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Indian Statistical Institute has developed a new methodology that might just revolutionize how to count tigers and other big cats over large landscapes.
The new method called “Bayesian Smoothing Model (BSM), gives researchers opportunity to assess number of animals over a large geographical scales more accurately which is critical for preservation of endangered wildlife.
Talking about the new model, Prof. Mohan Delampady at the Indian Statistical Institute, Bangalore, said,
“BSM offered a superior, more rigorous methodology to combine these two types of data to yield more transparent, reliable estimates. This also opens the door wide for development of even better methods in the future.”
The new method was welcomed by Dr. Ullas Karanth, WCS Director for Science in Asia who said, “We are delighted to help advance the science of monitoring tigers and other endangered species. The progress on scientific techniques we describe can significantly impact and greatly inform how we direct our efforts in saving these iconic species into the future.”
The old method of counting endangered animals was derived couple of decades earlier which rely heavily upon information collected from a small geographical location. This method know to generate misleading estimates. However, the new method counts number of animals in smaller areas, such as protected reserves, to wider regions where only weaker methods can be employed. As a result, it might improve the accuracy of the surveys.