First-Ever A.I. Algorithm Correctly Estimates Coastal Fish Stocks; Could Save Millions, Bridge Global Data, Sustainability Divide

May 18th, 2023

For the first time, a newly published artificial intelligence (AI) algorithm is allowing researchers to quickly and accurately estimate coastal fish stocks without ever entering the water. This breakthrough could save millions of dollars in annual research and monitoring costs while bringing data access to least-developed countries about the sustainability of their fish stocks.

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Mimicking Natural Spring Runoff: Researchers Tagging Juvenile Sacramento River Salmon To Measure Survival Benefits Of ‘Pulse Flows’

April 26th, 2023

Researchers from NOAA Fisheries and University of California Santa Cruz are tagging several groups of juvenile salmon in the Sacramento River system to help measure the benefits from the river’s first “pulse flow.” A pulse flow is a rapid increase and decrease in dam released water designed to resemble natural spring runoff.

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Tribes, Corps Studying Impacts Of Sediment Buildup (Deltas) At Mouths Of Columbia River Tribs; Impacts Temps, Predation, Salmon Survival

April 14th, 2023

The amount of sediment carried by Columbia River waters to the Pacific Ocean has declined by about half since Bonneville Dam was built in 1935. Much of the sediment no longer moved by the river has found a home at the mouths of tributaries, creating shallow sediment fans or deltas where warm water and predators impact juvenile salmon and steelhead, some listed under the federal Endangered Species Act.

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Why Are Southern Resident Killer Whales Not Recovering? Ground-Breaking Study Shows Inbreeding Major Contributor To Decline Of Endangered Orcas

March 22nd, 2023

The small size and isolation of the endangered population of Southern Resident killer whales in the Pacific Northwest have led to high levels of inbreeding. This inbreeding has contributed to their decline, which has continued as surrounding killer whale populations expand, according to research published in Nature Ecology and Evolution.

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