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Tiger numbers could be a result of methodological mistake: Scientists -Kounteya Sinha
-The Times of India

LONDON: Celebrations in India over the revival in its tiger population may be premature and the result of a measuring error, according to a team British-India team of scientists.

India announced in January that the country was now home to 30% more tigers than four years ago, with numbers rising from 1,706 in 2010 to 2,226 in 2014.

The Indian government used calculating a technique - the Index Calibration model which measures animal numbers when they can't all be seen, using data such as from camera-traps and radio-collars.

This technique is commonly used in censuses of tigers and other rare wildlife.

However a team of scientists from the University of Oxford, Indian Statistical Institute and Wildlife Conservation Society have exposed, for the first time, inherent shortcomings in the method that means it can produce inaccurate results.

Index-calibration often relies on measuring animal numbers accurately in a relatively small region using reliable, intensive and expensive methods (such as camera trapping) and then relating this measure to a more easily obtained, inexpensive indicator (such as animal track counts) by means of calibration. The calibrated-index is then used to extrapolate actual animal numbers over larger regions.

To investigate index-calibration, the team created a mathematical model describing the approach and then tested its efficiency when different values, representing variations in data, were inputted.

Under most conditions the model was shown to lose its efficiency and power to predict. The team then tested this mathematical model on a real world example: attempting to derive tiger numbers from fieldwork data.

The index-calibration model was shown to be unreliable again, with any high degree of success shown to be down to chance, rather like being dealt a single incredibly "high value" poker hand, that could not be replicated.

Arjun Gopalaswamy, lead author of the report from the Wildlife Conservation Research Unit at Oxford University's Department of Zoology said "Our study shows that index-calibration models are so fragile that even a 10% uncertainty in detection rates severely compromises what we can reliably infer from them. Our empirical test with data from Indian tiger survey efforts proved that such calibrations yield irreproducible and inaccurate results".

Arjun added "Index-calibration relies on the assumption that detection rates of animal evidence are high and unvarying. In reality this is nearly impossible to achieve. Instead, there are many flexible approaches, developed over the past decade by statistical ecologists, which can cut through noisy real world data to make accurate predictions".

Dr Ullas Karanth, a co-author from the Wildlife Conservation Society and a member of India's National Tiger Conservation Authority, said "This study exposes fundamental statistical weaknesses in the sampling, calibration and extrapolations that are at the core of methodology used by the government to estimate India's numbers, thus undermining their reliability. We are not at all disputing that tigers numbers have increased in many locations in India in last eight years, but the method employed to measure this increase is not sufficiently robust or accurate to measure changes at regional and country wide levels".

Professor Mohan Delampady, a co-author from the Indian Statistical Institute, said "The findings have wider consequences for several applied sciences where sampling and direct extrapolation is involved, especially when sampling errors are influenced by unknown detection probabilities".


Professor David Macdonald, a co-author and the founding director of the Wildlife Conservation Research Unit at Oxford University's department of zoology, said "This is a breakthrough which will dramatically change how we count wildlife numbers in the future".

He added "Index-calibration can work well, if the correlations are tight and consistent, but often they aren't, and many of us, myself included, for example in the context of estimating numbers of mink and water voles in the UK, have been using the technique without appreciating its risks. Our intention is to help conservationists by highlighting the conditions when index calibration can be misleading. Everybody will benefit from greater accuracy when it comes to counting rare animals".