Changing the balance: interactions between hatchery and wild Pacific coho salmon in the presence of regime shifts, DJ Noakes, RJ Beamish, R Sweeting

Tags: hatchery fish, Strait of Georgia, coho salmon, British Columbia, marine survival, Oregon, sockeye salmon, hatchery coho, Beamish, R.J. Beamish, Oncorhynchus nerka, Oncorhynchus kisutch, Puget Sound, survival rate, wild fish, juvenile salmon, Washington, Oregon, survival rates, Pacific Fisheries Management Council, Canada, salmon production, wild salmon, enhancement, Pacific Ocean, wild salmon production, Pacific Salmon Commission, American Fisheries Society Symposium, Jackie King Fisheries and Oceans Canada, wild salmon stocks, hatchery coho salmon, Oregon Production Index, Solazzi, National Research Council, enhancement activities, the Pacific Northwest, chinook salmon, Pacific Coho Salmon, salmon hatcheries, Pacific States Marine Fisheries Commission, V9R 5K6 Noakes, Pacific Biological Station, R. Sweeting, J. Fish, Donald J. Noakes, Pacific Northwest, United States, E.A Perry, salmon stocks, Pacific salmon, Annual Pacific Climate, Aquat
Content: NPAPe Bulletin No. 2 Changing the Balance: Interactions between Hatchery and Wild Pacific Coho Salmon in the Presence of Regime Shifts Donald J. Noakes, Richard.J. Beamish, Rusty Sweeting, and Jackie King Fisheries and Oceans Canada, Pacific Biological Station, Nanaimo, Be. V9R 5K6
Noakes, D.J., R.J. Beamish, R. Sweeting, and J. King. 2000. Changing the balance: interactions between hatchery and wild Pacific coho salmon in the presence of regime shifts. N. Pac. Anadr. Fish Comm. Bull. NO.2: 155-163. Keywords: Enhancement, climate change, survival, management, ocean Abstract: Nearly 5 billion salmon are released from enhancement projects on an annual basis into the Pacific Ocean by Canada, Japan, Russia, and the United States. Although these largescale enhancement programs contribute substantially to salmon fisheries in the North Pacific, there is growing evidence to suggest that these hatchery fish may negatively affect wild salmon stocks both from a genetic and ecological perspective. There is also some evidence that hatchery fish have replaced wild fish particularly chinook (Oncorhynchus tshawytscha) and coho (0. kisutch) stocks. The percentage of hatchery fish in the waters off southern British Columbia, marine survival and climate trends, and hatchery policies and practices are used to examine potential interactions between hatchery and wild stocks. Shifts to lower productivity regimes such as occurred in 1989/90 may amplify the negative interactions. Decisive management action such as significantly reducing harvest pressure and protecting freshwater habitat may reduce these effects, but longer-term solutions are likely only if enhancement activities are viewed in a broader ecological context.
INTRODUCTION Salmon production in the north Pacific has fluctuated widely this century and there is some evidence to suggest such fluctuations have occurred naturally for hundreds and perhaps thousands of years (Finney et al. 1998; Beamish et al. 1999). An increase in production started in 1977 and coincided with significant shifts in climate and the ecosystem of the north Pacific (Ebbesmeyer et al. 1991; Beamish and Bouillon 1993). By the mid-1980s, total Pacific salmon catch exceeded 900,000 t annually. Salmon catches in Canada began to decline sharply around 1990, again coincidentally with a 'significant shift in the climate/ocean environment of the north Pacific (Beamish et al. 2000). Declines in salmon catch occurred for coho (Oncorhynchus kisutch) and chinook (0. tshawytscha) salmon despite large additions of hatchery-reared fry and smolts. These declines have resulted in managers in both Canada and the United States adopting restrictive harvest strategies and other conservation measures to protect wild salmon stocks. In addressing these complex salmon management issues, it is important to take into consideration the significant salmon enhancement activities around the Pacific, because the introduction of these hatchery
fish constitutes a major human intervention in our ecosystem. Each year, nearly five billion juvenile salmon from hatcheries, spawning channels, and lake enrichment programs are released into the north Pacific by Canada, United States, Japan, and Russia (Mahnken et al. 1998). These fish, henceforth referred to as "hatchery fish", contribute substantially to fisheries in each country (Beamish et al. 1997) but scientific evidence is accumulating that suggests these large-scale enhancement activities also have significant adverse effects on both wild salmon production as well as the entire ecosystem (Meffe 1992; Thomas and Mathisen 1993; NRC 1996; Grant 1997; Brannon et al. 1998; Waples 1999). When salmon enhancement programs were being initiated, there was a Common belief that the productive capacity of the Pacific Ocean was vastly underutilized with respect to wild salmon production (Perry 1995). In part, this belief stemmed from the relatively large catches of wild salmon in the early part of this century compared to the much smaller catches during the 1950s and 1960s (Fig. 1). In a review of the Canadian initiative in 1980, the long-term objective of the program was to double salmon production from previous levels to 86,000 t annually. There was, at that time, no evidence to suggest to the program
All correspondence should be addressed to D.J. Noakes. e·rnail: [email protected]·
Noakes et al.
Fig. 1. All nation catch of sockeye, pink, and chum salmon (bars) and the Integrated Aleutian Low Pressure Index (Beamish et aL 1999).
~ 700
>< t/) 600
Q) c:
c: .2
::I: 400 U I<- 300 U 200
~ 1976
1988 /~~ ~ n
~ -5 -10 a:: ..J -15 < 'C Q) OJ -20 6, Q) :5 -25
managers that the capacity of the ecosystem was incapable of sustaining this level of production. Salmon enhancement was seen as a means to compensate for declining freshwater production (lost through overfishing, urbanization or the construction of control structures/dams on rivers) or to take advantage of unproductive (or barren) freshwater systems (Beamish et al. 1997; Bradford and Irvine 2000). Salmon enhancement has been practiced intensively in British Columbia since the early 1970s (SEP-Program Coordination and Assessment Division. 1998). In each of the last 20 years, nearly 500 million hatchery or enhanced salmon have been produced and released in British Columbia coastal waters (Table 1). Sockeye (0. nerka), chum (0. keta), and pink (0. gorbuscha) salmon production from hatcheries, artificial spawning channels or lake enrichment (fertilization) programs represents about 85 percent of the total production. Chinook and coho salmon are of particular significance to the sport fishery and on average 42.5 million chinook and 17.6 million coho fry and s11101ts are released from hatcheries and other enhancement projects annually (Table 1). The United States also releases significant numbers of hatchery salmon each year (Beamish et al. 1997; Didier 1998; Mahnken et al. 1998). Alaskan salmon enhancement began in the mid-1970s and is primarily focused on the production of sockeye, pink, and chum salmon with recent combined annual releases for these three species in the neighborhood of 1.25 billion fish (Beamish et al. 1997; Mahnken et al. 1998). Salmon enhancement in Washington State began in 1895 and by the early 1950s more than 100 million chinook and coho salmon were being produced and released each year (Beamish et al. 1997).
In contrast to the situation in British Columbia and Alaska, the bulk of the Washington, Oregon, Idaho, and California enhancement efforts are focused on the production of chinook and coho salmon. In the 1990s, approximately 250 million hatchery chinook and 68 million hatchery coho, or roughly five times the Canadian production for these two species combined, were released annually by Washington, Oregon, Idaho, and California (Table 2). By the mid-1980s concerns and questions were being raised about the dramatic drop in survival for hatchery coho and chinook salmon in British Columbia. Marine survival for coho salmon decreased from about 20% in the mid-1970s to less than 2% by the 1990s. During the same period, marine survival for chinook salmon decreased from about 7% to less than 1%. Similar concerns had been raised in the United States (Washington State) in the early-1970s about its hatchery programs and, in retrospect, this was an ominous foreshadowing of the problems in British Columbia. To address this issue, several studies were initiated to determine the optimal size and time of release of hatchery salmon to maximize survival (Bilton et al. 1982). Despite these efforts, the marine survival for hatchery chinook and coho salmon continued to decline. In this paper, we examine trends in the marine survival of coho stocks at the southern end of their freshwater distribution as well as the relative abundance of wild and hatchery coho in the Strait of Georgia. The implications of various past and current hatchery practices are discussed from a genetic, ecological, and fisheries perspective. Finally, the plausible effects of regime shifts are examined.
and Wild Coho. ..
NPAFC Bulletin No.2
Table 1. Releases of juvenile salmon from Salmon Enhancement Program facilities in British Columbia (SEP-Program Coordination and Assessment Division. 1998).
Brood Year
19T1 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996
13,620,370 14,253,404 16,379,080 19,850,845 17,428,192 24,854,529 29,374,066 34,864,768 42,761,623 53,840,001 63,693,726 64,528,141 63,628,249 66,461,805 59,540,198 58,038,721 51,094,315 54,176,102 45,370,507 57,483,942
54,031,652 54,524,319 82,652,695 106,217,696 129,893,114 166,389,988 178,391,768 167,775,075 158,534,388 198,818,282 199,054,154 228,053,816 203,541,458 218,150,978 200,152,670 228,417,050 216,634,268 215,923,666 155,671,013 140,238,676
5,058,281 4,857,722 8,756,923 7,719,900 12,277,121 17,760,471 22,625,999 25,259,448 19,141,208 22,594,254 17,819,451 22,030,433 23,276,342 22,413,456 22,147,770 18,718,352 19,220,749 23,264,803 20,343,257 17,087,290
31,029,220 1,268,250 36,254,543 38,852,965 92,109,022 10,928,339 106,863,812 16,512,153 80,406,993 55,936,910 61,138,919 106,523,161 70,654,343 77,412,349 62,785,065 45,940,900 65,091,522 67,425,282 60,366,993 14,779,572
201,309,000 141,574,350 220.701,122 199,054,901 211,604,372 218,317,433 144,301,195 254,991,214 175,808,962 200,924,044 158,654,299 231,737,734 223,568,392 258,861,158 277,228,098 276,430,119 192,659,518 160,575,488 120,842,893 252,059,228
305,048,523 216,478,045 364,744,363 371,696,307 463,311,821 438,250,760 481,556,840 499,402,658 476,653,174 532,113,491 500,360,549 652,873,285 584,668,784 643,299,746 621,853,801 627,545,142 544,700,372 - 521,365,341 402,594,663 481,648,708
· includes lake enrichment projects
Table 2. Estimated enhanced salmon releases from Washington, Oregon, Califomia, and Idaho, 1993-1997.
Total 342,239,205 402,783,248 434,922,237 400,509,736 344,434,042 384,977,694
METHODS Marine survival estimates for coho were determined using hatchery released coho that were tagged with a coded wire inserted in the nose (Beamish et al. 2000), The survival rate estimate was made by expanding the number of coded wire tags (CWT) recovered by the appropriate tagging percentage for each hatchery and calculating the percentage of total hatchery fish that survived, For the Strait of Georgia, the brood year survival was calculated using the number of hatchery fish released directly or indirectly into the Strait of Georgia and dividing the release
estimate into the estimate of the number that were caught in fisheries and returned to spawn, For Puget Sound, marine survival was calculated from CWT data stored at the Pacific States Marine Fisheries Commission regional mark information system (Pinnix 1998), The Oregon Production Index (OPl) measures the survival of coho that enter the Pacific Ocean from California, Oregon, and southern Washington, north to Willapa Bay, The survival index is determined by summing the Washington, Oregon, and California smolt releases and dividing this number into the estimated adult and jack returns, Releases from private hatcheries or enhancement facilities are
No,2 not part of the index. Data from 1972-1995 are from Pacific Fisheries Management Council (PFMC 1997). In addition to examining the estimated survival rates, all survival estimates were subtracted by the mean of the time series and divided by the standard deviation to produce standardized anomalies. Estimates of the percentage of hatchery and wild coho salmon were obtained from samples of juvenile salmon collected using trawl gear (Beamish and Folkes 1998; Sweeting et al. in review). The trawl net was a modified rope trawl with an average opening of 14 m (depth) by 30 m (width) and was towed at an average speed of 5 kt (2.6 mls). The gear was trawled throughout the surface waters of the Strait of Georgia from the Canadian Coast Guard vessel WE. Ricker. Surveys were conducted in May and September in both 1997 and 1998 (Sweeting et al. in review). Similar but larger rope trawls that have an opening of about 50 m X 50 m have been used to study the abundance and distribution of Asian stocks of Pacific salmon (Shuntov et al. 1988, 1993). All juvenile coho salmon were examined visually for clipped fins as well as with a coded wire tag detector to determine if a CWT had been inserted into the head. The heads of all fish with a CWT were frozen and the tag was removed and decoded at a later date. In addition, one hundred coho were randomly selected and the otoliths were examined for rearing type using the microstructure of the otolith (Zhang et al. 1995). Whenever possible, the left otolith was used in the determination, but if the left otolith was crystalline or if it was missing in the sample, the right otolith was used. RESULTS Average survival rates for coho salmon stocks associated with the OPI (3.2% survival) were approximately one third the rates observed for Strait of Georgia (9.4% survival) and Puget Sound (8.1% survival) stocks. In all three areas, marine survival rates after ocean year 1990 decreased substantially (Fig. 2). Compared to average survival rates prior to 1990, the observed reductions in survival were on the order of 60% for Strait of Georgia (from 11.2% to 4.6%) and OPI (from 3.9% to 1.3%) coho stocks, and 40% for Puget Sound (from 9.0% to 5.4%) coho stocks (Fig. 2). Lower than average marine survival was estimated for Puget Sound stocks in the early and mid1970s while survival rates for Strait of Georgia and OPI coho stocks were either above average or average for the period prior to 1990. An intervention analysis (Hipel and McLeod 1994) of the standardized anomaly series (Fig. 2) identified a significant shift in 1990 in the Strait of Georgia and Puget Sound survival trends and in 1991 in the OPI (Table 3). These changes in marine survival coincided with significant shifts in the Aleutian Low Pressure Index and
Noakes et aJ. Fig. 2. Marine survival rates and survival rate anomalies for hatchery coho released into the Strait of Georgia, Puget Sound, and stocks contributing to the Oregon Production Index (OPI) (Beamish et al. 2000). The dashed line in each of the six panels identifies ocean year 1990, ~=s![llllotGii6r'lJ!ll.-_'_~ I 20 15 10
20 ~ ro 15 > '~ ciS 10 "c .~ ::a 5
~ >- ~ 0 «C (] ro > '~ :::J ·1 (/)
20 15 10
1970 1975 1960 1985 1WO 1995 2000 Year to sea
Year to sea
Table 3. Step intervention parameters, roo, and estimated (standard errors) for the coho marine survival data.
Strait of Georgia
-4.61 (2.22)
Oregon Production Index
-3.23 (1.00)
Puget Sound
-0.73 (0.22)
other ocean-climate indices around 1990 (Beamish et al. 1999). In 1997, 2,925 ocean age 0 coho were caught in the Strait of Georgia trawl surveys. An additional 2,760 ocean age 0 coho were caught in similar surveys in 1998. Based on fin clips and CWTs, approximately 75% of the juvenile coho caught in the Strait of Georgia in the 1997 survey were of hatchery origin. A similar estimate (70%) was obtained from the 1998 survey (Sweeting et al. in review). On average, hatchery coho were larger than wild coho in the
and Wiid Coho...
May survey with mean lengths of 136 mm and 125 mm, respectively. The size ditIerence had largely disappeared by the September survey with mean lengths for hatchery and wild coho of 268 mm and 263 mm, respectively (Sweeting et a1. in review). Percentages of hatchery fish estimated using the otolith microstructure were similar: 72.5% in 1997 and 71.5% in 1998. A high percentage (> 85%) of fish with one crystalline otolith were determined to be of hatchery origin.
A comparison of survival for hatchery and wild coho salmon is difficult primarily because of the lack of good data for wild stocks. Spatial and temporal differences in marine survival have been noted but the general trends in marine survival for both wild and hatchery coho salmon from the same geographic region appear to be similar (Coronado and Hilborn 1998). It is generally accepted that survival in the early freshwater stages of development is substantially better for hatchery reared salmon. There is also some evidence (Nickelson et a1. 1986; Solazzi et a1. 1990; Reisenbichler 1996) to suggest that hatchery fry out-planted in streams have better survivals rates than wild fry due to a size advantage for the hatchery fish. This may be important since in some cases fry releases have been significant with more than 10,000 fishlkm of stream out-planted in years when the streams were likely to be already fully seeded by progeny from wild spawners (Pitre and Cross 1992). It is plausible that both short and long term ecological and genetic consequences resulted from these activities although no quantitative studies have been conducted. There are also potential disease concerns because fish health checks are typically not conducted when the fry are out-planted into watersheds associated with the hatchery. Although the same pathogens are likely present in both the hatchery and the watersheds, the pathogens could be inadvertently amplified in the hatchery and spread to the wild fish (Noakes et al. 2000). Solazzi et al. (1990) also noted that the hatchery coho generalfy returned to spawn earlier than the wild coho but the resultant offspring from the adult hatchery coho had poorer survival. It is quite likely that differences in spawning time are designed to buffer the effects of environmental variation and that the percentage of early and late spa\\'11ing wild coho shifts over time to adapt. These shifts could be in response to changes in either spawning or rearing habitat or food availability in fresh or saltwater. If wild coho were replaced by hatchery coho as a result of hatchery fry being out-planted, it is plausible that the stocks' ability to adapt to adverse environmental conditions has been seriously impaired. Solazzi et a!. (1990) also found that for the 30 streams in Oregon
NPAFC Bulletin No.2 considered in their study, the number of adult coho caught in fisheries or returning to spawn was not substantially influenced by the level of enhancement. The information for British Columbia is much more limited with only three wild indicator streams actively monitored for Strait of Georgia coho stocks and no experiments on the same or similar scale to Solazzi et al. (1990). Although reasonably good estimates of the number of juvenile coho (and other salmonids) released from hatcheries are available, the same is not necessarily true for indicator stocks where wild juveniles are tagged and released. In some years, a high percentage (more than 60%) of the adults returning to the wild indicator streams do not have coded wire tags (Simpson et al. 1999). These untagged fish are either stray hatchery fish from nearby hatcheries or represent the returns from wild juveniles that were missed during the tagging and monitoring programs conducted each year. The low straying rates for both coho and chinook salmon (Sandercock 1991; Labelle 1992; Candy and Beacham 2000) suggest that these fish are more likely returns of wild juvenile salmon that were not tagged. The exclusion of the unmarked adult fish as well as potential problems stemming from not taggIng an unknown portion of the wild juvenile coho may result in a biased estimate of the marine survival for the wild fish (Noakes et a1. 2000). The marine survival of the tagged fish may not be representative of the entire population given differences observed in other systems (Solazzi et a1. 1990). It is possible, however, to examine the relative abundance of hatchery and wild coho. Surveys of juvenile salmon in the Strait of Georgia and BC coastal waters indicated that between 70% and 80% of the juvenile coho salmon are now of hatchery origin (Beamish et a1. 1998; Sweeting et al. in review). Also, some hatchery managers have suggested that up to 50% of the salmon spawning in rivers with hatcheries are first generation hatchery fish. These are in addition to the hatchery fish that may stray into streams without hatcheries to spawn with wild salmon (Simpson et a1. 1999). Depending on one's point of view, these fish and their offspring could be viewed as 'wild' fish although there are serious genetic issues to consider (Hindar et al. 1991). Estimates of the percentage of hatchery coho in the Strait of Georgia have been made over time (Cross et al. 1991; Sweeting et al. in review). The percentage of hatchery fish has increased from about 25% in the early 1980s to nearly 50% in 1990 and to approximately 75% in 1998 (Table 4). These estimates suggest a gradual replacement of wild fish with hatchery fish over time. If the annual rate of replacement (either through differences in marine survival between hatchery and wild salmon or differential harvest rates) was approximately 5% per year, then a
NPAPe Bulletin No.2
Table 4. Approximate percentage of hatchery origin Strait of Georgia coho salmon. Estimates from Cross et al. (1991) and Sweeting et al. (in review).
simple calculation shows the proportion of hatchery fish would be approximately 25%, 50%, and 75% after 5, 13, and 28 years of enhancement, respectively (Fig. 3). This rate is only slightly higher than the rate of increasing hatchery percentage reported in Sweeting et al. (in review). It appears that the rate of replacement may have changed over time and was perhaps slightly less than 5% from the mid-1970s to the late-1980s and slightly more than 5% in the 1990s (Table 4 and Fig. 3). This could be due to changes in ecosystem productivity or some sort of positive feedback mechanism whereby the shift to hatchery fish accelerates as the proportion of hatchery fish increases. It is important to note that the increase in the percentage of hatchery coho has occurred at the same time the total abundance has declined. Beamish and Mahnken (1998, 1999) proposed that coho salmon abundance is controlled according to a critical size and critical period hypothesis. They propose that early marine survival occurs in two major stages. In the first stage, marine mortality is primarily predator based occurring shortly after entry into salt water. The size of the coho smolts as well as their density and the abundance of predators are all contributing factors at this stage. The second stage of significant marine mortality occurs in the fall and winter although slower growing salmon may also die during the summer months. Juvenile salmon not reaching a critical size by the fall equinox are unable
Fig. 3. Estimated percentage of hatchery fish over time (years since enhancement began) assuming average annual replacement rates (Le. hatchery fish replacing wild fish) of 5.0%. The percentage of hatchery fish would be approximately 25%,50%, and 75% after 5,13, and 28 years, re- spectively. 100r---------------------------------~
.i!' 75 .c !:l O~----~--_ _--~--------------~~
Time (years)
to survive until the next season. Both density depend-
ent and density independent factors are important to
the phase of growth related mortality. The negligible
difference in the size of hatchery and wild fish in the
fall (as observed during the Sep;ember surveys) tends
to support this size selective hypothesis although a
faster growth rate of wild fish would also be an ex-
planation. Since hatchery fish are larger than wild
fish when they first enter the ocean (as observed dur-
ing the May surveys), this may result in an advantage
for hatchery fish during the size related, predation
based mortality stage, ensuring that a greater percent-
age of hatchery fish than wild fish reach a critical size
by the fall. This could, in part, explain the observed
shift in the percentage of hatchery coho over time
(Table 4). According to this view, the overall abun-
dance of both wild and hatchery coho are governed
t?r~ugh the critical size and critical period theory
Imuted both by the overall carrying capacity of the
ocean and through competitive interactions with other
salmonids or other species such as herring (Clupea-
harengus) and hake (Merluccius productus).
Another likely factor contributing to the relative
shift from wild to hatchery fish is non-selective mixed
stock fisheries. In mixed stock fisheries, the catch is
composed of salmon from a variety of wild and
hatchery stocks and the various stocks are frequentlv
subjected to differential harvest rates. This is particu'-
larly true when fewer wild salmon are mixed with a
large number of co-migrating hatchery salmon. Be-
cause of the non-selective significant portions of less
nature of abundant
intercepted during an intensive fishery opening where
the capacity of the fishing fleet is excessive. The
problem is compounded when stocks are in decline
such as after the regime shifts in 1990. The actual
harvest rate (calculated only after the fishing season
ends) can be much higher than the pre-season target
harvest rate if salmon abundance is declining, thus
increasing the probability of smaller runs of salmon
being fished to near extinction levels. If the form of
the production function for the stocks under consid-
eration is known or can be assumed, it is possible to
estimate an appropriate harvest rate for the mixed
stock fishery. For instance, assuming a Ricker type
production function Paulik et al. (1967) developed a
method to determine an appropriate harvest rate.
Differences in productivity may be a function of both
density-independent and density-dependent factors as
well as the current state of the stock. In reality, the
complex interactions present in the ecosystem are
likely to result in these factors being significantly
confounded and difficult to separate. This is an im-
portant concept to consider in developing strategies to
manage mixed stock fisheries and is often overlooked
when stocks are considered in isolation during the
assessment and management process.
Interactions between
and Wild Coho",
If a Ricker stock recruitment function is considered appropriate, the density-independent factor, a, will be the detennining factor at low levels of abundance with more productivc stocks (at > az > a3) being able to withstand a higher harvest rate (Fig, 4A). Routeledge and Irvine (1999) showed that if the harvest rate is too high for too long (perhaps only a few generations), the lower productivity stocks will eventually become extinct and that the probability of extinction is a function of a (Fig. 4B). Climate shifts are likely to result in changes to the density independent component of the recruitment function (a) and perhaps to the density dependent component (~) through various complex ecological interactions. A shift to a less productive regime (such as occurred in 1990) will tend to reduce a, further compounding both the overall and relative declines of hatchery and wild coho. Also, hatchery stocks tend to have higher values of a (relatively few adults are required to produce a large number of juveniles) than wild stocks and are thus less likely to become extinct than wild stocks. A shift in climate may also increase the relative difference in a between hatchery and wild stocks and may, in part, explain the shift towards a higher percentage of hatchery fish in the combined popUlation. Enhancement activities have changed over the past century but it is clear that some practices have negatively affected wild stocks (Meffe 1992; NRC 1996; Brannon et al. 1998; Waples 1999; Noakes et al. 2000). The practices have tended to reduce genetic diversity in some cases (Withler 1988; Withler and Beacham 1994). In other instances, transfers within and between watersheds were done with little or no evaluation of the genetic consequences (Foerster 1946, 1968; Ricker 1987; Williams 1987; Roos 1991; Withler et al. 2000). While some limited degree of straying is generally believed to be beneficial in increasing local genetic diversity, the consequences of these larger scale and uncontrolled interventions are not known although they are commonly thought to be negative. The ecological consequences of enhancement have be5!n equally significant through both biological and fisheries interactions. Climate shifts to lower productivity regimes and the inability to detect and react to these changes quickly have compounded the problem. The net result has been an overall decrease in coho abundance and an increase in the percentage of hatchery fish that seems to be accelerated by changes in environmental factors. It is clear a better understanding of the mechanisms controlling abundance and links to climate change is necessary.
Fig. 4. A. Ricker stock recruitment curves for three hypothetical stocks, Each stock is defined by a unique densityindependent parameter, a, Stocks 1 and 2 have the same density-dependent parameter,~. B. Probability of stock extinction as a function of the Ricker tt parameter. The replacement line represents the point where the stock (escapement) is just adequate to maintain the population at a fixed level of production. ill Stock Size B a ACKNOWLEDGEMENTS Colin Wallace, Chrys Neville, and Corey Poier assisted in the Data analysis and preparation of this manuscript. REFERENCES SEP-Program Coordination and Assessment Divi- sion. 1998. An assessment of Canadian enhanced salmon production, 1977-1997. (NPAFC Doc. No. 332) 18p. Dept. of Fisheries and Oceans, Habitat and Enhancement Branch, Vancouver, B.C. V6B 5G3.
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No.2 1988. Composition and present state of pelagic fish communities in the western Bering Sea. Biologiya morya 2: 3-41 (in Russian). Shuntov, V.P., A.F. Volkov, O.S. Tenillykh, and E.P. Dulepova. 1993. Pollock in the ecosystems of the far eastern seas. TINRO Sci. Rep. Vladivostok No.2-53. Simpson, K., R. Semple, S. Baillie, B. Adkins, and S. Lehmann. 1999. Status of coho salmon stocks adjacent to the Strait of Georgia including the lower Fraser River. Pacific Scientific Advice Review Committee Working Paper S99-199. Solazzi, M.F., T.E. Nickelson, and S.L. Johnson. 1990. An evaluation of the use of coho salmon presmolts to supplement wild production in Oregon coastal streams. Fish. Res. Rep. No. 10, Oregon Dept. Fish and Wildlife, Portland, Oregon. Sweeting, R.M., R.J. Beamish, 1.R King, and D.J. Noakes. In review. Recent percentages of hatchery-reared coho in the Strait of Georgia are substantially higher than wild coho. Thomas, G.T., and O.A. Mathisen. 1993. Biological interactions of natural and enhanced stocks of salmon in Alaska. Fish. Res. 18: 1-17. Waples, RS. 1999. Dispelling some myths about hatcheries. Fisheries 24: 12-21. Williams, I.V. 1987. Attempts to re-establish sockeye salmon (Oncorhynchus nerka) populations in the upper Adams River, British Columbia, 194984. In Sockeye salmon (Oncorhynchus nerka) population biology and future management. Edited by H.D. Smith, L. Margolis, and C.C. Wood. Can. Sp. Pub. Fish. Aquat. Sci. 96: 235-242. Withler, R.E. 1988. Genetic consequences offertilizing chinook salmon (Oncorhynchus tshawytscha) eggs with pooled milt. Aquaculture 68: 15-25. Withler, R.E., and T.D. Beacham. 1994. Genetic consequences of the simultaneous or sequential addition of semen from multiple males during hatchery spawning of chinook salmon (Oncorhynchus tshawytscha). Aquaculture 126: 11-23. Withler, RE., K.D. Le, 1. Nelson, K.M. Miller, and T.D. Beacham. In press. High levels of intra- and inter-population genetic variation in exploited populations of Fraser River sockeye salmon, Oncorhynchus nerka. Zhang, Z., R.J. Beamish, and B.E. Riddell. 1995. Differences in otolith microstructure between hatchery-reared and wild chinook salmon (Oncorhynchus tshawytscha). Can. 1. Fish. Aquat. Sci. 52: 344-352.
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DJ Noakes, RJ Beamish, R Sweeting

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