Search Climate Insights Directory

The report describes two distinct but complementary tools for monitoring energy communities in Colombia: a national-scale longitudinal tracking tool by Transforma and a deep socioeconomic evaluation tool by ICSI. While Transforma's methodology focuses on the project life cycle (planning, construction, and operation) via community representatives, ICSI's approach uses household-level surveys to analyze territorial transformations. The document argues that using these tools in sequence or simultaneously provides a more robust diagnosis by combining organizational perspectives with real-world territorial conditions, as demonstrated by a pilot application in Tomarrazón, La Guajira.

The document details a pilot project involving the Episcopal Church in the Philippines (ECP) to measure GHG emissions across various assets. The survey categorized assets into five types—including churches and schools—and analyzed emissions from energy, water, waste, and refrigerants. Findings revealed that schools have the highest per-individual-asset emissions (153.78t), primarily from refrigerants, while churches have the lowest (6.31t), primarily from energy. The ECP intends to repeat the survey annually to track emission reduction targets. The paper also offers a step-by-step guide for other faith actors to adapt the model, recommending the use of asset inventories, internal communications, and coordinator training.

WRI introduces a deep learning model, the Bayesian long short-term memory sequence-to-sequence-to-sequence model, to provide near-real-time forecasts of reservoir water volumes for a 90-day period in India. The pilot project focused on 11 reservoirs supplying thermal coal power generation, achieving a coefficient of determination score of 92% for short-term (1-14 day) forecasts and 56% for long-term (15-90 day) forecasts. The tool is intended to flag drought-like conditions and support the transition to water-prudent power production, though it is not intended for reservoir management operations.

The document presents a methodology for identifying potentially suitable degraded land for sustainable palm oil in Indonesia, specifically applied in West and Central Kalimantan. The approach uses a two-step process: a desktop analysis based on environmental, economic, social, and legal indicators, followed by rapid field assessments. This method is designed to align with RSPO standards, Indonesian law, and national REDD+ strategies. In a pilot application in West Kalimantan under Project POTICO, the method helped identify nine potentially suitable areas. Across West and Central Kalimantan, the initial desktop analysis identified approximately seven million hectares of potentially suitable land.

The document argues that measuring on-farm food loss is a low-cost, resource-efficient process that provides growers with data to improve operational efficiency and identify new markets for edible but unmarketable produce. Based on a 2021 pilot with seven growers in the US, it highlights that food loss is often driven by strict retail specifications, labor costs, and market dynamics. The SISC Food Loss Metric tool allows growers to categorize unharvested crops as marketable, edible but not marketable, or inedible, with the sampling process taking approximately one hour for two people. The report concludes that while growers see the value in this data, systemic change requires buyers and policymakers to create financial incentives and new sales channels for 'ugly' or surplus produce.