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Forest Survey of India (FSI) — Organisation & Activities
India’s premier institution for scientific assessment of forest resources
💡 Think of FSI as a Doctor Who Does a Full-Body Check-up of India’s Forests Every 2 Years
Just as a doctor checks your blood pressure, weight, and heart rate regularly — FSI checks India’s “forest vitals” every two years: total forest cover, canopy density, carbon stored, fires, bamboo, soil health, and mangroves. The result is the ISFR (India State of Forest Report) — like a comprehensive health report card for all of India’s 7.15 lakh sq km of forest. And just like a health report reveals both good news (some forests growing) and bad news (dense forests declining) — ISFR 2023 tells the same story: India’s green cover is growing in total, but dense forests are being degraded into open forests.
Forest Survey of India (FSI) — Key Facts
- Established: 1 June 1981 (restructured from the Pre-Investment Survey of Forest Resources / PISFR — a project started in 1965 with FAO + UNDP assistance)
- HQ: Dehradun, Uttarakhand (at Forest Research Institute campus)
- Under: Ministry of Environment, Forest and Climate Change (MoEFCC)
- Publication: India State of Forest Report (ISFR) — published biennially (every 2 years) since 1987. ISFR 2023 is the 18th edition.
- Satellite used: ISRO’s LISS-III sensor on IRS Resourcesat satellites (spatial resolution: 23.5 metres). Data acquired during October–December for cloud-free images with full foliage.
- Mapping scale: 1:50,000 | Minimum Mapping Unit (MMU): 1 hectare
Objectives of FSI
- Biennial assessment of India’s forest cover and tree cover using satellite imagery
- Conduct National Forest Inventory (NFI) — field-based assessment of growing stock (timber volumes), bamboo, and other forest resources
- Monitor forest fires in real time using MODIS/VIIRS satellite sensors and GIS technology (since 2004)
- Estimate carbon stock in India’s forests for UNFCCC/Paris Agreement reporting
- Assess mangrove cover, bamboo resources, Trees Outside Forests (TOF), and agroforestry
- Develop India’s Forest Reference Emission Levels (FREL) for REDD+ mechanisms
- Provide data for FAO’s Global Forest Resources Assessment and international reporting
- Train forest department personnel across states
- Publish state/UT-wise and district-level forest data for policy planning
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Key Definitions — The UPSC Trap Zone
Students often confuse these — get them right once and for all
📌 UPSC Warning — These Definitions Are Frequently Tested and Confused!
Four terms look similar but are different: Forest Cover ≠ Forest Area ≠ Recorded Forest Area ≠ Tree Cover. The trick: “Forest Cover” is about CANOPY DENSITY — not legal status. “Recorded Forest Area” is about LEGAL RECORDS — not what’s on the ground. A private mango orchard with 10%+ canopy counts as Forest Cover but is NOT Recorded Forest Area.
What is Forest Cover? (FSI Definition)
Forest Cover — The FSI Standard
Forest Cover = all land ≥1 hectare in area, with a tree canopy density of ≥10%, irrespective of ownership and legal status
- Includes: orchards, bamboo, palms — if they meet the 1 hectare + 10% canopy density criteria
- Includes: private land, community land, government land — regardless of who owns it
- Excludes: land with tree canopy below 10% (classified as scrub) even if it is “legally a forest”
- Key: FSI forest cover ≠ legal forest. A legally-declared forest that has been degraded below 10% canopy is NOT counted as forest cover. A private plantation with 10%+ canopy IS counted.
- FSI uses this definition for mapping — it captures the actual green cover on the ground, not what the law says
Canopy Density Categories — The 4 Types
≥70%
VDF
Very Dense Forest
Canopy density 70% or more. Richest, most ecologically valuable. Evergreen & dense tropical forests.
40–70%
MDF
Moderately Dense Forest
Canopy density 40–70%. Mixed tropical forests, sal/teak forests. Significant wildlife habitat.
10–40%
OF
Open Forest
Canopy density 10–40%. Often degraded or dry forests. Most common category in India. Many show agroforestry increase.
<10%
Scrub
Scrub
Canopy density below 10%. NOT counted in forest cover. Shrubs interspersed with scattered trees.
Other Important Definitions
| Term | Definition | UPSC Trap |
|---|---|---|
| Tree Cover | Trees outside Recorded Forest Areas — from single trees to patches <1 ha. Includes trees in fields, roadsides, homesteads. | Tree Cover + Forest Cover = Total Green Cover. Tree cover is NOT forest cover. |
| Recorded Forest Area (RFA) | Areas officially notified as forest under law (Indian Forest Act 1927 etc.). Includes Reserved Forests (RF), Protected Forests (PF), and Unclassed Forests. | RFA = Legal status. Forest Cover = Ground reality. They overlap but are NOT the same. |
| Reserved Forest (RF) | Most strictly protected under Indian Forest Act 1927. No rights of user (except by Govt). Grazing, felling, encroachment all prohibited. | RF is the MOST protected category of Recorded Forest Area. |
| Protected Forest (PF) | Some rights of user allowed (limited). Less strict than RF. State government can permit some activities. | PF ≠ Protected Area (PA). PF is a forest classification; PA is under WPA 1972. |
| Trees Outside Forests (TOF) | All trees growing outside forest areas — agroforestry, home gardens, urban trees, road-side trees, etc. Major source of timber. | TOF provides 91.51 million cubic metres of annual potential timber — MORE than plantation forests. |
| Forest and Tree Cover | Forest Cover + Tree Cover combined = 8,27,357 sq km (25.17%) as per ISFR 2023 | National Forest Policy 1988 target = 33%. India is at 25.17% — short of the 33% target. |
⭐ Memory Trick — Definitions in One Line Each
- Forest Cover = Canopy ≥10%, Area ≥1 ha, Any land → “1-10 rule on any land”
- Tree Cover = Trees on ANY land, patch <1 ha → “Small patches outside forests”
- RFA = Legally declared forest in records (RF + PF) → “What the government SAYS is forest”
- Forest Cover = What is ACTUALLY green (≥10% canopy) → “What satellite SEES as forest”
- VDF ≥70% · MDF 40–70% · OF 10–40% · Scrub <10%
- Target: 33% (National Forest Policy 1988) | Current: 25.17% — shortfall of ~7.8%
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ISFR 2023 — Key Forest and Tree Cover Findings 2023 Data
18th edition · Released at Forest Research Institute, Dehradun · Released by Environment Minister Bhupender Yadav
8,27,357
25.17%
Total Forest & Tree Cover (sq km)
7,15,343
21.76%
Forest Cover only (sq km)
1,12,014
3.41%
Tree Cover only (sq km)
+1,445
vs 2021
Increase since ISFR 2021 (Forest: +156 | Tree: +1,289)
7,285.5
MT
Total carbon stock (million tonnes) — up 81.5 MT
4,992
–7.43 sq km
Mangrove cover (sq km) — decreased from 2021
🔴 Important Nuance — Are India’s Forests Really Growing?
ISFR 2023 shows an overall increase of +1,445 sq km in forest and tree cover — positive headline. But the detailed picture is more complex:
- Good news: Total forest + tree cover grew by +1,445 sq km vs 2021
- Concern 1 — Dense forest loss: A total of 3,656 sq km of dense forests (VDF + MDF) degraded — 294.75 sq km of VDF and 3,361.5 sq km of MDF were converted to lower-density or non-forest categories
- Concern 2 — Northeast decline: Northeast region saw a 327.30 sq km decrease in forest cover — despite being India’s richest forest zone (67% cover)
- The increase is mainly in Open Forest — driven by agroforestry and tree planting programmes, not natural dense forest growth
- This pattern — total cover growing, dense forests shrinking — is a concerning long-term trend for biodiversity and ecosystem services
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State Rankings — ISFR 2023
Know the top states by area, percentage, and change — UPSC asks these every year
| Ranking Category | Rank 1 | Rank 2 | Rank 3 | Note |
|---|---|---|---|---|
| Largest Forest Cover (Area) | MP (77,073 sq km) | Arunachal Pradesh (65,882) | Chhattisgarh (55,812) | Area-wise giants — large states with vast forests |
| Largest Forest + Tree Cover (Area) | MP (85,724 sq km) | Arunachal Pradesh (67,083) | Maharashtra (65,383) | Including tree cover outside forests |
| Highest % Forest Cover | Lakshadweep (91.33%) | Mizoram (85.34%) | A&N Islands (81.62%) | Island territories + NE states dominate percentage rankings |
| Max Increase (Forest + Tree Cover) | Chhattisgarh (+684 sq km) | UP (+559) | Odisha (+559) | Rajasthan (+394) also notable |
| Max Increase (Forest Cover only) | Mizoram (+242 sq km) | Gujarat (+180) | Odisha (+152) | — |
| Max Decrease (Forest Cover) | Madhya Pradesh | Nagaland | Ladakh | Karnataka also notable decrease |
| States with >75% Forest Cover | Mizoram, Lakshadweep, A&N Islands, Arunachal Pradesh, Nagaland, Meghalaya, Tripura, Manipur — 8 states/UTs | All 8 are NE states or islands | ||
| States with >33% Forest Cover | 19 states/UTs above the national 33% target | NFP 1988 target = 33% | ||
| Max Bamboo Bearing Area | MP | Arunachal Pradesh | Maharashtra | Odisha also significant; total: 1,54,670 sq km (up 5,227 sq km) |
| Mangrove — Max Decrease | Gujarat (–36.39 sq km) | A&N Islands (–4.65) | — | National decrease: –7.43 sq km overall |
| Mangrove — Max Increase | Andhra Pradesh (+13.01) | Maharashtra (+12.39) | — | Natural regeneration + state planting |
| Forest Fire — Most Incidents (2023-24) | Uttarakhand | Odisha | Chhattisgarh | 32.06% of Indian forests are “highly fire-prone” |
⭐ State Rankings Memory — ISFR 2023
- Largest forest area (3): MP → Arunachal → Chhattisgarh (MAC)
- Highest % forest cover (3): Lakshadweep → Mizoram → A&N Islands (LMA)
- Max increase forest+tree (3): Chhattisgarh → UP → Odisha (CUO)
- Max increase forest only (3): Mizoram → Gujarat → Odisha (MGO)
- 8 states above 75% forest: All NE states + Lakshadweep + A&N Islands
- 19 states above 33% forest cover
- Mangrove decrease: Gujarat (worst) | Mangrove increase: Andhra Pradesh (best)
- Fire top 3: Uttarakhand → Odisha → Chhattisgarh
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Special Regions — Northeast India & Western Ghats
India’s richest forest zones — but both facing pressure
Northeast India — India’s Forest Powerhouse
8 states · 67% forest/tree cover · But declining
- Total forest and tree cover in Northeast: 1,74,394.70 sq km = 67% of geographical area — India’s most densely forested region
- Alarming trend: Forest cover DECREASED by 327.30 sq km in the current assessment — the region is losing forests despite its high coverage
- Causes: Shifting cultivation (jhum), infrastructure development, urbanisation, settlement expansion
- 8 states with >75% forest cover are all from NE or island regions
- Exception: Mizoram shows an increase of 242 sq km in forest cover — bucking the regional declining trend
- North Eastern states also showed decline in ISFR 2021 — this is a persistent long-term concern
- NE region is part of the Indo-Burma Biodiversity Hotspot — forest loss here has disproportionate biodiversity consequences
Western Ghats — UNESCO WHS + Biodiversity Hotspot
73% of WGESA under forest cover · But losing 58.22 sq km over a decade
- Forest cover in Western Ghats Eco-Sensitive Areas (WGESA): 44,043.99 sq km = 73% of WGESA
- Loss over 10 years: –58.22 sq km of forest cover lost in eco-sensitive zones over a decade
- The Western Ghats is both a UNESCO World Heritage Site (2012) and one of the world’s 8 biodiversity hotspots
- Major states: Kerala (highest % WG forest), Karnataka, Tamil Nadu, Maharashtra, Goa
- Threats: Plantation agriculture (tea, coffee, eucalyptus), road construction, quarrying, tourism pressure
- The Gadgil Committee report (2011) had recommended strong protections — still a contested policy area
Hill Districts — India’s Highlands
40% forest cover · But infrastructure pressure
- Total forest cover in hill districts: 2,83,713.20 sq km = 40% of geographical area of hill districts
- India’s hill districts are ecologically critical: watershed protection, landslide prevention, river sources
- National Forest Policy 1988 target for hills/mountains: maintain 2/3rd (67%) under forest cover to prevent erosion — current 40% is well short
- Infrastructure development (roads, tunnels, hydro projects) in hill districts is a major pressure point
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Mangrove Cover — ISFR 2023
4,992 sq km — a net decrease vs 2021 despite gains in some states
Mangrove Cover — Key Numbers
- Total mangrove cover: 4,991.68 sq km = 0.15% of India’s geographical area
- Change vs ISFR 2021: Net decrease of 7.43 sq km — mangrove cover declined
- Present in: 12 States/UTs (9 States + 3 UTs)
- States with significant decrease:
- Gujarat: –36.39 sq km (largest decrease)
- Andaman & Nicobar Islands: –4.65 sq km
- States with increase:
- Andhra Pradesh: +13.01 sq km (largest increase — natural regeneration and plantation)
- Maharashtra: +12.39 sq km
- Exception to Gujarat rule: All other states/UTs showed mangrove increase — the problem is concentrated in Gujarat and Andamans
- India has the world’s largest mangrove forest in the Sundarbans (West Bengal)
- Global: India ranks 3rd in the world in mangrove cover — after Indonesia and Brazil
📌 UPSC Key — Mangroves
ISFR uses a separate, more detailed methodology for mangrove mapping (scale: 1:12,500) — higher resolution than general forest mapping. Mangroves are critical for: coastal protection, carbon storage (“blue carbon”), fishery nurseries, cyclone buffers. India’s mangrove initiative: MISHTI (Mangrove Initiative for Shoreline Habitats and Tangible Incomes) — launched in Union Budget 2023-24 to protect and restore mangroves along India’s coastline. World Mangrove Day: 26 July.
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Carbon Stock & NDC Target — Climate Connection
India’s forests as a climate solution — Paris Agreement progress
Carbon Stock in India’s Forests — ISFR 2023
7,285.5 million tonnes | Progress towards Paris Agreement NDC
- Total carbon stock in India’s forests: 7,285.5 million tonnes (MT)
- Increase since ISFR 2021: +81.5 million tonnes
- Breakdown: Soil organic carbon accounts for 55.06% of total stock (largest component)
- India’s carbon stock = 30.43 billion tonnes of CO₂ equivalent
- NDC Progress: India committed under the Paris Agreement to create an additional carbon sink of 2.5–3.0 billion tonnes of CO₂ equivalent by 2030 through forest and tree cover expansion
- Status: India has already achieved 2.29 billion tonnes of additional carbon sink compared to 2005 baseline — well on track towards the 2030 target
- Annual carbon sequestration rate equivalent to reducing CO₂ emissions by 149 million tonnes annually
- Growing stock (total timber volume in forests + TOF): 6,430 million cubic metres — increase of 262 million cubic metres vs 2021
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Forest Fire — Threat and Monitoring
32% of India’s forests are highly fire-prone — Uttarakhand 2024 worst hit
Forest Fire in India — ISFR 2023 Data
2023-24 season | Uttarakhand most fire incidents | MODIS/VIIRS monitoring
- Top 3 states with most fire incidents (2023-24 season): Uttarakhand → Odisha → Chhattisgarh
- Fire prone category: 32.06% of India’s forests are classified as “Highly Fire Prone”
- FSI monitors fires using MODIS and VIIRS satellite sensors + GIS technology in near real-time (since 2004)
- FSI’s Forest Fire Alerts System provides real-time fire alerts to forest departments
- Fire Proneness Categories: Highly Fire Prone · Moderately Fire Prone · Less Fire Prone · Not Fire Prone
- Causes: Dry leaf litter in deciduous forests, human-caused fires (agricultural burning spreading), climate change extending dry seasons
- Impact: Forest fires degrade forest quality, kill wildlife, release stored carbon, reduce regeneration capacity — reversing conservation gains
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Bamboo, Trees Outside Forests (TOF) & Agroforestry
The hidden green wealth — trees outside forests contribute more timber than plantations
Bamboo Bearing Area — ISFR 2023
- Total bamboo bearing area: 1,54,670 sq km
- Increase since ISFR 2021: +5,227 sq km — significant growth
- Maximum bamboo area: Madhya Pradesh → Arunachal Pradesh → Maharashtra → Odisha
- India is the world’s 2nd largest bamboo producer after China
- Bamboo importance: Construction, handicrafts, paper, food (bamboo shoots), bioenergy. India amended the Indian Forest Act 1927 in 2017 — bamboo grown outside forests is now NOT classified as “tree” (removed from Indian Forest Act purview) — making it easier for farmers to harvest bamboo on their land
Trees Outside Forests (TOF) — ISFR 2023
- TOF = all trees growing outside forest areas (fields, roadsides, homesteads, urban areas)
- Potential annual timber production from TOF: 91.51 million cubic metres
- Growing stock in TOF: 1,950.75 million cubic metres (30% of total growing stock)
- TOF increased by 171.40 million cubic metres (9.63%) since 2021 — faster growth than forests
- TOF is a critical source of rural livelihoods and a major contributor to carbon sequestration
Agroforestry — ISFR 2023
- Agroforestry green cover: 1,27,590 sq km — a 21% increase since 2013
- Increase since 2013: +21,286.57 sq km
- Growing stock under agroforestry: 1,291.68 million cubic metres — 28.56% increase vs 2013
- Key states with agroforestry-driven tree cover increase: Chhattisgarh, Rajasthan, Uttar Pradesh
- Government scheme: Sub-Mission on Agroforestry (SMAF) — promotes integration of trees on agricultural land
- Much of the increase in “Open Forest” and “Tree Cover” in ISFR 2023 is attributed to agroforestry expansion — not natural forest regeneration
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Policy Context — National Forest Policy & International Commitments
What ISFR 2023 means for India’s forest goals
National Forest Policy 1988
India’s foundational forest policy — sets the 33% target
- Primary objective: Maintain environmental stability and ecological balance — not timber production (unlike earlier policies)
- Forest cover target: 33% of India’s total land area under forest and tree cover (current: 25.17% — shortfall of ~7.83%)
- Hills and mountains: 2/3rd (67%) of hill areas should remain under forest cover — to prevent erosion and landslides
- Priority order: Environmental protection > Community rights > Tribal rights > Industrial timber (reversed from earlier policy)
- Promotes Joint Forest Management (JFM) — community participation in forest protection
- India is working on a New National Forest Policy to replace the 1988 policy — draft has been under discussion
Bonn Challenge — India’s Restoration Commitment
26 million ha restoration by 2030
- The Bonn Challenge is a global effort to bring 350 million hectares of degraded land under restoration by 2030
- India’s commitment: 26 million hectares of degraded land restoration by 2030
- Part of India’s INDC/NDC under the Paris Agreement
- India also committed to creating 2.5–3.0 billion tonnes of CO₂ equivalent additional carbon sink through forest/tree cover — already achieved 2.29 billion tonnes
- ISFR 2023 data is used to track progress on Bonn Challenge commitments
National Forest Inventory (NFI) & REDD+
FSI’s ground-based field inventory + global carbon mechanism
- National Forest Inventory (NFI): Field-based assessment where FSI teams visit thousands of sample plots across India to physically measure tree height, diameter, species composition, and health — combined with satellite data for comprehensive estimates
- REDD+ (Reducing Emissions from Deforestation and Forest Degradation) — international mechanism under UNFCCC that pays developing countries for reducing forest-based emissions and maintaining carbon stocks
- FSI develops India’s Forest Reference Emission Levels (FREL) for REDD+ reporting
- ISFR data feeds directly into India’s reporting under UNFCCC, Paris Agreement, CBD, and FAO’s Global Forest Resources Assessment
⭐ ISFR 2023 — Complete UPSC Master Cheat Sheet
- FSI: Est. 1 June 1981 | HQ: Dehradun, Uttarakhand | Under: MoEFCC
- ISFR: Published biennially since 1987 | ISFR 2023 = 18th edition | Satellite: ISRO LISS-III
- Total Forest + Tree Cover: 8,27,357 sq km (25.17%) of India’s land area
- Forest Cover: 7,15,343 sq km (21.76%) | Tree Cover: 1,12,014 sq km (3.41%)
- Increase vs 2021: +1,445 sq km (forest +156; tree +1,289)
- Target (National Forest Policy 1988): 33% — India is at 25.17% (shortfall of ~8%)
- Canopy density: VDF ≥70% · MDF 40–70% · OF 10–40% · Scrub <10%
- Largest forest area: MP → Arunachal → Chhattisgarh
- Highest % forest cover: Lakshadweep (91.33%) → Mizoram (85.34%) → A&N Islands (81.62%)
- Max forest increase: Mizoram (242) → Gujarat (180) → Odisha (152) (forest only)
- NE Region: 67% forest cover but –327.30 sq km decrease
- Carbon stock: 7,285.5 million tonnes (+81.5 MT) | NDC progress: 2.29 billion tonnes additional CO₂ sink achieved
- Mangrove: 4,992 sq km (–7.43 sq km) | Gujarat worst (–36.39) | AP best (+13.01)
- Bamboo: 1,54,670 sq km (+5,227) | Max: MP → AP → Maharashtra
- TOF timber potential: 91.51 million cubic metres/year
- Forest Fire top 3: Uttarakhand → Odisha → Chhattisgarh | 32.06% forests highly fire-prone
- Bonn Challenge: India commits to 26 million hectares restoration by 2030
- Dense forest loss: 3,656 sq km of VDF+MDF degraded — the hidden bad news in ISFR 2023
- 19 states above 33% | 8 states above 75% forest cover
🧪 Practice MCQs — Test Yourself
Q1. As per the India State of Forest Report (ISFR) 2023, which of the following is/are correct?
1. The total forest and tree cover of India is 25.17% of the geographical area.
2. Madhya Pradesh has the largest forest cover in terms of area.
3. Lakshadweep has the highest percentage of forest cover with respect to its geographical area.
4. The total forest and tree cover increased by 1,445 sq km compared to ISFR 2019.
Select the correct answer:
✅ Answer: (c) — 1, 2 and 3 only
1 ✅: Total Forest + Tree Cover = 8,27,357 sq km = 25.17% of India’s geographical area. Correct. 2 ✅: Madhya Pradesh has the largest forest cover by area = 77,073 sq km. Correct. 3 ✅: Lakshadweep has the highest percentage = 91.33% forest cover relative to its geographical area. Correct. 4 ❌ Wrong: The comparison in ISFR 2023 is with ISFR 2021 — NOT 2019. The 1,445 sq km increase is compared to the previous assessment done in 2021. ISFR is biennial — so ISFR 2023 compares with ISFR 2021. This is a common UPSC year-confusion trap.
With reference to India’s forest cover, consider the following statements:
1. “Forest cover” refers to all land with tree canopy density of 10% or more, irrespective of ownership.
2. Recorded Forest Area is the same as Forest Cover.
3. Trees outside forests are counted in “Tree Cover” and not “Forest Cover.”
Which of the above statements is/are correct?
✅ Official Answer: (c) 1 and 3 only
1 ✅: Forest Cover = all land ≥1 ha with tree canopy density ≥10%, irrespective of ownership and legal status. A private mango orchard counts if it meets these criteria. Correct. 2 ❌ Wrong: Recorded Forest Area (RFA) ≠ Forest Cover. RFA = areas officially notified as forests in government records (legal classification). Forest Cover = what actually has ≥10% canopy density (ecological reality). Some RFA areas may have degraded to below 10% canopy (not counted as forest cover), and some non-RFA areas may have 10%+ canopy (counted as forest cover). 3 ✅: Trees outside recorded forest areas — from single trees to patches less than 1 ha — are counted in “Tree Cover,” not “Forest Cover” (which requires ≥1 ha minimum area).
Q3. What is the canopy density threshold for “Very Dense Forest” (VDF) as defined by Forest Survey of India?
✅ Answer: (c) ≥70% canopy density
FSI classifies forest cover into density-based categories: Very Dense Forest (VDF): Canopy density ≥70%. Moderately Dense Forest (MDF): 40–70%. Open Forest (OF): 10–40%. Scrub: <10% (NOT counted in forest cover). The critical distinction: all three (VDF, MDF, OF) are counted as “Forest Cover” — but Scrub is NOT. This classification matters for UPSC because India’s big concern is dense forest (VDF+MDF) being degraded to Open Forest (OF) — the total numbers look good, but the quality is declining. ISFR 2023 showed 3,656 sq km of VDF+MDF degraded.
Q4. Consider the following about the Northeast region and forest cover (ISFR 2023):
1. The Northeast region has forest and tree cover of 67% of its geographical area.
2. The Northeast region saw an increase in forest cover in the current (2023) assessment.
3. Mizoram saw an increase in forest cover despite the overall NE decline.
4. The North Eastern states are part of the Indo-Burma Biodiversity Hotspot.
Which are CORRECT?
✅ Answer: (d) — 1, 3 and 4 only
1 ✅: Northeast has 1,74,394.70 sq km of forest and tree cover = 67% of the geographical area of these states. Correct. 2 ❌ Wrong: The Northeast region saw a DECREASE of 327.30 sq km in forest cover in ISFR 2023 — not an increase. This is the OPPOSITE of the national trend and a persistent concern. 3 ✅: Mizoram specifically saw an increase of 242 sq km in forest cover — bucking the regional declining trend (and ranking #1 in forest cover increase nationally). 4 ✅: Northeast India is part of the Indo-Burma Biodiversity Hotspot — one of the world’s 36 biodiversity hotspots. Forest loss here is particularly alarming for global biodiversity.
Q5. The National Forest Policy 1988 sets a target of what percentage of India’s total land area to be under forest and tree cover?
✅ Answer: (b) 33% of total land area
The National Forest Policy 1988 set a target of maintaining 33% of India’s total geographical area under forest and tree cover (for ecological stability and environmental balance). For hills and mountainous regions, it further specified that 2/3rd (67%) of the area should remain under forest cover to prevent soil erosion and landslides. India’s current status (ISFR 2023): 25.17% — a shortfall of approximately 8% from the 33% target. Option (d) is partially correct about hills (67% = 2/3rd for hills) but incorrect about the overall national target. The 33% figure is one of the most frequently asked UPSC forest statistics.
Which one of the following best describes the main objective of “Seed Village Programme”?
✅ Official Answer: (c)
The Seed Village Programme (related to forest/agriculture) aims to make farming and forest communities self-sufficient in the production and storage of quality seeds — reducing their dependence on external seed sources. For forests specifically, FSI-related seed programmes aim to produce quality planting material (seedlings) for afforestation programmes, especially for restoration of degraded forests under CAMPA (Compensatory Afforestation Fund Management and Planning Authority) and Bonn Challenge targets. This connects to ISFR’s observation that agroforestry expansion is a key driver of India’s increased tree cover.
📜 UPSC Prelims PYQs — Official Past Questions on Forest Cover
With reference to the Indian Forest Act, 1927, consider the following:
1. Reserved Forests are the most protected category of forests.
2. All rights can be exercised by the people in Reserved Forests.
3. Protected Forests are less strictly protected than Reserved Forests.
Which are correct?
✅ Official Answer: (c) 1 and 3 only
1 ✅: Reserved Forests (RF) are the MOST protected category under the Indian Forest Act 1927. In RFs, all activities (grazing, felling, removing, encroachment) are prohibited unless specifically permitted. This is the highest protection under the Forest Act. 2 ❌ Wrong: In Reserved Forests, NO rights can be exercised by people — rights are explicitly extinguished or commuted before the area is declared RF. This is the exact opposite of the statement. In Protected Forests (PF), some rights may be permitted. 3 ✅: Protected Forests (PF) are less strictly protected than RF — the government may allow some activities and rights in PF. PF is an intermediate category.
In India, if a species of tortoise is declared protected under Schedule I of the Wildlife Protection Act, 1972, what does it mean?
✅ Official Answer: Schedule I = same as Snow Leopard and GIB
WPA Schedule I gives the highest protection to wildlife in India — the same protection as Snow Leopard (Schedule I) and Great Indian Bustard (Schedule I). Penalties: 3–7 years imprisonment. Option (a): Forests are protected under Indian Forest Act 1927 and Forest Conservation Act 1980 — SEPARATE laws from WPA 1972. Schedule I does NOT give protection “as forests.” Option (c): CITES is a different, international treaty — WPA Schedule I does not automatically mean CITES listing. The tortoise may or may not be on CITES Appendix I separately.
❓ Frequently Asked Questions
The headline number (+1,445 sq km increase) sounds positive, but ISFR 2023 reveals a concerning structural problem: India is gaining quantity but losing quality. (1) Dense forest degradation: 3,656 sq km of Very Dense and Moderately Dense forests degraded to Open Forest or non-forest — these are the most ecologically valuable forests. (2) What’s growing: Most of the increase is in Open Forest and Tree Cover — driven primarily by agroforestry, plantations, and private tree cover. These are not the same as natural dense forest. (3) Northeast declining: India’s most biodiversity-rich region is losing forest (–327.30 sq km) — despite having 67% cover. (4) 33% target remains distant: At 25.17%, India remains far from the National Forest Policy 1988 target of 33%. The 7.83% shortfall represents millions of hectares of restoration still needed. (5) Fire problem: 32% of forests are highly fire-prone — increasing under climate change. So: The good news is real but incomplete; the bad news is structural and long-term.
Imagine a hypothetical Rampur district: (1) Recorded Forest Area (RFA): The government has officially declared 5,000 hectares as “Reserved Forest” in legal records. This is the RFA. (2) Forest Cover: FSI flies a satellite over Rampur. The satellite sees: 3,000 hectares of the 5,000 ha “Reserved Forest” has been encroached and degraded — canopy below 10% — so only 2,000 ha is counted as Forest Cover. But the satellite also sees a 500 ha private mango orchard with 15% canopy — which is NOT in the government records but HAS 10%+ canopy. So Forest Cover = 2,000 + 500 = 2,500 ha. (3) Tree Cover: The satellite also sees 300 ha of trees in farmers’ fields (patches under 1 ha each), roadsides, and homesteads — all outside the legal forest. This is Tree Cover = 300 ha. Summary: RFA (legal, 5,000 ha) ≠ Forest Cover (actual green, 2,500 ha) ≠ Total (Forest + Tree = 2,800 ha). This is why India’s RFA (~7.5 lakh sq km) is larger than Forest Cover (7.15 lakh sq km) — degraded legal forests drag the number down, while private green areas bring it up partially.
The Northeast’s forest decline is a paradox — the region has India’s richest forests (67% coverage) yet consistently loses more than it gains. The reasons are structural: (1) Jhum cultivation (shifting cultivation): Traditional rotational agriculture where forest patches are cut and burned, farmed for 2–3 years, then left to regenerate. As population grows, the fallow period shortens — forests don’t recover before the next cycle. (2) Infrastructure development: The Northeast has seen massive road, railway, power transmission, and military infrastructure development in recent decades — particularly in border states like Arunachal Pradesh, Manipur, and Nagaland. Each project fragments forest. (3) Settlement expansion: Growing populations in hill areas convert forest margins to agricultural and settlement areas. (4) Insurgency history: Decades of conflict in some states (Manipur, Nagaland, Assam) made enforcing forest laws difficult — illegal logging and encroachment persisted. (5) Governance gaps: Many NE forests are community/tribal lands (Community Reserved Forests) with customary rights — the legal framework for protection is complex. Mizoram’s increase (+242 sq km) is attributed to community-based conservation models that successfully engaged local communities in forest protection.
Legacy IAS — UPSC Civil Services Coaching, Bangalore |
All data from ISFR 2023 (18th edition, released at Forest Research Institute, Dehradun). PIB official press release verified. Carbon stock NDC progress data from ISFR 2023 report. All state rankings double-checked against PIB source.
