Selection equilibrium for hatchery and wild spawning fitness
in integrated breeding programs
Daniel Goodman
Can. J. Fish. Aquat. Sci./J. Can. Sci. Halieut. Aquat. 62(2): 374-389 (2005)
Abstract: Some salmon hatchery programs intentionally integrate the
wild and hatchery population by taking naturally spawned fish as some fraction
of the broodstock and allowing hatchery progeny to constitute some fraction of
the adults spawning in the wild. This circumvents some ecological concerns
about the effects of hatchery fish on the "wild" population while
still reaping some of the benefits of increased potential for harvest, but it
increases some genetic concerns. Here, we model phenotypic evolution in the
integrated population to investigate the effects on natural spawning fitness at
the joint selection and demographic equilibrium. We find a potential, but not a
certainty, depending on quantitative aspects of the management interacting with
biological characteristics of the stock, for substantial erosion of natural
spawning fitness, compared with the original wild population, including the
possibility of runaway selection driving natural spawning fitness effectively
to zero. The vulnerability to such evolutionary deterioration increases with
the magnitude of the contribution of hatchery breeding to the total production
and increases with harvest. The response of the selection equilibrium to
increasing contribution of hatchery progeny to the broodstock can exhibit a
catastrophic discontinuity.
389
Introduction
Hatchery husbandry
practices have advanced to the point where hatchery propagation of salmon can
be an effective means to produce smolts for release to the wild, where they will
rear, grow, and mature and return for harvest. While the smolt to adult return
rates of hatchery salmon are often lower than those of the corresponding wild
fish, the egg to smolt survival rates are generally enough higher in the hatchery,
compared with the wild, to more than compensate. This results in a net
numerical life cycle advantage for the hatchery stock in hatchery propagation,
allowing a higher harvest rate. A salmon hatchery program that is successful from
the standpoint of production for harvest may, nevertheless, be judged a
liability because of harmful effects on wild
salmon sharing the
same natural habitats.
The negative
ecological effects of hatchery production on a wild stock with which it
interacts can include competition and predation (Waples 1999; Levin and
Williams 2000; Levin et al. 2001). An unselective harvest managed for the higher
productivity of the hatchery stock will overharvest the wild stock (Hilborn
1992).
Straying of hatchery
adults into the wild spawning grounds raises the potential for harmful genetic
effects as well. Hatchery propagation of a hatchery stock gives rise to
domestication
selection, which
results in accumulation of adaptations to hatchery conditions, with attendant
deterioration of performance under natural conditions during the corresponding
portion
of the life cycle.
Further, the postrelease life history that evolves to mesh with the hatchery
rearing may not prove adaptive when fish from the hatchery stock spawn in the
wild.
There is also a
potential for inbreeding depression and loss of genetic diversity if the
effective population size of an isolated hatchery stock is too small.
Introgression between a domesti-
cated or inbred
hatchery stock and a wild stock will depress the fitness of the wild stock.
Concerns about the
harmful effects of hatchery salmon stocks on their wild counterparts have
prompted consideration of integrated production programs, where there is no importation
of hatchery broodstock from other basins, where adults of local natural
spawning origin are included among the hatchery broodstock in each generation,
and a substantial number of adults of hatchery spawning origin are allowed to migrate
to the natural spawning grounds. If the hatcheryorigin
fish spawn
successfully with the natural-origin fish in the natural spawning grounds, the
hatchery- and naturally spawning populations will converge genetically. In the
end, there will be just one integrated population, with individuals that are
derived from both hatchery and natural spawning in the previous generation and
where fish of hatchery or natural spawning origin may cross over to the
respective alternative spawning environment in any generation.
The hope, in
advocating integrated programs, is that the merging of the hatchery and wild
stocks will reduce the degree of domestication and inbreeding, which is a
reasonable expectation, since a totally distinct hatchery stock is unlikely to
diverge under these conditions and the effective population size is that of the
integrated aggregate. It is still meaningful, however, to compare the
properties of the population before and after such a program is initiated. In
particular, we might inquire into changes in natural spawning fitness by comparing
the natural spawning fitness in the absence of a hatchery influence with the
natural spawning fitness that obtains at the selection equilibrium when a
defined integrated production program is in effect. The present analysis will
address that question
by means of a model of demographic dynamics and phenotypic selection in a
managed integrated production program.
Several versions of integrated
salmon hatchery programs have been proposed, and several are underway (e.g., Carmichael
and Messmer 1995; Dauble and Watson 1997; Fast and Craig 1997). Variations have
to do with whether the intervention is intended to be temporary or indefinite,
with
the intended
management of harvest, and with intended quantitative limits on the fraction of
the naturally spawned run that may be taken as hatchery broodstock, the
fraction of the broodstock that may be progeny of hatchery spawning, and the
fraction of the adults on the natural spawning ground that may be progeny of
hatchery spawning. The programs are variously called supplementation,
augmentation, or supportive breeding, but the definitions are not consistent,
and
these terms are
sometimes applied also to more conventional hatchery production programs that
are still thought to serve some conservation role.
The question of the
effects of integrated production on natural spawning fitness has been
articulated previously (Campton 1995; Currens and Busack 1995; reviewed in Bilby
et al. 2003). The theoretical possibility of the phenomenon has been treated
explicitly in a number of modeling
analyses. These models
include one-locus two-allele classical genetic models of essentially
antagonistic selection in the respective hatchery and natural environments
(Reisenbichler
1984; Byrne et al.
1992; Harada 1992), single-trait quantitative genetics models specifically for
a trait that can be conditionally deleterious in the respective hatchery and
natural environments (Adkison 1995; Hard 1995; Ford 2002), models that also
consider mutation and drift (Lynch and O’Hely 2001), and a more complicated
quantitative model assuming some degree of coadaptation of traits (Emlen 1991)
in the respective environments. With the exception of the analysis by Lynch and
O’Hely (2001), the more comprehensive of these analyses were carried out by
simulation or numerical solution for selected parameter values. These models
show that evolution towards lower natural spawning fitness is indeed a
theoretical possibility in integrated production programs.
In the present
analysis, we focus exclusively on the effects of selection in the integrated
population, ignoring the possible drift and inbreeding effects attributable to
small population
size. Further, we will
assume that the set of geographic locations where broodstock is collected and
where hatcheryphase products are released are chosen so that the hatchery phase
does not merge multiple locally adapted stocks or inadvertently take broodstock
selectively. Finally, we will not consider populations so near extinction that
an immediate genetic or demographic rescue is needed.
The analysis will
proceed in two main sections. First will be analysis of a model just of the
demographic dynamics of a harvested integrated hatchery production system,
operating
under defined
management protocols, primarily to obtain solutions for demographic
equilibrium. The model will then be extended to consider the evolutionary
equilibrium in such a system when the population encompasses a range of
possible genotypes with different fitnesses in both the hatchery and natural
spawning phases (Goodman 2004). The goal is to develop a comprehensive analysis
that considers fitness as expressed in population dynamic terms in the context
of a
model that includes
the effects of harvest and the controls on the breeding and release program.
In the interests of
generality, the representation of particular genetic mechanisms will be
bypassed in favor of a fitness set analysis that simply considers the spectrum
of possible genetically determined phenotypes (Levins 1962; Schluter and Nychka
1994) and solves for the selection equilibrium as an evolutionarily stable
state (Maynard Smith and Price 1973). This approach has the advantage of
requiring fewer assumptions and fewer parameters. Basically, the evolutionary
model is phenotypic,
not genotypic, although it assumes heritability of phenotype. The assumptions
of the model are unexceptional: (i) it postulates that evolution will
maximize
the overall effective
fitness in the system, (ii) it diagnoses, via the demographic model, the
respective contributions of hatchery spawning phase and natural spawning phase
fitness
to the overall
fitness, and (iii) it assumes that there are inevitable trade-offs
between achieved hatchery spawning fitness and natural spawning fitness. The
analysis will dissect the
relationship between
the management controls of an integrated breeding protocol and the resulting
relative weights that hatchery spawning fitness and natural spawning fitness will
have in their respective contributions to overall fitness.
These weights then
determine the selection forces that will emphasize one fitness component at the
expense of the other. The generality of the approach does exact some cost in
the range of
properties about which the model can make predictions. Because the model makes
no assumptions about genetic mechanism, the results only can characterize the
selection equilibrium. The analysis is silent about questions of the speed of
the selection response, or the speed of the possible reverse evolution when
supplementation is terminated. Further, to promote generality, and hopefully to
crystallize an efficient representation of the factors that control the fitness
effects of selection
in an integrated production system, the emphasis will be on analytical
solutions, where possible, and where analytical solutions are not available,
the results of systematic numerical explorations will be displayed to identify
critical regions of the parameter space and to confirm robustness of the
results.
Discussion
Integrated hatchery
breeding programs have been proposed as a possible solution to the problems
posed by the negative effects of hatchery stocks on the wild stocks with which
they interact. Once the integrated breeding program has been in place, the wild
stock will no longer be distinct,
so there is no point
to asking whether the hatchery phase of the integrated population has a
negative effect on the fitness of the natural spawning phase. This does not,
however, preclude
comparison of the
characteristics of the original wild stock, before it came under hatchery
influence, with the characteristics of the population that results from the
integrated hatchery production. The present modelling analysis conducts such a
comparison, where the characteristic of interest is the intrinsic replacement
rate realized from natural spawning.
The adverse selection
phenomena are the result of selection for traits that are adaptive in the
hatchery-reared life cycle but are not optimal for a natural spawning life
cycle. A
significant component
of the selection during the hatcheryreared life cycle may occur as life history
selection after release, acting on life history consequences of the
individual’s state at release. Thus, strong selection, different from the
selection on natural spawning fish, can occur during the course of a
hatchery-reared generation, even if mortality within the hatchery is slight.
Assuming that the wild population’s original life history is at an adaptive
peak, other selection on life history traits will move the phenotype off that
peak, diminishing performance under conditions experienced by the wild
population.
By representing the
available phenotypes as a fitness set characterized by biologically possible
combinations of hatchery replacement rate and natural spawning replacement rate,
and combining this with the demographic model of the integrated production
system, the analysis here has obtained a closed-form solution for the selection
equilibrium that results. We find that integrated breeding has the potential
for large depression of natural spawning fitness, potential for runaway
selection driving the natural spawning fitness to zero, and potential for a
discontinuous knife-edge response to gradual increases in the contribution of
hatchery-spawned fish to the hatchery production of the integrated population.
The previous
literature on evolutionary models of integrated production shows a potential
for selection to reduce natural spawning fitness (Adkison 1995; Lynch and
O’Hely 2001; Ford 2002). The present analysis generalizes and extends those
results, showing a spectrum of selection responses, including runaway selection
and a knife-edge response to increasing supplementation, and revealing the parameter
ranges for which they occur. All of the models are in agreement that a
reduction in natural spawning fitness is possible and that the reduction could
be large, which lends credence to the concerns about large-scale implementation
of integrated production programs and raises grave questions about the
suitability of supplementation as a conservation
measure for weak
stocks that are still self-sustaining (Goodman 2004).
The capacity of the
model developed here to solve explicitly for the selection equilibrium as a
function of the management controls motivates us to inquire whether we can, with
present knowledge, reasonably predict, quantitatively, the expected amount of
depression of natural spawning fitness in a defined integrated breeding
program.
The model of
demographic equilibrium used here is sufficiently specified by six
straightforward quantities: adult to adult replacement rates, harvest rates,
and broodstock removal rates for both the hatchery spawned and naturally spawned
fish. These are readily measurable, and while they
have not all been
measured systematically in well-controlled actual implementations of integrated
production, we have enough experience with such measurements to know the range
of values to expect for the initial condition (before selection has proceeded
to a substantial extent).
The model for the
selection equilibrium requires one more term, α, describing the negative
correlation, at a selection limit, between natural spawning and hatchery
spawning replacement
rates. This term
reflects an aspect of the set of biological possibilities for the stock. We
have found that the results for any particular scenario examined with the model
are strongly affected by this term. In contrast with the demographic quantities
in the model, this trait correlation has
never been measured
for salmon in an integrated breeding program, and in fact, except for theoretical
assurance of a negative correlation, we do not have a basis for expecting values
in one range of magnitudes or another across the spectrum of values that give
rise to quite different quantitative results for the selection equilibrium.
There are a modest
number of stocks for which natural spawning and hatchery spawning replacement
rates have both been measured. The collection of such empirical (Ra,Rw)
pairs would indicate what the range of possibilities may be for a range of
stocks over a range of environments, but the slope of the border of this
collection of points is not the slope of the trade-off within a given stock for
a given environment, and it is the latter that we need to characterize α
quantitatively.
The local magnitude of
the trait correlation term could in principle be back-calculated from
measurements of the demographic quantities at the selection equilibrium, if we
had them. But deliberate integrated production is a relatively new idea, and
systematic empirical measurements have never been undertaken to monitor the
evolution of natural spawning replacement rates, over many generations, in a program
following a defined protocol. Practically, such measurements
would also need to be made
over enough brood years to average out the effects of environmental variation.
Nevertheless, if
supplementation is going to be deployed on an “experimental” basis, these are
the quantities that need to be measured for the experiment to be informative.
The modelling results
from this paper show that this experiment has the potential for a significant
downside. It would be prudent to proceed cautiously in implementing integrated production
with careful experimental design and systematic monitoring to determine how
frequent and severe
the depression of
natural spawning fitness really is. In particular, since the modelling shows
that the depression of natural spawning fitness will increase with the
magnitude of the hatchery contribution to total production, it would be good to
determine empirically whether specific policy caps on the amount of hatchery
contribution can limit the fitness erosion to a tolerable level.