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British Wildlife

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British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

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Conservation Land Management

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Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

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This Week in Biodiversity News – 20th July 2021

Bruce Robinson
Bruce Robinson

For the first time in around 400 years, a baby beaver has been born on Exmoor in southwest England. The six-week-old kit was spotted by a remote camera set up on the 2.7 hectare (6.7 acre) enclosure on Holnicote Estate, which is managed by the National Trust.

Last Friday saw the launch of this year’s Big Butterfly Count, a nationwide citizen science survey aimed at helping Butterfly Conservation assess the health of our environment. The survey was first launched back in 2010 and has rapidly become the world’s biggest survey of butterflies. This year’s count runs from Friday 16 July to Sunday 8 August.

The National Food Strategy, an independent report commissioned by the UK Government, has warned that the nation’s eating habits are damaging both the planet and our health. The global food system was found to be the single biggest contributor to biodiversity loss, deforestation, drought, freshwater pollution and the collapse of aquatic wildlife.

A new study has found that bat echoes are so simple that a sound file of their calls can be compressed by 90% without losing relevant data. And so, bats are still able to successfully navigate a complex world by making decisions based on very little information.