The most effective approach to enhancing climate-smart agriculture (CSA) is to involve the relevant organizations and government. This will demonstrate the duties and responsibilities of the government and the supporting institutions in facilitating the advancement of CSA practices. Assessing risks necessitates contemplating climate-smart agriculture. The CSA can assist in the research of the introduction of new crop varieties to address the changing climate.[3]
There are attempts to mainstream CSA into core government policies and planning frameworks. In order for CSA policies to be effective, they must contribute to broader economic growth and poverty reduction.[5]
The term climate-smart agriculture has been criticized as a form of greenwashing for big businesses.[6][7]
Definition
The World Bank described climate-smart agriculture (CSA) as follows: "CSA is a set of agricultural practices and technologies which simultaneously boost productivity, enhance resilience and reduce GHG emissions."[2] and "CSA is an integrated approach to managing landscapes—cropland, livestock, forests and fisheries--that address the interlinked challenges of food security and climate change."[2]
FAO's definition is: "CSA is an approach that helps guide actions to transform agri-food systems towards green and climate resilient practices."[1]
Objectives
CSA has the following three objectives: "sustainably increasing agricultural productivity and incomes; adapting and building resilience to climate change; and reducing and/or removing greenhouse gas emissions".[1]
Climate change is altering global rainfall patterns. This affects agriculture.[10]Rainfed agriculture accounts for 80% of global agriculture.[11] Many of the 852 million poor people in the world live in parts of Asia and Africa that depend on rainfall to cultivate food crops. Climate change will modify rainfall, evaporation, runoff, and soil moisture storage. Extended drought can cause the failure of small and marginal farms. This results in increased economic, political and social disruption.
Water availability strongly influences all kinds of agriculture. Changes in total seasonal precipitation or its pattern of variability are both important. Moisture stress during flowering, pollination, and grain-filling harms most crops. It is particularly harmful to corn, soybeans, and wheat. Increased evaporation from the soil and accelerated transpiration in the plants themselves will cause moisture stress.
There are many adaptation options. One is to develop crop varieties with greater drought tolerance[12] and another is to build local rainwater storage. Using small planting basins to harvest water in Zimbabwe has boosted maize yields. This happens whether rainfall is abundant or scarce. And in Niger they have led to three or fourfold increases in millet yields.[13]
Climate change can threaten food security and water security. It is possible to adapt food systems to improve food security and prevent negative impacts from climate change in the future.[14]
Farm animals' digestive systems can be put into two categories: monogastric and ruminant. Ruminant cattle for beef and dairy rank high in greenhouse gas emissions. In comparison, monogastric, or pigs and poultry-related foods, are lower. The consumption of the monogastric types may yield less emissions. Monogastric animals have a higher feed-conversion efficiency and also do not produce as much methane.[16] Non-ruminant livestock, such as poultry, emit far fewer greenhouse gases.[17]
There are many strategies to reduce greenhouse gas emissions from agriculture (this is one of the goals of climate-smart agriculture). Mitigation measures in the food system can be divided into four categories. These are demand-side changes, ecosystem protections, mitigation on farms, and mitigation in supply chains. On the demand side, limiting food waste is an effective way to reduce food emissions. Changes to a diet less reliant on animal products such as plant-based diets are also effective.[18]: XXV This could include milk substitutes and meat alternatives. Several methods are also under investigation to reduce the greenhouse gas emissions from livestock farming. These include genetic selection,[19][20] introduction of methanotrophic bacteria into the rumen,[21][22] vaccines, feeds,[23] diet modification and grazing management.[24][25][26]
Strategies
Strategies and methods for CSA should be specific to the local contexts where they are employed. They should include capacity-building for participants in order to offset the higher costs of implementation.[27]
Carbon farming
Carbon farming is one of the components of climate-smart agriculture and aims at reducing or removing greenhouse gas emissions from agriculture.
Carbon farming is a set of agricultural methods that aim to store carbon in the soil, crop roots, wood and leaves. The technical term for this is carbon sequestration. The overall goal of carbon farming is to create a net loss of carbon from the atmosphere.[28] This is done by increasing the rate at which carbon is sequestered into soil and plant material. One option is to increase the soil's organic matter content. This can also aid plant growth, improve soil water retention capacity[29] and reduce fertilizer use.[30]Sustainable forest management is another tool that is used in carbon farming.[31] Carbon farming is one component of climate-smart agriculture. It is also one way to remove carbon dioxide from the atmosphere.
To increase the effectiveness and sustainability of CSA interventions, they must be designed to address gender inequalities and discriminations against people at risk.[33]: 1 Women farmers are more prone to climate risk than men are. In developing countries, women have less access compared to men to productive resources, financial capital, and advisory services. They often tend to be excluded from decision making which may impact on their adoption of technologies and practices that could help them adapt to climatic conditions. A gender-responsive approach to CSA tries to identify and address the diverse constraints faced by men and women and recognizes their specific capabilities.[33]
Climate-smart agriculture presents opportunities for women in agriculture to engage in sustainable production.[34]
Monitoring tools
FAO has identified several tools for countries and individuals to assess, monitor and evaluate integral parts of CSA planning and implementation:[35]
Modelling System for Agricultural Impacts of Climate Change (MOSAICC)
Global Livestock Environmental Assessment Model (GLEAM)
Sustainability Assessment of Food and Agriculture (SAFA) system[36]
Economics and Policy Innovations for Climate-Smart Agriculture (EPIC)
Monitoring and Assessment of Greenhouse Gas Emissions and Mitigation Potential in Agriculture (MAGHG) project
Climate-Resilient Agriculture Index
The Climate-Resilient Agriculture (CRA) Index is a tool designed to assess and improve the resilience of agricultural systems to climate change. Two distinct versions of this index exist, each with a unique purpose and scope:
CRA Index
The CRA Index is aimed at benchmarking national agricultural resilience across countries. It uses nine indicators grouped into three dimensions: agricultural productivity and resource use efficiency, environmental sustainability and climate impact, and socio-economic resilience. It helps categorise nations into four resilience levels: Highly Resilient, Moderately Resilient, Low Resilience, and Very Low Resilience. This index provides policymakers with insights to prioritise interventions and enhance national-level climate adaptation strategies.[37]
CRA Index for India
The CRA Index for India evaluates climate resilience within the country's diverse agro-climatic zones. It employs 26 indicators spanning environmental, technological, socio-economic, and infrastructural dimensions to assess inter- and intra-zone resilience variations. This region-specific framework supports the development of tailored strategies to address local challenges and improve agricultural adaptability to climate change.[38]
Both indices offer valuable insights for addressing the impacts of climate change on agriculture. While the global CRA Index focuses on international benchmarking and national-level strategies, the CRA Index for India targets regional disparities to guide localised interventions.
The EU has promoted the development of climate-smart agriculture and forestry practices[39] as part of the European Green Deal Policy.[40] A critical assessment of progress was carried out using different multi-criteria indices covering socio-economic, technical and environmental factors.[41] The results indicated that the most advanced CSA countries within the EU are Austria, Denmark and the Netherlands. The countries with the lowest levels of CSA penetration are Cyprus, Greece and Portugal. Key factors included labor productivity, female ownership of farmland, level of education, degree of poverty and social exclusion, energy consumption/efficiency and biomass/crop productivity.[41] The Horizon Europe research programme has created a focus on CSA and climate-smart farming within the EU.[42][43] Projects deal with co-creation among stakeholders to change behavior and understanding within agricultural value chains. Investigative CSA studies on pig, dairy, fruit, vegetable and grain farms have been carried out in Denmark, Germany, Spain, Netherlands and Lithuania, respectively.[44]
Agriculture Innovation Mission for Climate
The Agriculture Innovation Mission for Climate (AIM for Climate/AIM4C) is a 5-year initiative to 2025, organized jointly by the UN, US and UAE.[45] The objective is to rally around climate-smart agriculture and food system innovations. It has attracted some 500 government and non-government organizations around the world and about US$10 billion from governments and US$3 billion from other sources.[46] The initiative was introduced during COP-26 in Glasgow.[47]
The CGIAR as part of the AIM4C summit in May 2023 called for a number of actions:[48] Integration of initiatives from the partner organizations, enabling innovative financing, production of radical policy and governance reform based on evidence. And lastly, promotion of project monitoring, evaluation, and learning
Global Roadmap to 2050 for Food and Agriculture
Several actors are involved in creating pathways towards net-zero emissions in global food systems.[49]
Four areas of focus relate to:
lowered GHG-emission practices by increasing production efficiency
increased sequestration of carbon in croplands and grasslands
shifting of human diets away from livestock protein
taking on "new-horizon" technologies within the food systems
Livestock production (beef, pork, chicken, sheep and milk) alone accounts for 60% of total global food system GHG emissions.[49] Rice, maize and wheat stand for 25% of the global emissions from food systems.
Criticism
The greatest concern with CSA is that no universally acceptable standard exists against which those who call themselves climate-smart are actually acting smart. Until those certifications are created and met, skeptics are concerned that big businesses will just continue to use the name to greenwash their organizations—or provide a false sense of environmental stewardship.[7] CSA can be seen as a meaningless label that is applicable to virtually anything, and this is deliberate as it is meant to conceal the social, political and environmental implications of the different technology choices.
In 2014 The Guardian reported that climate-smart agriculture had been criticized as a form of greenwashing.[6]
Contradictions surrounding practical value of CSA among consumers and suppliers may be the reason why the European Union is lagging with CSA implementation compared to other areas of the world.[50]
^Friel, Sharon; Dangour, Alan D.; Garnett, Tara; et al. (2009). "Public health benefits of strategies to reduce greenhouse-gas emissions: food and agriculture". The Lancet. 374 (9706): 2016–2025. doi:10.1016/S0140-6736(09)61753-0. PMID19942280. S2CID6318195.
^Parmar, N.R.; Nirmal Kumar, J.I.; Joshi, C.G. (2015). "Exploring diet-dependent shifts in methanogen and methanotroph diversity in the rumen of Mehsani buffalo by a metagenomics approach". Frontiers in Life Science. 8 (4): 371–378. doi:10.1080/21553769.2015.1063550. S2CID89217740.
^Martin, C. et al. 2010. Methane mitigation in ruminants: from microbe to the farm scale. Animal 4 : pp 351-365.
^Eckard, R. J.; et al. (2010). "Options for the abatement of methane and nitrous oxide from ruminant production: A review". Livestock Science. 130 (1–3): 47–56. doi:10.1016/j.livsci.2010.02.010.
^Singh, S. N.; Bisaria, J. (2023). "Climate-Resilient Agriculture (CRA) Index for India: A Regional Perspective". Springer Climate Change. 15 (2): 123–140. doi:10.1007/s10584-021-02969-6.
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