2018
DOI: 10.1098/rspb.2018.1855
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Non-stationary climate–salmon relationships in the Gulf of Alaska

Abstract: Studies of climate effects on ecology often account for non-stationarity in individual physical and biological variables, but rarely allow for non-stationary relationships among variables. Here, we show that non-stationary relationships among physical and biological variables are central to understanding climate effects on salmon (Onchorynchus spp.) in the Gulf of Alaska during 1965-2012. The relative importance of two leading patterns in North Pacific climate, the Pacific Decadal Oscillation (PDO) and North P… Show more

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Cited by 84 publications
(127 citation statements)
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“…This hypothesis is supported by observations of declining collinearity among local environmental variables in the era of weaker Aleutian Low variance (Litzow et al. ). This apparent nonstationary collinearity among physical variables was accompanied by nonstationary population responses to climate.…”
Section: Introductionmentioning
confidence: 64%
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“…This hypothesis is supported by observations of declining collinearity among local environmental variables in the era of weaker Aleutian Low variance (Litzow et al. ). This apparent nonstationary collinearity among physical variables was accompanied by nonstationary population responses to climate.…”
Section: Introductionmentioning
confidence: 64%
“…Following a previously recognized shift in North Pacific climate that occurred in 1988/1989 (Hare and Mantua ), low‐frequency temporal variance in sea level pressure anomalies (SLPa) associated with the Aleutian Low declined (Litzow et al. ). This decline in variance was apparently part of a basin‐scale change in climate patterns, still imperfectly understood, that involved changing atmospheric teleconnections between the tropical and extra‐tropical North Pacific (Di Lorenzo et al.…”
Section: Introductionmentioning
confidence: 99%
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“…For Ontario and California, Ouarda et al () note AMO‐, ENSO‐, and PDO‐related nonstationarities for rainfall intensity–duration–frequency relationships, which bears implications for river flood management. For successful prediction of the level of salmon recruitment to Alaskan rivers, Litzow et al () also highlight the importance of understanding the time‐varying association between modes of climate variability and North Pacific Ocean climate. They identified the late 1980s as a period when predictions based on the covariant behaviour of the PDO and North Pacific Gyre Oscillation broke down most likely due a transition of Pacific Ocean sea surface temperatures from a cool (negative PDO) to warm (positive PDO) phase, which influenced weather patterns in the region of the Aleutian Low.…”
Section: Modes Of Climate Variability and River Flowmentioning
confidence: 99%
“…Climate seen in this way is clearly important to rivers and their physical and ecological processes as the climate of a location, including its mean, variability, trend, and extreme characteristics, provides the setting for a range of possible hydrological responses. Further, as climate is nonstationary (Litzow et al, ; Ouarda, Yousef, & Charron, ; Razavi, Elshorbagy, Wheater, & Sauchyn, ; Rodriguez‐Fonseca et al, ), the relationship between climate and river systems may alter over time, such that there may be no true hydrologically normal state in river systems. Moreover, climate, embodying the thermodynamic/hydrodynamic setting of a place, may change from near instantaneous to millennial time scales, such that river systems are in a continued state of climate‐dependent flux, all other factors such as geological/tectonic and anthropogenic influences being equal.…”
Section: Introductionmentioning
confidence: 99%