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Record W2075293381 · doi:10.1242/jeb.023804

GLOBAL WARMING COULD CANCEL `JOURNEY OF A THOUSAND MILES'

2009· article· en· W2075293381 on OpenAlexaffabout
Jodie L. Rummer

Bibliographic record

VenueJournal of Experimental Biology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScope (computer science)FisheryFish <Actinopterygii>Range (aeronautics)Global warmingAerobic exerciseEnvironmental scienceEcologyClimate changeOceanographyGeographyBiologyGeologyComputer scienceEngineering

Abstract

fetched live from OpenAlex

Pacific salmon–among the `elite' athletes of the sea–hatch in rivers, spend their adult years in the ocean, and then make one last incredible journey up-river to reproduce in their natal streams. This final trek, or spawning run, returns 10 million salmon to North American west coast rivers annually where, for up to 1000 km, they encounter turbulent currents,narrow deep gorges (particularly the Fraser River's appropriately named Hell's Gate) and fluctuating temperatures. However, humans may have created a new hurdle that salmon may not be able to overcome. Tony Farrell and his colleagues in Canada suggest that increasing river temperatures profoundly affect the salmon's athletic capacity, and are largely responsible for salmon vanishing from their migration routes.Farrell's team wondered why some salmon populations seemed to be more affected by temperature than others, and so they compared `aerobic scope'between several populations. Aerobic scope is the range of swimming speeds that a fish can sustain before resorting to quick bursts of anaerobic exercise(not requiring oxygen) or suffering complete cardiovascular failure. As expected, athletic fish would possess a greater aerobic scope than couch potatoes. Furthermore, there is a swimming intensity within this range where the fish's body captures and delivers oxygen to the animal's working muscles most efficiently. Because oxygen capture and delivery is a temperature-sensitive process, it makes sense to understand how temperature influences aerobic scope.The team collected salmon at various points along the Fraser River migration routes and determined their aerobic scope by testing how long the fish could swim at various temperatures and speeds before becoming exhausted. They found that some populations swam most efficiently in warm waters while others swam best at cooler temperatures. The team also noticed that when a wide range of temperatures are available, the salmon opted to swim predominantly at temperatures where they are physiologically most efficient and have the greatest aerobic scope.To understand how efficiently salmon were exercising in the wild, the next step was to determine temperatures along the spawning routes. Farrell's group equipped some of the migrating fish with tracking devices to monitor their locations and nearby water conditions, and then compared the present day temperatures to historic temperatures. The team discovered that current river temperatures are higher than have been recorded in 50 years! Rising river temperatures mean that some populations are forced to swim at temperatures near the boundaries of their aerobic scope, resulting in enormous energy expenditure. Essentially, migrating salmon are exercising at physiologically inefficient and potentially life-threatening temperatures.As if the fish don't have enough difficulties in hot water, temperature also signals when the fish should begin migrating. Unfortunately, increasing temperatures have confused fish into hurrying or delaying their journey,usually resulting in death before they reach their spawning grounds. However,the researchers in Canada did report one optimistic discovery. Some populations were observed `out-smarting' thermal barriers, waiting in deep cooler tributaries or lakes until the river temperatures became safe for them to enter. Ultimately, this waiting strategy increases migration success and guarantees a next generation, but is only a short-term fix to the global problem. Farrell's group concludes that temperature is the key to successful salmon migration, and suspects that global climate change may lead to the disappearance of the entire species if the thermal barriers that we have created prevent their epic journey home.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0240.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.297
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes2
Has abstractyes

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