Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2012 Mar 14;7(3):e31311. doi: 10.1371/journal.pone.0031311

A Synthesis of Tagging Studies Examining the Behaviour and Survival of Anadromous Salmonids in Marine Environments

S Matthew Drenner 1,*, Timothy D Clark 2, Charlotte K Whitney 1, Eduardo G Martins 1, Steven J Cooke 3, Scott G Hinch 1
Editor: A Peter Klimley4
PMCID: PMC3303779  PMID: 22431962

Abstract

This paper synthesizes tagging studies to highlight the current state of knowledge concerning the behaviour and survival of anadromous salmonids in the marine environment. Scientific literature was reviewed to quantify the number and type of studies that have investigated behaviour and survival of anadromous forms of Pacific salmon (Oncorhynchus spp.), Atlantic salmon (Salmo salar), brown trout (Salmo trutta), steelhead (Oncorhynchus mykiss), and cutthroat trout (Oncorhynchus clarkii). We examined three categories of tags including electronic (e.g. acoustic, radio, archival), passive (e.g. external marks, Carlin, coded wire, passive integrated transponder [PIT]), and biological (e.g. otolith, genetic, scale, parasites). Based on 207 papers, survival rates and behaviour in marine environments were found to be extremely variable spatially and temporally, with some of the most influential factors being temperature, population, physiological state, and fish size. Salmonids at all life stages were consistently found to swim at an average speed of approximately one body length per second, which likely corresponds with the speed at which transport costs are minimal. We found that there is relatively little research conducted on open-ocean migrating salmonids, and some species (e.g. masu [O. masou] and amago [O. rhodurus]) are underrepresented in the literature. The most common forms of tagging used across life stages were various forms of external tags, coded wire tags, and acoustic tags, however, the majority of studies did not measure tagging/handling effects on the fish, tag loss/failure, or tag detection probabilities when estimating survival. Through the interdisciplinary application of existing and novel technologies, future research examining the behaviour and survival of anadromous salmonids could incorporate important drivers such as oceanography, tagging/handling effects, predation, and physiology.

Introduction

Importance of salmonids, and recent population trends

Anadromous salmonids are important ecologically, culturally, and economically across the globe, as a critical aspect of their ecological systems, as a significant commercial and artisanal fishery, and as a sensitive environmental indicator. They provide cultural and social value to local and native peoples [1], and form a multi-million dollar global fishery. While at sea and in freshwater, salmonids are important prey items and nutrient sources, and they continue to provide such benefits after death by supplying enrichment to terrestrial systems as they decay on the riverbed [2], [3]. An anadromous life history means that salmonids can be affected by changes in both freshwater and marine ecosystems, including widespread habitat degradation, altered ecosystem productivity, overharvest, and climate change [4][10].

Over the last century, many populations of wild salmonids have declined in abundance [7], [11][15]. In recent years, some populations have been threatened with extinction and extirpation [16], [17] resulting in many areas that are either devoid of salmon [8], [18] or are reliant on hatchery-raised salmon populations [15]. In many regions, enhancement programs such as hatcheries and fish farms (aquaculture) have been introduced in an attempt to supplement wild populations and to meet the global demands for human consumption of salmon. However, hatchery and aquaculture enhancement may have inadvertently introduced a new suite of concerns for wild populations, such as interbreeding risk resulting in a loss of genetic variation, increased competition for scarce resources and habitat, and an increase in disease prevalence and dispersal [19][22]. The ‘crisis’ of declining salmon populations is currently considered one of the major issues in fisheries biology [8], and extensive management efforts are being applied in an attempt to conserve at-risk populations. In general, population declines seem to be more drastic in southern latitudes, and are less apparent at higher latitudes [23][26]. Perhaps the most alarming aspect is that the causes for the declines remain largely unknown.

The majority of research and management efforts on anadromous salmonids have historically focused on the freshwater phase of the lifecycle (including outmigrating juveniles, and upriver migrating adults) [3], [5]. The reason for this is largely technical, as there are inherent difficulties with studying salmonids in the marine environment. Consequently, current knowledge of the marine phase of the lifecycle (i.e. both juveniles and adults in saline environments including estuaries, coastal waters and open-ocean) is still quite limited, despite it being generally acknowledged as a critical stage related to low survival caused by both abiotic and biotic factors [7], [23], [27][30].

Objectives of this review

In light of the declining abundance of many wild salmon populations, and the knowledge gap relating to the behaviour and survival of salmonids in the marine environment, this paper has three main objectives. First, we reviewed the scientific literature to quantify the number and range of studies that have investigated aspects of salmon behaviour and survival in the marine environment. Owing to the impressive, informative and long-term data sets that have been generated through tagging studies, we focused our literature review on studies that utilized some form of tagging to investigate aspects of salmonid biology in marine waters. Second, we sought to synthesize the current state of knowledge concerning salmonid behaviour and survival in the marine environment. Third, we highlight particular knowledge gaps that require further attention and suggest some approaches, both technological and methodological, from which future studies could benefit in order to improve our understanding of salmonid biology. The review is broken into various life history phases that occur within the marine environment, namely the out-migration of juveniles (plus Atlantic salmon kelts [Salmo salar] and adult steelhead [Oncorhynchus mykiss]), sub-adults and adults in the open-ocean, and mature adults on their return spawning migration towards freshwater. To fully appreciate the complexity of the ‘salmon crisis’, with an aim to target key factors that may be responsible for the global decline in abundance of wild salmon, we first examine the complex life histories of the salmonids, followed by a brief review of tag types that are commonly applied to salmonids.

Life histories of salmonids

There is only one species of Atlantic salmon (family Salmonidae; species Salmo salar), while the Pacific salmonids (family Salmonidae; genus Oncorhynchus) comprise eight species, including Chinook (O. tshawytscha), chum (O. keta), coho (O. kisutch), pink (O. gorbuscha), sockeye (O. nerka), masu (O. masou), amago (O. rhodurus), and steelhead (O. mykiss). In addition, there are anadromous forms of brown trout and sea trout (S. trutta), and cutthroat trout (O. clarkii). Various species of Pacific salmon are found on both sides of the northern Pacific Ocean (Western Canada and the U.S. from California to Alaska, Japan, Russia, and Korea), whereas Atlantic salmon are found in the north-western (Spain north to the British Isles, Greenland, Norway and Finland) and the north-eastern (eastern Canada and the U.S.) Atlantic Ocean. Both Pacific and Atlantic salmon are considered anadromous, but in many of the species there are minorities of non-anadromous forms that remain in freshwater for the duration of their lives, however the latter are not included in this review.

There is a tremendous amount of variation in the timing of different life stages between and within anadromous salmon species (see for Pacific salmon and trout: [3], [31]; for Atlantic salmon: [32], [33]). However, most anadromous salmonids can be characterized by a generalized life cycle. Adults of both Atlantic and Pacific salmon spawn in freshwater streams or lakes (and some in intertidal areas; pink and chum salmon) and either die soon after (semelparous species of Pacific salmon), or have the ability to survive the spawning period (i.e. iteroparous species). Eggs deposited in substrate hatch to produce alevins, which remain under gravel and use a yolk sac for nutrition until they emerge as fry four to six weeks later. At this point, some species migrate directly to the ocean, while others remain in freshwater as parr and feed on small aquatic organisms typically for one to two years before migrating to the ocean. In the spring of a subsequent year, fish still in freshwater become smolts and migrate to the sea to forage and mature for a number of years before returning to natal spawning grounds to reproduce. The return spawning migration is among the most spectacular in the animal kingdom, with some species traversing entire oceans before entering freshwater and migrating up to 1,500 km upriver to spawn [5], [31].

Overview of tagging technologies and techniques

Various types of tags have historically, and are currently used for research on salmonids. Tags can be grouped into three main categories: passive, electronic, and biological. Passive tags are those which do not have an inbuilt battery, they often involve a visual marking of the fish, and they are primarily used for identification of individuals or groups once they are recaptured or within sight. Passive tags include external marks (e.g. adipose fin clips), external visual tags ( = t-bar anchor tags [e.g. Carlin, Floy, Peterson Disk, cinch tags]) and internally injected tags such as coded wire tags (CWT) and passive integrated transponder (PIT) tags. While PIT tags are characterised as passive, they use radio frequency energy from an antenna or a closely held scanner to power the tag circuits and allow a unique identifying signal to be transmitted.

Electronic tags (reviewed in [34]) were characterised as those which possess an inbuilt battery and may either store acquired data to an onboard memory chip [e.g. archival tags ( = data loggers)] or transmit the data, typically via acoustic or radio transmission, to a nearby receiver (e.g. standard acoustic and radio tags). There exist combined technology tags, such as pop-off satellite tags (PSATs) and smart position or temperature transmitting tags (SPOTs), which first archive and then transmit data to a satellite. Electronic tags have been used to measure a great range of environmental, behavioural and physiological information from fish, including temperature, depth, light, global or local position, acceleration, swimming muscle contractions, and heart rate [35][41]. Radio signals attenuate rapidly in saltwater, so radio tags are typically restricted to freshwater environments or when the radio signal can transmit through air such as with PSATs or SPOT tags. Acoustic tags, whether manually tracked by boat or automatically by an array of installed receivers, have proven useful in both marine and freshwater environments, although signal transmission can be affected by water depth and extraneous acoustic noise. Electronic tags are typically several orders of magnitude larger and more expensive than passive tags, which can both lower sample sizes within a study and restrict tagging to large individuals. Electronic tags that transmit allow for tracking along a migration route, meaning that tag recovery is not necessary to obtain data. Archival tags can acquire data even when fish are not within range of a receiver, but they must be recovered to download stored data.

Biological tags, or ‘natural tags’, include natural distinguishable markings, scale measurements, parasite identification, otolith (earbone) analysis, and DNA identification, many of which can provide information on factors such as fish age and habitats traversed. Biological tags are used without prior capture of the fish, thus eliminating any potential effects of capture and handling (for reviews see [42][44]). Methods such as otolith sampling necessitate that the fish be killed prior to sampling, while other methods can be performed non-lethally. Although methods such as parasite and DNA identification may not be considered ‘tagging’ in a classical sense, such methods have been used to provide detailed information concerning the origin and movement patterns of the fish.

Methods

Literature searches were carried out using two commercial academic search engines, ISI Web of Knowledge and Aquatic Sciences and Fisheries Abstracts, with a focus on peer-reviewed journal articles published in the English language as early as 1900 and extending to September 2011. We used combinations of key terms to focus search results on literature that used tagging as a method to study movement, behaviour, or survival in marine ecosystems of anadromous salmon within the genera Oncorhynchus and Salmo. Specifically, we focused on research of anadromous forms of Pacific salmon (pink, sockeye, Chinook, coho, chum, amago, masu), Atlantic salmon, as well as anadromous brown and sea trout, steelhead, and cutthroat trout (see Appendix S1 for exact Boolean search terms).

Search results from both academic search engines were pooled and duplicates removed. All abstracts from resulting papers in the search databases were read in order to eliminate any papers that did not meet the criteria for inclusion in the literature review; the study had to involve some form of tagging of free-living salmonids (i.e. salmonids released into the natural environment) and results had to include information on behaviour or survival in the marine environment. A descriptive review was performed on the papers meeting our criteria.

For the descriptive review, a spreadsheet was first constructed with predetermined variables to be queried of each paper. The variables were chosen as a means to address the author's objectives, methods, and results. Examples of variables that were queried of papers include the year of study, author's motivation (i.e. basic biology, conservation, enhancement, fisheries management), geographic location, fish natal origin, species, life stages, tag types, author's inferred variables from tags (i.e. swim speed, travel behaviour, location, survival), handling/tagging effects (i.e. measured, acknowledged, not mentioned), tag loss/failure (i.e. measured, acknowledged, not mentioned), tag detection efficiency (i.e. measured, acknowledged, not mentioned), hatchery/farmed vs. wild fish, environmental variables tested, and physiological variables tested. Although we limited our descriptive review to peer-reviewed articles from our directed searches, information from relevant government and non-government agency reports were incorporated into the review where appropriate, but not into the numerical results.

Results and Discussion

General observations

We identified 207 peer-reviewed articles (Appendix S2) published in the English language that met our criteria of using tagging in free-living fish to address anadromous salmonid behaviour or survival in the marine environments. The earliest publication resulting from our literature review appeared in 1940 [45]. As expected, the number of publications continuously increased since then ( Figs. 1 , 2 ), reflecting an increasing use of tagging for gathering information on salmonids in marine environments. The main motivation for research was primarily the pursuit of basic biological information (75.4%; n = 156), followed by fisheries management (30.4%; n = 63), achievement of broad conservation goals (23.2%; n = 48), development or testing of tagging methodologies (14.5%; n = 30), assessment of salmon enhancement (14.5%; n = 30), assessment of habitat degradation (5.3%; n = 11), and climate change (2.9%; n = 6). Given the widespread recognition of the impacts that global warming is having and will probably continue to have on aquatic systems [46], it was surprising that climate change was the least identified motivation of any of the research we reviewed.

Figure 1. Number of study of particular species by publication decade.

Figure 1

Total number of studies (n = 245) exceeds that of reviewed papers (n = 207) because many studies investigated more than one species. Steelhead, cutthroat, brown and sea trout were combined into “Anadromous trout”.

Figure 2. Number of use of specific tag types by publication decade.

Figure 2

Total number of tag use (n = 271) exceeds that of reviewed papers (n = 207) because many studies used more than one tag type. The category “T-Bar” includes carlin, cinch, spaghetti, Floy, and Petersen disk tags. The plot does not include data from a paper published in 1940 because the tag type used was not specified by the author.

Irrespective of fish species or study origin, the majority of research in which geographic location was specifically defined (n = 207) was performed in the northeast Pacific Ocean (45.9%; n = 95) and the northeast Atlantic Ocean (35.7%; n = 74). Other locations included the northwest Atlantic Ocean (9.2%; n = 17), northwest Pacific Ocean (6.3%; n = 13), Bering Sea (3.9%; n = 8), and southern Pacific Ocean near New Zealand (1.9%; n = 4). Out of 206 studies that defined fish natal origin, fish stocks from Norway/Finland (24.6%; n = 46) and British Columbia/Puget Sound (24.1%; n = 55) have been the most studied, followed by the continental U.S. west coast (19.3%; n = 44), British Isles (9.2%; n = 21), eastern Canada/U.S. (8.8%; n = 20), Japan/Russia (6.6%; n = 15), Alaska (5.7%; n = 13) and New Zealand (1.8%; n = 4). Furthermore, the majority of studies examined fish of hatchery origin (37.7%; n = 60) compared to wild origin (12.6%; n = 20), ranched (sea cage) origin (4.7%; n = 7), a combination of wild and hatchery origin (30.0%; n = 47), or a combination of ranched and hatchery origin (3.1%; n = 5). Out of the total occurrences of species within the research [i.e. (n = 245) because some studies examined more than one species], Pacific salmon were the most frequently studied (69.1%; n = 143), whereas Atlantic salmon and anadromous trout comprised 45% (n = 93) and 4.4% (n = 9) of studies, respectively ( Fig. 1 ). Within the Pacific salmonids, Chinook was the most studied (18.8%; n = 39), followed by coho (15.0%; n = 31), sockeye (13.5%; n = 28), steelhead (8.2%; n = 17), chum (7.7%; n = 16), pink (4.8%; n = 10), and masu (1.0%; n = 2) salmon. Overall, these results indicate very skewed distributions of research in terms of geographic location, species, and stock origins.

Various forms of tag technologies have been employed throughout the last half-century. Passive tag use has increased in recent decades, and out of the total number occurrences of tags [i.e. (n = 255) because some studies use more than one tag type], this was the most common tagging approach that we identified (57.3%; n = 146) ( Fig. 2 ). In regard to the total number of occurrences of tags in the literature (n = 255), acoustic tags were the single most dominant tagging method (27.0%; n = 69), followed by CWTs (19.2%; n = 49), external visual tags (t-bar anchor) (19.0%; n = 48), external markings (12.9%; n = 33), radio tags (9.4%; n = 24), PIT tags (6.3%; n = 16), data loggers (4.7%; n = 12), and various forms of biological tags (e.g. otoliths, parasites, scales) (1.6%; n = 4). When external markings were used (n = 33) they were primarily combined with another form of tagging (75.8%; n = 25). When acoustic transmitters were used (n = 102), they were applied primarily to study juveniles ( Tables 1 , 2 ). In contrast, when data loggers were used (n = 13), they were applied primarily to study adults in the open-ocean during or prior to their spawning migration to freshwater ( Tables 1 , 2 ), likely reflecting tag size, and efforts to maximise tag retrievals by relocating fish once they arrive at spawning grounds. Biological tags are relatively new techniques and were used in only four (1.6%) studies. The low number of studies using biological tags may have been an artefact of the literature search terms being too narrow to locate more of these studies.

Table 1. Frequency (% within parentheses) of use of different tag types to study the life stages of anadromous salmonids in the marine environment for studies focusing on survival (i.e. those focusing on only survival and both on survival and behaviour).

Tag type
Life stage Acoustic Radio Data Logger PIT CWT External Biological Row Total
Out-migration (juveniles) 23 (63.9/42.6) 3 (20/5.6) 0 (0/0) 7 (53.8/13) 10 (25.6/18.5) 11 (19.3/20.4) 0 (0/0) 54 (NA/100)
Out-migratin (juveniles) to open ocean 2 (5.6/20) 0 (0/0) 0 (0/0) 0 (0/0) 2 (5.1/20) 6 (10.5/60) 0 (0/0) 10 (NA/100)
Out-migration (kelts) 3 (8.3/42.9) 0 (0/0) 1 (100/14.3) 1 (7.7/14.3) 0 (0/0) 2 (3.5/28.6) 0 (0/0) 7 (NA/100)
Return migration 4 (11.1/15.4) 11 (73.3/42.3) 0 (0/0) 0 (0/0) 2 (5.1/7.7) 9 (15.8/34.6) 0 (0/0) 26 (NA/100)
Open-ocean 0 (0/0) 0 (0/0) 0 (0/0) 0 (0/0) 1 (2.6/33.3) 2 (3.5/66.7) 0 (0/0) 3 (NA/100)
Open-ocean to return migration 1 (2.8/100) 0 (0/0) 0 (0/0) 0 (0/0) 0 (0/0) 0 (0/0) 0 (0/0) 1 (NA/100)
Entire life cycle (juvenile-return adult) 3 (8.3/4.9) 1 (6.7/1.6) 0 (0/0) 5 (38.5/8.2) 24 (61.5/39.3) 27 (47.4/44.3) 1 (100/1.6) 61 (NA/100)
Column Total 36 (100/NA) 15 (100/NA) 1 (100/NA) 13 (100/NA) 39 (100/NA) 57 (100/NA) 1 (100/NA) 162 (100/100)

The first % value within parentheses shows the relative frequency of use of a given tag type across life stages. The second % value shows the relative frequency of use of different tag types to study a particular life stage. The total frequency of tag use (n = 342) exceeds that of reviewed papers (n = 207) because many studies encompassed more than one life stage. The category “Biological” includes otoliths and scales, whereas the category “External” includes Carlin, cinch, Floy, Petersen disk tags and external markings.

Table 2. Frequency (% within parentheses) of use of different tag types to study the life stages of anadromous salmonids in the marine environment for studies focusing on behaviour (i.e. those focusing on only behaviour and both on behaviour and survival).

Tag type
Life stage Acoustic Radio Data Logger PIT CWT External Biological Row Total
Out-migration (juveniles) 36 (54.5/60) 3 (13.6/5) 1 (8.3/1.7) 6 (66.7/10) 4 (21.1/6.7) 9 (18.8/15) 1 (25/1.7) 60 (NA/100)
Out-migratin (juveniles) to open ocean 2 (3/20) 0 (0/0) 0 (0/0) 0 (0/0) 0 (0/0) 8 (16.7/80) 0 (0/0) 10 (NA/100)
Out-migration (kelts) 4 (6.1/40) 0 (0/0) 2 (16.7/20) 1 (11.1/10) 0 (0/0) 3 (6.3/30) 0 (0/0) 10 (NA/100)
Return migration 16 (24.2/32) 17 (77.3/34) 3 (25/6) 0 (0/0) 1 (5.3/2) 13 (27.1/26) 0 (0/0) 50 (NA/100)
Open-ocean 3 (4.5/27.3) 0 (0/0) 2 (16.7/18.2) 0 (0/0) 4 (21.1/36.4) 1 (2.1/9.1) 1 (25/9.1) 11 (NA/100)
Open-ocean to return migration 1 (1.5/25) 0 (0/0) 3 (25/75) 0 (0/0) 0 (0/0) 0 (0/0) 0 (0/0) 4 (NA/100)
Entire life cycle (juvenile-return adult) 4 (6.1/11.4) 2 (9.1/5.7) 1 (8.3/2.9) 2 (22.2/5.7) 10 (52.6/28.6) 14 (29.2/40) 2 (50/5.7) 35 (NA/100)
Column Total 66 (100/NA) 22 (100/NA) 12 (100/NA) 9 (100/NA) 19 (100/NA) 48 (100/NA) 4 (100/NA) 180 (100/100)

The first % value within parentheses shows the relative frequency of use of a given tag type across life stages. The second % value shows the relative frequency of use of different tag types to study a particular life stage. The total frequency of tag use (n = 342) exceeds that of reviewed papers (n = 207) because many studies encompassed more than one life stage. The category “Biological” includes otoliths and scales, whereas the category “External” includes Carlin, cinch, Floy, Petersen disk tags and external markings.

Nearly 40% of studies examined multiple life stages (36.2%; n = 75), whereas the majority only examined a single life stage (63.8%; n = 132). External tags and CWTs were used most frequently in studies that examined multiple life stages beginning at the juvenile stage ( Tables 3 , 4 ), likely because they can be applied to large numbers of juvenile fish at a low cost, there is a publicly available database of CWT data [47], and because early marine juvenile survival is thought to be important when considering lifetime fitness. Acoustic transmitters were employed most frequently when the research objectives were to examine just one life stage ( Tables 3 , 4 ), an issue largely related to limited transmitter battery life.

Table 3. Frequency (% within parentheses) of use of different tag types to study single and multiple life stages of anadromous salmonids in the marine environment for studies focusing on survival (i.e. those focusing on only survival and both on survival and behaviour).

Tag type
Type of study Acoustic Radio Data Logger PIT CWT External Biological Row Total
Single stage 33 (91.7/37.9) 14 (93.3/16.1) 1 (100/1.1) 8 (61.5/9.2) 10 (25.6/11.5) 21 (36.8/24.1) 0 (0/0) 87 (NA/100)
Multiple stages 3 (8.3/4) 1 (6.7/1.3) 0 (0/0) 5 (38.5/6.7) 29 (74.4/38.7) 36 (63.2/48) 1 (100/1.3) 75 (NA/100)
Column Total 36 (100/NA) 15 (100/NA) 1 (100/NA) 13 (100/NA) 39 (100/NA) 57 (100/NA) 1 (100/NA) 162 (100/100)

The first % value within parentheses shows the relative frequency of use of a given tag type across type of study. The second % value shows the relative frequency of use of different tag types to study one or multiple life stages. The total frequency of tag use (n = 340) exceeds that of reviewed papers (n = 207) because some studies used more than one type of tag. The category “Biological” includes otoliths and scales, whereas the category “External” includes carlin, cinch, Floy and Petersen disk tags and external markings.

Table 4. Frequency (% within parentheses) of use of different tag types to study single and multiple life stages of anadromous salmonids in the marine environment for studies focusing on behaviour (i.e. those focusing on only behaviour and both on behaviour and survival).

Tag type
Type of study Acoustic Radio Data Logger PIT CWT External Biological Row Total
Single stage 61 (93.8/47.7) 19 (90.5/14.8) 8 (66.7/6.3) 7 (77.8/5.5) 7 (36.8/5.5) 24 (50/18.8) 2 (50/1.6) 128 (NA/100)
Multiple stages 4 (6.2/8) 2 (9.5/4) 4 (33.3/8) 2 (22.2/4) 12 (63.2/24) 24 (50/48) 2 (50/4) 50 (NA/100)
Column Total 65 (100/NA) 21 (100/NA) 12 (100/NA) 9 (100/NA) 19 (100/NA) 48 (100/NA) 4 (100/NA) 178 (100/100)

The first % value within parentheses shows the relative frequency of use of a given tag type across type of study. The second % value shows the relative frequency of use of different tag types to study one or multiple life stages. The total frequency of tag use (n = 340) exceeds that of reviewed papers (n = 207) because some studies used more than one type of tag. The category “Biological” includes otoliths and scales, whereas the category “External” includes carlin, cinch, Floy and Petersen disk tags and external markings.

The most frequent variable authors inferred from tagging studies was survival (59.0%; n = 122), various travel behaviours (e.g. holding, vertical migrations) (44.0%; n = 91), assessments of fish position or location (37.2%; n = 77), swim speed (26.6%; n = 55), migration route (23.7%; n = 49) and origin (9.7%; n = 20). A large proportion of the studies did not directly assess potential mechanisms influencing survival or behaviour; less than half of the studies (45.0%; n = 93) reported on linking environmental variables to tagging results, and even fewer (13.5%; n = 28) looked for associations between individual physiology and tagging results. Temperature was the most common environmental variable found to be associated with behaviour (17.9%; n = 27) and survival (9.1%; n = 6) ( Table 5 ). Among physiological variables the author's tested, energetic state of the fish was most commonly associated with behaviour (2.0%; n = 3), whereas osmoregulatory state of the fish was most commonly associated with survival (4.5%; n = 3) ( Table 5 ). Other variables commonly found to be associated with behaviour or survival included fish size and stock effects (i.e. populations, wild versus hatchery) ( Table 5 ). However, this does not necessarily mean that these particular variables are the most important in affecting salmonid behaviour or survival, as the variables were not equally tested for among studies.

Table 5. Number and frequency (% within parentheses) of a variable being found significant out of the total number of significant findings for behaviour (n = 151) or survival (n = 66).

Study focus
Category Variable Behaviour Survival
Environmental Temperature 27 (17.9) 6 (9.1)
Depth 16 (10.6) 1 (1.5)
Diel Effects 16 (10.6) 0 (0)
Tide 15 (9.9) 0 (0)
Current 8 (5.3) 0 (0)
Salinity 7 (4.6) 2 (3)
Productivity 2 (1.3) 3 (4.5)
River Discharge 4 (2.6) 3 (4.5)
Physiological Reproductive State 2 (1.3) 2 (3)
Stress Hormones 0 (0) 1 (1.5)
Ionoregulatory State 0 (0) 3 (4.5)
Energetic Status 3 (2) 1 (1.5)
Other Fish Size 16 (10.6) 15 (22.7)
Stock 16 (10.6) 14 (21.2)
Sex 2 (1.3) 1 (1.5)
Release Date 4 (2.6) 4 (6.1)
Release Location 2 (1.3) 3 (4.5)
Trophic Effects 5 (3.3) 1 (1.5)
Fisheries 1 (0.7) 4 (6.1)
Predation 5 (3.3) 2 (3)
Total 151 (100) 66 (100)

Note that the table is based on studies focusing solely on behaviour or survival, but not both.

Life-stage specific observations

Juvenile salmon and Atlantic salmon kelts

Most tagging studies focused on the juvenile portion of the salmon life cycle (65.7%; n = 136), likely because this life stage exhibits high and variable mortality rates, as well as a result of the ease of capture of fish, relatively high abundance, proximity to research institutions during outmigration (near river mouths and urban areas), and availability from hatchery programs. In contrast, research on the kelt life stage of Atlantic salmon was the least common focus, comprising only 5.0% (n = 6) of studies on iteroparous species (n = 119). Although less studied than juvenile out-migrations, kelt out-migration behaviour and survival patterns mirrored that of outmigrating smolts [48] so will be discussed in combination.

Juvenile pink, sockeye, steelhead, Atlantic salmon and Atlantic salmon kelts tend to move actively and rapidly through coastal (continental shelf) waters during out-migration to the ocean [48][54]. Chum, coho and Chinook tend to migrate at a much slower rate and can remain in coastal waters for longer periods of time [49], [50], [55], [56]. Apart from differences between species, movement rates through estuarine and coastal environments vary between population, fish origin (e.g. hatchery vs. wild; [49], [57], [58]) and body size [55], [57].

Juvenile salmon in coastal waters tend to migrate during ebb tides and at night [52], [53], [59], swimming actively within tides [60][62]. While estimates of swimming speed show some variability (e.g. from 0.53 body lengths per second (bl s−1) [58] up to 4 bl s−1 [52]), an average routine rate of 1 bl s−1 is common [63]. Laboratory swimming respirometry studies have found that a speed of 1 bl s−1 is associated with a minimum gross cost of transport [64]. Juveniles and kelts often exhibit clear diel vertical and horizontal movement patterns. Nocturnal migration tends to be more rapid than movement during the day [53], [59]. Swimming depth during the day tends to be quite shallow, within 1–3 m of the ocean surface, and even less (<0.5 m) during the night [65]. Changes in swimming depth and migration speed may be strongly related to temperature and salinity [66], or light conditions [65], the latter perhaps being a strategy related to predator avoidance [67]. Indeed, vertical movement trends may be closely linked to the feeding patterns of avian predators, resulting in movement downward in the water column during daylight hours [67].

Mortality during the juvenile out-migration stage is higher than during other marine life history stages, even when compared to the lengthy adult open-ocean stage [68]. Using acoustic telemetry, mortality of juveniles departing coastal waters has been shown to be very high [50], [58], although recent research has shown that juvenile mortality in the open ocean may be even higher [50]. Estimates of survival for early ocean migrating salmonids have been made for Atlantic salmon [58], [61], [69], [70], Chinook [50], [71], coho [50], [57], chum [72], sockeye [50], [73], steelhead [50], [68], [74][76] and anadromous brown trout [58]. Juvenile survival can be affected by a multitude of factors including predation [77][80], competition [81], parasites [82], [83], inability to osmoregulate [57], [80], [84], pollution [85], marine entry timing [58], [81], [86], [87], adverse ocean conditions (temperature, salinity, oxygen, pH, productivity) [88][90], dams [91], and smolt size [71], [88].

Furthermore, survival rates have been shown to differ between hatchery and wild fish. Survival estimates for wild fish tend to be higher than those for hatchery juveniles [19], [57], [68], [75], [76], [81], [92][95]. In one study, survival of wild steelhead smolts during migration away from inshore waters ranged from 18–39%, while hatchery smolt survival was 3% [76]. Trends such as this suggest a discrepancy in fitness between the two groups, possibly due to differences in physiology [57], behaviour [96], and size [88], [97][99].

Open-ocean

The open-ocean migration of salmon has been studied the least frequently, being the primary focus of only 8.7% (n = 18) of tagging studies. This is likely due to the difficulty of accessing fish within this environment, technological constraints, and associated financial costs. In fact, much of what we know about salmon migration in the open-ocean comes from early research by fisheries capture and the use of external tags. This type of research was performed by international organizations such as the North Atlantic Salmon Conservation Organization (NASCO) (Atlantic salmon), and the North Pacific Anadromous Fish Commission (NPAFC) (Pacific salmon), which provided some of the first scientific insights into the open-ocean behaviour and ecology of anadromous salmon at sea. This early research revealed that salmon populations are often highly mixed at sea. For example, Pacific salmonid stocks from Japan, Russia, Canada, and the United States utilize several of the same marine feeding grounds [100][105].

A small number of recent studies have utilized recovery of data loggers and manual tracking of fish tagged with acoustic transmitters to assess fine scale movements of salmon in the open-ocean. Salmon migrating in the open-ocean tend to swim at speeds of 1 bl s−1 on average [106][108], which is similar to average swim speeds observed in other life stages (see above). Vertical distribution in the water column varies diurnally, seasonally, and by species (e.g. Chinook dive below 50 m whereas most other species remain within the upper 20 m of the water column [107]), as determined by acoustic tracking of tagged individuals [106], [107], [109] and data logger recoveries [110][113]. Vertical migrations are most likely related to maximizing foraging efficiency [112], predator avoidance, and for navigational purposes [114].

There are several factors that are thought to influence salmon survival in the open-ocean, including migration routes, timing, food availability, predator levels, ocean conditions [115][119] and carry-over effects from earlier life stages [120]. However, relatively few tagging studies have estimated survival in the open-ocean and the limited results suggest that survival rates can vary considerably among species and populations, and the causes remain poorly understood. For example, to investigate trends in survival across the Northeast Pacific over a long time scale, a study using CWT data from coho salmon found that ocean survival of northern stocks (northern BC and Alaska) increased from the 1980s to 1990, whereas survival of southern stocks has been declining over the same time period [24]. This inverse-covariablity between northern and southern latitude salmon production has been similarly shown in other salmonid species [121], and is thought to be associated with changing ocean regimes [122], [123]. However, using CWT data, a more recent study found no significant inverse-covariability on interannual timescales between northern and southern stocks of coho salmon [124], which demonstrates our lack of understanding on the processes influencing population dynamics of salmonids in the open-ocean.

Return migration

Although they can travel thousands of kilometres in high seas, most maturing salmon have the ability to navigate back to natal freshwater streams upon reaching maturity. Nevertheless, straying behaviours (e.g. individuals spawning in non-natal waters) are present in several species [22], [125][129] and may represent an important evolutionary survival strategy. Even though some populations in certain watersheds (e.g. the Fraser River) have recently exhibited variable river entry timing [130], upriver spawning migrations by mature adults usually commence within the same week each year [131], [132]. Such predictability certainly facilitates the study of this life stage, which ranked second in our analysis (22.2%; n = 46).

Timing and location of arrival of salmon to the continental shelf from ocean feeding grounds is based on environmental factors in the ocean [56], [133][135] and physiological state of the fish [136], [137]. Swim speed for returning adults has been determined simplistically using manual tracking of individuals [107], [138], and by more sophisticated means using data loggers that directly measure swim speed [139]. Again it emerges that adult salmon are observed to routinely swim at average speeds around 1 bl s−1 [41], [107], [138]. Migration rates and timing are influenced by a range of environmental factors (reviewed in [140]), some of which are tides, currents, salinity levels and temperature [141][147]. As in the open-ocean, vertical position in the water column in coastal areas can vary among species and even within species between relatively short distances on continental shelves. For example, manually tracked sockeye salmon were observed to choose different depths when swimming in well mixed coastal waters versus stratified coastal waters, preferring deeper water when they encountered a stratified water column created by river discharge [138]. Vertical movements may be related to species preferring narrow ranges of temperature [148]. Several species continue to exhibit diel vertical movement patterns during this portion of their life [112], [138], [144], [149], which may be a behaviour used to conserve energy prior to river migration, avoid predators, prepare osmotically for freshwater entry, or aid in navigation [140], [141], [148].

Though only a few studies have focused on aspects of salmonid physiology, the role of physiological state as a key driver of return migration behaviour and survival is highlighted by a series of studies conducted on Fraser River sockeye salmon. Specifically, fish with advanced reproductive preparedness (e.g. elevated plasma concentrations of reproductive hormones, including testosterone, 11-ketotestosterone, and 17β-estradiol) migrated fastest coastally and entered the river earlier [137], [150], [151]. Marine survival was related to physiological stress such that fish with elevated plasma ion glucose and lactate levels perished in coastal waters before entering the river [150], [152], [153]. Survival was also lower in fish that were less physiologically prepared for freshwater entry (i.e. higher plasma chloride and total osmolality [154]). These studies provide examples of how telemetry can be combined with physiological measurements to address research questions.

Knowledge gaps and future directions

Core knowledge

Our review identified several priority areas for research due to inadequate investigation to date. We believe these knowledge gaps constrain the current understanding of salmon in marine environments, and potentially limit the application of contemporary tagging technologies for management and conservation purposes. Below, we discuss each area and give recommendations to address these concerns wherever possible.

Globally, knowledge of the impact of climate change on salmon behaviour and survival in the marine environment is limited. Less than half of tagging studies analyzed in this review attempted to link abiotic factors such as temperature, salinity, oxygen, and productivity to salmon behaviour or survival (except see [13], [155][160]). Major climatic changes have already occurred [55], and shifts in ocean temperatures, salinity, oxygen concentration, pH, and prey abundance are expected to intensify [161], [162], with profound compounding effects on salmonid distribution and survival [5]. Tagging can be a powerful tool to increase our understanding of the impacts of environmental change on salmonids, particularly if studies are long-term and combined with effective environmental monitoring (e.g. through the use of data loggers). Furthermore, experimental studies that manipulate temperature or salinity can be combined with biopsy and telemetry techniques to further contribute to the knowledge base (e.g. [163]).

In addition, certain regions (e.g. Bering Sea, northwest Pacific Ocean, New Zealand), populations (e.g. those from Alaska, Japan/Russia, New Zealand), life stages (e.g. open-ocean, kelts) and species (e.g. pink, masu) are underrepresented in the literature. Most of the research we analyzed examined hatchery fish rather than wild fish, and relatively few tagging studies compared the two (except see [19], [49], [50], [57], [68], [75], [76], [81], [92][95], [164], [165]), despite known differences in behaviour and survival. For example, wild populations commonly display adaptive plasticity in migration timing due to environmental variation and as a means of avoiding interspecies competition [81], while hatchery raised fish are manually released according to a hatchery schedule [92]. Hatchery fish often have lower fitness and subsequent survival in natural environments than wild stocks [92]. This suggests that conclusions from tagging studies using hatchery fish should perhaps not be applied broadly to wild populations. Tagging studies among populations, as well as between hatchery and wild fish, could provide insights into key differences among such groups.

There are also limited data on full life cycle analyses, as very few studies assess more than one life stage at one time, a method that does not account for any cumulative effects throughout the life history. For instance, juvenile growth rates can affect fitness and survival in all remaining life stages, and successful development at sea may have cascading effects on subsequent reproductive maturation and spawning success. Tagging juveniles and assessing the entire life cycle while monitoring abiotic factors may provide powerful insights into which environmental effects have the greatest impact on lifetime fitness. Various technologies exist that could be implemented on a large scale relatively inexpensively, such as external visual tags or PIT tags, however, more expensive acoustic tags or data loggers could provide more detailed information on both biotic and abiotic factors.

Finally, we identified a definite lack of research on salmonid survival and mortality at sea. Although some research has looked at lifetime survival through tagging, these studies were unable to determine exactly where and why mortality occurs. Understanding lifetime survival rates is critical to understanding population viability, yet there is no conclusive data to date to suggest which life stage is associated with the highest mortality. This has made it challenging to relate environmental variables to mortality across life stages. While current technologies cannot yet provide precise estimates of location and cause of mortality, this may change in the near future. For example, to control the problem of limited battery life, acoustic transmitters have now been designed that can ‘turn off’ while salmon are at sea, and then power-up 2–3 years later upon return migration to freshwater where they can be tracked with acoustic arrays [73].

Tagging models, procedures and technologies

A common feature of studies designed to estimate survival from tagged animals in the wild is the potential for imperfect (i.e. <100%) encounter (i.e. detection or recapture of electronic and passive tags, respectively) probabilities. When researchers do not account for encounter probabilities that are <100%, survival estimates will be biased low, and erroneous interpretations of results can occur in cases where encounter probabilities vary among tagged fish belonging to different strata (e.g. sex) or assigned to different experimental treatments [166]. Capture-recapture models for open populations have been developed since the 1960's to deal explicitly with imperfect encounter probabilities in the estimation of survival and other demographic parameters from tagged animals [167]. However, despite the long-standing availability and continued development of capture-recapture models and specialized computer software for their implementation, only 20.9% (n = 23 out of 110) of the studies where capture-recapture models were applicable have accounted for imperfect encounter probabilities in the estimation of survival for anadromous salmonids. Indeed, in general there seems to be little appreciation and use of capture-recapture models in fisheries research [168]. Encounter probabilities have been measured for multiple species of salmon smolts using the Pacific Ocean Shelf Tracking (POST) array in coastal waters (reviewed in [50]).

A related class of models allows researchers to estimate survival from tag recoveries of harvested animals [169] or from both live encounters and tag recoveries [170]. Tag recovery, whether by commercial fisheries or by other means, was used in 63.5% (n = 129) of studies reporting how tag data were retrieved. The use of models based on tag-recovery data to estimate survival could be applied to these studies. An interesting application of models based on tag recovery is the possibility to separate fishing from natural mortality if an estimate of tag reporting probability is available [168]. Several experiments have been proposed to estimate the probability that tags are reported. For example, reporting probability can be estimated as the recovery of standard (i.e. no- or low-reward) tags relative to high-reward tags (assuming these are 100% reported if encountered) [171]; or by planting tags into fisheries catches and calculating the ratio between planted tags reported and the known number of tags that were planted [172].

Both capture-recapture and tag-recovery models are based on the assumption that tags are not lost or shed and, in the case of electronic tags, that they do not fail. If this assumption is violated, survival will be underestimated [167]. However, tag loss/shed was measured in only 7.7% (n = 16) of studies and was not even acknowledged in 69.0% (n = 143) of studies where it could possibly have occurred. Double-tagging individuals could minimize the impacts of tag loss/shed on survival estimates [173], an approach that was employed in 28.5% (n = 59) of the studies. Assuming that loss/shed of the two tags are independent, information on the number of fish recaptured with one or both tags could be used to estimate the probability of tag loss/shed and then used to adjust survival estimates [173]. Alternatively, multistate capture-recapture models could be used to jointly estimate survival and tag/shed loss [174]. When looking exclusively at studies using electronic tags (n = 69), 11.6% (n = 8) measured tag failure. These measures are important as they allow researchers to construct time to failure curves for the electronic tags. This information, along with fish detection times, can be incorporated into the likelihood function of a capture-recapture model to account for tag failure into estimates of survival [175], [176]. A similar approach could also be used to account for the loss/shed of passive tags into survival estimates [175].

Another important assumption of capture-recapture and tag-recovery models is that tagging does not affect survival; otherwise survival estimates will be biased low [167]. Capture methods [177], tag types [178], tagging methods (e.g. external attachment, surgical application, gastric insertion, injection) [179], [180], the use of anesthetics, handling time, tag size and release technique (e.g. recovery period) can all impact survival of the tagged fish. Capture-recapture models can be modified to account for short-term tagging effects on survival of newly tagged individuals [169]. In fact, tagging effects are not only issues in studies of survival but also of movement and behaviour [179], [181]. However, only 10.6% (n = 22) of studies assessed tagging/handling effects, and an acknowledgment of potential tagging/handling effects was made in only 33.8% (n = 70) of studies. Tag size is a major limitation in salmon research, especially in studies of juvenile fish [182], and very few of the studies we reviewed assessed survival costs or tag burdens on juveniles (except see [57], [76], [180], [183][186]). While there have been a number of studies performed under laboratory settings to assess tag effects to supplement field studies or to model tag limits for certain species [63], [180], [187][189], few studies conducted these trials under field conditions (except see [50], [188], [190]).

Remarkable advancements have been made in the field of fish tagging throughout the last few decades. Movement towards electronic rather than passive tags has enabled researchers to more thoroughly investigate the movement and survival patterns of individual salmonids in the marine environment. Nevertheless, the historic (and ongoing) studies that utilized passive tags (primarily CWT, and/or adipose fin clip) remain some of the most enlightening due to their large sample sizes across multiple years (cost effectively), and their applicability to very small juveniles. Clearly, this is an area where current electronic tagging technologies require further advancement to minimize costs, decrease tag sizes, and thus allow long-term studies to be conducted with an aim to more comprehensively examine the interannual variability in salmonid biology.

Indeed, some manufacturers have concentrated on miniaturizing electronic tags such that they are of use in very small fish, such as the recently developed JSAT tags [182]. At present, many of these miniaturized tags emit an acoustic or radio signal such that the fish can be detected when they swim within range of particular receivers. Owing to these tags, an excellent database is accumulating regarding the early marine phase of the lifecycle of salmon smolts, including aspects of behaviour and survival [50], [57], [68], [72], [73], [75], [76]. A limitation of these studies is that fish must be presumed dead if they are not detected on subsequent receivers following their detection on a prior receiver. This results in areas between receivers where many fish may have disappeared for reasons that cannot be ascertained with current technologies and infrastructure.

Though not frequently used yet, multi-sensor tags are one future development that holds considerable promise as they allow detailed insight into the behaviour (e.g. acceleration, tail beat frequency, dive patterns) and physiology (e.g. heart rate, blood oxygen status) of individual fish in the natural environment [35][39], [41]. While many adult salmon can accommodate certain multi-sensor tags, miniaturization of the tags to the point where they can be used in smolts is some distance into the future. Multi-sensor tags are typically archival due to the inherent difficulties of transmitting data from multiple sensors to a receiver during the transient period when the fish is in range. This limitation is guiding engineering research to develop archival tags that transmit stored data intermittently to receivers whenever the fish is in range. The transmission will continue where it left off once the fish is in range of a subsequent receiver. An exciting prospect is that other animals may ultimately act as ‘receivers’. That is, large animals (e.g. sharks, whales) that are capable of carrying a PSAT, for example, could receive data from nearby smaller animals (e.g. juvenile and adult salmon) and transmit the data both from themselves and from the smaller animals to satellite receivers. Termed ‘business card’ tags, these technologies promise exciting avenues for salmon research in the future [191].

Conclusions

Tagging and telemetry are tools that have the potential to integrate research and researchers across disciplines to advance our knowledge of salmonid behaviour, physiology and survival. By combining passive and newly emerging electronic and biological tagging approaches, incorporating environmental, physiological and behavioural observations into tagging studies, and utilizing broad-scale telemetry arrays and curtains (e.g. Pacific Ocean Shelf Tracking Project – POST, Ocean Tracking Network – OTN, Tagging of Pelagic Predators – TOPP), multi-life stage and multi-trophic level investigations are within reach (see [192]). Finally, international collaboration, as is occurring in projects such as OTN and TOPP, will greatly benefit salmonid research in the marine environment.

Supporting Information

Appendix S1

Boolean search terms used in Web of Science and Aquatic Science and Fisheries Abstracts academic search engines to locate peer-reviewed literature.

(DOC)

Appendix S2

References for peer-reviewed articles that were incorporated into descriptive review (i.e. numerical results).

(DOC)

Acknowledgments

This work is a contribution to the Census of Marine Life. We thank the Pacific Ocean Shelf Tracking (POST) Project and all members of the Pacific Salmon Ecology and Conservation Laboratory of the University of British Columbia for their assistance.

Footnotes

Competing Interests: The authors have declared that no competing interests exist.

Funding: Funded by Pacific Ocean Shelf Tracking Project (http://www.postprogram.org/) and their partners, The Census of Marine Life, the Gordon and Betty Moore Foundation, and the Vancouver Aquarium Marine Science Centre. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Augerot X, Smith CL. Comparative resilience in five north Pacific regional salmon fisheries. Ecol Soc. 2010;12:3. [Google Scholar]
  • 2.Gende SM, Quinn TP, Willson MF, Heintz R, Scott TM. Magnitude and fate of salmon-derived nutrients and energy in a coastal stream ecosystem. J Freshwat Ecol. 2004;19:149–160. [Google Scholar]
  • 3.Quinn TP. The Behavior and ecology of Pacific salmon & trout. Seattle: University of Washington Press; 2005. [Google Scholar]
  • 4.Beamish RJ, Mahnken C, Neville CM. Hatchery and wild production of Pacific salmon in relation to large-scale, natural shifts in the productivity of the marine environment. ICES J Mar Sci. 1997;54:1200–1215. [Google Scholar]
  • 5.Crozier LG, Hendry AP, Lawson PW, Quinn TP, Mantua NJ, et al. Potential responses to climate change in organisms with complex life histories: evolution and plasticity in Pacific salmon. Evol Appl. 2008;1:252–270. doi: 10.1111/j.1752-4571.2008.00033.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bryant MD. Global climate change and potential effects on Pacific salmonids in freshwater ecosystems of southeast Alaska. Clim Change. 2009;95:169–193. [Google Scholar]
  • 7.Parrish DL, Behnke RJ, Gephard SR, McCormick SD, Reeves GH. Why aren't there more Atlantic salmon (Salmo salar)? Can J Fish Aquat Sci. 1998;55:281–287. [Google Scholar]
  • 8.Lichatowich J. Salmon without rivers: a history of the Pacific salmon crisis. New York: Island Press; 1999. [Google Scholar]
  • 9.Fleming IA, Jensen AJ. Fisheries: effect of climate change on the life cycles of salmon. In: Munn T, editor. Encyclopedia of global environmental change. Chichester: John Wiley & Sons; 2002. pp. 309–312. [Google Scholar]
  • 10.Boisclair D. The status of Atlantic salmon (Salmo salar): populations and habitats. Can J Fish Aquat Sci. 2004;61:2267–2270. [Google Scholar]
  • 11.Nehlsen W, Williams JE, Lichatowich JA. Pacific salmon at the crossroads - stocks at risk from California, Oregon, Idaho, and Washington. Fisheries. 1991;16:4–21. [Google Scholar]
  • 12.Ward BR. Declivity in steelhead (Oncorhynchus mykiss) recruitment at the Keogh River over the past decade. Can J Fish Aquat Sci. 2000;57:298–306. [Google Scholar]
  • 13.Welch DW, Ward BR, Smith BD, Eveson JP. Temporal and spatial responses of British Columbia steelhead (Oncorhynchus mykiss) populations to ocean climate shifts. Fish Oceanogr. 2000;9:17–32. [Google Scholar]
  • 14.Quinn TP, Dickerson BR, Vollestad LA. Marine survival and distribution patterns of two Puget Sound hatchery populations of coho (Oncorhynchus kisutch) and Chinook (Oncorhynchus tshawytscha) salmon. Fish Res. 2005;76:209–220. [Google Scholar]
  • 15.Lackey RT, Lach DH, Duncan SL. Policy options to reverse the decline of wild Pacific salmon. Fisheries. 2006;31:344–351. [Google Scholar]
  • 16.Irvine JR, Gross MR, Wood CC, Holtby LB, Schubert ND, et al. Canada's species at risk act: an opportunity to protect “endangered” salmon. Fisheries. 2005;30:11–19. [Google Scholar]
  • 17.Committee on the Status of Endangered Wildlife in Canada (COSEWIC) COSEWIC assessment and status report on the sockeye salmon Oncorhynchus nerka (Cultus population) in Canada. 2003. Available: http://sararegistry.gc.ca/. Accessed 2010, August 4.
  • 18.ICES. Report of the Baltic salmon and trout assessment working group. Brugge, Belguim: ICES CM 2000/ACFM: 12; 2000. [Google Scholar]
  • 19.Unwin MJ. Fry-to-adult survival of natural and hatchery-produced Chinook salmon (Oncorhynchus tshawytscha) from a common origin. Can J Fish Aquat Sci. 1997;54:1246–1254. [Google Scholar]
  • 20.Sweeting RM, Beamish RJ, Noakes DJ, Neville CM. Replacement of wild coho salmon by hatchery-reared coho salmon in the Strait of Georgia over the past three decades. N Am J Fish Manage. 2003;23:492–502. [Google Scholar]
  • 21.Kallio-Nyberg I, Koljonen ML. The genetic consequence of hatchery-rearing on life-history traits of the Atlantic salmon (Salmo salar L): a comparative analysis of sea-ranched salmon with wild and reared parents. Aquaculture. 1997;153:207–224. [Google Scholar]
  • 22.Pedersen S, Rasmussen G, Nielsen EE, Karlsson L, Nyberg P. Straying of Atlantic salmon, Salmo salar, from delayed and coastal releases in the Baltic Sea, with special focus on the Swedish west coast. Fish Manage Ecol. 2007;14:21–32. [Google Scholar]
  • 23.Peterman RM, Pyper BJ, Lapointe MF, Adkison MD, Walters CJ. Patterns of covariation in survival rates of British Columbian and Alaskan sockeye salmon (Oncorhynchus nerka) stocks. Can J Fish Aquat Sci. 1998;55:2503–2517. [Google Scholar]
  • 24.Coronado C, Hilborn R. Spatial and temporal factors affecting survival in coho salmon (Oncorhynchus kisutch) in the Pacific Northwest. Can J Fish Aquat Sci. 1998;55:2067–2077. [Google Scholar]
  • 25.Chaput G, Prevost E. Annual and decadal change in Atlantic salmon (Salmo salar) abundance in eastern Canada. DFO CSAS Res Doc 1999/30 1999 [Google Scholar]
  • 26.ICES. Report of the working group on Baltic salmon and trout (WGBAST) Helsinki, Finland: ICES CM 2005/ACFM; 2005. 18 [Google Scholar]
  • 27.Bradford MJ. Comparative review of Pacific salmon survival rates. Can J Fish Aquat Sci. 1995;52:1327–1338. [Google Scholar]
  • 28.Friedland KD. Ocean climate influences on critical Atlantic salmon (Salmo salar) life history events. Can J Fish Aquat Sci. 1998;55:119–130. [Google Scholar]
  • 29.Ruggerone GT, Nielsen JL. Evidence for competitive dominance of pink salmon (Oncorhynchus gorbuscha) over other salmonids in the North Pacific Ocean. Rev Fish Biol Fish. 2004;14:371–390. [Google Scholar]
  • 30.Pearcy WG. Ocean ecology of North Pacific salmonids. Seattle: University of Washington Press; 1992. [Google Scholar]
  • 31.Groot C, Margolis L. Pacific salmon life histories. Vancouver: UBC Press; 1991. [Google Scholar]
  • 32.Verspoor E, Stradmeyer L, Nielsen JL. The Atlantic salmon: genetics, conservation and management. Oxford: Blackwell Publishing Ltd; 2007. [Google Scholar]
  • 33.Mills D. The ocean life of Atlantic salmon: environmental and biological factors. Bodmin: Fishing news books; 1999. [Google Scholar]
  • 34.Cooke SJ, Hinch SG, Lutcavage M, Lucas MC. Biotelemetry and biologging. In: Zale A, Sutton T, editors. Fisheries techniques. 3rd ed. Bethesda: American Fisheries Society; In Press. [Google Scholar]
  • 35.Block BA. Physiologic ecology in the 21st century: advancements in biologging science. Integr Comp Biol. 2005;45:305–320. doi: 10.1093/icb/45.2.305. [DOI] [PubMed] [Google Scholar]
  • 36.Block BA, Dewar H, Farwell C, Prince ED. A new satellite technology for tracking the movements of Atlantic bluefin tuna. Proc Natl Acad Sci USA. 1998;95:9384–9389. doi: 10.1073/pnas.95.16.9384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Clark TD, Sandblom E, Hinch SG, Patterson DA, Frappell PB, et al. Simultaneous biologging of hear rate and acceleration, and their relationships with energy expenditure in free-swimming sockeye salmon (Oncorhynchus nerka). J Comp Physiol B. 2010;180:673–684. doi: 10.1007/s00360-009-0442-5. [DOI] [PubMed] [Google Scholar]
  • 38.Clark TD, Taylor BD, Seymour RS, Ellis D, Buchanan J, et al. Moving with the beat: heart rate and visceral temperature of free-swimming and feeding bluefin tuna. Proc R Soc Lond, Ser B: Biol Sci. 2008;275:2841–2850. doi: 10.1098/rspb.2008.0743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kawabe R, Kawano T, Nakano N, Yamashita N, Hiraishi T, et al. Simultaneous measurement of swimming speed and tail beat activity of free-swimming rainbow trout Oncorhynchus mykiss using an acceleration data-logger. Fish Sci. 2003;69:959–969. [Google Scholar]
  • 40.Cooke SJ, Thorstad EB, Hinch SG. Activity and energetics of free-swimming fish: insights from electromyogram telemetry. Fish Fish. 2004;5:21–52. [Google Scholar]
  • 41.Tanaka H, Takagi Y, Naito Y. Swimming speeds and buoyancy compensation of migrating adult chum salmon Oncorhynchus keta revealed by speed/depth/acceleration data logger. J Exp Biol. 2001;204:3895–3904. doi: 10.1242/jeb.204.22.3895. [DOI] [PubMed] [Google Scholar]
  • 42.Campana SE, Gagne JA, McLaren JW. Elemental fingerprinting of fish otoliths using Id-Icpms. Mar Ecol-Prog Ser. 1995;122:115–120. [Google Scholar]
  • 43.Bakke TA, Harris PD. Diseases and parasites in wild Atlantic salmon (Salmo salar) populations. Can J Fish Aquat Sci. 1998;55:247–266. [Google Scholar]
  • 44.MacKenzie K. Parasites as biological tags in population studies of marine organisms: an update. Parasitology. 2002;124:S153–S163. doi: 10.1017/s0031182002001518. [DOI] [PubMed] [Google Scholar]
  • 45.Belding DL. Migration of the Atlantic salmon (Salmo salar) in the Gulf of St. Lawrence as determined by tagging experiments. Trans Am Fish Soc. 1940;69:290–295. [Google Scholar]
  • 46.IPCC. Climate change 2007: synthesis report. Contribution of working groups I,II, and III to the fourth assessment report of the intergovernmental panel on climate change. Cambridge: Cambridge University Press; 2007. [Google Scholar]
  • 47.Regional Mark Processing Center (RMPC). Available: http://www.rmpc.org/. Accessed: 2012, January 12.
  • 48.Hedger RD, Hatin D, Dodson JJ, Martin F, Fournier D, et al. Migration and swimming depth of Atlantic salmon kelts Salmo salar in coastal zone and marine habitats. Mar Ecol Prog Ser. 2009;392:179–192. [Google Scholar]
  • 49.Melnychuk MC, Welch DW, Walters CJ. Spatio-temporal migration patterns of Pacific salmon smolts in rivers and coastal marine waters. PloS ONE. 2010;5(9):e12916. doi: 10.1371/journal.pone.0012916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Welch DW, Melnychuk MC, Payne JC, Rechisky EL, Porter AD, et al. In situ measurement of coastal ocean movements and survival of juvenile Pacific salmon. Proc Nat Acad Sci USA. 2011;108:8708–8713. doi: 10.1073/pnas.1014044108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Lacroix GL, Knox D, Stokesbury MJW. Survival and behaviour of post-smolt Atlantic salmon in coastal habitat with extreme tides. J Fish Biol. 2005;66:485–498. [Google Scholar]
  • 52.Lacroix GL, McCurdy P. Migratory behaviour of post-smolt Atlantic salmon during initial stages of seaward migration. J Fish Biol. 1996;49:1086–1101. [Google Scholar]
  • 53.Martin F, Hedger RD, Dodson JJ, Fernandes L, Hatin D, et al. Behavioural transition during the estuarine migration of wild Atlantic salmon (Salmo salar L.) smolt. Ecol Freshwat Fish. 2009;18:406–417. [Google Scholar]
  • 54.Thorstad EB, Okland F, Finstad B, Sivertsgard R, Bjorn PA, et al. Migration speeds and orientation of Atlantic salmon and sea trout post-smolts in a Norwegian fjord system. Environ Biol Fishes. 2004;71:305–311. [Google Scholar]
  • 55.Bond MH, Hayes SA, Hanson CV, MacFarlane RB. Marine survival of steelhead (Oncorhynchus mykiss) enhanced by a seasonally closed estuary. Can J Fish Aquat Sci. 2008;65:2242–2252. [Google Scholar]
  • 56.Healey MC, Groot C. Marine migration and orientation of ocean-type Chinook and sockeye salmon. Am Fish Soc Symp. 1987;1:298–312. [Google Scholar]
  • 57.Chittenden CM, Sura S, Butterworth KG, Cubitt KF, Manel-La NP, et al. Riverine, estuarine and marine migratory behaviour and physiology of wild and hatchery-reared coho salmon Oncorhynchus kisutch (Walbaum) smolts descending the Campbell River, BC, Canada. J Fish Biol. 2008;72:614–628. [Google Scholar]
  • 58.Thorstad EB, Okland F, Finstad B, Sivertsgard R, Plantalech N, et al. Fjord migration and survival of wild and hatchery-reared Atlantic salmon and wild brown trout post-smolts. Hydrobiologia. 2007;582:99–107. [Google Scholar]
  • 59.Aprahamian MW, Jones GO. The seaward movement of Atlantic salmon smolts in the Usk estuary, Wales, as inferred from power station catches. J Fish Biol. 1997;50:442–444. [Google Scholar]
  • 60.Chamberlin JW, Kagley AN, Fresh KL, Quinn TP. Movements of yearling Chinook salmon during the first summer in marine waters of Hood Canal, Washington. Trans Am Fish Soc. 2011;140:429–439. [Google Scholar]
  • 61.Lacroix GL, McCurdy P, Knox D. Migration of Atlantic salmon postsmolts in relation to habitat use in a coastal system. Trans Am Fish Soc. 2004;133:1455–1471. [Google Scholar]
  • 62.Moore A, Ives S, Mead TA, Talks L. The migratory behaviour of wild Atlantic salmon (Salmo salar L.) smolts in the River Test and Southampton Water, southern England. Hydrobiologia. 1998;371–372:295–304. [Google Scholar]
  • 63.Finstad B, Okland F, Thorstad EB, Bjorn PA, McKinley RS. Migration of hatchery-reared Atlantic salmon and wild anadromous brown trout post-smolts in a Norwegian fjord system. J Fish Biol. 2005;66:86–96. [Google Scholar]
  • 64.Brett JR. Energetics. In: Groot C, Margolis L, Clarke WC, editors. Physiological ecology of Pacific salmon. Vancouver: University of British Columbia Press; 1995. pp. 1–68. [Google Scholar]
  • 65.Davidsen JG, Manel-la NP, Okland F, Diserud OH, Thorstad EB, et al. Changes in swimming depths of Atlantic salmon Salmo salar post-smolts relative to light intensity. J Fish Biol. 2008;73:1065–1074. [Google Scholar]
  • 66.Manel-La NP, Thorstad EB, Davidsen JG, Okland F, Sivertsgard R, et al. Vertical movements of Atlantic salmon post-smolts relative to measures of salinity and water temperature during the first phase of the marine migration. Fisheries Manag Ecol. 2009;16:147–154. [Google Scholar]
  • 67.Reddin DG, Downton P, Friedland KD. Diurnal and nocturnal temperatures for Atlantic salmon postsmolts (Salmo salar L.) during their early marine life. Fish Bull. 2006;104:415–427. [Google Scholar]
  • 68.Moore ME, Berejikian BA, Tezak EP. Early Marine survival and behavior of steelhead trout (Oncorhynchus mykiss) smolts through Hood Canal and the Strait of Juan de Fuca. Trans Am Fish Soc. 2010;139 [Google Scholar]
  • 69.Thorstad EB, Uglem I, Arechavala-Lopez P, Okland F, Finstad B. Low survival of hatchery-released Atlantic salmon smolts during initial river and fjord migration. Boreal Environ Res. 2011;16:115–120. [Google Scholar]
  • 70.Dempson JB, Robertson MJ, Pennell CJ, Furey G, Bloom M, et al. Residency time, migration route and survival of Atlantic salmon Salmo salar smolts in a Canadian fjord. J Fish Biol. 2011;78:1976–1992. doi: 10.1111/j.1095-8649.2011.02971.x. [DOI] [PubMed] [Google Scholar]
  • 71.Duffy EJ, Beauchamp DA. Rapid growth in the early marine period improves the marine survival of Chinook salmon (Oncorhynchus tshawytscha) in Puget Sound, Washington. Can J Fish Aquat Sci. 2011;68:232–240. [Google Scholar]
  • 72.Fukuwaka M, Suzuki T. Early sea mortality of mark-recaptured juvenile chum salmon in open coastal waters. J Fish Biol. 2002;60:3–12. [Google Scholar]
  • 73.Welch DW, Melnychuk MC, Rechisky ER, Porter AD, Jacobs MC, et al. Freshwater and marine migration and survival of endangered Cultus Lake sockeye salmon (Oncorhynchus nerka) smolts using POST, a large-scale acoustic telemetry array. Can J Fish Aquat Sci. 2009;66:736–750. [Google Scholar]
  • 74.Balfry S, Welch DW, Atkinson J, Lill A, Vincent S. The effect of hatchery release strategy on marine migratory behaviour and apparent survival of Seymour River steelhead smolts (Oncorhynchus mykiss). PloS ONE. 2011;6(3):e14779. doi: 10.1371/journal.pone.0014779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Welch DW, Ward BR, Batten SD. Early ocean survival and marine movements of hatchery and wild steelhead trout (Oncorhynchus mykiss) determined by an acoustic array: Queen Charlotte Strait, British Columbia. Deep Sea Res Part II. 2004;51:897–909. [Google Scholar]
  • 76.Melnychuk MC. Estimation of survival and detection probabilities for multiple tagged salmon stocks with nested migration routes, using a large-scale telemetry array. Mar Freshwater Res. 2009;60:1231–1243. [Google Scholar]
  • 77.Dieperink C, Bak BD, Pedersen LF, Pedersen MI, Pedersen S. Predation on Atlantic salmon and sea trout during their first days as postsmolts. J Fish Biol. 2002;61:848–852. [Google Scholar]
  • 78.Collis K, Roby DD, Craig DP, Ryan BA, Ledgerwood RD. Colonial waterbird predation on juvenile salmonids tagged with passive integrated transponders in the Columbia river estuary: vulnerability of different salmonid species, stocks, and rearing types. Trans Am Fish Soc. 2001;130:385–396. [Google Scholar]
  • 79.Hvidsten NA, Mokkelgjerd PI. Predation on salmon smolts, Salmo salar L, in the estuary of the River Surna, Norway. J Fish Biol. 1987;30:273–280. [Google Scholar]
  • 80.Kennedy BM, Gale WL, Ostrand KG. Relationship between smolt gill Na+, K+ ATPase activity and migration timing to avian predation risk of steelhead trout (Oncorhynchus mykiss) in a large estuary. Can J Fish Aquat Sci. 2007;64:1506–1516. [Google Scholar]
  • 81.Beamish RJ, Sweeting RM, Lange KL, Neville CM. Changes in the population ecology of hatchery and wild coho salmon in the Strait of Georgia. Trans Am Fish Soc. 2008;137:503–520. [Google Scholar]
  • 82.Sivertsgard R, Thorstad EB, Okland F, Finstad B, Bjorn PA, et al. Effects of salmon lice infection and salmon lice protection on fjord migrating Atlantic salmon and brown trout post-smolts. Hydrobiologia. 2007;582:35–42. [Google Scholar]
  • 83.Hvidsten NA, Finstad B, Kroglund F, Johnsen BO, Strand R, et al. Does increased abundance of sea lice influence survival of wild Atlantic salmon post-smolt? J Fish Biol. 2007;71:1639–1648. [Google Scholar]
  • 84.Fuss HJ, Hopley CW. Gill Na+,K+-ATPase activity of hatchery chum salmon fry during freshwater rearing and acclimation to brackish water and its relationship to marine survival. N Am J Aquacult. 2003;65:134–140. [Google Scholar]
  • 85.Heintz RA, Rice SD, Wertheimer AC, Bradshaw RF, Thrower FP, et al. Delayed effects on growth and marine survival of pink salmon Oncorhynchus gorbuscha after exposure to crude oil during embryonic development. Mar Ecol Prog Ser. 2000;208:205–216. [Google Scholar]
  • 86.Staurnes M, Lysfjord G, Hansen LP, Heggberget TG. Recapture rates of hatchery-reared Atlantic salmon (Salmo salar) related to smolt development and time of release. Aquaculture. 1993;118:327–337. [Google Scholar]
  • 87.Zabel RW, Williams JG. Selective mortality in Chinook salmon: What is the role of human disturbance? Ecol Appl. 2002;12:173–183. [Google Scholar]
  • 88.Farmer GJ. Some factors which influence the survival of hatchery Atlantic salmon (Salmo salar) smolts utilized for enhancement purposes. Aquaculture. 1994;121:223–233. [Google Scholar]
  • 89.Lyse AA, Stefansson SO, Ferno A. Behaviour and diet of sea trout post-smolts in a Norwegian fjord system. J Fish Biol. 1998;52:923–936. [Google Scholar]
  • 90.Serrano I, Rivinoja P, Karlsson L, Larsson S. Riverine and early marine survival of stocked salmon smolts, Salmo salar L., descending the Testebo River, Sweden. Fish Manage Ecol. 2009;16:386–394. [Google Scholar]
  • 91.Welch DW, Rechisky EL, Melnychuk MC, Porter AD, Walters CJ, et al. Survival of migrating salmon smolts in large rivers with and without dams. PLoS Biol. 2008;6(10):e265. doi: 10.1371/journal.pbio.0060265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Chittenden CM, Jensen JLA, Ewart D, Anderson S, Balfry S, et al. Recent salmon declines: a result of lost feeding opportunities due to bad timing? PloS ONE. 2010;5(8):e12423. doi: 10.1371/journal.pone.0012423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Buchanan RA, Skalski JR, Giorgi AE. Evaluating surrogacy of hatchery releases for the performance of wild yearling Chinook salmon from the Snake River basin. N Am J Fish Manage. 2010;30:1258–1269. [Google Scholar]
  • 94.Kallio-Nyberg I, Jutila E, Saloniemi I, Jokikokko E. Association between environmental factors, smolt size and the survival of wild and reared Atlantic salmon from the Simojoki River in the Baltic Sea. J Fish Biol. 2004;65:122–134. [Google Scholar]
  • 95.Siira A, Suuronen P, Kreivi P, Erkinaro J. Size of wild and hatchery-reared Atlantic salmon populations in the northern Baltic Sea estimated by a stratified mark-recapture method. ICES J Mar Sci. 2006;63:1477–1487. [Google Scholar]
  • 96.Hvidsten NA, Johnsen BO. Increased recapture rate of adult Atlantic salmon released as smolts into large shoals of wild smolts in the River Orkla, Norway. N Am J Fish Manage. 1993;13:272–276. [Google Scholar]
  • 97.Heggberget TG, Johnsen BO, Hindar K, Jonsson B, Hansen LP, et al. Interactions between wild and cultured Atlantic salmon - a review of the Norwegian experience. Fish Res. 1993;18:123–146. [Google Scholar]
  • 98.Kallio-Nyberg I, Saloniemi I, Koljonen ML. Effects of parental and smolt traits on the marine survival of released Atlantic salmon (Salmo salar). Aquaculture. 2007;272:254–266. [Google Scholar]
  • 99.Jutila E, Jokikokko E, Kallio-Nyberg I, Saloniemi I, Pasanen P. Differences in sea migration between wild and reared Atlantic salmon (Salmo salar L.) in the Baltic Sea. Fish Res. 2003;60:333–343. [Google Scholar]
  • 100.Burgner RL, Light JT, Margolis L, Okazaki T, Tautz A, et al. Distribution and origins of steelhead torut (Oncorhynchus mykiss) in offshore waters of the North Pacific Ocean. Int N Pac Fish Comm Bull. 1992;51 [Google Scholar]
  • 101.French R, Bilton H, Osako M, Hartt A. Distribution and origin of sockeye salmon (Oncorhynchus nerka) in offshore waters of the North Pacific Ocean. Int N Pac Fish Comm Bull. 1976;34 [Google Scholar]
  • 102.Godfrey H, Henry KA, Machidori S. Distribution and abundance of coho salmon in offshore waters of the North Pacific Ocean. Int N Pac Fish Comm Bull. 1975;31 [Google Scholar]
  • 103.Major RL, Ito J, Ito S, Godfrey H. Distribution and origin of Chinook salmon (Oncorhynchus tshawytscha) in offshore waters of the North Pacific Ocean. Int N Pac Fish Comm Bull. 1978;38 [Google Scholar]
  • 104.Neave F, Yonemori T, Bakkala RG. Distribution and origin of chum salmon in offshre waters of the North Pacific Ocean. Int N Pac Fish Comm Bull. 1976;35 [Google Scholar]
  • 105.Takagi Y, Aro KV, Hartt AC, Dell MB. Distribution and origin of pink salmon (Oncorhynchus gorbuscha) in offshore waters of the North Pacific Ocean. Int N Pac Fish Comm Bull. 1981;40 [Google Scholar]
  • 106.Ogura M, Ishida Y. Swimming behavior of coho salmon, Oncorhynchus kisutch, in the open sea as determined by ultrasonic telemetry. Can J Fish Aquat Sci. 1992;49:453–457. [Google Scholar]
  • 107.Ogura M, Ishida Y. Homing behavior and vertical movements of four species of Pacific salmon (Oncorhynchus spp) in the Central Bering Sea. Can J Fish Aquat Sci. 1995;52:532–540. [Google Scholar]
  • 108.Quinn TP, Graynoth E, Wood CC, Foote CJ. Genotypic and phenotypic divergence of sockeye salmon in New Zealand from their ancestral British Columbia populations. Trans Am Fish Soc. 1998;127:517–534. [Google Scholar]
  • 109.Ogura M. Rapid dives and ascents of sockeye salmon Oncorhynchus nerka observed by ultrasonic telemetry in the open sea. Fish Sci. 1999;65:659–660. [Google Scholar]
  • 110.Friedland KD, Walker RV, Davis ND, Myers KW, Boehlert GW, et al. Open-ocean orientation and return migration routes of chum salmon based on temperature data from data storage tags. Mar Ecol Prog Ser. 2001;216:235–252. [Google Scholar]
  • 111.Azumaya T, Ishida Y. Mechanism of body cavity temperature regulation of chum salmon (Oncorhynchus keta) during homing migration in the North Pacific Ocean. Fish Oceanogr. 2005;14:81–96. [Google Scholar]
  • 112.Ishida Y, Yano A, Ban M, Ogura M. Vertical movement of a chum salmon Oncorhynchus keta in the western North Pacific Ocean as determined by a depth-recording archival tag. Fish Sci. 2001;67:1030–1035. [Google Scholar]
  • 113.Walker RV, Myers KW, Davis ND, Aydin KY, Friedland KD, et al. Diurnal variation in thermal environment experienced by salmonids in the North Pacific as indicated by data storage tags. Fish Oceanogr. 2000;9:171–186. [Google Scholar]
  • 114.Quinn TP. Models of Pacific salmon orientation and navigation on the open ocean. J Theor Biol. 1991;150:539–545. [Google Scholar]
  • 115.Salminen M, Kuikka S. Annual variability in survival of sea-ranched Baltic salmon, Salmo salar L.: significance of smolt size and marine conditions. Fish Manage Ecol. 1995;2:171–184. [Google Scholar]
  • 116.Kallio-Nyberg I, Peltonen H, Rita H. Effects of stock-specific and environmental factors on the feeding migration of Atlantic salmon (Salmo salar) in the Baltic Sea. Can J Fish Aquat Sci. 1999;56:853–861. [Google Scholar]
  • 117.Friedland KD, Hansen LP, Dunkley DA, MacLean JC. Linkage between ocean climate, post-smolt growth, and survival of Atlantic salmon (Salmo salar L.) in the North Sea area. ICES J Mar Sci. 2000;57:419–429. [Google Scholar]
  • 118.Chittenden CM, Beamish RJ, McKinley RS. A critical review of Pacific salmon marine research relating to climate. ICES J Mar Sci. 2009;66:2195–2204. [Google Scholar]
  • 119.Hinch SG, Healey MC, Diewert RE, Thomson KA, Hourston R, et al. Potential effects of climate change on marine growth and survival of Fraser River sockeye salmon. Can J Fish Aquat Sci. 1995;52:2651–2659. [Google Scholar]
  • 120.Rechisky EL, Welch DW, Porter AD, Jacobs MC, Ladouceur A. Experimental measurement of hydrosystem-induced delayed mortality in juvenile Snake River spring Chinook salmon (Oncorhynchus tshawytscha) using a large-scale acoustic array. Can J Fish Aquat Sci. 2009;66:1019–1024. [Google Scholar]
  • 121.Mueter FJ, Peterman RM, Pyper BJ. Opposite effects of ocean temperature on survival rates of 120 stocks of Pacific salmon (Oncorhynchus spp.) in northern and southern areas. Can J Fish Aquat Sci. 2002;59:456–463. [Google Scholar]
  • 122.Mantua NJ, Hare SR. The Pacific Decadal Oscillation. J Oceanogr. 2002;58:35–44. [Google Scholar]
  • 123.Mantua NJ, Hare SR, Zhang Y, Wallace JM, Francis RC. A Pacific Interdecadal Climate Oscillation with impacts on salmon production. B Am Meteorol Soc. 1997;78:1069–1079. [Google Scholar]
  • 124.Teo SLH, Botsford LW, Hastings A. Spatio-temporal covariability in coho salmon (Oncorhynchus kisutch) survival, from California to southeast Alaska. Deep Sea Res Part II. 2009;56:2570–2578. [Google Scholar]
  • 125.Candy JR, Beacham TD. Patterns of homing and straying in southern British Columbia coded-wire tagged Chinook salmon (Oncorhynchus tshawytscha) populations. Fish Res. 2000;47:41–56. [Google Scholar]
  • 126.Eriksson T, Eriksson LO. Spawning migratory behavior of coastal-released Baltic salmon (Salmo salar) - effects on straying frequency and time of river ascent. Aquaculture. 1991;98:79–87. [Google Scholar]
  • 127.Labelle M. Straying patterns of coho salmon (Oncorhynchus kisutch) stocks from southeast Vancouver Island, British Columbia. Can J Fish Aquat Sci. 1992;49:1843–1855. [Google Scholar]
  • 128.Larsson PO. Remote straying of salmon (Salmo salar L.) from the Swedish west coast and possible effects on sea ranching operations. Aquaculture. 1984;38:83–87. [Google Scholar]
  • 129.Schroeder RK, Lindsay RB, Kenaston KR. Origin and straying of hatchery winter steelhead in Oregon coastal rivers. Trans Am Fish Soc. 2001;130:431–441. [Google Scholar]
  • 130.Cooke SJ, Hinch SG, Farrell AP, Lapointe MF, Jones SRM, et al. Abnormal migration timing and high en route mortality of sockeye salmon in the Fraser River, British Columbia. Fisheries. 2004;29:22–33. [Google Scholar]
  • 131.Gilhousen P. Prespawning mortality of sockeye salmon in the Fraser River system and possible causal factors. Int N Pac Fish Comm Bull. 1990;26:1–58. [Google Scholar]
  • 132.Woodey JC. Smith HD, Margolis L, Wood CC, editors. In-season management of Fraser River sockeye salmon (Oncorhynchus nerka): meeting multiple objectives. . 1987. pp. 367–374. Sockeye salmon (Oncorhynchus nerka) population biology and future management.
  • 133.Thomson KA, Ingraham WJ, Healey MC, LeBlond PH, Groot C, et al. The influence of ocean currents on latitude of landfall and migration speed of sockeye salmon returning to the Fraser River. Fish Oceanogr. 2007;1:163–179. [Google Scholar]
  • 134.Groot C, Quinn TP. Homing migration of sockeye salmon, Oncorhynchus nerka, to the Fraser River. Fish Bull. 1987;85:455–469. [Google Scholar]
  • 135.Quinn TP, Dittman AH. Pacific salmon migrations and homing: mechanisms and adaptive significance. Trends Ecol Evol. 1990;5:174–177. doi: 10.1016/0169-5347(90)90205-R. [DOI] [PubMed] [Google Scholar]
  • 136.Cooke SJ, Hinch SG, Crossin GT, Patterson DA, English KK, et al. Physiological correlates of coastal arrival and river entry timing in late summer Fraser River sockeye salmon (Oncorhynchus nerka). Behav Ecol. 2008;19:747–758. [Google Scholar]
  • 137.Crossin GT, Hinch SG, Cooke SJ, Cooperman MS, Patterson DA, et al. Mechanisms influencing the timing and success of reproductive migration in a capital breeding semelparous fish species, the sockeye salmon. Physiol Biochem Zool. 2009;82:635–652. doi: 10.1086/605878. [DOI] [PubMed] [Google Scholar]
  • 138.Quinn TP, Terhart BA, Groot C. Migratory orientation and vertical movements of homing adult sockeye salmon, Oncorhynchus nerka, in coastal waters. Anim Behav. 1989;37:587–599. [Google Scholar]
  • 139.Tanaka H, Naito Y, Davis ND, Urawa S, Ueda H, et al. First record of the at-sea swimming speed of a Pacific salmon during its oceanic migration. Mar Ecol Prog Ser. 2005;291:307–312. [Google Scholar]
  • 140.Hinch SG, Cooke SJ, Healey MC, Farrell AP. Behavioral physiology of fish migrations: salmon as a model approach. In: Sloman SB K, Wilson R, editors. Fish physiology. San Diego: Elsevier; 2006. pp. 239–295. [Google Scholar]
  • 141.Olson AF, Quinn TP. Vertical and horizontal movements of adult Chinook salmon Oncorhynchus tshawytscha in the Columbia River Estuary. Fish Bull. 1993;91:171–178. [Google Scholar]
  • 142.Levy DA, Cadenhead AD. Selective tidal stream transport of adult sockeye salmon (Oncorhynchus nerka) in the Fraser-River estuary. Can J Fish Aquat Sci. 1995;52:1–12. [Google Scholar]
  • 143.Stasko AB, Horrall RM, Hasler AD. Coastal movements of adult Fraser River sockeye salmon (Oncorhynchus nerka) observed by ultrasonic tracking. Trans Am Fish Soc. 1976;105:64–71. [Google Scholar]
  • 144.Karppinen P, Erkinaro J, Niemela E, Moen K, Okland F. Return migration of one-sea-winter Atlantic salmon in the River Tana. J Fish Biol. 2004;64:1179–1192. [Google Scholar]
  • 145.Smith IP, Smith GW. Tidal and diel timing of river entry by adult Atlantic salmon returning to the Aberdeenshire Dee, Scotland. J Fish Biol. 1997;50:463–474. [Google Scholar]
  • 146.Solomon DJ, Sambrook HT. Effects of hot dry summers on the loss of Atlantic salmon, Salmo salar, from estuaries in South West England. Fish Manage Ecol. 2004;11:353–363. [Google Scholar]
  • 147.Smith GW, Smith IP, Armstrong SM. The relationship between river flow and entry to the Aberdeenshire-Dee by returning adult Atlantic salmon. J Fish Biol. 1994;45:953–960. [Google Scholar]
  • 148.Hinke JT, Foley DG, Wilson C, Watters GM. Persistent habitat use by Chinook salmon Oncorhynchus tshawytscha in the coastal ocean. Mar Ecol Prog Ser. 2005;304:207–220. [Google Scholar]
  • 149.Candy JR, Quinn TP. Behavior of adult Chinook salmon (Oncorhynchus tshawytscha) in British Columbia coastal waters determined from ultrasonic telemetry. Can J Zool. 1999;77:1161–1169. [Google Scholar]
  • 150.Cooke SJ, Hinch SG, Crossin GT, Patterson DA, English KK, et al. Physiology of individual late-run Fraser River sockeye salmon (Oncorhynchus nerka) sampled in the ocean correlates with fate during spawning migration. Can J Fish Aquat Sci. 2006;63:1469–1480. [Google Scholar]
  • 151.Crossin GT, Hinch SG, Cooke SJ, Welch DW, Batten SD, et al. Behaviour and physiology of sockeye salmon homing through coastal waters to a natal river. Mar Biol. 2007;152:905–918. [Google Scholar]
  • 152.Cooke SJ, Hinch SG, Crossin GT, Patterson DA, English KK, et al. Mechanistic basis of individual mortality in Pacific salmon during spawning migrations. Ecology. 2006;87:1575–1586. doi: 10.1890/0012-9658(2006)87[1575:mboimi]2.0.co;2. [DOI] [PubMed] [Google Scholar]
  • 153.Crossin GT, Hinch SG, Cooke SJ, Cooperman MS, Patterson DA, et al. Mechanisms influencing the timing and success of reproductive migration in a capital breeding semelparous fish species, the sockeye salmon. Physiol Biochem Zool. 2009;82:635–652. doi: 10.1086/605878. [DOI] [PubMed] [Google Scholar]
  • 154.Crossin GT, Hinch SG, Welch DW, Cooke SJ, Patterson DA, et al. Physiological profiles of sockeye salmon in the Northeastern Pacific Ocean and the effects of exogenous GnRH and testosterone on rates of homeward migration. Mar Freshwat Behav Physiol. 2009;42:89–108. [Google Scholar]
  • 155.Pyper BJ, Peterman RM. Relationship among adult body length, abundance, and ocean temperature for British Columbia and Alaska sockeye salmon (Oncorhynchus nerka), 1967–1997. Can J Fish Aquat Sci. 1999;56:1716–1720. [Google Scholar]
  • 156.Ryding KE, Skalski JR. Multivariate regression relationships between ocean conditions and early marine survival of coho salmon (Oncorhynchus kisutch). Can J Fish Aquat Sci. 1999;56:2374–2384. [Google Scholar]
  • 157.Logerwell EA, Mantua N, Lawson PW, Francis RC, Agostini VN. Tracking environmental processes in the coastal zone for understanding and predicting Oregon coho (Oncorhynchus kisutch) marine survival. Fish Oceanogr. 2003;12:554–568. [Google Scholar]
  • 158.Azumaya T, Ishida Y. An evaluation of the potential influence of SST and currents on the oceanic migration of juvenile and immature chum salmon (Oncorhynchus keta) by a simulation model. Fish Oceanogr. 2004;13:10–23. [Google Scholar]
  • 159.Welch DW, Ishida Y, Nagasawa K. Thermal limits and ocean migrations of sockeye salmon (Oncorhynchus nerka): long-term consequences of global warming. Can J Fish Aquat Sci. 1998;55:937–948. [Google Scholar]
  • 160.Welch DW, Chigirinsky AI, Ishida Y. Upper thermal limits on the oceanic distribution of Pacific salmon (Oncorhynchus spp) in the Spring. Can J Fish Aquat Sci. 1995;52:489–503. [Google Scholar]
  • 161.Caldiera K, Wickett ME. Anthropogneic carbon and ocean pH. Nature. 2003;425:365. doi: 10.1038/425365a. [DOI] [PubMed] [Google Scholar]
  • 162.Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT. Global Climate Projections. In: Solomon S, Qin D, et al., editors. Climate Change 2007. The physical science basis, global climate projections. Cambridge: Cambridge University Press; 2007. pp. 747–845. [Google Scholar]
  • 163.Cooperman MS, Hinch SG, Crossin GT, Cooke SJ, Patterson DA, et al. Effects of experimental manipulations of salinity and maturation status on the physiological condition and mortality of homing adult sockeye salmon held in a laboratory. Physiol Biochem Zool. 2010;83:459–472. doi: 10.1086/650473. [DOI] [PubMed] [Google Scholar]
  • 164.Kallio-Nyberg I, Saloniemi I, Jutila E, Jokikokko E. Effect of hatchery rearing and environmental factors on the survival, growth and migration of Atlantic salmon in the Baltic Sea. Fish Res. 2011;109:285–294. [Google Scholar]
  • 165.Johnson SL, Power JH, Wilson DR, Ray J. A comparison of the survival and migratory behavior of hatchery-reared and naturally reared steelhead smolts in the Alsea River and estuary, Oregon, using acoustic telemetry. N Am J Fish Manage. 2010;30:55–71. [Google Scholar]
  • 166.Lebreton JD, Burnham KP, Clobert J, Anderson DR. Modeling survival and testing biological hypotheses using marked animals: a unified approach with case studies. Ecol Monogr. 1992;62:67–118. [Google Scholar]
  • 167.Amstrup SC, McDonald TL, Manly BFJ. Handbook of capture-recapture analysis. Princeton: Princeton University Press; 2005. [Google Scholar]
  • 168.Pine WE, Pollock KH, Hightower JE, Kwak TJ, Rice JA. A review of tagging methods for estimating fish population size and components of mortality. Fisheries. 2003;28:10–23. [Google Scholar]
  • 169.Brownie C, Robson DS. Estimation of time-specific survival rates from tag-resighting samples: a generalization of the Jolly-Seber model. Biometrics. 1983;39:437–453. [Google Scholar]
  • 170.Burnham KP. A theory for combined analysis of ring recovery and recapture data. In: Lebreton JD, North PM, editors. Marked individuals in the study of bird populations. Basel: Birkhäuser Verlag; 1993. pp. 199–213. [Google Scholar]
  • 171.Pollock KH, Hoenig JM, Hearn WS, Calingaert B. Tag reporting rate estimation: 1. An evaluation of the high-reward tagging method. N Am J Fish Manage. 2001;21:521–532. [Google Scholar]
  • 172.Hearn WS, Hoenig JM, Polluck KH, Hepworth DK. Tag reporting rate estimation: 3. Use of planted tags in one component of a multiple-component fishery. N Am J Fish Manage. 2003;23:66–77. [Google Scholar]
  • 173.Kendall WL, Converse SJ, Doherty PF, Jr, Naughton MB, Anders A, et al. Sampling design considerations for demographic studies: a case of colonial seabirds. Ecol Appl. 2009;19:55–68. doi: 10.1890/07-1072.1. [DOI] [PubMed] [Google Scholar]
  • 174.Conn PB, Kendall WL, Samuel MD. A general model for the analysis of mark-resight, mark-recapture, and band-recovery data under tag loss. Biometrics. 2004;60:900–909. doi: 10.1111/j.0006-341X.2004.00245.x. [DOI] [PubMed] [Google Scholar]
  • 175.Cowen L, Schwarz CJ. Capture-recapture studies using radio telemetry with premature radio-tag failure. Biometrics. 2005;61:657–664. doi: 10.1111/j.1541-0420.2005.00348.x. [DOI] [PubMed] [Google Scholar]
  • 176.Townsend RL, Skalski JR, Dillingham P, Steig TW. Correcting bias in survival estimation resulting from tag failure in acoustic and radiotelemetry studies. J Agr Biol Envir St. 2006;11:183–196. [Google Scholar]
  • 177.Chopin FS, Arimoto T. The condition of fish escaping from fishing gears - a review. Fish Res. 1995;21:315–327. [Google Scholar]
  • 178.Bailey RE, Irvine JR, Dalziel FC, Nelson TC. Evaluations of visible implant fluorescent tags for marking coho salmon smolts. N Am J Fish Manage. 1998;18:191–196. [Google Scholar]
  • 179.Cooke SJ, Woodley C, Eppard MB, Brown RS, Nielsen JL. Advancing the surgical implantation of electronic tags in fish: a gap analysis and research agenda based on a review of trends in introcoelomic tagging effects studies. Rev Fish Biol Fish. 2011;21:127–151. [Google Scholar]
  • 180.Hall JE, Chamberlin J, Kagley AN, Greene C, Fresh KL. Effects of gastric and surgical insertions of dummy ultrasonic transmitters on juvenile Chinook salmon in seawater. Trans Am Fish Soc. 2009;138:52–57. [Google Scholar]
  • 181.Bridger CJ, Booth RK. The effects of biotelemetry transmitter presence and attachment procedures on fish physiology and behavior. Rev Fish Sci. 2003;11:13–34. [Google Scholar]
  • 182.McMichael GA, Eppard MB, Carlson TJ, Carter JA, Ebberts BD, et al. The juvenile salmon acoustic telemetry system: a new tool. Fisheries. 2010;35:9–22. [Google Scholar]
  • 183.Moffett IJJ, Crozier WW, Kennedy GJA. A comparison of five external marks for Atlantic salmon, Salmo salar L. Fish Manage Ecol. 1997;4:49–53. [Google Scholar]
  • 184.Voegeli FA, Lacroix GL, Anderson JM. Development of miniature pingers for tracking Atlantic salmon smolts at sea. Hydrobiologia. 1998;372:35–46. [Google Scholar]
  • 185.Chittenden CM, Beamish RJ, Neville CM, Sweeting RM, McKinley RS. The use of acoustic tags to determine the timing and location of the juvenile coho salmon migration out of the Strait of Georgia, Canada. Trans Am Fish Soc. 2009;138:1220–1225. [Google Scholar]
  • 186.Chittenden CM, Melnychuk MC, Welch DW, McKinley RS. An investigation into the poor survival of an endangered coho salmon population. PloS ONE. 2010;5(5):e10869. doi: 10.1371/journal.pone.0010869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 187.Thorstad EB, Kerwath SE, Attwood CG, Okland F, Wilke CG, et al. Long-term effects of two sizes of surgically implanted acoustic transmitters on a predatory marine fish (Pomatomus saltatrix). Mar Freshw Res. 2009;60:183–186. [Google Scholar]
  • 188.Cooke SJ, Crossin GT, Patterson DA, English KK, Hinch SG, et al. Coupling non-invasive physiological assessments with telemetry to understand inter-individual variation in behaviour and survivorship of sockeye salmon: development and validation of a technique. J Fish Biol. 2005;67:1342–1358. [Google Scholar]
  • 189.Welch DW, Batten SD, Ward BR. Growth, survival, and tag retention of steelhead trout (O. mykiss) surgically implanted with dummy acoustic tags. Hydrobiologia. 2007;582:289–299. [Google Scholar]
  • 190.Halttunen E, Rikardsen AH, Thorstad EB, Naesje TF, Jensen JLA, et al. Impact of catch-and-release practices on behavior and mortality of Atlantic salmon (Salmo salar L.) kelts. Fish Res. 2010;105:141–147. [Google Scholar]
  • 191.Holland K, Meyer C, Dagorn L. Inter-animal telemetry: results from first deployment of acoustic ‘business card’ tags. Endanger Spec Res. 2009;10:287–293. [Google Scholar]
  • 192.Cooke SJ, Hinch SG, Farrell AP, Patterson DA, Miller-Saunders K, et al. Developing a mechanistic understanding of fish migrations by linking telemetry with physiology, behavior, genomics and experimental biology: an interdisciplinary case study on adult Fraser River sockeye salmon. Fisheries. 2008;33:321–338. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Appendix S1

Boolean search terms used in Web of Science and Aquatic Science and Fisheries Abstracts academic search engines to locate peer-reviewed literature.

(DOC)

Appendix S2

References for peer-reviewed articles that were incorporated into descriptive review (i.e. numerical results).

(DOC)


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES