Abstract:Understanding the factors contributing to declining smolt‐to‐adult survival (hereafter “smolt survival”) of Coho Salmon Oncorhynchus kisutch originating in the Salish Sea of southwestern British Columbia and Washington State is a high priority for fish management agencies. Uncertainty regarding the relative importance of mortality operating at different spatial scales hinders the prioritization of science and management activities. We therefore examined spatial and temporal coherence in smolt survivals for Coh… Show more
“…1. e-folding scale (v) is the distance apart at which population correlation coefficients would be reduced to 37% (i.e., e -1 × 100%) of the expected mean correlation at a distance of 0 km, 0 (the intercept). The e-folding scale is an arbitrary measure but provides a common metric to compare the scale of spatial synchrony in smolt survival with that in other studies (e.g., Kilduff et al 2014;Ruff et al 2017;Teo et al 2009;Zimmerman et al 2015). Larger v values suggest similar patterns for populations that are further apart, whereas smaller values imply similarities for close-together populations.…”
Section: Correlation-by-distance Analysis Of Smolt Survival Time Seriesmentioning
confidence: 99%
“…Thus, it might be expected that they would exhibit lower rates of variation in recruitment and marine survival over time than many marine fishes. However, research shows that marine survival for many Pacific salmonids varies greatly over time (e.g., Kilduff et al 2014;Peterman et al 1998;Pyper et al 2002;Teo et al 2009;Zimmerman et al 2015), though it has not been fully examined across species. With persistent pressures on Pacific salmonids by humans, the increasing threat of climate change, and continued calls for recovery, monitoring population abundance and survival trends over space and time is essential for identifying the factors affecting population dynamics to guide appropriate management and conservation actions (Bisbal and McConnaha 1998;Burke et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, there has been increasing concern that poor marine survival of Pacific Northwest (including British Columbia (BC), Washington, and Oregon) steelhead may contribute to their declining abundance and lack of recovery (Moore et al 2015;Ward 2000 Beamish et al 2000;Beetz 2009;Coronado and Hilborn 1998a;Teo et al 2009;Zimmerman et al 2015; and Chinook salmon (Oncorhynchus tshawytscha): Coronado and Hilborn 1998b;Duffy and Beauchamp 2011;Kilduff et al 2014;Ruff et al 2017;Sharma and Liermann 2010;Sharma et al 2013), such an analysis has been done for only one steelhead population -the Keogh River of BC (Ward 2000;Ward and Slaney 1988). There are few large-scale mass mark-recapture or life-cycle monitoring studies (e.g., coded wire tag studies) on steelhead, and few populations are intercepted in marine fisheries, making it more difficult to estimate marine survival rates.…”
Section: Introductionmentioning
confidence: 99%
“…We then estimated smolt-to-adult return (SAR) rates since the late 1970s for 14 wild populations and 34 hatchery populations from Oregon, Washington, and BC. Finally, we measured spatial and temporal covariation in SARs to help us understand the spatial and temporal scales at which environmental variables may be related to these trends (as in Zimmerman et al 2015).…”
Examination of population abundance and survival trends over space and time can guide management and conservation actions with information about the spatial and temporal scale of factors affecting them. Here, we analyzed steelhead trout (anadromous Oncorhynchus mykiss) adult abundance time series from 35 coastal British Columbia and Washington populations along with smolt-to-adult return (smolt survival) time series from 48 populations from Washington, Oregon, and the Keogh River in British Columbia. Over 80% of the populations have declined in abundance since 1980. A multivariate autoregressive statespace model revealed smolt survival four groupings: Washington and Oregon coast, lower Columbia River, Strait of Juan de Fuca, and Puget Sound -Keogh River populations. Declines in smolt survival rates were seen for three of the four groupings. Puget Sound and Keogh River populations have experienced low rates since the early 1990s. Correlations between population pairs' time series and distance apart illustrated that smolt survival rates were more positively correlated for proximate populations, suggesting that important processes, including those related to ocean survival, occur early in the marine life of steelhead. Les populations du Puget Sound et de la rivière Keogh présentent de faibles taux de survie depuis le début des années 1990. Les corrélations entre les séries chronologiques de paires de populations et les distances les séparant illustrent le fait que les taux de survie des saumoneaux montrent de plus fortes corrélations positives pour les populations rapprochées, ce qui porte à croire que des processus importants, dont les processus associés à la survie en mer, s'exercent au début de la vie en mer des truites arc-en-ciel anadromes. [Traduit par la Rédaction]
“…1. e-folding scale (v) is the distance apart at which population correlation coefficients would be reduced to 37% (i.e., e -1 × 100%) of the expected mean correlation at a distance of 0 km, 0 (the intercept). The e-folding scale is an arbitrary measure but provides a common metric to compare the scale of spatial synchrony in smolt survival with that in other studies (e.g., Kilduff et al 2014;Ruff et al 2017;Teo et al 2009;Zimmerman et al 2015). Larger v values suggest similar patterns for populations that are further apart, whereas smaller values imply similarities for close-together populations.…”
Section: Correlation-by-distance Analysis Of Smolt Survival Time Seriesmentioning
confidence: 99%
“…Thus, it might be expected that they would exhibit lower rates of variation in recruitment and marine survival over time than many marine fishes. However, research shows that marine survival for many Pacific salmonids varies greatly over time (e.g., Kilduff et al 2014;Peterman et al 1998;Pyper et al 2002;Teo et al 2009;Zimmerman et al 2015), though it has not been fully examined across species. With persistent pressures on Pacific salmonids by humans, the increasing threat of climate change, and continued calls for recovery, monitoring population abundance and survival trends over space and time is essential for identifying the factors affecting population dynamics to guide appropriate management and conservation actions (Bisbal and McConnaha 1998;Burke et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, there has been increasing concern that poor marine survival of Pacific Northwest (including British Columbia (BC), Washington, and Oregon) steelhead may contribute to their declining abundance and lack of recovery (Moore et al 2015;Ward 2000 Beamish et al 2000;Beetz 2009;Coronado and Hilborn 1998a;Teo et al 2009;Zimmerman et al 2015; and Chinook salmon (Oncorhynchus tshawytscha): Coronado and Hilborn 1998b;Duffy and Beauchamp 2011;Kilduff et al 2014;Ruff et al 2017;Sharma and Liermann 2010;Sharma et al 2013), such an analysis has been done for only one steelhead population -the Keogh River of BC (Ward 2000;Ward and Slaney 1988). There are few large-scale mass mark-recapture or life-cycle monitoring studies (e.g., coded wire tag studies) on steelhead, and few populations are intercepted in marine fisheries, making it more difficult to estimate marine survival rates.…”
Section: Introductionmentioning
confidence: 99%
“…We then estimated smolt-to-adult return (SAR) rates since the late 1970s for 14 wild populations and 34 hatchery populations from Oregon, Washington, and BC. Finally, we measured spatial and temporal covariation in SARs to help us understand the spatial and temporal scales at which environmental variables may be related to these trends (as in Zimmerman et al 2015).…”
Examination of population abundance and survival trends over space and time can guide management and conservation actions with information about the spatial and temporal scale of factors affecting them. Here, we analyzed steelhead trout (anadromous Oncorhynchus mykiss) adult abundance time series from 35 coastal British Columbia and Washington populations along with smolt-to-adult return (smolt survival) time series from 48 populations from Washington, Oregon, and the Keogh River in British Columbia. Over 80% of the populations have declined in abundance since 1980. A multivariate autoregressive statespace model revealed smolt survival four groupings: Washington and Oregon coast, lower Columbia River, Strait of Juan de Fuca, and Puget Sound -Keogh River populations. Declines in smolt survival rates were seen for three of the four groupings. Puget Sound and Keogh River populations have experienced low rates since the early 1990s. Correlations between population pairs' time series and distance apart illustrated that smolt survival rates were more positively correlated for proximate populations, suggesting that important processes, including those related to ocean survival, occur early in the marine life of steelhead. Les populations du Puget Sound et de la rivière Keogh présentent de faibles taux de survie depuis le début des années 1990. Les corrélations entre les séries chronologiques de paires de populations et les distances les séparant illustrent le fait que les taux de survie des saumoneaux montrent de plus fortes corrélations positives pour les populations rapprochées, ce qui porte à croire que des processus importants, dont les processus associés à la survie en mer, s'exercent au début de la vie en mer des truites arc-en-ciel anadromes. [Traduit par la Rédaction]
“…The reduced growth of resident salmon compared with those feeding along the coast is balanced against the higher survival rates of resident fish. Survival rates of coho salmon entering the Salish Sea are higher on average than coho salmon of coastal populations but the survival rates in these regions have shown different trajectories over the past decades (Zimmerman et al, 2015). Assuming similar patterns with Chinook salmon, the resident component of the population complex might enjoy higher overall fitness in some regimes and lower in others, effectively buffering the complex as a whole.…”
Climate change and human activities are transforming river flows globally, with potentially large consequences for freshwater life. To help inform watershed and flow management, there is a need for empirical studies linking flows and fish productivity.
We tested the effects of river conditions and other factors on 22 years of Chinook salmon productivity in a watershed in British Columbia, Canada.
Freshwater conditions during adult salmon migration and spawning, as well as during juvenile rearing, explained a large amount of variation in productivity.
August river flows while salmon fry reared had the strongest effect on productivity—our model predicted that cohorts that experience 50% below average flow in the August of rearing have 21% lower productivity.
These contemporary relationships are set within long‐term changes in climate, land use, and hydrology. Over the last century, average August river discharge decreased by 26%, air temperatures warmed, and water withdrawals increased. Seventeen percent of the watershed was logged in the last 20 years.
Our results suggest that, in order to remain stable, this Chinook salmon population being assessed for legal protection requires substantially higher August flow than previously recommended. Changing flow regimes—driven by watershed impacts and climate change—can threaten imperilled fish populations.
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