2021 - IFAD-EU/CCAFS CSA Monitoring: Basona Werana Climate-Smart Village (Ethiopia)

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Bonilla-Findji, Osana; Eitzinger, Anton; Abera, Wuletawu; Desta, Lulseged; Recha, John; Ambaw, Gebermedihin (ILRI/CCAFS),; Nigussie, Abebe; Tesfaye, Abonesh, 2021, "2021 - IFAD-EU/CCAFS CSA Monitoring: Basona Werana Climate-Smart Village (Ethiopia)", https://doi.org/10.7910/DVN/B4TX9L, Harvard Dataverse, V2, UNF:6:+de0ALftpam0SfTodnlvQw== [fileUNF]

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Description	This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Basona Werana Climate Smart Village (Ethiopia) in February 2021. This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based evidence by tracking the progress on: adoption of CSA practices and technologies, as well as access to climate information services and their related impacts at household level and farm level The CSA framework allows to address three key research questions: Who within each CSV community adopts which CSA technologies and practices and which are their motivations, enabling factors? To which extent farmers access and use climate information services? Which are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood, agricultural, food security and adaptive capacity, and on key gender dimensions (participation in decision making, participation in CSA implementation and dis-adoption, control and access over resources and labour). Which are the CSA performance, synergies and trade-offs found at farm level? (Note that this 3d. question was not addressed in this specific Basona Werana 2021 monitoring, as farm level data were not collected) The CSA framework proposes a small set of standard Core Indicators linked to the research questions, and Extended indicators covering aspects related to the enabling environment. At household level (17 Core indicators): 7 Core Uptake indicators (they track CSA Implementation and adoption drivers; CSA dis-adoption and drivers; Access to climate information services and agro-advisories, Capacity to use them and constraining factors). 10 Core Outcome indicators (they track farmers perceptions on the effects of CSA practices on their Livelihoods, Food Security and Adaptive Capacity and on Gender dimensions. Those include namely: CSA effect on yield/production, on Income, on Improved Food Access and Food Diversity, on Vulnerability to weather related shocks and on Changes in agricultural activities induced by access to climate information. Four are Gender related Outcome indicators (Decision-making on CSA implementation or dis-adoption, Participation in CSA implementation, CSA effect on labor, Decision making and control on CSA generated income). An additional set of complementary Extended indicators allows to determine and track changes in enabling conditions and farmers characteristics such as: Livelihood security, Financial enablers, Food security, Frecuency of climate events, Coping strategies, Risk Mitigation Actions, Access to financial services and Training, CSA Knowledge and Learning. At farm level, 7 CORE indicators 7 Core indicators are used to determine the CSA performance of the farms as well as synergies and trade-offs among the three pillars (productivity, adaptation and mitigation, via farm model analysis). 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. For the implementation in the context of the EU-IFAD/CCAFS project, some slight changes were made to the questionnaire in order to focus the data collection on tackling: The impacts of Climate events Farmers’ access and use of CIS Farmer’s implementation of CSA practices, and the perceived household level outcomes related to the implementation of CSA practices in the two targetted Ethiopian CSVs. The adjusted survey questionnaire includes the following thematic modules: -M1A Demographic (few additional questions not included in the “MASTER” CSA monitoring questionnaire were added coming from Rhomis) -M1D Financial services (reduced set of original questions from the Financial Master) -M2, Climate events (no changes made) -M3, Climate Information Services -M5, CSA practices (no changes made) ** The Module Food Security from the Master questionnaire of the CSA framework was not included. Information on Food security captured using RhOMIS. (2021-02-28)
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	Monitoring, Climate Smart Agriculture, Households, Livelihoods, Farmers, Adaptation, Food Security, Climate Shocks
Related Publication	Terefe, H., Argaw, M., Tamene, L. et al. Effects of sustainable land management interventions on selected soil properties in Geda watershed, central highlands of Ethiopia. Ecol Process 9, 14 (2020).doi: s13717-020-0216-2
Notes	At the time of data collection, all survey participants resided within 25 communities in Basona Werana Climate Smart Village, (Ethiopia): (01) Gina Beret, (02) Gudoberet Ketema, (03) Mewkeria Ager, (04) Misage, (05) Mush, (06) Selafa, (07) Tosign Amba, (08) Worage, (09) Woregne, (10) Kese Amba, (11) Kolo Amba, (12) Koshim, (13) Nefage, (14) Dube Hager, (15) Aregaye Belge, (16) Enate Hode, (17) Dube Hager Tach Amba, (18) Woldab Hager, (19) Debe Ager Lay Amba, (20) Tach Mush, (21) Tef Amba, (22) Gedeba, (23) Amba Mado, (24) Woldabager, (25) Tach Mush Lay Amba The households in villages 01-12, and some households in 18 and 20 were direct beneficiaries of the CIAT/CCAFS project whereas the ones visited in villages 13-25 and some households in 09, 11 and 12 were non-beneficiaries or “additional” (potentially non–adopters). The adapted CSA monitoring survey targeted two adults individuals from 396 households actively involved in agricultural activities of the farm. One was the main person involved in deciding and implementing on-farm activities (MAIN AG) how might or not be the official Head of the household. This person had to respond to modules M1A Demographic, M1D Financial services, M2 Climate events, M3, Climate Information Services and M5 CSA practices. The second person of opposite sex also and involved in on-farm activities, responded to Modules M1A Demographic, M1D Financial services, M3, Climate Information Services and M5 CSA practices. Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection. The selection of the enumerators was done by the Alliance Bioversity-CIAT, CCAFS and Africa RISING.
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	0. 2021_EU-IFAD-ETH-BW_Dataverse Template.pdf 2021_EU-IFAD_ETH-BW_Additional_Information/Adobe PDF - 448.7 KB Published Mar 26, 2021 0 Downloads MD5: e1b0255ed380154c4be6ee4a6ae8f121	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
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	3. 2021_EU-IFAD-ETH-BW_Glossary_CSA_practices.pdf 2021_EU-IFAD_ETH-BW_Additional_Information/Adobe PDF - 1.1 MB Published Mar 26, 2021 0 Downloads MD5: fb79f16790d573063b7441e3bc78e9c5	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
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	7. 2021_EU-IFAD-ETH-BW_CIAT Minimum Risk Review Application.pdf 2021_EU-IFAD_ETH-BW_Additional_Information/Adobe PDF - 1.1 MB Published Mar 26, 2021 0 Downloads MD5: ed397ebdebed1ab2df0ff04a63dcf1bd	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
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	9. 2021_EU-IFAD-ETH-BW_Enumerators recording.xls 2021_EU-IFAD_ETH-BW_Additional_Information/MS Excel Spreadsheet - 208.0 KB Published Mar 26, 2021 0 Downloads MD5: 497a3fd6e63681be79936164389d5c83	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	10. 2021_EU_IFAD_ETH-BW_CSA Monitoring Results_GeoFarmer links.xls Basona Werana 2021/MS Excel Spreadsheet - 41.5 KB Published Jul 15, 2021 0 Downloads MD5: 09226e4d807260efb9c8e3dc6447c51b	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
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Citation Metadata

Persistent Identifier	doi:10.7910/DVN/B4TX9L
Publication Date	2021-03-26
Title	2021 - IFAD-EU/CCAFS CSA Monitoring: Basona Werana Climate-Smart Village (Ethiopia)
Author	Alliance Bioversity International - The International Center for Tropical Agriculture (CIAT) / Climate Change, Agriculture and Food Security (CCAFS)0000-0002-6098-000X Alliance Bioversity International - The International Center for Tropical Agriculture (CIAT)0000-0001-7317-3381 Alliance Bioversity International - The International Center for Tropical Agriculture (CIAT)0000-0002-3657-5223 Alliance Bioversity International - The International Center for Tropical Agriculture (CIAT)0000-0002-4846-2330 International Livestock Research Institute (ILRI) / Climate Change, Agriculture and Food Security (CCAFS)0000-0002-1146-7197 International Livestock Research Institute (ILRI) / Climate Change, Agriculture and Food Security (CCAFS)0000-0002-0827-4466 Jimma University (JU)0000-0002-3023-2908 Tesfaye, AboneshInternational Livestock Research Institute (ILRI) / Climate Change, Agriculture and Food Security (CCAFS)
Point of Contact	Use email button above to contact. Recha, John (International Livestock Research Institute (ILRI) / Climate Change, Agriculture and Food Security (CCAFS))
Description	This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Basona Werana Climate Smart Village (Ethiopia) in February 2021. This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based evidence by tracking the progress on: adoption of CSA practices and technologies, as well as access to climate information services and their related impacts at household level and farm level The CSA framework allows to address three key research questions: Who within each CSV community adopts which CSA technologies and practices and which are their motivations, enabling factors? To which extent farmers access and use climate information services? Which are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood, agricultural, food security and adaptive capacity, and on key gender dimensions (participation in decision making, participation in CSA implementation and dis-adoption, control and access over resources and labour). Which are the CSA performance, synergies and trade-offs found at farm level? (Note that this 3d. question was not addressed in this specific Basona Werana 2021 monitoring, as farm level data were not collected) The CSA framework proposes a small set of standard Core Indicators linked to the research questions, and Extended indicators covering aspects related to the enabling environment. At household level (17 Core indicators): 7 Core Uptake indicators (they track CSA Implementation and adoption drivers; CSA dis-adoption and drivers; Access to climate information services and agro-advisories, Capacity to use them and constraining factors). 10 Core Outcome indicators (they track farmers perceptions on the effects of CSA practices on their Livelihoods, Food Security and Adaptive Capacity and on Gender dimensions. Those include namely: CSA effect on yield/production, on Income, on Improved Food Access and Food Diversity, on Vulnerability to weather related shocks and on Changes in agricultural activities induced by access to climate information. Four are Gender related Outcome indicators (Decision-making on CSA implementation or dis-adoption, Participation in CSA implementation, CSA effect on labor, Decision making and control on CSA generated income). An additional set of complementary Extended indicators allows to determine and track changes in enabling conditions and farmers characteristics such as: Livelihood security, Financial enablers, Food security, Frecuency of climate events, Coping strategies, Risk Mitigation Actions, Access to financial services and Training, CSA Knowledge and Learning. At farm level, 7 CORE indicators 7 Core indicators are used to determine the CSA performance of the farms as well as synergies and trade-offs among the three pillars (productivity, adaptation and mitigation, via farm model analysis). 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. For the implementation in the context of the EU-IFAD/CCAFS project, some slight changes were made to the questionnaire in order to focus the data collection on tackling: The impacts of Climate events Farmers’ access and use of CIS Farmer’s implementation of CSA practices, and the perceived household level outcomes related to the implementation of CSA practices in the two targetted Ethiopian CSVs. The adjusted survey questionnaire includes the following thematic modules: -M1A Demographic (few additional questions not included in the “MASTER” CSA monitoring questionnaire were added coming from Rhomis) -M1D Financial services (reduced set of original questions from the Financial Master) -M2, Climate events (no changes made) -M3, Climate Information Services -M5, CSA practices (no changes made) ** The Module Food Security from the Master questionnaire of the CSA framework was not included. Information on Food security captured using RhOMIS. (2021-02-28)
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	Monitoring (AGROVOC) http://aims.fao.org/aos/agrovoc/c_4911 Climate Smart Agriculture (AGROVOC) http://aims.fao.org/aos/agrovoc/c_1361789093890 Households (AGROVOC) http://aims.fao.org/aos/agrovoc/c_3676 Livelihoods (AGROVOC) http://aims.fao.org/aos/agrovoc/c_1374498089962 Farmers (AGROVOC) http://aims.fao.org/aos/agrovoc/c_2805 Adaptation (AGROVOC) http://aims.fao.org/aos/agrovoc/c_117 Food Security (AGROVOC) http://aims.fao.org/aos/agrovoc/c_10967 Climate Shocks
Topic Classification	Monitoring (AGROVOC) http://aims.fao.org/aos/agrovoc/c_4911 Climate Smart Agriculture (AGROVOC) http://aims.fao.org/aos/agrovoc/c_1361789093890
Related Publication	Terefe, H., Argaw, M., Tamene, L. et al. Effects of sustainable land management interventions on selected soil properties in Geda watershed, central highlands of Ethiopia. Ecol Process 9, 14 (2020). doi s13717-020-0216-2 https://doi.org/10.1186/s13717-020-0216-2 Tadesse M, Simane B, Ambaw G, Recha J, Abera W, Tamene L, Demeke G, Mekonnen K, Radeny M, Solomon D. 2018. Building soil carbon stocks to enhance adaptation and mitigate climate change in climate-smart landscapes, Southern Ethiopia. CCAFS Info Note. Wageningen, Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). handle 10568/98536 https://hdl.handle.net/10568/98536 Kristjanson, P., Neufeldt, H., Gassner, A. et al. 2012. Are food insecure smallholder households making changes in their farming practices? Evidence from East Africa. Food Sec. 4, 381–397. doi s12571-012-0194-z https://doi.org/10.1007/s12571-012-0194-z Kristjanson P, Garlick C, Cramer L, Förch W, Thornton PK Ngungu A. 2014. Global Summary of Baseline Household Survey Results. Version 2. CCAFS Working Paper no. 56. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Copenhagen, Denmark. Available online at: www.ccafs.cgiar.org handle 10568/16426 https://hdl.handle.net/10568/16426 Recha J, Radeny M, Kimeli P, Hafashimana D, Masanyu J, Ssekiwoko F, Odongo W. 2016. Progress in achieving household food security in climate-smart villages in the Albertine Rift, western Uganda. CCAFS Info Note. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). handle 10568/79933 https://hdl.handle.net/10568/79933 Recha J, Kimeli P, Atakos V, Radeny M, Mungai C. 2017. Stories of Success: Climate-Smart Villages in East Africa. Wageningen, Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). handle 10568/81030 http://hdl.handle.net/10568/81030 Mubiru, D.N., Radeny, M., Kyazze, F.B., Zziwa, A., Lwasa, J., Kinyangi, J. and Mungai, C. 2018. Climate trends, risks and coping strategies in smallholder farming systems in Uganda. Climate Risk Management 22: 4-21 https://doi.org/10.1016/j.crm.2018.08.004 handle 10568/98910 https://hdl.handle.net/10568/98910 Radeny M, Desalegn A, Mubiru D, Kyazze F, Mahoo H, Recha J, Kimeli P, Solomon D. 2019. Indigenous knowledge for seasonal weather and climate forecasting across East Africa. Climatic Change 156(4):509-526. https://hdl.handle.net/10568/103231 doi s10584-019-02476-9 https://doi.org/10.1007/s10584-019-02476-9
Notes	At the time of data collection, all survey participants resided within 25 communities in Basona Werana Climate Smart Village, (Ethiopia): (01) Gina Beret, (02) Gudoberet Ketema, (03) Mewkeria Ager, (04) Misage, (05) Mush, (06) Selafa, (07) Tosign Amba, (08) Worage, (09) Woregne, (10) Kese Amba, (11) Kolo Amba, (12) Koshim, (13) Nefage, (14) Dube Hager, (15) Aregaye Belge, (16) Enate Hode, (17) Dube Hager Tach Amba, (18) Woldab Hager, (19) Debe Ager Lay Amba, (20) Tach Mush, (21) Tef Amba, (22) Gedeba, (23) Amba Mado, (24) Woldabager, (25) Tach Mush Lay Amba The households in villages 01-12, and some households in 18 and 20 were direct beneficiaries of the CIAT/CCAFS project whereas the ones visited in villages 13-25 and some households in 09, 11 and 12 were non-beneficiaries or “additional” (potentially non–adopters). The adapted CSA monitoring survey targeted two adults individuals from 396 households actively involved in agricultural activities of the farm. One was the main person involved in deciding and implementing on-farm activities (MAIN AG) how might or not be the official Head of the household. This person had to respond to modules M1A Demographic, M1D Financial services, M2 Climate events, M3, Climate Information Services and M5 CSA practices. The second person of opposite sex also and involved in on-farm activities, responded to Modules M1A Demographic, M1D Financial services, M3, Climate Information Services and M5 CSA practices. Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection. The selection of the enumerators was done by the Alliance Bioversity-CIAT, CCAFS and Africa RISING.
Language	English
Producer	Alliance Bioversity International - International Center for Tropical Agriculture (CIAT) / CGIAR Research Program on Climate Change, Agriculture and Food Security (Flagship 2) (Alliance Bioversity International - CIAT / CCAFS) (Alliance Bioversity-CIAT / CCAFS Flagship 2) https://alliancebioversityciat.org/
Production Date	2021-02-28
Production Location	East Africa
Contributor	Research Group: CCAFS –Flagship 2
Funding Information	2019 funds from IFAD (code for CCAFS/CIAT contract: G158) granted to CCAFS Flagship 2 Climate Smart Technologies and Practices Unit and CCAFS East Africa Unit.: G158
Distributor	CCAFS Flagship 2 Climate Smart Technologies and Practices
Distribution Date	2021-03-26
Depositor	Ortega, Angelly
Deposit Date	2021-03-25
Time Period	Start Date: 2010-01-30; End Date: 2021-01-30
Date of Collection	Start Date: 2021-02-04; End Date: 2021-02-16
Data Type	Survey data; Socio-economic Data; Geographic Data
Software	http://geofarmer.org/
Related Material	2021_EU-IFAD_ETH-BW_Anonymized_Cleaned_Data 2021_EU-IFAD_ETH-BW_Additional_Information 2021_EU-IFAD-ETH-BW_Questionnaire_GF 2021_EU-IFAD-ETH-BW _Survey Tree 2021_EU-IFAD-ETH-BW_Glossary_CSA_practices 2021_EU-IFAD-ETH-BW_Inform_Consents 2021_EU-IFAD-ETH-BW_Comments data cleaning 2021_EU-IFAD-ETH-BW_PROTOCOL OF CLEANING 2021_EU-IFAD-ETH-BW_CIAT Minimum Risk Review Application Minimum Risk Review Application_ME for IDRC 2021_EU-IFAD-ETH-BW_IRB Approval Letter_CSA 2021_EU-IFAD-ETH-BW_Enumerators recording
Related Dataset	CCAFS Household Baseline Survey 2010-2012: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IUJQZV; CCAFS Village Baseline Study 2010-11: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/WQALYL; CCAFS Organizational Baseline Study 2012: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/Q7PKLN

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