2021
DOI: 10.1016/j.ecolind.2021.107403
|View full text |Cite
|
Sign up to set email alerts
|

A hypothesis-driven statistical approach for identifying ecosystem indicators of coho and Chinook salmon marine survival

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
17
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 23 publications
(21 citation statements)
references
References 95 publications
1
17
0
Order By: Relevance
“…Fig 7 shows the statistically significant linkages between salmon counts, temperature, and flows in terms of MI and TE , for spring and fall runs, in addition to lagged linear correlations. As found in previous studies focusing on marine survival [ 19 ], the complete life-cycle [ 3 ], or adult returns [ 17 ], this indicates a high level of connectivity within the system, and no single variable is likely to explain more than half of the observational uncertainty. While TE < MI overall (circle sizes and link widths in Fig 7 ), the higher TE in spring indicates less redundancy, and more unique drivers of salmon counts during that season.…”
Section: Results: Seasonally Varying Chinook Driverssupporting
confidence: 53%
See 1 more Smart Citation
“…Fig 7 shows the statistically significant linkages between salmon counts, temperature, and flows in terms of MI and TE , for spring and fall runs, in addition to lagged linear correlations. As found in previous studies focusing on marine survival [ 19 ], the complete life-cycle [ 3 ], or adult returns [ 17 ], this indicates a high level of connectivity within the system, and no single variable is likely to explain more than half of the observational uncertainty. While TE < MI overall (circle sizes and link widths in Fig 7 ), the higher TE in spring indicates less redundancy, and more unique drivers of salmon counts during that season.…”
Section: Results: Seasonally Varying Chinook Driverssupporting
confidence: 53%
“…For example, considering nonlinear environmental drivers has been found to improve forecast accuracy in fisheries models [ 16 ] and the extent to which a variable is predictive can depend on nonlinear thresholds [ 13 ]. It has also been found that there are multiple relevant indicators of salmon returns [ 17 ], carryover effects within salmon lifecyles in which conditions experienced at one life stage affect a subsequent stage [ 18 ] and marine survival [ 19 ], but no single indicator or subset of indicators is highly explanatory. Moreover, it has been found that the relationships between indicator variables themselves can be non-stationary [ 20 , 21 ], which has implications for predictive skills of models based on certain input combinations, and indicates the difficulty in distinguishing causal drivers from temporary correlations.…”
Section: Introductionmentioning
confidence: 99%
“…The extended spatial and temporal characteristics of salmonid migration mean that factors acting over long periods and broad geographic scales may all contribute, both cumulatively and synergistically, to the currently depressed populations (Knudsen & McDonald, 2020; Thorstad et al, 2012). Thus, the freshwater and marine survival of anadromous salmonids are known to be intertwined at the population level, although our knowledge of the relationship between the two is limited (McCormick et al, 2009; Sobocinski et al, 2021). Anadromous salmonid marine mortality is considered to be density‐independent (Flávio et al, 2019; Jonsson et al, 1998), which implies that the number of juvenile individuals, the smolts, entering seawater will broadly determine the number of adults that return from sea to spawn (McCormick et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…The extended spatial and temporal characteristics of salmonid migration means that factors acting over long periods and broad geographic scales may all contribute, both cumulatively and synergistically, to the currently depressed populations (Knudsen andMcDonald 2020, Thorstad, et al 2012). Thus, the freshwater and marine survival of anadromous salmonids are known to be intertwined at the population level, although our knowledge of the relationship between the two is limited (McCormick et al 2009, Sobocinski et al 2021. Anadromous salmonid marine mortality is considered to be density-independent (Flávio et al 2019, Jonsson et al 1998, which implies that the number of juvenile individuals, the smolts, entering seawater will broadly determine the number of adults that return from sea to spawn ).…”
Section: Discussionmentioning
confidence: 99%