{"query_echo":{"q":"","filters":{"organization":["Climate and Development Knowledge Network"]},"warnings":[]},"total":{"value":1008,"relation":"eq"},"page":22,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?organization=climate-and-development-knowledge-network&page=22","next":"https://climateinsightsdirectory.org/api/v1/search?organization=climate-and-development-knowledge-network&page=23","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-000113","url":"https://climateinsightsdirectory.org/document/cdkn-000113","title":"Opportunities for support to System of Rice Intensification in Tanzania, Zambia and Malawi","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"briefing","language":"en","date_published":"2014-08-26","source_url":"https://cdkn.org/resource/opportunities-for-support-to-system-of-rice-intensification-in-tanzania-zambia-and-malawi","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags"],"summary":{"text":"The document identifies significant potential for increasing rice production in Tanzania, Zambia, and Malawi through the System of Rice Intensification (SRI), noting that SRI can often more than double yields compared to traditional methods. However, it highlights that these gains are frequently linked to broader improved management practices rather than SRI principles alone. Implementation is hindered by common constraints including low seed quality, poor irrigation, limited credit access, and a lack of specific national policies to promote SRI, although Tanzania incorporates it into its \"Big Result Now\" program.","ai_generated":true,"unit":"cdkn-000113#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rice production in Tanzania, Zambia, and Malawi is hindered by shared constraints, including low seed quality, poor soil fertility management, weed infestation, low yields, low technical capacity, and poorly functioning irrigation schemes.","ai_generated":true,"unit":"cdkn-000113#insight-1","date_modified":"2026-10-23"},{"text":"While the System of Rice Intensification (SRI) often results in more than double the yield of traditional cultivation, these increases are attributed not only to SRI principles but also to improved fertilization, weed control, and seed management.","ai_generated":true,"unit":"cdkn-000113#insight-2","date_modified":"2026-10-23"},{"text":"SRI is implemented on a very limited scale across the three countries, with no dedicated national policies for its promotion, except for its inclusion in Tanzania's \"Big Result Now\" program.","ai_generated":true,"unit":"cdkn-000113#insight-3","date_modified":"2026-10-23"}],"climate_tags":["agricultural productivity"],"geography_discussed":[],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000214","url":"https://climateinsightsdirectory.org/document/cdkn-000214","title":"Impact of climate change on Small Island Developing States","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"fact sheet","language":"en","date_published":"2014-08-20","source_url":"https://cdkn.org/resource/impact-of-climate-change-on-small-island-developing-states-infographic","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed"],"summary":{"text":"The document serves as an introduction to infographics created by the Climate and Development Knowledge Network (CDKN) and the Overseas Development Institute (ODI). These materials are derived from the IPCC Fifth Assessment Report (AR5) and are specifically intended to facilitate understanding and discussion regarding the impacts of climate change on Small Island Developing States.","ai_generated":true,"unit":"cdkn-000214#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Climate and Development Knowledge Network (CDKN) and the Overseas Development Institute (ODI) developed succinct guides and infographics based on the IPCC Fifth Assessment Report (AR5) for decision-makers in Small Island Developing States, Africa, and South Asia.","ai_generated":true,"unit":"cdkn-000214#insight-1","date_modified":"2026-10-23"}],"climate_tags":["climate change","Small Island Developing States"],"geography_discussed":["Africa","South Asia"],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000293","url":"https://climateinsightsdirectory.org/document/cdkn-000293","title":"How adaptation to climate change can reduce risk for small islands","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"fact sheet","language":"en","date_published":"2014-08-20","source_url":"https://cdkn.org/resource/how-adaptation-to-climate-change-can-reduce-risk-for-small-islands-infographic","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed"],"summary":{"text":"The document serves as an introduction to infographics created by the Climate and Development Knowledge Network (CDKN) and the Overseas Development Institute (ODI). These materials are based on the IPCC Fifth Assessment Report (AR5) and are specifically tailored for decision-makers in Small Island Developing States to illustrate how climate change adaptation can reduce risk.","ai_generated":true,"unit":"cdkn-000293#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Climate and Development Knowledge Network (CDKN) and the Overseas Development Institute (ODI) developed succinct guides and infographics based on the IPCC Fifth Assessment Report (AR5) to facilitate understanding and discussion for decision-makers in Small Island Developing States, Africa, and South Asia.","ai_generated":true,"unit":"cdkn-000293#insight-1","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","risk reduction"],"geography_discussed":["Africa","South Asia"],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000141","url":"https://climateinsightsdirectory.org/document/cdkn-000141","title":"The needs and requirements of (city)governments and international organisations for the monitoring of UPAF impacts and the use of such data in climate change strategies","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-08-14","source_url":"https://cdkn.org/resource/report-on-needs-and-requirements-of-citygovernments-and-international-organisations-such-as-the-world-bank-dfid-and-un-habitat-for-the-monitoring-of-upaf-impacts-and-the-use-of-such-data-in-cl","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines how urban and peri-urban agriculture and forestry (UPAF) are integrated into climate change action plans and the specific monitoring data required by city governments and international organisations to finance and implement these interventions. It highlights that climate change, combined with the loss of urban green cover, threatens infrastructure and quality of life, while rapid urban growth and climate-driven agricultural disruptions increase food insecurity for the urban poor.","ai_generated":true,"unit":"cdkn-000141#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change, coupled with a reduction in urban green cover such as parks, trees, and agricultural surfaces, creates significant threats to the urban economy, quality of life, access to basic services, and urban infrastructure.","ai_generated":true,"unit":"cdkn-000141#insight-1","date_modified":"2026-10-23"},{"text":"Urban areas face heightened vulnerability to disruptions in critical food supplies, a situation exacerbated by climate change and factors such as increasing food prices, growing urban poverty, and rapid urban growth.","ai_generated":true,"unit":"cdkn-000141#insight-2","date_modified":"2026-10-23"},{"text":"The report assesses the requirements for monitoring UPAF impacts to facilitate the integration of these interventions into climate change financing and action plans, as well as the current level of integration within international and local strategies.","ai_generated":true,"unit":"cdkn-000141#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate change mitigation","climate resilience","climate finance"],"geography_discussed":["Argentina","Sri Lanka","Rosario","Kesbewa"],"frame_perspective":[],"analysis_type":["needs assessment","policy review"]},{"id":"cdkn-000267","url":"https://climateinsightsdirectory.org/document/cdkn-000267","title":"The potential impacts of urban and peri-urban agriculture and forestry on climate change adaptation, mitigation and other co-developmental benefits","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-08-14","source_url":"https://cdkn.org/resource/potential-impacts-of-urban-and-peri-urban-agriculture-and-forestry-on-climate-change-adaptation-mitigation-and-other-co-developmental-benefits","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines Urban and Peri-urban Agriculture and Forestry (UPAF), defined as the production of trees, food, and other agricultural products within urban and peri-urban areas. It notes that while UPAF is expected to contribute to climate change adaptation and mitigation, there has been little analysis to determine which specific UPAF models are most effective for different city configurations.","ai_generated":true,"unit":"cdkn-000267#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Urban and Peri-urban Agriculture and Forestry (UPAF) encompasses a wide range of activities, including urban horticulture, livestock, (agro-) forestry, aquaculture, and associated processing and marketing, occurring in diverse locations such as rooftops, backyards, and flood-zones.","ai_generated":true,"unit":"cdkn-000267#insight-1","date_modified":"2026-10-23"},{"text":"There is a significant gap in research regarding the relationship between specific UPAF models, city configurations, and their resulting climate change impacts.","ai_generated":true,"unit":"cdkn-000267#insight-2","date_modified":"2026-10-23"}],"climate_tags":["urban agriculture","urban forestry","climate change adaptation","climate change mitigation","food system","agroforestry","aquaculture"],"geography_discussed":["Rosario","Argentina","Kesbewa Urban Council Area","Sri Lanka"],"frame_perspective":[],"analysis_type":["assessment"]},{"id":"cdkn-000209","url":"https://climateinsightsdirectory.org/document/cdkn-000209","title":"Financing Pathways for Low Emissions and Climate Resilient Development","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"research paper","language":"en","date_published":"2014-08-12","source_url":"https://cdkn.org/resource/financing-pathways-for-low-emissions-and-climate-resilient-development","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document proposes \"National Financing Pathways\" as a framework for developing countries to scale investment for low-emission and climate-resilient development. It emphasizes the need to balance social, economic, and environmental objectives within a \"national finance ecosystem\" shaped by policy, institutional frameworks, and risk perceptions. The paper draws on discussions with representatives from Chile, Colombia, and Peru to identify issues and tools for developing these pathways.","ai_generated":true,"unit":"cdkn-000209#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Transitioning the global economy to a 2°C trajectory requires a rapid change in investment patterns and a transformation of technology, infrastructure, and practices, necessitating new business and financing models.","ai_generated":true,"unit":"cdkn-000209#insight-1","date_modified":"2026-10-23"}],"climate_tags":["climate finance","sustainable development"],"geography_discussed":["Chile","Colombia","Peru"],"frame_perspective":[],"analysis_type":["conceptual framework","policy analysis"]},{"id":"cdkn-000081","url":"https://climateinsightsdirectory.org/document/cdkn-000081","title":"The employment assessment in Chiang Mai, Thailand","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2014-08-11","source_url":"https://cdkn.org/resource/employment-assessment-in-chiang-mai-thailand","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"A greenhouse gas inventory by the Chiang Mai Municipality identified the transportation sector as a priority for emission reductions, leading to a proposal for Non-Motorised Transport (NMT). Surveys at Three Kings Monument Square and the city moat indicate that domestic and foreign tourists support NMT as a means to promote tourism, reduce emissions, and create local jobs, provided that safety and facilities for cycling are improved. The brief recommends a phased implementation of bicycle routes, starting with a 607-meter stretch at Three Kings Monument Square and expanding to approximately 6,000 meters around the Chiang Mai moat, connecting hotels and major tourist destinations.","ai_generated":true,"unit":"cdkn-000081#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A greenhouse gas inventory conducted by the Chiang Mai Municipality indicated that reducing emissions from the transportation sector is essential for the city to lower its overall GHG emissions.","ai_generated":true,"unit":"cdkn-000081#insight-1","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","sustainable tourism","transport industry"],"geography_discussed":["Huế","Vietnam"],"frame_perspective":[],"analysis_type":["employment assessment","policy recommendation"]},{"id":"cdkn-000210","url":"https://climateinsightsdirectory.org/document/cdkn-000210","title":"Improving Adaptive Capacity of Small-Scale Rice Farmers: Comparative Analysis of Lao PDR and the Philippines","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-08-11","source_url":"https://cdkn.org/resource/small-scale-rice-farmers-comparative-analysis-of-lao-pdr-and-the-philippines","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags"],"summary":{"text":"The report examines the vulnerability of small-scale rice farmers in Lao PDR and the Philippines, focusing on two top rice-producing provinces in each country across three ecozones: irrigated lowland, rainfed lowland, and rainfed upland. In Lao PDR, agriculture is the primary livelihood, but production is low, poverty is high, and government risk management measures are limited. The Philippines faces increasing intensity and frequency of typhoons, averaging 20 per year, which threatens its large population and economic development.","ai_generated":true,"unit":"cdkn-000210#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rice production in Lao PDR and the Philippines is highly vulnerable to climate change due to its critical dependence on water supply.","ai_generated":true,"unit":"cdkn-000210#insight-1","date_modified":"2026-10-23"}],"climate_tags":["adaptive capacity","climate risk","food security"],"geography_discussed":[],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000219","url":"https://climateinsightsdirectory.org/document/cdkn-000219","title":"Garden houses for green tourism in Hue City, Vietnam","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-08-11","source_url":"https://cdkn.org/resource/garden-houses-for-green-tourism-in-hue-city-vietnam","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed"],"summary":{"text":"The document outlines a study on the traditional garden houses of Hue City, Vietnam, which are described as passive buildings designed for local climatic conditions. It notes a decline in the number of these houses from approximately 4,000 to 2,000 households and explores their potential for green tourism, income generation, and gender-specific employment opportunities. The research involved stakeholders including the local municipality, travel agencies, and residents, and was part of a SUMERNET research call on sustainable urban tourism and low-carbon initiatives.","ai_generated":true,"unit":"cdkn-000219#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Traditional garden houses in Hue City are examples of passive architecture designed to be harmonious with nature and local climatic conditions, but their number has decreased from approximately 4,000 households to 2,000.","ai_generated":true,"unit":"cdkn-000219#insight-1","date_modified":"2026-10-23"}],"climate_tags":["ecotourism","sustainable tourism"],"geography_discussed":["Chiang Mai","Thailand"],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000284","url":"https://climateinsightsdirectory.org/document/cdkn-000284","title":"Reducing Climate Risks for Rice Farmers in the Philippines","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2014-08-11","source_url":"https://cdkn.org/resource/reducing-climate-risks-for-rice-farmers-philippines","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate change risks, specifically typhoons and intense rain, are causing significant income losses for rice farmers in the Philippines' Pangasinan and Tarlac provinces. Future climate projections indicate shifting rainfall patterns that will further threaten agricultural sustainability, necessitating local government intervention.","ai_generated":true,"unit":"cdkn-000284#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rice farmers in the Pangasinan and Tarlac provinces identify typhoons and continuous intense rain as the most frequent climate-related hazards, which have resulted in farm income losses of 70-90 percent of the total value of losses for both upland and lowland rice farms.","ai_generated":true,"unit":"cdkn-000284#insight-1","date_modified":"2026-10-23"}],"climate_tags":["climate risk","climate change adaptation","food security","hurricane","rain"],"geography_discussed":["Laos"],"frame_perspective":[],"analysis_type":["risk assessment","climate projection"]},{"id":"cdkn-000314","url":"https://climateinsightsdirectory.org/document/cdkn-000314","title":"Community-based Measurement, Reporting and Verification System for REDD+","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2014-08-11","source_url":"https://cdkn.org/resource/community-based-carbon-measurement-and-monitoring-with-satellite-remote-sensing-redd","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags"],"summary":{"text":"The document discusses the need for robust measurement, reporting, and verification (MRV) systems for REDD+ activities in Lao PDR, Thailand, and Vietnam, emphasizing the integration of community-based participatory monitoring with satellite remote sensing and GIS to build local capacity and involvement.","ai_generated":true,"unit":"cdkn-000314#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Lao PDR, Thailand, and Vietnam are all engaged in REDD+ activities through various partnerships, including the World Bank Forest Carbon Partnership Facility (FCPF), the Climate Investment Fund’s Forest Investment Programme, and the UN-REDD Programme.","ai_generated":true,"unit":"cdkn-000314#insight-1","date_modified":"2026-10-23"},{"text":"The three countries identify the need for robust measurement, reporting, and verification (MRV) or evaluation systems, including monitoring, as well as a focus on REDD+ safeguards and capacity-building.","ai_generated":true,"unit":"cdkn-000314#insight-2","date_modified":"2026-10-23"}],"climate_tags":["Reducing emissions from deforestation and forest degradation","measurement, reporting, and verification","capacity building","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000031","url":"https://climateinsightsdirectory.org/document/cdkn-000031","title":"An inventory of greenhouse gas emissions from tourism related activities in Chiang Mai municipality, Thailand","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-08-08","source_url":"https://cdkn.org/resource/inventory-of-greenhouse-gas-emissions-from-tourism-chiang-mai-municipality-thailand","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies that tourism activities in Chiang Mai municipality emitted approximately 4.4 million tons of CO2 equivalent in 2011, with travel being the primary source of emissions and large hotels being the largest contributing business type.","ai_generated":true,"unit":"cdkn-000031#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2011, tourism sector activities in Chiang Mai municipality emitted approximately 4,417,510 tons of CO2 equivalent.","ai_generated":true,"unit":"cdkn-000031#insight-1","date_modified":"2026-10-23"},{"text":"Travel, encompassing visitors from other Thai cities and international locations, is the primary source of greenhouse gas emissions, accounting for 4,228,702 tons of CO2 equivalent.","ai_generated":true,"unit":"cdkn-000031#insight-2","date_modified":"2026-10-23"},{"text":"Among tourism businesses in Chiang Mai, large hotels are the highest emitters of greenhouse gases, followed by restaurants and local transportation.","ai_generated":true,"unit":"cdkn-000031#insight-3","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","sustainable tourism","tourism industry","Transportation emission"],"geography_discussed":["Huế","Vietnam"],"frame_perspective":[],"analysis_type":["inventory"]},{"id":"cdkn-000056","url":"https://climateinsightsdirectory.org/document/cdkn-000056","title":"An Inventory of Greenhouse Gas Emissions from Tourism related activities in Hue city, Vietnam","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-08-08","source_url":"https://cdkn.org/resource/inventory-of-greenhouse-gas-emissions-from-tourism-related-activities-hue-vietnam","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report inventories greenhouse gas emissions from tourism-related activities in Hue City, Vietnam, for the year 2011. To collect this data, the study utilized structured questionnaires and face-to-face interviews with fifty tourism-engaged entities of varying scales. The work was produced as part of the SUMERNET research call focusing on sustainable urban tourism and low-carbon initiatives in Hue and Chiang Mai.","ai_generated":true,"unit":"cdkn-000056#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 2011 greenhouse gas emissions inventory for tourism in Hue City was based on data collected from fifty tourism-related entities of different scales using face-to-face interviews and structured questionnaires.","ai_generated":true,"unit":"cdkn-000056#insight-1","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","sustainable tourism"],"geography_discussed":["Chiang Mai","Thailand"],"frame_perspective":[],"analysis_type":["inventory"]},{"id":"cdkn-000243","url":"https://climateinsightsdirectory.org/document/cdkn-000243","title":"Non-Motorised Transport in Greater Mekong Sub-Region (GMS)","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2014-08-08","source_url":"https://cdkn.org/resource/non-motorised-transport-in-greater-mekong-sub-region","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed"],"summary":{"text":"The document argues that rapid urbanisation and economic growth in the Greater Mekong Sub-Region have led to increased greenhouse gas emissions from the transport sector. It advocates for the planning of Non-Motorised Transport (NMT), specifically walking and cycling, to reduce emissions, provide health benefits, and enhance the touristic potential and livability of cities.","ai_generated":true,"unit":"cdkn-000243#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rapid economic growth in the Greater Mekong Sub-Region, with GDP averaging nearly 8% annually since the early 1990s, has driven rapid urbanisation in small-to-medium cities, which are significant sources of greenhouse gas emissions, particularly from the transport sector.","ai_generated":true,"unit":"cdkn-000243#insight-1","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","urbanization","sustainable tourism"],"geography_discussed":["Huế","Chiang Mai","Vietnam","Thailand"],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000252","url":"https://climateinsightsdirectory.org/document/cdkn-000252","title":"Getting climate smart for disasters","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2014-08-08","source_url":"https://cdkn.org/resource/climate-smart-for-disasters-brief","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags"],"summary":{"text":"The document outlines the Climate Smart Disaster Risk Management (CSDRM) approach, which is designed to identify barriers and opportunities for integrating climate change adaptation with disaster risk reduction (DRR). The approach serves as a guide for strategic planning and policymaking to assess the effectiveness of existing DRM policies under changing climate conditions. The project specifically analyzes two barriers to integration: the mismatched priorities between DRR institutions and the general public, and the necessity of diversified livelihoods to decrease climate dependency.","ai_generated":true,"unit":"cdkn-000252#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Climate Smart Disaster Risk Management (CSDRM) approach is used to identify barriers and opportunities for integrating climate change challenges with disaster risk reduction and development, as well as to identify policy innovation and monitor integration progress.","ai_generated":true,"unit":"cdkn-000252#insight-1","date_modified":"2026-10-23"}],"climate_tags":["disaster risk reduction","climate change adaptation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000024","url":"https://climateinsightsdirectory.org/document/cdkn-000024","title":"Integrating indigenous knowledge and scientific methods for flood risk analyses, responses and adaptation in rural coastal communities in Nigeria","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-08-06","source_url":"https://cdkn.org/resource/indigenous-knowledge-and-scientific-methods-for-flood-risk-analyses-responses-and-adaptation-rural-coastal-communities-nigeria","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags"],"summary":{"text":"The report examines the integration of indigenous flood forecasting with scientific tools in the Niger Delta of Nigeria. It details a project that deployed weather stations, flood gauges, and GIS-based risk maps across twenty villages to enhance local risk analysis and adaptation. Findings indicate that rural communities possess specific indigenous techniques for forecasting floods and are aware of the risks posed by sea level rise.","ai_generated":true,"unit":"cdkn-000024#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Coastal flooding in the Niger Delta is increasing in intensity, which threatens coastal wetlands and ecosystems and negatively impacts the food and livelihood security of thousands of rural communities.","ai_generated":true,"unit":"cdkn-000024#insight-1","date_modified":"2026-10-23"},{"text":"While rural communities in the Niger Delta use indigenous knowledge to forecast floods with some accuracy, this knowledge has not been integrated with scientific methods for risk analysis, contingency planning, or post-disaster management, particularly regarding agricultural production.","ai_generated":true,"unit":"cdkn-000024#insight-2","date_modified":"2026-10-23"},{"text":"The project implemented a participatory approach in twenty villages, installing weather stations and flood gauges in ten communities and introducing GIS-based flood risk maps to trained monitors to blend indigenous and scientific techniques.","ai_generated":true,"unit":"cdkn-000024#insight-3","date_modified":"2026-10-23"},{"text":"Research results confirm that each community possesses specific signs and techniques for forecasting various types and magnitudes of floods, and these communities are aware of and willing to adapt to the effects of sea level rise.","ai_generated":true,"unit":"cdkn-000024#insight-4","date_modified":"2026-10-23"}],"climate_tags":["coastal flood","traditional knowledge","climate change adaptation","sea level rise","food security","coastal management"],"geography_discussed":[],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000148","url":"https://climateinsightsdirectory.org/document/cdkn-000148","title":"Community-Based Adaptation Costing: An integrated framework for the participatory costing of community-based adaptations to climate change in agriculture","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"research paper","language":"en","date_published":"2014-08-06","source_url":"https://cdkn.org/resource/costing-integrated-framework-for-participatory-costing-of-community-based-adaptations-to-climate-change-in-agriculture","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed"],"summary":{"text":"The document introduces the Participatory Social Return on Investment (PSROI) framework, a bottom-up approach designed to provide credible local-level evidence for the costing of community-based adaptation (CBA) strategies in agriculture. It argues that top-down national estimates risk mismatching funds with actual ground requirements, whereas the PSROI framework uses participatory workshops and a novel cost-benefit analysis to evaluate economic, social, and environmental impacts. The framework was piloted in Kenya and Senegal to test its scalability and effectiveness.","ai_generated":true,"unit":"cdkn-000148#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Top-down national estimates of adaptation costs may lead to a mismatch between available funds and the actual requirements on the ground, necessitating bottom-up studies that consider microeconomic dynamics and community-appropriate strategies to improve planning and validate total cost assessments.","ai_generated":true,"unit":"cdkn-000148#insight-1","date_modified":"2026-10-23"}],"climate_tags":["Community based adaptation","agriculture"],"geography_discussed":["Kenya","Senegal","Kochiel","Othidhe","Dodji"],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000184","url":"https://climateinsightsdirectory.org/document/cdkn-000184","title":"Scaling up carbon finance through CDM Programmes of Activities: challenges for low-income household energy projects in South Africa","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"research paper","language":"en","date_published":"2014-08-06","source_url":"https://cdkn.org/resource/scaling-up-carbon-finance-through-cdm-programmes-of-activities-low-income-household-energy-projects-south-africa","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document examines the limitations of the Kyoto Protocol's Clean Development Mechanism (CDM), specifically its single-site approach, and evaluates the potential of Programmes of Activities (PoA) to better support household energy projects in low-income areas of South Africa.","ai_generated":true,"unit":"cdkn-000184#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Clean Development Mechanism (CDM) has been criticized for a lack of tangible sustainable development benefits and an uneven geographic distribution of projects.","ai_generated":true,"unit":"cdkn-000184#insight-1","date_modified":"2026-10-23"},{"text":"The successful implementation of Programmes of Activities (PoA) in developing countries depends on several factors: the creation of a suitable institutional framework, the development of local capacity, enhanced institutional learning regarding project development, and the harmonisation of carbon finance mechanisms.","ai_generated":true,"unit":"cdkn-000184#insight-2","date_modified":"2026-10-23"}],"climate_tags":["clean development mechanism","climate change mitigation","sustainable development"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy assessment","research paper"]},{"id":"cdkn-000207","url":"https://climateinsightsdirectory.org/document/cdkn-000207","title":"Safety Nets Simplified: Simulated Decision - Making in Volatile Developing Economies","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-08-06","source_url":"https://cdkn.org/resource/safety-nets-simplified-simulated-decision-making-in-volatile-developing-economies","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Tanzania Social Action Fund (TASAF) developed a simulation game to communicate the complexities of its productive social safety net (PSSN) program to rural farmers. This tool was designed to help farmers understand conditional cash transfers and how PSSN participation manages rising drought risk. Following tests with over fifty farmers, TASAF adopted the game in 2012 as the primary extension tool for a national rollout targeting 13 million Tanzanians living below the poverty line.","ai_generated":true,"unit":"cdkn-000207#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Tanzania Social Action Fund (TASAF) created a productive social safety net (PSSN) program specifically to help farmers manage the increasing risk of drought.","ai_generated":true,"unit":"cdkn-000207#insight-1","date_modified":"2026-10-23"},{"text":"To explain the PSSN's complex systems, including conditional cash transfers, TASAF developed and tested a simulation game with more than fifty rural farmers.","ai_generated":true,"unit":"cdkn-000207#insight-2","date_modified":"2026-10-23"},{"text":"In 2012, the simulation game became the only extension tool used for the national rollout of the program, which targets 13 million Tanzanians living below the poverty line.","ai_generated":true,"unit":"cdkn-000207#insight-3","date_modified":"2026-10-23"}],"climate_tags":["disaster risk reduction","climate change adaptation","food security","agriculture"],"geography_discussed":["East Africa","Africa","Nigeria","Cameroon","Benin","Uganda","Ethiopia","Botswana","Ghana","South Africa"],"frame_perspective":[],"analysis_type":["case study"]},{"id":"cdkn-000437","url":"https://climateinsightsdirectory.org/document/cdkn-000437","title":"IPCC AR5 – what it means for a stronger, more inclusive India","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2014-08-06","source_url":"https://cdkn.org/sites/default/files/files/CDKN-IPCC-India-launch-event-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The event, organized by TERI in cooperation with the IPCC and CDKN, focused on India's vulnerability to climate change and the need for urgent adaptation and mitigation. Key discussions highlighted the risk of increased monsoon intensity and decreased rainy days, the threat of climate change as a 'threat multiplier' for India's poor rural population, and the potential for low-carbon economic growth. Speakers emphasized the importance of science, technology, and energy efficiency, while noting that the global carbon budget has already been halved.","ai_generated":true,"unit":"cdkn-000437#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The IPCC AR5 indicates that half of the global carbon budget has already been exhausted, necessitating urgent action.","ai_generated":true,"unit":"cdkn-000437#insight-1","date_modified":"2026-10-23"},{"text":"Climate projections for India suggest that while the total volume of monsoon rains may increase, the number of rainy days will likely decrease and their intensity will increase. This, combined with higher night time temperatures, could negatively impact rice yields between 2081 and 2100.","ai_generated":true,"unit":"cdkn-000437#insight-2","date_modified":"2026-10-23"},{"text":"India's large, poor, and natural resource-dependent rural population faces non-climate stressors that are exacerbated by climate change, which acts as a 'threat multiplier'.","ai_generated":true,"unit":"cdkn-000437#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change","climate change adaptation","climate change mitigation","Low carbon development","energy efficiency","carbon budget","food security","climate finance","green growth","carbon capture and storage","carbon price"],"geography_discussed":["South Asia","Africa","New Delhi","Bihar","Punjab"],"frame_perspective":[],"analysis_type":["event summary"]}]}