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his dataset contains the files produced in the pilot implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Lawra-Jirapa Climate Smart Village (Uganda) in October 2017. This dataset contains the files produced in the implementation of the “Integrated Monitori...

Adoption of CSA practices and technologies, as well as access to climate information services and Their related impacts at household level and farm leve

his framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4 ...

The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services, CSA practices, Financial Services) connected to standard CSA metrics and the specific indicators.

The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...


Bonilla Findji, OsanaEitzinger, AntonAndrieu, NadineJarvis, AndrewOuédraogo, MathieuZougmoré, Robert B.Nyuor, Anslem BSaaka Buah, Samuel[2017- CSA Monitoring: Lawra-Jirapa Climate-Smart Village (Ghana)]2017- CSA Monitoring: Lawra-Jirapa Climate-Smart Village (Ghana)

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Tuma-La-Dalia Climate Smart Village (Nicaragua) in April 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the glob...

Adoption of CSA practices and technologies, as well as access to climate information services and Their related impacts at household level (and farm level, in selected sites).

This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, A set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4...

This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real-time. The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services...

The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...


Bonilla Findji, OsanaEitzinger, AntonAndrieu, NadineJarvis, AndrewMartinez- Baron, DeissyAguilar, Amílcar[2018 - CSA Monitoring: Tuma La Dalia Climate-Smart Village (Nicaragua)]2018 - CSA Monitoring: Tuma La Dalia Climate-Smart Village (Nicaragua)

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Santa Rita Climate Smart Village (Honduras) in April 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the global n...

Adoption of CSA practices and technologies, as well as access to climate information services and Their related impacts at household level (and farm level, in selected sites)

This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, A set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4...

This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real-time. The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services...

The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...


Bonilla Findji, OsanaEitzinger, AntonAndrieu, NadineJarvis, AndrewMartinez- Baron, DeissySuchini, José Gabriel[2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)]2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)
Lopez-Ridaura, S.Barba-Escoto, L.Reyna, C.Hellin, J.Gerard, G.Wijk, Mark T. van[Food security and agriculture in the Western Highlands of Guatemala]Food security and agriculture in the Western Highlands of Guatemala

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Cauca Climate Smart Village (Colombia) in February 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the global net...

adoption of CSA practices and technologies, as well as access to climate information services and their related impacts at household level (and farm level, in selected sites).

This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4...

The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...


Bonilla Findji, OsanaEitzinger, AntonAndrieu, NadineJarvis, AndrewMartinez- Baron, DeissyOrtega, Luis AlfonsoMañunga, Jimmy[2018- CSA Monitoring – Cauca Climate Smart-Village (Colombia)]2018- CSA Monitoring – Cauca Climate Smart-Village (Colombia)

Smallholder potato yields in Uganda are low (<4.7 tha-1) compared to 25 tha-1 attainable on-station yields, attributed to: poor quality seed, low soil fertility, pests and diseases, limited knowledge and weak policy environment. Potatoes however represent about half of the total monetary value of...


Walukano, W.Pali, Pamela N.Wairegi, L.W.I.Nanfumba, D.Arinaitwe, A.Basalirwa, D.Asiimwe, R.Asten, Piet J.A. van[Yield gap analyses to inform policy on sustainable crop intensification pathways in Uganda]Yield gap analyses to inform policy on sustainable crop intensification pathways in Uganda

Wellbrock, WiebkeBurkart, StefanKnierim, Andrea[Bio-economy trends in Colombia and Germany: A curse or blessing for dairy farmers?]Bio-economy trends in Colombia and Germany: A curse or blessing for dairy farmers?

Pan-Africa Bean Research Alliance[Narrative Report: Tapping resilience for a stronger future 2015-2018.]Narrative Report: Tapping resilience for a stronger future 2015-2018.

Context: Fairtrade (FT) is one of the most well-known Alternative Trade Organizations (ATOs). The FT movement intends to develop mutually beneficial partnerships, support organizational capacity building, guarantee prices higher than market prices, and provide a social premium to finance communi...


Río Duque, Martha Lilia delGonzález, CarolinaCórdoba, Diana M.Howland, Fanny CecileGutiérrez, NataliaLundy, Mark[Impacts of Fair Trade-Certified Coffee in Nicaragua,Brazil, Honduras, and Peru: Implications for livelihoods and empowerment of farm workers and independent smallholder producers.]Impacts of Fair Trade-Certified Coffee in Nicaragua,Brazil, Honduras, and Peru: Implications for livelihoods and empowerment of farm workers and independent smallholder producers.

Wijk, Mark T. vanÁlvarez, CristinaAnupama, GuvvalaArnaud, ElizabethAzzarri, CarloBurra, Dharani DharCaracciolo, FrancescoCoomes, DavidGarbero, AlessandraGotor, ElisabettaHeckert, JessicaJohnson, Nancy L.Kim, SoonhoMiro, BertaMuliro, JacquelineShikuku, Kelvin MashisiaTyszler, MarceloValdivia, RobertoViviani, SaraVrolijk, HansKruseman, Gideon K.[Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators]Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators

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