Lower cull targets are
easier to achieve but risk increasing instances of TB in cattle rather than
reducing them, warns expert
Wednesday 29 March 2017 10.06 BST
Last modified on Wednesday 29 March 2017 17.40 BST
The government’s killing
targets for the controversial badger cull in England are “deliberately being
biased down”, according to a leading animal population expert.
The badger cull, now rolled
out to seven counties in England, is part of efforts to
reduce the scourge of tuberculosis in cattle but has been heavily
criticised by scientists.
Farmers failed to meet
the targets for badgers shot in the first culls and the lower targets have been
easier to achieve. But scientists warn that lower targets run the risk of
actually increasing TB in cattle, because the remaining badgers roam more
widely and can spread the disease further afield.
“The targets are being based on poor estimates
of [badger] population size and are deliberately being biased downwards,” said
Prof Tim Coulson, at the University of Oxford, who was a member of the
government’s Independent
Expert Panel that scrutinised the first year of
culling in 2013 before being disbanded.
This less accurate method
produces a population estimate with very wide error bars and, rather than using
the central estimate to calculate the cull target, the government is using the
very lowest figure at the bottom of the range of uncertainty. This leads to a
cull target likely to be much lower than needed to remove a high proportion of
the badgers.
“The tools are out there
to do this properly,” Coulson said. The “gold standard” method, he said, was to
capture and identify badgers and then recapture them to calculate a good
estimate of the population before and after culling, but that this was
discontinued after the first year of culling: “The reason for that was
primarily financial.”
Badger populations are
now estimated using sett numbers and other landscape features which Coulson
said was not very accurate. Furthermore, the government was setting the killing
target at the lowest end of these estimates, he said.
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