10.7910/DVN/RJGSDF
Bonilla-Findji, Osana
Osana
Bonilla-Findji
https://orcid.org/0000-0002-6098-000X
International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security – CCAFS
Eitzinger, Anton
Anton
Eitzinger
https://orcid.org/0000-0001-7317-3381
International Center for Tropical Agriculture - CIAT
Andrieu, Nadine
Nadine
Andrieu
https://orcid.org/0000-0001-9558-9302
Centre de coopération internationale en recherche agronomique pour le développement – CIRAD
Jarvis, Andy
Andy
Jarvis
https://orcid.org/0000-0001-6543-0798
International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security – CCAFS
Recha, John
John
Recha
https://orcid.org/0000-0002-1146-7197
International Livestock Research Institute - ILRI; Climate Change, Agriculture and Food Security – CCAFS
Ambaw, Gebermedihin
Gebermedihin
Ambaw
https://orcid.org/0000-0002-0827-4466
International Livestock Research Institute - ILRI; Climate Change, Agriculture and Food Security – CCAFS
Kakeeto, Ronald
Ronald
Kakeeto
https://orcid.org/0000-0001-7622-6944
National Agricultural Research Organisation - NARO
2018- CSA Monitoring: Hoima Climate-Smart Village (Uganda)
Harvard Dataverse
2019
Earth and Environmental Sciences
Agricultural Sciences
Monitoring
Climate Smart Agriculture
Households
Livelihoods
Adaptation
Food Security
Climate Shocks
Farm
East Africa
Decision and Policy Analysis - DAPA
International Center for Tropical Agriculture (CIAT) / CGIAR Research Program on Climate Change, Agriculture and Food Security (Flagship 2)
Recha, John
John
Recha
International Livestock Research Institute - ILRI; Climate Change, Agriculture and Food Security – CCAFS
Bonilla-Findji, Osana
Osana
Bonilla-Findji
International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security – CCAFS
2019-12-20
2019-12-20
2019-12-20
2019-12-20
2021-03-11
2018-10-01/2018-10-24
2017-10-01/2018-10-01
Survey data;Socio-economic Data;Geographic Data;Environmental Data;Capacity Building
10568/16426
10568/79933
10568/81030
10568/98910
10568/103231
10.7910/DVN/RJGSDF/VMR9DI
10.7910/DVN/RJGSDF/LMHLC2
10.7910/DVN/RJGSDF/EKJ7K4
10.7910/DVN/RJGSDF/I91QUI
10.7910/DVN/RJGSDF/RDSBKK
10.7910/DVN/RJGSDF/MYZXAF
10.7910/DVN/RJGSDF/LYL3SG
10.7910/DVN/RJGSDF/WBYHCZ
10.7910/DVN/RJGSDF/DSWB5Q
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31232
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352256
10088
122288
2642
141822
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3038
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34304
90928
37888
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105640
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83041
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3.0
Creative Commons CC0 1.0 Universal Public Domain Dedication.
This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Hoima Climate Smart Village (Uganda) in October 2018.
<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> their related impacts at household level and farm level
This framework proposes standard Descriptive Indicators to track changes in:
<ul>
<li type="circle"> 5 enabling dimensions that might affect adoption patterns,</li>
<li type="circle"> 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 </li>
<li type="circle">4 CORE indicators on Gender aspects (Participation in decision making, Participation in implementation, Access/control over Resources and work time).</li>
<li type="circle">At farm level, 7 CORE indicators are suggested to determine farms CSA performance, as well as synergies and trade-offs among the three pillars.</li>
</ul>
</ul>
<br>
This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real time.
<br>
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.
<br>
The framework responds to three main research questions:
<ol>
<li value="1">Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors?</li>
<li> 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)?</li>
<li>How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)? </li>
</ol>
Universe: At the time of data collection, all survey participants resided within 7 communities in Hoima Climate Smart Villages, Uganda ("Kibaire", "Kiranga", "Kyamongi", "Kasinina", "Mparangasi", "Nyakakonge", or "Katikara").
<br>
Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection.
<br>
A total of 453 farmers were interviewed: 115 adult females, 145 adult males (age 35 or over), 108 young females and 76 young males (under age 35). Where possible, two adults and one “young” person were surveyed from each household.
<br>
9 individuals had unrecorded birth years.
CCAFS Flagship 2 Climate Smart Technologies and Practices funds 2018
G135