Stay up to date with notifications from The Independent

Notifications can be managed in browser preferences.

New ‘Big Five’ animals of wildlife photography revealed after global vote

Campaign seeks to redefine colonial-era hunting term to celebrate natural world

Aine Fox
Tuesday 18 May 2021 21:10 BST
Comments
(PA)

The new “Big Five“ of the natural world’s top creatures to photograph have been revealed after a year-long global vote.

Unlike the old Big Five, based on the five toughest animals in Africa for colonial hunters to shoot and kill, the new list is made up of animals to see in the wild and shoot with a camera.

The chosen animals are elephants, polar bears, gorillas, tigers and lions.

They were picked by more than 50,000 votes from wildlife lovers around the world.

The initiative by photographer and journalist Graeme Green, was backed by conservation organisations, photographers and experts and aims to celebrate nature and create a “bucket list” for wildlife lovers and photography enthusiasts to see in their lifetimes.

Mr Green said the new Big Five are “not just some of the most beautiful, incredible animals on the planet” but also all “face serious threats to their existence”.

He added: “The new Big Five are the tip of the iceberg. They stand for all the creatures on the planet, so many of which are in danger.

“From bees to blue whales, all wildlife is essential to the balance of nature, to healthy ecosystems and to the future of our planet.”

The original Big Five were lions, leopards, rhinos, elephants and buffalo.

The new initiative was supported by more than 250 of the world’s wildlife photographers, conservationists and wildlife charities, as well as famous names including environmentalist and presenter Chris Packham and actress Joanna Lumley.

Press Association

Join our commenting forum

Join thought-provoking conversations, follow other Independent readers and see their replies

Comments

Thank you for registering

Please refresh the page or navigate to another page on the site to be automatically logged inPlease refresh your browser to be logged in