Este artículo originalmente en Inglés fue traducido al Español utilizando Google Translate (Google, 10/3/25) y posteriormente revisados y corregidos por
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Featured Image Caption: Telmatosaurus sketch by Debivort CC by SA 3.0 via Wikimedia Commons Primary Source Article: Chandrasinghe, P. C.,
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Source article: Nettles, J. M., C. M. Abramowitz, W. W. Boone, et al. 2025. “ The American Black Bear (Ursus
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Many vertebrates in the animal kingdom have a highly-developed sense of smell, but what about birds? This article highlights what we know about how birds use olfaction to traverse their daily lives, and outlines what is still unknown.
Read MoreThe Disappearing Wetlands Wetlands are disappearing and it is more than only the drying of water. It is the silent
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Scientists recently revisited the site of a deep-sea mining test performed over four decades ago to see how well the seafloor had recovered. Their research highlights the persistent impact of deep-sea mining on the physical and biological environment of the deep ocean’s abyssal plains.
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Climate change, specifically rising levels of carbon dioxide, can have different ecological impacts. A new study shows how elevated levels of carbon dioxide can confuse some moths when they look for sites to lay eggs.
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AI models have a huge water footprint that most people do not even consider when they use generative AI. Behind every chatbot response or image generated lies the hidden cost of fresh water. Training and running large AI models like GPT-3 can consume millions of liters of freshwater, from cooling servers to producing electricity. This ‘thirst’ is often overlooked on multiple fronts, by consumers as well as industries because companies rarely report their full water use across data centers, electricity generation, and hardware manufacturing. Without greater transparency and sustainable practices, the rapid growth of generative AI challenges global water scarcity at a time access to clean water is already under threat.
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