61 to 70 of 91 Results
Jul 13, 2017 - CIAT - International Center for Tropical Agriculture Dataverse
Wilkus, Erin Lynn; Francesconi, Gian Nicola, 2017, "Enhancing the benefits of value chain development: Addressing gender disparities in Kenyan and Ugandan common bean value chains", https://doi.org/10.7910/DVN/W0KNMD, Harvard Dataverse, V1, UNF:6:NkDJZ/1Z0gk96Qx9jGGzfg== [fileUNF]
This study contributed to a better understanding of current gender disparities that can help to ensure future inclusive market development and associated benefits. The analysis is based on empirical evidence from female and male small and medium enterprise (SME) owners along the common bean value chain that served urban and peri-urban bean markets... |
Feb 19, 2017 - CIAT - International Center for Tropical Agriculture Dataverse
Winowiecki, Leigh; Mwongera, Caroline; Twyman, Jennifer; Shikuku, Kelvin Mashisia; Ampaire, Edidah; Mwungu, Chris M; Acosta, Mariola; Okolo, Wendy; Läderach, Peter, 2016, "Intra-household and farm production decision making survey in rural Tanzania and Uganda", https://doi.org/10.7910/DVN/0ZEXKC, Harvard Dataverse, V2, UNF:6:YRlqi1MnV5clKTLufeZxiA== [fileUNF]
This intra-household survey was conducted by CCAFS in Northern Uganda and Southern Tanzania in 2014 and 2015 respectively. The main aim of the project is to increase farm production and farming system resilience of small scale farmers in Uganda and Tanzania while mitigating climate change through wide-scale adoption of climate-smart agriculture (CS... |
Dec 31, 2016 - CIAT - International Center for Tropical Agriculture Dataverse
Baca, María; Läderach, Peter; Haggar, Jeremy; Schroth, Götz; Ovalle, Oriana, 2016, "An Integrated Framework for Assessing Vulnerability to Climate Change and Developing Adaptation Strategies for Coffee Growing Families in Mesoamerica", https://doi.org/10.7910/DVN/29418, Harvard Dataverse, V1, UNF:6:+SWiD/5XUtSO5ydtDkOeGA== [fileUNF]
Experts predict that the climate change will affect all natural and human systems. Historical climate records show changes in average and extreme temperatures, as well as an increase in annual climate variability; this changes can affect all continents of our planet in different ways and the high levels of poverty in some regions can worsen the imp... |
Dec 22, 2016 - CIAT - International Center for Tropical Agriculture Dataverse
Tibebe, Degefie; Tamene, Lulseged, 2016, "Biophysical and Socioeconomic Geodatabase for Land Productivity Dynamic Assessment in Ethiopia", https://doi.org/10.7910/DVN/VCQXYR, Harvard Dataverse, V1
The purpose of this work is to collect, organize and develop geodatabase of spatial and non spatial data which are relevant to monitor land degradation and assess the major drivers to land degradation in Ethiopia. Accordingly, important time series biophysical (climate, vegetation, hydrology, soil...etc) and socioeconomic data (human population/dem... |
García, María Alejandra; Twyman, Jennifer; Bermúdez, Hector Fabio, 2016, "Estudio cualitativo sobre roles de género en la producción de arroz en Ecuador", https://doi.org/10.7910/DVN/3KD5IL, Harvard Dataverse, V1, UNF:6:hmW7g5ZtCjuZ2iz+g+FsgA== [fileUNF]
El arroz es un cultivo importante para la economía y el consumo nacional de Ecuador. Usualmente, se considera que este cultivo es de actividades masculinas y que las mujeres no cumplen roles en su producción. Teniendo en cuenta la poca información sobre género y arroz en este país, se ejecutó un análisis cualitativo de carácter exploratorio con el... |
Dec 22, 2016 - CIAT - International Center for Tropical Agriculture Dataverse
García, María Alejandra; Katto, María Cristina; Chirinda, Ngonidzashe; LaHue, Gabriel; Twyman, Jennifer, 2016, "Socioeconomic survey with gender perspective for AWD in Colombia", https://doi.org/10.7910/DVN/OTL14B, Harvard Dataverse, V1
Alternate Wetting and Drying (AWD) is a water saving technique thus helping farmers adapt to less water availability, it reduces the methane gas emission in rice production, and it increases/maintains productivity levels. The International Center for Tropical Agriculture (CIAT) and partners, are doing several studies to evaluate the feasibility of... |
Eitzinger, Anton; Läderach, Peter; Rodriguez, Beatriz; Fisher, Myles; Beebe, Stephen; Sonder, Kai; Schmidt, Axel, 2016, "Replication Data for: Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model", https://doi.org/10.7910/DVN/HEQQIH, Harvard Dataverse, V1
Data were collected by a simulation model to estimate yield changes due to climate change in El Salvador, Guatemala, Honduras and Nicaragua. We analysed the simulated yield changes to spatially classify high-impact spots of climate change across the four countries. We identified hot spots, adaptation spots and pressure spots for drybeans production... |
Oct 22, 2016 - CIAT - International Center for Tropical Agriculture Dataverse
Sain, Gustavo; Loboguerrero, Ana María; Corner Dolloff, Caitlin; Lizarazo, Miguel; Nowak, Andreea; Martínez Barón, Deissy; Andrieu, Nadine, 2016, "Replication Data for: Costs and benefits of climate-smart agriculture: The case of the Dry Corridor in Guatemala", https://doi.org/10.7910/DVN/LF0VEZ, Harvard Dataverse, V1, UNF:6:Aj2/h/sKTC69vjHemqPRBg== [fileUNF]
Central American countries, particularly Guatemala, are experiencing extreme climate events which are disproportionately affecting agriculture and subsequently rural livelihoods. Governments are taking action to address climatic threats, but they need tools to assess the impact of policies and interventions aiming to decrease the impacts of climate... |
Jul 22, 2016 - CIAT - International Center for Tropical Agriculture Dataverse
Mwongera, Caroline; Shikuku, Kelvin Mashisia; Twyman, Jennifer; Läderach, Peter; Ampaire, Edidah; Van Asten, Piet; Twomlowd, Steve; Winowiecki, Leigh, 2016, "Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies", https://doi.org/10.7910/DVN/HCFDU8, Harvard Dataverse, V2, UNF:6:jZOAo2/XRDd7jArpYw4goA== [fileUNF]
Approaches that aim to identify and prioritize locally appropriate climate smart agriculture (CSA) technologies will need to address the context-specific multi-dimensional complexity in agricultural systems. The climate smart agriculture rapid appraisal (CSA-RA) is a mixed method approach that draws on participatory bottom-up, qualitative, and quan... |
Apr 28, 2016 - CIAT - International Center for Tropical Agriculture Dataverse
Barona, Elizabeth; Guevara, Edward Darío; Hyman, Glenn, 2016, "Replication Data for: Priority regions for research on dryland cereals and legumes.", https://doi.org/10.7910/DVN/EDMXSK, Harvard Dataverse, V4, UNF:6:loJm7wy0VRiSBz6QuGnfbA== [fileUNF]
This data set characterizes dryland systems and cereal and legume crops (Hyman et al., 2016). The data is a subset of a larger data set that characterizes the farming systems of John Dixon’s global farming systems framework and map (Dixon et al., 2001; Barona and Hyman, 2016). The data subset focuses on the following crops: chickpea, common bean, c... |
