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Book (series)Technical studyManual on sample-based data collection for fisheries assessment. Examples from Viet Nam. 2000
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No results found.This manual deals with the practical implementation of a routine data collection programme. The data collection programme is developed through a top-down approach, from the identification of the objectives down to the practical recording and management of data obtained from the fishery. The issues are dealt with both through detailed discussion and by using simple examples. The examples are mostly based on situations in tropical fisheries, and in particular, experience has been drawn from develo ping a data collection programme in Viet Nam. The main questions addressed in the manual are which fisheries data to collect, where and when to collect them. Only data collected from commercial marine capture fisheries are considered (data from freshwater fisheries, cultured fish and experimental fishery are excluded). The methodologies used are mainly appropriate for a tropical, developing country, with many small (artisanal) vessels and a few large (industrial) vessels. The methodology is the “sample-based approach” - the manual does not deal with a methodology which assumes complete enumeration. The data collection methodology presented attempts to utilize whatever information can be obtained in practice in a developing country. Processing and storing of data (fisheries databases) and staff training are partly covered. -
BookletTechnical studyA global methodology for the assessment of direct drivers associated with deforestation and degradation
Using Open Foris solutions for informed decisions
2025Also available in:
No results found.Despite international efforts and progress towards reducing deforestation and degradation, population growth, demand for natural resources and human dependence on forest ecosystems contribute to forest loss, ultimately impacting global climate and sustainable development efforts. Many studies have proven that small-scale or subsistence agricultural activities are the most prevalent direct driver of forest loss, requiring specific solutions to achieve food security, maintain livelihoods and adapt to future climate changes. This study uses satellite imagery, analysed with open-source tools from the Open Foris package (most notably the System for Earth Observation Data Access, Processing and Analysis for Land Monitoring [SEPAL]) to identify deforestation, degradation and associated direct drivers in six Central African countries. Dense time series are used to process hundreds of satellite image observations over the 2015–2020 period to automatically observe forest disturbances, which were then validated and associated with specific direct drivers through visual interpretation of high-resolution imagery. -
Book (stand-alone)Technical bookGood practices in sample-based area estimation 2024
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No results found.Reducing Emissions from Deforestation and Forest Degradation, and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+), as well as greenhouse gas reporting for the agriculture, forestry and other land use sector, requires land use changes to be characterized to estimate the associated greenhouse gas emissions or absorptions. It is becoming increasingly common to generate these estimates using sample-based area estimation (SBAE). This technique has been widely used in recent years in the generation of activity data – particularly for estimating areas of deforestation – for REDD+ measuring, reporting and verification. However, implementing countries and agencies have repeatedly highlighted the lack of guidance on how to address certain frequently encountered issues with this approach. This paper seeks to enable donors, academia, and countries that currently use or want to use SBAE for generating activity data for REDD+ or for other national or international reporting purposes, to delve into current good practice and existing literature, as well as gain a better understanding of the most pressing research needs in the area. The paper moreover will give non-experts an overview of area estimation, as well as its applications and limitations.Published by FAO with the collaborative support of several partners in the Global Forest Observations Initiative (GFOI), the World Bank and the Department for Energy Security and Net Zero of the United Kingdom of Great Britain and Northern Ireland, the paper is expected to contribute to improved forest data.
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