Lowering foliage nitrogen contents reduces N2O emissions in grazed pastures: An emission factor-based modelling assessment constrained by eddy covariance measurements

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Lìyǐn L. Liáng , Aaron M. Wall , Donna L. Giltrap , Miko U.F. Kirschbaum , Jordan P. Goodrich , David I. Campbell , Louis A. Schipper
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引用次数: 0

Abstract

Context

Modern agriculture faces the challenge of maintaining production while reducing environmental impacts, particularly nitrogen (N) pollution from grazed pastures. Recent research has suggested introducing low foliage N content species, such as plantain, into traditional ryegrass/white clover pastures as a potential solution.

Objective

This study aimed to evaluate the effect of lowering foliage N contents in pasture-based grazing systems on excretal N deposition from grazing animals and subsequent nitrous oxide (N2O) emissions by using a combination of field measurements and process-based modelling. We further explored potential management options that could be beneficial for reducing N2O emissions by changing the N content in feed for grazing animals.

Methods

We used eddy covariance measurements to parameterise carbon and water fluxes in the process-based model CenW. We estimated site-specific excretal emission factors, which were derived from continuous N2O emission measurements using eddy covariance and modelled excretal N deposition from CenW, to simulate the effects of lowering foliage N content on N2O emissions.

Results and conclusions

The model accurately captured carbon and water cycling at the site, with Nash-Sutcliffe model efficiencies ranging from 0.50 to 0.87. Decreasing foliage N content from 41 to 31 g N kg DM−1 in pasture-based grazing systems reduced annual N2O emissions by approximately 36 %. Modifying excretal N partitioning showed that increasing N excretion through dung rather than urine by 1 g N per kg dry matter intake reduced N2O emissions by only 3.1 %.

Significance

Our findings demonstrate that management practices focusing on reducing urine N contents through the inclusion of feeds with lower N contents can be highly effective for mitigating N2O emissions in grazed pastures, as urine N is the primary pathway for these emissions.

Abstract Image

降低叶片氮含量可减少放牧牧场的N2O排放:受涡动相关测量约束的基于排放因子的建模评估
现代农业面临着在保持生产的同时减少环境影响的挑战,特别是放牧牧场的氮污染。最近的研究表明,在传统的黑麦草/白三叶草牧场引入低氮含量的植物,如车前草,是一个潜在的解决方案。本研究旨在通过野外测量和基于过程的模拟相结合,评估放牧系统中降低叶片氮含量对放牧动物粪便氮沉积和随后的氧化亚氮(N2O)排放的影响。我们进一步探索了通过改变放牧动物饲料中的N含量来减少N2O排放的潜在管理方案。方法在基于过程的CenW模式中,采用涡动相关测量对碳通量和水通量进行参数化。研究人员利用涡动相关方法估算了特定地点的粪便排放因子,该因子来源于连续的N2O排放测量,并模拟了CenW的粪便N沉积,以模拟降低叶片N含量对N2O排放的影响。结果与结论该模型准确地捕获了现场的碳和水循环,Nash-Sutcliffe模型效率在0.50 ~ 0.87之间。在以牧场为基础的放牧系统中,将叶片氮含量从41 g N kg DM−1降低到31 g N kg DM−1,可使N2O年排放量减少约36%。改变粪便N分配表明,通过粪便而不是尿液每公斤干物质摄入量增加1 g N, N2O排放量仅减少3.1%。我们的研究结果表明,通过添加氮含量较低的饲料来减少尿氮含量的管理实践可以非常有效地减少放牧牧场的N2O排放,因为尿氮是这些排放的主要途径。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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