CCAFS Journal Articles

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    The uncertainty of crop yield projections is reduced by improved temperature response functions
    (Journal Article, 2017-07-17) Wang, Enli; Martre, Pierre; Zhao, Zhigan; Ewert, Frank; Maiorano, Andrea; Rötter, Reimund P.; Kimball, Bruce A.; Ottman, Michael J.; Wall, Gerard W.; White, Jeffrey W.; Reynolds, Matthew P.; Alderman, Phillip D.; Aggarwal, Pramod K.; Anothai, Jakarat; Basso, Bruno; Biernath, Christian; Cammarano, Davide; Challinor, Andrew J.; De Sanctis, Giacomo; Doltra, Jordi; Dumont, Benjamin; Fereres, Elias; Garcia-Vila, Margarita; Gayler, Sebastian; Hoogenboom, Gerrit; Hunt, Leslie A.; Izaurralde, Roberto C.; Jabloun, Mohamed; Jones, Curtis D.; Kersebaum, Kurt C.; Koehler, Ann-Kristin; Liu, Leilei; Müller, Christoph; Naresh Kumar, Soora; Nendel, Claas; O'Leary, Garry; Olesen, Jørgen E.; Palosuo, Taru; Priesack, Eckart; Eyshi Rezaei, Ehsan; Ripoche, Dominique; Ruane, Alex C.; Semenov, Mikhail A.; Shcherbak, Iurii; Stöckle, Claudio; Stratonovitch, Pierre; Streck, Thilo; Supit, Iwan; Tao, Fulu; Thorburn, Peter; Waha, Katharina; Wallach, Daniel; Wang, Zhimin; Wolf, Joost; Zhu, Yan; Asseng, Senthold
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    Outcome-oriented multi-stakeholder network design: four innovation spaces to accelerate food system transformation
    (Journal Article, 2022) Korner, Jana; Thornton, Philip K.; Klerkx, Laurens
    Multi-stakeholder networks fulfil crucial functions for transforming our food systems in the face of climate change, but there is scant research on how the form of these networks is connected to particular aims. Based on interviews with leaders or founders of 15 multi-stakeholder networks, we build a framework on outcome-oriented network design: We identify four different network designs, which emerge from a framework of ten design variables, each with different characteristics. We coin these network designs ?innovation spaces? and observe the main challenges and trade-offs among and between different sets of design variables. These, as well as the networks? main trajectories over time, lead us to introduce a simple innovation space grid model along the axes of structure and permeability. Each space accommodates a different type of stakeholder interaction which leads to the desired change dynamics and network goals. The concept of innovation spaces provides a differentiated view with regard to how multi-stakeholder networks innovate and learn. We also identify a space for an as yet neglected group, self-organized social movements. The innovation spaces concept can cater for long-term as well as short-term multi-stakeholder initiatives, and reflections on inclusivity and addressing power inequalities. It can help designers and leaders of new and existing networks to take improved decisions on how networks could complement their respective innovation processes, thus accelerating food system transformation.
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    Role of the interaction space in shaping innovation for sustainable agriculture: Empirical insights from African case studies
    (Journal Article, 2023-05) Hermans, T.D.G.; Smith, H.E.; Whitfield, S.; Sallu, S.M.; Recha, John W.M.; Dougill, Andrew J.; Thierfelder, Christian L.; Gama, M.; Bunderson, W.T.; Museka, R.; Doggart, N.; Meshack, C.
    The challenges of climate change, food insecurity and land degradation have all led to a push for ‘scaling’ innovation for sustainable agriculture. For this purpose, international agricultural development projects often use farm trials or farmer field schools as a way for farmers to engage with technically-constructed knowledge and empirical evidence. However, the role of such trials in the socio-political construction of knowledge is often overlooked. This study conceptualises agricultural development interventions as taking place within an interaction space between researchers and farmers. Unpacking the processes and dynamics of the interaction space from four case studies across Malawi and mainland Tanzania, we present findings which evaluate: 1) how agricultural innovation takes place in the context of funded agricultural development projects, and 2) how space for technical and social knowledge construction can be opened up or closed down in these contexts. Results show that farm trials provide a basis for interaction, but that knowledge exchange in these contexts also require knowledge brokers for successful implementation and scaling. Both knowledge brokers, and the trials themselves shape social dynamics, often simultaneously facilitating social learning for some, but contributing to social exclusions for others. A strong connection was identified between the design of the interaction space and social dynamics evident within it, indicative of the close interconnection between the processes of socio-political and technical construction of knowledge. Key factors open or close the interaction space, such as the continuity of knowledge brokers and the complexity of technologies. Improving the effectiveness of innovation for sustainable agriculture, requires opening up the interaction space to enable more effective and sustained co-creation of technologies, social learning and the collaborative construction of shared knowledge.
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    Enhancing climate services design and implementation through gender-responsive evaluation
    (Journal Article, 2022-09) Gumucio, Tatiana; Hansen, James; Carr, Edward R.; Huyer, Sophia; Chiputwa, Brian; Simelton, Elisabeth; Partey, Samuel T.; Schwager, Saroja
    Assessing and responding to gender inequalities, and promoting women's empowerment, can be critical to achieving the goals of climate services, such as improved climate resilience, productivity, food security and livelihoods. To this end, our paper seeks to provide guidance to rural climate service researchers, implementing organizations, and funders on gender-responsive evaluation of climate services, including key questions to be asked and appropriate methodology. We draw on case studies of rural climate services in Mali, Rwanda and Southeast Asia to illustrate how gender-responsive evaluations have framed and attempted to answer questions about climate information needs, access to information and support through group processes, and contribution of climate services to empowerment. Evaluation of how group participatory processes can enable women's and men's demand for weather and climate information can help close knowledge gaps on gender equity in access to climate services. Quantitative methods can rigorously identify changes in demand associated with varying interventions, but qualitative approaches may be necessary to help assess the nuances of participatory communication processes. Furthermore, evaluation of how women's and men's information needs differ according to their roles and responsibilities in distinct climate-sensitive decisions can help assess gender inequities in climate services use. Evaluation that critically considers the local normative and institutional environment influencing empowerment can help identify pathways for climate services to contribute to women's empowerment. Qualitative and mixed method methodologies can be helpful for assessing the normative and institutional changes upon which empowerment depends. Although evaluations are often conducted too late to inform the design of time-bound projects, they can contribute to improvements to climate services if results are shared widely, if implementers and funders consistently factor evidence and insights from prior evaluations into the design of new initiatives, and if ongoing climate service initiatives conduct preliminary evaluations regularly to support mid-course adjustments.
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    Stakeholder engagement in gender and climate change policy processes: Lessons from the climate change, agriculture and food security research program
    (Journal Article, 2022-11) Mulema, Annet A.; Cramer, Laura K.; Huyer, Sophia
    With the rapid increase in climate shocks and hazards, policies governing climate change have proliferated while the integration of gender considerations to address gender-differentiated needs and impacts has remained a challenge. Stakeholder engagement is touted as a critical ingredient in climate change decisions and governance at different levels to achieve equitable outcomes. However, effective methods and outcomes of gender-responsive stakeholder engagement processes for climate change policy development are rarely published.We apply the framework of 10 principles for effective agricultural research for development programs to analyze the stakeholder engagement processes in the context of the CGIAR's Research Program on Climate Change, Agriculture and Food Security gender and climate change policy projects. We analyze both primary and secondary data to understand the categories of stakeholders engaged, methods of engagement, the outcomes and lessons learned across five regions.Our results show that analysis of the existing policies and programs is a very critical entry point for identifying the points of leverage, the types of stakeholders to engage and how to engage them in the processes that focus on integrating gender in climate policies. Co-learning and co-development of knowledge products cultivate interest and commitment among stakeholders to address gender dynamics, although systematic monitoring and evaluation remains a challenge. This has implications for effective stakeholder engagement in mainstreaming gender in climate policies and evidence-based policy formulation for sustainable agriculture and food systems. Working with influential stakeholders, with the capacity and interest to address gender considerations yields more positive results. Mechanisms to address power relations need to be in place for gender considerations to be voiced and integrated and include women in decision-making processes.
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    What does CGIAR do to address climate change? Perspectives from a decade of science on climate change adaptation and mitigation
    (Journal Article, 2022-12) Nowak, Andreea C.; Cramer, Laura K.; Schutz, Tonja; Poulos, Allison; Yuling Chang; Thornton, Philip K.
    CGIAR consists of a network of international publicly funded agricultural research for development institutes. Over five decades it has worked to increase food abundance, reduce hunger and poverty rates, and lower the geographical footprint of agriculture in lower- and middle-income countries. CGIAR's first formalised research program on climate change was set up in 2009. Here we report on an analysis of 300 outcomes generated over the lifetime of this program, which ran until 2021. Outcomes were characterised in relation to the climate objective, geography, thematic scope, and contribution to global goals. More than half of the outcomes analysed were related to policies for agriculture development under climate change. Twenty-six percent of outcomes related to climate, information and financial services, and 22 percent were related to organisational programming. Most outcomes analysed were at an early stage of maturity, focusing on design and planning stages of policies, strategies, and investments. Fewer than five percent of outcomes had evidence of impact at scale. Outcomes were facilitated by a wide network of partners and contributed to more than ten Sustainable Development Goals. The results of the analysis show the value of outcome-oriented science in being able to harness diversity, balance strategy with opportunism, plan flexibly, work across multiple vulnerability contexts, and allocate resources towards outcomes. These elements have played a significant role in fostering change across contexts, in adjusting research to emerging needs and context changes, in creating conditions for spillovers, and in ensuring global relevance. To transform the food system, the research for development agenda needs to be bolder. It will require more outcomes of various types, achieved through diverse partnerships, spanning a diversity of geographies, vulnerable contexts, and priorities. Significant and intentional investments in strengthening monitoring, evaluation, reporting and learning capacity will be required to further realize the potential for outcome-oriented research.
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    Myanmar local food systems in a changing climate: Insights from multiple stakeholders
    (Journal Article, 2022-06) Thant, Phyu Sin; Espino, Apple; Soria, Giulia; Myae, Chan; Rodríguez, Edgar; Barbon, Wilson John
    Understanding the impacts of climate on food systems is vital to identifying the most effective food system interventions to support climate-smart agriculture. The study examines how climate change is affecting food systems and what can be done to mitigate its effects. Two methodological approaches were combined in the study. The first was an Asia-wide regional consultation and forum to explore a range of initiatives that transform food systems among stakeholders working in Myanmar. The second method was an in-depth food systems study employing qualitative methods in Htee Pu Village in the Myanmar Central Dry Zone, a research site of IIRR since 2017. Key informant interviews (KII) and focus group discussions (FGD) were conducted to capture insights and data. Food systems consist of components, drivers, actors, and elements that interact with one another and other systems such as social, health, and transportation. The Myanmar food system is complex. Making it sustainable and transformative requires a mix of different approaches implemented at various scales from local to national. It also requires actions that engage various actors in the system from producers to consumers. The study of the local food system of Htee Pu Village indicates that the village has a rural and traditional food system and that climate change is one of its key food system drivers. Climate change negatively impacted farming and agricultural practices and disrupted the input supply of the local food systems. The role of intermediaries such as traders and consolidators is critical in the supply and distribution of food in the Central Dry Zone. Improved and more connected roads are essential for the supply and distribution of food for the village. The informal market outlets serve as the primary food source or sale points for households. Household diets are inadequate in quantity as the population remains highly dependent on their crops for their diets due to relatively low income. Climate adaptation must be embedded in the local level management to mitigate the effect of climate change in food production in the longer term.
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    The mitigating role of climate smart villages to the impacts of COVID-19 pandemic in the Myanmar rural communities
    (Journal Article, 2022) Barbon, Wilson John; Myae, Chan; Vidallo, Rene R.; Thant, Phyu Sin; Zhang, Yuntian; Monville-Oro, Emilita; Gonsalves, Julian Francis
    Climate smart village approach is identified as an important strategy laid out in the Myanmar Climate Smart Agriculture Strategy (MCSAS, 2016) Four climate smart villages were established in 2017 to facilitate participatory action research to develop the CSV approach as well as to generate evidence of outcomes. The CSV approach is based on the principle of community-directed research process where community-members collaborate with an external researcher to investigate community challenges and their solutions. Like other countries in 2020, the height of the COVID-19 pandemic, Myanmar implemented wide-scale national and local restrictions on mobility that impacted trade and business resulting to an economic slowdown. Rural communities dominated by smallholder agriculture in Myanmar are not spared from the negative impacts of these restrictions. This paper seeks to assess the impacts of the COVID-19 pandemic to the 4 climate smart villages in Myanmar by analyzing household survey data (N = 527) collected in 2020 during the height of economic disruptions and comparing these data to the household survey conducted during the pre-pandemic period of 2018. Our analysis indicated that overall, the effect of the pandemic to agriculture production in 2020 production season in the 4 CSVs has been minimal as evidenced by the continued agriculture production at the same levels as the pre-pandemic conditions in 2018. The effects to household food security and diet diversity has been varied. Sakta village in Chin state in the highlands have demonstrated that diversified production systems enable them to achieve food security in the pandemic year of 2020.
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    Innovation systems and affordances in climate smart agriculture
    (Journal Article, 2021-10) Smith, Harriet E.; Sallu, Susannah M.; Whitfield, Stephen; Gaworek-Michalczenia, Martha F.; Recha, John W.M.; Sayula, George J.; Mziray, Sylvester
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    Assessment of agricultural emissions, climate change mitigation and adaptation practices in Ethiopia
    (Journal Article, 2022-04-21) Feliciano, Diana; Recha, John W.M.; Ambaw, Gebermedihin; MacSween, Kirsten; Solomon, Dawit; Wollenberg, Eva Karoline
    The agricultural sector is a major contributor to greenhouse gas emissions (GHG) in Ethiopia, as it is the basis of the economy and the primary source of employment. This study investigated the implementation of mitigation and adaptation practices in smallholder farms in Ethiopia, estimated GHG emissions associated with mitigation practices, and identified potential mitigation options and barriers and enabling factors for implementation. Twenty-five smallholder farmers were selected by a local development agency and interviewed in the field about their land use and land management practices and the Mitigation Options Tool (MOT) was used to estimate GHG emissions, to identify mitigation options and co-benefits, and as a platform for promoting learning and knowledge exchange across different types of stakeholders. All farmers interviewed in the field acknowledged changes in the climate, but only some were implementing adaptation practices to cope with such changes, namely, crop rotations, planting new crop types, and the early sowing of crops. Fewer mitigation practices were implemented, namely reduced tillage and application of manure in cereal crops and potatoes. These practices were mainly implemented because of their benefits for soil conservation (e.g. fertility, soil water holding capacity, yield stabilization, erosion avoidance) rather than for mitigation (carbon sequestration) purposes. Greenhouse gas emissions from the application of synthetic fertilizer to crops, and from livestock production varied widely across farmers depending on the amount of fertilizer applied and the number and type of livestock raised. Tenancy rights and extension services were identified as potential enablers of the adoption of climate change mitigation and adaptation practices by smallholder farmers in Ethiopia, and competing uses for straw was a potential barrier for the incorporation of residues in the soil. Barriers and enabling factors should be assessed thoroughly through further engagement with farmers as well as data on the amount of organic matter added to the soil, as these practices have co-benefits in terms of soil conservation, which are especially relevant for climate change adaptation in semi-dry climates. The MOT could be used in the future as a facilitator for knowledge exchange between researchers and practitioners in Ethiopia, and in other developing countries where data availability is low, to support the identification of effective climate change mitigation and adaptation actions.
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    Utility and Triggers in Uptake of Agricultural Weather and Climate Information Services in Senegal, West Africa
    (Journal Article, 2021-11-17) Ouédraogo, Issa; Diouf, Ndeye Seynabou; Gnalenba, Ablouka; Zougmoré, Robert B.; Whitbread, Anthony M.
    Weather and climate information services (WCIS) are gaining recognition among scientists and governments as an essential adaptation tool for agriculture, especially in the drylands of Africa. In Senegal, the widespread production and dissemination of WCIS was initiated in 2015 to cover the agricultural, pastoral and fishing sectors. This paper analyzes the types of decisions made by WCIS users, their preferences and level of satisfaction, and explores the triggers of agricultural WCIS adoption. We collected data during the onset and cessation of the rainy seasons to understand the utility and reliability of WCIS by farmers across all stages of the growing season. Data were analyzed using descriptive statistics. A binary logistic regression was tested to understand the socio-economic triggers in uptake of WCIS. Results showed that rainfall forecast is the most preferred WCIS (49% of the respondents) followed by extreme wind forecast. At the beginning of the rainy season, nearly 80% of the respondents have chosen the sowing date and about 60% have chosen crop varieties based on disseminated WCIS. In the middle of the growing season, about 70% of the respondents used WCIS to decide on fertilizer application dates. Results also showed that age and level of education, being trained on WCIS use, membership to farmers’ organizations, owning a radio have a significant effect on WCIS-based decision-making. These factors are essential for triggering the uptake of WCIS, and therefore are required to improve the implementation of existing weather climate services in Africa.
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    Optimizing breeding structures and related management in community-based goat breeding programs in the Borana pastoral system of Ethiopia
    (Journal Article, 2022-02) Getachew, Tesfaye; Rischkowsky, Barbara A.; Rekik, Mourad; Mueller, Joaquin; Tessema, Tamirat; Solomon, Dawit; Haile, Aynalem
    The study simulated different potential breeding programs to design the optimal breeding structure and operational management structure for Borana goat. It evaluated different scenarios using ZPLAN+ software to maximize the genetic gain, discounted profit and to determine the optimum size of the base population for a community-based breeding program (CBBP) nucleus. The study analyzed the different combinations of objective traits in the index, assessed the effect of changing the breeding buck to doe ratio, evaluated the impact of improved kid survival, and determined the optimum size of the base population for a CBBP. A two-tier breeding program based on 577 does in the CBBP and 1,006 does in the surrounding base flocks was assumed, where selected CBBP bucks were disseminated to the base populations. Combining the weight of kids at six months (SMWT) and the lactation milk yield of dams (LMY) in the selection index resulted in a genetic gain doe−1 generation−1 of 0.13 kg, 0.58 kg, 0.02 and 0.004 for SMWT, LMY, the number of kids that survived to market age (NKS) and the number of kids born (NKB), respectively. This also generated a total discounted profit of US$5.76 doe−1 over 10 year investment period. This result was 30 percent higher than when LMY was evaluated separately and 225.7 percent higher than when SMWT was evaluated separately. The addition of NKB and NKS traits in the selection index did not significantly change the genetic progress and the profit. However, further optimization of the combined SMWT and LMY by improving mating ratio only, and a combined improvement in mating ratio and kid survival rate resulted in a substantial increase in profit to US$11.13 doe−1 and US$15.58 doe−1, respectively over 10 year investment period. The maximum discounted profit was attained when the base population size was 3,579 breeding does. This resulted in accumulated total profit of US$14,776 over the 10 year investment period. A two-tier dispersed CBBP with a unit size of about 577 does in the nucleus and 3,579 does in the base is recommended. In Borana goat community-breeding program, breeding buck need to be selected using an index combining at least own live weight and dam milk yield performance. Essential requirements for ensuring the sustainability of such programs are also discussed in the paper.
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    Viewpoint: Aligning vision and reality in publicly funded agricultural research for development: A case study of CGIAR
    (Journal Article, 2022-02) Thornton, Philip K.; Dijkman, Jeroen; Herrero, Mario; Szilagyi, Lili; Cramer, Laura K.
    Global food systems are currently facing unprecedented challenges with respect to production and nutritional targets, inclusivity and environmental footprint. Several recent reports highlight the need for major, rapid reconfiguration of our food systems as a result. International publicly funded agricultural research for development will play an increasingly vital role in support of such goals as reducing poverty, improving food and nutrition security, and improving natural resources and ecosystem services. Here we take stock of the work over the last decade of CGIAR, one of the major players in the agricultural research for development arena, from the perspective of published, peer-reviewed science. We do this with respect to several elements of its vision as set out in 2011, elements that are shared by many other organisations that are also working towards achieving the Sustainable Development Goals. Overall, we found a strong association between number of CGIAR publications and countries with large numbers of rural poor and high child stunting prevalence. At the same time several countries were identified that are anomalous, being either relatively over- or under-represented in the peer-reviewed literature in relation to numbers of rural poor and stunting prevalence. On average, 30% of the calories consumed in national food baskets come from food sources that are not currently the commodity focus of CGIAR research, such as fruit and vegetables. We identify possible ways in which the alignment between the strategic objectives of an agricultural research for development organisation such as CGIAR and its publicly funded science outputs might be further strengthened, for maximum impact in the nine years that are left for the world to achieve the Sustainable Development Goals.
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    Skill Assessment of North American Multi-Models Ensemble (NMME) for June-September (JJAS) Seasonal Rainfall over Ethiopia
    (Journal Article, 2022) Teshome, Asaminew; Zhang, Jie; Ma, Qianrong; Zebiak, Stephen E.; Demissie, Teferi Dejene; Dinku, Tufa; Siebert, Asher; Seid, Jemal; Acharya, Nachiketa
    In recent years, there has been increasing demand for high-resolution seasonal climate forecasts at sufficient lead times to allow response planning from users in agriculture, hydrology, disaster risk management, and health, among others. This paper examines the forecasting skill of the North American Multi-model Ensemble (NMME) over Ethiopia during the June to September (JJAS) season. The NMME, one of the multi-model seasonal forecasting systems, regularly generates monthly seasonal rainfall forecasts over the globe with 0.5 - 11.5 months lead time. The skill and predictability of seasonal rainfall are assessed using 28 years of hindcast data from the NMME models. The forecast skill is quantified using canonical correlation analysis (CCA) and root mean square error. The results show that the NMME models capture the JJAS seasonal rainfall over central, northern, and northeastern parts of Ethiopia while exhibiting weak or limited skill across western and southwestern Ethiopia. The performance of each model in predicting the JJAS seasonal rainfall is variable, showing greater skill in predicting dry conditions. Overall, the performance of the multi-model ensemble was not consistently better than any single ensemble member. The correlation of observed and predicted seasonal rainfall for the better performing models—GFDL-CM2p5-FLOR-A06, CMC2-CanCM4, GFDL-CM2p5-FLOR-B01 and NASA-GMAO-062012—is 0.68, 0.58, 0.52, and 0.5, respectively. The COLA-RSMAS-CCSM4, CMC1- CanCM3 and NCEP-CFSv2 models exhibit less skill, with correlations less than 0.4. In general, the NMME offers promising skill to predict seasonal rainfall over Ethiopia during the June-September (JJAS) season, motivating further work to assess its performance at longer lead times.
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    Impact of Climate Change on the Hydrology of the Upper Awash River Basin, Ethiopia
    (Journal Article, 2021-12-23) Emiru, Nega C.; Recha, John W.M.; Thompson, Julian R.; Belay, Abrham; Aynekulu, Ermias; Manyevere, Alen; Demissie, Teferi Dejene; Osano, Philip M.; Hussein, Jabir; Molla, Mikias B.; Mengistu, Girma M.; Solomon, Dawit
    This study investigated the impacts of climate change on the hydrology of the Upper Awash Basin, Ethiopia. A soil and water assessment tool (SWAT) model was calibrated and validated against observed streamflow using SWAT CUP. The Mann–Kendall trend test (MK) was used to assess climate trends. Meteorological drought (SPEI) and hydrological drought (SDI) were also investigated. Based on the ensemble mean of five global climate models (GCMs), projected increases in mean annual maximum temperature over the period 2015–2100 (compared with a 1983–2014 baseline) range from 1.16 to 1.73 °C, while increases in minimum temperature range between 0.79 and 2.53 °C. Increases in mean annual precipitation range from 1.8% at Addis Ababa to 45.5% over the Hombole area. High streamflow (Q5) declines at all stations except Ginchi. Low flows (Q90) also decline with Q90 equaling 0 m3 s−1 (i.e., 100% reduction) at some gauging stations (Akaki and Hombole) for individual GCMs. The SPEI confirmed a significant drought trend in the past, while the frequency and severity of drought will increase in the future. The basin experienced conditions that varied from modest dry periods to a very severe hydrological drought between 1986 and 2005. The projected SDI ranges from modestly dry to modestly wet conditions. Climate change in the basin would enhance seasonal variations in hydrological conditions. Both precipitation and streamflow will decline in the wet seasons and increase in the dry seasons. These changes are likely to have an impact on agricultural activities and other human demands for water resources throughout the basin and will require the implementation of appropriate mitigation measures.
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    Co-production, uptake of weather and climate services, and welfare impacts on farmers in Senegal: A panel data approach
    (Journal Article, 2022-01) Chiputwa, Brian; Blundo-Canto, Genowefa; Steward, Peter R.; Andrieu, Nadine; Ndiaye, Ousmane
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    Gendered impacts of climate-smart agriculture on household food security and labor migration: insights from Bihar, India
    (Journal Article, 2022-01-12) Agarwal, Tripati; Goel, Prarthna A; Gartaula, Hom Nath; Rai, Munmun; Bijarniya, Deepak; Rahut, Dil B; Jat, Mangi L
    Increasing trends of climatic risk pose challenges to the food security and livelihoods of smallholders in vulnerable regions, where farmers often face loss of the entire crop, pushing farmers (mostly men) out of agriculture in destitution, creating a situation of agricultural making agriculture highly feminization and compelling male farmers to out-migrate. Climate-smart agricultural practices (CSAPs) are promoted to cope with climatic risks. This study aims to assess how knowledge related to CSAPs, male out-migration, education and income contribute to the determinants of male out-migration and CSAPs adoption and how they respond to household food security. Design/methodology/approach Sex-disaggregated primary data were collected from adopter and non-adopter farm families. STATA 13.1 was used to perform principle component analysis to construct knowledge, yield and income indices. Findings Yield and income index of adopters was higher for men than women. The probability of out-migration reduced by 21% with adoption of CSAPs. An increase in female literacy by 1 unit reduces log of odds to migrate by 0.37. With every unit increase in knowledge index, increase in log-odds of CSAPs adoption was 1.57. Male:female knowledge gap was less among adopters. Non-adopters tended to reduce food consumption when faced with climatic risks significantly, and the probability of migration increased by 50% with a one-unit fall in the nutrition level, thus compelling women to work more in agriculture. Gender-equitable enhancement of CSAP knowledge is, therefore, key to safeguarding sustainable farming systems and improving livelihoods. Social implications The enhancement of gender equitable knowledge on CSAPs is key to safeguard sustainable farming systems and improved livelihoods. Originality/value This study is based on the robust data sets of 100 each of male and female from 100 households (n = 200) using well-designed and validated survey instrument. From 10 randomly selected climate-smart villages in Samastipur and Vaishali districts of Bihar, India, together with focus group discussions, the primary data were collected by interviewing both men and women from the same household.
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    Effect of Climate-Smart Agriculture Practices on Climate Change Adaptation, Greenhouse Gas Mitigation and Economic Efficiency of Rice-Wheat System in India
    (Journal Article, 2021-12-14) Kakraliya, Suresh K; Jat, Hanuman S; Sapkota, Tek B; Singh, Ishwar; Kakraliya, Manish; Gora, Manoj K.; Sharma, Parbodh C; Jat, Mangi L
    Conventional rice–wheat (RW) rotation in the Indo-Gangetic Plains (IGP) of South Asia is tillage, water, energy, and capital intensive. Coupled with these, crop residue burning contributes significantly to greenhouse gas (GHG) emission and environmental pollution. So, to evaluate the GHG mitigation potential of various climate-smart agricultural practices (CSAPs), an on-farm research trial was conducted during 2014–2017 in Karnal, India. Six management scenarios (portfolios of practices), namely, Sc1—business as usual (BAU)/conventional tillage (CT) without residue, Sc2—CT with residue, Sc3—reduced tillage (RT) with residue + recommended dose of fertilizer (RDF), Sc4—RT/zero tillage (ZT) with residue + RDF, Sc5—ZT with residue + RDF + GreenSeeker + Tensiometer, and Sc6—Sc5 + nutrient-expert tool, were included. The global warming potential (GWP) of the RW system under CSAPs (Sc4, Sc5, and Sc6) and the improved BAU (Sc2 and Sc3) were 33–40% and 4–26% lower than BAU (7653 kg CO2 eq./ha/year), respectively. This reflects that CSAPs have the potential to mitigate GWP by ~387 metric tons (Mt) CO2 eq./year from the 13.5 Mha RW system of South Asia. Lower GWP under CSAPs resulted in 36–44% lower emission intensity (383 kg CO2 eq./Mg/year) compared to BAU (642 kg CO2 eq./Mg/year). Meanwhile, the N-factor productivity and eco-efficiency of the RW system under CSAPs were 32–57% and 70–105% higher than BAU, respectively, which reflects that CSAPs are more economically and environmentally sustainable than BAU. The wheat yield obtained under various CSAPs was 0.62 Mg/ha and 0.84 Mg/ha higher than BAU during normal and bad years (extreme weather events), respectively. Thus, it is evident that CSAPs can cope better with climatic extremes than BAU. Therefore, a portfolio of CSAPs should be promoted in RW belts for more adaptation and climate change mitigation.
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    A global assessment of policy tools to support climate adaptation
    (Journal Article, 2022-01-14) Ulibarri, Nicola; Ajibade, Idowu; Galappaththi, Eranga K; Joe, Elphin Tom; Lesnikowski, Alexandra; Mach, Katharine J.; Musah-Surugu, Justice Issah; Alverio, Gabriela Nagle; Segnon, Alcade C; Siders, A. R; Sotnik, Garry; Campbell, Donovan; Chalastani, Vasiliki I; Jagannathan, Kripa; Khavhagali, Vhalinavho; Reckien, Diana; Shang, Yuanyuan; Singh, Chandni; Zommers, Zinta; Global Adaptation Mapping Initiative Team
    Governments, businesses, and civil society organizations have diverse policy tools to incentivize adaptation. Policy tools can shape the type and extent of adaptation, and therefore, function either as barriers or enablers for reducing risk and vulnerability. Using data from a systematic review of academic literature on global adaptation responses to climate change (n = 1549 peer-reviewed articles), we categorize the types of policy tools used to shape climate adaptation. We apply qualitative and quantitative analyses to assess the contexts where particular tools are used, along with equity implications for groups targeted by the tools, and the tools’ relationships with transformational adaptation indicators such as the depth, scope, and speed of adaptation. We find diverse types of tools documented across sectors and geographic regions. We also identify a mismatch between the tools that consider equity and those that yield more transformational adaptations. Direct regulations, plans, and capacity building are associated with higher depth and scope of adaptation (thus transformational adaptation), while economic instruments, information provisioning, and networks are not; the latter tools, however, are more likely to target marginalized groups in their design and implementation. We identify multiple research gaps, including a need to assess instrument mixes rather than single tools and to assess adaptations that result from policy implementation.
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    Water budgeting in conservation agriculture-based sub-surface drip irrigation in tropical maize using HYDRUS-2D in South Asia
    (Journal Article, 2021-08-18) Patra, Kiranmoy; Parihar, Chiter Mal; Nayak, Harisankar; Rana, Biswajit; Singh, Vinod K; Jat, Shankar Lal; Panwar, Sanjeev; Prihar, Muli D; Singh, Love Kumar; Sidhu, Harminder S.; Gerard, Bruno G.; Jat, Mangi Lal
    In water scarce regions of South Asia, diversification of rice with maize is being advocated towards sustainability of cereal-based cropping systems. Adoption of innovative agronomic management practices, i.e., conservation agriculture (CA) and sub-surface drip irrigation (SSDI) are considered as key strategies for much needed interventions to address the challenges of water scarcity under projected climate change. Benefits from CA and SSDI concerning water economy are well-established, however, information about their complementarity and water budgeting in cereal-based systems are lacking. A field study was conducted with process-based model (HYDRUS-2D) to understand water transport, root water uptake and components of soil water balance in maize grown in rotation with wheat after five years of continuous adoption of conservation agriculture. In this study, altogether eight treatments comprising of 6 CA+ treatments (CA coupled with SSDI); permanent beds using sub-surface drip (PB-SSD) with (WR) and without (WOR) crop residue at different N rates, 0, 120 and 150 kg N ha−1 were compared with CA (PB using furrow irrigation-FI with crop residue-120 kg N ha−1) and conventional tillage practices (CT) (CT using FI without crop residue-120 kg N ha−1). Results showed that the model could simulate the daily changes in profile soil water content with reasonable accuracy in all the treatments. Simulated soil water balance indicated higher cumulative root water uptake (CRWU), lower cumulative evaporation (CE) and higher soil water retention in CA+ (PB-SSD+ crop residue at 150 and 120 kg N ha−1) than CA and CT plots. Hydrus-2D model efficiency > 0, RMSE between 0.009–0.026 and R2 value between 0.80–0.92 at P < 0.01 indicates that the model is performing efficiently. The mean evaporation from CA+ treatments was 10 and 36% less than CA and CT treatments, respectively. On average, CRWU under CA+ treatments were 14–48% higher than FI treatments. The mean cumulative deep drainage in CA+ plots was 80–100 mm less than CA and CT plots. In CA+ based plots significantly higher biomass production and radiation use efficiency were observed with reduced water use than CA and CT. Therefore, the study justifies the water-saving nature of CA+, while maintaining higher productivity and meeting the transpiration demand of crops and halting unnecessary evaporation and deep drainage losses.