Content FIRST PRESS RELEASE OF ALL INDIA INDEX OF INDUSTRIAL PRODUCTION OF NEW SERIES WITH BASE YEAR 2022-23 4,000 yrs of climate history from world’s largest inhabited river island offer adaption insights FIRST PRESS RELEASE OF ALL INDIA INDEX OF INDUSTRIAL PRODUCTION OF NEW SERIES WITH BASE YEAR 2022-23 Relevance : GS Paper 3 (Indian Economy & Industrial Development) 1 Issue in Brief MoSPI released the first press release of the revised All India Index of Industrial Production (IIP) with base year shifted from 2011-12 to 2022-23, aimed at making the index more representative of India’s current industrial structure. IIP for April 2026 recorded 4.9% growth (year-on-year), driven primarily by Manufacturing sector growth of 6.2%, reflecting sustained momentum in industrial activity. The revision incorporates an updated item basket, revised weighting structure, expanded sectoral coverage, and adoption of NIC 2025, aligning IIP with contemporary economic realities and global standards. 2 Static Background IIP is a composite index measuring short-term changes in volume of production of industrial goods relative to a chosen base period — it is a quantity index, not a value index, making it relatively insulated from price fluctuations. Published by: MoSPI | Frequency: Monthly | Released with approximately a 6-week lag from the reference month, limiting its real-time utility for policymakers. Sectors in new series (4): Mining & Quarrying, Manufacturing, Electricity & Gas Supply, and Water Supply, Sewerage & Waste Management — the last being an entirely new addition to the IIP framework. Use-Based Classification (6 categories, retained from old series): Primary Goods, Capital Goods, Intermediate Goods, Infrastructure/Construction Goods, Consumer Durables, Consumer Non-Durables — individual item group classifications within these were reviewed and updated. Base year revision was overseen by the Technical Advisory Committee for Base Year Revision of IIP (TAC-IIP); committee report was released on 25 May 2026, preceding this press release. NIC 2025 has been adopted for compilation and dissemination of the new series, replacing the earlier classification framework used in the 2011-12 series. 3 Key Dimensions A. April 2026 IIP Performance Sector Growth (YoY) Index Value Overall IIP 4.9% 118.9 Manufacturing 6.2% 119.3 Electricity & Gas Supply 4.9% 125.5 Water Supply & Waste Mgmt 6.6% 146.1 Mining & Quarrying -5.1% 104.6 Manufacturing showed broadbased strength with 17 out of 23 industry groups at NIC 2-digit level recording positive growth in April 2026 over April 2025. Mining & Quarrying was the sole sectoral drag, contracting by 5.1%, primarily due to a 5.7% decline in Fuel Minerals, weighing on the overall IIP figure significantly. B. Top Manufacturing Contributors (April 2026) Electrical Equipment (+19.2%): Growth driven by switchgear, circuit breakers, control panels, small transformers, and carbon/graphite articles used for electrical purposes — reflecting capital investment in power infrastructure. Other Transport Equipment (+18.9%): Strong performance across this group; specific item-level contributors not detailed in the press release for this sub-group. Machinery & Equipment n.e.c. (+12.9%): Growth led by fire-fighting equipment, cranes of all types, and stationary/internal combustion piston engines not used for motor vehicles. Motor Vehicles, Trailers & Semi-Trailers (+12.7%): Driven by auto components, spares and accessories, passenger cars, and wheel rims — indicating healthy demand in the automobile sector. C. Use-Based Classification (April 2026) Category Weight Growth Policy Signal Capital Goods 8.082% 16.0% Investment cycle strengthening Intermediate Goods 22.416% 7.7% Supply chain activity healthy Infrastructure/Construction 10.908% 7.1% Government capex push visible Consumer Durables 11.311% 4.3% Moderate urban demand Consumer Non-Durables 16.147% 2.8% Mass consumption sluggish Primary Goods 31.136% 0.4% Near-stagnant, structural concern Capital Goods at 16% growth is the most significant signal — capital goods production is a leading indicator of private investment and future productive capacity expansion in the economy. Consumer Non-Durables at 2.8% and Primary Goods at 0.4% together suggest demand-side weakness at the base of the consumption pyramid, potentially reflecting rural income or inflation stress. D. What Changed in the New IIP Series?i. New Sector Added Water Supply, Sewerage & Waste Management (weight: 2.02%) added as a completely new sector; data sourced from MoHUA and Department of Drinking Water & Sanitation — two of the four newly added source agencies. ii. Revised and Expanded Item Basket Old series (2011-12): 839 items mapped to 407 item groups | New series (2022-23): 1,042 items mapped to 463 item groups — representing a significant expansion in the breadth and granularity of industrial production measurement. Newly added items include: CCTV cameras, stents, vaccines (non-veterinary), non-woven textile articles, parts of aircraft and spacecraft, and cards with magnetic stripe — capturing emerging industrial segments. Deleted items include: Kerosene, fluorescent tubes, CFLs, bicycle/LMV tyre tubes, sewing machines, printing machinery — removed on grounds of technological obsolescence and declining industrial relevance. Items reported in value terms increased substantially: from 109 item groups in the old series to 234 item groups in the new series — a more than twofold increase, improving measurement accuracy. iii. Enhanced Granularity Electricity sector now disaggregated into: (i) Renewable Sources (hydro, wind, solar) and (ii) Non-Renewable Sources (thermal, nuclear) — enabling tracking of India’s energy transition within the IIP framework itself. Mining & Quarrying now split into three sub-groups: (i) Fuel Minerals, (ii) Metallic Minerals including Rare Earth Minerals, and (iii) Non-Metallic Minerals including Minor Minerals — a significant improvement over the single undifferentiated index of the old series. Rare Earth Minerals are now tracked with data sourced from IREL (India) Limited, Department of Atomic Energy — critical given India’s strategic push in electronics, EV batteries, and defence manufacturing sectors. Minor Minerals (sand, gravel, stone etc.) now included via data from State Directorates of Economics and Statistics (DES) — previously excluded, despite accounting for a significant share of Mining GVA per National Accounts estimates. iv. Updated Weights (Key Shifts) Weights derived from GVA data (National Accounts Statistics, 2022-23) at sectoral level and Annual Survey of Industries (ASI) 2022-23 at NIC 2/3/4-digit level — ensuring contemporaneous economic relevance. Petroleum products weight fell sharply: 11.77% → 7.72% — reflects India’s economic diversification away from petroleum-intensive industrial production over the past decade. Motor Vehicles weight rose: 4.86% → 6.42% | Pharma weight rose: 4.98% → 5.83% | Electrical Equipment weight rose: 2.998% → 3.175% — all reflecting sectoral expansion. Mining & Quarrying overall weight declined: 14.37% → 11.05% | Manufacturing slightly declined: 77.63% → 76.06% | Electricity & Gas Supply rose: 7.99% → 10.87% — signalling energy sector’s growing economic footprint. v. Linking Factor Linking factor calculated using Geometric Mean (GM) method to connect the old 2011-12 series with the new 2022-23 series — allows users to construct a back-linked historical series for trend analysis. Sector Linking Factor Mining & Quarrying 1.1890 Manufacturing 1.3700 Electricity 1.8495 General Index 1.3834 Linking factor for Water Supply, Sewerage & Waste Management cannot be computed as this sector was entirely absent from the old series — a direct comparability gap users must account for. MoSPI explicitly states it does not prescribe any specific linking methodology — the choice is left to users based on their analytical requirements, which may lead to inconsistency across research and policy uses. vi. Data Source Agencies Total agencies: 16 (12 existing + 4 new). New agencies: IREL (India) Ltd, State DES (minor minerals), MoHUA, and Dept. of Drinking Water & Sanitation — institutionalising data collection from previously uncovered industrial segments. 4 Critical Analysis Capital Goods growth of 16% in April 2026 is a strongly positive signal, suggesting that the private investment/capex cycle may be gaining traction — historically, sustained capital goods expansion precedes broader industrial employment and output growth. Renewable electricity growing at 18% within the new disaggregated electricity index reflects the accelerating shift in India’s energy mix — the IIP can now serve as a real-time tracker of the energy transition, which was not possible in the old series. Inclusion of rare earth minerals and CCTV cameras, stents, vaccines in the item basket directly aligns IIP with Atmanirbhar Bharat and Production Linked Incentive (PLI) scheme priority sectors, improving its relevance for industrial policy evaluation. Mining sector contraction of 5.1%, particularly the 5.7% decline in Fuel Minerals, is a recurring structural concern — it may signal issues with coal/petroleum extraction, affecting input availability for downstream manufacturing and energy sectors. Consumer Non-Durables at just 2.8% growth is a persistent worry — this category captures mass-consumption goods (soaps, edible oils, medicines etc.) and its weakness signals demand stress among lower and middle-income households, potentially linked to food inflation or wage stagnation. Non-comparability between old and new series is a significant analytical challenge — differences in item basket, weights, sectoral scope, and factory panel mean that growth rate comparisons across the two series must be made with explicit caveats and cannot be treated as continuous data. WPI continues to be used for deflating value-based item groups until the Output Producer Price Index (PPI) is released — this is a methodological gap, as WPI includes traded goods and may not accurately reflect ex-factory price movements used in industrial production. Provision for factory substitution (replacing closed/non-operational units) is a methodologically important addition — the old series suffered from “ghost units” continuing to influence the index even after ceasing production, distorting growth readings. 5 Way Forward Expedite release of Output PPI to replace WPI as the deflator for value-based item groups — this will improve methodological consistency with international standards such as those recommended by the IMF Industrial Production Index Manual. Address Mining sector structural weakness by fast-tracking environmental and forest clearances, operationalising the National Mineral Policy 2019, and strengthening the Critical Minerals Mission to reduce import dependence on rare earth and strategic minerals. Stimulate rural and mass-market consumption to lift Consumer Non-Durables growth — targeted fiscal transfers, MGNREGS wage indexation to inflation, and rural credit expansion can support bottom-of-pyramid demand revival. Reduce IIP data lag from 6 weeks — MoSPI should explore integration of GST e-way bill data and GSTN production records for near-real-time cross-validation of factory-level output, improving timeliness of the index. Align IIP classification with ISIC Rev. 5 (UN International Standard Industrial Classification) as NIC 2025 evolves — essential for ensuring global comparability, attracting FDI, and enabling India’s participation in international industrial statistics databases. Publish sub-state/regional IIP using the State DES infrastructure now formally integrated as a data source — this would enable state-level industrial performance tracking, supporting cooperative federalism in industrial planning. 6 Prelims Pointers IIP released by: MoSPI New base year: 2022-23 | Old: 2011-12 Old item groups: 407 | New: 463 | Old items: 839 | New items: 1,042 Sectors in new IIP: 4 — Mining & Quarrying (11.05%), Manufacturing (76.06%), Electricity & Gas Supply (10.87%), Water Supply/Sewerage/Waste (2.02%) Largest weighted use-based category: Primary Goods (31.136%) Highest growth use-based category (April 2026): Capital Goods (+16%) Linking factor method: Geometric Mean Industrial classification used: NIC 2025 Total data source agencies: 16 (4 newly added) Renewable electricity growth (April 2026): +18% IIP nature: Short-term, volume-based, composite index TAC-IIP report released: 25 May 2026 Deflator used currently: WPI (Output PPI to replace when available) Value-based item groups: 234 (new) vs 109 (old) Newly added items: CCTV cameras, stents, vaccines, non-woven textiles, aircraft/spacecraft parts, magnetic stripe cards Deleted items: Kerosene, CFLs, fluorescent tubes, sewing machines, printing machinery, bicycle/LMV tyre tubes Rare Earth Mineral data sourced from: IREL (India) Ltd, Department of Atomic Energy Minor Mineral data sourced from: State Directorates of Economics and Statistics (DES) Linking factor for Water Supply sector: Cannot be computed (new sector, no old series equivalent) Manufacturing industry groups with positive growth (April 2026): 17 out of 23 7 Practice Mains Question Q. The revision of India’s Index of Industrial Production (IIP) base year from 2011-12 to 2022-23 is both a statistical necessity and a policy opportunity. Critically examine the structural changes introduced in the new series and assess their implications for industrial policymaking in India.(GS Paper 3 — Indian Economy / Industrial Development — 15 marks) Answer structure hints: Define IIP and the rationale for periodic base year revision Detail key structural changes: item basket expansion, new sector, granularity improvements, weight updates Assess policy implications: PLI tracking, energy transition monitoring, rare earth strategy, rural demand gaps Critical angle: non-comparability problem, WPI deflation gap, mining weakness, data lag Conclude with: Output PPI, GST data integration, regional IIP, and global alignment 8 Practice MCQ with Explanation Q. With reference to the revised Index of Industrial Production (IIP) with base year 2022-23, consider the following statements: Water Supply, Sewerage and Waste Management has been included as a new sector in the revised IIP series. The revised IIP series uses the National Industrial Classification (NIC) 2025 for compilation and dissemination. The linking factor between the old and new IIP series is calculated using the Arithmetic Mean method. Rare Earth Minerals are now included under the Mining & Quarrying sector of the revised IIP, with data sourced from IREL (India) Limited. Which of the statements given above are correct? (A) 1 and 4 only (B) 1, 2 and 4 only (C) 2 and 3 only (D) 1, 3 and 4 only Answer: (B) 1, 2 and 4 only Explanation: Statement 1 — Correct. Water Supply, Sewerage & Waste Management is an entirely new sector in the 2022-23 series with a weight of 2.02%; it had no equivalent in the 2011-12 series. Statement 2 — Correct. The press release explicitly states that NIC 2025 will be used for compilation and dissemination of the new IIP series. Statement 3 — Incorrect. The linking factor is calculated using the Geometric Mean (GM) method, not the Arithmetic Mean. This is explicitly stated in Part B of the press release. Statement 4 — Correct. Rare Earth Minerals are included under Metallic Minerals in the Mining & Quarrying sector, with production data sourced from IREL (India) Limited, Department of Atomic Energy — one of the four newly added source agencies. 4,000 yrs of climate history from world’s largest inhabited river island offer adaption insights Relevance : GS Paper 3 (Environment, Disaster Management & Climate Change) 1 Issue in Brief Scientists from Birbal Sahni Institute of Palaeosciences (BSIP), Lucknow published the first-ever comprehensive palaeoecological reconstruction of Majuli Island, Assam, covering nearly 4,000 years of climate and vegetation history. The study, published in Review of Palaeobotany and Palynology (Elsevier), uses pollen analysis and grain-size studies from a 150 cm deep sediment core to reconstruct past climate, vegetation, and flood dynamics of the Upper Brahmaputra Valley. Findings offer a scientific basis for climate adaptation strategies for flood-affected communities on Majuli, one of India’s most geographically and culturally vulnerable river islands. 2 Static Background Majuli Island is the world’s largest inhabited river island, located in Assam, bounded by the Brahmaputra River (south and east), Subansiri River (west), and a Brahmaputra branch (north) — making it acutely vulnerable to flooding and riverbank erosion. Majuli holds UNESCO tentative list status for its cultural significance — it is a major centre of Neo-Vaishnavite culture, a reformist Vaishnavism movement, and serves as the traditional settlement of several tribal communities. BSIP, Lucknow is an autonomous institute under the Department of Science and Technology (DST), specialising in palaeobotany, palynology, and earth sciences — the lead institution behind this study. Palynology is the scientific study of pollen and spores; pollen grains are among the most reliable proxies for past environmental conditions as they are durable and can remain preserved in sediments for thousands to millions of years. Holocene refers to the current geological epoch, beginning approximately 11,700 years ago — the study specifically covers the Mid-Late Holocene period (approximately 4040 to 500 calibrated years Before Present). The Brahmaputra basin is one of the world’s most flood-prone and seismically active river systems, making long-term climate-flood interaction studies in this region critically important for disaster risk reduction planning. 3 Key Dimensions A. Study Methodology Sediment core: A 150 cm deep core was extracted from Sakali Wetland on Majuli Island — wetland sediments are ideal archives as they accumulate and preserve pollen, organic matter, and mineral grains over millennia without significant disturbance. Pollen analysis (Palynology): Used to reconstruct past vegetation cover and infer climate conditions — different plant species produce characteristic pollen, allowing scientists to identify which vegetation types dominated in different time periods. Grain-size analysis: Used to understand river dynamics and flood intensity — coarser sediment particles indicate high-energy (stronger) flood events, while finer particles reflect calmer, low-energy depositional conditions. Coexistence Approach: A quantitative palaeoclimatic reconstruction method using modern pollen analogues to estimate past Mean Annual Temperature (MAT) and Mean Annual Precipitation (MAP) — providing numerical climate estimates rather than qualitative descriptions alone. Modern pollen analogues: Contemporary pollen samples from known vegetation types used as reference points to interpret fossil pollen assemblages — a standard methodological control in palynological research. B. Key Climate Phases Identified Period (cal. yrs. BP) Climate Phase Vegetation/Condition 4040–2260 Warm and humid Dense forest cover; resilience during 4.2 ka event 2260–1100 Fluctuating monsoon Variable flood regimes; shifting vegetation 1100–500 Relatively moist Corresponds to Medieval Climatic Anomaly Last ~500 years Declining temp. and precipitation Consistent with Little Ice Age; rising human influence The 4.2 ka (kiloannum) dry climatic event — a globally recognised severe drought event approximately 4,200 years ago — appears to have had limited ecological impact on Majuli, suggesting the region maintained ecological resilience during this period. The Medieval Climatic Anomaly (MCA), a period of relatively warmer global temperatures roughly 1,000–500 years ago, is reflected in Majuli’s record as a moist phase, showing clear synchronicity between local vegetation and global climatic forcing. The Little Ice Age signature — declining temperature and precipitation over the last ~500 years — is accompanied in Majuli’s record by increased anthropogenic influence and expansion of scattered, degraded vegetation, suggesting compounding human and climate pressures. C. Key Findings and Significance Grain-size data indicate a clear shift from low- to high-energy fluvial conditions over time — reflecting increasing hydrodynamic instability in the Brahmaputra system, with implications for future flood frequency and intensity projections. The study demonstrates clear synchronicity between local vegetation dynamics on Majuli and major global climatic events — establishing that the Upper Brahmaputra Valley is highly sensitive to broader global climate forcing, not just local factors. Multi-proxy approach (combining pollen + grain-size) is the methodological innovation — no prior study had applied this integrated framework to Majuli, making this the first comprehensive long-term environmental record for the island. Findings identify specific phases of ecological resilience and vulnerability, providing a scientific basis for targeted biodiversity conservation, wetland restoration, and sustainable land-use planning on and around the island. D. Institutional and Publication Details Lead researchers: Ms. Arya Pandey (DST-INSPIRE SRF) and Dr. Swati Tripathi (Scientist-E, BSIP, Supervisor) Collaborating institutions: BSIP Lucknow, a German institution, BHU (Banaras Hindu University), and internal BSIP collaborators Published in: Review of Palaeobotany and Palynology (Elsevier) — a peer-reviewed international journal in palaeosciences Funding mechanism: DST-INSPIRE (Innovation in Science Pursuit for Inspired Research) fellowship supported the lead researcher — a flagship DST scheme for attracting talented researchers to science 4 Critical Analysis The 4,000-year climate record fills a critical data gap in the Upper Brahmaputra Valley — prior absence of such long-term palaeoecological data meant that flood management and adaptation planning in this region lacked a historical baseline, limiting policy effectiveness. Majuli’s resilience during the 4.2 ka event is scientifically significant — it challenges assumptions that the region was uniformly vulnerable to past droughts and suggests that local hydrology and vegetation acted as buffers, a finding relevant for ecosystem-based adaptation strategies. The increasing hydrodynamic instability detected in grain-size data is alarming in the context of climate change projections — intensifying Brahmaputra floods driven by Himalayan glacial melt and erratic monsoons could accelerate land loss on Majuli beyond historical precedent. Anthropogenic influence over the last 500 years — visible in pollen records as vegetation degradation — demonstrates that human pressures compound climate stress on the island, making integrated conservation and disaster risk governance essential, not optional. Majuli’s UNESCO tentative list status creates an international obligation for India to demonstrate proactive cultural and ecological preservation — this study strengthens the scientific case for Majuli’s inscription and for disaster-resilient heritage management. The study’s policy translation gap is a limitation — while findings are scientifically robust, the pathway from palynological data to actionable flood management policy for Assam’s administration requires deliberate institutional bridging, which the study does not address. DST-INSPIRE fellowship enabling frontier research by a young researcher (SRF level) demonstrates the scheme’s role in building India’s scientific capacity in niche but strategically important earth science disciplines. 5 Way Forward Integrate palaeoecological findings into Brahmaputra flood management plans — the Brahmaputra Board (statutory body under Ministry of Jal Shakti) should incorporate long-term climate-flood interaction data into its river management and embankment planning frameworks. Scale up wetland sediment coring studies across the Brahmaputra basin — similar multi-proxy reconstructions from other wetlands and oxbow lakes in Assam and Arunachal Pradesh would build a regional climate atlas essential for basin-wide adaptation planning. Accelerate Majuli’s UNESCO World Heritage inscription — the scientific credibility of this study strengthens India’s nomination dossier; MoEFCC and ASI should use these findings in the Outstanding Universal Value (OUV) documentation for Majuli. Develop community-based wetland conservation frameworks for Sakali Wetland and similar ecosystems on Majuli — these archives of climate history must be protected from drainage, construction, and agricultural encroachment through Wetlands (Conservation and Management) Rules, 2017. Link findings to the National Action Plan on Climate Change (NAPCC) — specifically the National Water Mission and National Mission for a Green India — to mainstream long-term climate evidence into adaptation scheme design for flood-prone riverine communities. Strengthen DST-INSPIRE and BSIP funding for palaeosciences — India’s capacity in palaeoecology and palynology remains limited relative to its vast geological and ecological diversity; sustained institutional investment is necessary for building this strategic scientific capability. 6 Prelims Pointers Majuli Island: World’s largest inhabited river island | Located in Assam Rivers bounding Majuli: Brahmaputra (south, east), Subansiri (west), Brahmaputra branch (north) UNESCO status of Majuli: Tentative list (not yet inscribed as World Heritage Site) Cultural significance: Major centre of Neo-Vaishnavite culture; tribal settlements Lead institution: Birbal Sahni Institute of Palaeosciences (BSIP), Lucknow BSIP under: Department of Science and Technology (DST) Study period: ~4,000 years | Mid-Late Holocene | 4040 to 500 cal. yrs. BP Sediment core depth: 150 cm | Site: Sakali Wetland, Majuli Methods used: Palynology (pollen analysis) + Grain-size analysis (multi-proxy approach) Quantitative climate method: Coexistence Approach — estimates past MAT and MAP 4.2 ka event: Globally recognised severe drought ~4,200 years ago; Majuli showed resilience Medieval Climatic Anomaly: Reflected as moist phase during 1100–500 cal. yrs. BP on Majuli Little Ice Age: Last ~500 years; declining temperature + precipitation + rising human influence Published in: Review of Palaeobotany and Palynology (Elsevier) Lead researcher fellowship: DST-INSPIRE SRF (Innovation in Science Pursuit for Inspired Research) Pollen: Durable biological proxy; preserved in sediments for thousands to millions of years Grain-size data finding: Shift from low- to high-energy fluvial conditions over time Brahmaputra Board: Statutory body under Ministry of Jal Shakti Wetlands Rules: Wetlands (Conservation and Management) Rules, 2017 7 Practice Mains Question Q. Palaeoecological studies can serve as a scientific foundation for climate adaptation and disaster risk reduction in vulnerable riverine ecosystems. Critically examine this argument with reference to the recent Majuli Island climate reconstruction study.(GS Paper 3 — Environment and Ecology / Disaster Management — 15 marks) Answer structure hints: Define palaeoecology and palynology; explain why long-term climate data matters for policy Describe Majuli’s geographical and cultural vulnerability; explain the study’s methodology briefly Analyse key findings — resilience during 4.2 ka event, increasing fluvial instability, anthropogenic influence Link findings to flood management, wetland conservation, UNESCO inscription, NAPCC missions Critical angle — policy translation gap, data-to-governance bridge, scaling up such studies Conclude with institutional recommendations: Brahmaputra Board, BSIP funding, community conservation 8 Practice MCQ with Explanation Q. With reference to the palaeoecological study on Majuli Island published in 2026, consider the following statements: Majuli Island is bounded by the Brahmaputra River to the south and east, and the Subansiri River to the west. The study used the Coexistence Approach to reconstruct past Mean Annual Temperature and Mean Annual Precipitation. Grain-size analysis in the study was used primarily to reconstruct past vegetation cover on the island. The study found that Majuli showed ecological resilience during the globally recognised 4.2 ka dry climatic event. Which of the statements given above are correct? (A) 1, 2 and 4 only (B) 2 and 3 only (C) 1 and 4 only (D) 1, 2, 3 and 4 Answer: (A) 1, 2 and 4 only Explanation: Statement 1 — Correct. The press release explicitly states Majuli is bounded by the Brahmaputra to the south and east, and the Subansiri River to the west, with a Brahmaputra branch to the north. Statement 2 — Correct. The Coexistence Approach is specifically identified as the quantitative palaeoclimatic reconstruction method used to estimate past MAT and MAP values from modern and fossil pollen records. Statement 3 — Incorrect. Grain-size analysis was used to understand river dynamics and flood intensity, not vegetation. Pollen analysis was the method used for reconstructing past vegetation cover — the two methods serve distinct purposes in this multi-proxy study. Statement 4 — Correct. The study records an early warm and humid phase (4040–2260 cal. yrs. BP) with dense forest cover, explicitly described as suggesting resilience during the 4.2 ka dry climatic event.