Introduction
Wildlife crime is no longer a jungle problem — it has migrated into agrarian fields, peri-urban markets, and border transit points, as a landmark study from Punjab now confirms.
"Wildlife crime incidents based on reported cases represent only the tip of the iceberg — the true scale in non-forest landscapes remains largely invisible to enforcement agencies." — Navdeep Sood & Rohan Kumar, Journal of Threatened Taxa (2025)
| Indicator | Figure |
|---|---|
| Global Illegal Wildlife Trade Value | $23 billion/year (UNODC) |
| Punjab Forest Cover | 3.6% of 50,362 sq km |
| Wildlife Crime Incidents Documented | 32 (2019–2024) |
| Extreme Hotspot Zone | 1% of Punjab (~509 sq km) |
| Low-to-Moderate Crime Zone | ~30% of Punjab's area |
Background: Wildlife Crime in India
India is home to some of the world's most biodiverse ecosystems and is a signatory to CITES (Convention on International Trade in Endangered Species of Wild Fauna and Flora). Domestically, wildlife crime is governed by the Wildlife Protection Act, 1972 (WPA) — which schedules species, prohibits hunting, and regulates trade.
Despite robust legal frameworks, India consistently features among the top source, transit, and destination countries for illegal wildlife trade. The Wildlife Crime Control Bureau (WCCB) under MoEFCC coordinates enforcement — but its reach in non-forest, agrarian states has historically been limited.
Key Findings of the Punjab Study
Study Details:
- Authors: Navdeep Sood (citizen scientist, Tarn Taran) & Rohan Kumar (Lovely Professional University, Phagwara)
- Published: Journal of Threatened Taxa (2025)
- Period: 2019–2024
- Method: Spatial analysis of reported wildlife crime incidents
Crime Distribution
| Zone | Area Share | Crime Intensity |
|---|---|---|
| Extreme hotspot zones | 1% of Punjab (~509 sq km) | Highest crime concentration |
| Low-to-moderate zones | ~30% of Punjab's area | Significant but lower intensity |
| Remaining area | ~69% | Sparse/unreported |
Key finding: Just 1% of Punjab's area accounts for extreme-intensity wildlife crime — indicating highly organised, geographically concentrated criminal networks rather than random opportunistic poaching.
Geographic Hotspots
Crime concentrated in:
- Shivalik foothills — forest-agrarian interface; wildlife corridor
- Districts: Amritsar, Hoshiarpur, Ludhiana, Jalandhar, Pathankot, Rupnagar, SAS Nagar, Tarn Taran
- Transit hubs: Amritsar city and Attari border point — flagged as critical nodes in international trafficking routes
Species Targeted: Scale and Significance
| Species | Significance | Notable Incident |
|---|---|---|
| Wild Boar | Most frequently targeted; bushmeat trade | 127 live and dead individuals seized in one case |
| Tibetan Antelope (Chiru) | Endangered; CITES Appendix I; found in Ladakh/Karakoram & China | 201 shahtoosh shawls seized → implies killing of hundreds of antelopes |
| Leopard & Tiger | Schedule I, WPA 1972 | Tiger skins recovered |
| Sambar | Schedule III, WPA | Targeted for meat and antlers |
| Freshwater Turtles | CITES listed | Part of live animal trafficking |
| Marine Species | Unusual in landlocked state | Signals long-distance smuggling networks |
| Bear | Schedule I | Bear bile recovered — high-value derivative |
Critical insight: The seizure of marine products in a landlocked state and shahtoosh shawls (requiring antelope kills in Ladakh/China) confirms that Punjab is not just a source — it is a transit state embedded in national and international trafficking supply chains.
Methods of Crime: Opportunistic to Organised
The study identified a spectrum of crime methods:
Opportunistic/Traditional:
- Nets, clutch-wire snares, metal traps
- Trained dogs for hunting
Organised Crime Indicators:
- Firearms — suggesting professional poaching
- Recovery of high-value derivatives: tiger skins, bear bile, coral, lizard oil, shahtoosh
- Long-distance transport networks (marine products in Punjab)
- International connections via Attari border
This dual character — opportunistic local poaching feeding into organised international networks — is the defining feature of Punjab's wildlife crime landscape.
Why Punjab? Analytical Dimensions
1. Forest-Agriculture Interface and Shivalik Foothills
The Shivalik range forms a critical wildlife corridor connecting Himachal Pradesh's forests to the Gangetic plains. Punjab's agrarian landscape abuts this corridor — creating a permeable boundary where wildlife moves into human-dominated areas and poachers exploit monitoring gaps at the forest edge.
2. Border Geography and Transit Networks
Punjab shares an international border with Pakistan. Attari — India's primary land border crossing with Pakistan — is a documented node in the illegal wildlife trade route. Cross-border trafficking of shahtoosh, derivatives, and live animals exploits the same networks used for other contraband — a classic convergence of criminal economies.
3. Low Forest Cover = Low Monitoring
Wildlife crime enforcement in India is predominantly forest department-led. In states with minimal forest cover like Punjab (3.6%), the institutional infrastructure for wildlife monitoring is thin — no forest guards, no camera trap networks, no wildlife crime cells with adequate capacity. This enforcement vacuum in agrarian landscapes is systematically exploited.
4. Bushmeat Trade and Rural Economy
Wild boar is the most targeted species — linked to bushmeat trade in rural and peri-urban Punjab. This is partly driven by:
- Wild boar crop depredation creating farmer-wildlife conflict
- Economic incentive of bushmeat trade in areas with limited livelihood alternatives
- Absence of legal deterrence in practice
5. Citizen Science and Data Gap
The study's findings are based on reported incidents only — the researchers explicitly warn these represent the "tip of the iceberg." In non-forest landscapes with weak monitoring infrastructure, the dark figure of wildlife crime (unreported incidents) is likely substantially higher.
Legal and Institutional Framework
| Framework | Provision | Gap in Punjab Context |
|---|---|---|
| Wildlife Protection Act, 1972 | Schedules species; prohibits hunting and trade | Enforcement thin outside forest areas |
| CITES | International trade regulation for listed species | Attari border: enforcement needs strengthening |
| Wildlife Crime Control Bureau (WCCB) | Central coordination body | Limited reach in agrarian, non-forest states |
| Environment Protection Act, 1986 | Broader environmental governance | Not species-specific |
| IPC Sections | Used alongside WPA for organised crime | Inter-agency coordination weak |
Implications and Challenges
- Enforcement blind spot: India's wildlife protection architecture is designed for forests — non-forest landscapes with significant wildlife crime remain under-policed and under-monitored.
- International trafficking nexus: Punjab's border location makes it a gateway for wildlife products moving between South Asia, Central Asia, and China — requiring BSF, Customs, and WCCB coordination.
- Farmer-wildlife conflict: Wild boar depredation drives local tolerance for poaching — addressing conflict through compensation and crop protection is a prerequisite for reducing bushmeat demand.
- Organised crime convergence: Wildlife trafficking networks overlap with drug and arms smuggling routes — requiring an integrated organised crime response, not siloed wildlife enforcement.
- Data infrastructure: Without systematic monitoring (camera traps, citizen science platforms, informant networks) in agrarian landscapes, the true scale of wildlife crime will remain unknown and unaddressed.
Recommendations (Study + Policy Framework)
- Targeted enforcement in identified 1% extreme hotspot zones — concentrated resources for maximum impact
- Inter-agency coordination — Forest Department, WCCB, Police, BSF, Customs, Intelligence Bureau
- Strengthen Attari border monitoring for wildlife derivatives and live animals
- Community involvement — engage farmers in wildlife protection; address wild boar conflict through legal mechanisms
- Citizen science expansion — replicate the Punjab model of documented spatial analysis across other non-forest states
- Special Wildlife Crime Cells in agrarian states — not just forest-cover states
Conclusion
Punjab's emergence as a wildlife crime hotspot demolishes the comfortable assumption that conservation challenges are confined to forests and protected areas. In a country where agricultural and peri-urban landscapes increasingly interface with wildlife corridors — and where border geography creates trafficking opportunities — the absence of a non-forest wildlife crime response architecture is a critical governance gap. The Punjab study is not just a local finding; it is a national warning. India's wildlife protection framework must expand beyond the forest department's traditional jurisdiction to cover agrarian landscapes, transit hubs, and border points — integrating law enforcement, customs, intelligence, and community participation into a unified response. Biodiversity conservation in the 21st century cannot afford to look only at green patches on a map — it must confront the full geography of crime.
