Refinement of techniques and evaluation of options to reduce greenhouse gas emissions from ruminant production systems in Brazil and the UK
Refinement of techniques and evaluation of options to reduce greenhouse gas emissions from ruminant production systems in Brazil and the UK
批准号:
NE/N000935/1
负责人:
Bob Rees
金额:
$3.95万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --
中文摘要
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英文摘要
Methane emissions from ruminant livestock make up a significant proportion of the emissions of greenhouse gas emissions from agriculture. Reductions of emissions from this sector depend heavily on improvements in measurements on which to base mitigation strategies. The UK and Brazil are currently developing state -of-the -art facilities for the measurement of methane from livestock using a range of experimental approaches. As a consequence o f the high priority linked to this research, the science is developing rapidly, and international collaboration is a highly affective route to accelerating progress.Development and standardisation of methods for measuring methane emissions under a wide range of conditions (grazing/indoors; high- and low-production intensity; feed/fertiliser imported into the systems or not) is the first issue to consider in this project. This requires exchange of researchers to gain experience of the different methods and production systems. Researchers will work alongside ongoing studies using the various methane emissions measurements systems in:UK: respiration chambers; 'sniffer' hoods; laser methane gun; and methane proxies (work on methanogen membrane lipids and hydrogen isotopic fractionation).Brazil: extensive systems and crop-livestock-forestry systems measurements (enteric methane using SF6 tracer technique, soil N2O, CH4 and CO2 using static closed chamber method) in the Pecus Network.Specific objectives of the work on methane methods are:Standardisation of methodologies for measuring methane emissions from housed and grazing cattle in the UK and Brazil. Bringing together independent evaluations of techniques conducted in each country to identify potential improvements. Output: review paperIdentifying potential for new methane measurement approaches for use with free-grazing cattle. This will involve reviewing techniques currently used with grazing cattle (sulphur hexafluoride; SF6) and other methods under development (mobile sensors and proxy techniques). Output: plan for a joint research programme to develop the approach.Developing methods for combined measurements of heat stress and methane production - refining use of respiration chambers to move from 'GHG mitigation' to 'GHG adaptation' research. Output: technical report.A second challenge that will be addressed is the fact that effects on methane emissions per cow may be negated when the full GHG costs associated with a particular treatment are taken into account. This requires a systematic approach to modelling methane emissions that takes account of wider emissions (e.g. in the production of feed and fertiliser used in the system). We will adopt a Tier 2 Emissions Framework modelling approach (with some Tier 1 values for carbon dioxide and nitrous oxide) to evaluate mitigation options from previous studies in each country. Output: modelling paper.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Improving agricultural inventories of GHG emissions: A UK case study
改善农业温室气体排放清单:英国案例研究
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
[Rees RM]
通讯作者:
Rees RM
DOI:
10.1016/j.jclepro.2017.06.197
发表时间:
2017-10
期刊:
Journal of Cleaner Production
影响因子:
11.1
作者:
[Alasdair J. Sykes;C. Topp;Ronald Wilson;Gillian Reid;R. Rees]
通讯作者:
Alasdair J. Sykes;C. Topp;Ronald Wilson;Gillian Reid;R. Rees
Generating Regional Emissions Estimates with a Novel Hierarchy of Observations and Upscaled Simulation Experiments
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批准号:NE/K002503/1
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项目类别:Research Grant
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资助金额:$22.4万
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财政年份:2013
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负责人:Bob Rees
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依托单位:
国内基金
海外基金
EstimatingLarge Demand Systems with MachineLearning Techniques
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批准号:--
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项目类别:外国学者研究基金
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资助金额:--
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批准年份:2024
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负责人:IoshuaAlex
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依托单位:
计算电磁学高稳定度辛算法研究
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批准号:60931002
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项目类别:重点项目
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资助金额:200.0万元
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批准年份:2009
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负责人:吴先良
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依托单位: