scholarly journals Brazilian greenhouse gas emissions: the importance of agriculture and livestock

2009 ◽  
Vol 66 (6) ◽  
pp. 831-843 ◽  
Author(s):  
Carlos Clemente Cerri ◽  
Stoecio Malta Ferreira Maia ◽  
Marcelo Valadares Galdos ◽  
Carlos Eduardo Pellegrino Cerri ◽  
Brigitte Josefine Feigl ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Carbon Sink ◽  
Ghg Emissions ◽  
Mitigation Strategies ◽  
Land Uses ◽  
Average Increase ◽  
Mitigation Options ◽  
China And India ◽  
The World ◽  
Climate Analysis

Data from the 1990-1994 period presented in the "Brazil's Initial National Communication" document indicated that the country is one of the top world greenhouse gas (GHG) emitters. A large majority of Brazil's GHG emissions come from deforestation mainly of the Amazon biome for agriculture and livestock land uses. This unique inventory is now out of date. Thus, the aims of this review were (i) to update estimates of the GHG emissions for the Brazilian territory, (ii) to estimate the sinks to provide calculations of the GHG net emissions for the 1990-2005 period, (iii) to calculate the actual and estimate shares of agricultural and livestock activities, and (iv) to discuss in light of the new figures and patterns the best mitigation options for Brazil. Total emissions in CO2-eq increased by 17% during the 1994-2005 period. CO2 represented 72.3% of the total, i.e. a small decrease, in favour of non-CO2 GHG, in relation to 1994 when its share was 74.1%. The increase of all GHG excluding Land Use Change and Forestry (LUCF) was 41.3% over the period 1994-2005. Climate Analysis Indicators Tool (CAIT) - World Resources Institute (WRI) estimated a higher increase (48.9%) that classified Brazil at the 69th position. Using our estimates Brazil will fall to the 78th position. But in both cases Brazil increased in clearly lower values than the tendency calculated for China and India, two major emitters, with increases of 88.8% and 62.1%, respectively. Brazil's increase is less than those presented for some countries in Annex 1 that are submitted to a quota of reduction, e.g. Spain with 55.6% of increase and New Zealand with 45.8%. Brazil also is below the average increase shown by non-Annex I countries, estimated to be 61.3%, but above the world average (28.1%). Besides the effort to curb emissions from the energy and deforestation sectors, it is now a top priority to implement a national program to promote mitigation efforts concerning the agricultural and livestock sectors. These mitigation options should not be only focused on emission reductions, but also prone enhancement of the carbon sink. Such a program would be easy to be implemented, because several mitigation strategies have already proven to be efficient, simple to adopt and economically viable.

scholarly journals China’s Tea Industry: Net Greenhouse Gas Emissions and Mitigation Potential

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 363
Author(s):  
Long Liang ◽  
Bradley G. Ridoutt ◽  
Liyuan Wang ◽  
Bin Xie ◽  
Minghong Li ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Reduction Potential ◽  
Carbon Sink ◽  
Ghg Emissions ◽  
Emissions Reduction ◽  
Tea Industry ◽  
The World ◽  
Climate Action ◽  
Tea Production ◽  
Agricultural Materials

Tea is an important cash crop and a beverage that is widely consumed across the world. In China (the largest producer of tea), the industry is growing, and there is a need to understand current greenhouse gas (GHG) emissions and sequestrations and the potential for mitigation so that climate action can be strategically undertaken. Life cycle assessment and carbon footprint methods were used to quantify emissions in tea cultivation and processing in the 16 major producing regions for the year 2017. The system boundary was from cradle to factory gate, which was divided into three subsystems, namely agricultural materials production, tea production and tea processing. Several units of analysis were chosen: the production region (province), the production area (ha) and the product (kg loose tea), etc. Total GHG emissions were 28.75 Mt CO2eq, which were mainly attributable to energy use in tea processing (41%), fertilizer production (31.6%) and soil emissions (26.7%). This equated to 12.0 t CO2eq per ha and 10.8 kg CO2eq per kg processed tea. Production in Hubei, Yunan, Guizhou, Sichuan and Fujian provinces contributed almost two thirds of industry emissions, representing priority areas for strategic action to reduce GHG emissions. At the same time, the total carbon sink amounted to 21.37 MtCO2, representing 74.3% of total GHG emissions. The proportions stored in soil, biomass, and tea production were 49.3%, 30.0%, and 20.7%, respectively. If best recommended management practices for fertilizer application were adopted and biomass was used as a source of energy for tea processing, the GHG emissions reduction potential was 16.66 Mt CO2eq, or 58% of total emissions. The GHG emissions associated with tea production and processing in China appeared high by comparison to other regions of the world. However, considering the carbon sink and emissions reduction potential, the tea industry should be viewed as an important sector for climate action. Moreover, the potential for substantial GHG emissions reduction through the adoption of improved practices seems very realistic. There may also be additional opportunities for GHG emissions reduction through the development of organic tea cultivation systems.

scholarly journals Greenhouse gas mitigation options in Brazil for land-use change, livestock and agriculture

2010 ◽  
Vol 67 (1) ◽  
pp. 102-116 ◽  
Author(s):  
Carlos Clemente Cerri ◽  
Martial Bernoux ◽  
Stoecio Malta Ferreira Maia ◽  
Carlos Eduardo Pellegrino Cerri ◽  
Ciniro Costa Junior ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Mitigation Strategies ◽  
Greenhouse Gas Mitigation ◽  
Mitigation Option ◽  
Mitigation Options ◽  
Option Values ◽  
Business As Usual

National inventories of anthropogenic greenhouse gas (GHG) emissions (implementation of the National Communications) are organized according to five main sectors, namely: Energy, Industrial Processes, Agriculture, Land-Use Change and Forestry (LUCF) and Waste. The objective of this study was to review and calculate the potential of greenhouse gas mitigation strategies in Brazil for the Agricultural and LUCF. The first step consisted in an analysis of Brazilian official and unofficial documents related to climate change and mitigation policies. Secondly, business as usual (BAU) and mitigation scenarios were elaborated for the 2010-2020 timeframe, and calculations of the corresponding associated GHG emissions and removals were performed. Additionally, two complementary approaches were used to point out and quantify the main mitigation options: a) following the IPCC 1996 guidelines and b) based on EX-ACT. Brazilian authorities announced that the country will target a reduction in its GHG between 36.1 and 38.9% from projected 2020 levels. This is a positive stand that should also be adopted by other developing countries. To reach this government goal, agriculture and livestock sectors must contribute with an emission reduction of 133 to 166 Mt CO2-eq. This seems to be reachable when confronted to our mitigation option values, which are in between the range of 178.3 to 445 Mt CO2-eq. Government investments on agriculture are necessary to minimize the efforts from the sectors to reach their targets.

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.

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 Pollution Based on Energy use and its Mitigation Potential in the City of Surakarta, Indonesia

2020 ◽  
Vol 52 (1) ◽  
pp. 1
Author(s):  
Prabang Setyono ◽  
Widhi Himawan ◽  
Cynthia Permata Sari ◽  
Totok Gunawan ◽  
Sigit Heru Murti
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas ◽  
Urban Areas ◽  
Energy Use ◽  
Carbon Sink ◽  
Ghg Emissions ◽  
Electricity Consumption ◽  
Vegetation Density ◽  
Rate Of Increase ◽  
The City

Considered as a trigger of climate change, greenhouse gas (GHG) is a global environmental issue. The City of Surakarta in Indonesia consists mainly of urban areas with high intensities of anthropogenic fossil energy consumption and, potentially, GHG emission. It is topographically a basin area and most likely prompts a Thermal Inversion, creating a risk of accumulation and entrapment of air pollutants or GHGs at low altitudes. Vegetation has been reported to mitigate the rate of increase in emissions because it acts as a natural carbon sink. This study aimed to mitigate the GHG emissions from energy consumption in Surakarta and formulate recommendations for control. It commenced with calculating the emission factors based on the IPCC formula and determining the key categories using the Level Assessment approach. It also involved computing the vegetation density according to the NDVI values of the interpretation of Sentinel 2A imagery. The estimation results showed that in 2018, the emission loads from the energy consumption in Surakarta reached 1,217,385.05 (tons of CO2e). The key categories of these emissions were electricity consumption, transportation on highways, and the domestic sector, with transportation on highways being the top priority. These loads have exceeded the local carrying capacity because they create an imbalance between emission and natural GHG sequestration by vegetations.

scholarly journals The cost of mitigating greenhouse gas emissions in farms in Central Andes of Ecuador

2020 ◽  
Vol 18 (1) ◽  
pp. e0101
Author(s):  
Jhenny Cayambe ◽  
Ana Iglesias
Keyword(s):  
Soil Fertility ◽  
Greenhouse Gas ◽  
Rural Areas ◽  
Agricultural Sector ◽  
Nutrient Recycling ◽  
Ghg Emissions ◽  
Central Andes ◽  
Mitigation Strategies ◽  
Mitigation Measures ◽  
The Cost

Aim of study: Reduction of the greenhouse gas (GHG) emissions derived from food production is imperative to meet climate change mitigation targets. Sustainable mitigation strategies also combine improvements in soil fertility and structure, nutrient recycling, and the use more efficient use of water. Many of these strategies are based on agricultural know-how, with proven benefits for farmers and the environment. This paper considers measures that could contribute to emissions reduction in subsistence farming systems and evaluation of management alternatives in the Central Andes of Ecuador. We focused on potato and milk production because they represent two primary employment and income sources in the region’s rural areas and are staple foods in Latin America.Area of study: Central Andes of Ecuador: Carchi, Chimborazo, Cañar provincesMaterial and methods: Our approach to explore the cost and the effectiveness of mitigation measures combines optimisation models with participatory methods.Main results: Results show the difference of mitigation costs between regions which should be taken into account when designing of any potential support given to farmers. They also show that there is a big mitigation potential from applying the studied measures which also lead to increased soil fertility and soil structure improvements due to the increased soil organic carbon.Research highlights: This study shows that marginal abatement cost curves derived for different agro-climatic regions are helpful tools for the development of realistic regional mitigation options for the agricultural sector.

scholarly journals Growing our future: Assessing the outcome of afforestation programs in Ontario, Canada

2021 ◽  
Vol 97 (02) ◽  
pp. 179-190
Author(s):  
Georgina K. Magnus ◽  
Elizabeth Celanowicz ◽  
Mihai Voicu ◽  
Mark Hafer ◽  
Juha M. Metsaranta ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Mitigation ◽  
Carbon Sink ◽  
Ghg Emissions ◽  
Mitigation Strategies ◽  
Spatially Explicit ◽  
Auxiliary Data ◽  
Carbon Budget Model ◽  
Change Mitigation

The United Nations Framework Convention on Climate Change (UNFCCC) requires its signatories, including Canada, to estimate and report their annual greenhouse gas (GHG) emissions and removals. Forests are an important natural resource as they slow the accumulation of atmospheric carbon through the process of carbon sequestration. Due to the role of forests as carbon sinks, governments consider afforestation projects as feasible climate change mitigation strategies. This article outlines a spatially-explicit approach to validating afforestation data in Ontario, Canada. Validation is a user-supervised process that uses satellite imagery, remote sensing tools, and other auxiliary data to confirm the presence of seedlings planted through Forests Ontario’s 50 Million Tree program. Of the 12 466 hectares assessed, 83% is identified as afforested, 6% is not afforested and 10% is not determined. The area classified as successful afforestation is used as input for the Generic Carbon Budget Model (GCBM), to simulate afforestation effects on carbon stocks. Our findings show the afforestation activities will create a small carbon sink by 2060. From this project, it is evident that spatial validation of afforestation data is feasible, although the collection of additional standardized auxiliary data is recommended for future afforestation projects, if carbon benefits are to be reported.

scholarly journals Soil Greenhouse Gas Emissions under Different Land-Use Types in Savanna Ecosystems of Kenya

2019 ◽  
Author(s):  
Sheila Wachiye ◽  
Lutz Merbold ◽  
Timo Vesala ◽  
Janne Rinne ◽  
Matti Räsänen ◽  
...  
Keyword(s):  
Land Use ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Measurement Data ◽  
Mitigation Strategies ◽  
P Value ◽  
Land Use Types ◽  
Wide Range ◽  
Carbon Dioxide Co2

Abstract. For effective climate change mitigation strategies, adequate data on greenhouse gas (GHG) emissions from a wide range of land-use and land cover types area prerequisite. However, GHG field measurement data are still scarce for many land-use types in Africa, causing a high uncertainty in GHG budgets. To address this knowledge gap, we present in situ measurements of carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4) emissions in the lowland part of southern Kenya. We conducted chamber measurements on gas exchange from four dominant land-use types (LUTs) and included (1) cropland, (2) grazed savanna, (3) bushland, and (4) conservation land. Between 29 November 2017 to 3 November 2018, eight measurement campaigns were conducted accounting for regional seasonality (including wet and dry seasons and transitions periods) in each LUT. Mean CO2 emissions for the whole observation period were significantly higher (p-value 

Greenhouse gas emission reductions in subtropical cereal-based cropping sequences using legumes, DMPP-coated urea and split timings of urea application

Soil Research ◽  
2018 ◽  
Vol 56 (7) ◽  
pp. 724 ◽  
Author(s):  
Graeme D. Schwenke ◽  
Philippa M. Brock ◽  
Bruce M. Haigh ◽  
David F. Herridge
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Nitrification Inhibitor ◽  
Ghg Emissions ◽  
Mitigation Strategies ◽  
Life Cycle Assessments ◽  
Ch4 Emissions ◽  
Ghg Reduction ◽  
Coated Urea ◽  
On Farm

To contribute to national greenhouse gas emissions (GHG) reduction targets, grain growers need strategies that minimise emissions associated with grain production. We used life cycle assessments (LCAs) with field-measured production inputs, grain yields and proteins, legume nitrogen (N2) fixation, and soil nitrous oxide (N2O) and methane (CH4) emissions, to explore mitigation strategies in 3-year crop sequences in subtropical Australia. The sequences were: canola plus 80 kg/ha fertiliser nitrogen (80N)–wheat 85N–barley 65N (CaNWtNBaN), chickpea 0N–wheat 85N–barley 5N (CpWtNBa), chickpea 0N–wheat 5N–chickpea 5N (CpWtCp), and chickpea 0N–sorghum 45N (CpSgN). We also assessed the impacts of split fertiliser N application and urea coated with DMPP, a nitrification inhibitor, on the LCA for the CaNWtNBaN sequence. Total pre-farm plus on-farm GHG emissions varied between 915 CO2-e/ha (CpSgN) and 1890 CO2-e/ha (CaNWtNBaN). Cumulative N2O emitted over the 3-year study varied between 0.479 kg N2O-N/ha (CpWtCp) and 1.400 kg N2O-N/ha (CaNWtNBaN), which constituted 24–44% of total GHG emissions. Fertiliser production accounted for 20% (CpSgN) to 30% (CaNWtNBaN) of total emissions. An extra 4.7 kg CO2-e/ha was emitted for each additional kg N/ha of applied N fertiliser. Three-year CH4 emissions ranged from −1.04 to −0.98 kg CH4-C/ha. Split N and DMPP strategies could reduce total GHG emissions of CaNWtNBaN by 17 and 28% respectively. Results of the study indicate considerable scope for reducing the carbon footprint of subtropical, dryland grains cropping in Australia.

Towards a benchmarking tool for minimizing wastewater utility greenhouse gas footprints

2012 ◽  
Vol 66 (11) ◽  
pp. 2483-2495 ◽  
Author(s):  
L. Guo ◽  
J. Porro ◽  
K. R. Sharma ◽  
Y. Amerlinck ◽  
L. Benedetti ◽  
...  
Keyword(s):  
Activated Sludge ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Treatment Plant ◽  
N2o Emission ◽  
Mitigation Strategies ◽  
N2o Emissions ◽  
N2o Production ◽  
Average Value ◽  
And Control

A benchmark simulation model, which includes a wastewater treatment plant (WWTP)-wide model and a rising main sewer model, is proposed for testing mitigation strategies to reduce the system's greenhouse gas (GHG) emissions. The sewer model was run to predict methane emissions, and its output was used as the WWTP model input. An activated sludge model for GHG (ASMG) was used to describe nitrous oxide (N2O) generation and release in activated sludge process. N2O production through both heterotrophic and autotrophic pathways was included. Other GHG emissions were estimated using empirical relationships. Different scenarios were evaluated comparing GHG emissions, effluent quality and energy consumption. Aeration control played a clear role in N2O emissions, through concentrations and distributions of dissolved oxygen (DO) along the length of the bioreactor. The average value of N2O emission under dynamic influent cannot be simulated by a steady-state model subjected to a similar influent quality, stressing the importance of dynamic simulation and control. As the GHG models have yet to be validated, these results carry a degree of uncertainty; however, they fulfilled the objective of this study, i.e. to demonstrate the potential of a dynamic system-wide modelling and benchmarking approach for balancing water quality, operational costs and GHG emissions.

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