AI has untapped potential to advance biodiversity conservation, study finds聽聽
A from 黑料不打烊 University researchers suggests the use of artificial intelligence (AI) to rapidly analyze vast amounts of biodiversity data could revolutionize conservation efforts by enabling scientists and policymakers to make better-informed decisions.聽
A collaboration between a computer scientist, an ecologist and an international team of researchers, the review published in Nature Reviews Biodiversity examines the seven 鈥済lobal biodiversity knowledge shortfalls,鈥� gaps in what we know about species, including their distributions and interactions.聽聽
鈥淭he problem is that we still don鈥檛 have basic information about nature, which prevents us from knowing how to protect it,鈥� said Laura Pollock, lead author on the study and assistant professor in 黑料不打烊鈥檚 Department of Biology.聽聽
The study, which reviewed the existing literature on the subject, identifies key ways AI can close these knowledge gaps. The researchers found that AI is currently only being used in two of the seven shortfall areas, leaving significant opportunities untapped. AI-powered tools like BioCLIP are already being used to detect species traits from images, aiding in species identification. Hundreds of new insects are being identified with automated insect monitoring platforms, such as Antenna.聽聽
But machine learning models trained on satellite imagery and environmental DNA have the potential to map species distributions more accurately than ever before. AI could also help infer species interactions, such as food webs and predator-prey relationships, which remain largely unstudied due to the difficulty of direct observation.聽
鈥淭his research looks at a much broader set of biodiversity questions than previous reviews,鈥� said David Rolnick, co-author of the study, Canada CIFAR AI Chair and assistant professor of computer science at 黑料不打烊. 鈥淚t was also surprising to see just how narrowly AI is being applied when it has so much potential to address many of these shortfalls.鈥澛�
Looking ahead, the research team emphasizes the importance of expanding data-sharing initiatives to improve AI model training, refining algorithms to reduce biases and ensuring that AI is used ethically in conservation. With global biodiversity targets looming, they say AI, if harnessed effectively, could be one of the most powerful tools available to address the biodiversity crisis.聽
鈥淎I is changing the way the world works, for better or worse. This is one of the ways it could help us,鈥� said Pollock. 鈥淧rotecting biodiversity is crucial because ecosystems sustain human life.鈥澛犅�
About the study聽
led by Laura J. Pollock and Justin Kitzes (University of Pittsburgh) with contributions from David Rolnick, Tanya Berger-Wolf (The Ohio State University) et al., was published in Nature Reviews Biodiversity.聽
This study was supported by funding from the AI and Biodiversity Change (ABC) Global Center, U.S. National Science Foundation and the Natural Sciences and Engineering Research Council of Canada (NSERC).聽
