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The Agro-Chain Greenhouse Gas Emissions (ACGE) calculator is a tool for estimating total greenhouse gas emissions associated to a food product. It addresses the most common stages of ‘linear’ agro-food chains (chains for fresh and simple processed products: canned, frozen, packaged and other mini...

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...

Cacao suitability data for Ghana, baseline (1950 - 2000) and future (2040 - 2069) trajectories. The future trajectory was modeled under an RCP 6.0 climate scenario. (2019-12-17)

The survey data on costs-benefit analysis of livestock management practices in the lowlands of Ethiopia is systematically organized in Microsoft Excel tables. Each of the three land management practices, that is, rangeland improved, restoration of degraded land, and fodder cropping and poultry ex...

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...

Assess and measure the food system sustainability worldwide in a robust and consistent manner (2019-02-21)

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...

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...

The survey data on soil carbon enhancing practices in western Kenya is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, practices implemented, yield, inputs, livestock ownership, social capital, access to credit, access ...

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...