Sunday, February 06, 2022

Are you ready to have officials armed with Artificial Intelligence, eDNA and networked sensors analyze your allotment?

 Artificial intelligence, environmental DNA and networked sensors are among the technologies with the highest potential to improve wildlife conservation, according to recent research.

Published last December by conservation technology network WILDLABS, together with a group of non-profit and academic partners, the report is the first of its kind to provide a holistic assessment of the state of conservation technology.

The researchers surveyed 248 conservationists, technologists and academics across 37 countries over the 11 most commonly used conservation technologies, including camera traps, biologgers, acoustic monitoring and remote sensings. Although It’s estimated that about 8.7 million species populate our planet, 86 percent of all species on land and 91 percent in the oceans are yet to be discovered. Multiple scientific studies suggest that if no action is taken, as many as half of all species could go extinct by the end of the century.

...Artificial intelligence (AI) is increasingly used to analyze large amounts of conservation data  such as camera trap, satellite and drone images or audio and video recordings, and improve wildlife identification and monitoring. The non-profit Wild Me created a cloud-based platform Wildbook, which uses computer vision and deep learning algorithms to scan millions of crowdsourced wildlife images to identify species and individual animals based on their unique patterns, including stripes, spots or other defining physical features such as scars.

...The BearID Project is developing a facial recognition software that can be applied to camera trap imagery to identify and monitor brown bears, and inform subsequent conservation measures. This is especially important because camera traps are currently unable to consistently recognize individual bears due to the lack of unique natural markings for certain species.

...AI can also help boost anti-poaching efforts. The software Protection Assistant for Wildlife Security (PAWS) takes in past poaching records and the geographic data of the protected area to predict poachers’ future behavior, and design poaching risk maps and optimal patrol routes for rangers.

Environmental DNA (eDNA), meanwhile, enables conservationists to collect biodiversity data by extracting DNA from environmental samples, such as water, soil, snow or even air. All living organisms leave traces of their DNA in their environments through their feces, skin or hair, amongst others.

A single sample might carry the genetic code of tens or even hundreds of species, and can provide a detailed snapshot of an entire ecosystem...

...eDNA can also help examine the impact of climate change, detect invisible threats such as viruses or bacteria, and assess the overall health of an ecosystem, which can be used to make the case for greater protection for the area.

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