{"query_echo":{"q":"","filters":{"geography":["Paraguay"]},"warnings":[]},"total":{"value":532,"relation":"eq"},"page":27,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Paraguay&page=27","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-001455","url":"https://climateinsightsdirectory.org/document/wri-001455","title":"WRI Results Framework","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://files.wri.org/d8/s3fs-public/2025-06/wri-2023-27-institutional-results-framework.pdf?_gl=1*1bhdiwr*_gcl_au*MTEwMDE3MjU4NC4xNzQ3MzM5MDc1","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The WRI Results Framework establishes a structured system to plan and evaluate programmatic progress across three primary human systems: food, land & water; energy; and cities. It sets specific global targets for 2030 and WRI intervention targets for 2027, focusing on outcomes such as reducing agricultural land demand by 100 Mha, increasing the share of zero-carbon electricity by 9% in target geographies, and improving urban climate resilience. The framework integrates Sustainable Development Goals (SDGs) and utilizes a tiered approach of global, intervention, and country-specific targets, supported by impact indicators for people, nature, and climate.","ai_generated":true,"unit":"wri-001455#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"WRI has established global targets for 2030 to transform food, land, and water systems, including reducing the demand for agricultural land by 100 Mha, increasing food and fiber supply by 20%, and lowering agricultural production greenhouse gas (GHG) emissions by 20%.","ai_generated":true,"unit":"wri-001455#insight-1","date_modified":"2026-10-23"},{"text":"By 2027, WRI aims to achieve specific intervention targets for nature and food systems, such as getting 33 Mha of degraded areas into restoration and reducing the rate of natural ecosystem conversion in selected biomes by at least 60%.","ai_generated":true,"unit":"wri-001455#insight-2","date_modified":"2026-10-23"},{"text":"In the energy sector, WRI's 2027 intervention targets include a 9% increase in the share of electricity generated from zero-carbon sources in target geographies and providing new access to reliable, affordable, clean energy for 2 million underserved people.","ai_generated":true,"unit":"wri-001455#insight-3","date_modified":"2026-10-23"},{"text":"WRI's urban targets for 2027 focus on livability and mobility, aiming for a >5% point increase in residents' access to open public spaces and a >4% point increase in convenient access to public transport in priority cities.","ai_generated":true,"unit":"wri-001455#insight-4","date_modified":"2026-10-23"},{"text":"The framework identifies specific country-level targets for 2027, such as restoring 15 Mha in Africa, 6.0 Mha in Brazil, and 5.0 Mha in India, as well as achieving a 25% average increase in zero-carbon electricity across five states in India.","ai_generated":true,"unit":"wri-001455#insight-5","date_modified":"2026-10-23"},{"text":"WRI focuses on shifting three 'enabling systems'—economics, finance, and governance—which are described as cross-cutting systems that can either help or hinder transitions in human systems and countries.","ai_generated":true,"unit":"wri-001455#insight-6","date_modified":"2026-10-23"}],"climate_tags":["food system","land use","water management","renewable energy","energy access","green infrastructure","ecological restoration","greenhouse gas emissions","biodiversity","sustainable agriculture","bioenergy","climate finance","governance"],"geography_discussed":["Africa","Brazil","People's Republic of China","India","Indonesia","Mexico","United States","Colombia","Bolivia","Peru","Cameroon","Democratic Republic of the Congo","Republic of the Congo","Paraguay","Argentina","Australia","Canada","Chile","Fiji","France","Ghana","Jamaica","Japan","Kenya","Namibia","Norway","Palau","Portugal","Seychelles","United Kingdom","Ethiopia","Uganda","Tanzania","Rwanda","Turkey","Bangladesh","Vietnam","South Africa"],"frame_perspective":[],"analysis_type":["results framework","strategic planning"]},{"id":"wri-001753","url":"https://climateinsightsdirectory.org/document/wri-001753","title":"Implications for the Private Sector of Non-Carbon Effects of Tropical Deforestation","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"executive summary","language":"en","date_published":null,"source_url":"https://files.wri.org/d8/s3fs-public/2023-03/implications-private-sector-non-carbon-effects-tropical-deforestation.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document highlights that tropical deforestation contributes 50% more to global warming than carbon emissions alone suggest due to biophysical processes like albedo, evapotranspiration, surface roughness, and aerosols. These non-carbon effects cause immediate local and regional climate disruptions, such as increased temperature extremes and erratic rainfall, which directly threaten crop yields and worker productivity. For example, deforestation in Brazil is linked to a 12% loss in soy productivity, and Amazonian deforestation is plausibly linked to a 2017 drought in Argentina costing the economy approximately $4.6 billion. The authors argue that while many companies have made deforestation-free commitments to manage reputational risks, they often overlook these material operational risks. To mitigate these, the report recommends that companies and investors increase coordination through coalitions, leverage nature-related financial disclosures, and engage in jurisdictional-scale conservation efforts that extend beyond their own direct supply chains.","ai_generated":true,"unit":"wri-001753#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Tropical deforestation has a greater impact on global warming than carbon emissions alone indicate, contributing 50 percent more to the phenomenon when biophysical effects are included.","ai_generated":true,"unit":"wri-001753#insight-1","date_modified":"2026-10-23"},{"text":"Forests influence climate stability through four primary non-carbon biophysical processes: albedo (solar energy reflection), evapotranspiration (moisture release for cooling), surface roughness (wind turbulence that lifts heat), and the release of aerosols.","ai_generated":true,"unit":"wri-001753#insight-2","date_modified":"2026-10-23"},{"text":"Deforestation creates immediate material risks to agricultural productivity through local temperature increases and regional rainfall disruption. In Brazil, temperature extremes from nearby deforestation caused a 12 percent drop in soy yields, costing US$99 per hectare annually. In Argentina, a 2017 drought linked to Amazon deforestation resulted in crop losses exceeding $1.5 billion and a total economic impact of about $4.6 billion.","ai_generated":true,"unit":"wri-001753#insight-3","date_modified":"2026-10-23"},{"text":"Deforestation-induced heat stress reduces labor productivity and increases health risks for rural workers. In the Brazilian state of Pará, the number of summer daylight hours available for outdoor work without heat stress has decreased by more than one hour per day.","ai_generated":true,"unit":"wri-001753#insight-4","date_modified":"2026-10-23"},{"text":"Despite high-profile commitments to eliminate commodity-driven deforestation, implementation remains inconsistent; one-third of the companies with the highest exposure to tropical deforestation have made no such commitments.","ai_generated":true,"unit":"wri-001753#insight-5","date_modified":"2026-10-23"},{"text":"Financial institutions continue to hold significant exposure to forest-risk commodities, with $40 billion in bonds and shares, which is more than three times the amount covered by the Global Forest Finance Pledge at COP26.","ai_generated":true,"unit":"wri-001753#insight-6","date_modified":"2026-10-23"}],"climate_tags":["aerosol","agricultural productivity","climate finance","climate change adaptation"],"geography_discussed":["Brazil","Argentina","Bolivia","Uruguay","Paraguay","Pará","Indonesia","European Union"],"frame_perspective":[],"analysis_type":["risk assessment","policy recommendation"]},{"id":"wri-001842","url":"https://climateinsightsdirectory.org/document/wri-001842","title":"Cómo pueden actuar las partes de la CMNUCC sobre los efectos climáticos no relacionados con el carbono de los bosques","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"briefing","language":"es","date_published":null,"source_url":"https://files.wri.org/d8/s3fs-public/2024-02/unfccc-parties-forests-non-carbon-climate-effects-spanish.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document explains that forests influence climate stability through four non-carbon biophysical processes: albedo, evapotranspiration, surface roughness, and aerosols. It highlights that tropical deforestation contributes 50% more to global warming than carbon accounting alone suggests and can increase local peak temperatures by over 7.6°C. The authors propose six specific actions for UNFCCC parties to integrate these effects into national GHG inventories, Nationally Determined Contributions (NDCs), REDD+ financing, adaptation planning, the Global Stocktake, and the IPCC's Seventh Assessment Report.","ai_generated":true,"unit":"wri-001842#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Forests affect climate stability through four primary non-carbon biophysical processes: albedo (solar energy reflection), evapotranspiration (moisture release that cools the surface), surface roughness (wind turbulence that lifts heat and moisture), and the release of aerosols and chemical compounds that interact with the atmosphere.","ai_generated":true,"unit":"wri-001842#insight-1","date_modified":"2026-10-23"},{"text":"The impact of deforestation varies by scale: globally, tropical deforestation increases warming by 50% more than carbon-only metrics indicate; regionally, it can reduce downstream precipitation across national borders; and locally, it can raise the hottest part of the day by more than 7.6°C.","ai_generated":true,"unit":"wri-001842#insight-2","date_modified":"2026-10-23"}],"climate_tags":["aerosol","deforestation","climate change mitigation","climate change adaptation","United Nations Framework Convention on Climate Change","Paris Agreement","Reducing emissions from deforestation and forest degradation","Nationally Determined Contributions","greenhouse gas inventory","Global stocktake","climate finance","food security","water security"],"geography_discussed":["Brazil","Bolivia","Uruguay","Paraguay","Argentina"],"frame_perspective":[],"analysis_type":["policy recommendation","scientific summary"]},{"id":"wwatt-000127","url":"https://climateinsightsdirectory.org/document/wwatt-000127","title":"Climate change made record breaking early season heat in Argentina and Paraguay about 60 times more likely","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.worldweatherattribution.org/wp-content/uploads/WWA-Argentina-Scientific-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study concludes that anthropogenic climate change made the record-breaking early season heat in northern Argentina and Paraguay approximately 60 times more likely. The analysis focused on the 7-day average of daily maximum temperatures, finding that the 2022 event was an exceptional occurrence that would have been unlikely without human-induced warming. The report also highlights the region's high vulnerability due to urban heat island effects, informal settlements lacking electricity, and the timing of the heatwave before populations had acclimated to summer temperatures.","ai_generated":true,"unit":"wwatt-000127#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Human-induced climate change increased the likelihood of the record-breaking early season heat in northern Argentina and Paraguay by a factor of approximately 60, with a synthesised probability ratio of 60 (35-120).","ai_generated":true,"unit":"wwatt-000127#insight-1","date_modified":"2026-10-23"},{"text":"The intensity of the heat event attributable to human-induced climate change is estimated at 1.4°C, with a range of 0.8 to 3.4°C.","ai_generated":true,"unit":"wwatt-000127#insight-2","date_modified":"2026-10-23"},{"text":"The 2022 heatwave was characterized by extreme temperatures, including a recording of 46°C at the Rivadavia station near the border of Bolivia and Paraguay on December 7, making it one of the hottest locations globally that day.","ai_generated":true,"unit":"wwatt-000127#insight-3","date_modified":"2026-10-23"},{"text":"The heatwave caused significant infrastructure failure in Buenos Aires, where energy shortcuts affected over 500,000 people due to high demand, illustrating that the metropolitan electricity system is nearly seven times more likely to fail during heat events than cold events.","ai_generated":true,"unit":"wwatt-000127#insight-4","date_modified":"2026-10-23"},{"text":"Vulnerability to heat is exacerbated in Argentina and Paraguay by high rates of urban informality; in Argentina, 1 in 6 people live in informal settlements, and nearly 70% of homes in these neighborhoods lack formal electricity needed for cooling.","ai_generated":true,"unit":"wwatt-000127#insight-5","date_modified":"2026-10-23"},{"text":"The timing of the event was particularly dangerous as it occurred before the austral summer, meaning populations were likely not yet acclimated to high temperatures.","ai_generated":true,"unit":"wwatt-000127#insight-6","date_modified":"2026-10-23"}],"climate_tags":["heat wave","anthropogenic climate change","urban heat island","climate change adaptation","early warning system","energy transition","informal housing","drought","wildfire"],"geography_discussed":["Bolivia","Chile","Uruguay","Buenos Aires","Rosario","Córdoba","Asunción"],"frame_perspective":[],"analysis_type":["attribution analysis","vulnerability assessment"]},{"id":"wwatt-000128","url":"https://climateinsightsdirectory.org/document/wwatt-000128","title":"Vulnerability and high temperatures exacerbate impacts of ongoing drought in Central South America","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.worldweatherattribution.org/wp-content/uploads/WWA-Argentina-Uruguay-drought-Scientific-Report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that while the 2022 drought in Central South America was primarily driven by natural variability and La Niña conditions, human-induced climate change exacerbated the event by increasing temperatures, which reduced water availability through higher evapotranspiration. The drought caused severe agricultural losses in Argentina, including a projected 25-50% decrease in soy yields and a significant drop in wheat production, while limiting potable water access for over 75,000 people in Uruguay.","ai_generated":true,"unit":"wwatt-000128#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The drought in Central South America during the October-December 2022 season was primarily driven by natural variability, specifically consecutive La Niña conditions, and cannot be attributed to anthropogenic climate change based on rainfall data alone.","ai_generated":true,"unit":"wwatt-000128#insight-1","date_modified":"2026-10-23"},{"text":"Human-induced climate change likely exacerbated the drought by increasing temperatures, which reduced water availability through higher potential evapotranspiration, although the study could not quantify this specific effect.","ai_generated":true,"unit":"wwatt-000128#insight-2","date_modified":"2026-10-23"},{"text":"The 2022 rainfall event for the whole region has a return period of 20 years, meaning there is a 5% chance of occurrence in any given year, while some individual stations saw return times up to 50 years.","ai_generated":true,"unit":"wwatt-000128#insight-3","date_modified":"2026-10-23"},{"text":"The drought caused severe agricultural impacts in Argentina, with wheat and soy harvests halved, leading to expected export deficits of 25-50%. Wheat production for 2022-23 is projected to drop from 22.4 to 12.4 million tonnes.","ai_generated":true,"unit":"wwatt-000128#insight-4","date_modified":"2026-10-23"},{"text":"In Uruguay, the drought resulted in more than 75,000 people losing access to potable water and limited water availability for livestock and crops.","ai_generated":true,"unit":"wwatt-000128#insight-5","date_modified":"2026-10-23"},{"text":"The drought's economic impact in Argentina is substantial, with the Economy Minister expecting a US$10 billion loss and a 2.2 point reduction in GDP, occurring alongside high inflation and currency devaluation.","ai_generated":true,"unit":"wwatt-000128#insight-6","date_modified":"2026-10-23"},{"text":"The drought affected water levels in major river basins, impacting hydropower generation and freshwater supplies for approximately 40 million people across Argentina, Brazil, and Paraguay.","ai_generated":true,"unit":"wwatt-000128#insight-7","date_modified":"2026-10-23"},{"text":"Analysis of climate models indicates that while anthropogenic climate change may lead to an increase in rainfall (a wetting trend), this is counteracted by temperature increases that reduce the amount of water reaching the ground.","ai_generated":true,"unit":"wwatt-000128#insight-8","date_modified":"2026-10-23"}],"climate_tags":["drought","anthropogenic climate change","La Niña","water scarcity","extreme heat","food security"],"geography_discussed":["Argentina","Uruguay","Brazil","Bolivia","Paraguay","Chile"],"frame_perspective":[],"analysis_type":["attribution analysis","return period estimation","model validation","vulnerability assessment"]},{"id":"wwf-000026","url":"https://climateinsightsdirectory.org/document/wwf-000026","title":"Water scarcity: 8 facts you need to know","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/resources/facts/water-scarcity-8-facts-you-need-to-know/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details the critical state of global freshwater resources, noting that less than 1% of Earth's water is accessible for human use. It highlights how climate change, inefficient agricultural irrigation—which consumes 70% of freshwater—and urban demand exacerbate water stress, affecting over 2 billion people. WWF's interventions are highlighted in the Rio Grande-Rio Bravo, the Indus River basin, the Pantanal, and various urban centers across Asia and North America, focusing on nature-based solutions, sustainable farming, and habitat restoration.","ai_generated":true,"unit":"wwf-000026#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Freshwater is a limited resource, with only about 3% of Earth's water being freshwater and less than 1% accessible for human use, currently facing depletion from pollution and over-extraction.","ai_generated":true,"unit":"wwf-000026#insight-1","date_modified":"2026-10-23"},{"text":"Water stress affects more than 2 billion people globally, regardless of national wealth, with women and children disproportionately burdened by the need to collect water.","ai_generated":true,"unit":"wwf-000026#insight-2","date_modified":"2026-10-23"},{"text":"Agricultural irrigation is the primary driver of freshwater consumption, accounting for 70% of global use, often through inefficient practices that lead to pollution and soil degradation.","ai_generated":true,"unit":"wwf-000026#insight-3","date_modified":"2026-10-23"},{"text":"Freshwater ecosystems have seen an 85% decline in biodiversity since 1970, and wetlands are disappearing three times faster than forests.","ai_generated":true,"unit":"wwf-000026#insight-4","date_modified":"2026-10-23"},{"text":"Specific regional water crises include the Rio Grande-Rio Bravo, where demand exceeds supply to the point that 1.5 Rio Grandes would be needed to meet current needs, and the Indus River basin in Pakistan, where floods threaten water security.","ai_generated":true,"unit":"wwf-000026#insight-5","date_modified":"2026-10-23"}],"climate_tags":["water scarcity","climate change","drought","flood","biodiversity loss","sustainable agriculture","agricultural irrigation","nature-based solutions"],"geography_discussed":["United States","Mexico","Pakistan","Brazil","Bolivia","Paraguay","Vietnam","Cambodia","India","Turkey","Rio Grande-Rio Bravo","Indus River basin","Q157603"],"frame_perspective":[],"analysis_type":["fact sheet"]},{"id":"wwf-000054","url":"https://climateinsightsdirectory.org/document/wwf-000054","title":"Taking deforestation and conversion out of supply chains","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/our-work/markets-institute/taking-deforestation-and-conversion-out-of-supply-chains/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"WWF has created a Deforestation and Conversion Free (DCF) Implementation Toolkit to assist companies in moving from commitments to action, specifically for beef, soy, and leather sourced from the Amazon, Cerrado, and Gran Chaco. The toolkit aligns with the Accountability Framework and provides a three-step process: assessing current practices, planning milestones, and executing actions using a technical reference catalog. It is designed for various value chain actors, including brands, financial institutions, and traders, and has been utilized by BRF S.A. for its soy supply chain.","ai_generated":true,"unit":"wwf-000054#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Deforestation and Conversion Free (DCF) Implementation Toolkit is designed to help companies transition from commitments to action in alignment with the Accountability Framework, specifically targeting beef, soy, and leather produced in the Amazon and Cerrado in Brazil, and the Gran Chaco in Argentina and Paraguay.","ai_generated":true,"unit":"wwf-000054#insight-1","date_modified":"2026-10-23"},{"text":"The toolkit is applicable to a wide range of entities across the value chain, including soy traders, meatpackers, retailers, restaurants, food brands, and financial institutions.","ai_generated":true,"unit":"wwf-000054#insight-2","date_modified":"2026-10-23"},{"text":"The implementation process consists of three primary stages: an assessment of current practices to identify gaps, the creation of a roadmap with milestones for monitoring, and the execution of the plan using a catalog of technical reference materials.","ai_generated":true,"unit":"wwf-000054#insight-3","date_modified":"2026-10-23"},{"text":"The Brazilian food sector leader BRF S.A. applied the DCF Implementation toolkit in 2018, in partnership with WWF and Rever Consulting, to develop an implementation plan for a sustainable soy supply chain.","ai_generated":true,"unit":"wwf-000054#insight-4","date_modified":"2026-10-23"}],"climate_tags":["deforestation","biodiversity loss","climate change"],"geography_discussed":["South America"],"frame_perspective":[],"analysis_type":["guide"]},{"id":"wwf-000110","url":"https://climateinsightsdirectory.org/document/wwf-000110","title":"Expanding nesting opportunities for hyacinth macaws in the Paraguayan Cerrado","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"case study","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/our-work/wildlife/wildlife-adaptation-innovation-fund/expanding-nesting-opportunities-for-hyacinth-macaws-in-the-paraguayan-cerrado/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project addressed threats to hyacinth macaws in the Estancia Arrecife Natural Reserve, including climate-exacerbated wildfires and poaching. Interventions included educational campaigns involving 187 participants and the installation of 20 artificial nest boxes and the repair of three natural nest trees. These efforts resulted in the first recorded wild occupation of a nest box by a hyacinth macaw in Paraguay, alongside the occupation of five natural cavities by hyacinth and scarlet macaws.","ai_generated":true,"unit":"wwf-000110#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change is exacerbating destructive wildfires in the Cerrado, which disrupts the availability of large trees required for hyacinth macaw breeding and threatens their long-term survival.","ai_generated":true,"unit":"wwf-000110#insight-1","date_modified":"2026-10-23"},{"text":"Conservation efforts in the Estancia Arrecife Natural Reserve, including the installation of 20 nest boxes and the repair of three natural nest trees, led to the first recorded wild occupation of a hyacinth macaw in a nest box in Paraguay.","ai_generated":true,"unit":"wwf-000110#insight-2","date_modified":"2026-10-23"},{"text":"The project integrated community and government engagement, involving 172 students, six government workers, and nine park rangers in education campaigns targeting poaching, illegal trafficking, and habitat destruction.","ai_generated":true,"unit":"wwf-000110#insight-3","date_modified":"2026-10-23"}],"climate_tags":["wildfire","biodiversity conservation","climate change"],"geography_discussed":["Brazil","Amazon rainforest","Atlantic Forests"],"frame_perspective":[],"analysis_type":["case study"]},{"id":"wwf-000307","url":"https://climateinsightsdirectory.org/document/wwf-000307","title":"Food is Local FELLOWSHIP GUIDELINES","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://files.worldwildlife.org/wwfcmsprod/files/Publication/file/2c74n02ms1_2023_Food_Guidelines_EN.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The 'Food is Local' fellowship by WWF International provides funding for master's and PhD students from 32 eligible countries to conduct interdisciplinary research on transforming food systems to be more sustainable, equitable, and climate-resilient. Eligible applicants must be citizens of the listed countries, have two years of conservation experience, and plan to start their studies by January 2024. Research proposals are encouraged to cover themes such as agroecological practices, gender equity, and the role of food systems in achieving Nationally Determined Contributions (NDCs).","ai_generated":true,"unit":"wwf-000307#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The fellowship targets research on food system transformation at the national level to address the intersection of environmental sustainability, equitable food distribution, and nutrition, noting that food is a \"leading cause of environmental degradation and poor human health\".","ai_generated":true,"unit":"wwf-000307#insight-1","date_modified":"2026-10-23"},{"text":"WWF identifies several priority research themes for proposals, including the scaling-up of agroecological production, the role of food systems in meeting global biodiversity goals and Nationally Determined Contributions (NDCs), and the integration of traditional and indigenous knowledge.","ai_generated":true,"unit":"wwf-000307#insight-2","date_modified":"2026-10-23"},{"text":"To be eligible, applicants must be citizens and legal permanent residents of one of 32 specified countries, possess at least two years of conservation-related experience, and be enrolled in or applying to a master's or PhD program globally, with studies beginning by January 2024.","ai_generated":true,"unit":"wwf-000307#insight-3","date_modified":"2026-10-23"}],"climate_tags":["food system","agroecology","Nationally Determined Contributions","biodiversity","natural resource management"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["guidelines"]},{"id":"wwf-000326","url":"https://climateinsightsdirectory.org/document/wwf-000326","title":"The Pantanal Conserving the World’s Largest Wetland","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/documents/663/2iyyq7ml6t_Pantanal_Snapshot_8a__002__Copy.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Pantanal is the world's largest wetland, spanning Brazil, Bolivia, and Paraguay, and providing ecosystem services valued at $112 billion. It faces threats from land use changes, upstream pollution, and climate change, which is predicted to make the region hotter and drier. WWF is implementing a 'Trinational Initiative' to promote sustainable infrastructure, expand protected areas, and eradicate deforestation, which has already caused a loss of over 12% of the region's forest cover.","ai_generated":true,"unit":"wwf-000326#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Pantanal is the world's largest wetland, covering over 17 million hectares across Brazil, Bolivia, and Paraguay. It supports more than 4,700 plant and animal species and provides ecosystem services—including carbon sequestration, groundwater recharge, and river flow—valued at $112 billion, which exceeds the economic value of the region's crop and cattle production.","ai_generated":true,"unit":"wwf-000326#insight-1","date_modified":"2026-10-23"},{"text":"The region's economy is heavily driven by agriculture and cattle ranching, particularly in the Brazilian states of Mato Grosso and Mato Grosso do Sul, which produce approximately 40% of Brazil's soy and over 20% of its cattle. In 2015, the states within the Pantanal generated more than $70 billion for the three countries involved.","ai_generated":true,"unit":"wwf-000326#insight-2","date_modified":"2026-10-23"},{"text":"The ecosystem is threatened by upstream pollution from mining and urban runoff, as well as land use changes. Expansion of agriculture and ranching has led to the loss of more than 12% of the region's forest cover, and the document warns that native vegetation could disappear by 2050 without intervention.","ai_generated":true,"unit":"wwf-000326#insight-3","date_modified":"2026-10-23"},{"text":"Climate change is expected to increase average temperatures by several degrees by the end of the century, leading to more extreme floods and droughts, the shrinking of the wetland, and impaired plant function.","ai_generated":true,"unit":"wwf-000326#insight-4","date_modified":"2026-10-23"},{"text":"WWF is supporting the 'Trinational Initiative for the Integrated and Sustainable Development of the Pantanal,' a joint strategy between Brazil, Bolivia, and Paraguay to establish a common vision for the region's future and fulfill their National Determined Contributions and Sustainable Development Goals.","ai_generated":true,"unit":"wwf-000326#insight-5","date_modified":"2026-10-23"}],"climate_tags":["biodiversity","carbon sequestration","climate change adaptation","deforestation","sustainable agriculture","green infrastructure","Nationally Determined Contributions","Sustainable Development Goals"],"geography_discussed":["Mato Grosso","Mato Grosso do Sul","Río de la Plata Basin"],"frame_perspective":[],"analysis_type":["ecosystem assessment","policy strategy"]},{"id":"wwf-000414","url":"https://climateinsightsdirectory.org/document/wwf-000414","title":"Leather Also Has a Role to Play in the Fight Against Deforestation","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/documents/504/3gs7vgqvmc_DCF_Leather_Business_Case_10_22_v4.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report positions leather as a circular byproduct of the beef and dairy industries, arguing that leather purchasers have a unique economic lever to incentivize deforestation-free production. It highlights the environmental risks of both cattle-driven deforestation and plastic-based leather alternatives, while noting that the leather industry currently lags in forest protection commitments. The text emphasizes the importance of full traceability to the farm level, the role of emerging EU and UK legislation, and the potential for industry collaboration through groups like the Leather Working Group to reduce greenhouse gas emissions and habitat loss.","ai_generated":true,"unit":"wwf-000414#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Leather is a byproduct of the beef and dairy industries and does not significantly drive cattle supply; a 1% increase in cattle price results in only a 0.1-0.2% increase in supply.","ai_generated":true,"unit":"wwf-000414#insight-1","date_modified":"2026-10-23"},{"text":"The leather industry has significant untapped influence to drive sustainable practices because the additional income from hides strengthens the economic position of beef producers, providing leverage for purchasers to demand deforestation and conversion-free (DCF) production.","ai_generated":true,"unit":"wwf-000414#insight-2","date_modified":"2026-10-23"},{"text":"Many leather alternatives marketed as 'vegan' are made from fossil-fuel-based plastics that do not biodegrade and contribute to microplastic pollution, whereas leather is durable and can be upcycled.","ai_generated":true,"unit":"wwf-000414#insight-3","date_modified":"2026-10-23"},{"text":"Deforestation and habitat conversion significantly increase the greenhouse gas (GHG) footprint of leather; land use change (LUC) emissions can exceed 75% of a hide's total footprint in countries like Brazil and Indonesia.","ai_generated":true,"unit":"wwf-000414#insight-4","date_modified":"2026-10-23"},{"text":"Legislative pressures are increasing in Europe and the UK, including a proposed EU law requiring full traceability to the farm and plantation level for commodities like beef and leather to ensure they are deforestation-free.","ai_generated":true,"unit":"wwf-000414#insight-5","date_modified":"2026-10-23"},{"text":"The automotive industry is a major consumer of leather, with approximately 20% of leather absorbed by the sector, and is a critical point of influence for reducing habitat conversion in Brazil.","ai_generated":true,"unit":"wwf-000414#insight-6","date_modified":"2026-10-23"}],"climate_tags":["deforestation","greenhouse gas emissions","circular economy","land-use change"],"geography_discussed":["European Union","France","United States","Argentina","Paraguay","Indonesia"],"frame_perspective":[],"analysis_type":["business case","policy analysis","environmental assessment"]},{"id":"wwf-001023","url":"https://climateinsightsdirectory.org/document/wwf-001023","title":"Fully traceable deforestation-free beef and leather? Argentina has it, and can calculate its greenhouse gas footprint, too.","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"case study","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/documents/787/on5rm6lm0_DEVINE_CANAVAN_DCF_2_Pager_09_23_v4.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"A proof of concept conducted by WWF and partners in Argentina's Santa Fe province successfully traced beef and leather from birth to export, ensuring they were deforestation-free based on a December 31, 2020 cut-off date. The project issued 30 certificates for meat and 22 for leather, facilitating exports to the European Union and China. Alongside this, a carbon calculator was developed to measure cradle-to-export carbon intensity, incorporating land use change and farm-level data. While the system is robust, challenges were identified regarding georeferencing gaps in the SENASA database and the technical difficulty of tracing hides after ear tags are removed. The project led to the creation of the 'Santa Fe Process Verified Program (SFPVLA)' and provides a model for national scaling in Argentina and potential application in Brazil and Paraguay.","ai_generated":true,"unit":"wwf-001023#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A proof of concept in Santa Fe province proved that beef and leather can be traced from birth to processing and exported as verified deforestation-free, with successful shipments made to China and the European Union.","ai_generated":true,"unit":"wwf-001023#insight-1","date_modified":"2026-10-23"},{"text":"The project resulted in the issuance of 30 deforestation-free certificates for meat and 22 for leather, covering 181 cows and 627 steers from five farms, and led to the establishment of the 'Santa Fe Process Verified Program (SFPVLA)' which enforces a zero-deforestation standard as of December 2020.","ai_generated":true,"unit":"wwf-001023#insight-2","date_modified":"2026-10-23"},{"text":"WWF developed a carbon calculator to measure the carbon intensity of beef and leather supply chains, including land use change and farm-level data; this tool revealed that improved pasture and manure management can increase productivity while lowering carbon intensity.","ai_generated":true,"unit":"wwf-001023#insight-3","date_modified":"2026-10-23"},{"text":"Technical challenges to scaling the system nationally include georeferencing gaps in the National Food Safety and Quality Service (SENASA) database—affecting less than 2% of nearly 180,000 polygons—and the difficulty of tracing hides once animal ear tags are removed.","ai_generated":true,"unit":"wwf-001023#insight-4","date_modified":"2026-10-23"}],"climate_tags":["deforestation","carbon footprint","land-use change"],"geography_discussed":["European Union","People's Republic of China","Brazil","Paraguay"],"frame_perspective":[],"analysis_type":["case study"]}]}