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Workshop 1, session 5 - The FAO monitoring and reporting tool for forest and landscape restoration

Drylands Monitoring Week 19-23 January 2015, FAO HQ, Rome







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    Meeting
    FAO Monitoring and Reporting Tool for Forest and Landscape Restoration
    Regional Technical Workshop on Great Green Wall/Dryland Restoration Nairobi 22-24 February 2016
    2016
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    Document
    From projects to landscapes: FAO/WRI tools for monitoring progress and impacts of Forest and Landscape Restoration
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Restoring degraded lands is a key strategy for mitigating climate change, improving ecosystem health, and sustaining goods and services for people and planet. As part of the Bonn Challenge, New York Declaration on Forests, and other international initiatives, countries are encouraged to collectively restore at least 350 million hectares of degraded lands. Also, 2021-2030 has just been declared the UN Decade on Ecosystem Restoration. Monitoring restoration progress is important for ensuring that restoration activities stay on track to meet local and global goals. Monitoring also provides evidence for communicating successes, which will attract further investments for restoration projects, thereby scaling up efforts. In this context, WRI and FAO have jointly developed a series of tools to help with monitoring restoration. First is a guidebook for practitioners on discussing objectives and impacts and deciding which indicators to consider for monitoring their restoration projects, entitled The Road to Restoration: A Guide to Identifying Priorities and Indicators for Monitoring Forest and Landscape Restoration. Alongside this publication, the organizations prepared an e-learning course within the FAO e-learning academy and a web application called AURORA (Assessment, Understanding and Reporting of Restoration Actions), which facilitate the decision-making process and support users is selecting desired impacts and their indicators, setting up their goals, and monitoring progress. To complement this process, the publication Mapping Together: A Guide to Monitoring Forest and Landscape Restoration using Collect Earth Mapathons was produced to help project managers organize data collection events that establish baselines and monitor progress focusing on biophysical indicators. Here, we briefly present the FAO/WRI set of tools that will facilitate monitoring at different stages and will contribute to more robust monitoring and reporting processes. Keywords: Monitoring and data collection|Landscape management ID: 3623051
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    Book (stand-alone)
    The road to restoration: A guide to identifying priorities and indicators for monitoring forest and landscape restoration.
    Revised version
    2019
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    This guide walks practitioners through seven questions to help them make decisions regarding restoration monitoring. First, practitioners are asked to determine their restoration goals, land use and barriers to sustainability. These choices are filtered by constraints and priorities, so the practitioner will develop the indicators needed to setup their monitoring framework. It provides a framework for identifying indicators. Indicators are value laden measures of development performance designed to measure and calibrate progress. Environmental indicators are used to provide synthesized knowledge on environmental issues, and to highlight the extent of environmental trends. They also help to reduce complexity, provide important links between science and policy, and help decision-makers to provide guidance on environmental governance. An indicator framework can provide a management tool to help countries develop implementation strategies and allocate resources accordingly to reach restoration goals. Tracking progress with indicators can act as a report card to measure progress towards restoration and help ensure the accountability of all stakeholders for achieving the goals. The guide uses country case studies to show how a practitioner could answer the questions, offering a menu of potential indicators for measuring progress that other monitoring practitioners might find useful. Next, it highlights the different types of data that can feed into creating an indicator framework, depending on resource constraints and information needs. Some restoration programs may require fewer, cost-effective indicators that are collected locally. Other programs, may be able to integrate small, locally collected data with big data from satellite imagery and social media.

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