In the 12 years since Dudgeon et al.(2006) reviewed major pressures on freshwater
ecosystems, the biodiversity crisis in the world's lakes, reservoirs, rivers, streams and …

Improved understanding of human-nature interactions is crucial to conservation science and
practice, but collecting relevant data remains challenging. Recently, social media have …

The COVID-19 pandemic has brought profound social, political, economic, and
environmental challenges to the world. The virus may have emerged from wildlife reservoirs …

A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …

Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

The recent advancement in data science coupled with the revolution in digital and satellite
technology has improved the potential for artificial intelligence (AI) applications in the …

Social media data are being increasingly used in conservation science to study human–
nature interactions. User‐generated content, such as images, video, text, and audio, and the …

Ongoing loss of biological diversity is primarily the result of unsustainable human behavior.
Thus, the long‐term success of biodiversity conservation depends on a thorough …

Digital data are accumulating at unprecedented rates. These contain a lot of information
about the natural world, some of which can be used to answer key ecological questions …

Given its extensive volume and reach, social media has the potential to widely spread
conservation messaging and be a powerful tool to mobilize social change for conserving …