2021- CSA Monitoring/Midline: Olopa Climate-Smart Village (Guatemala) (doi:10.7910/DVN/73LCA6)

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2021- CSA Monitoring/Midline: Olopa Climate-Smart Village (Guatemala)

doi:10.7910/DVN/73LCA6

Harvard Dataverse

2022-01-13

1

Bonilla-Findji, Osana; Eitzinger, Anton; Martínez-Barón, Deissy; Martínez-Salgado, Jesus David; Lopez, Claudia; Guevara, Melvin, 2022, "2021- CSA Monitoring/Midline: Olopa Climate-Smart Village (Guatemala)", https://doi.org/10.7910/DVN/73LCA6, Harvard Dataverse, V1, UNF:6:DaYabwxee/33tMurgWJqrw== [fileUNF]

2021- CSA Monitoring/Midline: Olopa Climate-Smart Village (Guatemala)

doi:10.7910/DVN/73LCA6

Bonilla-Findji, Osana (Alliance Bioversity International - The International Center for Tropical Agriculture (CIAT) / Climate Change, Agriculture and Food Security (CCAFS))

Eitzinger, Anton (Alliance Bioversity International - The International Center for Tropical Agriculture (CIAT))

Martínez-Barón, Deissy (Alliance Bioversity International - The International Center for Tropical Agriculture (CIAT) / Climate Change, Agriculture and Food Security (CCAFS))

Martínez-Salgado, Jesus David (Alliance Bioversity International - The International Center for Tropical Agriculture (CIAT) / Climate Change, Agriculture and Food Security (CCAFS))

Lopez, Claudia (Asociación Regional Campesina Chorti' (ASORECH))

Guevara, Melvin (Asociación Regional Campesina Chorti' (ASORECH))

Alliance Bioversity International - The International Center for Tropical Agriculture (CIAT)

2022-01-12

G135

Harvard Dataverse

CCAFS Flagship 2 Climate Smart Technologies and Practices

Martínez-Barón, Deissy

Martínez-Salgado, Jesus David

Moreno Bustamante, Manuel Francisco

2022-01-12

2022-01-12

https://doi.org/10.7910/DVN/73LCA6

Agricultural Sciences, Earth and Environmental Sciences, Agricultural Sciences, Earth and Environmental Sciences, Monitoring, Climate Smart Agriculture, Households, Livelihoods, Farmers, Adaptation, Food Security, Climate Shocks

<p align="justify"> This dataset contains the files produced in the “adjusted” implementation (see Note below) of the standard “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Olopa Climate-Smart Village (Guatemala) in August-September 2021 </br> <br> 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: </br> <ul> <li> adoption of CSA practices and technologies, as well as access to climate information services and </li> <li> their related impacts at household level and farm level </li> </ul> The CSA framework allows to address three key research questions: </br> <ol> <li value="1"> 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? </li value="1"> </br> <li value="2"> Which is 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). </li value="2"> </br> <li value="3"> Which are the CSA performance, synergies and trade-offs found at farm level? </li value="3"> <br> (Note that this 3d. question was not addressed in this specific 2021 monitoring, as farm level data were not collected) </br> <br> 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): </br> <br> <ul> <li type="circle"> 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). </li type="circle"> <li type="circle"> 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). </li type="circle"> </br> </ul> 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 labour, Decision making and control on CSA generated income). </ul> </br> <br> <ul> <li type="circle"> 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, Frequency of climate events, Coping strategies, Risk Mitigation Actions, Access to financial services and Training, CSA Knowledge and Learning. </li type="circle"> </ul> </br> 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. </br> <br> For the Latin America implementation, some slight changes were made to specific modules of the questionnaire, related to site-specific data collection needs: </br> </br> <ul style= "list-style-type: square"> <li> In the demographic module (M1A): Five additional questions coming from the CCAFS Baseline/Midline questionnaire were added (HHGT60; HHLT5; HHLEAVEAG; ITEMS; UTILI). </li> </br> <li> In module M1D Financial services, ten questions from the original Financial Master Module were excluded (CRSUCOP; TRAGP; TRA1P; TRFIP; TRF1P; SEPYP; SERKP; SESCP; SEGUP; SERCP) </li> </br> <li> In module M2 Climate events, ten original questions from the Climate events Master Module were excluded (CMULT; CMO; CCC12; CCC3; CCA12; CCA3; SCC12; SCC3; SCA12; SCA3). </li> </br> <li> Modules M1B (Farming system), M3 (Climate information services), M4 (Food Security) and M5 (CSA practices) were kept as in the original CSA monitoring Master Questionnaire of the Standard Monitoring Framework implemented in 2018 and 2020. </li> </br> <li> Two additional modules (not related to CSA monitoring framework) were added to this survey questionnaire: Modules M6 (on Social Capital) and M7 (for the Gender Empowerment Index) Additionally, questions about socioeconomic characteristics (ECIV; RELA in M1A) and weather events (AGCLIM in M2) relevant to these modules were included. </li> </ul> </br> </ol>

2020-01-01-2021-07-31

2021-08-02-2021-09-09

Survey data

Socio-economic Data

Geographic Data

CC0 Waiver

For more information please contact Osana Bonilla o.bonilla@cgiar.org

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] Martinez JD, Lopez C. 2020. Implementación del Monitoreo de opciones de Agricultura Sostenible Adaptada al Clima (ASAC): Seguimiento a su adopción e impactos en el TeSAC de Olopa, Guatemala – febrero 2020 Reporte de Actividad. Ciudad de Guatemala, Guatemala: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). https://hdl.handle.net/10568/109696

CCAFS Household Baseline Study, Latin America & South East Asia (2014-2015): https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/PWVLTU

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Bonilla-Findji O, Eitzinger A, Andrieu N. 2021. Implementation Manual: CCAFS Climate-Smart Monitoring Framework - Tackling uptake of CSA options and perceived outcomes at household and farm level. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).

• Number of cases: 46

• No. of variables per record: 8

• Type of File: text/tab-separated-values

UNF:6:DaYabwxee/33tMurgWJqrw==

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10. 2021_LAM_GUA_OLO_CSA Monitoring Results_GeoFarmer links.xls

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1. 2021_LAM_GUA_OLO_Cuestionario_codificado.xls

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2. 2021_LAM_GUA_OLO_Arbol_Cuestionario.pptx

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3. 2021_LAM_GUA-OLO_Glosario_practicas_ASAC.pdf

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4. 2021_LAM_GUA_OLO_Consentimiento_Informado.pdf

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5. 2021_LAM_GUA_OLO_Reporte_Limpieza_Datos.txt

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6. 2021_LAM_GUA-OLO_Protocolo de limpieza y preparacion de datos para analisis.pdf

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7. 2021_LAM_GUA_OLO_CIAT Minimum Risk Review Application.pdf

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8. 2021_LAM_GUA_OLO_CIAT Minimum Risk Rewiew IRB Approval Letter.pdf

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M1A.txt

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M1B.txt

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M1D.txt

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M2.txt

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M3.txt

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M4.txt

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M5.txt

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M6.txt

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M7.txt

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