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Book (series)National socioeconomic surveys in forestry: guidance and survey modules for measuring the multiple roles of forests in household welfare and livelihoods 2016Better understanding the contributions of forests and trees in household welfare, livelihoods and poverty reduction is crucial for achieving several Sustainable Development Goals. Yet, systematic comparison of human dependence on forests and trees has often been focusing on case studies. Developing nationally- representative figures on the contributions of forest and wild products in households throughout countries requires a more systematic approach across vegetation/forest types, ecoregions and different factors influencing the levels of resource use. Enabling thereby consistent measurement of such contributions at national level could lead to more informed policymaking and better capture of the true value of forests and trees in a range of metrics, such as national poverty measurements and GDP. With this view, the Food and Agriculture Organization of the United Nations (FAO), the Center for International Forestry Research (CIFOR), the International Forestry Resources and Institutions (IFRI) Network, and the World Bank's Living Standards Measurement Study (LSMS) team and Program on Forests (PROFOR) developed specialized forestry modules and the guidance on using them, particularly for LSMS- type surveys. These modules, covering 15 thematic areas, are expected to help in filling current information gaps concerning the relationship of forests and trees to household welfare and livelihoods. This publication, targeted primarily at national statistical offices, explains how these modules can be used, including customizing them according to policy and research needs of different users. It also briefly covers the results of the pilot tests of the modules in Indonesia, United Republic of Tanzania and Nepal.
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Brochure, flyer, fact-sheetIntroduction to national socioeconomic surveys in forestry
E-learning fact sheet
2020Also available in:
No results found.This fact sheet describes the courses that aim to provide guidance on the use of forestry modules to collect data on the socioeconomic contributions of forests and non-forests environments to household welfare and livelihoods. This course presents the background and relevance of forest-related questions in household surveys. It also indicates how to use the forestry modules for Living Standards Measurement Survey (LSMS) type surveys and for other users. -
ArticleLessons learned from national socioeconomic surveys in forestry
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Advancing conservation, restoration and sustainable management of forests is key to making progress towards the achievement of the Sustainable Development Goals (SDGs). In addition to monitoring biophysical conditions, mapping and measuring socioeconomic benefits from forests is critical to support policy-making that promotes improved targeting of SDG-oriented policies and to demonstrate contributions of forests to livelihoods. Obtaining socioeconomic information in forestry is essential to having a better understanding of the drivers of forest change and the extent to which individuals and communities rely upon forests and trees for meeting various needs ranging from livelihoods to well-being. A review of lessons learned from FAO’s involvement in forest-related socioeconomic data collection is presented, applying key steps of socioeconomic survey development and design, adapted from Neumann (2014), drawing on comparative experiences from eight countries. Key lessons are presented and recommendations made for future improvements to designing and implementing socioeconomic surveys as well as utilizing socioeconomic information in support of evidence-based policymaking. The review highlights that socioeconomic data collection as part of national forest inventory (NFI) efforts requires a clear focus on the objectives and purposes for collecting the data. Furthermore, it points to the importance of the choice of sampling frames and their effect on inferences about characteristics of forests and inferences about socioeconomic characteristics of the human population. Different institutional collaboration and data collection procedures have been piloted and developed, with varying success, to meet these challenges. Keywords: Socioeconomic surveys; forestry data; socioeconomic monitoring, national forest inventories; sampling frames ID: 3487337
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