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To assess the ocean’s health, ecology’s “rugged individualists” learned to get with the big data program.
A disarmingly simple model of ecology does everything well — except predict how rapidly nature can change. Can it become more realistic while still avoiding all of biology’s messy complexities?
Scientists are homing in on a warning signal that arises in complex systems like ecological food webs, the brain and the Earth’s climate. Could it help prevent future catastrophes?
Complex natural systems defy analysis using a standard mathematical toolkit, so one ecologist is throwing out the equations.
The biologist Nancy Moran has spent a career investigating the surprising nature of symbiosis, a phenomenon in which two species can appear to merge into one.
The soil teems with billions of hidden microbes. Researchers have begun to catalog how these organisms are changing the world.
In the few decades since viruses were first found in the oceans, scientists have only been able to identify a handful of species. A new survey has uncovered nearly all the rest.
The movement of lizards around the Caribbean is forcing researchers to account for human activity in even their most basic ecological models.
Nature’s large-scale patterns emerge from incomplete surveys that borrow ideas from information theory.
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