{"query_echo":{"q":"","filters":{"analysis_type":["data analysis"]},"warnings":[]},"total":{"value":40,"relation":"eq"},"page":2,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=data+analysis&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":"ember-000354","url":"https://climateinsightsdirectory.org/document/ember-000354","title":"DATA INSIGHTS ON COUNTRIES THAT COULD COMMIT TO NO NEW COAL","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2021-10-07","source_url":"https://ember-energy.org/app/uploads/2024/12/No-New-Coal-Factbook-28-10.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The global pipeline of proposed coal power plants has decreased by 76% since 2015. As of July 2021, 44 economies have formally committed to no new coal, while another 40 are positioned to do so because they have no projects in their pre-construction pipeline. However, 37 economies still consider new coal, with China, India, Viet Nam, Indonesia, Turkey, and Bangladesh accounting for 82% of the remaining global pipeline. The report provides detailed profiles of these economies, highlighting the role of Chinese financing and the impact of local opposition and environmental concerns in halting projects.","ai_generated":true,"unit":"ember-000354#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The global pipeline of proposed coal power plants has decreased by 76% since the Paris Agreement in 2015.","ai_generated":true,"unit":"ember-000354#insight-1","date_modified":"2026-10-23"},{"text":"As of July 2021, 44 economies have formally committed to not starting any new coal construction, primarily through the Powering Past Coal Alliance and the No New Coal Power Compact.","ai_generated":true,"unit":"ember-000354#insight-2","date_modified":"2026-10-23"},{"text":"Forty economies are in a position to readily commit to 'no new coal'; 36 of these have no projects in the development pipeline or under construction, while four (Japan, South Korea, the United Arab Emirates, and Kazakhstan) are constructing plants but have no further pipeline.","ai_generated":true,"unit":"ember-000354#insight-3","date_modified":"2026-10-23"},{"text":"Thirty-seven economies are still considering new coal-fired power stations, representing a 43% decrease from the 65 economies that did so in 2015.","ai_generated":true,"unit":"ember-000354#insight-4","date_modified":"2026-10-23"},{"text":"A small number of economies dominate the remaining global pipeline: China alone holds 55%, while India, Viet Nam, Indonesia, Turkey, and Bangladesh share 27%.","ai_generated":true,"unit":"ember-000354#insight-5","date_modified":"2026-10-23"},{"text":"In Africa, coal development is limited, with only four plants under construction across the continent, located in South Africa and Zimbabwe.","ai_generated":true,"unit":"ember-000354#insight-6","date_modified":"2026-10-23"},{"text":"The Asia-Pacific region contains almost all of the world's coal plants likely to be built, with China having the largest pre-construction pipeline and India the second largest at 21 GW.","ai_generated":true,"unit":"ember-000354#insight-7","date_modified":"2026-10-23"},{"text":"In Europe, new coal is nearly non-existent within the EU, with only Serbia, Bosnia and Herzegovina, and Turkey still having new coal plants in planning outside the EU.","ai_generated":true,"unit":"ember-000354#insight-8","date_modified":"2026-10-23"},{"text":"China's commitment to end overseas coal finance has placed the status of numerous projects in question across various regions, including Djibouti, Ivory Coast, Kenya, Madagascar, Malawi, Mozambique, and Pakistan.","ai_generated":true,"unit":"ember-000354#insight-9","date_modified":"2026-10-23"},{"text":"Several 'pathfinder' economies have recently moved away from coal, including Chile, which cancelled 10 GW of proposed capacity over the last decade, and Egypt, which cancelled a pipeline of over 15.3 GW in 2017.","ai_generated":true,"unit":"ember-000354#insight-10","date_modified":"2026-10-23"}],"climate_tags":["coal-fired power station","energy transition","climate finance","renewable energy","carbon capture and storage","Paris Agreement","2021 United Nations Climate Change Conference"],"geography_discussed":["People's Republic of China","India","Vietnam","Indonesia","Turkey","Bangladesh","Chile","Egypt","South Africa","Zimbabwe","United States"],"frame_perspective":[],"analysis_type":["data analysis","policy assessment"]},{"id":"catf-000421","url":"https://climateinsightsdirectory.org/document/catf-000421","title":"The U.S. oil patch is the Wild West. We need regulation to control the sector’s methane emissions.","publisher":{"name":"Clean Air Task Force","organization":"clean-air-task-force"},"document_type":"statement","language":"en","date_published":"2021-06-14","source_url":"https://www.catf.us/2021/06/the-u-s-oil-patch-is-the-wild-west-we-need-regulation-to-control-the-sectors-methane-emissions/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The U.S. oil and gas sector exhibits extreme variability in methane emissions, with some small producers and specific large companies contributing disproportionately to totals. The author argues that the EPA must implement a regulatory floor mandating best practices to reduce leaks and flaring, noting that existing technology could reduce sector methane emissions by 65% at little to no cost.","ai_generated":true,"unit":"catf-000421#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Methane is a potent super pollutant responsible for approximately 25% of current global warming, and reducing global emissions by 45% by 2040 could prevent nearly 0.3 degrees Celsius of warming and 255,000 deaths.","ai_generated":true,"unit":"catf-000421#insight-1","date_modified":"2026-10-23"},{"text":"There is significant variability in methane emissions among U.S. oil and gas producers; the 195 smallest producers in a CATF and Ceres analysis account for 22% of total reported emissions despite representing only 9% of production.","ai_generated":true,"unit":"catf-000421#insight-2","date_modified":"2026-10-23"},{"text":"Among the top 30 U.S. producers, Hilcorp Energy had the highest reported methane emissions in the country and an emissions intensity nearly six times the national average.","ai_generated":true,"unit":"catf-000421#insight-3","date_modified":"2026-10-23"},{"text":"Specific equipment is primary drivers of emissions, with pneumatic controllers accounting for 54% of reported methane emissions and flaring accounting for 41% of reported carbon dioxide emissions.","ai_generated":true,"unit":"catf-000421#insight-4","date_modified":"2026-10-23"},{"text":"The author asserts that the U.S. oil and gas sector's methane emissions could be reduced by 65% using existing technology at little or no cost to the industry.","ai_generated":true,"unit":"catf-000421#insight-5","date_modified":"2026-10-23"}],"climate_tags":["methane emissions","petroleum industry","environmental regulation","greenhouse gas emissions","gas flaring","climate finance","Environmental Protection Agency"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["policy argument","data analysis"]},{"id":"rmi-000373","url":"https://climateinsightsdirectory.org/document/rmi-000373","title":"Accelerating the Electric Vehicle Transition","publisher":{"name":"RMI","organization":"rmi"},"document_type":"executive summary","language":"en","date_published":"2021-01-06","source_url":"https://rmi.org/resources/accelerating-the-electric-vehicle-transition/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report identifies the electrification of ridehailing services, such as Uber and Lyft, as a key strategy to accelerate the broader electric vehicle transition in the United States. Based on an analysis of 100 million miles of vehicle data, it identifies three primary barriers to implementation: technological capability, financial competitiveness, and charging infrastructure.","ai_generated":true,"unit":"rmi-000373#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Electrifying ridehailing vehicles from transportation network companies (TNCs) like Uber and Lyft can accelerate the broader EV transition by increasing the availability of efficient, low-cost charging infrastructure, reducing operational costs, and improving public awareness.","ai_generated":true,"unit":"rmi-000373#insight-1","date_modified":"2026-10-23"},{"text":"Analysis of 100 million miles of ridehailing data indicates that current electric vehicle technology is generally viable for replacing internal combustion engine vehicles in TNC applications.","ai_generated":true,"unit":"rmi-000373#insight-2","date_modified":"2026-10-23"},{"text":"Scaling the electrification of ridehailing requires addressing three main barriers: technological capability, financial competitiveness (including pricing, charging access, leasing models, and the used EV market), and the development of robust charging infrastructure through stakeholder coordination.","ai_generated":true,"unit":"rmi-000373#insight-3","date_modified":"2026-10-23"}],"climate_tags":["electric vehicle","shared transport","electric vehicle charging network"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy recommendation","data analysis"]},{"id":"climcent-000058","url":"https://climateinsightsdirectory.org/document/climcent-000058","title":"Second Lowest on Record","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2020-09-21","source_url":"https://www.climatecentral.org/climate-matters/2020-arctic-sea-ice-minimum","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The Arctic sea ice reached its 2020 minimum extent of 1.44 million square miles on September 15, marking the second lowest extent in the nearly 42-year satellite record. This loss is driven by factors including a Siberian heat wave and a reinforcing feedback loop where the darker ocean surface absorbs more heat, contributing to the Arctic warming twice as fast as the rest of the planet. The 14 lowest extents in the satellite era have all occurred within the last 14 years, with the record low set in 2012.","ai_generated":true,"unit":"climcent-000058#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"On September 15, Arctic sea ice reached its 2020 minimum extent of 1.44 million square miles, which is the second lowest in the nearly 42-year satellite record from the National Snow and Ice Data Center (NSIDC). This extent represents approximately 46% of the area of the 48 contiguous states.","ai_generated":true,"unit":"climcent-000058#insight-1","date_modified":"2026-10-23"},{"text":"The 2020 minimum extent is approximately 969,000 square miles lower than the 1981-2010 average minimum extent, a difference comparable in size to the combined area of Alaska, Texas, and Montana. The 14 lowest extents recorded in the satellite era have all occurred in the last 14 years, with the absolute record low occurring in 2012.","ai_generated":true,"unit":"climcent-000058#insight-2","date_modified":"2026-10-23"},{"text":"Arctic ice loss is creating a reinforcing heat spiral where the exposure of the darker ocean surface leads to increased heat absorption and further ice loss. This feedback loop, combined with temperatures 14°F to 18°F warmer than average and an early melt season triggered by a Siberian heat wave, contributes to the Arctic warming twice as fast as the rest of the planet.","ai_generated":true,"unit":"climcent-000058#insight-3","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Siberia","United States","Alaska","Texas","Montana"],"frame_perspective":[],"analysis_type":["data analysis"]},{"id":"ember-000304","url":"https://climateinsightsdirectory.org/document/ember-000304","title":"Europe’s Electricity Demand Roars Back, Driving Up Coal Generation","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2020-09-11","source_url":"https://ember-energy.org/app/uploads/2020/03/Europes-Electricity-Demand-Roars-Back-_-Ember-Sept-2020.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that EU electricity demand nearly returned to 2019 levels by August 2020, leading to a surge in coal generation. This trend was exacerbated by record low nuclear output in France, which created a supply gap that wind and solar growth could not fully fill, resulting in coal generation reaching its highest level since March 2020.","ai_generated":true,"unit":"ember-000304#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Electricity demand in the EU-27 recovered significantly by August 2020, falling only 2% below the previous year's level, compared to a 13% drop in April. Specific countries saw demand increases, including Slovakia (up 6%) and the Netherlands (up 4%), while France and Poland were down by 1% and Germany remained down by 3%.","ai_generated":true,"unit":"ember-000304#insight-1","date_modified":"2026-10-23"},{"text":"A shortfall in French nuclear output, which remained 5TWh lower than August 2019, created a supply gap that was filled by fossil generation. Growth in wind and solar during the pandemic was insufficient to offset this nuclear decline.","ai_generated":true,"unit":"ember-000304#insight-2","date_modified":"2026-10-23"},{"text":"EU-27 coal generation rose to 27TWh in August 2020, the highest level since March, and was only 2TWh lower than August 2019. Germany drove this increase, with generation rising from 8TWh in July to 10TWh in August, causing Germany to overtake Poland as the EU's largest coal generator for the first time since February.","ai_generated":true,"unit":"ember-000304#insight-3","date_modified":"2026-10-23"}],"climate_tags":["coal power","electric energy consumption","nuclear power","wind power","solar energy","Coal phase-out"],"geography_discussed":["Slovakia","Netherlands","France","Poland","Germany"],"frame_perspective":[],"analysis_type":["data analysis"]},{"id":"ucs-001170","url":"https://climateinsightsdirectory.org/document/ucs-001170","title":"Farmworkers at Risk","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"report","language":"en","date_published":"2019-12","source_url":"https://www.ucs.org/sites/default/files/2020-01/ucs-farmworkers-at-risk-appendices.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines the methodology and data used to analyze pesticide application rates and heat index exposure for farmworkers in the US. It details the use of USGS and NASS data to identify high-risk pesticides and calculate heat index days, providing specific state-level and county-level data for California, Florida, and Washington.","ai_generated":true,"unit":"ucs-001170#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The analysis identified the top 10 pesticides by weight for California, Florida, and Washington, focusing on labor-intensive crop categories such as \"Vegetables and fruit\" and \"Orchards and grapes\".","ai_generated":true,"unit":"ucs-001170#insight-1","date_modified":"2026-10-23"},{"text":"Several high-use pesticides in the studied states are associated with acute toxicity and long-term health effects, including carcinogenic, reproductive, and developmental toxicants or endocrine disruptors.","ai_generated":true,"unit":"ucs-001170#insight-2","date_modified":"2026-10-23"},{"text":"Specific pesticides used in the three target states carry severe EPA toxicity warnings; for example, Metam Potassium, Chloropicrin, Metam, Calcium Polysulfide, Chlorothalonil, Sulfuric Acid, and Allyl Isothiocyanate are all categorized with the signal word \"DANGER\".","ai_generated":true,"unit":"ucs-001170#insight-3","date_modified":"2026-10-23"},{"text":"Heat index calculations based on 1971-2000 data show significant variation in the number of days above 80°F across states, with Florida (194 days) and Texas (165 days) among the highest, while Maine (21 days) and Vermont (28 days) are among the lowest.","ai_generated":true,"unit":"ucs-001170#insight-4","date_modified":"2026-10-23"},{"text":"In California, the San Joaquin Valley counties of Merced (138 days), San Joaquin (133 days), and Stanislaus (131 days) exhibit high frequencies of days with a heat index above 80°F.","ai_generated":true,"unit":"ucs-001170#insight-5","date_modified":"2026-10-23"},{"text":"The methodology for heat index calculations is noted as a conservative estimate of recent conditions because substantial warming has occurred since the 1971-2000 average period.","ai_generated":true,"unit":"ucs-001170#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extreme heat","pesticide","climate change"],"geography_discussed":["California","Florida","Washington"],"frame_perspective":[],"analysis_type":["methodology","data analysis"]},{"id":"climcent-000035","url":"https://climateinsightsdirectory.org/document/climcent-000035","title":"POLLEN PROBLEMS: Climate Change, the Growing Season, and America\u0019s Allergies","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"report","language":"en","date_published":"2019-03-27","source_url":"https://www.climatecentral.org/report/report-pollen-allergies-climate-change","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate change is extending the freeze-free growing season in the United States, leading to longer periods of pollen exposure for nearly 20 million allergy sufferers. Analysis of 201 cities shows that 83% experienced longer growing seasons since 1970, with the most significant increases in the western U.S. Additionally, rising atmospheric CO2 levels are shown to increase the quantity and allergenicity of pollen from plants like ragweed.","ai_generated":true,"unit":"climcent-000035#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change is extending the freeze-free season, which allows plants more time to grow and produce pollen. Analysis of 201 U.S. cities reveals that 83% have seen their freeze-free seasons lengthen since 1970, with the average city experiencing an increase of just over two weeks.","ai_generated":true,"unit":"climcent-000035#insight-1","date_modified":"2026-10-23"},{"text":"The lengthening of the growing season is most pronounced in the western United States, increasing by approximately 19 days in the Southwest and 16 days in the Northwest relative to early twentieth-century averages. Some cities, such as Bend and Medford in Oregon and Las Cruces in New Mexico, saw increases of at least two months.","ai_generated":true,"unit":"climcent-000035#insight-2","date_modified":"2026-10-23"},{"text":"Rising atmospheric carbon dioxide (CO2) levels directly increase the volume and potency of allergenic pollen. For ragweed, pollen production more than doubled as CO2 concentrations rose from 280 to 370 parts per million between 1900 and 2000. If CO2 reaches 600 parts per million, ragweed pollen could become approximately 1.7 times more allergenic than it was in 2000.","ai_generated":true,"unit":"climcent-000035#insight-3","date_modified":"2026-10-23"},{"text":"The prevalence of allergies and asthma in the U.S. has increased significantly. Hay fever affected about one in ten Americans in 1970, rising to three in ten by 2000. Asthma rates rose from 3.1 percent to 8.4 percent of the population between 1980 and 2010, with higher rates among children, low-income households, and African-Americans.","ai_generated":true,"unit":"climcent-000035#insight-4","date_modified":"2026-10-23"},{"text":"Allergies impose a significant economic and health burden on the United States, costing more than $18 billion annually. In 2015, asthma resulted in 1.7 million emergency room visits, and in 2016, it caused approximately 3,500 deaths.","ai_generated":true,"unit":"climcent-000035#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change","carbon dioxide","greenhouse gas emissions","public health"],"geography_discussed":["El Paso","Minneapolis","Philadelphia","Bend","Medford","Las Cruces","Southwest","Northwest","upper Midwest"],"frame_perspective":[],"analysis_type":["data analysis","literature review"]},{"id":"ciel-000265","url":"https://climateinsightsdirectory.org/document/ciel-000265","title":"AUTHORIZED TO STEAL","publisher":{"name":"Center for International Environmental Law","organization":"center-for-international-environmental-law"},"document_type":"report","language":"en","date_published":"2019","source_url":"https://www.ciel.org/wp-content/uploads/2019/08/Authorized-to-Steal-August-2019-updated.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report details a systemic failure in Peru's forestry sector where official documents, such as Forest Management Plans and Forest Transport Permits, are used to legitimize illegal logging. Analysis of 1,024 permits from 2017 shows that a significant portion of timber is high-risk, particularly from the Loreto and Ucayali regions. The document identifies specific public officials and regents who approved plans for nonexistent trees and argues that weak enforcement of administrative and criminal penalties creates an environment of impunity for organized crime networks.","ai_generated":true,"unit":"ciel-000265#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A significant proportion of official timber transport documentation is linked to high-risk or illegal sources. Of the Forest Transport Permits (GTFs) analyzed that included Forest Management Plans supervised by OSINFOR, 58% were on the \"red list,\" indicating a high risk of illegal timber trade.","ai_generated":true,"unit":"ciel-000265#insight-1","date_modified":"2026-10-23"},{"text":"Illegal logging is heavily concentrated in specific regions and land types. In the analyzed sample, 98% of contracts in local forests, 94% of permits on private lands, and 76% of permits in indigenous communities were on the SIGO red list. Geographically, 75% of timber from Loreto and 26% from Ucayali were red-listed.","ai_generated":true,"unit":"ciel-000265#insight-2","date_modified":"2026-10-23"},{"text":"Public officials and forestry regents systematically facilitate illegal logging by approving Forest Management Plans for trees that do not exist. The report identifies 13 regents who filed plans where over 40% of the trees were nonexistent, and eight professionals who issued reports claiming to have conducted on-site inspections for these same nonexistent trees.","ai_generated":true,"unit":"ciel-000265#insight-3","date_modified":"2026-10-23"},{"text":"There is evidence of organized networks involving the same individuals processing multiple fraudulent contracts. One identified group consisted of forestry regent Hugo Paima Ríos, inspector Carlos Eduardo Shapiama del Castillo, and official Kathia Janeth García Ayachi, who collectively processed four high-risk contracts.","ai_generated":true,"unit":"ciel-000265#insight-4","date_modified":"2026-10-23"},{"text":"Timber exporters appear to be more selective than domestic buyers to avoid scrutiny. While 62% of supervised timber transported to Lima was on the red list, 68% of supervised timber transported to the Port of Callao for export was on the green list.","ai_generated":true,"unit":"ciel-000265#insight-5","date_modified":"2026-10-23"},{"text":"Despite a comprehensive legal framework including the Forestry and Wildlife Law No. 29763 and the Criminal Code, enforcement is weak and slow, providing little deterrent for criminal networks.","ai_generated":true,"unit":"ciel-000265#insight-6","date_modified":"2026-10-23"},{"text":"The genus Virola (known as \"cumalas\") is among the most frequently laundered species. Seven species account for 60% of those declared in GTFs backed by supervised plans, with the Virola genus accounting for 22% of logged species in SIGO reports from 2009-2018.","ai_generated":true,"unit":"ciel-000265#insight-7","date_modified":"2026-10-23"}],"climate_tags":["illegal logging","deforestation","biodiversity loss","forest management","environmental law","climate change"],"geography_discussed":["Callao","United States"],"frame_perspective":[],"analysis_type":["policy analysis","case study","data analysis"]},{"id":"iisd-001190","url":"https://climateinsightsdirectory.org/document/iisd-001190","title":"Cities – The engines for implementing the Sustainable Development Goals","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"briefing","language":"en","date_published":"2017-06","source_url":"https://www.iisd.org/system/files/publications/cities-the-engine-for-Implementing-sdgs.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The briefing argues that cities are critical for implementing the Sustainable Development Goals (SDGs) and presents an IISD tool that uses official Statistics Canada data to monitor SDG indicator trends in 13 major Canadian cities. Because global indicators cannot be directly applied to cities due to data limitations, the initiative identifies 12 specific indicators to track progress from 1995 to 2030. The tool aims to help policy-makers identify performance gaps, assess the feasibility of targets, and facilitate cross-scale coordinated action between municipal, provincial, and federal governments.","ai_generated":true,"unit":"iisd-001190#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Cities are essential for the implementation of SDGs because they can adapt sustainable actions to local needs, though global indicators developed by the IAEG-SDGs and UN Statistical Commission often cannot be used directly at the city level due to data availability and existing indicator lock-in.","ai_generated":true,"unit":"iisd-001190#insight-1","date_modified":"2026-10-23"},{"text":"IISD has developed a tracking tool using Statistics Canada databases to monitor 12 SDG indicators across 13 Canadian cities, including Calgary, Edmonton, Halifax, Moncton, Montreal, Ottawa-Gatineau, Quebec, Regina, Saskatoon, Toronto, Vancouver, Victoria, and Winnipeg.","ai_generated":true,"unit":"iisd-001190#insight-2","date_modified":"2026-10-23"},{"text":"Analysis of data from 1995 onwards demonstrates that progress is not uniform across cities; for example, while tobacco use among young people is generally declining, some cities struggle to maintain this progress, indicating that success can be temporary.","ai_generated":true,"unit":"iisd-001190#insight-3","date_modified":"2026-10-23"},{"text":"The document emphasizes that while SDG targets are set nationally, implementation is shared across different levels of government, requiring coordinated action between cities, provinces, territories, and the federal government.","ai_generated":true,"unit":"iisd-001190#insight-4","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","climate change","poverty reduction","public health","public transport"],"geography_discussed":["Halifax","Moncton","Quebec City","Montreal","National Capital Region","Toronto","Winnipeg","Regina","Saskatoon","Calgary","Edmonton","Vancouver","Victoria"],"frame_perspective":[],"analysis_type":["policy briefing","data analysis"]},{"id":"ciel-000325","url":"https://climateinsightsdirectory.org/document/ciel-000325","title":"“Mejora Continua” de Prácticas Ilegales en el Sector Forestal del Perú","publisher":{"name":"Center for International Environmental Law","organization":"center-for-international-environmental-law"},"document_type":"report","language":"es","date_published":"2017","source_url":"https://www.ciel.org/wp-content/uploads/2017/11/CentroReportV15.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that a significant portion of Peruvian timber exports are high-risk or illegal, despite being accompanied by official Transport Guides (GTF). Analysis of 2015 export data reveals that exporters strategically direct 'green-listed' (low-risk) timber to strictly regulated markets like the US and EU, while sending 'red-listed' (high-risk) timber to markets with weaker regulations, such as China and Mexico. The study highlights a shift toward using Native Community permits and Local Forests to launder illegal wood, noting that 66% of analyzed GTFs were either not supervised or lacked critical traceability data like the harvest year (zafra).","ai_generated":true,"unit":"ciel-000325#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A high percentage of timber exports to countries with weak legality regulations are classified as high-risk. Specifically, 75% of supervised timber exported to Mexico, 71% to China, 67% to Australia, 32% to the Dominican Republic, 28% to the USA, and 9% to France are on the 'red list' of the SIGOSFC.","ai_generated":true,"unit":"ciel-000325#insight-1","date_modified":"2026-10-23"},{"text":"Six exporting companies account for more than 50% of the Transport Guides (GTF) used for global exports. The top six are Maderera Bozovich SAC, Inversiones La Oroza SAC, Peruvian Flooring SAC, Inversiones Técnicas Maderables SAC, Consorcio Maderero SAC, and Maderera Rio Acre SAC.","ai_generated":true,"unit":"ciel-000325#insight-2","date_modified":"2026-10-23"}],"climate_tags":["illegal logging","deforestation","environmental law"],"geography_discussed":["People's Republic of China","United States","Mexico","Dominican Republic","France","Netherlands","Australia","Callao","Loreto Department","Ucayali Province","Madre de Dios Department"],"frame_perspective":[],"analysis_type":["case study","data analysis","policy review"]},{"id":"ciel-000466","url":"https://climateinsightsdirectory.org/document/ciel-000466","title":"“Continuous Improvement” in Illegal Practices in the Peruvian Forest Sector","publisher":{"name":"Center for International Environmental Law","organization":"center-for-international-environmental-law"},"document_type":"report","language":"en","date_published":"2017","source_url":"https://www.ciel.org/wp-content/uploads/2017/11/EnglishVersionFinal.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 855 Visual Inspection Certificates and 2,364 Forest Transport Permits (GTFs) from the Port of Callao in 2015 to trace the supply chain of Peruvian timber. It finds that a significant portion of exports are high-risk or illegal, with exporters strategically directing 'red list' timber to countries with weak import laws, such as China and Mexico, while sending 'green list' timber to the US and EU. The study highlights a shift toward using Forest Permits in Indigenous Communities and Local Forests to circumvent oversight, as these modalities often lack supervision or exhibit high rates of illegality.","ai_generated":true,"unit":"ciel-000466#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A substantial portion of Peruvian timber exports are high-risk or lack verifiable legal status; 66% of the analyzed GTFs were either not supervised by OSINFOR or lacked the harvest period of the Forest Management Plan (FMP), making legal determination impossible.","ai_generated":true,"unit":"ciel-000466#insight-1","date_modified":"2026-10-23"},{"text":"Exporters appear to use the SIGOSFC transparency tool to segment their markets based on the destination country's legality laws, sending high-risk 'red list' timber to countries with fewer restrictions and low-risk 'green list' timber to the US and Europe.","ai_generated":true,"unit":"ciel-000466#insight-2","date_modified":"2026-10-23"},{"text":"China and Mexico are primary destinations for high-risk timber, with 71% and 75% of supervised exports to these countries, respectively, appearing on the 'red list'.","ai_generated":true,"unit":"ciel-000466#insight-3","date_modified":"2026-10-23"},{"text":"There is a documented shift in harvest modalities used for illegal timber; since 2013, there has been a significant increase in the use of GTFs from Local Forests and Forest Permits in Indigenous Communities.","ai_generated":true,"unit":"ciel-000466#insight-4","date_modified":"2026-10-23"},{"text":"Local Forests are particularly prone to fraud, with 96% of supervised FMPs from this modality in the 2015 Callao export data found to have legal violations.","ai_generated":true,"unit":"ciel-000466#insight-5","date_modified":"2026-10-23"},{"text":"Indigenous communities are frequently exploited by third parties who use their forest permits to launder illegal timber, leaving the communities to face fines and sanctions.","ai_generated":true,"unit":"ciel-000466#insight-6","date_modified":"2026-10-23"},{"text":"Six companies accounted for over 50% of the GTFs analyzed, with Maderera Bozovich SAC being the largest exporter at 17.55%.","ai_generated":true,"unit":"ciel-000466#insight-7","date_modified":"2026-10-23"},{"text":"The report identifies specific 'continuous improvement' tactics used by companies to evade transparency, including using documentation from areas not subject to OSINFOR oversight and omitting the 'zafra' (harvest season) from GTFs.","ai_generated":true,"unit":"ciel-000466#insight-8","date_modified":"2026-10-23"}],"climate_tags":["illegal logging","deforestation","indigenous rights"],"geography_discussed":["Callao","People's Republic of China","United States","Mexico","Dominican Republic","France","Netherlands","Australia","Loreto Department","Ucayali Department","Madre de Dios Department","San Martin Department","Amazonas Department"],"frame_perspective":[],"analysis_type":["case study","data analysis","policy review"]},{"id":"catf-000265","url":"https://climateinsightsdirectory.org/document/catf-000265","title":"Industry Flaring in Focus: A Close Look at Natural Gas Flaring in North Dakota","publisher":{"name":"Clean Air Task Force","organization":"clean-air-task-force"},"document_type":"fact sheet","language":"en","date_published":"2014-06-26","source_url":"https://www.catf.us/2014/06/flaring-in-focus-a-close-look-at-natural-gas-flaring-in-north-dakota/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document analyzes natural gas flaring in the Bakken formation of North Dakota, noting that in 2013, 32% of all produced gas was flared. It disputes the claim that slow federal permitting for pipelines is the primary driver of flaring, providing data that 72% of 2013 flaring occurred on private or state-owned land and 57% of statewide flaring came from wells already connected to gathering pipelines. The author argues that flaring is instead caused by insufficient infrastructure capacity, lack of front-end planning, and investment gaps, and opposes HR 4293, which would allow the Secretary of Interior to bypass the National Environmental Policy Act (NEPA) process for pipeline and compressor station permits on federal lands.","ai_generated":true,"unit":"catf-000265#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2013, the oil and gas industry flared 32% of all gas produced in the Bakken formation.","ai_generated":true,"unit":"catf-000265#insight-1","date_modified":"2026-10-23"},{"text":"Data indicates that the majority of flaring in 2013 (72%) took place at wells on state-owned or private land, and the flaring rate on Federal public lands is not higher than on private or state land.","ai_generated":true,"unit":"catf-000265#insight-2","date_modified":"2026-10-23"},{"text":"A significant portion of flaring occurs despite existing infrastructure, with 57% of statewide flaring originating from wells already connected to natural gas gathering pipelines.","ai_generated":true,"unit":"catf-000265#insight-3","date_modified":"2026-10-23"},{"text":"The document attributes high flaring levels from connected wells to insufficient gathering and processing infrastructure, such as undersized pipelines or inadequate compression, as well as failures in commercial agreements between production and midstream companies.","ai_generated":true,"unit":"catf-000265#insight-4","date_modified":"2026-10-23"},{"text":"The author opposes HR 4293 (The Natural Gas Gathering Enhancement Act), which proposes creating categorical exclusions and bypassing the National Environmental Policy Act (NEPA) process for permitting on federal lands, arguing that such measures do not address the root causes of flaring.","ai_generated":true,"unit":"catf-000265#insight-5","date_modified":"2026-10-23"}],"climate_tags":["methane","greenhouse gas emissions","carbon dioxide","particulates"],"geography_discussed":["Fort Berthold Reservation","California"],"frame_perspective":[],"analysis_type":["policy analysis","data analysis"]},{"id":"ucs-001119","url":"https://climateinsightsdirectory.org/document/ucs-001119","title":"Tricks of the Trade","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"research paper","language":"en","date_published":"2014-01","source_url":"https://www.ucs.org/sites/default/files/2019-09/tricks-of-the-trade-methodology.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Union of Concerned Scientists (UCS) analyzed responses from 1,824 companies to a 2013 CDP climate-reporting questionnaire to determine if companies disclosed their board seats in four influential U.S. trade associations: the National Association of Manufacturers (NAM), the U.S. Chamber of Commerce (COC), the American Petroleum Institute (API), and the Edison Electric Institute (EEI). The analysis found low rates of disclosure across these groups, with many companies failing to acknowledge their board positions even when publicly responding to the questionnaire.","ai_generated":true,"unit":"ucs-001119#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"For the National Association of Manufacturers (NAM), only one in five of the 73 board-member companies that responded publicly to the CDP questionnaire acknowledged their board seat. Additionally, 31 board companies did not respond to the request, and eight responded privately.","ai_generated":true,"unit":"ucs-001119#insight-1","date_modified":"2026-10-23"},{"text":"Disclosure for the U.S. Chamber of Commerce (COC) was extremely low; only one company, UPS, acknowledged its board seat out of 32 board-member companies that responded publicly to the questionnaire.","ai_generated":true,"unit":"ucs-001119#insight-2","date_modified":"2026-10-23"},{"text":"Regarding the American Petroleum Institute (API), fewer than half of the companies that responded publicly to the CDP questionnaire acknowledged their board seats, with eight out of 17 public respondents doing so.","ai_generated":true,"unit":"ucs-001119#insight-3","date_modified":"2026-10-23"},{"text":"For the Edison Electric Institute (EEI), more than half of the 54 board companies asked to complete the questionnaire did not respond; of the 26 that did respond publicly, only 15 acknowledged their board memberships.","ai_generated":true,"unit":"ucs-001119#insight-4","date_modified":"2026-10-23"},{"text":"The UCS established strict criteria for what constitutes 'disclosure,' ruling that leaving a question field blank or providing information via external links, annual reports, or other non-direct means did not count as disclosure.","ai_generated":true,"unit":"ucs-001119#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate policy"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["methodology","data analysis"]},{"id":"rmi-000886","url":"https://climateinsightsdirectory.org/document/rmi-000886","title":"California Dreaming","publisher":{"name":"RMI","organization":"rmi"},"document_type":"statement","language":"en","date_published":"2001-05-15","source_url":"https://rmi.org/app/uploads/2017/05/RMI_Document_Repository_Public-Reprts_E01-17_CalifDreaming.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Amory Lovins argues that the California electricity crisis was caused by botched restructuring and concentrated market power rather than a shortage of generating capacity or soaring demand from the Internet. He provides data from the California Energy Commission to show that per-capita electricity use remained flat for twenty-five years and that peak loads in 2000 did not show a general upward trend. Lovins asserts that the crisis was exacerbated by dominant suppliers strategically withholding power to maintain high prices, and he defends his advocacy for energy efficiency and decentralized renewables as successful policies that would have forestalled the disaster had they not been abandoned in the mid-1990s.","ai_generated":true,"unit":"rmi-000886#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The growth of the Internet has not caused electricity demand to soar; the Internet's electricity use is described as a \"tiny use of electricity\" and an \"irrefutable, carefully measured fact.\"","ai_generated":true,"unit":"rmi-000886#insight-1","date_modified":"2026-10-23"},{"text":"California's per-capita electricity use remained approximately flat for 25 years, with data from the California Energy Commission showing an increase of at most 0.3% from 1990 to 2000.","ai_generated":true,"unit":"rmi-000886#insight-2","date_modified":"2026-10-23"},{"text":"The California electricity crisis was not caused by a lack of generating capacity, as the state experienced rolling blackouts at 29 GW in winter 2000/01 despite having met a peak load of 53 GW in summer 1999.","ai_generated":true,"unit":"rmi-000886#insight-3","date_modified":"2026-10-23"},{"text":"The crisis was driven by \"Botched restructuring, concentrated market power, and strategic bidding,\" where seven firms held two-thirds of the competitive bidding space and found it more profitable to withhold electricity to keep prices high.","ai_generated":true,"unit":"rmi-000886#insight-4","date_modified":"2026-10-23"},{"text":"Energy efficiency, cogeneration, and nonhydro renewables added over 15 GW of resources by the early 1990s and increased California's electrical productivity since 1997 nearly four times faster than the rest of the United States.","ai_generated":true,"unit":"rmi-000886#insight-5","date_modified":"2026-10-23"}],"climate_tags":["energy efficiency","electric energy consumption","biofuel"],"geography_discussed":["World","United States","Silicon Valley"],"frame_perspective":[],"analysis_type":["critique","data analysis"]},{"id":"cer-000374","url":"https://climateinsightsdirectory.org/document/cer-000374","title":"ANNEXURE 6 Table 1: Summary of current annual pollutant emission rates, estimated annual average stack concentrations and Eskom’s requested emission limits","publisher":{"name":"Centre for Environmental Rights","organization":"centre-for-environmental-rights"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://cer.org.za/wp-content/uploads/2014/02/Annexure-6_Summary-of-current-annual-pollutant-emission-rates-estimated-annual-average-stack-concentrations-and-Eskom’s-requested-emission-limits.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"This fact sheet provides a detailed table and analysis of current pollutant emission rates (SO2, NOx, and PM10), estimated stack concentrations, and the emission limits requested by Eskom for 13 power stations. The document highlights inconsistencies in Eskom's reported data and argues that Eskom is effectively seeking exemptions from future Minimum Emission Standards (MES).","ai_generated":true,"unit":"cer-000374#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"Eskom is effectively seeking an exemption from the 2020 Minimum Emission Standard (MES) for SO2, which is 500mg/Nm3, for all 13 of its existing power stations because it has stated it will not retrofit Flue Gas Desulphurization (FGD) on any existing plants, planning it only for Medupi.","ai_generated":true,"unit":"cer-000374#insight-1","date_modified":"2026-08-17"},{"text":"The document identifies significant inconsistencies in Eskom's reported data, noting that 'current' annual total emission rates differ across different documents (AIRs and GI documents) and that calculated stack volumetric flow rates differ substantially from the values provided by Eskom.","ai_generated":true,"unit":"cer-000374#insight-2","date_modified":"2026-08-17"},{"text":"Eskom's requested NOx emission limits are aligned with a specific program to retrofit 'Low NOx' burners, but this program only applies to the Matla, Tutuka, and Majuba plants between 2021 and 2025.","ai_generated":true,"unit":"cer-000374#insight-3","date_modified":"2026-08-17"},{"text":"The document provides specific current annual emission rates for various plants; for example, Matimba has the highest SO2 emission rate at 309,262 t/yr, while Kriel has the highest NOx emission rate at 101,628 t/yr and the highest PM10 emission rate at 16,638 t/yr.","ai_generated":true,"unit":"cer-000374#insight-4","date_modified":"2026-08-17"}],"climate_tags":["energy transition","air pollution","emission standards","power plants"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["data analysis","policy critique"]},{"id":"chanmar-000255","url":"https://climateinsightsdirectory.org/document/chanmar-000255","title":"ACRYLAMIDE LEVELS IN FOOD: PASSING THE HOT POTATO","publisher":{"name":"Changing Markets Foundation","organization":"changing-markets-foundation"},"document_type":"report","language":"en","date_published":null,"source_url":"https://changingmarkets.org/wp-content/uploads/2023/10/PASSING-THE-HOT-POTATO.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes EFSA data from 2007-2014, finding that acrylamide levels in many European foods remain unchanged or are increasing despite voluntary industry 'toolboxes'. It highlights significant benchmark exceedances in baby foods and specific products in Belgium and Denmark, concluding that the European Commission's proposal to mandate codes of practice without setting enforceable legal limits is insufficient to protect consumers.","ai_generated":true,"unit":"chanmar-000255#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Analysis of food groups shows no substantial overall trend toward lower acrylamide levels. While potato crisps, snacks, crisp bread, biscuits, and crackers showed a slight downward trend, levels in roasted coffee, gingerbread, and French fries remained unchanged or increased.","ai_generated":true,"unit":"chanmar-000255#insight-1","date_modified":"2026-10-23"},{"text":"Approximately 12% of the analyzed food products (2,200 samples) exceeded the European Commission's indicative benchmark levels, with similar percentages found in products produced both inside and outside the European Economic Area.","ai_generated":true,"unit":"chanmar-000255#insight-2","date_modified":"2026-10-23"},{"text":"Extreme concentrations of acrylamide were detected in specific samples: instant coffee in Belgium reached 38,000 μg/Kg (42 times the benchmark) and French fries in Denmark reached 7,900 μg/Kg (13 times the benchmark).","ai_generated":true,"unit":"chanmar-000255#insight-3","date_modified":"2026-10-23"},{"text":"Baby foods and processed cereal products for infants showed severe contamination, with some samples in Germany, the UK, and the Czech Republic exceeding benchmarks by 10 to 30 times. In 2014, 28% of processed cereal foods for infants and 12% of baby foods exceeded the EC benchmark.","ai_generated":true,"unit":"chanmar-000255#insight-4","date_modified":"2026-10-23"},{"text":"The highest percentages of samples exceeding EC benchmarks were recorded in Greece (75%), followed by Estonia and Sweden (20%), Belgium and Ireland (18%), Italy (17%), Norway (16%), Austria (15%), and Spain and Finland (14%).","ai_generated":true,"unit":"chanmar-000255#insight-5","date_modified":"2026-10-23"},{"text":"The report argues that the European Commission's current legislative proposal is inadequate because it mandates the application of industry codes of practice but fails to set enforceable, legally binding maximum limits for acrylamide.","ai_generated":true,"unit":"chanmar-000255#insight-6","date_modified":"2026-10-23"}],"climate_tags":["public health"],"geography_discussed":["Belgium","Denmark","Germany","United Kingdom","Czech Republic","Greece","Estonia","Sweden","Ireland","Italy","Norway","Austria","Spain","Finland"],"frame_perspective":[],"analysis_type":["data analysis","policy assessment"]},{"id":"glowit-000003","url":"https://climateinsightsdirectory.org/document/glowit-000003","title":"The Companies We Keep","publisher":{"name":"Global Witness","organization":"global-witness"},"document_type":"executive summary","language":"en","date_published":null,"source_url":"https://globalwitness.org/en/campaigns/corruption-and-money-laundering/the-companies-we-keep/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report evaluates the UK's open register of beneficial owners, finding that while 87% of companies comply, significant loopholes allow thousands to hide real ownership through 'no PSC' statements, ineligible foreign corporate entities, and circular ownership structures. It argues that Companies House lacks the resources and mandate to verify data or sanction non-compliance, and recommends the adoption of unique identifiers and automated red-flagging systems to detect financial crime.","ai_generated":true,"unit":"glowit-000003#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The majority of UK companies comply with beneficial ownership reporting, with 87%—approximately 3.6 million companies—filing at least one beneficial owner as of March 1, 2018.","ai_generated":true,"unit":"glowit-000003#insight-1","date_modified":"2026-10-23"},{"text":"Significant loopholes exist for suppressing ownership information, including over 335,000 companies declaring they have no beneficial owner and over 10,000 companies listing ineligible foreign companies as beneficial owners.","ai_generated":true,"unit":"glowit-000003#insight-2","date_modified":"2026-10-23"},{"text":"The analysis identified 328 companies involved in circular ownership structures, where companies appear to control themselves, which is prohibited under UK corporate law.","ai_generated":true,"unit":"glowit-000003#insight-3","date_modified":"2026-10-23"},{"text":"There is evidence of 'nominee' beneficial owners, with over 9,000 companies controlled by individuals who each control more than 100 companies; one individual, Michael Gleissner, controls over 1,000 companies.","ai_generated":true,"unit":"glowit-000003#insight-4","date_modified":"2026-10-23"},{"text":"Scottish Limited Partnerships (SLPs) show high rates of non-compliance, with 35% stating they have not completed the steps to find their PSCs, compared to less than 1% for the general register.","ai_generated":true,"unit":"glowit-000003#insight-5","date_modified":"2026-10-23"},{"text":"Companies House lacks a systematic verification process for self-reported data and has limited resources for policing, with only 20 staff dedicated to PSC compliance for 4 million companies as of January 2018.","ai_generated":true,"unit":"glowit-000003#insight-6","date_modified":"2026-10-23"},{"text":"The report identifies a lack of effective sanctions, noting that as of the publication date, no fines had been issued for PSC filings, despite the potential for criminal offences.","ai_generated":true,"unit":"glowit-000003#insight-7","date_modified":"2026-10-23"},{"text":"The use of open data has significantly increased access to company information, with searches growing from 6 million requests per year in 2014-2015 to over 2 billion searches annually after paywalls were removed.","ai_generated":true,"unit":"glowit-000003#insight-8","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Ukraine","British Virgin Islands","United Arab Emirates"],"frame_perspective":[],"analysis_type":["data analysis","policy assessment"]},{"id":"glowit-000118","url":"https://climateinsightsdirectory.org/document/glowit-000118","title":"Jaguars vs cows: The biodiversity crisis under JBS’s shadow","publisher":{"name":"Global Witness","organization":"global-witness"},"document_type":"report","language":"en","date_published":null,"source_url":"https://globalwitness.org/en/campaigns/forests/jaguars-vs-cows-the-biodiversity-crisis-under-jbs-shadow/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Global Witness reports that industrial agriculture is accelerating biodiversity loss in Brazil, with over 27 million hectares of jaguar habitat converted to agricultural land in Mato Grosso and Pará as of 2023. The investigation highlights JBS's role, finding that 75% of identified farms in JBS's supply chain overlapping jaguar territory in these states violated environmental laws between 2018 and 2023. The report specifically identifies the Canoeiro farm as having cleared over 1,200 hectares of protected jaguar territory between 2013 and 2023, using 'cattle laundering' to enter JBS's supply chain. Global Witness argues that stronger supply chain and finance regulations are necessary to prevent the extinction of keystone species and meet global climate goals by 2030.","ai_generated":true,"unit":"glowit-000118#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"As of 2023, more than 27 million hectares of jaguar habitat in the Brazilian states of Mato Grosso and Pará have been converted into agricultural land, an area larger than the UK.","ai_generated":true,"unit":"glowit-000118#insight-1","date_modified":"2026-10-23"},{"text":"Between 2014 and 2023, Global Witness detected over 5 million hectares of forest loss in jaguar territory across Mato Grosso and Pará, with 89% of this loss occurring without required legal permits.","ai_generated":true,"unit":"glowit-000118#insight-2","date_modified":"2026-10-23"},{"text":"An analysis of JBS's supply chain in Pará and Mato Grosso between 2018 and 2023 found that 75% of farms overlapping jaguar territory had less forest remaining than required by Brazilian law.","ai_generated":true,"unit":"glowit-000118#insight-3","date_modified":"2026-10-23"},{"text":"The Canoeiro farm in Cocalinho, Mato Grosso, cleared more than 1,200 hectares of protected jaguar territory in the APA Meandros do Araguaia reserve between 2013 and 2023, with cattle from this ranch entering JBS slaughterhouses via other farms through 'cattle laundering'.","ai_generated":true,"unit":"glowit-000118#insight-4","date_modified":"2026-10-23"},{"text":"JBS's net-zero goal for 2040 was described by its global chief sustainability officer in early 2025 as an 'aspiration' rather than a promise.","ai_generated":true,"unit":"glowit-000118#insight-5","date_modified":"2026-10-23"}],"climate_tags":["biodiversity loss","deforestation","Net-zero emissions","climate finance"],"geography_discussed":["Pará","Mato Grosso","Goiás","Q43695","United Kingdom","European Union","United States","People's Republic of China"],"frame_perspective":[],"analysis_type":["investigation","data analysis"]},{"id":"sei-001567","url":"https://climateinsightsdirectory.org/document/sei-001567","title":"samhe_full_year_report_23_24-f7436456cdd332c1.pdf","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://samhe.org.uk/resources/SAMHE_Full_Year_Report_23_24.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"This report presents findings from the Schools’ Air quality Monitoring for Health and Education (SAMHE) initiative for the 2023/2024 academic year. Based on data from hundreds of UK schools, the report examines the relationship between outdoor temperatures and indoor air quality, specifically focusing on carbon dioxide (CO2), relative humidity, and particulate matter (PM2.5).","ai_generated":true,"unit":"sei-001567#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The SAMHE initiative has deployed air quality monitors to over 1,300 schools; as of July 2024, it receives data from approximately 750 monitors located in about 430 schools.","ai_generated":true,"unit":"sei-001567#insight-1","date_modified":"2026-08-17"},{"text":"Indoor temperatures in classrooms remained relatively consistent throughout the academic year, likely due to heating during colder months, though an upward trajectory was noted when outdoor temperatures exceeded 23°C.","ai_generated":true,"unit":"sei-001567#insight-2","date_modified":"2026-08-17"},{"text":"Carbon dioxide (CO2) concentrations in classrooms were lower during warmer weather and increased during cooler winter months, suggesting that the desire to keep classrooms warm during cold weather acts as a barrier to adequate ventilation.","ai_generated":true,"unit":"sei-001567#insight-3","date_modified":"2026-08-17"},{"text":"During colder periods, some classrooms exceeded the Department for Education's BB101 guideline value of 1,500 ppm for daily average CO2 concentrations.","ai_generated":true,"unit":"sei-001567#insight-4","date_modified":"2026-08-17"},{"text":"Classroom relative humidity levels appear to be primarily influenced by outdoor weather conditions rather than the breathing of occupants.","ai_generated":true,"unit":"sei-001567#insight-5","date_modified":"2026-08-17"},{"text":"Daily mean PM2.5 concentrations generally remained between 2-6 µg/m3, which is below the World Health Organization's recommended maximum daily mean value of 15 µg/m3.","ai_generated":true,"unit":"sei-001567#insight-6","date_modified":"2026-08-17"},{"text":"Indoor PM2.5 levels are influenced by both internal school activities and regional or national concentrations, as evidenced by indoor spikes that largely follow the trends of the Government’s national monitoring network (AURN).","ai_generated":true,"unit":"sei-001567#insight-7","date_modified":"2026-08-17"}],"climate_tags":["indoor air quality","ventilation","pm2.5","carbon dioxide","school infrastructure","thermal comfort"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["Data Analysis","Monitoring"]},{"id":"wri-000105","url":"https://climateinsightsdirectory.org/document/wri-000105","title":"Charting the Midwest","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.wri.org/research/charting-midwest","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes greenhouse gas (GHG) emissions for Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin. Utilizing the World Resources Institute's Climate Analysis Indicators Tool (CAIT-US), it examines all six Kyoto GHGs across the regional economy to overcome inconsistencies in previous state-level inventories. The analysis covers regional, sectoral, and state levels, assessing major emission sources, trends, and socioeconomic drivers to inform stakeholders on the Midwest's role in global climate change.","ai_generated":true,"unit":"wri-000105#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The study is the first to analyze all six Kyoto greenhouse gases across the entire Midwest economy using a consistent and comparable data framework, addressing the challenge where previous state-level inventories used differing methodologies and data sources.","ai_generated":true,"unit":"wri-000105#insight-1","date_modified":"2026-10-23"},{"text":"The report's data is sourced exclusively from the CAIT-US module, with emission estimates for sectors based on fuel consumption, such as transportation and electric generation, generally being more certain than those for agriculture and forestry.","ai_generated":true,"unit":"wri-000105#insight-2","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","greenhouse gas inventory","electricity generation","transportation","agriculture","forestry"],"geography_discussed":["United States"],"frame_perspective":[],"analysis_type":["quantitative analysis","data analysis"]}]}