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How a Species Evolved Fast Enough to Save Itself from Extinction

1 month 3 weeks ago
California saw its worst drought in 10,000 years between 2012 and 2015, remembers the Washington Post. And yet genetic analyses of California's scarlet monkeyflower "found that many rapidly evolved... allowing them to cope with water scarcity and rebound from decline." "The fact that certain organisms are able to adapt just because of genetics that are already present is a great source of hope," said Daniel Anstett, a plant biologist at Cornell University and lead author on a new study on the issue. "It's one more arrow in the quiver of different ways that populations might be able to survive the massive climate change we're inflicting on the planet." The recovery of [Sequoia National Park's] scarlet monkeyflowers offers rare, real-world evidence of what scientists call "evolutionary rescue," according to the study published Thursday in the journal Science. It suggests that some species may be able to evolve quickly enough to keep up with the accelerating consequences of human-caused warming — essentially saving themselves from extinction. This discovery could help people decide how to distribute limited conservation funds by pinpointing which species have enough genetic diversity to be resilient, ecologists Mark Urban and Laurinne Balstad, who were not involved in the study, wrote in a separate analysis published by Science. "The challenge going forward is to identify when evolutionary rescue is possible, when it is not, and how to rescue those species that cannot rescue themselves," Urban and Balstad wrote.

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EditorDavid

AI's Productivity Boost? Just 16 Minutes Per Week, Claims Study

1 month 3 weeks ago
"A new study suggests the productivity boost from AI may be far smaller than executives claim," writes Slashdot reader BrianFagioli: According to research cited in Foxit's State of Document Intelligence report, while 89% of executives and 79% of end users say AI tools make them feel more productive, the actual time savings shrink dramatically once people account for reviewing and validating AI-generated output. The survey of 1,000 desk-based workers and 400 executives in the United States and United Kingdom found executives believe AI saves them about 4.6 hours per week, but they spend roughly 4 hours and 20 minutes verifying those results. End users reported a similar pattern, estimating 3.6 hours saved but 3 hours and 50 minutes spent reviewing AI work. Once that "verification burden" is factored in, executives gain just 16 minutes per week, while end users actually lose about 14 minutes.

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EditorDavid