{"query_echo":{"q":"","filters":{"geography":["Machadinho d'Oeste"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Machadinho d'Oeste' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Machadinho+d%27Oeste","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":"iai-000088","url":"https://climateinsightsdirectory.org/document/iai-000088","title":"Land use systems and livelihoods in demographically heterogeneous frontier stages in the Amazon","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":"2025-01-08","source_url":"https://iai.int/es/pub_acad/land-use-systems-and-livelihoods-in-demographically-heterogeneous-frontier-stages-in-the-amazon/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research utilizes a 25-year panel dataset from Machadinho, Brazil, to analyze the relationship between household demographics and land use choices during frontier development. The study finds that as frontiers integrate into markets, successful settlers are those who diversify their livelihood strategies, moving from subsistence agriculture to a mix of on- and off-farm activities. This diversification prevents long-term deprivation and eventually makes land use choices independent of household demographic dynamics in advanced stages of development.","ai_generated":true,"unit":"iai-000088#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Successful original settlers in the colonization frontier were those who diversified their livelihood strategies and capital portfolios to adapt to evolving local and regional market conditions.","ai_generated":true,"unit":"iai-000088#insight-1","date_modified":"2026-10-23"},{"text":"There is a transition from subsistence-based land use to diversified systems combining on-farm and off-farm activities, which helps prevent households from entering long-term deprivation trajectories as frontiers become more urban and market-oriented.","ai_generated":true,"unit":"iai-000088#insight-2","date_modified":"2026-10-23"},{"text":"In the advanced stages of frontier development, land use choices become progressively independent of household demographic dynamics.","ai_generated":true,"unit":"iai-000088#insight-3","date_modified":"2026-10-23"}],"climate_tags":["land use"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["longitudinal study","cohort analysis"]},{"id":"iai-000490","url":"https://climateinsightsdirectory.org/document/iai-000490","title":"Condiciones ambientales afectan salud humana en la selva amazónica","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"fact sheet","language":"es","date_published":null,"source_url":"https://iai.int/admin/site/sites/default/files/CRN3036_PB_SP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The LUCIA project developed a computational Agent-Based Model (MBA) to simulate malaria transmission by accounting for the interactions between mosquitoes, parasites, and humans. Validated in regions of Brazil, Ecuador, and Peru, the model demonstrates that land-use changes—such as deforestation, mining, and agricultural expansion—combined with climate factors like river flooding, increase human vulnerability to malaria. Findings indicate that risk is higher for isolated homes on the outskirts of populations compared to central areas. The research suggests that managing larval breeding sites within 200 meters of populations can eliminate disease transmission, and notes that Ecuador has already modified its mining policies as a result.","ai_generated":true,"unit":"iai-000490#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Environmental changes, including climate change, migration, and land-use shifts caused by urbanization, road construction, and deforestation for agricultural and commercial expansion, facilitate the spread of vector-borne infectious diseases.","ai_generated":true,"unit":"iai-000490#insight-1","date_modified":"2026-10-23"},{"text":"An Agent-Based Model (MBA) successfully reproduced spatiotemporal variations of malaria transmission in low-endemicity environments characterized by river flooding in the Amazon regions of Brazil, Ecuador, and Peru.","ai_generated":true,"unit":"iai-000490#insight-2","date_modified":"2026-10-23"},{"text":"The model was validated in three specific western Amazon areas: northeast Ecuador (mining, indigenous populations, and settlers), Machadinho, Brazil (agricultural expansion and deforestation), and Madre de Dios, Peru (gold mining and deforestation).","ai_generated":true,"unit":"iai-000490#insight-3","date_modified":"2026-10-23"},{"text":"Research in Padre Cocha, Peru, between 1996 and 1998, showed that residents in the center of the population far from rivers face low risk, while isolated houses on the outskirts are more susceptible to malaria.","ai_generated":true,"unit":"iai-000490#insight-4","date_modified":"2026-10-23"},{"text":"Simulations indicate that eliminating larval breeding sites within an area of more than 200 meters around a population can lead to the disappearance of disease transmission; this research has already influenced changes in Ecuador's mining policies.","ai_generated":true,"unit":"iai-000490#insight-5","date_modified":"2026-10-23"}],"climate_tags":["malaria","land use","climate change","deforestation","vector-borne disease","mining","public health"],"geography_discussed":["Machadinho d'Oeste","Madre de Dios Department","Padre Cocha"],"frame_perspective":[],"analysis_type":["computational modeling","empirical validation"]}]}