2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)

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Bonilla-Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andy; Martínez-Barón, Deissy; Suchini, José Gabriel, 2019, "2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)", https://doi.org/10.7910/DVN/INK5IM, Harvard Dataverse, V2, UNF:6:hXROvEUUIzBPSHZBMEBgqA== [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 Santa Rita Climate Smart Village (Honduras) in April 2018. 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, 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 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)? (2019-12-10)
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	Monitoring, Climate Smart Agriculture, Households, Livelihoods, Adaptation, Food Security, Climate Shocks, Latin America and the Caribbean, Decision and Policy Analysis - DAPA
Related Publication	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.orghandle: 10568/16426
Notes	Universe: At the time of data collection, all survey participants resided within 7 communities in Santa Rita Village, Honduras ("El Mirador", "Tierra Fria No", "Rastrojitos", "Vado Ancho", "La Arada", “La Hermosura", or "Aldea Nueva"). Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection. The initial sample target was ca. 140 households, including the ones covered in the initial CCAFS Baseline (HBS). A total of 256 individuals were sampled: 69 adult females, 84 adult males (age of 35 or above) 58 young females and 45 young males (under age of 35). Two persons were surveyed from each household. Note: 18 respondents were from households with two household heads. These entries have not been removed from the responses sheet.
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	M0_LAM_HND_STR_2018_cleaned_anonymized.tab HND-STR Cleaned anonymized responses M0-M5/Tabular Data - 53.8 KB Published Dec 11, 2019 2 Downloads 22 Variables, 265 Observations UNF:6:x9LKudpnoOUg/OeDVT4I8A==	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	M1_LAM_HND_STR_2018_cleaned_anonymized.tab HND-STR Cleaned anonymized responses M0-M5/Tabular Data - 126.0 KB Published Dec 11, 2019 2 Downloads 73 Variables, 264 Observations UNF:6:bk1Sy9ansB6A56x0LEwgyw==	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	M2_LAM_HND_STR_2018_cleaned_anonymized.tab HND-STR Cleaned anonymized responses M0-M5/Tabular Data - 61.0 KB Published Dec 11, 2019 2 Downloads 32 Variables, 264 Observations UNF:6:rwhRQvKvD/aoaAvfXS06Xg==	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	M3_LAM_HND_STR_2018_cleaned_anonymized.tab HND-STR Cleaned anonymized responses M0-M5/Tabular Data - 88.2 KB Published Dec 11, 2019 2 Downloads 31 Variables, 264 Observations UNF:6:HabKP6hpJjQ2rd+y1Olcrg==	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	M4_LAM_HND_STR_2018_cleaned_anonymized.tab HND-STR Cleaned anonymized responses M0-M5/Tabular Data - 58.5 KB Published Dec 11, 2019 2 Downloads 26 Variables, 264 Observations UNF:6:xLYy8XrZtIJJt32Tz6aLxg==	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	M5_LAM_HND_STR_2018_cleaned_anonymized.tab HND-STR Cleaned anonymized responses M0-M5/Tabular Data - 164.2 KB Published Dec 11, 2019 2 Downloads 102 Variables, 264 Observations UNF:6:hE8rxjhPa++220jNNxbxRQ==	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	1. 2018_LAM HND STR Questionnaire Codified.xls HND-STR Additional information/MS Excel Spreadsheet - 91.0 KB Published Dec 11, 2019 0 Downloads MD5: 4679e91025e1d6e8aef2434318b12b72	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	2. 2018 LAM HND SANTA RITA_CCAFS_Arbol_de_Preguntas_Cuestionario.pdf HND-STR Additional information/Adobe PDF - 1.6 MB Published Dec 11, 2019 0 Downloads MD5: 6b108b305b556d1289fdf6e0ded66663	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	3. 2018 LAM HND STR_ Glosario practicas ASAC.pdf HND-STR Additional information/Adobe PDF - 1.4 MB Published Dec 11, 2019 0 Downloads MD5: 1649ebe3118ac1f7ef96684f57839c60	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	4. 2018 LAM HND STR_ Informed consent.docx HND-STR Additional information/MS Word - 69.9 KB Published Dec 11, 2019 0 Downloads MD5: 77ec4a467c57addbaea33f9b8454fb2c	Access File File Access Restricted Request Access Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX

Citation Metadata

Persistent Identifier	doi:10.7910/DVN/INK5IM
Publication Date	2019-12-11
Title	2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)
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 Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS0000-0003-2317-8760 Suchini, José GabrielCentro Agronómico Tropical de Investigación y Enseñanza - CATIE
Point of Contact	Use email button above to contact. Martinez Salgado, Jesus David (International Center for Tropical Agriculture - CIAT) 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 Santa Rita Climate Smart Village (Honduras) in April 2018. 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, 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 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)? (2019-12-10)
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 Adaptation (AGROVOC) http://aims.fao.org/aos/agrovoc/c_117 Food Security (AGROVOC) http://aims.fao.org/aos/agrovoc/c_10967 Climate Shocks Latin America and the Caribbean (CIAT Region) Decision and Policy Analysis - DAPA (CIAT Research Area)
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	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
Notes	Universe: At the time of data collection, all survey participants resided within 7 communities in Santa Rita Village, Honduras ("El Mirador", "Tierra Fria No", "Rastrojitos", "Vado Ancho", "La Arada", “La Hermosura", or "Aldea Nueva"). Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection. The initial sample target was ca. 140 households, including the ones covered in the initial CCAFS Baseline (HBS). A total of 256 individuals were sampled: 69 adult females, 84 adult males (age of 35 or above) 58 young females and 45 young males (under age of 35). Two persons were surveyed from each household. Note: 18 respondents were from households with two household heads. These entries have not been removed from the responses sheet.
Language	English; Castilian, Spanish
Producer	International Center for Tropical Agriculture (CIAT), CGIAR Research Program on Climate Change, Agriculture and Food Security (Flagship 2) (CIAT / CCAFS Flagship 2) https://ccafs.cgiar.org/es/home
Production Date	2019-12-10
Funding Information	CCAFS Flagship 2 Climate Smart Technologies and Practices funds 2018: G135
Distributor	Climate Smart Technologies and Practices (CGIAR Climate Change, Agriculture and Food Security) (CCAFS - Flagship 2) https://ccafs.cgiar.org/es/home
Depositor	Ortega, Angelly
Deposit Date	2019-12-10
Time Period	Start Date: 2017-04-01; End Date: 2018-05-01
Date of Collection	Start Date: 2018-04-01; End Date: 2018-05-01
Data Type	Survey data; Socio-economic Data; Geographic Data; Environmental Data; Capacity Building
Related Material	HND-STR Cleaned anonymized responses M0-M5 HND-STR_Anonymized responses_Calculator HND-STR Additional information 2018_LAM HND STR Questionnaire Codified 2018_LAM HND STR_Arbol de Preguntas 2018 LAM HND STR_ Glosario prácticas ASAC 2018 LAM HND STR_ Informed consent 2018 LAM HND STR_Comments on data cleaning Minimum Risk Review Application_ME for IDRC_20180628 6b. IRB Approval Letter_CSA_perf - extension 2019 2018 LAM HND STR _ Introductory presentation Enumerators training (Spanish) 2018_LAM_HND_STR_CSA Monitoring Results_GeoFarmer links
Other Reference	https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IUJQZV https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/PWVLTU

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