scholarly journals Carbon Footprint Assessment of Spanish Dairy Cattle Farms: Effectiveness of Dietary and Farm Management Practices as a Mitigation Strategy

Animals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 2083
Author(s):  
Ridha Ibidhi ◽  
Sergio Calsamiglia
Keyword(s):  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Management Practices ◽  
Ghg Emissions ◽  
System Model ◽  
Feeding Strategies ◽  
Management Scenarios ◽  
Dietary Practices ◽  
Enteric Methane ◽  
Increase Milk Production

Greenhouse gas emissions and the carbon footprint (CF) were estimated in twelve Spanish dairy farms selected from three regions (Mediterranean, MED; Cantabric, CAN; and Central, CEN) using a partial life cycle assessment through the Integrated Farm System Model (IFSM). The functional unit was 1 kg of energy corrected milk (ECM). Methane emissions accounted for the largest contribution to the total greenhouse gas (GHG) emissions. The average CF (kg CO2-eq/kg of ECM) was 0.84, being the highest in MED (0.98), intermediate in CEN (0.84), and the lowest in CAN (0.67). Two extreme farms were selected for further simulations: one with the highest non-enteric methane (MED1), and another with the highest enteric methane (CAN2). Changes in management scenarios (increase milk production, change manure collection systems, change manure-type storage method, change bedding type and installation of an anaerobic digester) in MED1 were evaluated with the IFSM model. Changes in feeding strategies (reduce the forage: concentrate ratio, improve forage quality, use of ionophores) in CAN2 were evaluated with the Cornell Net Carbohydrate and Protein System model. Results indicate that changes in management (up to 27.5% reduction) were more efficient than changes in dietary practices (up to 3.5% reduction) in reducing the carbon footprint.

scholarly journals Trends in greenhouse gas emissions from dairy cattle in Mexico between 1970 and 2010

2014 ◽  
Vol 54 (3) ◽  
pp. 292 ◽  
Author(s):  
J. A. Rendón-Huerta ◽  
J. M. Pinos-Rodríguez ◽  
J. C. García-López ◽  
L. G. Yáñez-Estrada ◽  
E. Kebreab
Keyword(s):  
Dairy Cows ◽  
Greenhouse Gas ◽  
Environmental Protection Agency ◽  
Emission Intensity ◽  
Management Practices ◽  
Ghg Emissions ◽  
N2o Emission ◽  
Feed Conversion ◽  
Intergovernmental Panel ◽  
Enteric Methane

The objective of the present work was to estimate and assess trends in greenhouse gas (GHG) emissions, particularly methane (CH4) and nitrous oxide (N2O), from dairy cows in Mexico from the base year of 1970 to 2010. Empirical and mechanistic models were used to estimate enteric methane emissions based on chemical composition of diets. Methane from manure was calculated using Intergovernmental Panel for Climate Change (IPCC) and US Environmental Protection Agency recommended equations. N2O emission was calculated according to IPCC recommendations. Compared with the 1970s, current management practices using modern dairy cows increased feed conversion efficiency 32% and milk yield 62%. GHG emission intensity (i.e. emissions per unit of product) was reduced 30%, 25% and 30% for CH4, N2O and total emissions, respectively. The study showed that although GHG emissions in absolute terms increased in the past 40 years, emission intensity decreased due to higher level of production. This trend is likely to continue in the future, assuming milk production follows the same increasing trend as in other countries in North America.

scholarly journals Evaluation of a Novel Poultry Litter Amendment on Greenhouse Gas Emissions

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 563
Author(s):  
Kelsey Anderson ◽  
Philip A. Moore ◽  
Jerry Martin ◽  
Amanda J. Ashworth
Keyword(s):  
Air Quality ◽  
Greenhouse Gas ◽  
Co2 Emissions ◽  
Management Practices ◽  
Block Design ◽  
Poultry Litter ◽  
Ghg Emissions ◽  
Nitrous Oxide Emissions ◽  
Gaseous Emissions ◽  
Poultry Facilities

Gaseous emissions from poultry litter causes production problems for producers as well as the environment, by contributing to climate change and reducing air quality. Novel methods of reducing ammonia (NH3) and greenhouse gas (GHG) emissions in poultry facilities are needed. As such, our research evaluated GHG emissions over a 42 d period. Three separate flocks of 1000 broilers were used for this study. The first flock was used only to produce litter needed for the experiment. The second and third flocks were allocated to 20 pens in a randomized block design with four replicated of five treatments. The management practices studied included an unamended control; a conventional practice of incorporating aluminum sulfate (referred to as alum) at 98 kg/100 m2); a novel litter amendment made from alum mud, bauxite, and sulfuric acid (alum mud litter amendment, AMLA) applied at different rates (49 and 98 kg/100 m2) and methods (surface applied or incorporated). Nitrous oxide emissions were low for all treatments in flocks 2 and 3 (0.40 and 0.37 mg m2 hr−1, respectively). The formation of caked litter (due to excessive moisture) during day 35 and 42 caused high variability in CH4 and CO2 emissions. Alum mud litter amendment and alum did not significantly affect GHGs emissions from litter, regardless of the amendment rate or application method. In fact, litter amendments such as alum and AMLA typically lower GHG emissions from poultry facilities by reducing ventilation requirements to maintain air quality in cooler months due to lower NH3 levels, resulting in less propane use and concomitant reductions in CO2 emissions.

Making the world’s longest subsea tunnel sustainable

2018 ◽  
Author(s):  
Ketil Søyland ◽  
Christer Wolden ◽  
Christopher Garmann ◽  
Debbie Harrison
Keyword(s):  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Large Scale ◽  
Ghg Emissions ◽  
Infrastructure Projects ◽  
Subsea Tunnel ◽  
Engineering Practices

<p>How can large-scale infrastructure projects be sustainable? The purpose of this paper is to discuss how engineering practices were changed in order to reduce the carbon footprint of the E39 Rogfast project, the world’s longest roadway sub-sea tunnel. The project will generate greenhouse gas (GHG)-emissions exceeding 1% of Norway’s total annual GHG-emissions. The paper covers the project process, including some of the challenges to be overcome.</p>

How can grass-based dairy farmers reduce the carbon footprint of milk?

2016 ◽  
Vol 56 (3) ◽  
pp. 495 ◽  
Author(s):  
D. O'Brien ◽  
A. Geoghegan ◽  
K. McNamara ◽  
L. Shalloo
Keyword(s):  
Milk Production ◽  
Carbon Footprint ◽  
Economic Value ◽  
Ghg Emissions ◽  
Mitigation Strategies ◽  
Quota System ◽  
Dairy Farmers ◽  
Increase Milk Production ◽  
Fertiliser Use ◽  
Milk Solids

The Irish dairy industry aims to increase milk production from grass-based farms following the removal of the EU milk-quota system, but is also required to minimise greenhouse gas (GHG) emissions to meet European reduction targets. Consequently, the sector is under increasing pressure to reduce GHG emissions per unit of milk, or carbon footprint (CF). Therefore, the goal of the present study was to determine the main sources of the CF of grass-based milk production and to identify mitigation strategies that can be applied to reduce farm footprints. In total, the CF of milk was estimated for 62 grass-based dairy farms in 2014. The method used to quantify GHG emissions was a life cycle assessment (LCA), independently certified to comply with the British standard for LCA (PAS 2050). The LCA method was applied to calculate annual on- and off-farm GHG emissions associated with dairy production until milk was sold from the farm in CO2-equivalent (CO2-eq). Annual GHG emissions computed using LCA were allocated to milk on the basis of the economic value of dairy products and expressed per kilogram of fat- and protein-corrected milk to estimate CF. Enteric methane was the main source of the CF of milk (46%), followed by emissions from inorganic N fertilisers (16%), manure (16%) and concentrate feedstuffs (8%). The mean CF of milk from the 62 farms was 1.26 kg of CO2-eq per kilogram of fat- and protein-corrected milk, but varied from 0.98 kg to 1.67 kg as measured using the 95% confidence interval. The CF of milk was correlated with numerous farm attributes, particularly N-fertiliser, the percentage of grazed grass in the diet, and production of milk solids. Grass-based dairy farmers can significantly improve these farm attributes by increasing herd genetic merit, extending the length of the grazing season and optimising N fertiliser use and, thereby, reduce the CF of milk.

Simulations of greenhouse gas emissions and soil organic carbon with ECOSSE for a rice field in Northern Italy

2020 ◽  
Author(s):  
Matthias Kuhnert ◽  
Viktoria Oliver ◽  
Andrea Volante ◽  
Stefano Monaco ◽  
Yit Arn Teh ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Management Practices ◽  
Ghg Emissions ◽  
Gas Emissions ◽  
Model Experiments ◽  
Below Ground

&lt;p&gt;Rice cultivation has high water consumption and emits large quantities of greenhouse gases. Therefore, rice fields provide great potential to mitigate GHG emissions by modifications to cultivation practices or external inputs. Previous studies showed differences for impacts of alternated wetting and drying (AWD) practices for above-ground and below-ground biomass, which might have long term impacts on soil organic carbon stocks. The objective of this study is to parameterise and evaluate the model ECOSSE for rice simulations based on data from an Italian rice test site where the effects of different water management practices and 12 common European cultivars, on yield and GHG emissions, were investigated. Special focus is on the differences of the impacts on the greenhouse gas emissions for AWD and continuous flooding (CF). The model is calibrated and tested for field measurements and is used for model experiments to explore climate change impacts and long-term effects. Long term carbon storage is of particular interest since it is a suitable mitigation strategy. As experiments showed different impacts of management practices on the below ground biomass, long term model experiments are used to estimate impacts on SOC of the different practices. The measurements also allow an analysis of the impacts of different cultivars and the uncertainty of model approaches using a single data set for calibration.&lt;/p&gt;

Carbon Footprint Analysis of an Educational Institution

2015 ◽  
Vol 787 ◽  
pp. 187-191
Author(s):  
P.M. Sivaram ◽  
N. Gowdhaman ◽  
D.Y. Ebin Davis ◽  
M. Subramanian
Keyword(s):  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Greenhouse Gas Emission ◽  
Educational Institution ◽  
Ghg Emissions ◽  
Liquefied Petroleum Gas ◽  
Diesel Generator ◽  
Working Paper ◽  
Corporate Carbon Footprint ◽  
The Impact

Global warming and climate change are the foremost environmental challenges facing the world today. It is our responsibility to minimize the consumption of energy and hence reduce the emissions of greenhouse gases. Companies choose ‘Carbon Footprint’ as a tool to calculate the greenhouse gas emission to show the impact of their activities on the environment. In this working paper, we assess the carbon foot print of an educational institution and suggest suitable measures for reducing it. Greenhouse gas emitting protocol for an academic institution in terms of tones of equivalent CO2 per year is projected using three basic steps includes planning (assessment of data’s), calculation and estimation of CO2 emitted. The estimation of carbon foot print is calculated by accounting direct emission from sources owned/controlled by the educational institution and from indirect emission i.e. purchased electricity, electricity produced by diesel Generator (DG), transport, cooking (Liquefied Petroleum Gas) and other outsourced distribution. The CO2 absorbed by trees are also accounted. Some of the options are identified in order to reduce CO2 level. The information of corporate carbon footprint helps us identifying the Green House Gases (GHG) emission “hot spots” and identifies where the greatest capacity exists in order to reduce the GHG emissions. The main prioritization goes to transport and then followed by DG, cooking and then electricity. The per capita CO2 emission and the total CO2 emission for a typical educational institution are estimated.

scholarly journals Net reductions in greenhouse gas emissions from feed additive use in California dairy cattle

2020 ◽  
Author(s):  
Xiaoyu Feng ◽  
Ermias Kebreab
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Crop Production ◽  
Greenhouse Gas Emission ◽  
Feed Additives ◽  
Feed Additive ◽  
Dairy Production ◽  
Gas Emissions ◽  
Enteric Methane

AbstractThe livestock industry is one of the main contributors to greenhouse gas emissions and there is an increasing demand for the industry to reduce its carbon footprint. Several studies have shown that feed additives 3-nitroxypropanol and nitrate to be effective in reducing enteric methane emissions. The objective of this study was to estimate the net mitigating effect of using 3-nitroxypropanol and nitrate on total greenhouse gas emissions in California dairy industry. A life cycle assessment approach was used to conduct a cradle-to-farm gate environmental impact analysis based on dairy production system in California. Emissions associated with crop production, feed additive production, enteric methane, farm management, and manure storage were calculated and expressed as kg CO2 equivalents (CO2e) per kg of energy corrected milk. The total greenhouse gas emissions from baseline, two 3-nitroxypropanol and three nitrate scenarios were 1.12, 0.993, 0.991, 1.08, 1.07, and 1.09 kg CO2e/kg energy corrected milk. The average net reduction rates for 3-nitroxypropanol and nitrate were 11.7% and 3.95%, respectively. In both cases, using the feed additives on the whole herd slightly improved overall carbon footprint reduction compared to limiting its use during lactation phase. Although both 3-nitroxypropanol and nitrate had effects on decreasing the total greenhouse gas emission, the former was much more effective with no known safety issues in reducing the carbon footprint of dairy production in California.

scholarly journals Climate-Smart Agriculture Practices for Mitigating Greenhouse Gas Emissions

2021 ◽  
pp. 303-328
Author(s):  
M. Zaman ◽  
K. Kleineidam ◽  
L. Bakken ◽  
J. Berendt ◽  
C. Bracken ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Agricultural Production ◽  
Management Practices ◽  
Ghg Emissions ◽  
Crop Productivity ◽  
Agricultural Management ◽  
Natural Ecosystems ◽  
Soil C ◽  
Organic Fertilisers ◽  
Smart Agriculture

AbstractAgricultural lands make up approximately 37% of the global land surface, and agriculture is a significant source of greenhouse gas (GHG) emissions, including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). Those GHGs are responsible for the majority of the anthropogenic global warming effect. Agricultural GHG emissions are associated with agricultural soil management (e.g. tillage), use of both synthetic and organic fertilisers, livestock management, burning of fossil fuel for agricultural operations, and burning of agricultural residues and land use change. When natural ecosystems such as grasslands are converted to agricultural production, 20–40% of the soil organic carbon (SOC) is lost over time, following cultivation. We thus need to develop management practices that can maintain or even increase SOCstorage in and reduce GHG emissions from agricultural ecosystems. We need to design systematic approaches and agricultural strategies that can ensure sustainable food production under predicted climate change scenarios, approaches that are being called climate‐smart agriculture (CSA). Climate‐smart agricultural management practices, including conservation tillage, use of cover crops and biochar application to agricultural fields, and strategic application of synthetic and organic fertilisers have been considered a way to reduce GHG emission from agriculture. Agricultural management practices can be improved to decreasing disturbance to the soil by decreasing the frequency and extent of cultivation as a way to minimise soil C loss and/or to increase soil C storage. Fertiliser nitrogen (N) use efficiency can be improved to reduce fertilizer N application and N loss. Management measures can also be taken to minimise agricultural biomass burning. This chapter reviews the current literature on CSA practices that are available to reduce GHG emissions and increase soil Csequestration and develops a guideline on best management practices to reduce GHG emissions, increase C sequestration, and enhance crop productivity in agricultural production systems.

scholarly journals Carbon footprint of lentil in old Brahmaputra floodplain soil

2016 ◽  
Vol 27 (2) ◽  
pp. 162-167
Author(s):  
ME Haq ◽  
MA Kader ◽  
S Farhan
Keyword(s):  
Carbon Footprint ◽  
Best Management Practices ◽  
Food Production ◽  
Crop Production ◽  
Management Practices ◽  
Ghg Emissions ◽  
Production Capacity ◽  
Low Carbon ◽  
Floodplain Soil ◽  
Science Field

Crop production has contributed significantly to global carbon footprint (CF). Characterizing the carbon footprint of agricultural production offers key information for achieving low carbon agriculture. Bangladesh has struggled for long and worked hard for increasing food production capacity for its large growing population. It is necessary to choose the crops and management practices which have low CF to maintain a win-win situation between food production and greenhouse gas (GHG) emissions. However, the CF of Bangladesh’s crop production has not yet been assessed. Therefore, this study was conducted to estimate the CF of lentil as one of the major legumes cultivated in Bangladesh. The crop was cultivated at the Soil Science Field Laboratory of Bangladesh Agricultural University (BAU) Farm, Mymensingh i.e. Agro-ecological zone (AEZ 9) during November, 2013 to April, 2014 by following standard management practices. The Carbon footprint was calculated by using the collected emission factors from literature as default values for each input and operation used for the production of crops as per guideline of ISO (2006) and IPCC (2006). The GHG emissions in the crop fields are taken from the studies of Pathak and Aggarwal (2012). The yield of lentil was 0.90 t ha-1 with a CF of 406 kg CO2-equivalentst-1 of lentil. Direct and indirect GHG emissions singly contributed the half of CF accounting 52.54% of total CF. The contribution of fertilizer, irrigation, machinery and labor inputs to the overall carbon footprint were 23.16%, 15.97%, 1.26% and 7.06%, respectively. Among the fertilizers, nitrogenous fertilizer was dominant and singly contributed to 70% of fertilizer CF. However, for developing best management practices for climate change mitigation in crop production of Bangladesh, further studies of soil and regional specific CFs of lentil are needed.Progressive Agriculture 27 (2): 162-167, 2016

scholarly journals Carbon and water footprint of coffee consumed in Finland—life cycle assessment

2020 ◽  
Vol 25 (10) ◽  
pp. 1976-1990
Author(s):  
Kirsi Usva ◽  
Taija Sinkko ◽  
Frans Silvenius ◽  
Inkeri Riipi ◽  
Hannele Heusala
Keyword(s):  
Life Cycle ◽  
Carbon Footprint ◽  
Water Scarcity ◽  
Management Practices ◽  
Water Footprint ◽  
Ghg Emissions ◽  
Climate Impacts ◽  
Primary Data ◽  
Coffee Cultivation ◽  
Irrigation Optimization

Abstract Purpose Coffee is one of the most widely grown cash crops globally, but there are few scientific articles on its carbon footprint and water scarcity impacts. The aim of this study was to assess the carbon footprint and water scarcity impacts throughout the life cycle of the coffee chain (cradle-to-grave) and to identify the most important sources of the impacts (hotspots). Methods The system included all the key stages of the supply chain from land use change and coffee cultivation to roasting and household consumption. Primary data was collected from eight coffee cultivation farms in Brazil, Nicaragua, Colombia and Honduras and coffee roastery and packaging manufacturers in Finland. The AWARE method was applied in a water scarcity impact assessment. Results and discussion The carbon footprint varied from 0.27 to 0.70 kg CO2 eq/l coffee. The share of the coffee cultivation stage varied from 32 to 78% and the consumption stage from 19 to 49%. The use of fertilizers was the most important process contributing to the carbon footprint. Furthermore, deforestation-related emissions notably increased the carbon footprint of coffee from Nicaragua. Compared with the previous literature, our results indicate a relatively larger share of climate impacts in the cultivation stage and less during consumption. The water scarcity impact was relatively low for non-irrigated systems in Central America, 0.02 m3 eq/l coffee. On Brazilian farms, irrigation is a major contributor to the water scarcity impact, varying from 0.15 to 0.27 m3 eq/l coffee. Conclusions Improving the management practices in cultivation and fertilization is key for lower GHG emissions. Irrigation optimization is the most important mitigation strategy to reduce water scarcity impact. However, actions to reduce these two impacts should be executed side by side to avoid shifting burdens between the two.

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