Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies
Approaches that aim to identify and prioritize locally appropriate climate smart agriculture (CSA) technologies will need to address the context-specific multi-dimensional complexity in agricultural systems. The climate smart agriculture rapid appraisal (CSA-RA) is a mixed method approach that draws...
| Main Authors: | , , , , , , , |
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| Format: | Conjunto de datos |
| Language: | Inglés |
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2016
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| Online Access: | https://hdl.handle.net/10568/76693 |
| _version_ | 1855533468972220416 |
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| author | Mwongera, Caroline Shikuku, Kelvin Mashisia Twyman, Jennifer Läderach, Peter R.D. Ampaire, Edidah L. Asten, Piet J.A. van Twomlow, Stephen Winowiecki, Leigh Ann |
| author_browse | Ampaire, Edidah L. Asten, Piet J.A. van Läderach, Peter R.D. Mwongera, Caroline Shikuku, Kelvin Mashisia Twomlow, Stephen Twyman, Jennifer Winowiecki, Leigh Ann |
| author_facet | Mwongera, Caroline Shikuku, Kelvin Mashisia Twyman, Jennifer Läderach, Peter R.D. Ampaire, Edidah L. Asten, Piet J.A. van Twomlow, Stephen Winowiecki, Leigh Ann |
| author_sort | Mwongera, Caroline |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Approaches that aim to identify and prioritize locally appropriate climate smart agriculture (CSA) technologies will need to address the context-specific multi-dimensional complexity in agricultural systems. The climate smart agriculture rapid appraisal (CSA-RA) is a mixed method approach that draws on participatory bottom-up, qualitative, and quantitative tools to assess the heterogeneity of local contexts, and prioritize context-specific CSA options. This is an imperative if countries are to respond to the COP21 agreement and meet their intended nationally determined contributions (INDCs). The CSA-RA is designed to assess biophysical including climatic, socio-cultural, economic and technological characteristics at the household, farm and community/regional level. The CSA-RA employs gender-disaggregated methods, including gender differences in perceptions of climate change and its impacts. The CSA-RA combines common participatory rural appraisal (PRA) and rapid rural appraisal (RRA) tools into one methodology, that disaggregates the gender dimension, and includes resource mapping; climate calendars; historical calendars; cropping calendars; organization mapping; transect walks; key informant interviews; farmer interviews; and pairwise ranking matrix. The tool collects qualitative and quantitative data from various stakeholders (farmers, local leaders, researchers, local-level agricultural experts, private sector actors, donor organizations, and policy implementers), allowing expansive analysis, triangulation and validation. Application of the CSA-RA in Tanzania and Uganda reveals heterogeneity across the sites in terms of vulnerability, constraints and CSA priorities among different social groups (gender) and agro-ecological zones. Thus, the CSA-RA allows stakeholders to simultaneously take into account biophysical and socio-economic aspects to target and implement CSA. |
| format | Conjunto de datos |
| id | CGSpace76693 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| record_format | dspace |
| spelling | CGSpace766932025-03-13T09:44:49Z Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies Mwongera, Caroline Shikuku, Kelvin Mashisia Twyman, Jennifer Läderach, Peter R.D. Ampaire, Edidah L. Asten, Piet J.A. van Twomlow, Stephen Winowiecki, Leigh Ann climate-smart agriculture agriculture participatory approaches Approaches that aim to identify and prioritize locally appropriate climate smart agriculture (CSA) technologies will need to address the context-specific multi-dimensional complexity in agricultural systems. The climate smart agriculture rapid appraisal (CSA-RA) is a mixed method approach that draws on participatory bottom-up, qualitative, and quantitative tools to assess the heterogeneity of local contexts, and prioritize context-specific CSA options. This is an imperative if countries are to respond to the COP21 agreement and meet their intended nationally determined contributions (INDCs). The CSA-RA is designed to assess biophysical including climatic, socio-cultural, economic and technological characteristics at the household, farm and community/regional level. The CSA-RA employs gender-disaggregated methods, including gender differences in perceptions of climate change and its impacts. The CSA-RA combines common participatory rural appraisal (PRA) and rapid rural appraisal (RRA) tools into one methodology, that disaggregates the gender dimension, and includes resource mapping; climate calendars; historical calendars; cropping calendars; organization mapping; transect walks; key informant interviews; farmer interviews; and pairwise ranking matrix. The tool collects qualitative and quantitative data from various stakeholders (farmers, local leaders, researchers, local-level agricultural experts, private sector actors, donor organizations, and policy implementers), allowing expansive analysis, triangulation and validation. Application of the CSA-RA in Tanzania and Uganda reveals heterogeneity across the sites in terms of vulnerability, constraints and CSA priorities among different social groups (gender) and agro-ecological zones. Thus, the CSA-RA allows stakeholders to simultaneously take into account biophysical and socio-economic aspects to target and implement CSA. 2016 2016-08-31T20:14:20Z 2016-08-31T20:14:20Z Dataset https://hdl.handle.net/10568/76693 en Open Access Mwongera, Caroline; Shikuku, Kelvin; Twyman, Jennifer; Läderach, Peter; Ampaire, Edidah; Van Asten, Piet; Twomlowd, Steve; Winowiecki, Leigh, 2016, "Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies", doi:10.7910/DVN/HCFDU8, Harvard Dataverse, V2 [UNF:6:jZOAo2/XRDd7jArpYw4goA==] |
| spellingShingle | climate-smart agriculture agriculture participatory approaches Mwongera, Caroline Shikuku, Kelvin Mashisia Twyman, Jennifer Läderach, Peter R.D. Ampaire, Edidah L. Asten, Piet J.A. van Twomlow, Stephen Winowiecki, Leigh Ann Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies |
| title | Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies |
| title_full | Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies |
| title_fullStr | Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies |
| title_full_unstemmed | Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies |
| title_short | Replication Data for: Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies |
| title_sort | replication data for climate smart agriculture rapid appraisal csa ra a tool for prioritizing context specific climate smart agriculture technologies |
| topic | climate-smart agriculture agriculture participatory approaches |
| url | https://hdl.handle.net/10568/76693 |
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