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- W4241444627 abstract "Publications in reputed peer reviewed journals are often looked upon as tenets on which future scientific thought is built. Sometimes published information can be flawed and errors in published research should be expediently reported, preferably by a peer review process. We review a recent publication by Gopalaswamy et al (2015) that challenges the use of double sampling in large scale wildlife surveys. Double sampling is often resorted to as an established economical approach for large scale surveys since it calibrates abundance indices against absolute abundance, thereby elegantly addressing the statistical shortfalls of indices. Empirical data used by Goplaswamy et al. (2015) to validate their theoretical model, relate to tiger sign and tiger abundance referred to as an Index Calibration experiment (IC-Karanth). These data on tiger abundance and signs should be paired in time and space to qualify as a calibration experiment for double sampling, but original data of IC-Karanth show lags of several years. One crucial data point used in the paper does not match the original source. We show that by use of inappropriate and incorrect data collected through a faulty experimental design, wrong parameterisation of their theoretical model, and cherry-picked estimates from literature on detection probability, the inferences of this paper are highly suspect. We highlight how the results of Goplaswamy et al. (2015) were further distorted in popular media. If left unaddressed, Gopalaswamy et al. paper could have serious implications on design of large scale studies by propagating unscientific inferences." @default.
- W4241444627 created "2022-05-12" @default.
- W4241444627 date "2018-11-15" @default.
- W4241444627 modified "2023-09-28" @default.
- W4241444627 doi "https://doi.org/10.7287/peerj.preprints.27349v1/supp-1" @default.
- W4241444627 hasPublicationYear "2018" @default.
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