Descubre y comparte nuestro conocimiento público

Se han encontrado 55 recursos

Resultados de búsqueda

Dataset 2016-05-02

Autor: Richards, Meryl Bruun, T.B. Campbell, Bruce M. Gregersen LE Huyer, Sophia Kuntze, V. Madsen STN Oldvig MB Vasileiou, Ioannis

Data presented here are the result of an analysis of the adaptation and mitigation contributions of the 162 INDCs (representing 189 Parties) submitted to the UNFCCC as of 28 April 2016, and then revised using information submitted through 31October 2016. Related Info Notes were written using the ...

Enlace original: https://cgspace.cgiar.org/handle/10568/73255

Investigación en Agricultura
Enlace permanente

Ver más
Richards, Meryl ,  Bruun, T.B. ,  Campbell, Bruce M. ,  Gregersen LE ,  Huyer, Sophia ,  Kuntze, V. ,  Madsen STN ,  Oldvig MB ,  Vasileiou, Ioannis ,  [How countries plan to address agricultural adaptation and mitigation: An analysis of Intended Nationally Determined Contributions. CCAFS dataset] ,  How countries plan to address agricultural adaptation and mitigation: An analysis of Intended Nationally Determined Contributions. CCAFS dataset
Dataset 2019-06-20

Autor: Quintero, Marcela Vanegas, Martha Perez, Lisset Camilo, Karen Cruz García, Gisella S. Sachet, Erwan Sosa, Chrystian Castañeda Álvarez, Nora P Suarez Salazar, Juan C. Angel, Katherine Rico, Adrian Solarte, Antonio Zapata, Catalina Barrera, Jaime Hermida, Marfi

The household survey was done in the four municipalities that are part of two landscape units from 30 March 2016 to 3 October 2016. A total of 341 households were surveyed, of which 176 (51, 6%) were from UP4 (hill) and 165 (48, 4%) from UP6 (mountainous). All the households that participated in ...

Enlace original: https://cgspace.cgiar.org/handle/10568/101898

Investigación en Agricultura
Enlace permanente
Quintero, Marcela ,  Vanegas, Martha ,  Perez, Lisset ,  Camilo, Karen ,  Cruz García, Gisella S. ,  Sachet, Erwan ,  Sosa, Chrystian ,  Castañeda Álvarez, Nora P ,  Suarez Salazar, Juan C. ,  Angel, Katherine ,  Rico, Adrian ,  Solarte, Antonio ,  Zapata, Catalina ,  Barrera, Jaime ,  Hermida, Marfi ,  [Sustainable Amazonian Landcapes, Colombia socioeconomic survey] ,  Sustainable Amazonian Landcapes, Colombia socioeconomic survey
Dataset 2019-05-20

Autor: Bunn, Christian Lundy, Mark Castro-Llanos, Fabio

These data correspond to the results of the agroclimatic zones of cocoa for the Central America and the Caribbean regions and per country. The data make reference to the ideal zones for cocoa production in three different periods of time (baseline 1970-2000, 2020 - 2049, 2040 - 2069), which allow...

Enlace original: https://cgspace.cgiar.org/handle/10568/101363

Investigación en Agricultura
Enlace permanente
Bunn, Christian ,  Lundy, Mark ,  Castro-Llanos, Fabio ,  [Replication Data for: The impact of climate change on cacao production in Central America and the Caribbean] ,  Replication Data for: The impact of climate change on cacao production in Central America and the Caribbean
Dataset 2016-06-08

Autor: Quinney, Marie Bonilla Findji, Osana Jarvis, Andy

In the context of a collaboration with USAID Feed the Future, the CSA programming and indicator Tool has been designed to contribute to address both, the need of good instruments for programming and better metrics for tracking outcomes and impact and to allow multiple development agencies and agr...

Enlace original: https://cgspace.cgiar.org/handle/10568/75646

Investigación en Agricultura
Enlace permanente

Quinney, Marie ,  Bonilla Findji, Osana ,  Jarvis, Andy ,  [CSA Programming and Indicator Tool: 3 Steps for increasing programming effectiveness and outcome tracking of CSA interventions] ,  CSA Programming and Indicator Tool: 3 Steps for increasing programming effectiveness and outcome tracking of CSA interventions
Dataset 2018-02-23

Autor: Parker, Louis Bourgoin, Clément Martínez Valle, Armando Isaac Läderach, Peter

This project was undertaken to develop and implement a pan tropical Climate Risk Vulnerability Assessment (CRVA) that can identify through an agricultural lens and at a fine resolution which parts of the country are most vulnerable to climate change. The CRVA is adaptable to the specific national...

Enlace original: https://cgspace.cgiar.org/handle/10568/91206

Investigación en Agricultura
Enlace permanente
Parker, Louis ,  Bourgoin, Clément ,  Martínez Valle, Armando Isaac ,  Läderach, Peter ,  [Climate Risk Vulnerability Assessment to inform sub-national decision making in Vietnam] ,  Climate Risk Vulnerability Assessment to inform sub-national decision making in Vietnam
Dataset 2013

Autor: Kleinwechter, U. Suarez V

This archive contains code and data for a social network analysis of international potato trade that was published at https://perspectivesandforesight.wordpress.com/2012/11/08/really-a-nontraded-commodity-a-look-at-the-international-potato-trade-network/ on 08 November, 2012. It can serve as a r...

Enlace original: https://cgspace.cgiar.org/handle/10568/52061

Investigación en Agricultura
Enlace permanente
Kleinwechter, U. ,  Suarez V ,  [Really a nontraded commodity? A look at the international potato trade network (dataset and R code)] ,  Really a nontraded commodity? A look at the international potato trade network (dataset and R code)
Dataset 2019-12-16

Autor: Broeze, Jan

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...

Enlace original: https://cgspace.cgiar.org/handle/10568/106161

Investigación en Agricultura
Enlace permanente

Broeze, Jan ,  [Agro-Chain Greenhouse Gas Emissions (ACGE) calculator] ,  Agro-Chain Greenhouse Gas Emissions (ACGE) calculator
Dataset 2019-12-20

Autor: Bonilla Findji, Osana Eitzinger, Anton Andrieu, Nadine Jarvis, Andrew Recha, John W.M. Ambaw, Gebermedihin Kakeeto, Ronald

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...

Enlace original: https://cgspace.cgiar.org/handle/10568/106309

Investigación en Agricultura
Enlace permanente
Bonilla Findji, Osana ,  Eitzinger, Anton ,  Andrieu, Nadine ,  Jarvis, Andrew ,  Recha, John W.M. ,  Ambaw, Gebermedihin ,  Kakeeto, Ronald ,  [2018- CSA Monitoring: Hoima Climate-Smart Village (Uganda)] ,  2018- CSA Monitoring: Hoima Climate-Smart Village (Uganda)
Dataset 2019-12-20

Autor: Bonilla Findji, Osana Eitzinger, Anton Andrieu, Nadine Jarvis, Andrew Ouédraogo, Mathieu Zougmoré, Robert B. Nyuor, Anslem B Saaka Buah, Samuel

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...

Enlace original: https://cgspace.cgiar.org/handle/10568/106311

Investigación en Agricultura
Enlace permanente
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)
Dataset 2019-12-18

Autor: Bonilla Findji, Osana Eitzinger, Anton Andrieu, Nadine Jarvis, Andrew Martinez- Baron, Deissy Aguilar, Amílcar

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...

Enlace original: https://cgspace.cgiar.org/handle/10568/106236

Investigación en Agricultura
Enlace permanente
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)

Selecciona los documentos para visualizarlos

Nombre del archivo Ver recurso
Marcar todos
Limpiar todo