Warming streams could be the end for salmon
California Chinook salmon face many threats, but a new study predicts that climate change alone could finish them off as streams become too warm for spawning. Spawning salmon in Butte Creek, above Centerville, Calif. Credit: Allen Harthorn, Friends of Butte Creek
Warming streams could spell the end of spring-run Chinook salmon in California by the end of the century, according to a study by scientists at UC Davis, the Stockholm Environment Institute and the National Center for Atmospheric Research.
There are options for managing water resources to protect the salmon runs, although they would impact hydroelectric power generation, said Lisa Thompson, director of the Center for Aquatic Biology and Aquaculture at UC Davis. A paper describing the study is published online this week by the Journal of Water Resources Planning and Management.
"There are things that we can do so that we have the water we need and also have something left for the fish," Thompson said.
Working with Marisa Escobar and David Purkey at SEI's Davis office, Thompson and colleagues at UC Davis used a model of the Butte Creek watershed, taking into account the dams and hydropower installations along the river, combined with a model of the salmon population, to test the effect of different water management strategies on the fish. They fed in scenarios for climate change out to 2099 from models developed by David Yates at NCAR in Boulder, Colo.
In almost all scenarios, the fish died out because streams became too warm for adults to survive the summer to spawn in the fall.
The only option that preserved salmon populations, at least for a few decades, was to reduce diversions for hydropower generation at the warmest time of the year.
Warming temperatures mean that salmon may no longer be able to spawn in California's creeks, unless water is diverted from other uses. Spawning salmon in Butte Creek, above Centerville, Calif. Credit: Allen Harthorn, Friends of Butte Creek.
"If we leave the water in the stream at key times of the year, the stream stays cooler and fish can make it through to the fall," Thompson said.Summer, of course, is also peak season for energy demand in California. But Thompson noted that it might be possible to generate more power upstream while holding water for salmon at other locations.
Hydropower is often part of renewable energy portfolios designed to reduce greenhouse gas emissions, Purkey said, but it can complicate efforts to adapt water management regimes to a warming world. Yet it need not be all-or-nothing, he said.
"The goal should be to identify regulatory regimes which meet ecosystem objectives with minimal impact on hydropower production," he said. "The kind of work we did in Butte Creek is essential to seeking these outcomes."
There are also other options that are yet to be fully tested, Thompson said, such as storing cold water upstream and dumping it into the river during a heat wave. That would both help fish and create a surge of hydropower.
Salmon are already under stress from multiple causes, including pollution, and introduced predators and competitors, Thompson said. Even if those problems were solved, temperature alone would finish off the salmon but that problem can be fixed, she said.
Provided by University of California - Davis
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so far the PHYSICISTS at CERN now disagree
as do PHYSICISTS are HARVARD who tested the back radiation claim and found it violates the 2nd law of thermodynamics
the guys doing the models are ABYSMALL... they are zero correct in all years they have projected...
i am a physicist who writes applications software for a research hospital school..
if you actually knew how those models were writen, what they dont have thats BASIC and so on... you woudl say "i am giving up my life to the politburo for this?"
just representing the world in a grid whose squares are just under 500 kilometers on a side is enough!!!
and how about the propagation of error due to rounding the more iterations? the fudging data under the FALSE idea that aligning the data to the model will get the model to parallel reality when chaos theory clearly proves that such forward modeling is very limited as best. which is why you cant predict the weather a month in advance, but have to believe they do 100yrs