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http://dx.doi.org/10.1111/j.1749-4877.2010.00224.x | DOI Listing |
Forensic Sci Int
January 2025
Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, West Java 16424, Indonesia.
Illegal wildlife trade poses a significant threat to Indonesia's biodiversity, especially among its diverse Felidae species (cats). While molecular methods have proven effective for identifying some Felidae species, there remains a gap in comparing these techniques across different endemic Felidae species in Indonesia, particularly in cases involving multiple species in confiscated wildlife products. This study applies DNA forensic techniques to analyze 38 confiscated Felidae samples, identifying four species: Sumatran tiger (Panthera tigris sumatrae), leopard (Panthera pardus), leopard cat (Prionailurus bengalensis), and clouded leopard (Neofelis nebulosa).
View Article and Find Full Text PDFSci Rep
January 2025
Wildlife Institute of India, Dehradun, 248001, Uttarakhand, India.
Intra-specific interactions among top carnivores are among the most intriguing behavioural aspects and essential components of population dynamics. Static interactions pertain to space use, while dynamic interactions involve spatio-temporal patterns influenced by social structure, distribution, mate selection, and density. Previous studies have focused on static interactions, successfully estimating spatial overlap but leading to a knowledge gap of dynamic interaction to be able to compute attraction and avoidance on similar spatio-temporal scales.
View Article and Find Full Text PDFInsects
December 2024
Key Laboratory of Breeding and Utilization of Resource Insects of National Forestry and Grassland Administration, Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming 650224, China.
Curr Biol
December 2024
Durrell Institute of Conservation and Ecology, University of Kent, Canterbury CT2 7NR, UK.
Conservation initiatives strive for reliable and cost-effective species monitoring. However, resource constraints mean management decisions are overly reliant on data derived from single methodologies, resulting in taxonomic or geographic biases. We introduce a data integration framework to optimize species monitoring in terms of spatial representation, the reliability of biodiversity metrics, and the cost of implementation, focusing on tigers and their principal prey (sambar deer and wild pigs).
View Article and Find Full Text PDFEcol Evol
December 2024
Wildlife Conservation Society New York New York USA.
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