Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies

Mwongera, Caroline; Shikuku, Kelvin Mashisia; Twyman, Jennifer; Läderach, Peter; Ampaire, Edidah L.; Asten, Piet J.A. van; Twomlow, Stephen; Winowiecki, Leigh A.

doi:10.1016/j.agsy.2016.05.009

Cited by 137 publications

(108 citation statements)

References 27 publications

(28 reference statements)

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“…Relative priority of each of the objective of CSA fluctuates with locations, for example, small farmers of developing countries need more emphasis on productivity and adaptive capacity (Neufeldt et al 2013;Campbell et al 2014). CSA has been getting a mounting attention particularly in developing world due to its capabilities to enhance agricultural productivity and agroecosystem resilience while reducing GHG emission (Grainger-Jones 2011; Long et al 2016;Mwongera et al 2017). …”

Section: Agriculture and Climate Change: A Two-way Relationshipmentioning

confidence: 99%

Traditional agriculture: a climate-smart approach for sustainable food production

Singh

2017

Energ. Ecol. Environ.

225

118

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Sustainable food production is one of the major challenges of the twenty-first century in the era of global environmental problems such as climate change, increasing population and natural resource degradation including soil degradation and biodiversity loss. Climate change is among the greatest threats to agricultural systems. Green Revolution though multiplied agricultural production several folds but at the huge environmental cost including climate change. It jeopardized the ecological integrity of agroecosystems by intensive use of fossil fuels, natural resources, agrochemicals and machinery. Moreover, it threatened the age-old traditional agricultural practices. Agriculture is one of the largest sectors that sustain livelihood to maximum number of people and contribute to climate change. Therefore, a climate-smart approach to sustainable food production is the need of hour. Traditional agriculture is getting increased attention worldwide in context of sustainable food production in changing climate. The present article advocates traditional agriculture as a climate-smart approach for the sustainable food production and also deliberates the correlation between climate change and agriculture.

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Section: Agriculture and Climate Change: A Two-way Relationshipmentioning

confidence: 99%

Traditional agriculture: a climate-smart approach for sustainable food production

Singh

2017

Energ. Ecol. Environ.

225

118

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“…Prioritizing context‐specific agriculture technologies remains the greatest challenge. Works in Tanzania and Uganda reveal heterogeneity not only across the sites, but also among different gender groups and agro‐ecological zones to target interventions (Mwongera et al, ), such that consensus‐driven frameworks are needed to promote a regional approach to agriculture for development (Brandt, Kvakić, Butterbach‐Bahl, & Rufino, ). Domains to target technological innovations and development efforts to address the problem of poor productivity of smallholder agricultural livestock systems must be designed to target socially diverse and spatially heterogeneous farms (Tittonell et al, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable development in East Africa: impact evaluation of regional agricultural development projects in Burundi, Kenya, Rwanda, Tanzania, and Uganda

Warinda

Nyariki

Wambua

et al. 2020

Natural Resources Forum

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Investments in agricultural technologies, capacity building and policy harmonization are needed to support sustainable development across Africa. Regional development projects can facilitate the adoption of agricultural technologies and innovations across nation‐state borders and generate benefits for shared prosperity. This paper uses panel data from 1,160 smallholder households including beneficiaries and non‐beneficiaries from five countries in East Africa ‐ Burundi, Kenya, Rwanda, Tanzania, and Uganda. From a pool of over 90 projects implemented over a span of 15 years, 23 regional projects are included in this study. The major economic benefits to smallholder participants are higher crop productivity and income, access to adaptable technologies, access to markets, higher livestock and milk production, gender equality, enhanced food security, resilience and capacity building for uptake and scaling up of future innovation platforms. For example, the adoption of low‐cost tissue culture banana by the beneficiaries increased their incomes by 15% in Rwanda while the adoption of appropriate land and water management technologies increased the potato yields from 2.8 tons (USD 2,840/ha) to over 7.5 tons (USD 7,410/ha) in Kenya. The beneficiaries ensured value added to commodities like bananas (for export) and orange‐fleshed sweet potatoes (a nutrition‐sensitive intervention for enhancing domestic intake of vitamin A) in Burundi, Kenya, Rwanda and Uganda. Additionally, milk production increased from 6 to 11 L per cow per day in Uganda and from 6 to 8 L per cow per day in Tanzania, with increases in sales generating USD 115 per cow per month above the non‐beneficiaries. These results are supported by previous studies on technology adoption, investments in agriculture and well‐being outcomes. Our findings with the higher farm income Difference‐in‐Differences (DiD) estimator for the female beneficiaries compared to male beneficiaries might have important implications for investing in regional development projects that will close the gender gap in agricultural productivity in Africa. Regional projects can also support post‐conflict development efforts for food security and peace in fragile contexts such as in Burundi. Our findings might serve as an input to the African Union's Comprehensive Africa Agriculture Development Programme, localization of the United Nations Sustainable Development Goals related to food security and agriculture in Africa and an input to monitoring, evaluation and learning.

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“…() and climate‐smart agriculture rapid appraisal (CSA‐RA) by Mwongera et al . (). However, there are a limited number of studies that provide a tool/method to do quantitative impact analysis and the few that do exist are data intensive and involve subject matter expertise, including use of crop models and production functions (Shirsath et al, ; Webber et al, ).…”

Section: Introductionmentioning

confidence: 97%

“…To prioritize, it becomes important to understand the individual and combined impact, trade-offs and synergies of interventions on the three main objectives of CSA: productivity, adaptation and GHG mitigation. Multiple prioritization frameworks exist, consisting of a four-phase prioritization framework proposed by Andrieu et al (2017), consensus-driven decision support framework 'targetCSA' by Brandt et al (2017) and climate-smart agriculture rapid appraisal (CSA-RA) by Mwongera et al (2017). However, there are a limited number of studies that provide a tool/method to do quantitative impact analysis and the few that do exist are data intensive and involve subject matter expertise, including use of crop models and production functions (Shirsath et al, 2017;Webber et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Prioritizing Land and Water Interventions for Climate‐smart Villages

Alam

Sikka

2019

Irrigation and Drainage

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Climate‐smart villages mean implementing a portfolio of best locally suited climate‐smart agricultural practices in an integrated manner to build resilience of the local community. Land and water interventions form a crucial part of a climate‐smart agricultural practices portfolio, with water availability being the key limiting factor of crop growth. To aid in this decision‐making process of prioritizing land and water interventions, a simple and robust spreadsheet tool based on a water balance is developed. The tool integrates and simulates impacts of land and water interventions on the water balance to determine their impact across climate‐smart agricultural objectives of agricultural productivity, climate change adaptation and mitigation. The tool was implemented in two villages in the state of Madhya Pradesh, India. The tool performs well in simulating village water balance and its impact on the yield of rainfed and irrigated crop areas. Results show that considerable differences exist within the portfolio of land and water interventions, with only a combination of supply, demand and moisture conservation practices being able to help achieve climate‐smart agricultural objectives. In the best case scenario, yield can be increased by up to 10% and greenhouse gas emission intensity reduced up to 17%. Comparison with stakeholder perception analysis highlights the utility of this tool in providing additional quantitative information in the decision‐making process. © 2019 John Wiley & Sons, Ltd.

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Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies

Cited by 137 publications

References 27 publications

Traditional agriculture: a climate-smart approach for sustainable food production

Traditional agriculture: a climate-smart approach for sustainable food production

Sustainable development in East Africa: impact evaluation of regional agricultural development projects in Burundi, Kenya, Rwanda, Tanzania, and Uganda

Prioritizing Land and Water Interventions for Climate‐smart Villages

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