Data were collected during interviews with experts and farmers in Cauca between July and October 2014. After finishing both interview series, we analyzed the differences in perception between experts and farmers. To aggregate the individual rankings, we calculated a weighted average based on the ...
Eitzinger, Anton
,
Binder, Claudia R.
,
Meyer, Markus A.
,
[Replication Data for: Risk perception and decision-making: do farmers consider risks from climate change?]
,
Replication Data for: Risk perception and decision-making: do farmers consider risks from climate change?
This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Hoima Climate Smart Village (Uganda) in October 2018.
This monitoring framework developed by CCAFS is meant to be deployed annually across the global networ...
Adoption of CSA practices and technologies, as well as access to climate information services and
their related impacts at household level and farm level
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, 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...
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...
Small-scale farmers are highly threatened by climate change. Experts often base their interventions to support farmers to adapt to climate change on their own perception of farmers’ livelihood risks. However, if differences in risk perception between farmers and experts exist, these interventions...
Eitzinger, Anton
,
Binder, Claudia R.
,
Meyer, Markus A.
,
[Risk perception and decision-making: do farmers consider risks from climate change?]
,
Risk perception and decision-making: do farmers consider risks from climate change?