2019 - CSA Monitoring: Doyogena Climate-Smart Village (Ethiopia)

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Bonilla-Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andy; Recha, John; Ambaw, Gebermedihin; Tadesse, Meron, 2020, "2019 - CSA Monitoring: Doyogena Climate-Smart Village (Ethiopia)", https://doi.org/10.7910/DVN/DOPMQY, Harvard Dataverse, V5, UNF:6:rR3ohzp3CbHOynEIAkRCfw== [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 Doyogena Climate Smart Village (Ethiopia) in October 2019. 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 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 CORE indicators on Gender aspects (Participation in decision-making, Participation in implementation, Access/control over Resources and work time). At farm level, 7 CORE indicators are suggested to determine farms CSA performance, as well as synergies and trade-offs among the three pillars. 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 (agricultural production, income, food security, food diversity 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)? How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)? NOTE: In the case of the 2019 Implementation in Doyogena only questions 1 and 2 where addressed (The “Calculator Modules” of the survey allowing assessing farm level effects of CSA practice on performance were not applied). (2020-03-30)
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	Monitoring, Climate Smart Agriculture, Households, Livelihoods, Farm, Farmers, Adaptation, Food Security, Climate Shocks
Related Publication	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
License/Data Use Agreement	CC0 1.0

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	01. 2019_EA_ETH_DOG_Questionnaire_Codified.xls 2019_EA_ETH-DOG_Additional_Information/MS Excel Spreadsheet - 76.0 KB Published May 8, 2020 1 Download MD5: b54ea5054e2c3431d8baaab4c0924b35	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	10. 2019_EA_ETH_DOG_Introductory Presentation CSA monitorign Training.pdf 2019_EA_ETH-DOG_Additional_Information/Adobe PDF - 5.6 MB Published May 8, 2020 2 Downloads MD5: 4d0a5ff1b62dd21f8902bd5be2543433	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	11. 2019_EA_ETH_DOG_Activity Report_ Implementation of CSA Monitoring.pdf 2019_EA_ETH-DOG_Additional_Information/Adobe PDF - 2.8 MB Published May 8, 2020 1 Download MD5: 32491ab8bfcc9ea0f477393681416f78	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	2. 2019_EA_ETH_DOG_Survey_Master_Tree.pdf 2019_EA_ETH-DOG_Additional_Information/Adobe PDF - 498.6 KB Published May 8, 2020 1 Download MD5: e4214bfb13c1c4a617c09cfbeea6b56d	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	3. 2019_EA_ETH_DOG_Glossary_CSA_practices.pdf 2019_EA_ETH-DOG_Additional_Information/Adobe PDF - 2.0 MB Published May 8, 2020 1 Download MD5: 8461b3201edd4f9842860e478f47db83	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	4. 2019_EA_ETH_DOG_Inform_Consents.pdf 2019_EA_ETH-DOG_Additional_Information/Adobe PDF - 618.8 KB Published May 8, 2020 1 Download MD5: ceddf98b550afc298cc3250a50557711	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	6. 2019_EA_ETH_DOG_Protocol of cleaning and preparationof data 2019-2020.pdf 2019_EA_ETH-DOG_Additional_Information/Adobe PDF - 786.9 KB Published May 8, 2020 1 Download MD5: fa499473f89685dac1a335968c77a7f1	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	7. 2019_EA_ETH_DOG_CIAT Minimum Risk Review Application.pdf 2019_EA_ETH-DOG_Additional_Information/Adobe PDF - 1.1 MB Published May 8, 2020 1 Download MD5: 6edce40536f9dd9c065306600729cc78	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	8. 2019_EA_ETH_DOG_CIAT Minimum Risk Rewiew IRB Approval Letter.pdf 2019_EA_ETH-DOG_Additional_Information/Adobe PDF - 590.1 KB Published May 8, 2020 0 Downloads MD5: da82441f686afcc7357f37c74fe096c3	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/DOPMQY
Publication Date	2020-05-08
Title	2019 - CSA Monitoring: Doyogena Climate-Smart Village (Ethiopia)
Author	International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS0000-0002-6098-000X International Center for Tropical Agriculture - CIAT0000-0001-7317-3381 Centre de coopération internationale en recherche agronomique pour le développement - CIRAD0000-0001-9558-9302 International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS0000-0001-6543-0798 International Livestock Research Institute - ILRI; Climate Change, Agriculture and Food Security - CCAFS0000-0002-1146-7197 International Livestock Research Institute - ILRI; Climate Change, Agriculture and Food Security - CCAFS0000-0002-0827-4466 International Livestock Research Institute - ILRI; Climate Change, Agriculture and Food Security - CCAFS0000-0002-0970-1351
Point of Contact	Use email button above to contact. Recha, John (International Livestock Research Institute - ILRI; Climate Change, Agriculture and Food Security - CCAFS) Bonilla-Findji, Osana (International Center for Tropical Agriculture - CIAT; 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 Doyogena Climate Smart Village (Ethiopia) in October 2019. 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 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 CORE indicators on Gender aspects (Participation in decision-making, Participation in implementation, Access/control over Resources and work time). At farm level, 7 CORE indicators are suggested to determine farms CSA performance, as well as synergies and trade-offs among the three pillars. 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 (agricultural production, income, food security, food diversity 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)? How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)? NOTE: In the case of the 2019 Implementation in Doyogena only questions 1 and 2 where addressed (The “Calculator Modules” of the survey allowing assessing farm level effects of CSA practice on performance were not applied). (2020-03-30)
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 Farm 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	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: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://doi.org/10.1007/s10584-019-02476-9 handle 10568/103231 https://hdl.handle.net/10568/103231
Language	English
Producer	International Center for Tropical Agriculture (CIAT), CGIAR Research Program on Climate Change, Agriculture and Food Security (Flagship 2) (CGIAR Research Program on Climate Change, Agriculture and Food Security - CCAFS) (CIAT / CCAFS Flagship 2) https://ccafs.cgiar.org/es/home
Production Date	2020-03-30
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	2020-03-30
Depositor	Ortega, Angelly
Deposit Date	2020-03-30
Time Period	Start Date: 2018-10-01; End Date: 2019-10-01
Date of Collection	Start Date: 2019-11-02; End Date: 2019-11-10
Data Type	Survey data; Socio-economic Data; Geographic Data
Series	At the time of data collection, all survey participants resided within 7 communities in Doyogena Climate Smart Village, (Ethiopia): Tula, Suticho, Gewada, Cholola 2, Tachignaw Genjo, Duna and Gatame 1. The households in the first 6 villages were direct beneficiaries of the CCAFS project whereas the ones visited in Gatame1 were non-beneficiaries or “additionals” (potentially non–adopters). Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection. This survey was based on interviews of two adults individuals from 149 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. The second person had to be of opposite sex also involved in on-farm activities. A total of 285 farmers were interviewed: 140 adult females, 137 adult males.
Related Material	2019_EA_ETH_DOG_Anonymized_Cleaned_Data_M1A-M5 2019_EA_ETH-DOG_Additional_Information 2019_EA_ETH_DOY_Questionnaire_Codified 2019_EA_ETH_DOY_Survey_Master_Tree 2019_EA_ETH_DOY_Glossary_CSA_practices 2019_EA_ETH_DOY_Inform_Consents 2019_EA_ETH_DOY_Comments_Data_Cleaning 2019_EA_ETH_DOG_Protocol of cleaning and preparation of data 2019-2020 2019_EA_ETH_DOY_CIAT Minimum Risk Review Application 2019_EA_ETH_DOY_CIAT Minimum Risk Rewiew IRB Approval Letter 2019_EA_ETH_DOY_CSA Monitoring_EnumeratorsSheets_Completed 2019_EA_ETH_DOY_Introductory Presentation CSA monitoring Training 2019_EA_ETH_DOY_Activity Report_ Implementation of CSA Monitoring 2019_EA_ETH_DOY_CSA Monitoring Results
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 Organisational Baseline Study 2012: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/Q7PKLN

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