Unveiling a novel morphometric approach in claws and canines for species discrimination and age stratification in leopard (Panthera pardus fusca).

Eurybiomic big cats are facing significant threats from poaching, which is driven by recreation, taxidermy and wildlife trade. Species identification and age estimation are important for effective conservation management and enforcement of wildlife protection regulations. In this study, we present novel comprehensive morphometric methods for species identification and age estimation in leopards (Panthera pardus fusca) using canine and claw, the major trade articles. The study included 42 canines and 135 claw samples from five known age groups collected during post-mortem examination from all over the state of Tamil Nadu in south India. The samples were visually examined, and key morphological traits were accurately examined. Radiographic assessment of canines revealed the chronological age estimation, and tooth wear observation afforded supportive insight and evidence for the standards. Micro-feature observations of canine and claw samples using a scanning electron microscope ascertained the credibility of the samples. Multi-dimensional assessment of species and age of the samples by morphometric method led to the development of a reliable and accessible tool for dealing with confiscated specimens or samples with limited DNA quality. Notably, our novel methodology demonstrates efficacy in identifying illegally traded leopard canines and claws without causing any damage to the sample, thereby fortifying legal efforts against wildlife trafficking. In conclusion, this research introduces a sophisticated framework for species discrimination and age stratification in Panthera pardus fusca, merging cutting-edge technologies with classical morphometric analyses. The derived insights not only advance our understanding of leopard ecology but also furnish critical tools for conservationists and law enforcement agencies combating the illicit wildlife trade.