Population monitoring of snow leopards using noninvasive collection of scat samples: a pilot study

By J. Janecka, Rodney M. Jackson, Z. Yuquang, L. Diqiang, B. Munkhtsog, V. Buckley-Beason, William J. Murphy. 2008

176 citations recorded by the source corpus.

Subfields: Ecology, Genetics

View Paper: https://www.semanticscholar.org/paper/5421398c78d490d69b2c2fb250cfa1d2f7d6b30a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. J. Janecka
2. L. Harrington
3. D. Paetkau
4. David W. Macdonald
5. Ø. Flagstad
6. B. Munkhtsog
7. P. Wegge
8. R. Shrestha

In Genetics

1. W. Murphy
2. David P. Mallon
3. J. Janecka
4. D. Paetkau
5. R. Jackson
6. David W. Macdonald
7. Ø. Flagstad
8. B. Munkhtsog

Citations in the corpus

• Snow leopard Panthera uncia predation on livestock and wild prey in a mountain valley in northern Nepal: implications for conservation management (2012, methodology): “This level of genetic variation is intermediate between that found in two previously screened populations in northern India (A ¼ 3.1 and Hobs ¼ 0.75) and southern Mongolia (A ¼ 2.5 and Hobs ¼ 0.51; Janecka et al. 2008).”
• Food habits of the snow leopard Panthera uncia (Schreber, 1775) in Baltistan, Northern Pakistan (2011, methodology): “The Zoological Society of San Diego contributed two snow leopard DNA samples (one male and one female) as controls (Janečka et al. 2008).”
• Comparison of noninvasive genetic and camera-trapping techniques for surveying snow leopards (2011, methodology): “Microsatellites were PCR amplified using the methods of Janečka et al. (2008) and genotyped on an ABI 3730 (Applied Biosystems, Inc., Foster City, California) in the Molecular Cytogenetics and Genomics Laboratory (Texas A&M University).”
• Estimating abundance of the remnant Apennine brown bear population using multiple noninvasive genetic data sources (2015, background): “Reduced population sizes of rare and elusive carnivores likely correspond to exceedingly small and sparse data sets for reliable estimation of abundance (Janecka et al. 2008; Lynam et al. 2009; Gervasi et al. 2010; Gerber et al. 2014).”
• The accuracy of scat identification in distribution surveys: American mink, Neovison vison, in the northern highlands of Scotland (2010, background): “The problem is not limited to mustelids: in recent sign surveys for snow leopards, up to 54% of scats identified as putative snow leopard origin were found to be from red fox (Janečka et al. 2008).”