| dc.contributor.author | Mwongera, Caroline |
| dc.contributor.author | Shikuku, K.M. |
| dc.contributor.author | Twyman, Jennifer |
| dc.contributor.author | Läderach, Peter |
| dc.contributor.author | Ampaire, Edidah L. |
| dc.contributor.author | Asten, Piet J.A. van |
| dc.contributor.author | Twomlow, Stephen |
| dc.contributor.author | Winowiecki, Leigh A. |
| dc.date.accessioned | 2019-12-04T10:58:18Z |
| dc.date.available | 2019-12-04T10:58:18Z |
| dc.date.issued | 2016-05 |
| dc.identifier.citation | Mwongera, Caroline; Shikuku, Kelvin M.; Twyman, Jennifer; Läderach, Peter; Ampaire, Edidah; Van Asten, Piet; Twomlowd, Steve; Winowiecki, Leigh A.. 2016. Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies. Agricultural Systems . 151: 192-203. |
| dc.identifier.issn | 0308-521X |
| dc.identifier.uri | https://hdl.handle.net/20.500.12478/962 |
| dc.description.abstract | 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 bottomup, 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. |
| dc.format.extent | 151: 192-203 |
| dc.language.iso | en |
| dc.publisher | Elsevier B.V |
| dc.subject | Climate-Smart Agriculture |
| dc.subject | Agriculture |
| dc.subject | Data Analysis |
| dc.subject | Agricultura Climáticamente Inteligente |
| dc.subject | Agricultura |
| dc.subject | Análisis De Datos |
| dc.title | Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies |
| dc.type | Journal Article |
| dc.description.version | Peer Review |
| cg.contributor.crp | Climate Change, Agriculture and Food Security |
| cg.creator.identifier | Kelvin Shikuku: 0000-0003-2290-074X |
| cg.creator.identifier | Jennifer Twyman: 0000-0002-8581-5668 |
| cg.creator.identifier | Leigh Winowiecki: 0000-0001-5572-1284 |
| cg.creator.identifier | Peter Läderach: 0000-0001-8708-6318 |
| cg.identifier.dataurl | http://dx.doi.org/10.7910/DVN/HCFDU8 |
| cg.isijournal | ISI Journal |
| cg.journal | Agricultural Systems |
| cg.howpublished | Formally Published |
| cg.accessibilitystatus | Open Access |
| local.dspaceid | 77667 |
| cg.identifier.doi | https://dx.doi.org/10.1016/j.agsy.2016.05.009 |
