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, Osana
,
Eitzinger, Anton
,
Andrieu, Nadine
,
Jarvis, Andrew
,
Ouédraogo, Mathieu
,
Zougmoré, Robert B.
,
Nyuor, Anslem B
,
Saaka 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, Osana
,
Eitzinger, Anton
,
Andrieu, Nadine
,
Jarvis, Andrew
,
Martinez- Baron, Deissy
,
Aguilar, 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...
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...
Monitoring and Learning (M&L) systems are increasingly being requested to measure gender indicators in the context of agricultural interventions. This study reflects on the feasibility of using cellphones to collect data for monitoring gender indicators related to the adoption of climate-smart ag...
García, María Alejandra
,
Orentlicher, Natalie
,
Twyman, Jennifer
,
Eitzinger, Anton
,
Bonilla, Osana
,
[Reflection on the use of mobile phones for monitoring gender indicators related to climate-smart agriculture practices]
,
Reflection on the use of mobile phones for monitoring gender indicators related to climate-smart agriculture practices
Climate-smart agricultural (CSA) interventions often require “fine-tuning” i.e. feedback from multiple stakeholders e.g. farmers, extension agents, NGO workers, and policy implementers on their relevance in a given context.
Getting essential feedback to ensure projects are on track in a timely w...
Research suggests that gender equity is a critical factor in the adoption of climate-smart agricultural (CSA) practices.
If gender is not explicitly considered in climate-related interventions, the adoption of climate-resilient practices is unlikely to reach scale.
Climate-resilient interventio...
Twyman, Jennifer
,
Mwongera, Caroline
,
Läderach, Peter
,
Acosta, Mariola
,
Ampaire, Edidah L.
,
Eitzinger, Anton
,
Lamanna, Christine
,
Mwungu, Chris Miyinzi
,
Shikuku, K.M.
,
Winowiecki, Leigh A.
,
[Design climate-smart agricultural interventions to be gender inclusive]
,
Design climate-smart agricultural interventions to be gender inclusive
Farmers can manage their crops and farms better if they can communicate their experiences, both positive and negative, with each other and with experts. Digital agriculture using internet communication technology (ICT) may facilitate the sharing of experiences between farmers themselves and with ...
Eitzinger, Anton
,
Cock, James H.
,
Atzmanstorfer, Karl
,
Binder, Claudia R.
,
Läderach, Peter
,
Bonilla Findji, Osana
,
Bartling, Mona
,
Mwongera, Caroline
,
Zurita, Leo
,
Jarvis, Andy
,
[GeoFarmer: A monitoring and feedback system for agricultural development projects]
,
GeoFarmer: A monitoring and feedback system for agricultural development projects
