{"query_echo":{"q":"","filters":{"analysis_type":["land-use analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'land-use analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=land-use+analysis","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":"seforall-000089","url":"https://climateinsightsdirectory.org/document/seforall-000089","title":"Chilling Prospects 2022: Urban land-use and heat analysis in major cities of the Critical 9 countries","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"report","language":"en","date_published":"2022-05-17","source_url":"https://www.seforall.org/data-stories/urban-land-use-and-heat-analysis","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The analysis examines how the expansion of built-up areas at the expense of natural heat sinks like green spaces and water bodies increases urban heat risks in major cities across the Critical 9 countries. Using Copernicus Land Monitoring Service data and the IPCC's SSP1-1.9 scenario, the report details specific land-use losses in cities such as Shanghai, Karachi, and Dhaka, linking these changes to increased vulnerability to dangerous heat days (above 35°C) and rising energy demands for active cooling.","ai_generated":true,"unit":"seforall-000089#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Shanghai experienced the largest increase in built-up area among the analyzed cities in the Critical 9 countries between 2015 and 2019, adding 8.96 square kilometers. This growth occurred alongside losses of 3.48 square kilometers of cultivated and managed vegetation and 3.38 square kilometers of open forest.","ai_generated":true,"unit":"seforall-000089#insight-1","date_modified":"2026-10-23"},{"text":"In Karachi, while the built-up area grew by 6.63 square kilometers between 2015 and 2019, there was a simultaneous and much larger increase in land used for cultivating produce, which grew by 213 square kilometers, potentially improving food security.","ai_generated":true,"unit":"seforall-000089#insight-2","date_modified":"2026-10-23"},{"text":"Dhaka's urban expansion between 2015 and 2019 added 0.93 square kilometers of built-up area, displacing 0.44 square kilometers of cultivated and managed vegetation, 0.27 square kilometers of herbaceous vegetation, and 0.1 square kilometers of herbaceous wetland.","ai_generated":true,"unit":"seforall-000089#insight-3","date_modified":"2026-10-23"},{"text":"Rapid urbanization in São Paulo has increased the population of informal settlements (favelas), which are often built to low standards on flood-prone or marshy land, leaving residents highly vulnerable to projected dangerous heat days (above 35°C) between September and November.","ai_generated":true,"unit":"seforall-000089#insight-4","date_modified":"2026-10-23"},{"text":"Mumbai's migration-driven growth has expanded informal settlements, such as the Dharavi slum with over 1 million residents, who face extreme vulnerability with projections of at least 15 days of dangerous heat per month from March to June.","ai_generated":true,"unit":"seforall-000089#insight-5","date_modified":"2026-10-23"},{"text":"Jakarta's increase of 0.87 square kilometers of built-up area between 2015 and 2019 included the removal of 0.14 square kilometers of open forest, which is expected to exacerbate the Urban Heat Island Effect and increase energy demand for cooling.","ai_generated":true,"unit":"seforall-000089#insight-6","date_modified":"2026-10-23"}],"climate_tags":["urban heat island","land-use change","urbanization","passive cooling","nature-based solutions","food security","urban resilience","informal housing","energy demand"],"geography_discussed":["Bangladesh","Dhaka","Indonesia","Jakarta","Pakistan","Karachi","Nigeria","Lagos","Mozambique","Maputo","India","Mumbai","Sudan","Omdurman","Brazil","São Paulo","People's Republic of China","Shanghai"],"frame_perspective":[],"analysis_type":["land-use analysis","climate projection"]},{"id":"sei-002110","url":"https://climateinsightsdirectory.org/document/sei-002110","title":"Abastecimiento de agua rural en Chiquitania","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"es","date_published":"2022-05","source_url":"https://www.sei.org/wp-content/uploads/2022/05/220122a-burton-mautner-atajados-fact-sheet-2114b-espanol-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines how agricultural expansion and urban development in the Chiquitano dry forest region of Bolivia are altering water resources. It highlights the proliferation of 'atajados' (artificial ponds) and groundwater wells, noting that these decentralized systems are often unregulated and not captured in current hydrological models. The authors argue that these changes reduce deep infiltration and base flow, potentially threatening downstream ecosystems and water users, drawing a parallel to similar unregulated water diversions in Northern California.","ai_generated":true,"unit":"sei-002110#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Chiquitano dry forest is threatened by mega-fires and deforestation, primarily driven by rapid land-use changes for agricultural and urban purposes, which place pressure on surface and groundwater resources.","ai_generated":true,"unit":"sei-002110#insight-1","date_modified":"2026-10-23"},{"text":"Hydrological modeling of basins covering the Chiquitano dry forest from 1980 to 2015 shows an average annual flow of 1,677 m³/s, with a peak of 5,220 m³/s in February and a low of 198 m³/s in September.","ai_generated":true,"unit":"sei-002110#insight-2","date_modified":"2026-10-23"},{"text":"Agricultural expansion is significantly increasing deforestation; in the San Ignacio de Velasco district, annual deforestation rates rose from 30 km² in 2005 to 210 km² in 2018.","ai_generated":true,"unit":"sei-002110#insight-3","date_modified":"2026-10-23"},{"text":"Research identified 31.6 million m³ of water in unlined artificial storage ponds, mostly used for livestock, which represents 18.7% of the total natural flow of the surveyed basins during the driest month and is currently missing from regional hydrological models.","ai_generated":true,"unit":"sei-002110#insight-4","date_modified":"2026-10-23"},{"text":"Groundwater extraction is increasing, with 361 wells identified in sampled communities; over half were drilled since 2000, and more than a third of the 146 electric pump wells (with an estimated capacity of 257,437 m³/month) were drilled in the last 10 years.","ai_generated":true,"unit":"sei-002110#insight-5","date_modified":"2026-10-23"},{"text":"The construction of artificial ponds (atajados) and agricultural clearing reduce deep infiltration and base flow while increasing surface runoff, which can lead to excessively low base flows during the dry season and negatively impact downstream users and ecosystems.","ai_generated":true,"unit":"sei-002110#insight-6","date_modified":"2026-10-23"},{"text":"Local and departmental authorities currently do not regulate groundwater use, and there is a need for legislation informed by the impacts of surface water diversions and increased groundwater extraction.","ai_generated":true,"unit":"sei-002110#insight-7","date_modified":"2026-10-23"}],"climate_tags":["deforestation","water management","land-use change"],"geography_discussed":["San Ignacio de Velasco","California"],"frame_perspective":[],"analysis_type":["hydrological assessment","land-use analysis"]}]}