Fealy
article en

Abstract

Current national nitrogen (N) management policies in Ireland, such as the Green Book (GB) and the Fifth Nitrates Action Programme (NAP), do not explicitly consider geographical factors (e.g. weather, soils) that influence nitrogen uptake and loss and which could lead to improved on-farm sustainability, in line with the goals of 4R Nutrient Stewardship (4RNS). One approach to address this is to classify the landscape by soil and climatic indicators of yield and N loss (Group 1 Variables -regional); this could be refined with more targeted monitoring in zones where a reduction of yield and N loss occurs under a reduced N input regime (Group 2 Variables - locale specific), required to identify more local context-specific factors. Here, we employed the DNDC (DeNitrification DeComposition) model to identify Group 1 and Group 2 Variables for grass yield and N loss, through scenario analysis for three Irish grassland sites for year 2019, with local model parameterisation and a suite of minimum inputs required for reliable performance - identified from existing literature. The study sites were a sandy loam (JCSL) and a loam soil (JCL) site at Johnstown Castle (lower average annual rainfall and daily temperature) and a sandy loam (MP) site at Moorepark. While both MP and JCSL had sandy loam soil, MP a higher bulk density (BD), pH and water filled pore spaces (WFPS) at field capacity (FC) and wilting point (WP) but lower soil organic carbon (SOC) and clay content than JCSL. Based on the scenarios simulated, the NAP resulted in a lower simulated yield (-4.98 % to -15.62 %) and a reduction in ammonia (NH<sub>3</sub>) volatilisation (-29.40 % to -30.35 %), nitrous oxide (N<sub>2</sub>O) emissions (-30.49 to -35.15 %) and nitrate (NO<sub>3</sub><sup>-</sup>) leaching (-55.51 % to -61.38 %). Both Group 1 and 2 Variables for annual yield and N<sub>2</sub>O emissions were soil sand content, BD, SOC and for NH<sub>3</sub> volatilisation, annual rainfall and average annual temperature, for both GB and NAP. The Group 2 Variables for NO<sub>3</sub><sup>-</sup> leaching were soil sand and clay content, pH, annual rainfall and average annual temperature; corresponding Group 1 Variables were found to vary under both GB and NAP.

Journal of Environmental ManagementVol. 393
Teagasc - The Irish Agriculture and Food Development Authority (IE), National University of Ireland, Maynooth (IE)
Teagasc
Zero hunger
Openalex Percentile: Top 82%
Soil and Water Nutrient Dynamics
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