A review of whole farm-system analysis in evaluating greenhouse-gas mitigation strategies from livestock production systems

2018 ◽  
Vol 58 (6) ◽  
pp. 980 ◽  
Author(s):  
Richard Rawnsley ◽  
Robyn A. Dynes ◽  
Karen M. Christie ◽  
Matthew Tom Harrison ◽  
Natalie A. Doran-Browne ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Production Systems ◽  
Ghg Emissions ◽  
Livestock Production ◽  
Mitigation Strategies ◽  
System Level ◽  
Food Demand ◽  
Ghg Mitigation ◽  
Farm System ◽  
Global Food

Recognition is increasingly given to the need of improving agricultural production and efficiency to meet growing global food demand, while minimising environmental impacts. Livestock forms an important component of global food production and is a significant contributor to anthropogenic greenhouse-gas (GHG) emissions. As such, livestock production systems (LPS) are coming under increasing pressure to lower their emissions. In developed countries, LPS have been gradually reducing their emissions per unit of product (emissions intensity; EI) over time through improvements in production efficiency. However, the global challenge of reducing net emissions (NE) from livestock requires that the rate of decline in EI surpasses the productivity increases required to satisfy global food demand. Mechanistic and dynamic whole farm-system models can be used to estimate farm-gate GHG emissions and to quantify the likely changes in farm NE, EI, farm productivity and farm profitability as a result of applying various mitigation strategies. Such models are also used to understand the complex interactions at the farm-system level and to account for how component mitigation strategies perform within the complexity of these interactions, which is often overlooked when GHG mitigation research is performed only at the component level. The results of such analyses can be used in extension activities and to encourage adoption, increase awareness and in assisting policy makers. The present paper reviews how whole farm-system modelling has been used to assess GHG mitigation strategies, and the importance of understanding metrics and allocation approaches when assessing GHG emissions from LPS.

scholarly journals Greenhouse Gas Emissions from Livestock Manure Management in Southwestern Siberia, Russia

2017 ◽  
Vol 6 (2) ◽  
pp. 66 ◽  
Author(s):  
Maria Storrle ◽  
Hans-Jorg Brauckmann ◽  
Gabriele Broll
Keyword(s):  
Environmental Pollution ◽  
Greenhouse Gas ◽  
Production Systems ◽  
Ghg Emissions ◽  
Stocking Density ◽  
Livestock Production ◽  
Nitrous Oxide Emissions ◽  
Forest Steppe ◽  
Small Farms ◽  
Tyumen Oblast

This study investigates the amounts of greenhouse gas (GHG) emissions due to manure handling within different livestock production systems in Tyumen oblast of Western Siberia. Tyumen oblast occupies approx. 160 000 km² of Asian taiga and forest steppe. The amount of GHGs from manure was calculated as a function of the handling according to current IPCC guidelines for ecozones and livestock production systems. The entire Tyumen oblast has annual 7 400 t methane emissions and 440 t nitrous oxide emissions from manure. Three livestock production systems are prevalent in Tyumen oblast: Mega farms, small farms and peasant farms. The share of mega farms is 81 % (171 kt CO2 eq). Additionally, the slurry system in mega farms causes environmental pollution. GHG emissions and environmental pollution could be reduced by implementing solid manure systems or pasturing, by installing storage facilities for slurry outside the stables and through application of the manure as fertiliser at mega farms. In small farms solid manure systems and a small stocking density of livestock lead to smallest GHG emissions (1 %, 3 kt CO2 eq) from manure. In peasant farming 18 % (38 kt CO2 eq) of GHGs are emitted due to pasturing. 

scholarly journals A harmonised systems-wide re-analysis of greenhouse gas emissions from sunflower oil production

2020 ◽  
Author(s):  
Thomas D Alcock ◽  
David E Salt ◽  
Stephen J Ramsden
Keyword(s):  
Greenhouse Gas ◽  
Sunflower Oil ◽  
Food Systems ◽  
Production Systems ◽  
Ghg Emissions ◽  
Oil Production ◽  
Life Cycle Inventory Data ◽  
Oil Crops ◽  
Fertiliser Use ◽  
Global Food

AbstractSunflower (Helianthus annuus L.) is the largest source of vegetable oil in Europe and the fourth largest globally. Intensive cultivation and post-harvest steps contribute to global food-systems’ greenhouse gas (GHG) emissions. However, variation between production systems and reporting disparity have resulted in discordance in previous emissions estimates. To assess systems-wide GHG implications of meeting increasing edible oil demand using sunflower, we performed a unified re-analysis of primary life cycle inventory data, representing 995 farms in 11 countries, from a saturating search of published literature. Total GHG emissions varied from 1.1 to 4.2 kg CO2-equivalent per kg oil across systems, 62% of which originated from cultivation. Major emissions sources included diesel- and fertiliser-use, with irrigation electricity contributing most to between-systems variation. Our harmonised, cross-study re-analysis not only enabled robust comparisons and identification of mitigation opportunities across sunflower oil production systems, but also lays the groundwork for comparisons between alternative oil crops.

scholarly journals Challenges and opportunities for quantifying greenhouse gas emissions through dairy cattle research in developing countries

2021 ◽  
Vol 88 (1) ◽  
pp. 3-7
Author(s):  
Sineka Munidasa ◽  
Richard Eckard ◽  
Xuezhao Sun ◽  
Brendan Cullen ◽  
David McGill ◽  
...  
Keyword(s):  
Developing Countries ◽  
Greenhouse Gas ◽  
Developing Country ◽  
Production Systems ◽  
Ghg Emissions ◽  
Developed Countries ◽  
Mitigation Strategies ◽  
Dairy Production ◽  
Challenges And Opportunities ◽  
Emission Estimation

AbstractThe global dairy sector is facing the challenge of reducing greenhouse gas (GHG) emissions whilst increasing productivity to feed a growing population. Despite the importance of this challenge, many developing countries do not have the required resources, specifically funding, expertise and facilities, for quantifying GHG emissions from dairy production and research. This paper aims to address this challenge by discussing the magnitude of the issue, potential mitigation approaches and benefits in quantifying GHG emissions in a developing country context. Further, the paper explores the opportunities for developing country dairy scientists to leverage resources from developed countries, such as using existing relevant GHG emission estimation models. It is clear that further research is required to support developing countries to quantify and understand GHG emissions from dairy production, as it brings significant benefits including helping to identify and implement appropriate mitigation strategies for local production systems, trading carbon credits and achieving the nationally determined contribution obligations of the Paris Agreement.

GHG mitigation potential of agricultural management practises on mineral and organic soils

2021 ◽  
Author(s):  
Saara Lind ◽  
Marja Maljanen ◽  
Merja Myllys ◽  
Mari Räty ◽  
Sanna Kykkänen ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Agricultural Soils ◽  
Mineral Soil ◽  
Ghg Emissions ◽  
Grassland Management ◽  
Organic Soils ◽  
Carbon Dioxide Exchange ◽  
Ghg Mitigation ◽  
Nutrient Quality ◽  
Effect On Yield

<p>Agricultural soils are a significant source of greenhouse gas (GHG) emissions. To study these emissions, we are currently building three research platforms that consist of full eddy covariance instrumentation for determination of net ecosystem carbon dioxide exchange and fluxes of methane and nitrous oxide. These platforms will be completed with supporting weather, plant and soil data collection. Two of our platforms are sites on organic soils with a thick peat layer (>60 cm) and the third one is on a mineral soil (silt loam). To study the role of the grassland management practises at these sites, we have initiated ORMINURMI-project. Here, we will characterise the effects of ground water table (high vs. low), crop renewal methods (autumn vs. summer) and plant species (tall fescue vs. red glover grass) on greenhouse gas budgets of grass production. Also effect on yield amount and nutrient quality will be determined. In this presentation, we will present the preliminary data collected at these research platforms and our plans for the use of these data in the coming years.</p>

scholarly journals Greenhouse gas emissions profiles of neighbourhoods in Durban, South Africa – an initial investigation

2017 ◽  
Vol 30 (1) ◽  
pp. 191-214 ◽  
Author(s):  
Meryl Jagarnath ◽  
Tirusha Thambiran
Keyword(s):  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Mitigation Strategies ◽  
Low Carbon ◽  
Economic Activities ◽  
Emissions Inventory ◽  
High Emission ◽  
Development Goals ◽  
Reduce Emissions ◽  
The City

Because current emissions accounting approaches focus on an entire city, cities are often considered to be large emitters of greenhouse gas (GHG) emissions, with no attention to the variation within them. This makes it more difficult to identify climate change mitigation strategies that can simultaneously reduce emissions and address place-specific development challenges. In response to this gap, a bottom-up emissions inventory study was undertaken to identify high emission zones and development goals for the Durban metropolitan area (eThekwini Municipality). The study is the first attempt at creating a spatially disaggregated emissions inventory for key sectors in Durban. The results indicate that particular groups and economic activities are responsible for more emissions, and socio-spatial development and emission inequalities are found both within the city and within the high emission zone. This is valuable information for the municipality in tailoring mitigation efforts to reduce emissions and address development gaps for low-carbon spatial planning whilst contributing to objectives for social justice.

Effect of wheat varieties and growth regulators on soil greenhouse gas emissions

2021 ◽  
Author(s):  
Elsbe von der Lancken ◽  
Victoria Nasser ◽  
Katharina Hey ◽  
Stefan Siebert ◽  
Ana Meijide
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Greenhouse Gas ◽  
Growth Regulators ◽  
Production Systems ◽  
Ghg Emissions ◽  
Closed Chamber ◽  
Wheat Varieties ◽  
The Impact ◽  
Modern Varieties

<p>The need to sustain global food demand while mitigating greenhouse gases (GHG) emissions is a challenge for agricultural production systems. Since the reduction of GHGs has never been a breeding target, it is still unclear to which extend different crop varieties will affect GHG emissions. The objective of this study was to evaluate the impact of N-fertilization and of the use of growth regulators applied to three historical and three modern varieties of winter wheat on the emissions of the three most important anthropogenic GHGs, i.e. carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O). Furthermore, we aimed at identifying which combination of cultivars and management practises could mitigate GHG emissions in agricultural systems without compromising the yield. GHG measurements were performed using the closed chamber method in a field experiment located in Göttingen (Germany) evaluating three historical and three modern winter wheat varieties, with or without growth regulators under two fertilization levels (120 and 240 kg nitrogen ha<sup>-1</sup>). GHG measurements were carried out for 2 weeks following the third nitrogen fertilizer application (where one third of the total nitrogen was applied), together with studies on the evolution of mineral nitrogen and dissolved organic carbon in the soil. Modern varieties showed significantly higher CO<sub>2</sub> emissions (i.e. soil and plant respiration; +23 %) than historical varieties. The soils were found to be a sink for CH<sub>4,</sub> but CH<sub>4</sub> fluxes were not affected by the different treatments. N<sub>2</sub>O emissions were not significantly influenced by the variety age or by the growth regulators, and emissions increased with increasing fertilization level. The global warming potential (GWP) for the modern varieties was 7284.0 ± 266.9 kg CO<sub>2-eq</sub> ha<sup>-1</sup>. Even though the GWP was lower for the historic varieties (5939.5 ± 238.2 kg CO<sub>2</sub>-<sub>eq</sub> ha<sup>-1</sup>), their greenhouse gas intensity (GHGI), which relates GHG and crop yield, was larger (1.5 ± 0.3 g CO<sub>2</sub>-<sub>eq</sub> g<sup>-1</sup> grain), compared to the GHGI of modern varieties (0.9 ± 0.0 g CO<sub>2</sub>-<sub>eq</sub> g<sup>-1</sup> grain), due to the much lower grain yield in the historic varieties. Our results suggest that in order to mitigate GHG emissions without compromising the grain yield, the best management practise is to use modern high yielding varieties with growth regulators and a fertilization scheme according to the demand of the crop.</p>

scholarly journals Prioritising agri-environment options for greenhouse gas mitigation

2017 ◽  
Vol 9 (1) ◽  
pp. 104-122 ◽  
Author(s):  
Douglas Warner ◽  
John Tzilivakis ◽  
Andrew Green ◽  
Kathleen Lewis
Keyword(s):  
Greenhouse Gas ◽  
Crop Yield ◽  
Agricultural Land ◽  
Ghg Emissions ◽  
Greenhouse Gas Mitigation ◽  
Intergovernmental Panel ◽  
Ghg Mitigation ◽  
Content Type ◽  
Erosion Risk ◽  
Lower Priority

Purpose This paper aims to assess agri-environment (AE) scheme options on cultivated agricultural land in England for their impact on agricultural greenhouse gas (GHG) emissions. It considers both absolute emissions reduction and reduction incorporating yield decrease and potential production displacement. Similarities with Ecological Focus Areas (EFAs) introduced in 2015 as part of the post-2014 Common Agricultural Policy reform, and their potential impact, are considered. Design/methodology/approach A life-cycle analysis approach derives GHG emissions for 18 key representative options. Meta-modelling is used to account for spatial environmental variables (annual precipitation, soil type and erosion risk), supplementing the Intergovernmental Panel on Climate Change methodology. Findings Most options achieve an absolute reduction in GHG emissions compared to an existing arable crop baseline but at the expense of removing land from production, risking production displacement. Soil and water protection options designed to reduce soil erosion and nitrate leaching decrease GHG emissions without loss of crop yield. Undersown spring cereals support decreased inputs and emissions per unit of crop yield. The most valuable AE options identified are included in the proposed EFAs, although lower priority is afforded to some. Practical implications Recommendations are made where applicable to modify option management prescriptions and to further reduce GHG emissions. Originality/value This research is relevant and of value to land managers and policy makers. A dichotomous key summarises AE option prioritisation and supports GHG mitigation on cultivated land in England. The results are also applicable to other European countries.

scholarly journals Medium-run projections for greenhouse gas emissions arising from agriculture: the case of milk production in Estonia

2015 ◽  
Vol 24 (4) ◽  
Author(s):  
Jelena Ariva ◽  
Ants Hannes Viira ◽  
Reet Põldaru ◽  
Jüri Roots
Keyword(s):  
Greenhouse Gas ◽  
Milk Production ◽  
Agricultural Production ◽  
Ghg Emissions ◽  
Market Model ◽  
Ghg Emission ◽  
Medium Term ◽  
National Economic ◽  
Model Context ◽  
Global Food

In order to respond to increasing global food demand and provide for national economic growth, the Estonian Dairy Strategy for 2012−2020 aims to achieve a 30% growth in milk production. At the same time, there is a global attempt to reduce greenhouse gas (GHG) emissions. This paper analyses the medium-term (2015−2020) projections for milk production and associated GHG emissions from dairy cows in Estonia. The FAPRI-GOLD type market model of Estonian agriculture, which is used for projections of agricultural production, was supplemented with a module that helps project GHG emissions. The paper demonstrates the endogenisation of GHG emission factors in a relatively general agricultural market model context. The results imply that increasing milk production by 30% by 2020 would jeopardise Estonia’s commitments with regard to agricultural GHG emissions. However, the average GHG emission per tonne of produced milk will decline, thus reducing the “carbon footprint” of milk production.

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