{"query_echo":{"q":"","filters":{"climate_tags":["crop yield"]},"warnings":[]},"total":{"value":65,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?climate_tags=crop+yield","next":"https://climateinsightsdirectory.org/api/v1/search?climate_tags=crop+yield&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":"issafri-000275","url":"https://climateinsightsdirectory.org/document/issafri-000275","title":"The Agriculture scenario","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"research paper","language":"en","date_published":"2026-04-21","source_url":"https://futures.issafrica.org/thematic/guide.pdf?thematic=04-agriculture&topic=09-agricultural-scenario","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines a simulated agricultural revolution in Africa based on eight interventions: increasing crop yields, expanding irrigation, increasing water withdrawal, protecting forests, improving supply chains, enhancing rural road access, and increasing per capita calories. The scenario predicts that by 2043, average crop yields will reach 7 tons per hectare (a 37% increase over the 'Current Path') and irrigated land will grow to 17.4 million hectares. It emphasizes the role of these interventions in reducing food loss and waste—projected to drop to 19.4% by 2033—and improving rural accessibility to 69%. The model balances agricultural expansion with forest protection, aiming to save 30 million hectares of forest land by 2043 compared to the Current Path forecast.","ai_generated":true,"unit":"issafri-000275#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Agriculture scenario projects that Africa's average crop yields will reach 7 tons per hectare by 2043, which is a 37% improvement over the Current Path forecast of 5.1 tons per hectare. The most significant gains are expected in Central and East Africa, where yields are forecast to increase by 41% above the Current Path.","ai_generated":true,"unit":"issafri-000275#insight-1","date_modified":"2026-10-23"},{"text":"To adapt to climate change, the scenario models an increase in irrigated land to 17.4 million hectares by 2043, a 26% increase over the Current Path. Regional impacts vary, with Southern Africa seeing a 71% increase (to 3.6 million hectares) and East Africa a 34% increase (to 5 million hectares).","ai_generated":true,"unit":"issafri-000275#insight-2","date_modified":"2026-10-23"},{"text":"The scenario implements an ecosystem-based approach to limit deforestation, forecasting that forest land will be 622 million hectares by 2043, saving 30 million hectares compared to the Current Path. This protection results in a smaller expansion of cropland (300 million hectares by 2043) and grazing land (903 million hectares by 2043) than the Current Path predicts.","ai_generated":true,"unit":"issafri-000275#insight-3","date_modified":"2026-10-23"},{"text":"Interventions to improve food supply chains and reduce post-harvest losses are projected to lower food loss and waste to 19.4% by 2033, contrasting with the Current Path forecast where loss and waste would increase to 26.3% by 2043.","ai_generated":true,"unit":"issafri-000275#insight-4","date_modified":"2026-10-23"},{"text":"The scenario aims to increase rural road accessibility to 69% by 2043, compared to 62% in the Current Path. The most substantial improvement is in Central Africa, where accessibility is forecast to rise from 47% to 57%.","ai_generated":true,"unit":"issafri-000275#insight-5","date_modified":"2026-10-23"},{"text":"To improve domestic food security, the scenario projects an increase in average calories per person per day by 4.4% by 2043 compared to the Current Path, reaching 2936 calories per capita. Central Africa sees the largest improvement at 9% above the Current Path.","ai_generated":true,"unit":"issafri-000275#insight-6","date_modified":"2026-10-23"},{"text":"The scenario includes a 14% increase in total water supply in Africa by 2043 (309 cubic kilometers instead of 267) to support expanded irrigation, particularly in dryland and savanna areas.","ai_generated":true,"unit":"issafri-000275#insight-7","date_modified":"2026-10-23"}],"climate_tags":["crop yield","agricultural irrigation","deforestation","afforestation","food security","climate change adaptation","Sustainable land management"],"geography_discussed":["Central Africa","East Africa","Southern Africa","West Africa","North Africa","Ethiopia","Rwanda","Ivory Coast","Nigeria","Liberia","Guinea","Sierra Leone","Equatorial Guinea","Gabon","Central African Republic","Republic of the Congo","South Africa","Somalia","Burundi","Madagascar","Democratic Republic of the Congo"],"frame_perspective":[],"analysis_type":["forecasting","scenario modeling"]},{"id":"zca-000075","url":"https://climateinsightsdirectory.org/document/zca-000075","title":"El Niño and Climate Change","publisher":{"name":"Zero Carbon Analytics","organization":"zero-carbon-analytics"},"document_type":"briefing","language":"en","date_published":"2026-04-21","source_url":"https://zerocarbon-analytics.org/insights/briefings/el-nino-and-climate-change/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document describes El Niño as a natural climate phenomenon characterized by warmer-than-average sea surface temperatures in the equatorial Pacific. It argues that climate change is increasing the frequency and severity of extreme El Niño events, particularly Central-Pacific (CP) events, and complicating their prediction. For 2026, there is a 61% chance of an El Niño emerging between May and July, with some models suggesting it could be the strongest in 140 years. The briefing details global teleconnections, noting that El Niño typically causes droughts in southern Africa, Australia, and India, while increasing flood risks in East Africa and the Americas. These shifts significantly impact global agriculture, reducing yields for maize, rice, and wheat while often increasing soybean yields. Regional analysis highlights specific risks, such as increased cholera in East Africa, hydropower reductions at Kariba Dam in Zambia and Zimbabwe, and the Amazon becoming a net carbon source during Eastern-Pacific (EP) events.","ai_generated":true,"unit":"zca-000075#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Forecasts for 2026 indicate a 61% probability that El Niño will emerge between May and July and last until at least the end of the year, with some scientific warnings that it could be the strongest event in 140 years.","ai_generated":true,"unit":"zca-000075#insight-1","date_modified":"2026-10-23"},{"text":"Climate change is projected to increase the frequency and severity of extreme El Niño and La Niña events, with some projections suggesting a doubling of extreme El Niño events as global temperatures rise.","ai_generated":true,"unit":"zca-000075#insight-2","date_modified":"2026-10-23"},{"text":"There is a shift in the type of El Niño events occurring; Central-Pacific (CP) events have increased in frequency since 2000 and are projected to increase five-fold under climate change, while Eastern-Pacific (EP) events are expected to become more extreme.","ai_generated":true,"unit":"zca-000075#insight-3","date_modified":"2026-10-23"},{"text":"Global warming complicates the detection and prediction of El Niño because rising sea surface temperatures make historical baselines less reliable, requiring the use of relative SST anomalies compared to the tropical mean.","ai_generated":true,"unit":"zca-000075#insight-4","date_modified":"2026-10-23"},{"text":"El Niño has diverse global agricultural impacts, reducing grain yields across 22–24% of harvested areas—specifically for maize, rice, and wheat—while increasing soybean yields in major producing regions like the US and Brazil.","ai_generated":true,"unit":"zca-000075#insight-5","date_modified":"2026-10-23"},{"text":"In Africa, El Niño is linked to increased flooding and cholera in East Africa, while southern Africa faces droughts that reduce maize yields and hydropower generation, such as at the Kariba Dam serving Zambia and Zimbabwe.","ai_generated":true,"unit":"zca-000075#insight-6","date_modified":"2026-10-23"},{"text":"Eastern-Pacific (EP) El Niño events can turn the Amazon into a net carbon source due to lower rainfall across all seasons, which dries out trees and slows their growth.","ai_generated":true,"unit":"zca-000075#insight-7","date_modified":"2026-10-23"}],"climate_tags":["El Niño southern oscillation","La Niña","climate change","sea surface temperature","crop yield","food security","wildfire","flood","drought","tropical cyclone","coral bleaching","hydropower","public health"],"geography_discussed":["East Africa","Mexico","United States","Peru","Ecuador","Indonesia","Australia","Amazon rainforest","India","Southern Africa","Philippines","Canada","Chile","Japan","South Korea","Panama","Kenya","Ethiopia","Zambia","Zimbabwe","People's Republic of China","Europe","Brazil","Colombia"],"frame_perspective":[],"analysis_type":["impact assessment","forecast analysis"]},{"id":"wwf-001076","url":"https://climateinsightsdirectory.org/document/wwf-001076","title":"Neonicotinoid Seed Treatments in North American Row Crops: A Literature Review of Yield and Profitability Outcomes","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"research paper","language":"en","date_published":"2026","source_url":"https://www.worldwildlife.org/documents/2371/WWF_Neonic_lit_review_2026.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The review finds that neonicotinoid seed treatments (NSTs) often fail to provide statistically significant increases in yield or profitability for North American farmers, particularly in colder regions like the Midwest and Northern U.S. where early-season pest pressure is lower. While some positive returns on investment (ROI) were observed in the U.S. South due to milder winters and higher pest pressure, these results were inconsistent year-to-year. The document highlights significant ecological harms, including the reduction of predator insect populations, damage to pollinators, and disruption of soil decomposition. It argues that a shift from prophylactic use to an 'assess-and-decide' approach based on actual pest pressure would save farmers money without reducing yields.","ai_generated":true,"unit":"wwf-001076#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Neonicotinoid seed treatments (NSTs) frequently do not improve crop yields or farmer profitability because pest pressure is often insufficient to justify their economic cost.","ai_generated":true,"unit":"wwf-001076#insight-1","date_modified":"2026-10-23"},{"text":"The effectiveness of NSTs varies by geography; colder winters in the Midwest and Northern U.S. reduce early-season pest pressure, making treatments less valuable compared to the U.S. South.","ai_generated":true,"unit":"wwf-001076#insight-2","date_modified":"2026-10-23"},{"text":"In the U.S. South, NSTs for corn, soy, and cotton showed an average positive return on investment (ROI), though this was inconsistent across different years.","ai_generated":true,"unit":"wwf-001076#insight-3","date_modified":"2026-10-23"},{"text":"NSTs can negatively impact yields by harming non-target predator insects that control pests; for example, in Pennsylvania soy fields, NSTs reduced predatory beetles that eat slugs, leading to lower yields.","ai_generated":true,"unit":"wwf-001076#insight-4","date_modified":"2026-10-23"},{"text":"The use of NSTs can decrease yields for crops dependent on pollinators, such as sunflowers and melons, by harming the pollinators themselves.","ai_generated":true,"unit":"wwf-001076#insight-5","date_modified":"2026-10-23"},{"text":"NSTs have a limited efficacy window, typically two to three weeks after planting, meaning they do not protect against late-season pests like grasshoppers and stinkbugs.","ai_generated":true,"unit":"wwf-001076#insight-6","date_modified":"2026-10-23"},{"text":"Prophylactic use of neonicotinoids on corn and soy fields has been found to reduce the populations of decomposer insects and decrease leaf litter decomposition by 10%.","ai_generated":true,"unit":"wwf-001076#insight-7","date_modified":"2026-10-23"},{"text":"Some evidence suggests NSTs may alter plant physiology in ways that increase vulnerability to secondary pests, such as spider mites and fall armyworm.","ai_generated":true,"unit":"wwf-001076#insight-8","date_modified":"2026-10-23"},{"text":"Farmers could reduce operating costs without sacrificing yield by switching from default prophylactic use to an integrated pest management (IPM) approach based on pest monitoring.","ai_generated":true,"unit":"wwf-001076#insight-9","date_modified":"2026-10-23"},{"text":"Market constraints, specifically seed companies making it difficult to source non-treated seeds with high-demand genetics, contribute to the overuse of NSTs.","ai_generated":true,"unit":"wwf-001076#insight-10","date_modified":"2026-10-23"}],"climate_tags":["crop yield","pollinator","climate change","biodiversity"],"geography_discussed":["Canada","Quebec","Indiana","Pennsylvania","Maryland","Arkansas","Louisiana","Mississippi","Tennessee","Michigan","Montana","Washington","Texas","Ontario","New York","Virginia"],"frame_perspective":[],"analysis_type":["literature review"]},{"id":"sei-002020","url":"https://climateinsightsdirectory.org/document/sei-002020","title":"WEAP: water evaluation and adaptation planning","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2025-08","source_url":"https://www.sei.org/wp-content/uploads/2023/03/weap-factsheet-2025.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"WEAP is a comprehensive software tool for integrated water resources planning used by over 50,000 users in nearly 200 countries. It functions as a database, forecasting tool, and policy analysis system that balances water demand—including use patterns and allocation—with supply factors like streamflow and groundwater. The software features a GIS-based graphical interface and supports scenario-based analysis to evaluate the impacts of climate change, demographic shifts, and policy changes on water systems. It has been applied in diverse global contexts, including projects in China, Rwanda, Colombia, India, Nepal, and California, to support stakeholder dialogue and evaluate environmental flows.","ai_generated":true,"unit":"sei-002020#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"WEAP is an integrated water resources planning tool used by more than 50,000 users across nearly 200 countries and has informed over 1,000 publications globally.","ai_generated":true,"unit":"sei-002020#insight-1","date_modified":"2026-10-23"},{"text":"The software operates as a database for maintaining supply and demand information, a forecasting tool for simulating runoff, pollution, and water quality, and a policy analysis tool to evaluate management options and competing water uses.","ai_generated":true,"unit":"sei-002020#insight-2","date_modified":"2026-10-23"},{"text":"Scenario analysis is a central feature of WEAP, allowing users to model the effects of climate change on demand and supply, rising CO2 levels on crop yields, and changes in demographic or economic patterns.","ai_generated":true,"unit":"sei-002020#insight-3","date_modified":"2026-10-23"},{"text":"The tool utilizes a GIS-based graphical interface and incorporates CMIP6 climate scenarios and built-in databases for elevation and land cover to streamline model-building.","ai_generated":true,"unit":"sei-002020#insight-4","date_modified":"2026-10-23"},{"text":"WEAP has been applied to specific regional challenges, such as evaluating climate and land use impacts on river flooding in Colombia, supporting multi-stakeholder dialogue in China, and exploring water conservation in India and Nepal.","ai_generated":true,"unit":"sei-002020#insight-5","date_modified":"2026-10-23"}],"climate_tags":["water quality","climate change","water conservation","crop yield"],"geography_discussed":["People's Republic of China","Rwanda","Colombia","Middle East","India","Nepal","California","United States"],"frame_perspective":[],"analysis_type":["software description","case study"]},{"id":"wwf-000023","url":"https://climateinsightsdirectory.org/document/wwf-000023","title":"WWFs Living Planet Report proves that nature is your business","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"statement","language":"en","date_published":"2024-10-10","source_url":"https://www.worldwildlife.org/news/perspectives/sustainability-works-hub/sustainability-works-index/wwfs-living-planet-report-proves-that-nature-is-your-business/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document highlights a 73% decline in average wildlife populations since 1970 as a critical warning for the global economy. It asserts that nature loss threatens global GDP, with specific risks identified in the EU and Asia Pacific, and predicts a potential $2.7 trillion loss by 2030 due to the collapse of ecosystem services. The author calls on the business and finance sectors to transition toward net-zero, nature-positive markets using tools like the Biodiversity Risk Filter and Science-Based Targets for Nature.","ai_generated":true,"unit":"wwf-000023#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Since 1970, there has been an average decline of 73% in the size of wildlife populations, which the author describes as a warning sign regarding the planet's capacity to support life and provide essential resources.","ai_generated":true,"unit":"wwf-000023#insight-1","date_modified":"2026-10-23"},{"text":"Nature is a fundamental driver of the global economy, with $58 trillion, or 55% of global GDP, depending on it.","ai_generated":true,"unit":"wwf-000023#insight-2","date_modified":"2026-10-23"},{"text":"Nature loss presents severe regional economic risks, including a threat to 63% of Asia Pacific GDP and contributing to 17% of the EU's €650 billion in climate-related losses over the last two years.","ai_generated":true,"unit":"wwf-000023#insight-3","date_modified":"2026-10-23"},{"text":"The collapse of critical ecosystem services, such as timber production, fisheries, and pollination, could result in a $2.7 trillion reduction in global GDP by 2030.","ai_generated":true,"unit":"wwf-000023#insight-4","date_modified":"2026-10-23"},{"text":"Global crop yields are predicted to decrease by 10%, with some regions facing decreases of up to 50%.","ai_generated":true,"unit":"wwf-000023#insight-5","date_modified":"2026-10-23"}],"climate_tags":["biodiversity loss","ecosystem service","Net-zero emissions","crop yield","climate finance"],"geography_discussed":["European Union","Asia Pacific","Brazil"],"frame_perspective":[],"analysis_type":["economic risk assessment"]},{"id":"napglob-000093","url":"https://climateinsightsdirectory.org/document/napglob-000093","title":"Climate Change Vulnerability Assessment for Kassena Nankana Municipal Assembly","publisher":{"name":"NAP Global Network","organization":"nap-global-network"},"document_type":"report","language":"en","date_published":"2024-03","source_url":"https://napglobalnetwork.org/wp-content/uploads/2025/07/ghana-2024-cvra-report-kassena-nankana.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The assessment identifies agriculture as the most vulnerable sector in the Kassena Nankana Municipality, with high sensitivity in zonal councils like Biu and Doba due to the prevalence of mud-brick housing and flood-prone farmlands. While the quantitative Vulnerability Index suggests that adaptive capacity currently outweighs exposure and sensitivity across all zonal councils, Naaga is identified as the most vulnerable area due to its low adaptive capacity and high exposure to the White Volta River. Future projections indicate rising temperatures and irregular rainfall, which are expected to reduce maize and soybean yields and increase the prevalence of climate-sensitive diseases like cerebrospinal meningitis.","ai_generated":true,"unit":"napglob-000093#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Agriculture is the most critical and vulnerable sector in the municipality, with 78% of the economically active population employed in the sector. It is highly susceptible to declining rainfall, high temperatures, and extreme events, which reduce crop yields and livestock productivity.","ai_generated":true,"unit":"napglob-000093#insight-1","date_modified":"2026-10-23"},{"text":"The quantitative vulnerability assessment reveals a north-south gradient of vulnerability. Manyoro, North-East, and Yua zonal councils in the north have the lowest vulnerability, while Naaga, the southernmost council, is the most vulnerable due to its low adaptive capacity and high exposure to the White Volta River.","ai_generated":true,"unit":"napglob-000093#insight-2","date_modified":"2026-10-23"},{"text":"Biu and Doba zonal councils exhibit the highest sensitivity to climate impacts, primarily because a high percentage of their buildings are constructed from mud/bricks, making them highly susceptible to flood damage.","ai_generated":true,"unit":"napglob-000093#insight-3","date_modified":"2026-10-23"},{"text":"Gender-disaggregated data shows that women generally have a lower capacity to adapt to climate change than men, particularly regarding access to smartphones, the internet, and climate information services (CIS). However, women are more active in adopting alternative livelihoods, such as trading and migration.","ai_generated":true,"unit":"napglob-000093#insight-4","date_modified":"2026-10-23"},{"text":"Future climate projections for Navrongo indicate a steady increase in mean annual rainfall until the middle of the century, followed by divergent paths under different scenarios. Temperatures are projected to rise, with nighttime temperatures increasing more quickly than daytime temperatures.","ai_generated":true,"unit":"napglob-000093#insight-5","date_modified":"2026-10-23"},{"text":"Future climate risks include significant declines in crop productivity, with maize yields projected to decrease by 9% under RCP 4.5 and 39% under RCP 8.5 by mid-century. Additionally, rising temperatures are expected to increase the incidence of cerebrospinal meningitis (CSM) and other heat-related health stresses.","ai_generated":true,"unit":"napglob-000093#insight-6","date_modified":"2026-10-23"},{"text":"There is a critical lack of access to climate-tolerant seeds and agricultural insurance across the municipality. In several zonal councils, such as Telania and North-East, over 90% of respondents reported no access to climate-tolerant seeds, and subscription to agricultural insurance is described as non-existent.","ai_generated":true,"unit":"napglob-000093#insight-7","date_modified":"2026-10-23"}],"climate_tags":["agriculture","climate finance","Climate information service","crop yield","drought","energy transition","flood risk","forestry","gender","hydropower","national adaptation plan","public health","water resource"],"geography_discussed":["Ghana","Navrongo","Upper East Region","Burkina Faso"],"frame_perspective":[],"analysis_type":["vulnerability assessment","quantitative analysis","gender analysis","climate projection"]},{"id":"issafri-000290","url":"https://climateinsightsdirectory.org/document/issafri-000290","title":"The Rebirth: Tunisia’s potential development pathways to 2040","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"report","language":"en","date_published":"2023-05-12","source_url":"https://futures.issafrica.org/special-reports/guide.pdf?report=country/tunisia&topic=06-agriculture","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines Tunisia's agricultural sector, highlighting low crop yields, high food dependence, and significant crop waste. It argues that state intervention has prioritised food security over agricultural development, hindering productivity. Furthermore, it details the severe threats posed by climate change, including rising temperatures, sea-level rise, and reduced agricultural output, which threaten the country's economy, infrastructure, and public health.","ai_generated":true,"unit":"issafri-000290#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Tunisia's agricultural sector is characterized by low productivity and high resource consumption; average crop yields are under 2 tonnes per hectare, while the sector consumes 80% of the country's natural water resources. Projections for 2040 suggest only a slight increase in yields to 2.4 tonnes per hectare, remaining far below the OLMIC average of approximately 7.5 tonnes per hectare.","ai_generated":true,"unit":"issafri-000290#insight-1","date_modified":"2026-10-23"},{"text":"Tunisia suffers from significant food dependence and waste. Food dependence exceeded 55% of consumption in 2019, with one in two Tunisians consuming imported food. Additionally, the country loses more than 20% of its crops to waste, with an estimated 900,000 units of bread wasted daily, costing roughly TND 100 million (€50.8 million) annually.","ai_generated":true,"unit":"issafri-000290#insight-2","date_modified":"2026-10-23"},{"text":"A World Bank study indicates that Tunisia lacks a comprehensive agricultural policy, instead implementing a food security policy that hinders sector development. State intervention has shifted production away from Mediterranean products, where the country has a comparative advantage, toward less competitive continental products, resulting in suboptimal productivity.","ai_generated":true,"unit":"issafri-000290#insight-3","date_modified":"2026-10-23"},{"text":"Climate change poses severe economic and physical risks to Tunisia. USAID projects an output reduction of €2–2.7 billion between 2000 and 2030 due to stagnant yields and rising global food prices. Physical threats include a projected increase in annual maximum temperatures of 1.5–2.5 °C by 2030 and 1.9–3.8 °C by 2050, as well as a sea-level rise of 3–61 cm this century.","ai_generated":true,"unit":"issafri-000290#insight-4","date_modified":"2026-10-23"},{"text":"Environmental degradation and climate change threaten Tunisia's infrastructure and public health. Sea-level rise and erosion threaten the coastline where 84% of the population resides, potentially damaging roads and water sanitation facilities. Health risks include higher mortality from extreme heat, increased malnutrition from crop failure, and limited access to clean water.","ai_generated":true,"unit":"issafri-000290#insight-5","date_modified":"2026-10-23"}],"climate_tags":["agriculture","food security","crop yield","water resource","food waste","climate change","sea level rise","coastal erosion","drought","extreme heat"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["forecasting","economic assessment","risk analysis"]},{"id":"wwatt-000021","url":"https://climateinsightsdirectory.org/document/wwatt-000021","title":"Extreme April heat in Spain, Portugal, Morocco, Algeria almost impossible without climate change","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":"2023-05-05","source_url":"https://www.worldweatherattribution.org/extreme-april-heat-in-spain-portugal-morocco-algeria-almost-impossible-without-climate-change/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"A collaborative study by international scientists found that the extreme heatwave in the Western Mediterranean from 26-28 April 2023 was likely made at least 100 times more probable by human-induced climate change. The event, which saw temperatures up to 20 degrees higher than normal and broke national records in Spain and Portugal, would have been at least 2°C cooler in a world 1.2°C colder. The researchers note that climate models likely underestimate the increase in extreme heat in Western Europe, suggesting their findings are conservative.","ai_generated":true,"unit":"wwatt-000021#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"During the final week of April 2023, temperatures in Spain, Portugal, Morocco, and Algeria were up to 20 degrees above normal. National April records were broken in mainland Spain (38.8°C) and Portugal (36.9°C), while temperatures in Morocco exceeded 41°C in cities including Marrakech, Taroudant, and Sidi-Slimane. In Algeria, temperatures surpassed 40°C on 28 April in Mascara-Ghriss and Maghnia.","ai_generated":true,"unit":"wwatt-000021#insight-1","date_modified":"2026-10-23"},{"text":"The heatwave event of 26-28 April 2023 was an extremely rare occurrence even in the current climate, with an estimated return period of 60 to 400 years, representing a 0.25% annual probability.","ai_generated":true,"unit":"wwatt-000021#insight-2","date_modified":"2026-10-23"},{"text":"Human-induced climate change increased the likelihood of this heatwave by at least a factor of 100. In a world 1.2°C colder, a heatwave with the same probability of occurrence would have been at least 2°C cooler.","ai_generated":true,"unit":"wwatt-000021#insight-3","date_modified":"2026-10-23"},{"text":"The study indicates that climate models systematically underestimate the increase in extreme heat in Western Europe compared to observations, meaning the estimated likelihood increase is likely too conservative. In a future climate 0.8°C warmer (reaching 2°C above pre-industrial levels), such a heatwave would be at least 1°C hotter.","ai_generated":true,"unit":"wwatt-000021#insight-4","date_modified":"2026-10-23"},{"text":"The heatwave occurred during a multi-year drought, threatening crop yields for wheat by hindering grain filling. The event also posed significant health risks; early heatwaves are particularly deadly due to lack of population acclimatisation and lower preparedness.","ai_generated":true,"unit":"wwatt-000021#insight-5","date_modified":"2026-10-23"}],"climate_tags":["heat wave","climate change","drought","agriculture","water scarcity","crop yield","urban heat island","urban planning","early warning system","climate modeling"],"geography_discussed":["Tunisia","Tunis","Lisbon","Sidi Slimane","Marrakech","Taroudant","Maghnia","Mascara-Ghriss"],"frame_perspective":[],"analysis_type":["attribution study"]},{"id":"climcent-000224","url":"https://climateinsightsdirectory.org/document/climcent-000224","title":"Winter Chill Brings Summer Fruit","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"research paper","language":"en","date_published":"2023-02-15","source_url":"https://www.climatecentral.org/climate-matters/winter-chill-brings-summer-fruit-2023","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"An analysis of 215 U.S. locations reveals that 84% have experienced a long-term decrease in winter chill since 1980. This trend threatens the $27 billion U.S. non-citrus fruit and nut industry, as many temperate trees require sustained cold temperatures to ensure proper flowering, pollination, and fruit yield. The study highlights significant chill decreases in key producing regions, particularly in California, Washington, and the Southeast, affecting high-value crops such as grapes, almonds, and strawberries.","ai_generated":true,"unit":"climcent-000224#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A significant majority of the 215 U.S. locations analyzed by Climate Central have seen a long-term decline in winter chill since 1980, with 181 locations (84%) experiencing this decrease.","ai_generated":true,"unit":"climcent-000224#insight-1","date_modified":"2026-10-23"},{"text":"Winter chill is essential for the U.S. non-citrus fruit and nut industry, which is valued at approximately $27 billion. Insufficient chilling can negatively impact the timing of pollination, bud break, and the overall quality or yield of the fruit.","ai_generated":true,"unit":"climcent-000224#insight-2","date_modified":"2026-10-23"},{"text":"The five most valuable non-citrus fruit and nut crops in the U.S.—grapes, almonds, strawberries, apples, and pistachios—account for $20 billion, representing 74% of the total $26.8 billion non-citrus fruit and nut market.","ai_generated":true,"unit":"climcent-000224#insight-3","date_modified":"2026-10-23"},{"text":"Decreasing winter chill is evident in several major production hubs for high-value crops: California's grape, almond, pistachio, and walnut regions (specifically Bakersfield, Fresno, and Stockton); California's strawberry hotspots (Salinas and Santa Maria); and the Tampa Area in Florida.","ai_generated":true,"unit":"climcent-000224#insight-4","date_modified":"2026-10-23"},{"text":"Other notable regional chill trends include decreases in apple-growing areas of New York (Rochester and Buffalo) and Pennsylvania (Harrisburg), as well as decreases in blueberry-producing areas of Washington, Oregon, Georgia (Savannah), and New Jersey (Atlantic City).","ai_generated":true,"unit":"climcent-000224#insight-5","date_modified":"2026-10-23"}],"climate_tags":["agriculture","climate impact","crop yield","climate change adaptation"],"geography_discussed":["California","Washington","Florida","Oregon","South Carolina","Georgia","New York","Michigan","Pennsylvania","New Jersey","New Mexico","Arizona","Texas","Oklahoma"],"frame_perspective":[],"analysis_type":["trend analysis","economic impact assessment"]},{"id":"sei-001020","url":"https://climateinsightsdirectory.org/document/sei-001020","title":"Impacts on global food trade networks","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2023-01-25","source_url":"https://www.sei.org/publications/impacts-on-global-food-trade-networks/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research analyzes how climate-induced crop yield changes between 2070 and 2099 may disrupt global food trade networks for wheat, rice, and maize. Using a network model, the study finds that maize trade is the least stable of the three crops and suggests that global food security will depend on production changes in major producers and the ability of trade communities to balance losses in vulnerable countries.","ai_generated":true,"unit":"sei-001020#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The stability of food trade network structures under climate change impacts varies by crop, with maize trade being the least stable.","ai_generated":true,"unit":"sei-001020#insight-1","date_modified":"2026-10-23"},{"text":"Global food security threats may be driven by production changes in a small number of major global producers and the capacity of trade communities to offset production and import losses in vulnerable nations.","ai_generated":true,"unit":"sei-001020#insight-2","date_modified":"2026-10-23"}],"climate_tags":["climate impact","crop yield","food security"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["projection","network analysis"]},{"id":"climcent-000073","url":"https://climateinsightsdirectory.org/document/climcent-000073","title":"Growing Degree Days","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"fact sheet","language":"en","date_published":"2022-03-09","source_url":"https://www.climatecentral.org/climate-matters/growing-degree-days","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Between 1970 and 2021, growing degree days (GDD)—a measure of heat accumulation used to track plant and pest development—increased at 97% of 246 analyzed stations across the contiguous U.S. The average increase was 525 GDD, with the most significant rises occurring in the West, Southwest, and South. While some plants may benefit, increased GDD is linked to higher water and heat stress, altered agricultural schedules, and longer pollen seasons that exacerbate health issues like asthma and hay fever.","ai_generated":true,"unit":"climcent-000073#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"From 1970 to 2021, growing degree days (GDD) increased at 97% of the 246 analyzed stations in the contiguous U.S., with an average increase of 525 GDD and an average annual rate of change of 10 additional GDD per year.","ai_generated":true,"unit":"climcent-000073#insight-1","date_modified":"2026-10-23"},{"text":"The most substantial increases in GDD were concentrated in the West, Southwest, and South. The five highest increases were recorded in Reno, Nev. (+1818), Las Vegas, Nev. (+1816), Tucson, Ariz. (+1585), El Paso, Texas (+1585), and Phoenix, Ariz. (+1537).","ai_generated":true,"unit":"climcent-000073#insight-2","date_modified":"2026-10-23"},{"text":"Increased GDD can lead to negative outcomes, including greater potential for water stress in plants due to increased evaporation, particularly in the West and Southwest, as well as heat stress and reduced crop productivity.","ai_generated":true,"unit":"climcent-000073#insight-3","date_modified":"2026-10-23"},{"text":"There is a correlation between higher GDD and the extension or earlier onset of pollen seasons for birch, oaks, and grasses, which may worsen economic losses and health conditions such as asthma and hay fever for millions of Americans.","ai_generated":true,"unit":"climcent-000073#insight-4","date_modified":"2026-10-23"}],"climate_tags":["agriculture","heat stress","public health","crop yield"],"geography_discussed":["West","Southwest","South","Reno","Las Vegas","Tucson","El Paso","Phoenix","Great Falls"],"frame_perspective":[],"analysis_type":["trend analysis"]},{"id":"sei-000552","url":"https://climateinsightsdirectory.org/document/sei-000552","title":"Impacts of land use, population and climate change on global food security","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2020-11-12","source_url":"https://www.sei.org/publications/impacts-of-land-use-population-and-climate-change-on-global-food-security/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research evaluates future food security using the FEEDME model, incorporating IPCC climate scenarios and Shared Socio-economic Pathways. The findings suggest that while climate change affects crop yields, population growth is the primary driver of undernourishment prevalence, with rapid population growth correlating with the worst food security outcomes.","ai_generated":true,"unit":"sei-000552#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Population growth is identified as the primary driver of changes in undernourishment prevalence, exerting a larger impact on future food insecurity than climate change scenarios, despite the latter's effect on crop yields.","ai_generated":true,"unit":"sei-000552#insight-1","date_modified":"2026-10-23"},{"text":"There is a direct correlation between population growth rates and food security levels, where countries with rapid growth experience the most severe impacts and those with decreasing growth show higher security.","ai_generated":true,"unit":"sei-000552#insight-2","date_modified":"2026-10-23"},{"text":"To prevent severe future food insecurity, the paper recommends strategies to mitigate population growth impacts, such as improving maternal health care, increasing national food access equality, closing the yield gap, and altering trade patterns.","ai_generated":true,"unit":"sei-000552#insight-3","date_modified":"2026-10-23"}],"climate_tags":["food security","climate variability","land-use change","crop yield"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["modelling"]},{"id":"sei-000887","url":"https://climateinsightsdirectory.org/document/sei-000887","title":"Climate Change Trader Risk Exposure","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2020-09-15","source_url":"https://www.sei.org/publications/climate-change-trader-risk-exposure/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The paper introduces a new approach to assess how individual commodity traders are exposed to long-term climate change risks by utilizing gridded crop yield projections and subnational supply chain data. Applying this method to the Brazilian soy sector, the authors find that risk exposure varies significantly between traders because of differences in their sourcing patterns, despite overall uncertainty in crop model yield projections.","ai_generated":true,"unit":"sei-000887#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The authors developed a method to assess the long-term climate change risk exposure of individual commodity traders by combining gridded crop yield projections with supply chain data that links subnational production to downstream actors.","ai_generated":true,"unit":"sei-000887#insight-1","date_modified":"2026-10-23"},{"text":"In the case of Brazilian soy production, the risk exposure of different trading actors varies substantially because their sourcing is heterogeneous, although predicting exact production effects remains difficult due to uncertainty across crop models' yield projections.","ai_generated":true,"unit":"sei-000887#insight-2","date_modified":"2026-10-23"},{"text":"The methodology used for Brazilian soy is scalable and can be applied to other crop and country combinations, as well as other downstream actors within the food system to address food security issues.","ai_generated":true,"unit":"sei-000887#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate risk","supply chain","crop yield","food security"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","methodological analysis"]},{"id":"iisd-003140","url":"https://climateinsightsdirectory.org/document/iisd-003140","title":"Integration of Climate Data in the SAVi Irrigation Model","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2020-09","source_url":"https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-irrigation-model.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details how climate indicators from the Copernicus Climate Data Store (CDS)—including precipitation, temperature, and evaporation—are integrated into the SAVi Irrigation model. It provides a literature review on the impacts of temperature and precipitation on crop yields and water requirements, establishes the methodology for calculating net and total irrigation requirements, and presents simulation results for Johannesburg under the IPSL RCP8.5 scenario, projecting a 23% increase in net irrigation requirements by 2090-2100.","ai_generated":true,"unit":"iisd-003140#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Global crop yields are negatively impacted by temperature increases, with the most significant average reductions occurring in maize (7.4%), wheat (6.0%), rice (3.2%), and soybean (3.1%) per degree-Celsius increase.","ai_generated":true,"unit":"iisd-003140#insight-1","date_modified":"2026-10-23"},{"text":"Temperature impacts on maize yields vary by country, with the highest reductions projected in the United States (-10.3 ± 5.4% per °C), followed by China (-8.0 ± 6.1% per °C), Brazil (-5.5 ± 4.5% per °C), and India (-5.2 ± 4.5% per °C).","ai_generated":true,"unit":"iisd-003140#insight-2","date_modified":"2026-10-23"},{"text":"In the semi-arid Qazvin Plateau in Iran, projections under RCP2.6 and RCP8.5 scenarios indicate that irrigation water requirements for winter wheat and barley will increase by 38%–79%, while fodder maize will see a slight increase of 0.7%–4.1%.","ai_generated":true,"unit":"iisd-003140#insight-3","date_modified":"2026-10-23"},{"text":"Solar-powered irrigation systems experience a decrease in efficiency of 0.45% for every 1°C increase in temperature above an optimal threshold of 28°C.","ai_generated":true,"unit":"iisd-003140#insight-4","date_modified":"2026-10-23"},{"text":"The SAVi Irrigation model integrates four primary climate indicators from the CDS: irrigation requirements per hectare, total irrigation requirements per hectare (including conveyance loss), indicated surface water supply, and indicated groundwater supply.","ai_generated":true,"unit":"iisd-003140#insight-5","date_modified":"2026-10-23"},{"text":"Simulation results for Johannesburg using the IPSL RCP8.5 scenario project that net irrigation requirements per hectare will increase by 23% by the 2090-2100 decade compared to the 1980-1990 baseline, representing an absolute increase of 88 mm per year.","ai_generated":true,"unit":"iisd-003140#insight-6","date_modified":"2026-10-23"},{"text":"Improving irrigation efficiency from 50% to 75% would result in a 63.5% net reduction in cumulative irrigation water use (reducing the difference between net and total requirements from 55,871 mm to 20,398 mm per hectare).","ai_generated":true,"unit":"iisd-003140#insight-7","date_modified":"2026-10-23"}],"climate_tags":["crop yield","precipitation"],"geography_discussed":["Johannesburg","Iran","United States","People's Republic of China","Brazil","India","France","Russia"],"frame_perspective":[],"analysis_type":["literature review","system dynamics modeling","climate scenario simulation"]},{"id":"iisd-003141","url":"https://climateinsightsdirectory.org/document/iisd-003141","title":"The Integration of Climate Data into the SAVi model","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2020-09","source_url":"https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-model.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details how climate indicators from the Copernicus Climate Data Store (CDS) are integrated into the SAVi tool to improve the analysis of infrastructure resilience. It covers a literature review of climate impacts on energy, irrigation, wastewater, buildings, roads, and nature-based infrastructure, providing specific equations to link climate variables to asset performance. The report includes simulation results for Johannesburg, South Africa, demonstrating how climate variables like temperature and precipitation affect load factors, thermal efficiency, and maintenance costs, ultimately impacting the economic viability and societal costs of these assets.","ai_generated":true,"unit":"iisd-003141#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Wind power generation is sensitive to wind speed; in Scotland, wind speed variations between -20 and +20 m/s impact turbine output by ranges from -26.06% to +13.66%.","ai_generated":true,"unit":"iisd-003141#insight-1","date_modified":"2026-10-23"},{"text":"Solar PV efficiency is negatively impacted by temperature; an increase of 1°C can decrease efficiency by up to 2% in some studies, while an increase of 1 unit (W/m2) of irradiance increases output by 5%.","ai_generated":true,"unit":"iisd-003141#insight-2","date_modified":"2026-10-23"},{"text":"Hydropower potential is highly sensitive to precipitation and river discharge, where a 1% change in these variables typically results in a 1% change in power generation.","ai_generated":true,"unit":"iisd-003141#insight-3","date_modified":"2026-10-23"},{"text":"Gas turbine power output decreases as ambient temperature rises; for every 1 Kelvin increase above ISO conditions, a turbine can lose 0.1% in thermal efficiency and 1.47 MW of gross power output.","ai_generated":true,"unit":"iisd-003141#insight-4","date_modified":"2026-10-23"},{"text":"Coal power plant load factors are negatively affected by moisture; a 1% increase in total moisture can reduce the plant load factor by 4%.","ai_generated":true,"unit":"iisd-003141#insight-5","date_modified":"2026-10-23"},{"text":"Nuclear power plant efficiency and output decrease with rising cooling water temperatures; an increase of 1°C can lead to a 0.12% to 0.16% decrease in thermal efficiency and a 0.39% to 0.45% decrease in net power output.","ai_generated":true,"unit":"iisd-003141#insight-6","date_modified":"2026-10-23"},{"text":"Electrical grid capacity and transformer efficiency decline with temperature; network capacity falls by approximately 1% for each 1°C increase.","ai_generated":true,"unit":"iisd-003141#insight-7","date_modified":"2026-10-23"},{"text":"Crop yields for major staples decrease with temperature increases: wheat by 6.0%, rice by 3.2%, maize by 7.4%, and soybean by 3.1% per 1°C increase in global mean temperature.","ai_generated":true,"unit":"iisd-003141#insight-8","date_modified":"2026-10-23"},{"text":"In Johannesburg, under the IPSL RCP 8.5 scenario, net irrigation requirements per hectare for maize are projected to increase by 23% by the 2090–2100 decade compared to 1980–1990.","ai_generated":true,"unit":"iisd-003141#insight-9","date_modified":"2026-10-23"},{"text":"Wastewater treatment nutrient removal is temperature-dependent; for nitrogen, a change of -1.5 to +5°C can impact removal efficiency by -6% per 1°C decrease in influent sewage temperature.","ai_generated":true,"unit":"iisd-003141#insight-10","date_modified":"2026-10-23"},{"text":"Rainwater harvesting potential in Johannesburg is significantly higher when using CDS climate data compared to constant seasonal values, with average annual yields of 3,068.6 litres/m2 versus 134.7 litres/m2.","ai_generated":true,"unit":"iisd-003141#insight-11","date_modified":"2026-10-23"},{"text":"Rooftop solar PV generation in Johannesburg is projected to decrease by 5.4% in load factor due to temperature increases, resulting in a cumulative reduction of 90.21 GWh over 80 years for 1 MW of capacity.","ai_generated":true,"unit":"iisd-003141#insight-12","date_modified":"2026-10-23"},{"text":"In Johannesburg, heating degree days (HDD) are forecasted to decline by 82% over 80 years, while cooling degree days (CDD) will increase from zero to 204 days per year.","ai_generated":true,"unit":"iisd-003141#insight-13","date_modified":"2026-10-23"},{"text":"Road maintenance costs increase with precipitation; for unpaved roads, maintenance costs increase by 0.8% for every 1% increase in maximum monthly precipitation.","ai_generated":true,"unit":"iisd-003141#insight-14","date_modified":"2026-10-23"},{"text":"Weather conditions increase road accident probability: a 100 mm increase in monthly rainfall increases probability by 0.2%–0.3%, and a 1°C increase in monthly temperature increases it by 1%–2%.","ai_generated":true,"unit":"iisd-003141#insight-15","date_modified":"2026-10-23"},{"text":"Urban green infrastructure can significantly reduce stormwater runoff; for example, green roofs in Chicago retained over 75% of the volume from a one-inch storm.","ai_generated":true,"unit":"iisd-003141#insight-16","date_modified":"2026-10-23"},{"text":"Vegetation cover reduces urban air temperatures; an average reduction of 1.635°C is observed for a 25% increase in vegetation cover.","ai_generated":true,"unit":"iisd-003141#insight-17","date_modified":"2026-10-23"},{"text":"In Johannesburg, increasing vegetation cover to 75% could potentially mitigate temperature-related labour productivity impacts entirely.","ai_generated":true,"unit":"iisd-003141#insight-18","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","wind power","photovoltaics","hydropower","nuclear power","geothermal energy","electric power transmission","agricultural irrigation","crop yield","wastewater treatment","urban flooding","energy efficient building","rainwater harvesting","urban heat island","carbon sequestration","climate finance"],"geography_discussed":["Scotland","Black Sea","Greece","United States","Brazil","Zambezi River Basin","Dubai","Saudi Arabia","Vietnam","India","Malaysia","France","Iran","Norway","People's Republic of China","Los Angeles","Guangzhou","Netherlands","Spain","Chicago","Milwaukee","Japan","London","Sweden"],"frame_perspective":[],"analysis_type":["literature review","technical integration","simulation","economic assessment"]},{"id":"clipolin-000754","url":"https://climateinsightsdirectory.org/document/clipolin-000754","title":"The Impacts of Rural Credit on Agricultural Outcomes and Land Use","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"en","date_published":"2020-03","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/03/PB-Impacts-of-Rural-Credit.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The analysis finds that rural credit for small farmers (specifically through PRONAF) increases crop and cattle productivity and reduces deforestation by converting pasture to cropland. Conversely, credit for large farmers and firms is associated with the expansion of both cropland and pasture, leading to higher deforestation. The document recommends that Brazilian policymakers prioritize small farmers in credit distribution to align subsidies with forest conservation goals.","ai_generated":true,"unit":"clipolin-000754#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rural credit for small farmers, particularly through the PRONAF program, increases both production and productivity while reducing deforestation pressures. A 1% increase in municipal PRONAF credit supply leads to a 0.10% increase in crop production productivity and a 0.14% increase in cattle productivity per hectare, while expanding crop area by 0.09% and decreasing pasture area by 0.12%, resulting in a 0.03 increase in forest area.","ai_generated":true,"unit":"clipolin-000754#insight-1","date_modified":"2026-10-23"},{"text":"Credit provided to large farmers and those organized as firms is associated with higher levels of deforestation. While this credit contributes to increased production and yields, it leads to the expansion of both cropland and pastures. For firms, a 1% increase in rural credit leads to a 0.02% increase in crop area and a 0.04% increase in pasture area.","ai_generated":true,"unit":"clipolin-000754#insight-2","date_modified":"2026-10-23"},{"text":"There is a significant disparity in the distribution of rural credit in Brazil. While PRONAF (the primary source for small farmers) represents 74% of the number of contracts, it only accounts for 14% of the credit amount and 16% of the area. In contrast, firms represent only 1% of producers but account for 29% of the credit amount and 85% of the area receiving credit.","ai_generated":true,"unit":"clipolin-000754#insight-3","date_modified":"2026-10-23"},{"text":"The impact of credit on production varies by the type of borrower; individual farmers experience increases in both production and productivity, whereas farming enterprises (firms) are not significantly affected, suggesting that firms are not financially constrained.","ai_generated":true,"unit":"clipolin-000754#insight-4","date_modified":"2026-10-23"},{"text":"Different uses of credit yield different outcomes: working capital and investment credits support both business expansion and improved yields for crops, while investment credit specifically increases cattle productivity (a 1% increase leads to a 0.19% increase in cattle productivity). Trade credit has no relevant impact on production or productivity.","ai_generated":true,"unit":"clipolin-000754#insight-5","date_modified":"2026-10-23"},{"text":"The document recommends that Brazil revise its rural credit policy to prioritize small farmers, as this aligns subsidies with national forest conservation efforts and addresses the needs of financially constrained producers.","ai_generated":true,"unit":"clipolin-000754#insight-6","date_modified":"2026-10-23"}],"climate_tags":["agricultural productivity","deforestation","forest conservation","land-use change","smallholder","crop yield"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["econometric analysis","policy evaluation"]},{"id":"sei-000842","url":"https://climateinsightsdirectory.org/document/sei-000842","title":"Modelling crop yield ozone","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2019-04-01","source_url":"https://www.sei.org/publications/modelling-crop-yield-ozone/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study finds that accelerated leaf senescence is the primary mechanism by which ozone pollution reduces crop yield, rather than direct impairment of photosynthesis in un-senesced leaves. It concludes that the Phytotoxic Ozone Dose (POD), based on stomatal O3 flux, is a more accurate predictor of physiological response than 24-hour mean concentrations or AOT40.","ai_generated":true,"unit":"sei-000842#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Accelerated leaf senescence is identified as the primary driver of ozone-induced yield loss in most agricultural settings, as negative effects on photosynthesis were only observed in conjunction with O3-induced senescence.","ai_generated":true,"unit":"sei-000842#insight-1","date_modified":"2026-10-23"},{"text":"The Phytotoxic Ozone Dose (POD), which simulates stomatal O3 flux using a multiplicative stomatal conductance model, outperformed both 24-hour mean concentrations and AOT40 (accumulated O3 exceeding 40 ppb during daylight hours) in predicting physiological responses.","ai_generated":true,"unit":"sei-000842#insight-2","date_modified":"2026-10-23"},{"text":"Experimental results from 2015 and 2016 involving two wheat cultivars showed that leaf senescence occurred earlier as average POD increased, though the two cultivars exhibited significantly different responses to this senescence.","ai_generated":true,"unit":"sei-000842#insight-3","date_modified":"2026-10-23"}],"climate_tags":["crop yield"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["experimental","modelling"]},{"id":"cdkn-000642","url":"https://climateinsightsdirectory.org/document/cdkn-000642","title":"The IPCC’s Special Report on Climate Change and Land","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":"2019","source_url":"https://cdkn.org/sites/default/files/files/IPCC-Land_S-Asia_WEB_20Nov2019.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the reciprocal relationship between climate change and land in South Asia, highlighting the region's high vulnerability to desertification and land degradation. It details how these processes act as 'threat multipliers' for poverty and food insecurity, specifically citing crop yield declines in India and Pakistan. The guide proposes integrated governance, sustainable land management (SLM), and gender-responsive policies as essential strategies for resilience. It emphasizes that while land-based mitigation (like afforestation) is valuable, it must be balanced with emissions reductions in other sectors to avoid increasing competition for land and jeopardizing food security.","ai_generated":true,"unit":"cdkn-000642#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change and land have a reciprocal influence; while climate change alters land cover, biodiversity, and nutrient cycles, land conditions—including human management like deforestation and urbanisation—affect regional climates and the frequency of extreme weather events.","ai_generated":true,"unit":"cdkn-000642#insight-1","date_modified":"2026-10-23"},{"text":"South Asia is highly vulnerable to desertification, with significant impacts already observed in India and Pakistan. In India, satellite mapping indicates 81.4 million hectares are suffering from desertification processes, and 7 million hectares are subject to salinisation.","ai_generated":true,"unit":"cdkn-000642#insight-2","date_modified":"2026-10-23"},{"text":"Global warming is actively reducing agricultural productivity in South Asia. Between 1981 and 2009, wheat yields in India decreased by 5.2% despite adaptation efforts, and in Pakistan, maize growing periods have shifted by several days per decade.","ai_generated":true,"unit":"cdkn-000642#insight-3","date_modified":"2026-10-23"},{"text":"Land degradation and climate change function as 'threat multipliers' for the most vulnerable, including women and youth. The World Bank projects an 18% reduction in the mean yields of 11 major global crops in South Asia by 2046–2055.","ai_generated":true,"unit":"cdkn-000642#insight-4","date_modified":"2026-10-23"},{"text":"Sustainable land management (SLM) and agroforestry can reverse degradation and provide positive economic returns, though adoption varies by household wealth. In South India, 97% of relatively rich households that adopted agroforestry continued the practice six to eight years later.","ai_generated":true,"unit":"cdkn-000642#insight-5","date_modified":"2026-10-23"},{"text":"Gender inequality and insecure property rights significantly hinder progress in sustainable land management. Women often face barriers to credit, agricultural advisory services, and decision-making power, despite possessing vital knowledge for adaptation.","ai_generated":true,"unit":"cdkn-000642#insight-6","date_modified":"2026-10-23"},{"text":"Integrated governance across sectors and scales is necessary to maximize the co-benefits of development and climate adaptation. This includes combining crop insurance, sustainable land management, and water infrastructure programmes.","ai_generated":true,"unit":"cdkn-000642#insight-7","date_modified":"2026-10-23"},{"text":"Relying solely on land-based mitigation, such as large-scale bioenergy crops or afforestation, can create dangerous competition for land, potentially jeopardizing food security and the Sustainable Development Goals.","ai_generated":true,"unit":"cdkn-000642#insight-8","date_modified":"2026-10-23"}],"climate_tags":["land degradation","desertification","food security","climate change adaptation","climate change mitigation","Sustainable land management","agroforestry","carbon sequestration","bioenergy","afforestation","gender equality","climate finance","crop yield"],"geography_discussed":["India","Pakistan","Bangladesh","Nepal","Afghanistan","World"],"frame_perspective":[],"analysis_type":["policy guide","regional assessment","synthesis of scientific reports"]},{"id":"sei-000794","url":"https://climateinsightsdirectory.org/document/sei-000794","title":"Closing the global ozone yield gap: quantification, co-benefits and multi-stress tolerance","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2018-08-07","source_url":"https://www.sei.org/publications/closing-global-ozone-yield-gap-quantification-cobenefits-multistress-tolerance/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study estimates that tropospheric ozone significantly reduces global yields for soybean, wheat, rice, and maize, with the highest losses occurring in regions already stressed by pests, heat, and nutrient deficiencies. It advocates for integrating ozone tolerance into crop breeding programmes and altering management approaches to close the 'ozone yield gap'.","ai_generated":true,"unit":"sei-000794#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Tropospheric ozone (based on 2010–2012 means) causes significant annual global yield reductions across four major crops, totaling 227 Tg of lost yield. The impact varies by crop, with soybean being the most sensitive and maize the least.","ai_generated":true,"unit":"sei-000794#insight-1","date_modified":"2026-10-23"},{"text":"The highest ozone-induced production losses are geographically concentrated: soybean losses are highest in North and South America; wheat in India and China; rice in parts of India, Bangladesh, China, and Indonesia; and maize in China and the United States.","ai_generated":true,"unit":"sei-000794#insight-2","date_modified":"2026-10-23"},{"text":"Regions suffering high ozone-induced crop losses frequently overlap with areas vulnerable to other abiotic and biotic stresses, including heat stress, pests, diseases, aridity, and nutrient stress.","ai_generated":true,"unit":"sei-000794#insight-3","date_modified":"2026-10-23"}],"climate_tags":["crop yield","food security"],"geography_discussed":["North America","South America","India","People's Republic of China","Bangladesh","Indonesia","United States"],"frame_perspective":[],"analysis_type":["quantitative analysis","modelling"]},{"id":"cdkn-000366","url":"https://climateinsightsdirectory.org/document/cdkn-000366","title":"Climate risk Caribbean prosperity","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"fact sheet","language":"en","date_published":"2017-02","source_url":"https://cdkn.org/sites/default/files/files/Awareness_tourism_agri_high_res_print_updated280417.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed"],"summary":{"text":"The Caribbean faced $33bn in natural disaster damages between 2000 and 2009, representing 61% of its 2014 regional GDP. Climate change threatens key sectors: 94% of tourist accommodation in Belize is vulnerable to sea level rise and flooding, while 90% of agricultural land is rain-fed. Projections indicate divergent crop impacts, with Jamaica's sweet potato yields potentially increasing by 33% by mid-century, while Belize's corn yields may decrease by 25% by 2030. Financial losses are widespread, with 25% of surveyed households using education savings for reconstruction.","ai_generated":true,"unit":"cdkn-000366#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Natural disasters and extreme weather events caused $33bn in damages to the Caribbean from 2000 to 2009, which is equivalent to 61% of the region's 2014 Gross Domestic Product.","ai_generated":true,"unit":"cdkn-000366#insight-1","date_modified":"2026-10-23"},{"text":"The tourism and agriculture sectors are highly exposed to climate risks. In Belize, 94% of tourist accommodation is vulnerable to flooding and sea level rise. In the agriculture sector, 90% of land is rain-fed and susceptible to rainfall changes, and 16% of the Caribbean population is employed in this sector.","ai_generated":true,"unit":"cdkn-000366#insight-2","date_modified":"2026-10-23"},{"text":"Climate change will have varied effects on crop yields by mid-century and 2030: sweet potato yields in Jamaica could increase by 33%, whereas corn yields in Belize may shrink by approximately 25%.","ai_generated":true,"unit":"cdkn-000366#insight-3","date_modified":"2026-10-23"}],"climate_tags":["natural disaster","sea level rise","coastal erosion","tourism industry","agriculture","crop yield","climate finance","agricultural irrigation"],"geography_discussed":["Guyana","Saint Lucia","Belize","Saint Vincent and the Grenadines","Jamaica"],"frame_perspective":[],"analysis_type":[]}]}