{"query_echo":{"q":"","filters":{"climate_tags":["central asia"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'central asia' for facet 'climate_tags' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?climate_tags=central+asia","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":"cdkn-000534","url":"https://climateinsightsdirectory.org/document/cdkn-000534","title":"Climate Risk Assessment Guide – Central Asia","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":"2013-07","source_url":"http://cdkn.org/wp-content/uploads/2013/08/Climate-Risk-Assessment-Guide.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Climate Risk Assessment Guide – Central Asia is a practical manual designed to assess the impacts of climate-related events on lives and livelihoods in Central Asia. It provides a structured methodology to downscale climate risk understanding to sub-national and community levels, bridging the gap between long-term climate change modeling and immediate disaster risk assessment. The guide emphasizes a combination of impact-based assessments (using monetary damage and livelihood capital scoring) and perception-based surveys to inform sustainable risk management and policy development.","ai_generated":true,"unit":"cdkn-000534#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The guide identifies a critical need to 'downscale the understanding of climate impacts' to sub-national and community levels because existing national reports are often too broad to guide practical local action and resource prioritization.","ai_generated":true,"unit":"cdkn-000534#insight-1","date_modified":"2026-08-17"},{"text":"Climate-related hazards in Central Asia are categorized into three types: Direct (e.g., heavy rainfall, extreme heat), Consequent (e.g., flooding, landslides, glacial lake outbursts), and Contributory (e.g., food and water shortages, resource-related conflict).","ai_generated":true,"unit":"cdkn-000534#insight-2","date_modified":"2026-08-17"},{"text":"The methodology utilizes a modified Sustainable Livelihoods Framework to assess impacts across six types of capital: Human, Natural, Social, Financial, Physical, and Political. Political capital was specifically added to account for the role of governance in risk management.","ai_generated":true,"unit":"cdkn-000534#insight-3","date_modified":"2026-08-17"},{"text":"Risk is quantified through two primary lenses: monetary value of expected physical damage per capita for specific hazard frequencies, and a qualitative 'livelihood impact score' derived from a consensus-based adaptation of the Delphi technique.","ai_generated":true,"unit":"cdkn-000534#insight-4","date_modified":"2026-08-17"},{"text":"The guide stresses the importance of perception-based assessments, noting that gaps between objective data and local perceptions can lead to risk management efforts that lack local support or fail to address actual societal concerns.","ai_generated":true,"unit":"cdkn-000534#insight-5","date_modified":"2026-08-17"},{"text":"Cross-cutting issues such as age and gender are integrated into the process, requiring that data be disaggregated to identify how risks differently affect children, the elderly, men, and women.","ai_generated":true,"unit":"cdkn-000534#insight-6","date_modified":"2026-08-17"},{"text":"The guide employs a 'six-pack approach' to data collection, prioritizing only data clearly relevant to specific risk parameters to maintain efficiency given the limitations of data availability and resources in Central Asia.","ai_generated":true,"unit":"cdkn-000534#insight-7","date_modified":"2026-08-17"},{"text":"Geographic Information Systems (GIS) are used as the analytical platform to overlay layers of baseline, hazard, damage, and socio-economic data, though the accuracy is limited by the smallest scale of the data used (approximately 10 km for land use).","ai_generated":true,"unit":"cdkn-000534#insight-8","date_modified":"2026-08-17"},{"text":"Future risk outcomes are projected using simple scenario-based calculations in spreadsheets, such as comparing a baseline of population-linked damage growth against scenarios of successful damage reduction.","ai_generated":true,"unit":"cdkn-000534#insight-9","date_modified":"2026-08-17"},{"text":"A 'willingness to pay' survey is used to gauge the perceived importance of climate risks; preliminary results from Kyrgyzstan indicated that many respondents prioritize other needs (e.g., livestock, education) over climate risk management.","ai_generated":true,"unit":"cdkn-000534#insight-10","date_modified":"2026-08-17"}],"climate_tags":["climate risk assessment","central asia","disaster risk management","sustainable livelihoods","sub-national planning","climate adaptation"],"geography_discussed":["Batken Oblast","Chui Oblast","Talas Oblast"],"frame_perspective":[],"analysis_type":["Methodological Guide","Risk Framework","Capacity Building"]}]}