Impact of wild prey availability on livestock predation by snow leopards (dataset)

  • Kulbhushansingh R. Suryawanshi (Creator)
  • Stephen M. Redpath (Creator)
  • Yash Veer Bhatnagar (Creator)
  • Uma Ramakrishnan (Creator)
  • Vaibhav Chaturvedi (Creator)
  • Sophie Caroline Smout (Creator)
  • Charudutt Mishra (Creator)

Dataset

Description

Data package content

File with details on snow leopard diet: The column "Area" numbers the different sites where we worked. The column "Block" names the sites. The column "ID" lists the unique identification number of each scat sample. Column "Primer" indicates whether the sample was positive with the snow leopard specific primer "UNC1". The remaining four columns indicate the number of hairs of each species occurring in each scat sample. Column "Unid" indicates unidentified species.

Population density of snow leopard, wild prey and livestock: The file contains information on the area of all study sites and population of snow leopard, wild prey and livestock species at each of the seven sites. Column names are self explanatory. The file structure is suitable to run the functional analysis code.

R code for functional response analysis: The file contains the entire code required to run the functional response analysis. The file structure of snow leopard diet and snow leopard prey files (Appendic C1 & C2) is ready for this code.

Genotyping data Spiti and Ladakh: The file contains the genotype profile of all the snow leopard individuals from our study sites. These data were used to estimate snow leopard abundance at each site. The column names are self explanatory.

Wild herbivore prey population data: This file contains raw data of the wild prey population surveys at the seven sites. Column names are self explanatory.

Livestock population census data: The file contains livestock population census data from all the villages and communities in the seven study sites. Data are given by livestock species by each village. Column names are self explanatory.
Date made available11 May 2017
PublisherDryad

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