2018 - CSA Monitoring: Tuma La Dalia Climate-Smart Village (Nicaragua)

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Tuma-La-Dalia Climate Smart Village (Nicaragua) 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 labor)? How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)?本数据集收录了2018年4月于尼加拉瓜图马-拉-达利亚气候智慧型村庄（Tuma-La-Dalia Climate Smart Village）实施"气候智慧型农业综合监测框架"过程中产生的全部相关文件。该监测框架由气候与农业食品系统研究计划（CCAFS）研发，计划每年在全球气候智慧型村庄（Climate-Smart Villages, CSV）网络中部署实施，通过追踪以下维度的进展以收集实地实证数据：气候智慧型农业（Climate-Smart Agriculture, CSA）实践与技术的采用情况、气候信息服务的可及性，以及二者在农户层面（部分试点站点涵盖农场层面）的相关影响。该框架设立了标准化描述性指标，用于追踪以下维度的变化：其一为可能影响技术采用模式的5项赋能维度；其二为用于评估气候智慧型农业实践对粮食安全、生产效率、收入与气候脆弱性的感知影响的5项家庭层面核心指标；其三为涵盖决策参与、实施参与、资源获取/控制与工作时长4项内容的性别相关核心指标。在农场层面，该框架提出了7项核心指标，用以评估农场的气候智慧型农业绩效，以及其三大支柱间的协同效应与权衡关系。这套综合监测框架配套了一款高性价比的数据采集应用（Geofarmer），可实现近乎实时的信息采集。本调查问卷以标准化气候智慧型农业指标与特定指标为核心框架，划分为多个主题模块，包括人口统计、生计、粮食安全、气候事件、气候服务、气候智慧型农业实践、金融服务等。该框架旨在回应三大核心研究问题：其一，在每个气候智慧型村庄社区内，哪些农户采用了何种气候智慧型农业技术与实践？其采用动机、赋能因素与制约因素分别是什么？其二，按性别分类的气候智慧型农业方案对农户生计（农业生产、收入、粮食安全、粮食多样性与适应能力）及关键性别维度（决策参与、气候智慧型农业实施参与与弃用、资源与劳动力的控制与获取）的感知影响如何？其三，气候智慧型农业在农场层面的绩效如何？其三大支柱间存在哪些协同效应与权衡关系（全农场模型分析）？