Annual change in agricultural production and direct GHG emissions, 2021 to 2030

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
David Laborde ◽  
Abdullah Mamun ◽  
Will Martin ◽  
Valeria Piñeiro ◽  
Rob Vos

AbstractAgricultural production is strongly affected by and a major contributor to climate change. Agriculture and land-use change account for a quarter of total global emissions of greenhouse gases (GHG). Agriculture receives around US$600 billion per year worldwide in government support. No rigorous quantification of the impact of this support on GHG emissions has been available. This article helps fill the void. Here, we find that, while over the years the government support has incentivized the development of high-emission farming systems, at present, the support only has a small impact in terms of inducing additional global GHG emissions from agricultural production; partly because support is not systematically biased towards high-emission products, and partly because support generated by trade protection reduces demand for some high-emission products by raising their consumer prices. Substantially reducing GHG emissions from agriculture while safeguarding food security requires a more comprehensive revamping of existing support to agriculture and food consumption.


Author(s):  
Ukpe Udeme Henrietta ◽  
Djomo Choumbou Raoul Fani ◽  
Ogebe Frank ◽  
Gbadebo Odularu ◽  
Oben Njock Emmanuel

2020 ◽  
Vol 13 (6) ◽  
pp. 1
Author(s):  
Andrew Waaswa ◽  
Felix Satognon

The social component of the environment associated mostly with human activities has significantly imposed a threat to the only life-support systems of the earth. Uganda made adjustments in its planning process to prioritize environment conservation. However, in the recent past years, mostly between 2013 and 2017, the country stretched its resources to increase agricultural production, both livestock and crops. The objective of this study was to establish and document the development and the environment conservation strategies at global and regional levels with an overview on the development planning process in agricultural sector, in Uganda. The results showed that the sustainable development plans with participatory approach at international, regional, national and local or community levels are the best methods to cope with and reduce the negative impacts of man’s activities on the environment. The understanding of the complexes of the environment is very important to ensure the relationship between the social, economic and environmental protection for a sustainable development. The results also indicated that in Uganda, the agriculture industry made consistent efforts to increase agricultural production by 431,161 hectares and livestock heads by 7,878,000 (cattle, sheep, goats, pigs, and poultry) between 2013 and 2017. This increased agricultural greenhouse gas emission due to the use of synthetic fertilizers, burning of the cleared grasses, and use of manures applied to boost soil fertility and the reduction in the trees that sequester CO2. This study recommended that the agricultural sector should opt for sustainable agriculture by adopting practices like use of multipurpose crops that can offer environmental services like binding soil particles together to control erosion as well as yielding more food products. Dual-purpose livestock breeds should be adopted to avoid immense numbers that serve different purposes that will probably lead to increased GHG emissions.


2015 ◽  
Vol 24 (4) ◽  
Author(s):  
Jelena Ariva ◽  
Ants Hannes Viira ◽  
Reet Põldaru ◽  
Jüri Roots

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.


2018 ◽  
Author(s):  
Zhengang Yan ◽  
Wei Li ◽  
Tianhai Yan ◽  
Shenghua Chang ◽  
Fujiang Hou

Agricultural production in Minqin Oasis, China, is commonly categorized as intensive crop production (ICP), integrated crop-livestock production (ICLP), intensive livestock production (confined feeding) (IFLP), and extensive livestock production (grazing) (EGLP). The objectives of the present study were to use a life cycle assessment (LCA) to evaluate the on farm energy balances and greenhouse gas (GHG) emissions of agricultural production, and to compare the differences among the four systems. 529 farmers in eight towns of Minqin Oasis were selected to complete a face-to-face questionnaire. AVONA analysis of the average data from 2014 to 2015 indicated that the net energy ratio (Output/Input) for the EGLP system was significantly higher than for each of the other three systems (P < 0.01), whereas the differences among the other systems were not significant. However, the EGLP system generated lower CO2-eq emissions per hectare of farmland than each of the three other systems (P < 0.01). Relating carbon economic efficiency to market values (Chinese currency, ¥) of agricultural products, indicated that the carbon economic efficiency (¥/kg CO2-eq/farm) of the IFLP system was significantly greater than that of the three other systems (P < 0.01). The net energy ratios of alfalfa (4.01) and maize (2.63) were significantly higher than the corresponding data of the other crops (P < 0.01). All of the emission sources data for ICP, ICLP, IFLP, and EGLP, when related to the contribution of GHG emissions, showed fertilizer, enteric methane emissions, and plastic mulch, contributed the highest proportions of GHG emissions of all production categories. The path models showed that class of livestock was strongly linked to economic income. The direct effects and total effects of water use efficiency, via their positive influence on energy balances and GHG emissions were much stronger than those of other dependent variables. In conclusion, the present study provides benchmark information on the factors for energy balances and GHG emissions for agricultural production systems in northwestern China.


Author(s):  
M. Zaman ◽  
K. Kleineidam ◽  
L. Bakken ◽  
J. Berendt ◽  
C. Bracken ◽  
...  

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.


2021 ◽  
Vol 13 (6) ◽  
pp. 3190
Author(s):  
Paresh B. Shirsath ◽  
Pramod K. Aggarwal

Climate-smart agriculture targets integrated adaptation and mitigation strategies for delivering food security and greenhouse gas emissions reduction. This study outlines a methodology to identify the trade-offs between food production, emissions, and income under technology and food demand-shift scenario and climate change. The methodology uses Climate Smart Agricultural Prioritization (CSAP) toolkit a multi-objective land-use allocation model, and detailed databases, characterizing the agricultural production processes at the land-unit scale. A case study has also been demonstrated for Bihar, a state in India. The quantification of trade-offs demonstrates that under different technology growth pathways alone the food self-sufficiency for Bihar cannot be achieved whilst the reduction in emission intensity targets are achievable up to 2040. However, both food self-sufficiency and reduction in emission intensity can be achieved if we relax constraints on dietary demand and focus on kilo-calories maximization targets. The district-level analysis shows that food self-sufficiency and reduction in emission intensity targets can be achieved at a local scale through efficient crop-technology portfolios.


2021 ◽  
Vol 748 (1) ◽  
pp. 012026
Author(s):  
Hadi Yahya Saleh Mareeh ◽  
Adhita Sri Prabakusuma ◽  
Dongqi Shi ◽  
Ansita Gupitakingkin Pradipta ◽  
Adnan Kasofi

Abstract One Belt One Road (OBOR) is an initiative of collaboration and development that was put forward by China. Moreover, the agricultural production in most of the country members confronted Water scarcity and climate change. In current study it has been used Water Footprint (WF) as tool for measuring water consumption in China and participating country. Thus, this paper aims to understand OBOR from the perspective of WF of agricultural products. On the whole, the results showed that agriculture’s WF in China and OBOR countries increased steadily from about 6.84 trillion m3 in the initial period to about 9.54 trillion m3 in 2018. They also showed that China and India were the largest countries consumed WF which accounted for 76.12% of the total WF used in agricultural production. Furthermore, the WF that has been consumed for agriculture production in China and spanning countries was excessively concentrated on some products. As a whole, green the main water type used in producing agricultural products. Since announcing OBOR initiative in 2013 until now, there is not any remarkable change on GHG emissions that generated from agriculture due to the climate change impacts can be observed only on the long term. WF is a new perspective to explore OBOR. Agricultural trade with China certainly benefits both the countries along OBOR and China from the perspective of WF. The findings of this study is essential as references for better agriculture production structure, and is useful for managing water in China and the nations along the Silk Road, mitigating water scarcities, and wisely distributing the water resources in the various sectors.


Author(s):  
Peteris Rivza ◽  
Ivars Mozga ◽  
Laima Berzina

The present research study outlines a methodology for assessing agricultural production forecasts in Latvia with regard to the outcome of GHG emissions. A dynamic model was developed, which allows assessment of effects of various decisions and measures on agricultural production. The model consists of several mutually connected blocks: 1) modelling of agricultural indicators with relation to macroeconomic indicators; 2) calculation of GHG emissions according to Intergovernmental Panel on Climate Change (IPCC) guidelines; 3) scenarios for analysing the impact on emissions by various mitigation measures, and 4) results for summarising the modelling outcome. The developed model may be used as a decision support tool for impact assessment of various measures to reduce emissions and for seeking solutions to GHG emission mitigation by agricultural policy decisions. The model was developed using the Powersim Studio software.


Sign in / Sign up

Export Citation Format

Share Document