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Combining both indices into the calculation of power assumed that the indices are independent, conditional on tiger density. Further details of the power analysis are provided in Appendix?S2 (Supporting Information). All statistical analyses was done using spss 11 (SPSS 2001), NCSS (Hintze 2006) and R Development Core Team (2004) software packages. The highest tiger densities were estimated for Corbett Tiger Reserve at 19 tigers per 100?km2 where we photographed 102 individual tigers. The lowest estimate obtained by CTMR was for Rajaji Dhaulkhand, where a single tigress was photographed twice, and density was estimated at 0��55 tigers per 100?km2 (Table?1). Due to very low tiger densities we could not obtain camera trap photographs of tigers at Kuno and Phen. The best model selected by CAPTURE for most sites with more than five tiger captures had some form of heterogeneity in capture http://www.selleckchem.com/products/Vorinostat-saha.html probabilities. CloseTest supported population closure for all sites except for Ranthambore (Table?1). Model Mh [two-point finite mixture model, where p1?=?0��038 (SE 0��002), p2?=?0��177 (SE 0��008)], using the pooled capture matrix for all sites provided more precise estimates of tiger numbers than site specific analyses in http://www.selleck.cn/products/ve-821.html CAPTURE (Table?1). On average 147 (SE 12, range 75�C221) km of search effort was invested at each site. The maximum number of tiger pugmark sets was recorded in Corbett and the minimum number in Kuno (Table?1). The maximum number of tiger scats was obtained from Bandhavgarh and the minimum number from Kuno (Table?1). Tiger pugmark set encounters had the best linear correlation http://www.selleckchem.com/products/Cisplatin.html with tiger densities (R?=?0��92, P?