{"query_echo":{"q":"","filters":{"analysis_type":["methodological guidance"]},"warnings":[]},"total":{"value":24,"relation":"eq"},"page":2,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=methodological+guidance&page=2","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"wri-000068","url":"https://climateinsightsdirectory.org/document/wri-000068","title":"Monitoring Implementation and Effects of GHG Mitigation Policies: Steps to Develop Performance Indicators","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.wri.org/research/monitoring-implementation-and-effects-ghg-mitigation-policies-steps-develop-performance","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document outlines a three-step process for developing performance indicators to track GHG mitigation policies: formulating a list of possible indicators, selecting a feasible subset based on six guiding principles, and establishing a data collection and monitoring plan. It categorizes indicators into five primary types—input, activity, intermediate effect, GHG effects, and non-GHG effects—to assess both the delivery of resources and the resulting environmental, social, and economic changes.","ai_generated":true,"unit":"wri-000068#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The process for developing performance indicators consists of three sequential steps: formulating a list of potential indicators, selecting the specific indicators to be used for monitoring, and the subsequent collection and monitoring of data.","ai_generated":true,"unit":"wri-000068#insight-1","date_modified":"2026-10-23"},{"text":"Policy monitoring indicators are classified into five main types: input indicators (tracking resource delivery), activity indicators (tracking actions by the implementing authority), and three result-oriented categories: intermediate effect, GHG effects, and non-GHG effects indicators. The paper also notes the use of transformation indicators for sector or economy-level change.","ai_generated":true,"unit":"wri-000068#insight-2","date_modified":"2026-10-23"},{"text":"To narrow a broad list of possible indicators down to a feasible subset, the paper proposes six evaluation principles: indicators must be policy relevant, representative of various types, based on cost-effective or available data, supportive of meaningful comparisons, unambiguous and understandable, and reported frequently enough to track change.","ai_generated":true,"unit":"wri-000068#insight-3","date_modified":"2026-10-23"},{"text":"The final stage of the process requires establishing specific data needs for each indicator, determining if existing data is usable, identifying collection methods for new data, and creating a formal monitoring plan to document the system.","ai_generated":true,"unit":"wri-000068#insight-4","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodological guidance"]},{"id":"wri-000457","url":"https://climateinsightsdirectory.org/document/wri-000457","title":"Geospatial Methods for Corporate GHG Accounting of Deforestation and Land Occupation","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.wri.org/research/geospatial-methods-corporate-ghg-accounting-deforestation-and-land-occupation","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document presents a methodology developed by the World Resources Institute and partners to standardize corporate GHG accounting for deforestation and land occupation. It addresses the inconsistency in current corporate reporting caused by the flexibility of existing frameworks like the GHG Protocol's Land Sector and Removals Guidance (LSRG). By using open, globally consistent spatial datasets, the methodology provides a common reference for emission factors across various crops and jurisdictions to improve transparency and comparability in scope 1 and scope 3 inventories.","ai_generated":true,"unit":"wri-000457#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Existing standards for land use change emissions reporting allow for significant flexibility in data and method selection, which hinders the ability of companies and third parties to operationalize and compare metrics consistently.","ai_generated":true,"unit":"wri-000457#insight-1","date_modified":"2026-10-23"},{"text":"The proposed methodology provides a robust approach for calculating GHG emissions specifically from deforestation—defined as the loss of tall, woody vegetation with a tree canopy density of 10 percent or more—and associated soil carbon emissions resulting from agricultural production.","ai_generated":true,"unit":"wri-000457#insight-2","date_modified":"2026-10-23"},{"text":"Because the current guidebook focuses on deforestation and soil carbon, emissions estimates for crops that primarily replace nonforest ecosystems, such as rice, wheat, soybean, and maize, may be systematically underestimated.","ai_generated":true,"unit":"wri-000457#insight-3","date_modified":"2026-10-23"},{"text":"The methodology utilizes open-source methods and globally consistent datasets to establish LUC emission factors from forest to raw crops, aiming to harmonize corporate GHG inventories and provide a benchmark for future reporting.","ai_generated":true,"unit":"wri-000457#insight-4","date_modified":"2026-10-23"}],"climate_tags":["carbon accounting","deforestation","land-use change","Scope 3","GHG Protocol"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodological guidance"]},{"id":"wri-000593","url":"https://climateinsightsdirectory.org/document/wri-000593","title":"Guidelines for Quantifying GHG Reductions from Grid-Connected Electricity Projects","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.wri.org/research/guidelines-quantifying-ghg-reductions-grid-connected-electricity-projects","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The guidelines serve as a supplement to the Greenhouse Gas Protocol for Project Accounting, offering a program-neutral framework for project developers and program designers to account for GHG reductions and derive marginal grid emission factors.","ai_generated":true,"unit":"wri-000593#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The guidelines are designed to assist project developers in quantifying GHG reductions for activities that are not part of a specific regulatory system or GHG offset program.","ai_generated":true,"unit":"wri-000593#insight-1","date_modified":"2026-10-23"},{"text":"The document provides guidance for designers of programs and systems to determine the GHG emissions avoided or displaced by project activities by deriving marginal grid emission factors.","ai_generated":true,"unit":"wri-000593#insight-2","date_modified":"2026-10-23"},{"text":"The guidelines are intended to be flexible and neutral regarding specific policies or programs while maintaining a rigorous and transparent accounting of GHG reductions.","ai_generated":true,"unit":"wri-000593#insight-3","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","electrical grid","carbon accounting"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodological guidance"]},{"id":"wwf-000984","url":"https://climateinsightsdirectory.org/document/wwf-000984","title":"Global Farm Loss Tool Guidance 2.0","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/documents/2502/GFLT_Guidance_Manual_2.0_4_29.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Global Farm Loss Tool (GFLT) is a measurement framework designed for growers of specialty crops to quantify food that reaches maturity but does not enter the human consumption supply chain. The guidance outlines methodologies for in-field sampling and direct weighing, as well as tracking losses in subsequent on-farm stages such as packinghouses, processing facilities, and storage. By categorizing losses as marketable, edible but not marketable, or spoiled, the tool helps growers and buyers identify operational efficiencies and secondary market opportunities. Additionally, the GFLT integrates calculations to estimate the associated greenhouse gas emissions and water use impacts of these losses, allowing users to track intensity reductions following interventions.","ai_generated":true,"unit":"wwf-000984#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The GFLT is designed to measure food loss specifically for crops intended for human consumption that have reached maturity but are not used, covering stages from the field through on-farm transportation, packinghouses, processing, storage, and rejected products returned to the farm.","ai_generated":true,"unit":"wwf-000984#insight-1","date_modified":"2026-10-23"},{"text":"The tool categorizes unharvested or lost crops into three distinct quality levels to help determine the potential for surplus recovery: marketable (meets buyer specifications), edible but not marketable (safe for consumption but fails specifications), and spoiled (damaged, diseased, or decayed).","ai_generated":true,"unit":"wwf-000984#insight-2","date_modified":"2026-10-23"},{"text":"For in-field loss, the guidance recommends a sampling methodology involving the harvest of all remaining product from at least three representative rows or plots (e.g., 50 feet for rows or 10-foot by 10-foot plots for trees), which is then extrapolated to the total harvested area.","ai_generated":true,"unit":"wwf-000984#insight-3","date_modified":"2026-10-23"},{"text":"The GFLT accounts for weight changes caused by moisture fluctuation during on-farm stages, ensuring that physical product loss is not overstated by using initial and final moisture content percentages in its calculations.","ai_generated":true,"unit":"wwf-000984#insight-4","date_modified":"2026-10-23"},{"text":"The tool estimates environmental impacts by multiplying total loss in kilograms by per-kilogram intensity factors for greenhouse gas emissions and water use, utilizing data from sources such as FAOSTAT and Wageningen University.","ai_generated":true,"unit":"wwf-000984#insight-5","date_modified":"2026-10-23"},{"text":"The GFLT allows users to quantify the effectiveness of interventions by comparing pre- and post-intervention water and GHG intensity, calculating the percentage reduction in environmental impact per kilogram of harvested crop.","ai_generated":true,"unit":"wwf-000984#insight-6","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","water footprint","sustainable agriculture"],"geography_discussed":["United States"],"frame_perspective":[],"analysis_type":["methodological guidance","impact assessment"]}]}