A new species of wolf snake (Colubridae: Lycodon Fitzinger, 1826) from Phnom Samkos Wildlife Sanctuary, Cardamom Mountains, southwest Cambodia.

A new species of the genus Lycodon Fitzinger, 1826 is described from the Cardamom Mountains of southwest Cambodia. Lycodon zoosvictoriae distinctly differs from all other species of Lycodon in Southeast Asia by a combination of its morphometric characters and unique coloration. The new species has 17 dorsal scales at midbody; 2+2 temporals; 8 supralabials; 10 infralabials; loreal separated from internasal and orbit; 213 ventrals; 85 subcaudals; pale tan brown ground color; irregular dark brown blotches on anterior part, 31 transverse blotches on posterior part of body and 26 blotches on tail. Given its submontane type locality, the new species could prove to be endemic to the Cardamom Mountains of southwest Cambodia and probably Southeast Thailand.

A model for the noninvasive, habitat-inclusive estimation of upper limit abundance for synanthropes, exemplified by M. fascicularis.

Accurately estimating population sizes for free-ranging animals through noninvasive methods, such as camera trap images, remains particularly limited by small datasets. To overcome this, we developed a flexible model for estimating upper limit populations and exemplified it by studying a group-living synanthrope, the long-tailed macaque (Macaca fascicularis). Habitat preference maps, based on environmental and GPS data, were generated with a maximum entropy model and combined with data obtained from camera traps, line transect distance sampling, and direct sightings to produce an expected number of individuals. The mapping between habitat preference and number of individuals was optimized through a tunable parameter ρ (inquisitiveness) that accounts for repeated observations of individuals. Benchmarking against published data highlights the high accuracy of the model. Overall, this approach combines citizen science with scientific observations and reveals the long-tailed macaque populations to be (up to 80%) smaller than expected. The model's flexibility makes it suitable for many species, providing a scalable, noninvasive tool for wildlife conservation.