{"query_echo":{"q":"","filters":{"geography":["Jammu & Kashmir"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Jammu & Kashmir' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":8,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Jammu+%26+Kashmir","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":"clipolin-001080","url":"https://climateinsightsdirectory.org/document/clipolin-001080","title":"Assessing Climate Risks to India’s Power Sector: A District-Level and Asset-Level Methodology for Climate-Resilient Power Systems","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2026-05","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2026/05/Discussion-paper-Assessing-Climate-Risks-to-Indias-Power-Sector.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The paper introduces the Climate Risk Assessment Framework (CRAF), a structured approach to quantify physical climate risks for India's power infrastructure. It addresses gaps in existing literature by moving from qualitative risk ratings to energy-denominated impact estimates, specifically Expected Annual Loss (EAL) and Energy Not Served (ENS). The methodology distinguishes between chronic stressors (causing performance derating) and acute events (causing sudden failure), providing a pathway for cost-benefit analysis of resilience investments to avoid stranded assets and unplanned retrofitting costs.","ai_generated":true,"unit":"clipolin-001080#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India's climate profile is shifting toward non-linear increases in temperature and precipitation extremes, with mean surface temperature rising approximately 0.9°C between 1901 and 2024.","ai_generated":true,"unit":"clipolin-001080#insight-1","date_modified":"2026-10-23"},{"text":"Climate-induced extreme weather events have caused significant financial losses for Asian power utilities, totaling USD 6.3 billion (INR 59,850 crore) annually.","ai_generated":true,"unit":"clipolin-001080#insight-2","date_modified":"2026-10-23"},{"text":"The proposed Climate Risk Assessment Framework (CRAF) uses a hazard–exposure–vulnerability (H×E×V) construct to quantify risk across seven analytical stages, moving from district-level hazard indices to financial impact estimates.","ai_generated":true,"unit":"clipolin-001080#insight-3","date_modified":"2026-10-23"},{"text":"The framework identifies two distinct impact pathways: chronic stress, which leads to performance derating (e.g., efficiency loss in solar PV modules), and acute stress, which causes sudden failure and outages (e.g., transmission tower collapse during cyclones).","ai_generated":true,"unit":"clipolin-001080#insight-4","date_modified":"2026-10-23"},{"text":"The methodology generates an Asset-Specific Climate Risk Factor (ACRF), a dimensionless comparative index used for spatial risk mapping and identifying hotspots across India's districts.","ai_generated":true,"unit":"clipolin-001080#insight-5","date_modified":"2026-10-23"},{"text":"Operational impacts are quantified as Expected Annual Loss (EAL) for generation assets and Energy Not Served (ENS) for transmission and distribution assets, both expressed in MWh per year.","ai_generated":true,"unit":"clipolin-001080#insight-6","date_modified":"2026-10-23"},{"text":"The framework includes a Cost-Benefit Analysis (CBA) module to evaluate resilience measures by comparing the Present Value of Benefits (avoided energy losses and repair costs) against the Present Value of Costs.","ai_generated":true,"unit":"clipolin-001080#insight-7","date_modified":"2026-10-23"},{"text":"As of 2026, India's total installed power capacity is approximately 520 GW, with a target for 60% of cumulative installed capacity to come from non-fossil fuel sources by 2035.","ai_generated":true,"unit":"clipolin-001080#insight-8","date_modified":"2026-10-23"}],"climate_tags":["electric power industry","climate change adaptation","climate resilience","photovoltaics","wind turbine","electric power transmission","climate finance","extreme weather event","national adaptation plan"],"geography_discussed":["Himachal Pradesh","Jharkhand","Maharashtra","Kerala","Tripura","Andhra Pradesh","Jammu & Kashmir","Ladakh","Bihar","Assam"],"frame_perspective":[],"analysis_type":["methodological framework","risk assessment"]},{"id":"iisd-000114","url":"https://climateinsightsdirectory.org/document/iisd-000114","title":"Unpacking India’s Electricity Subsidies: Reporting, transparency, and efficacy","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2020-12-16","source_url":"https://www.iisd.org/publications/india-electricity-subsidies","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Direct tariff electricity subsidies in India rose 32% between FY 2016 and FY 2019, reaching INR 110,391 crore in FY 2019. The report finds that the Ujjwal DISCOM Assurance Yojana (UDAY) scheme has largely failed to improve the financial health of distribution companies (DISCOMs), as 24 of 31 states and union territories reported revenue gaps in FY 2019 and only 6 met the target of reducing aggregate technical and commercial (AT&C) losses to 15%. Furthermore, no state adhered to the National Tariff Policy's target range for billing consumers relative to the average cost of supply. Subsidy allocation is heavily skewed, with agricultural consumers receiving 75% of total subsidies, while transparency remains low, with only 13 states and union territories clearly reporting subsidy data.","ai_generated":true,"unit":"iisd-000114#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Direct tariff electricity subsidies from state governments increased by 32% from FY 2016 to FY 2019, totaling INR 110,391 crore (USD 14.96 billion) in FY 2019, which represents 4.52% of the total budget outlay and 37.36% of the budget for defence expenditure for that year.","ai_generated":true,"unit":"iisd-000114#insight-1","date_modified":"2026-10-23"},{"text":"The Ujjwal DISCOM Assurance Yojana (UDAY) scheme has not achieved its financial goals for most jurisdictions: 24 of 31 states and union territories had a revenue gap in FY 2019, and only 6 of 31 met the target of reducing aggregate technical and commercial (AT&C) losses to 15% by FY 2019.","ai_generated":true,"unit":"iisd-000114#insight-2","date_modified":"2026-10-23"},{"text":"National tariff policy targets are not being met; no state or union territory billed consumers within the target range of +/-20% of the average cost of supply (ACoS). In 12 jurisdictions, industrial and commercial users were charged over 120% of ACoS, while domestic and agricultural users were charged less than 80%.","ai_generated":true,"unit":"iisd-000114#insight-3","date_modified":"2026-10-23"},{"text":"Subsidy distribution is dominated by the agricultural sector, which received 75% of total subsidies, followed by domestic consumers (20%) and industries (4%). Only Delhi, Haryana, Tamil Nadu, and Uttar Pradesh have specified support for a fixed number of units.","ai_generated":true,"unit":"iisd-000114#insight-4","date_modified":"2026-10-23"},{"text":"Data transparency is poor, with only 13 states and union territories clearly reporting subsidy data and only seven reporting by category. Additionally, 15 jurisdictions show significant data variations between Power Finance Corporation (PFC) reports and state documentation.","ai_generated":true,"unit":"iisd-000114#insight-5","date_modified":"2026-10-23"}],"climate_tags":["energy transition"],"geography_discussed":["Jammu & Kashmir","Sikkim","Himachal Pradesh","Delhi","Haryana","Tamil Nadu","Uttar Pradesh"],"frame_perspective":[],"analysis_type":["financial analysis","policy evaluation"]},{"id":"iisd-000663","url":"https://climateinsightsdirectory.org/document/iisd-000663","title":"Lake Dal in Srinagar, India: Application of the Sustainable Asset Valuation (SAVi) methodology for the analysis of conservation options","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2018-12-29","source_url":"https://www.iisd.org/publications/report/lake-dal-srinagar-india-application-sustainable-asset-valuation-savi","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report applies the Sustainable Asset Valuation (SAVi) methodology to Lake Dal in Srinagar, India, to assess conservation options against anthropogenic pressures such as untreated sewage and fertilizer runoff. The analysis concludes that 'business as usual' and certain infrastructure projects, like a proposed road, are insufficient or counterproductive to preventing ecological collapse. The most cost-effective approach identified is a hybrid infrastructure solution combining sewage treatment upgrades, solar photovoltaic power, on-site treatment for lake dwellers, and the construction of an artificial wetland.","ai_generated":true,"unit":"iisd-000663#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The SAVi analysis indicates that current efforts often treat only the symptoms of pollution, such as algae growth, and that more systemic measures are required to reduce pressures on the lake.","ai_generated":true,"unit":"iisd-000663#insight-1","date_modified":"2026-10-23"},{"text":"To prevent the ecological collapse of Lake Dal and maintain fishing activities, 'business as usual' approaches, the construction of a proposed road, and treating sewage only from houseboats and lake dwellers are deemed insufficient or counterproductive.","ai_generated":true,"unit":"iisd-000663#insight-2","date_modified":"2026-10-23"},{"text":"A hybrid infrastructure solution is identified as the most cost-effective method for reducing pollution and generating regional economic benefits. This specific scenario involves four simultaneous interventions: expanding sewage network connectivity and treatment capacity for the lake's periphery, installing solar photovoltaic systems to ensure reliable electricity for treatment plants, implementing on-site sewage treatment for houseboats and lake dwellers, and constructing an artificial wetland.","ai_generated":true,"unit":"iisd-000663#insight-3","date_modified":"2026-10-23"}],"climate_tags":["water quality","photovoltaics","tourism industry"],"geography_discussed":["Jammu & Kashmir","Coimbatore","Albania","Senegal","Sardinia","Italy"],"frame_perspective":[],"analysis_type":["economic valuation","scenario analysis"]},{"id":"iisd-003444","url":"https://climateinsightsdirectory.org/document/iisd-003444","title":"Lake Dal in Srinagar, India: Application of the Sustainable Asset Valuation (SAVi) methodology for the analysis of conservation options","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2018-12","source_url":"https://www.iisd.org/system/files/publications/savi-dal-lake-india.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report evaluates multiple conservation scenarios for Lake Dal, concluding that a hybrid approach combining grey infrastructure (sewage treatment plants), solar PV power, and natural infrastructure (artificial wetlands) is the most cost-effective way to prevent ecological collapse and maximize economic benefits from tourism and fisheries.","ai_generated":true,"unit":"iisd-003444#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 'Business-as-usual' (BAU) scenario leads to ecological degradation, with nitrogen (N) concentrations projected to increase from 0.91 mg N per litre in 2016 to 1.53 mg N per litre by 2060, potentially causing the depletion of local fish stocks within 20 years.","ai_generated":true,"unit":"iisd-003444#insight-1","date_modified":"2026-10-23"},{"text":"A hybrid infrastructure approach (Scenario 3.2)—combining sewage network expansion for the periphery, solar PV for power, on-site treatment for lake dwellers and houseboats, and a 500 ha artificial wetland—is the most cost-effective for reducing nitrogen loading and generating economic benefits.","ai_generated":true,"unit":"iisd-003444#insight-2","date_modified":"2026-10-23"},{"text":"Installing solar PV to power sewage treatment plants (STPs) and pumping stations prevents accidental untreated sewage discharge during power cuts and reduces social costs of carbon by replacing diesel generators.","ai_generated":true,"unit":"iisd-003444#insight-3","date_modified":"2026-10-23"},{"text":"Treating sewage from the lake's periphery is the highest priority among polluter groups because it represents the largest population; conversely, treating houseboat sewage has negligible impact on lake rehabilitation.","ai_generated":true,"unit":"iisd-003444#insight-4","date_modified":"2026-10-23"},{"text":"Constructing an artificial wetland in isolation (Scenario 3.1) slightly improves water quality but is insufficient to reduce nitrogen loadings to sustainable levels; it is most effective as a supplement to grey infrastructure.","ai_generated":true,"unit":"iisd-003444#insight-5","date_modified":"2026-10-23"},{"text":"The construction of the Western Foreshore Road (Scenario 5.1) is counterproductive, as it increases stormwater runoff and encourages encroachment, leading to a 20.2% increase in nitrogen concentration and a 20% reduction in total revenues compared to the BAU scenario.","ai_generated":true,"unit":"iisd-003444#insight-6","date_modified":"2026-10-23"},{"text":"Relocating lake dwellers (Scenario 4.1) reduces nitrogen loadings by 12% but is capital intensive and insufficient on its own to prevent the collapse of fish stocks.","ai_generated":true,"unit":"iisd-003444#insight-7","date_modified":"2026-10-23"},{"text":"The report recommends on-site sewage treatment for lake dwellers over relocation due to high costs and the political difficulty of preventing dwellers from returning to the lake.","ai_generated":true,"unit":"iisd-003444#insight-8","date_modified":"2026-10-23"}],"climate_tags":["wastewater treatment","photovoltaics","green infrastructure","tourism industry","land use"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cost-benefit analysis","scenario analysis","system dynamics simulation"]},{"id":"cdkn-000611","url":"https://climateinsightsdirectory.org/document/cdkn-000611","title":"Transforming India into a solar power","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2011-11","source_url":"http://cdkn.org/wp-content/uploads/2011/12/India-InsideStory_cbc_LR21.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document evaluates the Jawaharlal Nehru National Solar Mission, launched in 2009 to make solar power affordable by 2022 and establish India as a global leader in solar energy. It highlights the success of competitive bidding in reducing tariffs but warns that a lack of expertise requirements attracted inexperienced developers, risking project defaults. The brief also notes that while off-grid subsidies exist, the market-based approach and high down payments limit access for the most energy-poor. It recommends integrating participatory models and strengthening environmental impact assessments to ensure long-term sustainability.","ai_generated":true,"unit":"cdkn-000611#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Jawaharlal Nehru National Solar Mission aims to install 20 GW of solar capacity by 2022 to achieve grid parity and establish India as a global leader in solar power and manufacturing.","ai_generated":true,"unit":"cdkn-000611#insight-1","date_modified":"2026-10-23"},{"text":"Competitive bidding has successfully lowered solar tariffs, but the absence of strict expertise requirements led to contracts being awarded to inexperienced firms, such as an animation company and a woollen yarn maker, increasing the risk of low-quality installations.","ai_generated":true,"unit":"cdkn-000611#insight-2","date_modified":"2026-10-23"},{"text":"The Mission's off-grid programme, which provides capital subsidies of 30–90% and interest-bearing loans, has struggled to reach the most energy-poor due to required down payments and a lack of flexible, tailored application designs.","ai_generated":true,"unit":"cdkn-000611#insight-3","date_modified":"2026-10-23"},{"text":"Current financing for off-grid projects relies heavily on banks, which often avoid risky small-scale loans; the document suggests that engaging NGOs and community groups through participatory models would improve access and sustainability.","ai_generated":true,"unit":"cdkn-000611#insight-4","date_modified":"2026-10-23"},{"text":"India is promoting domestic manufacturing by requiring locally-sourced components and offering zero import duties on capital equipment, though these requirements are currently disputed as potential violations of World Trade Organization obligations.","ai_generated":true,"unit":"cdkn-000611#insight-5","date_modified":"2026-10-23"},{"text":"The Indian government has streamlined solar project implementation by confirming that environmental impact assessments are not required, which the document argues ignores risks related to land use, water use, and hazardous materials.","ai_generated":true,"unit":"cdkn-000611#insight-6","date_modified":"2026-10-23"}],"climate_tags":["solar energy","climate finance","environmental impact assessment","rural electrification","energy security","technology transfer"],"geography_discussed":["Germany","Spain","Japan","People's Republic of China","United States","Sikkim","Jammu & Kashmir","Himachal Pradesh","Uttarakhand","European Union"],"frame_perspective":[],"analysis_type":["policy assessment","case study"]},{"id":"iisd-002007","url":"https://climateinsightsdirectory.org/document/iisd-002007","title":"Analysis of Grey and Natural Infrastructure for Lake Conservation Applying the Sustainable Asset Valuation (SAVi) to Lake Dal, in Srinagar, State of Jammu & Kashmir, India","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/savi-dal-lake-india-brochure.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document assesses five scenarios for the conservation of Lake Dal, ranging from business-as-usual to hybrid infrastructure upgrades. Using the SAVi tool, it finds that a hybrid approach—combining upgraded sewage treatment with a 500 ha artificial wetland—yields the highest net benefits (INR 360 billion) and the best water quality improvements. Conversely, the 'business-as-usual' scenario predicts a continuous decline in water quality and severe revenue losses for tourism and fisheries by 2060. The analysis also indicates that constructing the Western Foreshore Road would reduce tourism and fishery revenues by over INR 72 billion compared to the hybrid scenario due to damage to lake integrity.","ai_generated":true,"unit":"iisd-002007#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 'Business-as-usual' (BAU) scenario, reflecting 2018 conditions, predicts a continuous decline in water quality that will cause severe revenue losses for Srinagar's tourism industry and threaten the local fishery industry by 2060.","ai_generated":true,"unit":"iisd-002007#insight-1","date_modified":"2026-10-23"},{"text":"The hybrid infrastructure upgrade (Scenario 3), which includes a 500 ha artificial wetland and upgraded sewage treatment, provides the highest net benefits at INR 360 billion, representing a 62% increase in net benefits over the grey infrastructure upgrade (Scenario 2) with only an 8.6% increase in investment.","ai_generated":true,"unit":"iisd-002007#insight-2","date_modified":"2026-10-23"},{"text":"The hybrid infrastructure scenario is the most effective for water quality between 2030 and 2060, reducing nitrogen concentration by an average of 65.5%, improving water clarity by an average of 174%, and reducing chlorophyll-a concentration by nearly 90% compared to the BAU scenario.","ai_generated":true,"unit":"iisd-002007#insight-3","date_modified":"2026-10-23"},{"text":"Constructing the 20 km Western Foreshore Road (Scenario 4) would result in lower net benefits than the hybrid upgrade, reducing revenues for the fishery and tourism industries by more than INR 72 billion by 2060 due to new encroachment and damage to water quality from the sealed road surface.","ai_generated":true,"unit":"iisd-002007#insight-4","date_modified":"2026-10-23"},{"text":"Implementing sewage treatment exclusively for houseboats (Scenario 1) is deemed not worthwhile, as it results in negative net results and negligible benefits despite a required investment of INR 768 million.","ai_generated":true,"unit":"iisd-002007#insight-5","date_modified":"2026-10-23"},{"text":"The grey infrastructure upgrade (Scenario 2), involving 100% connection of the lake periphery to upgraded sewage plants powered by solar PV and battery storage, is an intermediate solution with benefits of INR 237 billion outweighing an investment of INR 15.6 billion.","ai_generated":true,"unit":"iisd-002007#insight-6","date_modified":"2026-10-23"}],"climate_tags":["water quality","photovoltaics","battery energy storage system","tourism industry"],"geography_discussed":["India"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","systems dynamics simulation"]},{"id":"ruralele-000184","url":"https://climateinsightsdirectory.org/document/ruralele-000184","title":"State of the Decentralised Renewable Energy Sector in India","publisher":{"name":"Alliance for Renewable Electrification","organization":"alliance-for-renewable-electrification"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.renewelec.org/wp-content/uploads/2024/03/DRE-SoS-2023-CLEAN-WEFT.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report provides a comprehensive overview of India's decentralised renewable energy (DRE) landscape, detailing deployment statistics, government schemes, and the role of R&D in driving innovation. It highlights the transition of DRE from basic lighting to productive livelihood applications and identifies 'weak-grid' areas as a significant growth market. The document emphasizes the necessity of harmonized international standards to prevent market spoilage and facilitate global trade. It also showcases the 'transformational journeys' of Indian companies expanding into Sub-Saharan Africa, leveraging digital technologies like Pay-as-you-Go (PayG) and standardized mini-grid models to address energy poverty.","ai_generated":true,"unit":"ruralele-000184#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"As of December 31, 2022, India's cumulative deployment of off-grid solar applications included over 10 million solar lanterns, approximately 1.7 million home lights, nearly 945,000 street lights, and over 500,000 solar pumps.","ai_generated":true,"unit":"ruralele-000184#insight-1","date_modified":"2026-10-23"},{"text":"The Indian DRE sector faces a critical shortage of reliable, real-time data, which hinders the ability of users to make informed product choices and obstructs the government's capacity to formulate effective policies.","ai_generated":true,"unit":"ruralele-000184#insight-2","date_modified":"2026-10-23"},{"text":"There is a significant market opportunity for DRE in 'weak-grid' areas—where electricity is inadequate or unreliable—by integrating distributed solar, battery storage, and efficient appliances like Brushless DC (BLDC) motors.","ai_generated":true,"unit":"ruralele-000184#insight-3","date_modified":"2026-10-23"},{"text":"Adopting harmonized international standards, such as those from the IEC, is essential to prevent the entry of sub-standard products, protect consumers, and reduce technical barriers to international trade.","ai_generated":true,"unit":"ruralele-000184#insight-4","date_modified":"2026-10-23"},{"text":"The Ministry of New and Renewable Energy (MNRE) RE-RTD programme, with a budget of INR 228 crore for 2021-2026, supports R&D for technology indigenization and the development of DRE solutions for drinking water, silk processing, and solar pumping.","ai_generated":true,"unit":"ruralele-000184#insight-5","date_modified":"2026-10-23"},{"text":"DRE technologies have a strong positive impact on gender equality in India, with one assessment showing that over 80% of end-users of programme-supported DRE livelihood technologies were women as of August 2022.","ai_generated":true,"unit":"ruralele-000184#insight-6","date_modified":"2026-10-23"},{"text":"Indian DRE companies are successfully expanding into Sub-Saharan Africa by utilizing digital business models like Pay-as-you-Go (PayG) and leveraging experience from the Indian market to deploy mini-grids in countries such as Nigeria and Tanzania.","ai_generated":true,"unit":"ruralele-000184#insight-7","date_modified":"2026-10-23"},{"text":"The report identifies a need for the Indian government to prioritize DRE for thermal energy needs beyond domestic cooking, specifically for industrial and commercial applications requiring temperatures below 80°C.","ai_generated":true,"unit":"ruralele-000184#insight-8","date_modified":"2026-10-23"}],"climate_tags":["photovoltaics","biogas","energy access","energy poverty","climate finance","energy storage","Net-zero emissions","gender equality","clean cooking"],"geography_discussed":["sub-Saharan Africa","Nigeria","Tanzania","Uganda","Kenya","Democratic Republic of the Congo","Meghalaya","Jammu & Kashmir","Uttar Pradesh","Jharkhand","Maharashtra","Nepal"],"frame_perspective":[],"analysis_type":["sectoral assessment","policy review","case study analysis"]},{"id":"wwf-000324","url":"https://climateinsightsdirectory.org/document/wwf-000324","title":"SOI IN INDIA","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.worldwildlife.org/documents/485/2i0lv8c7wq_SPAI_Flyer_29Jan_2024_compressed_Corrected_1_.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The Snow Leopard Population Assessment in India (SPAI) estimated a total population of 718 snow leopards across an occupied habitat of 93,392 km². The study utilized camera trapping at 1,971 locations and occupancy modeling across regions including Ladakh, Jammu & Kashmir, Himachal Pradesh, Uttarakhand, Sikkim, and Arunachal Pradesh. Conservation efforts highlighted include the establishment of 57 Protected Areas covering 34% of the snow leopard range and the proposed creation of a Snow Leopard cell for coordinated monitoring.","ai_generated":true,"unit":"wwf-000324#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The total snow leopard population in India is estimated at 718 individuals within an occupied habitat of 93,392 km².","ai_generated":true,"unit":"wwf-000324#insight-1","date_modified":"2026-10-23"},{"text":"The assessment employed extensive field methods, including the deployment of cameras at 1,971 locations for 180,000 trap nights, resulting in 20.2 lakh photographs of 196 bird and mammal species.","ai_generated":true,"unit":"wwf-000324#insight-2","date_modified":"2026-10-23"},{"text":"Current conservation infrastructure includes 57 Protected Areas (PAs) that cover 34% of the snow leopard range, alongside 3 Biosphere Reserves and 3 GSLEP Landscapes.","ai_generated":true,"unit":"wwf-000324#insight-3","date_modified":"2026-10-23"},{"text":"The study recorded snow leopard occupancy and estimated presence across several regions, with occupancy recorded in 93,392 km² and estimated presence in 100,841 km² overall.","ai_generated":true,"unit":"wwf-000324#insight-4","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Ladakh","Jammu & Kashmir","Himachal Pradesh","Uttarakhand","Sikkim","Arunachal Pradesh","Indian Himalayan Region"],"frame_perspective":[],"analysis_type":["population assessment","ecological monitoring"]}]}