Climate-smart Agriculture Adoption Research Articles

Impact of Adoption of Climate-Smart Agriculture on Food Security in the Tropical Moist Montane Ecosystem: The Case of Geshy Watershed, South-West Ethiopia

Impact of Adoption of Climate-Smart Agriculture on Food Security in the Tropical Moist Montane Ecosystem: The Case of Geshy Watershed, South-West Ethiopia

Impact of Adoption of Climate-Smart Agriculture on Food Security in the Tropical Moist Montane Ecosystem

Impact of Adoption of Climate-Smart Agriculture on Food Security in the Tropical Moist Montane Ecosystem

Uptake of Climate Smart Agriculture in Peri-Urban Areas of South Africa's Economic Hub Requires Up-Scaling

Climate variability and change impact significantly on food security and the livelihoods of smallholder farmers making it necessary for the farmers to prioritize investment in adaptation and mitigation approaches, such as climate smart agriculture, to enhance resilience. Climate smart agriculture approaches have been adopted in many countries around the world to address the adverse impacts of climate change on agricultural production. There is limited information about climate smart agriculture adoption by peri-urban farmers in developing countries. The present study aimed to assess the extent to which agricultural activities by smallholder crop farmers in the City of Tshwane Metropolitan Municipality in Gauteng province of South Africa are climate smart, and to establish the sustainable measures to be put in place to enhance the adoption of climate smart agriculture. The study made use of a mixed method design combining qualitative and quantitative approaches. A combination of simple random and non-probability sampling techniques was employed to select the study locations and identify respondents. A sample of thirty-six farmers were selected for the study. The main findings revealed overwhelming awareness of climate change and the impacts thereof on crop productivity and yields. However, the respondents' level of awareness of climate smart agriculture technologies was generally low. Despite the lack of knowledge of climate smart agriculture practices, the farmers were, to an extent, utilizing adaptation mechanisms acquired from indigenous systems or scientific knowledge. Examples of these practices include mulching, cover cropping, crop rotation and use of crop varieties. The study concludes that much more can be done to scale up the uptake of climate smart agriculture in the Gauteng province. The study recommends formal and informal strategies including one-on-one extension programs to raise the awareness of climate smart agriculture technologies appropriate to the unique conditions of the farmers.

R&D Innovation Adoption, Climatic Sensitivity, and Absorptive Ability Contribution for Agriculture TFP Growth in Pakistan

Innovation adoptions in agriculture sustain high total factor productivity (TFP) growth and overcome a potential production gap, which is beneficial for food security. Research and development (R&D) innovation adoption in agriculture sector is dependent on producers’ willingness to adopt, knowledge capital spillovers, and financial capacity. This research aims to investigate the impact of R&D innovation adoption and climate factors on agriculture TFP growth in Pakistan. The annual time series data were collected from different sources for the period of 1972–2020. For measuring the agriculture TFP, this study adopted the Cobb Douglas and Translog production functions. To analyze the impact of R&D innovation adoption and climate change on agricultural productivity, the dynamic autoregressive distributive lag (ARDL) and two-stage least square (TSLS) approaches were applied for regression analysis. The study outcomes highlight that the agricultural innovation adoption has a significantly positive impact on agriculture TFP growth in Pakistan with weak farmers’ absorptive ability. According to the results, agriculture tractors, innovative seed distribution, and fertilizer consumptions make a significantly positive contribution to agriculture TFP growth. Further, rainfall shows a positive and significant impact on agricultural productivity, where a moderate climate is beneficial for agricultural productivity. The estimation results contain policy suggestions for sustainable R&D adoption and agrarians’ absorptive ability. Based on the obtained results, it has been suggested that producers should focus on R&D innovation adoption to attain higher productivity. The government needs to emphasize innovative technology adoption, specifically to implement the extension services to increase farmers’ education, skills based training, and networking among the farmers to enhance their knowledge capital and absorptive ability. The farmers should also focus on the adoption of climate smart agriculture that can be achieved through the proper utilization of rainwater. For this purpose, the government needs to develop small community dams and large-scale dams for better use of rainwater harvesting.

Community-Level Impacts of Climate-Smart Agriculture Interventions on Food Security and Dietary Diversity in Climate-Smart Villages in Myanmar

Diversification of production to strengthen resilience is a key tenet of climate-smart agriculture (CSA), which can help to address the complex vulnerabilities of agriculture-dependent rural communities. In this study, we investigated the relationship between the promotion of different CSA practices across four climate-smart villages (CSVs) in Myanmar. To determine the impact of the CSA practices on livelihoods and health, survey data were collected from agricultural households (n = 527) over three years. Within the time period studied, the results indicate that some the CSA practices and technologies adopted were significantly associated with changes in household dietary diversity scores (HDDS), but, in the short-term, these were not associated with improvements in the households’ food insecurity scores (HFIAS). Based on the survey responses, we examined how pathways of CSA practice adoption tailored to different contexts of Myanmar’s four agroecologies could contribute to the observed changes, including possible resulting trade-offs. We highlight that understanding the impacts of CSA adoption on household food security in CSVs will require longer-term monitoring, as most CSA options are medium- to long-cycle interventions. Our further analysis of knowledge, attitudes and practices (KAPs) amongst the households indicated a poor understanding of the household knowledge, attitudes and practices in relation to nutrition, food choices, food preparation, sanitation and hygiene. Our KAP findings indicate that current nutrition education interventions in the Myanmar CSVs are inadequate and will need further improvement for health and nutrition outcomes from the portfolio of CSA interventions.

A Review of Climate-Smart Agriculture Technology Adoption by Farming Households in Sub-Saharan Africa

Climate change is a major constraint to the progress of Africa’s agriculture, food, and nutrition security; its effect is tied to geographical position and driven by the limited adaptive capacity of the agricultural households. The most vulnerable stakeholder group are the smallholder farming households with limited resources and knowledge of adaptation and mitigation techniques. Sub-Saharan Africa owns more than 60% of the world’s arable land with over 85% of the farmers being smallholder farmers, who are predisposed to various risks. This paper analyzes the adoption of climate-smart agriculture (CSA) processes and technologies by smallholder farming households in Sub-Saharan Africa. The study used mixed methods and an integrative literature review. This review indicated that the knowledge of CSA technologies by smallholder farmers in Africa is increasing and, thus, concerted efforts to continuously generate CSA technology would contribute to the desired positive outcome. To accelerate the pace of adoption and use of the technologies, the linkage of farmers, researchers, and extension practitioners is needed. Measures should also be put in place to ensure that CSA actions are implemented using bottom-up approaches.

Sustainability and efficiency analysis w.r.t adoption of climate-smart agriculture (CSA) in Pakistan: a group-wise comparison of adopters and conventional farmers.

Climate change, conventional agricultural management practices, and increasing water scarcity pose a major threat to agricultural production and biodiversity as well as environmental sustainability. Climate-smart agriculture (CSA) is recognized as an efficient, sustainable, and feasible agricultural system that plays a vital role in addressing the potential impacts of climate change in Pakistan. First-hand information was collected from 450 farm households in 24 villages from Okara, Sahiwal, and Khanewal irrigation divisions, having various wheat-based cropping systems of Pakistan. This includes rice-wheat (RW), maize-wheat (MW), and cotton-wheat (CW) cropping systems in the Lower Bari Doab Canal (LBDC) irrigation system. This study estimated and compared the sustainability and efficiency analysis of CSA and conventional agricultural practices. This study also estimated the impact of water-smart practices of the CSA, technical training, and groundwater quality on agricultural production by using production function and bootstrap truncated regression. The findings of this study revealed that adopters of CSA of the wheat-based cropping systems have higher economic benefits and improved resource use efficiencies compared to the conventional farmers. The findings of the study also revealed the increased efficiency of CSA adopters over other two systems in CW cropping system. The water-smart practices of CSA, access to credit, technical training, use of groundwater of varying quality, and other inputs also showed variations in the agricultural production and resource use efficiency. It has been concluded that farmers can earn more profit, save inputs (such as water), and increase their production by adopting water-smart practices of CSA. Hence, the government and other relevant institutions should devise and implement policies that adequately addressed the importance and enhance the use of water-smart practices of CSA in Punjab and beyond.

Effects of Climate-Smart Agriculture Adoption on Performance of Rice Farmers in Northeast Vietnam

Agricultural production is increasingly vulnerable to risks and uncertainties associated with climate changes. Climate-smart agriculture (CSA) has been proposed to address challenges in agricultural production such as food security, water shortage, drought, and soil erosion, etc. The benefits of CSA adoption for farmers have been debated. Many previous studies have indicated that impacts seem to be affected by selection bias. However, controlling such selection bias has not been considered in studies on the CSA adoption. Thus, in this study, we analyzed the impacts of CSA adoption on major economic indicators for rice farmers. The Propensity Score Matching (PSM) method was employed to address such selection bias for a case study on rice farmers in Thai Nguyen province, Vietnam. Comparing main economic indicators, we found significant differences in rice yields and used seed inputs between CSA and non-CSA adopters. Ignoring selection bias control resulted in overestimation of economic returns. The results also indicate limited contribution of CSA adoption to a reduction in pesticide and herbicide usage, and an increase in use of organic fertilizers. Some implications for further research are also discussed.

Adoption of Climate Smart Agriculture by Communal Livestock Farmers in South Africa

The importance of adopting modern technology in agriculture, especially in a changing climate, cannot be underestimated in Africa. The aim of this review was to highlight the past and the status quo with regard to the adoption of current farming practices in relation to climate-smart agriculture (CSA) by communal livestock farmers in South Africa. The impact of animal agriculture on climate change was also deliberated. Different internet search engines and databases, like Google Scholar, EBSCO Host, Science Direct, etc., and peer-reviewed articles, books, and government and academic reports were employed to provide information to adequately address the aim. Keywords like “the impact of climate smart agriculture on communal livestock farmers”, “communal livestock in South Africa”, “communal farming and technology adoption”, etc. were used for the search. Various issues pertaining to the impact of animal agriculture on climate change, greenhouse gas (GHG) emissions, and implementing CSA in livestock farming were extensively discussed. The findings indicated that there is limited research on the adoption of CSA by communal livestock farmers in South Africa. The review concluded that strategies to adopt modern technology in communal areas should address the issues to enhance knowledge of farmers and all stakeholders, through increasing awareness, trainings, and skills programs. The government should build local capacity in innovative and affordable water and agricultural solutions, and reliable financial mechanisms should be in place to implement innovative sound technologies in communal areas.

Role of Climate-Smart Agriculture in Enhancing Farmers' Livelihoods and Sustainable Forest Management: A Case of Villages Around Songe-Bokwa Forest, Kilindi District, Tanzania

Climate change and variability are happening in Tanzania, and their impacts are felt in the socioeconomic sectors, as they have resulted in the decline of agricultural productivity and increased deforestation. This study assessed the actual changes in deforestation levels and improved livelihoods caused by the adoption of climate-smart agriculture (CSA) practices. Data were collected through semi-structured household questionnaires, focus group discussions, key informants, GIS tools, and observations. Quantitative data were analyzed using Arc GIS 10.3 software, SPSS version 16.0, and Excel Spreadsheet, while qualitative data were analyzed through content analysis techniques. The findings show that farmers' livelihoods have improved and also deforestation levels decreased as a result of increased adoption of CSA during the past 30 years. Deforestation levels have been reduced from 64.6 ha per year during 1985–1995 to 11.8 ha per year during 1995–2005 and to 10.4 ha per year during 2005–2017. Further findings showed that the agricultural area had been decreased from 4,534 ha in 1995 to 4,039 ha in 2017, which is evidence that after the scale-up of CSA from the year 1992, agricultural practices were not contributing much to deforestation, while increased crop production and income were observed, which in turn supported farmers in enhancing food security, purchasing production tools, livestock, and payment for medical services, school fees, and construction of modern houses. We found that adoption of CSA systems such as agroforestry (i.e., agrisilviculture) is very crucial for improving farmer's livelihoods and reducing deforestation. Therefore, farmers need close mentoring on climate-resilient agroforestry systems, such as agrisilviculture.

CLIMATE-SMART AGRICULTURE FROM THE INTENSIVE VEGETABLE FARMERS PERSPECTIVAL

Climate-Smart Agriculture (CSA) has been identified as the best way forward to contribute to mitigating climate change for enhanced agriculture productivity. The study was conducted in Asokwa Municipal in the Ashanti region of Ghana as a case study with the following objectives; to identify existing CSA practices adopted by vegetable farmers; to evaluate existing institutions and their role in facilitating the adoption of CSA practices and to establish the likely factors that may promote or inhibit adoption of CSA practices. Purposive sampling was used to select twenty-seven participants due to restrictions on COVID-19 and limited resources. The significance of this method is that participants are selected by virtue of their capacity to provide rich-textured information relevant to the phenomenon under study. Results from the field showed that the commonly adopted CSA practices were improved crop varieties, irrigation and manure management scoring 100% each followed by crop rotation (66.7%). The least adopted practices, from the highest to the lowest were agroforestry (12.5%), mulching and rain harvesting (8.3%) each and compost application with 4.2%. The key factors inhibiting the adoption of CSA consist of insufficient information, water scarcities and financial constraints. The conclusion drawn was that the Agricultural sector must become climate-smart to successfully tackle current food security and climate change challenges. Beyond doubt, it will require management and governance practices based on ecosystem approaches that involves multi-stakeholder and multi-sectoral coordination and cooperation.

Adoption of climate‐smart agriculture among smallholder farmers: Does farmer entrepreneurship matter?

Climate change poses significant challenges to agriculture, with serious impacts on smallholder farmers’ food security and livelihoods. Climate-smart agriculture (CSA) is being promoted to facilitate climate change adaptation and mitigation. While there is evidence that CSA supports smallholders’ adaption to climate change, the rate of CSA adoption remains low, particularly in sub-Saharan Africa. Previous studies have explained the low adoption based on generic factors such as farm, farmer, institutional and location characteristics, yet little is known about the role of farmers’ cognitive traits. This study investigates the influence of farmer entrepreneurial orientation, a cognitive trait reflecting a farmer’s innovativeness, proactiveness and propensity to take risks. We use data from smallholder potato farmers in Kenya and estimate a set of multivariate probit models to analyse the adoption decisions. Results show that risk-taking positively influences the adoption of irrigation, changing cultivation calendar, use of certified seed, crop rotation and soil testing. Proactiveness is positively related to the use of irrigation, changing the cultivation calendar and use of certified seed, while it is negatively related to intercropping. Contrary to our hypothesis that innovative farmers are more likely to adopt CSA practices, we find a negative relation between innovativeness and the use of certified seed. After categorizing CSA practices based on the main resources required, we find that risk-taking is positively associated with the adoption of practices that require high intensity of skilled labour and financial resources. Innovativeness is negatively associated with practices that require high intensity of financial resources. Lastly, we find proactiveness to be positively associated with the adoption of finance-intensive practices but negatively associated with unskilled-labour-intensive practices. These findings imply, first, that development practitioners should consider the interrelations among CSA practices and farmer entrepreneurial orientation in designing development interventions. Second, policy-makers need to create an environment conducive to farmer entrepreneurship as an indirect way to support the adoption of appropriate CSA practices.

Linking Farmers’ Risk Attitudes, Livelihood Diversification and Adoption of Climate Smart Agriculture in the Nyando Basin of Western Kenya

Climate smart agriculture (CSA) is an innovation meant to reduce the risks in agricultural production especially among smallholder farmers. Some of the factors that influence its adoption are farmers’ risk attitude and household livelihood diversification. This study sought to determine how risk attitude and livelihood diversification influence the adoption of CSA in the Nyando basin. The study utilized primary data gathered from 122 households in the region and employed multivariate probit (MVP), ordered probit (OP) and descriptive statistics in data analysis using Stata 14.0. The results indicated that farmers’ risk attitudes had a significant negative influence on the adoption of terraces, ridges and bunds and influenced the intensity of adoption of these CSA technologies. Household livelihood diversification significantly and negatively influenced adoption of stress tolerant livestock but not the intensity of adoption of given CSA technologies. . The government and potential donors should intensify education on CSA technologies that reduce risk in farming and how they mitigate against the effects of climate change so that more farmers can embrace them.

Adaptation of agroforestry as a climate smart agriculture technology in Bangladesh

Geographical position makes Bangladesh globally as one of the most vulnerable countries to climate change. It is observed that climate change has become a burning issue jeopardizing the agricultural production in the country. Considering the issue, adoption of climate smart agriculture (CSA) is indispensable for mitigating climate change by reducing emissions, capturing the atmospheric carbon and storing it in biomass and soil. The study reviewed the literature to evaluate the potentiality of agroforestry practices as climate smart agriculture to mitigate climate change impacts. Agroforestry has traditionally contributed to climate resilience in Bangladesh by integrating trees and/or crops into different land use practices. Agroforestry systems enhance resilience to climate change through increasing tree cover, carbon sequestration, increasing production, reducing threats to associated crops, creating favourable microclimate to support associated crops, reducing harvest pressure on natural forests, conserving biodiversity and cycling nutrients. Globally 23 countries recognize agroforestry as a mitigation priority, whereas 29 as an adaptation priority. Bangladesh has potential to expand agroforestry practices to mitigate climate change and boost food security. From socioeconomic and ecological point of views as well, agroforestry offers strong potential to evolve climate smart agricultural practices supporting food security, and adaptation and mitigation. Agroforestry practices should increase in climate vulnerable agroecosystems of Bangladesh.
 Int. J. Agril. Res. Innov. Tech. 11(1): 49-59, June 2021

A Review of Climate-Smart Agriculture Research and Applications in Africa

Funders and governments are promoting climate-smart agriculture (CSA) as key to agricultural adaptation under climate change in Africa. However, with its progressions still at the policy level and framework description, there is a need to understand the current developments and activities conducted within the CSA research field. We conducted a scientific mapping and analyses of CSA research studies in Africa to understand the (i) thematic trends, (ii) developments, (iii) nature of collaboration networks, and (iv) general narratives supporting the adoption and application of CSA in Africa. Results show that several African countries had endorsed CSA as an approach to addressing agricultural productivity challenges, supporting adaptation strategies, and building resilience to climate change. However, a majority do not have national Climate-Smart Agriculture Investment Plans (CSAIPs). Additionally, CSA research in Africa is still developing, with only a few countries dominating the research outputs. For a successful implementation of CSA, a framework provided by the CSAIPs must be established to guide the processes. This will provide a framework to guide the integration of government programs, policies, and strategic plans by combining other inputs from stakeholders to support decision making and implementation of CSA.

Adoption patterns of Climate-Smart Agriculture in integrated crop-livestock smallholder farming systems of Zimbabwe

ABSTRACT This paper maps adoption patterns and determinants of Climate-Smart Agriculture (CSA) technologies. A multivariate analysis approach that combined principal component analysis (PCA) and cluster analysis was employed and findings showed that patterns of CSA varied across household typologies. Resource endowed, experienced farmers have a high use of crop rotation and minimum tillage that require more resources while resource-constrained clusters shunned those. Double hurdle model results showed that adoption of CSA is significantly affected by distance to the tarred road, access to weather information, livestock income share and ownership of transport asset. Adoption intensity is significantly affected by the sex of household head, labour size, frequency of extension contact, credit access, access to weather forecasts, off-farm income, distance to input and output markets, number of traders and asset ownership. The study recommends policies that ensure access to credit and weather forecasts coupled with frequent access to extension services.

Do ARMA Models Provide Better Gap Filling in Time Series of Soil Temperature and Soil Moisture? The Case of Arable Land in the Kulunda Steppe, Russia

The adoption of climate-smart agriculture requires the comprehensive development of environmental monitoring tools, including online observation of climate and soil settings. They are often designed to measure soil properties automatically at different depths at hour or minute intervals. It is essential to have a complete dataset to use statistical models for the prediction of soil properties and to make short-term decisions regarding soil tillage operations and irrigation during a vegetation period. This is also important in applied hydrological studies. Nevertheless, the time series of soil hydrological measurements often have data gaps for different reasons. The study focused on solving a problem of gap-filling in hourly time series of soil temperature and moisture, measured at the 30 cm depth using a weighted gravitation lysimeter station while meteorological data were recorded simultaneously by a weather station. The equipment was installed in the Kulunda Steppe in the Altai Krai, Russia. Considering that climate conditions affect soil temperature and moisture content directly, we did a comparative analysis of the gap-filling performance using the three imputation methods—linear interpolation, multiple linear regression, and extended ARMA (p,q) models with exogenous climatic variables. The results showed that, according to the minimum of the mean absolute error, ARMA (p,q) models with optimally selected order parameters, and an adaptive window, had some advantages compared to other single-imputation methods. The ARMA (p,q) model produced a good quality of gap-filling in time series with the mean absolute error of 0.19 °C and 0.08 Vol. % for soil temperature and moisture content, respectively. The findings supplemented the methodology of hydrological data processing and the development of digital tools for the online monitoring of climate and soil properties in agriculture.

Climate-Smart Agriculture on Small-Scale Farms: A Systematic Literature Review

Overpopulation and climate change are among the greatest challenges the world faces. Climate-smart agriculture (CSA) provides an adequate answer by aiming for higher productivity, resilience, as well as GHG emission reduction. As small-scale farms are the cornerstone of the agricultural sector, especially in developing countries, their greater involvement in climate-related actions is essential. CSA practices seek a higher and more stable income sustainably. This systematic literature review aims to provide an overview of how CSA is realized on small-scale farms, what the major CSA practices applied are, and what factors motivate and hamper higher CSA adoption. Based on 30 selected articles, the major message of the literature is a case/site-specific approach due to the tremendous heterogeneity of small-scale farms. As agricultural production is characterized by high risks and low returns, small-scale farmers must consider the length of the payback period when they decide on any CSA practices. This is the reason smallholdings, who implement any CSA practices, must achieve economic benefits, otherwise, they need to be compensated for providing environmental benefits. Moreover, simpler methods with low labor intensity are often applied. Access to the different financial instruments and inputs, knowledge/education/information, and land use security are the critical factors of the CSA adoption. Furthermore, it is worth mentioning that, unlike off-farm activities/incomes, full-time farming is a serious commitment that positively influences CSA adoption.

Evaluating Knowledge, Attitudes and Practices of Livestock Value Chain Actors on Climate Smart Agriculture/Livestock (CSA/L) in Kajiado County, Kenya

The livestock sector is a major contributor to food security and is mainly practiced by the rural poor but faces climate related threats. While there are many natural occurrences impacting the average global temperature and consequently livestock production, human activities in the sector continue to be a main contributing factor to climate change as a result of greenhouse gas emissions. However there has been little attention paid to integration of climate smart initiatives into livestock production and beyond into the value chains especially in ASALs where 80% of livestock production is found. A mixed method approach was used to evaluate KAP (knowledge, attitudes and practices) of the Livestock value chain actors (MSMEs). Linking Climate Smart Agriculture (CSA) to MSMEs within the livestock sector value chains is imperative to producers’ engagements within the livestock value chain, reducing climate risks and increasing resilience. The study revealed that actors relate climate change to weather variability, extreme weather conditions and drought and CSA/Livestock as a concept is not well understood; there is a general knowledge of climate change albeit with low understanding on its relationship with livestock, and concern among the value chain actors on the impacts of climate change on productivity and the willingness to take part in actions aimed at protecting the environment and mitigating climate change. There is need to provide context-based CSA technologies, innovation, and management practices (TIMPs) tailored to pastoral livestock production and ASALs value chains, strengthening of peer-to-peer learning and improving extension services to increase awareness, trainings and enhance adoption of CSA since most actors interact with extension officers, and with each other along the chains.

Climate-smart agriculture, cropland expansion and deforestation in Zambia: Linkages, processes and drivers

There is an urgent need to increase agricultural production in order to meet increasing food demands driven in part by population growth and changing dietary preferences. Doing so by expanding area cultivated into forests has important environmental consequences, including engendering climate change. Climate-smart agriculture (CSA) is considered an important option to increase agricultural productivity and resilience, intensify agricultural production, and possibly reduce cropland expansion. This paper uses nationally representative survey data to assess the extent, intensity and drivers of cropland expansion, and applies an instrumental variable approach to determine the extent to which CSA reduced cropland expansion in Zambia. We find that one-fifth of the 7241 farm households surveyed in 2019 expanded cropland between the 2016/2017 and 2017/2018 farming seasons, clearing on average 0.18 ha, but only 13% expanded their cropland into intact forests, clearing an average of 0.09 ha of forestland per household per year. In aggregate, cropland expansion by smallholder into forests represents about 60% of the estimated 250,000 ha of forests lost per year in Zambia. Most households expanded cropland because they needed to meet subsistence food requirements and a few others in response to market opportunities. We did not find statistically significant associations between adopting CSA and cropland expansion in our national sample. Thus, given the low extent and intensity of CSA adoption as defined in this paper, relying only on CSA as a means to spare forests may be risky. These findings have important implications on CSA practice definition, promotion, framing and adoption.