{"query_echo":{"q":"","filters":{"geography":["Assam"]},"warnings":[]},"total":{"value":43,"relation":"eq"},"page":3,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Assam&page=3","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-000681","url":"https://climateinsightsdirectory.org/document/wri-000681","title":"Sustainable Development Impacts of Renewable Power: Insights from Three Indian States","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.wri.org/research/sustainable-development-impacts-renewable-power-insights-three-indian-states","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The analysis evaluates the economic rate of return (ERR) for solar photovoltaic, small hydropower, and wind energy across three Indian states, incorporating health, water, land, and climate impacts against a coal baseline. It finds that most assessed technologies justify public investment based on an 8 percent social discount rate, with the highest returns occurring in Maharashtra.","ai_generated":true,"unit":"wri-000681#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The economic rate of return (ERR) varied by state and technology, with Maharashtra showing the highest returns across all assessed technologies. Within individual states, the highest returns were found in wind for Maharashtra, solar PV in Jharkhand, and small hydropower in Assam.","ai_generated":true,"unit":"wri-000681#insight-1","date_modified":"2026-10-23"},{"text":"When measured against a social discount rate of 8 percent, all evaluated renewable energy technologies provided a high enough return to justify public investment, with the sole exception of solar PV in Assam.","ai_generated":true,"unit":"wri-000681#insight-2","date_modified":"2026-10-23"},{"text":"ERR estimates are significantly influenced by local conditions, including weather, water scarcity, land-use patterns, and population.","ai_generated":true,"unit":"wri-000681#insight-3","date_modified":"2026-10-23"}],"climate_tags":["photovoltaics","small hydro","wind power","climate impact"],"geography_discussed":["India"],"frame_perspective":[],"analysis_type":["economic assessment","comparative analysis"]},{"id":"wwf-000117","url":"https://climateinsightsdirectory.org/document/wwf-000117","title":"How tracking wildlife with collars helps animals—and people","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/resources/explainers/how-tracking-wildlife-with-collars-helps-animalsand-people/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The document describes the application of GPS and satellite collars to track wildlife, providing specific examples of how this data reveals migration patterns, identifies critical movement corridors, and helps mitigate conflict between humans and animals. It highlights cases involving zebras, hyenas, lions, and elephants in Africa and Asia to demonstrate how tracking informs conservation strategies and promotes coexistence.","ai_generated":true,"unit":"wwf-000117#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Satellite tracking of plains zebras between Namibia and Botswana revealed a previously unknown annual migration of 5,000 to 10,000 animals covering 150 miles; however, data from a decade later suggests climate-driven drought may be disrupting these patterns, resulting in fewer animals and less synchronized movements.","ai_generated":true,"unit":"wwf-000117#insight-1","date_modified":"2026-10-23"},{"text":"Tracking data from a spotted hyena (SH2) that traveled over 4,000 miles in nine months suggests that parts of central Namibia may be functionally empty of the species due to the use of poison and snares.","ai_generated":true,"unit":"wwf-000117#insight-2","date_modified":"2026-10-23"},{"text":"Lion collars provide data on movement and dispersal that allows researchers to identify wildlife corridors and provides communities with advance warnings to move livestock to safety when lions approach villages.","ai_generated":true,"unit":"wwf-000117#insight-3","date_modified":"2026-10-23"},{"text":"In the Kavango Zambezi Transfrontier Conservation Area (KAZA), elephant tracking data has shown that female herds rarely cross veterinary fences and that 'micro-corridors' through dense human settlements are critical for movement.","ai_generated":true,"unit":"wwf-000117#insight-4","date_modified":"2026-10-23"},{"text":"In the Sonitpur district of Assam, India, GPS collars on Asian elephants are being used to understand how they navigate fragmented landscapes of tea plantations, crop fields, and forests to develop strategies for managing human-elephant conflict.","ai_generated":true,"unit":"wwf-000117#insight-5","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Namibia","Botswana","Zambia","Kavango–Zambezi Transfrontier Conservation Area","India","Assam","Sonitpur district"],"frame_perspective":[],"analysis_type":["case study"]},{"id":"wwf-000904","url":"https://climateinsightsdirectory.org/document/wwf-000904","title":"PROTECTING WILDLIFE FOR A HEALTHY PLANET Progress Report","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/documents/369/9tam6fyjc5_285888_WWF_Legacy_Report_2024_p3.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report details various wildlife conservation initiatives, including the restoration of plains bison in the Northern Great Plains of North America and the monitoring of elephant populations in southern Africa's KAZA region. It highlights population increases for tigers in India and Bhutan, as well as the use of environmental DNA (eDNA) and air-sampling technology to monitor rare species and combat illegal wildlife trafficking.","ai_generated":true,"unit":"wwf-000904#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Since 2014, WWF has collaborated with Native Nations in the Northern Great Plains to restore grassland ecosystems and return plains bison to traditional homelands, recently hosting a 'Returning Buffalo with Native Nations Roundtable' to improve federal agency support for Tribal restoration approaches.","ai_generated":true,"unit":"wwf-000904#insight-1","date_modified":"2026-10-23"},{"text":"Tiger populations have seen significant growth, with India reporting a population exceeding 3,100 tigers, an increase from approximately 1,400 in 2010, and Bhutan reporting a 27% increase since 2015.","ai_generated":true,"unit":"wwf-000904#insight-2","date_modified":"2026-10-23"},{"text":"A coordinated survey of the Kavango Zambezi Transfrontier Conservation Area (KAZA) across Angola, Botswana, Namibia, Zambia, and Zimbabwe, released in August 2023, estimated a stable and slightly larger elephant population of 227,900, with increases noted in Angola, Botswana, Namibia, and Zimbabwe, though numbers decreased in Zambia.","ai_generated":true,"unit":"wwf-000904#insight-3","date_modified":"2026-10-23"},{"text":"In Assam, India, WWF and partners are monitoring rhino health through hormone and parasite analysis in dung samples from Orang and Kaziranga National Parks, and using the RhODIS DNA profiling database to track genetic health, having added 350 rhinos to the database.","ai_generated":true,"unit":"wwf-000904#insight-4","date_modified":"2026-10-23"},{"text":"WWF is implementing advanced technologies for biodiversity monitoring and anti-trafficking, including environmental DNA (eDNA) to locate rare species like the Sumatran rhino and a low-cost air sampling prototype for sniffer dogs that achieved over 90% accuracy in detecting elephant ivory and shark fin without opening shipping containers.","ai_generated":true,"unit":"wwf-000904#insight-5","date_modified":"2026-10-23"}],"climate_tags":["biodiversity"],"geography_discussed":["Northern Great Plains","India","Bhutan","Kavango–Zambezi Transfrontier Conservation Area","Angola","Botswana","Namibia","Zambia","Zimbabwe","Assam","Mekong River","Thailand","Myanmar","Laos","Arctic","United States","Brazil","Indonesia","Nepal"],"frame_perspective":[],"analysis_type":["progress report"]}]}