Global Comparative Study on REDD+

The Global Comparative Study on REDD+ (GCS REDD+) was launched in 2009 by the Center for International Forestry Research (CIFOR) to ensure that policy-makers and practitioner communities have access to – and use – the information, analyses and tools they need to: design and implement REDD+ and other forest-based mitigation strategies in effective, efficient and equitable ways that also promote social and environmental co-benefits; and rigorously assess to what degree REDD+ has delivered. Module 2 (Subnational REDD+ and low emissions development initiatives) focuses on assessing the performance of subnational REDD+ and other low-emission development initiatives, including subnational jurisdictional programmes and local-level projects. Module 2 evaluated the impacts of 23 REDD+ project and program sites in six countries: Brazil, Cameroon, Indonesia, Peru, Tanzania and Vietnam.

The research uses a before–after/control–intervention (BACI) approach. In this approach, identical data are collected both before and after the initiative starts, and in an ‘intervention’ area (that is, the location that is impacted by the REDD+ initiative) and a ‘control’ area (that is, a location that has similar characteristics to the intervention area, but is not impacted by the REDD+ initiative). Data collection for the ‘before’ period was carried out in 2010/11 (hereafter referred as ‘Phase 1’), and for the ‘after’ period in 2013/14 (hereafter referred as ‘Phase 2’). At each site, four intervention villages and four control villages were surveyed. In each village, three types of data collection instruments were implemented in both research phases: a Household Questionnaire; a Village Questionnaire; and a Women’s Questionnaire.

GCS-REDD+ Subnational Initatives quality assurance
FTA’s GCS-REDD+ Subnational Initatives datasets have been peer-reviewed to ensure that they meet CGIAR’s ‘quality of research for development’ (QoR4D) framework. This framework, developed with strong methodological contributions from FTA, comprises criteria for relevance, credibility, legitimacy and effectiveness.

The GCS-REDD+ Subnational Initatives datasets have been independently evaluated as contributing to a well-defined research question important to forests, trees and agroforestry, and to FTA’s Theory of Change. The GCS-REDD+ Subnational Initatives datasets also contribute new knowledge on forests, trees and agroforestry.

The credibility of the GCS-REDD+ Subnational Initatives datasets has been externally verified. The datasets belong to FTA partners – and can be used by FTA.

The GCS-REDD+ Subnational Initatives datasets have been generated through a rigorous research design; they are complete, curated and cleaned. The datasets, the underlying methods and related findings are robust, and sources of knowledge are dependable and sound.

The GCS-REDD+ Subnational Initatives datasets have been assessed as meeting the criteria for legitimacy. Data have been collected following both Free Prior Informed Consent (FPIC) and the research ethics guidelines of FTA, ensuring the underlying research process is fair and ethical and perceived as such, including proper representation of all involved and consideration of interests and perspectives of intended users. Gender considerations, and thus a gender lens, is reflected in the data collected.

The GCS-REDD+ Subnational Initatives datasets and related products and services are accessible and well positioned for uptake and use (by researchers and stakeholders), including capacity development and proper support to the enabling environment. GCS-REDD+ Subnational Initatives dataset on the FTA website are also available and accessible on the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) interoperable repository site, Dataverse. Data are also described by sufficient metadata (CG-Core).

If you use the GCS-REDD+ Subnational Initatives dataset in any way, we would be happy to hear from you and support the visibility of your research by publishing a data story on your research. To submit a data story, click here(

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Global Comparative Study on REDD+ (GCS) datasets

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