DOI: 10.7910/dvn/iawc28
title: 2018 - CSA Monitoring: Tuma La Dalia Climate-Smart Village (Nicaragua)

description: 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:
&lt;ul&gt; 
&lt;li type= disc&gt; Adoption of CSA practices and technologies, as well as access to climate information services and 
&lt;li type= disc&gt; Their related impacts at household level (and farm level, in selected sites).
This framework proposes standard Descriptive Indicators to track changes in:
&lt;ul&gt;
&lt;li&gt; 5 enabling dimensions that might affect adoption patterns,
&lt;li&gt; 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 
&lt;li&gt; 4 CORE indicators on Gender aspects (Participation in decision-making, Participation in implementation, Access/control over Resources and work time).
&lt;li&gt; At farm level, 7 CORE indicators are suggested to determine farms CSA performance, as well as synergies and trade-offs among the three pillars.
&lt;/ul&gt;
&lt;/ul&gt;
This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real-time. 
&lt;br&gt;
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. 
&lt;br&gt;
The framework responds to three main research questions: 
&lt;ol&gt;
&lt;li value="1"&gt;Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors?&lt;/li&gt;
&lt;li&gt;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)?&lt;/li&gt;
&lt;/ol&gt;
How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)?
description: Universe: At the time of data collection, all survey participants resided within 7 communities in Olopa Village, Guatemala ("El Consuelo ", " Las Veguitas", " Hilipo", " Aguas Amarillas", " Wasaka abajo", “Guapotalito", " San Benito", or “La Primavera”). 
Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection.
The initial sample target was : 140 households, including the ones covered in the initial CCAFS Baseline (HBS).

A total of 262 individuals were sampled: 105 adult females, 96 adult males (age of 35 or above), 35 young females and 22 young males (under age of 35). Two adults were surveyed from each household. 4 individuals had unrecorded birth years.