Identification of wildlife crime hotspots in Punjab, India via kernel density estimation analysis
DOI:
https://doi.org/10.11609/jott.9495.18.3.28524-28533Keywords:
Crime spatial analysis, derivatives trade, exploitation, illegal hunting, Illegal wildlife trade, illicit supply chains, landscape metrics, spatial analysis, smuggling routes, transnational organised crime, wildlife trafficking, wildlife seizuresAbstract
Punjab is a predominantly agrarian state and among the least forested in India. It remains underrepresented in w ildlife crime research. This study documents thirty-two wildlife crime incidents affecting thousands of wild animals compiled from media sources and official enforcement and organisational records between 2019 and 2024. Several of the affected species are listed under Schedule I of the Wildlife (Protection) Act, 1972 (amended in 2022). Recorded crimes involved leopards, tigers, sambars, wild boar, Tibetan antelopes, freshwater turtles, and marine species. Exploitation methods included the use of firearms, trained dogs, snares, illegal trade, and smuggling of wildlife derivatives such as Shahtoosh shawls, corals, and lizard oil. Kernel Density Estimation analysis identified extreme-intensity hotspots (Class 5) covering approximately 509 km² (~1.0% of the state’s geographical area), while areas classified under Classes 2–5 collectively covered approximately 30% of the state area.
References
Akash, M., T. Zakir, T. Saniat, A. Dheer & A. Srivathsa (2025). No country for small cats: Systematic analysis of media-reported incidents unravel a troubled scenario for the Fishing Cat Prionailurus viverrinus in Bangladesh. Global Ecology and Conservation 59: e03505. https://doi.org/10.1016/j.gecco.2025.e03505
Alves, R.R.N., J.R.D.F. Lima & H.F.P. Araujo (2013). The live bird trade in Brazil and its conservation implications: An overview. Bird Conservation International 23(1): 53–65. https://doi.org/10.1017/S095927091200010X
Athreya, V., A. Srivathsa, M. Puri, K.K. Karanth, N.S. Kumar & K.U. Karanth (2015). Spotted in the news: Using media reports to examine leopard distribution, depredation, and management practices outside protected areas in southern India. PLoS ONE 10(11): e0142647. https://doi.org/10.1371/journal.pone.0142647
Becker, M., R. McRobb, F. Watson, E. Droge, B. Kanyembo, J. Murdoch & C. Kakumbi (2013). Evaluating wire-snare poaching trends and the impacts of by-catch on elephants and large carnivores. Biological Conservation 158: 26–36. https://doi.org/10.1016/j.biocon.2012.08.017
Bennett, E.L., E. Blencowe, B. Brandon, D. Brown, R.W. Burn, G. Cowlishaw, G. Davies, H. Dublin, E.J. Milner-Gulland, J.G. Robinson, J.M. Rowcliffe, F.M. Underwood & D.S. Wilkie (2007). Hunting for consensus: Reconciling bushmeat harvest, conservation, and development policy in West and Central Africa. Conservation Biology 21(3): 884–887. https://doi.org/10.1111/j.1523-1739.2006.00595.x
Bhattacharya, S. & A. Koch (2018). Hatha Jodi: An illegal trade of misused scientific facts or blindfolded myths and beliefs. Biawak 12(2): 97–99.
Chamling, M. & B. Bera (2020). Likelihood of elephant death risk applying kernel density estimation along railway tracks in the Bhutan–Bengal Himalayan Foothills. Modeling Earth Systems and Environment 6(4): 2565–2580. https://doi.org/10.1007/s40808-020-00849-z
Chawla, M.M., A. Srivathsa, P. Singh, I. Majgaonkar, S. Sharma, G. Punjabi & A. Banerjee (2020). Do wildlife crimes against less charismatic species go unnoticed? A case study of Golden Jackal Canis aureus poaching and trade in India. Journal of Threatened Taxa 12: 15407–15413. https://doi.org/10.11609/jott.5783.12.4.15407-15413
Chen, Y.C. (2017). A tutorial on kernel density estimation and recent advances. Biostatistics & Epidemiology 1(1): 161–187. https://doi.org/10.1080/24709360.2017.1396742
CITES (2017). Appendices I, II and III valid from 02 January 2017. Convention on International Trade in Endangered Species of Wild Fauna and Flora.
D’Cruze, N., B. Singh, A. Mookerjee, D.W. Macdonald, K. Hunter, C.A. Brassey & R.S. Sharath (2018). What’s in a name? Wildlife traders evade authorities using code words. Oryx 52(1): 13. https://doi.org/10.1017/S0030605317001788
Delany, S., D. Scott & A.T.F. Helmink (2006). Waterbird population estimates–Fourth Edition. Wetlands International, Wageningen, 239 pp.
Fleming, C.H., W.F. Fagan, T. Mueller, K.A. Olson, P. Leimgruber & J.M. Calabrese (2015). Rigorous home range estimation with movement data: A new autocorrelated kernel density estimator. Ecology 96(5): 1182–1188. https://doi.org/10.1890/14-2010.1
Forest Survey of India (2023). India State of Forest Report 2023, Vol. II. Ministry of Environment, Forest & Climate Change, Government of India. https://fsi.nic.in/uploads/isfr2023/isfr_book_eng-vol-2_2023.pdf. Accessed 19.ii.2026.
Fukushima, C.S., S. Mammola & P. Cardoso (2020). Global wildlife trade permeates the Tree of Life. Biological Conservation 247: 108503. https://doi.org/10.1016/j.biocon.2020.108503
Gibbens, S. (2019). Luxury shawls are killing antelopes in the Himalaya. National Geographic. https://www.nationalgeographic.com/animals/article/tibetan-antelope-killed-to-make-luxury-scarves (accessed 19 February 2026).
Gore, M.L., P. Braszak, J. Brown, P. Cassey, R. Duffy, J. Fisher, J. Graham, R. Justo-Hanani, A.E. Kirkwood, E. Lunstrum & C. Machalaba (2019). Transnational environmental crime threatens sustainable development. Nature Sustainability 2(9): 784–786. https://doi.org/10.1038/s41893-019-0363-6
Gore, M.L., L.R. Schwartz, K. Amponsah-Mensah, E. Barbee, S. Canney, M. Carbo-Penche & L.W. Naess (2022). Voluntary consensus-based geospatial data standards for the global illegal trade in wild fauna and flora. Scientific Data 9: 267. https://doi.org/10.1038/s41597-022-01371-w
Graves, T.A., M.J. Yarnall, A.N. Johnston, T.M. Preston, G.W. Chong, E.K. Cole & P.C. Cross (2022). Eyes on the herd: quantifying ungulate density from satellite, UAV, and GPS collar data. Ecological Applications 32(5): e2600. https://doi.org/10.1002/eap.2600
Haq, S.M., D. Sircar, J. Louies, S.K. Sinha & V. Menon (2023). Tracking snares to mitigate threats to wildlife along the fringes of Valmiki Tiger Reserve, India. Biological Conservation 284: 110196. https://doi.org/10.1016/j.biocon.2023.110196
Hart, T. & P. Zandbergen (2014). Kernel density estimation and hotspot mapping: Examining the influence of interpolation method, grid cell size, and bandwidth on crime forecasting. Policing: An International Journal of Police Strategies & Management 37(2): 305–323. https://doi.org/10.1108/PIJPSM-04-2013-0039
Hinsley, A., J. Willis, A.R. Dent, R. Oyanedel, T. Kubo & D.W. Challender (2023). Trading species to extinction: Evidence of extinction linked to the wildlife trade. Cambridge Prisms: Extinction 1: e10. https://doi.org/10.1017/ext.2023.7
Hu, Y., F. Wang, C. Guin & H. Zhu (2018). A spatio-temporal kernel density estimation framework for predictive crime hotspot mapping and evaluation. Applied Geography 99: 89–97. https://doi.org/10.1016/j.apgeog.2018.08.001
Hughes, A.C. (2021). Wildlife trade. Current Biology 31(19): R1218–R1224. https://doi.org/10.1016/j.cub.2021.08.056
Ingram, D.J., L. Coad, E.J. Milner-Gulland, L. Parry, D. Wilkie, M.I. Bakarr & K. Abernethy (2021). Wild meat is still on the menu: Progress in wild meat research, policy, and practice from 2002 to 2020. Annual Review of Environment and Resources 46: 221–254. https://doi.org/10.1146/annurev-environ-041020-063132
Mallon, D.P. & Z. Jiang (2009). Grazers on the plains: Challenges and prospects for large herbivores in Central Asia. Journal of Applied Ecology 46(3): 516–519. https://doi.org/10.1111/j.1365-2664.2009.01654.x
Masterson, V. (2023). Illegal wildlife trade is a top global crime, INTERPOL says. World Economic Forum. https://www.weforum.org/stories/2023/12/interpol-combats-illegal-wildlife-trade/ (accessed 19 February 2026).
Matias, C.A.R., V.M. Oliveira, D.P. Rodrigues & S. Siciliano (2012). Summary of the bird species seized in the illegal trade in Rio de Janeiro, Brazil. TRAFFIC Bulletin 24(2): 83–86.
Miller, E.A., L. McClenachan, Y. Uni, G. Phocas, M.E. Hagemann & K.S. Van Houtan (2019). The historical development of complex global trafficking networks for marine wildlife. Science Advances 5(3): eaav5948. https://doi.org/10.1126/sciadv.aav5948
Milner-Gulland, E.J. (2018). Documenting and tackling the illegal wildlife trade: Change and continuity over 40 years. Oryx 52(4): 597–598. https://doi.org/10.1017/S0030605318001047
Milner-Gulland, E.J. & N. Leader-Williams (2019). Illegal exploitation of wildlife. In: Economics for the Wilds. Routledge, London, pp. 195–213. https://doi.org/10.4324/9780429331954-9
Pragatheesh, A., V. Sharma, C.P. Sharma & H.V. Girisha (2022). Operation Soft Gold: Integration of cyber intelligence in curbing illegal Shahtoosh trade in India. Forensic Science International: Animals and Environments 2: 100048. https://doi.org/10.1016/j.fsiae.2022.100048
Ramsar Convention Secretariat (2026). Ramsar Sites Information Service. https://rsis.ramsar.org/. Accessed 19.ii.2026.
Rana, A.K. & N. Kumar (2023). Current wildlife crime (Indian scenario): Major challenges and prevention approaches. Biodiversity and Conservation 32(5): 1473–1491. https://doi.org/10.1007/s10531-023-02577-z
Ripple, W.J., K. Abernethy, M.G. Betts, G. Chapron, R. Dirzo, M. Galetti & H. Young (2016). Bushmeat hunting and extinction risk to the world’s mammals. Royal Society Open Science 3(10): 160498. https://doi.org/10.1098/rsos.160498
Rivalan, P., V. Delmas, E. Angulo, L.S. Bull, R.J. Hall, F. Courchamp & N. Leader-Williams (2007). Can bans stimulate wildlife trade? Nature 447(7144): 529–530. https://doi.org/10.1038/447529a
Rosen, G.E. & K.F. Smith (2010). Summarizing the evidence on the international trade in illegal wildlife. EcoHealth 7(1): 24–32. https://doi.org/10.1007/s10393-010-0317-y
Rodewald, A.D., A. Lello-Smith, N.R. Magliocca, K. McSweeney, M. Strimas-Mackey, S.E. Sesnie & E.A. Nielsen (2024). Intersection of narco trafficking, enforcement and bird conservation in the Americas. Nature Sustainability 7(7): 855–859. https://doi.org/10.1038/s41893-024-01365-z
Sood, N., R. Kumar & S. Sharma (2025). Identification of human–wildlife interaction hotspots near riparian reserves: A case study of Beas Conservation Reserve, a Ramsar Site. Environment Conservation Journal 26(2): 561–573. https://doi.org/10.36953/ECJ.29132919
South, N. & T. Wyatt (2011). Comparing illicit trades in wildlife and drugs: An exploratory study. Deviant Behavior 32(6): 538–561. https://doi.org/10.1080/01639625.2010.483162
’t Sas-Rolfes, M., D.W. Challender, A. Hinsley, D. Veríssimo & E.J. Milner-Gulland (2019). Illegal wildlife trade: Scale, processes, and governance. Annual Review of Environment and Resources 44: 201–228. https://doi.org/10.1146/annurev-environ-101718-033253
TRAFFIC India (2026). TRAFFIC India programme. https://www.traffic.org/. Accessed on 19.ii.2026.
Underwood, F.M., R.W. Burn & T. Milliken (2013). Dissecting the illegal ivory trade: An analysis of ivory seizures data. PLoS ONE 8(10): e76539. https://doi.org/10.1371/journal.pone.0076539
United Nations Office on Drugs and Crime (2016). World wildlife crime report: Trafficking in protected species. United Nations, Vienna. https://www.unodc.org/documents/data-and-analysis/wildlife/World_Wildlife_Crime_Report_2016_final.pdf. Accessed on 19.ii.2026.
United Nations Office on Drugs and Crime (2024). World wildlife crime report 2024: Trafficking in protected species (3rd edition). United Nations, Vienna. https://www.unodc.org/cofrb/uploads/documents/ECOS/World_Wildlife_Crime_Report_2024.pdf. Accessed 19.ii.2026.
Velho, N., K.K. Karanth & W.F. Laurance (2012). Hunting: A serious and understudied threat in India, a globally significant conservation region. Biological Conservation 148(1): 210–215. https://doi.org/10.1016/j.biocon.2012.01.022
Veríssimo, D. & A.K. Wan (2019). Characterizing efforts to reduce consumer demand for wildlife products. Conservation Biology 33(3): 623–633. https://doi.org/10.1111/cobi.13227
Warchol, G.L., L. Zupan & W. Clarke (2003). Transnational criminality: An analysis of the illegal wildlife market in southern Africa. International Criminal Justice Review 13(1): 1–26. https://doi.org/10.1177/105756770301300101
Wetlands International (2026). Waterbird populations portal. https://wpp.wetlands.org/. Accessed 19.ii.2026.
Government of India (1972). The Wild Life (Protection) Act, 1972. India Code. https://www.indiacode.nic.in/bitstream/123456789/6198/1/the_wild_life_%28protection%29_act%2C_1972.pdf. Accessed 19.ii.2026.
Government of India (2022). The Wild Life (Protection) Amendment Act, 2022. India Code. https://www.indiacode.nic.in/handle/123456789/1726. Accessed 19.ii.2026.
Wildlife Crime Control Bureau (2026). Wildlife Crime Control Bureau, Government of India. https://wccb.gov.in/ Accessed 19.ii.2026.
Wildlife Trust of India (2024). The dark underbelly of Amritsar: from sacred city to wildlife smuggling hub. https://www.wti.org.in/news/the-dark-underbelly-of-amritsar-from-sacred-city-to-wildlife-smuggling-hub/ Accessed 19.ii.2026.
Zielinski, W.J., F.V. Schlexer, K.L. Pilgrim & M.K. Schwartz (2006). The efficacy of wire and glue hair snares in identifying mesocarnivores. Wildlife Society Bulletin 34(4): 1152–1161. https://doi.org/10.2193/0091-7648(2006)34[1152:TEOWAG]2.0.CO;2
Zimmerman, M.E. (2003). The black market for wildlife: Combating transnational organized crime in the illegal wildlife trade. Vanderbilt Journal of Transnational Law 36: 1657–1674.
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