Surviving without ice

Apherusa glacialis in situ in sea ice.<br>Photo courtesy Geir Johnsen<br>

With sea ice in the Arctic melting to record lows in summer months, marine animals living there face dramatic changes to their environment. Yet some crustaceans, previously thought to spend their entire lives on the underside of sea ice, were recently discovered to migrate deep underwater and follow ocean currents back to colder areas when ice disappears.

“Our findings provide a basic new understanding of the adaptations and biology of the ice-associated organisms within the Arctic Ocean,” said Mark Moline, director of the University of Delaware’s School of Marine Science and Policy in the College of Earth, Ocean, and Environment. “They also may ultimately change the perception of ice fauna as imminently threatened by the predicted disappearance of perennial sea ice.”

Moline, Jørgen Berge of the University of Tromsø and Norwegian colleagues found the crustaceans, specifically amphipods Apherusa glacialis that resemble small shrimp, well below sea ice during a rare winter, nighttime research expedition to the Fram Strait and Eurasian section of the Arctic Ocean. They determined that the crustaceans migrate downward as part of their life cycles and ride deep-ocean currents toward the North Pole.

The crustaceans’ travels appear to be an adaptive trait that both increases survival during ice-free periods and enables them to be retained in the Arctic Ocean.

The scientists refer to their findings as the “Nemo hypothesis,” based on an analogy to the Disney movie Finding Nemo in which Nemo’s father uses deep-ocean currents for transportation. In a similar mechanism, Arctic crustaceans detached from melting sea ice move into depths where the northernmost branch of the Gulf Stream System effectively transports them back into the Arctic Ocean.

Previously, these organisms were generally considered to be passively exported either out the Fram Strait or down to inhabitable depths when released from melting sea ice – either of which would be life-threatening outcomes as they lost the habitat on which they depend to survive.

“Through the Nemo hypothesis, we offer a new and exciting perspective that, although still based on a limited dataset, might change our perception of the ice-associated organisms and their future in an Arctic Ocean potentially void of summer sea ice within the next few decades,” Berge said.

From an evolutionary perspective, the migration may be an adaptation that allowed survival in a more seasonally ice-covered Arctic, as experienced several times during the last 12,000 years. Some reports indicate that the Arctic Ocean lacked summer sea ice as late as 8,000 years ago.

The findings may help explain how ice-associated organisms can survive in large populations in the Arctic when their habitat is annually reduced by up to 80 percent in the summer before re-forming in the early winter.

“We believe that this is an important contribution towards a more comprehensive understanding of potential consequences of a continued warming of the Arctic and the predicted loss of summer sea ice,” Berge said.

The article was published in Biology Letters online on Sept. 12. The work was funded primarily by the Research Council of Norway, with support for Moline provided by the U.S.-Norway Fulbright Program through his role as Distinguished Arctic Chair.

Media Contact

Andrea Boyle Tippett EurekAlert!

More Information:

http://www.udel.edu

All latest news from the category: Life Sciences and Chemistry

Articles and reports from the Life Sciences and chemistry area deal with applied and basic research into modern biology, chemistry and human medicine.

Valuable information can be found on a range of life sciences fields including bacteriology, biochemistry, bionics, bioinformatics, biophysics, biotechnology, genetics, geobotany, human biology, marine biology, microbiology, molecular biology, cellular biology, zoology, bioinorganic chemistry, microchemistry and environmental chemistry.

Back to home

Comments (0)

Write a comment

Newest articles

Machine learning algorithm reveals long-theorized glass phase in crystal

Scientists have found evidence of an elusive, glassy phase of matter that emerges when a crystal’s perfect internal pattern is disrupted. X-ray technology and machine learning converge to shed light…

Mapping plant functional diversity from space

HKU ecologists revolutionize ecosystem monitoring with novel field-satellite integration. An international team of researchers, led by Professor Jin WU from the School of Biological Sciences at The University of Hong…

Inverters with constant full load capability

…enable an increase in the performance of electric drives. Overheating components significantly limit the performance of drivetrains in electric vehicles. Inverters in particular are subject to a high thermal load,…

Partners & Sponsors