Design of a Soil-based Climate-Smartness Index (SCSI) using the trend and variability of yields and soil organic carbon

Arenas-Calle, Laura N.; Ramírez-Villegas, Julián; Challinor, Andrew J.

doi:10.1016/j.agsy.2021.103086

Cited by 5 publications

(2 citation statements)

References 84 publications

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“…• Longer-term mitigation trends, as measured by the soil-based CSI of Arenas-Calle et al (2021), and projections of GHG emissions and SOC content in iFEED (Jennings et al, 2022).…”

Section: Recent Progress In Assessing Trade-offs and Synergiesmentioning

confidence: 99%

Measuring the Effectiveness of Climate-Smart Practices in the Context of Food Systems: Progress and Challenges

Challinor

Arenas-Calles

2022

Front. Sustain. Food Syst.

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The concept of, and case for, Climate-Smart Agriculture (CSA) has been defined since at least 2010, when the FAO published its report outlining the concept and the ways in which policy, practice and finance might orient toward CSA objectives (FAO, 2010). The FAO website at the time of writing gives the three main objectives of CSA as "sustainably increasing agricultural productivity and incomes; adapting and building resilience to climate change; and reducing and/or removing greenhouse gas emissions, where possible." 1 Subsequently, research and practice have focussed on identifying how climate-smart a specific strategy or practice is (Campbell, 2017;Lipper and Zilberman, 2018)-and thus methodologies for measurement and assessment of CSA have become important (see e.g., Thornton et al., 2018). The feasibility of CSA interventions at scale, beyond local successful cases, has also become an important topic (Aggarwal et al., 2018). Promoters of CSA such as the FAO and CGIAR ultimately seek reliable and transparent methods for scaling up, prioritization, and monitoring of CSA interventions. Such assessments depend on underpinning research.Contributions to the Climate Smart Food Systems (CSFS) Section of Frontiers in Sustainable Food Systems (hereafter "Frontiers in CSFS") have provided some of the underpinning research for CSA. As laid out in the journal scope, 2 submissions should include some assessment of each of the three pillars of CSFS-adaptation, mitigation and increasing productivity (the latter is sometimes conceptualized more broadly as food security). Contributions have ranged from studies with a clear focus on one or two pillars, with a third being treated relatively lightly (see e.g., Jennings et al., 2020) to submissions that focus squarely on all three pillars (e.g., Arenas-Calle et al., 2019).Soon after its inception, Whitfield et al. (2018) set out six research priorities for the Frontiers in CSFS: (i) What is climate smartness and how do we measure it?; (ii) What are the social and economic impacts of climate smart agriculture? (iii) What trade-offs emerge from climate-smart practices, and at what levels do we consider trade-offs to be safe and just?; (iv) How do theory-based climate-smart actions differ across spatial scale?; what are the theoretical and practical feasibility and consequences of scaling up actions within and across systems?; (v) Which climate-smart

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“…• Longer-term mitigation trends, as measured by the soil-based CSI of Arenas-Calle et al (2021), and projections of GHG emissions and SOC content in iFEED (Jennings et al, 2022).…”

Section: Recent Progress In Assessing Trade-offs and Synergiesmentioning

confidence: 99%

Measuring the Effectiveness of Climate-Smart Practices in the Context of Food Systems: Progress and Challenges

Challinor

Arenas-Calles

2022

Front. Sustain. Food Syst.

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“…Although many researchers have proposed the use of numerical index for evaluating climate smart agriculture practices ( Arenas-Calle et al. (2019) ; Arenas-Calle et al. (2021) ); Challinor et al., 2022 ), those were less comprehensive (not based on three principles of climate smart agriculture).…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria assessment to screen climate smart rice establishment techniques in coastal rice production system of India

et al. 2023

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IntroductionConventional rice production techniques are less economical and more vulnerable to sustainable utilization of farm resources as well as significantly contributed GHGs to atmosphere.MethodsIn order to assess the best rice production system for coastal areas, six rice production techniques were evaluated, including SRI-AWD (system of rice intensification with alternate wetting and drying (AWD)), DSR-CF (direct seeded rice with continuous flooding (CF)), DSR-AWD (direct seeded rice with AWD), TPR-CF (transplanted rice with CF), TPR-AWD (transplanted rice with AWD), and FPR-CF (farmer practice with CF). The performance of these technologies was assessed using indicators such as rice productivity, energy balance, GWP (global warming potential), soil health indicators, and profitability. Finally, using these indicators, a climate smartness index (CSI) was calculated.Results and discussionRice grown with SRI-AWD method had 54.8 % higher CSI over FPR-CF, and also give 24.5 to 28.3% higher CSI for DSR and TPR as well. There evaluations based on the climate smartness index can provide cleaner and more sustainable rice production and can be used as guiding principle for policy makers.

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Climate Smart Agriculture: Mitigation and Adaptation Strategies at the Global Scale

Azadi

Siamian

Burkart

et al. 2022

Climate-Induced Innovation

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Design of a Soil-based Climate-Smartness Index (SCSI) using the trend and variability of yields and soil organic carbon

Cited by 5 publications

References 84 publications

Measuring the Effectiveness of Climate-Smart Practices in the Context of Food Systems: Progress and Challenges

Measuring the Effectiveness of Climate-Smart Practices in the Context of Food Systems: Progress and Challenges

Multi-criteria assessment to screen climate smart rice establishment techniques in coastal rice production system of India

Climate Smart Agriculture: Mitigation and Adaptation Strategies at the Global Scale

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