{"query_echo":{"q":"","filters":{"analysis_type":["spatiotemporal analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'spatiotemporal analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":6,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=spatiotemporal+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":"sei-000069","url":"https://climateinsightsdirectory.org/document/sei-000069","title":"Modeling Carbon Sequestration in Manipur, India using InVEST","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2025-09-29","source_url":"https://www.sei.org/publications/modeling-carbon-sequestration-manipur-india-invest/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study uses satellite data and the InVEST model to analyze carbon sequestration in the Senapati district of Manipur, India, comparing a 'Business as Usual' (BAU) scenario with an 'Environmentally Sound Planning' (ESP) scenario for 2029. It finds that the ESP scenario significantly reduces both dense forest loss and carbon storage decrease compared to the BAU scenario, with the estimated value of carbon sequestration under ESP reaching USD 1,151 million.","ai_generated":true,"unit":"sei-000069#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Comparing 2029 predictions to 1999 levels, the Business as Usual (BAU) scenario predicts a loss of approximately 13% of dense forest, whereas the Environmentally Sound Planning (ESP) scenario reduces this loss to 9.9%.","ai_generated":true,"unit":"sei-000069#insight-1","date_modified":"2026-10-23"},{"text":"The projected decrease in carbon storage is significantly higher under the BAU scenario (3209.24 Mg C) than under the ESP scenario (888.39 Mg C).","ai_generated":true,"unit":"sei-000069#insight-2","date_modified":"2026-10-23"},{"text":"The economic value of carbon sequestration in the Senapati district is estimated at USD 1,151 million under the ESP scenario, suggesting economic advantages to community-involved conservation.","ai_generated":true,"unit":"sei-000069#insight-3","date_modified":"2026-10-23"}],"climate_tags":["carbon sequestration","climate change mitigation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["spatiotemporal analysis","predictive modeling","economic valuation"]},{"id":"iai-000143","url":"https://climateinsightsdirectory.org/document/iai-000143","title":"Translating fire impacts in southwestern Amazonia into economic costs","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":"2025-01-11","source_url":"https://iai.int/es/pub_acad/translating-fire-impacts-in-southwestern-amazonia-into-economic-costs/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research assesses the economic and environmental costs of forest fires in Acre, Brazil, finding that an extreme drought in 2010 caused burned areas to be 16 times larger than in normal years, resulting in economic losses of approximately US$ 243.36 million, or 7.03% of the state's GDP.","ai_generated":true,"unit":"iai-000143#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2008 and 2012, forest fires in Acre were typically concentrated near roads and major cities in polygons up to 0.6 km2, but the extreme drought of 2010 caused fires to spread into remote areas, including sustainable-use conservation areas and protected private areas.","ai_generated":true,"unit":"iai-000143#insight-1","date_modified":"2026-10-23"},{"text":"The total area affected by forest fires in 2010 was approximately 16 times larger than the area affected during meteorologically normal years.","ai_generated":true,"unit":"iai-000143#insight-2","date_modified":"2026-10-23"},{"text":"Economic losses from fires in Acre totaled US$ 307.46 ± 85.41 million for the 2008-2012 period, representing 9.07 ± 2.46% of the state's GDP. Specifically, in 2010, losses were estimated at US$ 243.36 ± 85.05 million, which accounted for 7.03 ± 2.45% of the GDP.","ai_generated":true,"unit":"iai-000143#insight-3","date_modified":"2026-10-23"}],"climate_tags":["forest fire","drought","carbon dioxide emissions","economic loss"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["economic assessment","spatiotemporal analysis"]},{"id":"sei-000989","url":"https://climateinsightsdirectory.org/document/sei-000989","title":"Land Use Transitions and Carbon Sequestration in the Lower Songkhram River Basin (LSRB)","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2024-07-18","source_url":"https://www.sei.org/publications/land-use-transitions-carbon-sequestration-lsrb/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study evaluates carbon storage in Thailand's Lower Songkhram River Basin, projecting that a conservation scenario by 2040 would increase carbon storage to 25.63 Tg C and flooded forests by 12.8%, whereas a business-as-usual scenario would result in a 39.8% loss of flooded forests and a decrease in carbon storage to 19.43 Tg C. The economic value of carbon sequestration under the conservation scenario is estimated at approximately USD 782 million, supporting the implementation of Payment for Ecosystem Services (PES) and REDD+.","ai_generated":true,"unit":"sei-000989#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Future projections for the Lower Songkhram River Basin show contrasting outcomes based on land use management: a business-as-usual (BAU) scenario predicts a 39.8% loss in flooded forests and urban and agricultural expansion, while a conservation (CON) scenario predicts a 12.8% increase in flooded forest.","ai_generated":true,"unit":"sei-000989#insight-1","date_modified":"2026-10-23"},{"text":"By 2040, total carbon storage in the region is projected to be 25.63 Tg C under the conservation scenario compared to 19.43 Tg C under business-as-usual; specifically, forest carbon is projected to reach 12.12 Tg C under conservation but drop to 4.56 Tg C under business-as-usual.","ai_generated":true,"unit":"sei-000989#insight-2","date_modified":"2026-10-23"},{"text":"The economic value of carbon sequestration in the Lower Songkhram River Basin under the conservation scenario is estimated at approximately USD 782 million, providing a basis for initiatives such as REDD+, community-based forest management, and Payment for Ecosystem Services (PES).","ai_generated":true,"unit":"sei-000989#insight-3","date_modified":"2026-10-23"}],"climate_tags":["carbon sequestration","Reducing emissions from deforestation and forest degradation","climate change mitigation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["spatiotemporal analysis","scenario modeling","economic valuation"]},{"id":"sei-000343","url":"https://climateinsightsdirectory.org/document/sei-000343","title":"Land cover four Kenyan arid regions 2050","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2024-07-01","source_url":"https://www.sei.org/publications/land-cover-four-kenyan-arid-regions-2050/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"This research paper by the Stockholm Environment Institute analyzes land use and land cover (LULC) data from 2001, 2011, and 2021 to project outcomes for 2050 in four arid and semiarid counties in Kenya. The study evaluates three scenarios—achieving 10% forest cover, converting forests to croplands, and restoring degraded forests—to guide sustainable land management and meet Kenyan government climate commitments.","ai_generated":true,"unit":"sei-000343#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The study concludes that implementing interventions to achieve a 10% forest cover (scenario 1) provides the most beneficial environmental results by 2050. This scenario is associated with both an increase in forest cover and an expansion of croplands across all four analyzed counties.","ai_generated":true,"unit":"sei-000343#insight-1","date_modified":"2026-08-17"},{"text":"Modelling indicates that the proportion of cropland achieved under the 10% forest cover scenario will not differ significantly from the forest-to-cropland conversion scenario. This is because healthy forests support croplands via soil erosion protection, groundwater conservation, and climate regulation.","ai_generated":true,"unit":"sei-000343#insight-2","date_modified":"2026-08-17"},{"text":"Land management strategies must be tailored to specific geographical contexts. In Turkana, the priority should be restoring degraded lands and increasing tree cover, whereas in Narok, West Pokot, and Elgeyo Marakwet, the primary focus should be on stopping deforestation.","ai_generated":true,"unit":"sei-000343#insight-3","date_modified":"2026-08-17"},{"text":"The researchers identified risks of forest and wetland degradation due to the proximity of farmlands to forests and the presence of croplands along rivers, particularly in West Pokot and Turkana. Specifically, the \"Shamba system,\" which permits cultivation within forests, is projected to cause significant forest loss.","ai_generated":true,"unit":"sei-000343#insight-4","date_modified":"2026-08-17"},{"text":"Spatial mapping shows forest cover is distributed linearly along water bodies, especially in Turkana County. The study emphasizes the need for capacity-building to help local communities manage and detect invasive \"alien\" or \"non-native\" species.","ai_generated":true,"unit":"sei-000343#insight-5","date_modified":"2026-08-17"}],"climate_tags":["land use and land cover","forest cover","arid and semiarid lands","land degradation","climate regulation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["spatiotemporal analysis","scenario modelling","spatial mapping"]},{"id":"sei-002364","url":"https://climateinsightsdirectory.org/document/sei-002364","title":"Land cover scenarios in four Kenyan arid and semi-arid regions by 2050","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2024-07","source_url":"https://www.sei.org/wp-content/uploads/2024/06/land-cover-kenyan-arid-2050-sei2024-029.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study analyzes LULC trends in Turkana, Narok, West Pokot, and Elgeyo Marakwet counties, finding that achieving a 10% forest cover target yields the most favorable environmental and agricultural outcomes by 2050. It warns against the 'Shamba system' of forest-to-cropland conversion and highlights the threat of invasive species, particularly Prosopis juliflora, in arid regions.","ai_generated":true,"unit":"sei-002364#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Adopting interventions to achieve a 10% forest cover (Scenario 1) is projected to yield the most favorable environmental outcomes by 2050, increasing forest cover and supporting cropland expansion across all four studied counties.","ai_generated":true,"unit":"sei-002364#insight-1","date_modified":"2026-10-23"},{"text":"The 'Shamba system', which allows farmers to cultivate within forests, is projected to significantly increase deforestation and reduce forest cover, particularly in Narok County where cropland could triple from 4% to 11% by 2050.","ai_generated":true,"unit":"sei-002364#insight-2","date_modified":"2026-10-23"},{"text":"In Turkana County, 15% of the land is bare or barren, making it highly susceptible to soil erosion; under a business-as-usual scenario, this is projected to increase to 19% by 2050.","ai_generated":true,"unit":"sei-002364#insight-3","date_modified":"2026-10-23"},{"text":"Forest cover in Turkana County is extremely low, occupying less than 1% of total LULC, with nearly half of existing trees located within 1 km of river channels, suggesting a high prevalence of invasive species.","ai_generated":true,"unit":"sei-002364#insight-4","date_modified":"2026-10-23"},{"text":"Narok County has seen a slowing rate of deforestation between 2011 and 2021, attributed to government evictions from the Mau Forest to establish boundaries, though forest cover is still projected to decline by 2050.","ai_generated":true,"unit":"sei-002364#insight-5","date_modified":"2026-10-23"},{"text":"Elgeyo Marakwet County currently has the highest forest proportion of the four counties at 12%, but this is projected to decline to 7% by 2050 if current trends persist.","ai_generated":true,"unit":"sei-002364#insight-6","date_modified":"2026-10-23"},{"text":"West Pokot County is dominated by shrublands (77%) and is less vulnerable to soil erosion than Turkana due to having less than 1% bare land, though its forests are projected to decline to 1.1% by 2050.","ai_generated":true,"unit":"sei-002364#insight-7","date_modified":"2026-10-23"},{"text":"The study identifies a risk of wetland degradation in Turkana and West Pokot counties due to the conversion of wetlands to croplands, driven by the proximity of cultivation to water bodies.","ai_generated":true,"unit":"sei-002364#insight-8","date_modified":"2026-10-23"},{"text":"Invasive woody species, specifically Prosopis juliflora, are identified as a major threat in ASAL regions, as they can deplete groundwater and prevent crop growth where established.","ai_generated":true,"unit":"sei-002364#insight-9","date_modified":"2026-10-23"}],"climate_tags":["forest restoration","deforestation","soil erosion","agroforestry","carbon sequestration","food security"],"geography_discussed":["Mau Forest"],"frame_perspective":[],"analysis_type":["spatiotemporal analysis","scenario modelling","predictive modelling"]},{"id":"sei-000321","url":"https://climateinsightsdirectory.org/document/sei-000321","title":"Climate-related disasters in China","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2018-02-22","source_url":"https://www.sei.org/publications/climate-related-disasters-china/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study examines the relationship between economic growth and climate-related disaster vulnerability in China from 1949 to 2015. It finds that while higher per-capita income is correlated with a significant reduction in human fatalities, it is associated with an increase in direct economic losses. Despite regional differences between the West, Central, and East economic regions, the overall trend shows a decline in vulnerability—measured as a share of population and GDP—across all regions, with temporal changes converging over time.","ai_generated":true,"unit":"sei-000321#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In China since 1949, economic development has been linked to a significant decrease in human fatalities from climate-related disasters, but an increase in direct economic losses (DELs).","ai_generated":true,"unit":"sei-000321#insight-1","date_modified":"2026-10-23"},{"text":"Between 1978 and 2015 for mortality and 1990 to 2015 for direct economic losses, vulnerability (as a share of total population and GDP) declined significantly across all of China's economic regions, with these regional trends converging over time.","ai_generated":true,"unit":"sei-000321#insight-2","date_modified":"2026-10-23"},{"text":"There is a correlation between the level of economic development and both human and economic vulnerability, with vulnerability decreasing as per-capita income increases.","ai_generated":true,"unit":"sei-000321#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change vulnerability","economic development"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","spatiotemporal analysis"]}]}