🗞️ Why in News A Down To Earth analysis of satellite data reveals that forest fires in high-elevation areas of the western Himalayas have quadrupled over the past decade — from 514 fires at 2,500 m and above in 2013-14 to 1,988 in 2025-26. Fires are now climbing to elevations previously thought immune, driven by warming temperatures, declining snowfall, and shifting precipitation patterns.
The Upward Shift — Key Data
- DTE analysed fire trends during the active fire season (November 1 to June 1)
- Western Himalayas (≥2,500 m): 514 fires (2013-14) → 1,988 fires (2025-26) = 4x increase
- Historically, most Himalayan fires occurred below 2,000 m — near-surface temperatures higher, more human activity
- Now fires detected at 2,000 to 4,000 m across the entire Himalayan arc (western to eastern)
- Central and eastern Himalayas: fires traditionally rare above 2,800-3,000 m; now traced to ~3,000 m
- High-elevation fires are often “massive or high-energy events” — fuelled by large dry biomass accumulations in areas with limited fire management
Eastern Himalaya Escalation
- Arunachal Pradesh (Feb 13-19, 2026): recorded nearly 200 times more fire incidents than the same period a year earlier
- Fires at unusually high elevations forced the Indian Air Force to conduct firefighting operations at ~2,900 m
- Nagaland: sharp escalation in January-February 2026
Expanding Burn Area
| Region | Period | Data |
|---|---|---|
| Western Himalayas | 2001-2019 | Burned area increased by 73 sq km |
| Eastern Himalayas | 2001-2020 | Average annual burn area: over 3,100 sq km |
Triggering Factors
1. El Niño Connection
- El Niño (warm phase of ENSO) brings hotter, drier conditions across India → favourable for fire ignition and spread
- Peak fire years corresponded with El Niño: 2004, 2006, 2009, 2010, 2012, 2014, 2016
- Underscores the role of large-scale climatic oscillations in intensifying regional fire activity
2. Himalayan Warming
- The Himalayan region is warming faster than the rest of India — altering vegetation patterns and drying forest floors
- Temperature exerts a stronger influence on fire activity than precipitation deficit during the pre-monsoon months (March-May)
3. Declining Snowfall & Western Disturbance Shift
- High-altitude western Himalayan areas: snowfall has declined in recent winters, making forests increasingly combustible
- Western disturbances (extratropical storms originating near the Mediterranean) — the primary source of winter precipitation for western Himalayas
- Their activity has shifted towards spring and summer months — fewer now produce snowfall
- 2025-26 winter: only a handful of western disturbances resulted in snowfall
4. Rainfall Concentration & Lengthening Fire Season
- Climate change is concentrating rainfall into the June-September monsoon, while the rest of the year grows drier
- If monsoon arrives late → forests remain dry during fire season → trees shed more leaves → increased ground biomass = fuel
- Fire season is lengthening — traditionally March-May, now extending to mid-June as southwest monsoon delays
Ecological Consequences
Forest Composition Change
- Repeated fires are reshaping ecology of the middle and higher Himalayas
- Fire-intolerant native species shrinking: rhododendron, Himalayan oak
- Replaced by fire-tolerant invasives: pines, undergrowth weeds like lantana
- Forest structure shifting from dense, closed-canopy stands → open woodlands
Soil Degradation & Landslide Risk
- Fires deplete soil nutrients and moisture while increasing soil acidity
- Declining fertility and erosion on steep slopes
- Vegetation loss on Himalayan slopes → triggers landslides during monsoon → affects long-term ecological stability
Emissions Inventory (2001-2020, Himalayan Fires)
- CO₂ released: average 40.81 teragrams (Tg)/year
- Carbon monoxide: 2.52 Tg/year
- Plus substantial quantities of methane, nitrogen oxides, sulphur dioxide, ammonia, and fine particulate matter (PM2.5)
Glacier Melt Acceleration
- Black carbon from biomass burning settles on Himalayan glaciers (Gangotri, Tapovan) during peak fire season
- Reduces surface albedo (reflectivity) → accelerates ice melt
- Creates a dangerous positive feedback loop: warming → fires → black carbon → glacier melt → more warming
Way Forward
Prevention Over Suppression
- Himalaya’s rugged terrain makes active fire suppression extremely difficult — prevention is critical
- Satellite imagery can identify areas with heavy fuel loads before the fire season
- Create fuel breaks, thin ground vegetation, remove accumulated litter (especially chir pine needles)
Community-Based Approaches
- Combine technological tools with indigenous knowledge and community participation
- Strengthen the Van Panchayat system — village-based forest governance institutions (especially in Uttarakhand)
- Could reduce fire risk while providing livelihoods (controlled burning, fuel removal as employment)
Critical Evaluation for UPSC Mains
Inter-linkages
- Climate change → fire → biodiversity loss → soil degradation → landslides → livelihood destruction — a cascading chain
- Water security: Himalayan glaciers (fed by snowfall, degraded by black carbon) supply rivers for ~1.65 billion people
- Carbon feedback: Forest fires release CO₂ → further warming → more fires → forests shift from carbon sink to carbon source (parallels the Amazon reversal documented in SOE 2026)
- Van Panchayat connection: DTE March also covers the regressive Van Panchayat amendments in Uttarakhand (see Chapter 11) — weakening these institutions while fires escalate is dangerously counterproductive
Policy Gaps
- India has no dedicated mountain fire policy — forest fire management is generic, not altitude-sensitive
- National Action Plan on Forest Fires (2018) exists but implementation is weak — focus on plains and lower hills
- Need: elevation-specific fire risk zoning, early warning systems integrated with western disturbance forecasts, and dedicated high-altitude fire response teams
UPSC Angle
- Prelims: Western disturbances, El Niño/ENSO, MODIS/VIIRS satellite fire monitoring, Van Panchayat, black carbon, albedo effect, chir pine
- Mains GS-1: Physical geography — Himalayan climate, western disturbances, glaciology, geomorphology (landslides)
- Mains GS-3: Environment — forest fires, climate change impacts, biodiversity loss, disaster management, carbon emissions
- Essay: “When mountains burn — the forgotten fire crisis of the Himalayas”
📌 Facts Corner — Knowledgepedia
Himalayan Fire Data (DTE Satellite Analysis):
- Western Himalayas fires at ≥2,500 m: 514 (2013-14) → 1,988 (2025-26) = 4x increase
- Active fire season: November 1 to June 1
- Fire season lengthening: March-May → extending to mid-June
- Arunachal Pradesh (Feb 13-19, 2026): 200x more fires than same period previous year
- IAF firefighting operations at ~2,900 m elevation
Burn Area:
- Western Himalayas: increased by 73 sq km (2001-2019)
- Eastern Himalayas: average annual burn area >3,100 sq km (2001-2020)
Emissions (Himalayan Fires, 2001-2020 average):
- CO₂: 40.81 Tg/year
- CO: 2.52 Tg/year
- Plus methane, NOx, SO₂, ammonia, PM2.5
Climate Drivers:
- El Niño years = peak fire years (2004, 2006, 2009, 2010, 2012, 2014, 2016)
- Himalayas warming faster than rest of India
- Western disturbances shifting to spring/summer; fewer producing snowfall
- Rainfall concentrating in June-September monsoon
Ecological Impact:
- Fire-intolerant species declining: rhododendron, Himalayan oak
- Fire-tolerant invasives spreading: pines, lantana
- Dense canopy → open woodland transition
- Black carbon on glaciers (Gangotri, Tapovan) → albedo reduction → accelerated melt
Key Experts Cited:
- Somnath Bar — postdoctoral fellow, University of California, Irvine
- Vishwambhar Prasad Sati — professor of geography, Mizoram University, Aizawl
Other Relevant Facts:
- National Action Plan on Forest Fires: launched 2018
- Van Panchayats: community forest governance (Uttarakhand); under threat from PVN 2024 amendments
- Chir pine (Pinus roxburghii): needles are highly flammable ground fuel — major fire accelerant
- India’s forest fire prone area: ~36% of total forest cover (FSI estimate)
- Himalayan glaciers supply water to ~1.65 billion people across South Asia
Sources: Down to Earth, Natural Hazards journal, GIScience and Remote Sensing