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In the Light of Evolution Volume III: Two Centuries of Darwin 7 Human-Induced Evolution Caused by Unnatural Selection Through Harvest of Wild Animals FRED W. ALLENDORF*† and JEFFREY J. HARD‡ Human harvest of phenotypically desirable animals from wild populations imposes selection that can reduce the frequencies of those desirable phenotypes. Hunting and fishing contrast with agricultural and aquacultural practices in which the most desirable animals are typically bred with the specific goal of increasing the frequency of desirable phenotypes. We consider the potential effects of harvest on the genetics and sustainability of wild populations. We also consider how harvesting could affect the mating system and thereby modify sexual selection in a way that might affect recruitment. Determining whether phenotypic changes in harvested populations are due to evolution, rather than phenotypic plasticity or environmental variation, has been problematic. Nevertheless, it is likely that some undesirable changes observed over time in exploited populations (e.g., reduced body size, earlier sexual maturity, reduced antler size, etc.) are due to selection against desirable phenotypes—a process we call “unnatural” selection. Evolution brought about by human harvest might greatly increase the time required for overharvested populations to recover once harvest is curtailed because harvesting often creates strong selection differentials, whereas curtailing harvest will often result in less * Division of Biological Sciences, University of Montana, Missoula, MT 59812; † School of Biological Sciences, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand; and ‡ Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, Seattle, WA 98112.
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In the Light of Evolution Volume III: Two Centuries of Darwin intense selection in the opposing direction. We strongly encourage those responsible for managing harvested wild populations to take into account possible selective effects of harvest management and to implement monitoring programs to detect exploitation-induced selection before it seriously impacts viability. Humans have exploited wild populations of animals for food, clothing, and tools since the origin of hominids. Human harvest of wild populations is almost always nonrandom. That is, individuals of certain size, morphology, or behavior are more likely than others to be removed from the population by harvesting. Such selective removal will bring about genetic change in harvested populations if the selected phenotype has at least a partial genetic basis (Table 7.1). For example, the frequency of elephants (Loxodonta africana) without tusks increased from 10% to 38% in South Luangwa National Park, Zambia, apparently brought about by poaching of elephants for their ivory (Jachmann et al., 1995). Similarly, trophy hunting for bighorn sheep (Ovis canadensis) in Alberta, Canada, caused a decrease in horn size because rams with larger horns had a greater probability of being removed from the population by hunting (Coltman et al., 2003). It has also been suggested that the greater difficulty of catching introduced brown trout (Salmo trutta) than native North American species of trout is the result of angling for brown trout in Europe for hundreds of years before their introduction to North America (Miller, 1957). Moreover, harvest need not be selective to cause genetic change; uniformly increasing mortality independent of phenotype will select for earlier maturation (Law, 2007). In agriculture, the practice for thousands of years has been to use the most productive animals (and plants) as breeding stock, with the goal of increasing the frequency of desirable phenotypes. Aquaculture has adopted similar objectives over its shorter history (Gjedrem, 2005). In contrast, the opposite has been true in the exploitation of wild animal populations. The most desirable individuals have been harvested, leaving behind the less desirable to reproduce and contribute genes to future generations. Therefore, harvest of wild populations has tended to increase the frequency of less desirable phenotypes in wild populations. There has been surprisingly little consideration of human-induced selection in the wild until recently [reviewed in Allendorf et al. (2008)]. Even more surprising perhaps is the absence of any detailed consideration of this effect by Darwin because he had such a passion for hunting as a young man. In several places, Darwin commented on the lack of wildness of birds on islands where they have not been hunted by humans (Darwin, 1958b, p. 231; 1962, p. 400). In his lengthy consideration of “Selection by
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In the Light of Evolution Volume III: Two Centuries of Darwin TABLE 7.1 Traits Likely to Be Affected by Unnatural Selection in Harvested Populations Trait Selective Action Response(s) Remedy Age and size at sexual maturation Increased mortality Sexual maturation at earlier age and size, reduced fertility Reduce harvest mortality or modify selectivity of harvest Body size or morphology, sexual dimorphism Selective harvest of larger or more distinctive individuals Reduced growth rate, attenuated phenotypes Reduce selective harvest of large or distinctive individuals Sexually selected weapons (horns, tusks, antlers, etc.) Trophy hunting Reduced weapon size or body size Implement hunting regulations that restrict harvest based on size or morphology of weapons under sexual selection Timing of reproduction Selective harvest of seasonally early or late reproducers Altered distribution of reproduction (truncated or altered seasonality) Harvest throughout reproductive season Behavior Harvest of more active or aggressive or bolder (more vulnerable to predation) individuals Reduced boldness in foraging or courtship behavior, potentially reduced productivity Implement harvest methods less likely to impose selection on activity or aggressive behavior Dispersal/migration Harvest of individuals with more predictable migration patterns Altered migration routes Interrupt harvest with key time and area closures tied to primary migration routes Man” (Darwin, 1896), Darwin considered in great detail the 3 types of selection that have produced domesticated plants and animals: methodological, unconscious, and natural, but he did not apply these principles to wild animals and plants. Nevertheless, he was aware that removing desirable animals by hunting could decrease the frequency of more desirable phenotypes, as indicated by the quote below. However, Darwin did not discuss the evolutionary consequences of hunting and how they might influence natural or sexual selection. “Natural” is sometimes defined as not being affected by human influence (Anonymous, 2008). We adopt the term “unnatural” to describe unintended selection through exploitation because it is imposed by human
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In the Light of Evolution Volume III: Two Centuries of Darwin activity in contrast to natural selection. Unnatural selection generally acts at cross purposes to the long-term goal of sustainable harvest of wild populations and can reduce the frequency of phenotypes valued by humans. Harvest can affect sexual selection because it tends to remove individuals with particular characteristics, such as large size or elaborate weapons from those of the breeding pool. Sexual selection can act in concert with natural selection on some of these same traits (as well as others), with complex results [e.g., Hamon and Foote (2005)]. Sexual and natural selection can act simultaneously to change the frequency of particular phenotypes, depending on the intensity of natural prebreeding mortality (e.g., through predation or disease), breeding density, and the characteristics of breeding adults (e.g., frequency-dependent selection). Because different environmental conditions and population features favor different phenotypes, natural and sexual selection can interact in complex ways in different places and at different times to affect the characteristics of successful breeders. The objective of this chapter is to summarize the consequences of unnatural selection and sexual selection in wild populations of animals (Fig. 7.1), outline why these consequences threaten future yield and population viability, and suggest some measures to address this problem. HISTORY OF UNNATURAL SELECTION So that the Incas followed exactly the reverse system of that which our Scottish sportsman are accused of following, namely, of steadily killing the finest stags, thus causing the whole race to degenerate. Darwin (1896, p. 192) Recognition that exploitation of wild animals can produce evolutionary change is not new. It was recognized for fishing by the late 19th century and for hunting by the early 20th century. However, few studies have been able to clearly document evolutionary response to exploitative selection, and the possibility that exploitation-induced evolutionary change can oppose adaptive responses to natural and sexual selection has not been widely appreciated. Nevertheless, Coltman (2008) argued that rapid contemporary evolution has now been shown to occur in response to invasive species, habitat degradation, climate change, and exploitation, and he went on to say that exploitation-induced evolution may well have the most dramatic impact of any of these anthropogenic sources of selection to date. Mace and Reynolds (2001) asked why sustainable exploitation is so difficult, and pointed to limits of biological knowledge and limits of control as the 2 primary factors that cause exploitation to be such a challenge for conservation.
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In the Light of Evolution Volume III: Two Centuries of Darwin FIGURE 7.1 Human harvest can have a variety of direct and indirect genetic effects on populations, and it has the potential to affect the future yield and viability of exploited populations.
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In the Light of Evolution Volume III: Two Centuries of Darwin Fisheries and wildlife managers have yet to adopt management strategies that guard against rapid evolutionary response to exploitation. Managers have focused on demographic parameters that affect population abundance and growth rate because their primary goal is sustainable yield in the short term. However, recognition is growing that evolution under exploitation can reduce population growth and viability and ultimately might reduce yield (Law, 2000; Milner et al., 2006). A recent analysis has concluded that phenotypic changes in response to human harvest are much more rapid on average than changes in natural systems (Darimont et al., 2009). Sustainable harvests will eventually require that fisheries and wildlife managers incorporate genetic principles into the management of wild populations. Allendorf et al. (2008) recommended that managers begin by acknowledging that exploitation produces some genetic change and implementing routine monitoring to detect harmful evolutionary change before it threatens productivity. Fish can be killed through fishing either as immature or mature individuals, depending on the characteristics of the individual fishery; the point in the life history at which fishing mortality is exacted has important ramifications for fisheries-induced evolution (Hard et al., 2008). The relatively high fecundities and high natural mortality rates, especially early in life, for many fishes, mean that although fishing mortality can be high in some years, it is not often as high as natural mortality. By contrast, hunting mortality is often substantially higher than natural mortality for adult game animals (Festa-Bianchet, 2003), a contrast that has important implications for evaluating the differences between fishing and hunting. Fishing Evidence is mounting that fish populations will not necessarily recover even if overfishing stops. Fishing may be such a powerful evolutionary force that we are running up a Darwinian debt for future generations. Loder (2005) Fish size is of primary interest to fishermen; larger fish are often of higher value. Larger, older fish can also contribute disproportionately to productivity through greater weight-specific fertility and larval quality [e.g., Sogard et al. (2008) and Venturelli et al. (2009)]. There are widespread accounts supporting claims that large fish were caught more frequently in commercial fisheries in the early years of those industries. For example, a gigantic Atlantic cod (Gadus morhua) weighing nearly 100 kg was caught off Massachusetts in May 1895, and large cod (>30 kg) were frequently taken from New England waters before 1900 (Jordan and Evermann, 1902).
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In the Light of Evolution Volume III: Two Centuries of Darwin Concern that removal of the larger individuals from breeding populations could affect populations emerged shortly after commercial fisheries for salmon expanded in the western United States in the late 19th century. In California, Rutter (1904) speculated that salmon fisheries might enhance representation of smaller, younger fish among breeding males and that removal of larger adults could eventually reduce adult size and fishery yield. Smith (1920) stated that capture of immature fish in ocean salmon fisheries could reduce future yield if maturation became earlier under such fishing mortality. However, others such as Miller (1957), although acknowledging the potential of evolutionary response to selective fishing, apparently believed that the extensive plasticity of growth and maturation would mitigate against selection for rapid growth and early maturation of fish like salmon. Nevertheless, some scientists remained concerned about deleterious fisheries-induced evolution. Handford et al. (1977) stated that management was “seriously deficient in [its failure] to take into account the possibility of adaptive genetic change in exploited stocks of fish.” In the last few years, such concerns about capture fisheries for a variety of species have escalated (Birkeland and Dayton, 2005; Law, 2007; Fenberg and Roy, 2008; Hutchings and Rowe, 2008). Nevertheless, in large part because direct evidence for fisheries-induced evolution in specific cases remains elusive (Hard et al., 2008), fishery management almost nowhere yet incorporates evolutionary considerations: Fisheries are managed on the basis of demographic considerations alone—primarily adult abundance. Unfortunately, fisheries tend to impose selection that alters distributions of characteristics that affect fitness and population viability, principally through removal of larger and older fish that differ in growth, development, and reproductive characteristics. To the extent that size, age, and correlated traits in such fish are heritable (Walsh et al., 2006; Law, 2007; Carlson and Seamons, 2008), fishing selection will tend to reduce means and alter variability for these traits over time. This form of selection is thought to oppose natural and sexual selection on these traits, and the fisheries-induced evolution that is likely to result from such selection will favor trait phenotypes among breeders that differ substantially from those targeted in fisheries (Naish and Hard, 2008). That is, fisheries-induced evolution will tend to proceed along a trajectory that is counter to one that maintains trait combinations desirable to fishermen. Exploitative selection imposed by fishing tends to reduce the frequency of desirable phenotypes through directional selection for alternative phenotypes, unlike other human-induced forms of selection, such as domestication, which often produce maladapted phenotypes indirectly by favoring alternative optima through alteration of the natural selection regime [e.g., Araki et al. (2007)].
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In the Light of Evolution Volume III: Two Centuries of Darwin Recreational fisheries can also bring about a genetic response to angling. However, there has been little work done in this area. Some authors have reported differences in angling vulnerability between domestic and wild strains of fish (Beukema, 1969; Biro et al., 2004). Biro and Stamps (2008) argued that behaviors such as boldness and activity, which are often correlated with growth rate, are likely to affect productivity and could respond to selective mortality. Philipp et al. (2009) reported differences in hook-and-line angling vulnerability between individual largemouth bass (Micropterus salmoides) in a wild population. The authors estimated a realized heritability of 0.15 through a 3-generation selection experiment. Few studies have estimated the intensity of selection that fishing exerts. Although mortality of fish caught in many fisheries tends to increase with fish size, producing negative selection differentials (Falconer and Mackay, 1996), these estimates also appear to vary substantially from place to place and over time (Handford et al., 1977; Ricker, 1981; Law and Rowell, 1993; Sinclair et al., 2002; Hindar et al., 2007; Hard et al., 2008; Hilborn and Minte-Vera, 2008) and between the sexes (Hamon et al., 2000). Kendall et al. (2009) estimated standardized selection differentials for a 60-year dataset of Bristol Bay sockeye salmon (Oncorhynchus nerka) and found that selection intensity often differed substantially between sexes of returning fish and among years, although selection was generally higher on larger fish (especially females). Hard et al. (2008) concluded that estimates of selection intensity resulting from fishing were generally modest and typically less than the few estimates of natural and sexual selection differentials that have been reported for species like Pacific salmon (Fleming and Gross, 1994; Hamon, 2005; Hamon and Foote, 2005; Ford et al., 2008). Nevertheless, even fisheries that are not highly selective are expected to produce evolutionary change if fishing mortality is high enough (Policansky, 1993). Estimates of natural selection gradients in salmon, for example, can vary widely but are typically in the range of 0.5 standard deviations (SD) or less [e.g., Ford et al. (2008)]. Hamon and Foote [(2005); see also Hamon (2005)] estimated standardized sexual selection differentials on morphology and run timing that ranged between −0.14 and +0.52 (linear) and between −0.29 and +0.1 (nonlinear), and sexual selection gradients on these traits that ranged between −0.16 and +0.33 (linear) and between −0.33 and 0 (nonlinear). Total selection estimates that combined natural and sexual selection intensities tended to be smaller, in general, and sexual selection on morphology was often stronger than natural selection. Furthermore, several of the predicted consequences of selective fishing (such as earlier maturation and greater reproductive effort) are similar to those expected from ecological changes after a decrease in population density.
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In the Light of Evolution Volume III: Two Centuries of Darwin For this reason, ecological and evolutionary responses are usually difficult to tease apart with temporal phenotypic trends alone. Nevertheless, selection of this intensity is not inconsistent with estimates of natural selection in nature (Kingsolver and Pfennig, 2007) and might be sufficiently strong to produce rapid evolutionary change in many cases. In their long-term study of Windermere pike (Esox lucius) in England, Edeline et al. (2007) contrasted temporal patterns of natural and fishing selection on this species; it was the first study to relate these patterns to long-term trends in life-history characteristics of wild fish (Coltman, 2008). They estimated a substantial, fishing-induced negative selection differential on the reaction norm describing variation in gonad weight/body length, a measure of reproductive investment, in age-3 females. The temporal dynamics of life history appear to reflect the combined influences of a half century of natural and fishing selection; growth rate and reproductive investment at younger ages tended to decline during periods of higher exploitation, a pattern that diminished when fishing rates eased. Hunting I suggest that minimizing the impact of sport hunting on the evolution of hunted species should be a major preoccupation of wildlife managers. Marco Festa-Bianchet (2003) Like fishery managers, wildlife managers have typically placed a primary emphasis on the demographic consequences of hunting, with little direct consideration of potential evolutionary effects (Rhodes and Smith, 1992). European wildlife managers have paid more attention than their North American counterparts to the selective effects of hunting, and hunting in Europe has often targeted specific phenotypic characteristics of game; as a result, European hunting regulations are typically more specific than American regulations (Harris et al., 2002; Festa-Bianchet, 2003). Game and especially trophy hunting generally differ from fishing in several ways. For example, key aspects of the life histories of the 2 groups of animals often differ. Game hunting often focuses on animals with relatively low reproductive output, and relatively low natural mortality rates; many fishes have higher fecundities and higher natural mortality rates than game animals. We expect that hunting selection could have a considerable effect on the evolution of adult characteristics, particularly those in prime-aged adults under sexual selection because hunting mortality is often substantially higher than natural mortality for adult game animals (Festa-Bianchet, 2003; Gaillard et al., 2003). Virtually all hunting invokes selective elements of some kind. These elements are often associated with particular phenotypic characteristics
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In the Light of Evolution Volume III: Two Centuries of Darwin such as body size, coat color, and weapons or ornaments such as horns and antlers. As is the case for fishing, hunting for many animals can produce the paradoxical situation of selecting against the traits that are preferred by hunters (Festa-Bianchet, 2003). Because variation in many of these traits has an appreciable genetic component (FitzSimmons et al., 1995; Hartl et al., 1995; Moorcroft et al., 1996; Lukefahr and Jacobson, 1998), such selection is likely to produce detectable evolutionary responses that reduce the ability of breeders with desirable characteristics to contribute to reproduction (Mills, 2007). Harris et al. (2002) argued that available information is sufficient to recommend hunting patterns that minimize deviations of sex- and age-specific mortality rates from natural mortality rates. Harris et al. (2002) and Allendorf et al. (2008) identified 3 primary genetic consequences of hunting: alteration of population structure, loss of genetic variation, and evolution resulting from selection. These general consequences apply to all forms of human exploitation. An early study by Voipio (1950) was one of the first to show that the genetic consequences of selective hunting were likely to vary with the phenotypic characteristics of the hunted animals. In a simple, discrete-locus simulation of harvest of antlered male red deer (Cervus elaphus), Thelen (1991) demonstrated how the frequency of alleles influencing large antler size, and therefore the yield of trophy males, would decline under different harvest management strategies. With regard to the loss of genetic diversity that can result from hunting mortality, Harris et al. (2002) and Allendorf et al. (2008) focused on the relationship between harvest and decline in heterozygosity or allelic diversity and how they are reflected in reduced effective population size (Ne) and the ratio of Ne to census size (Nc). These metrics are important indicators of a population’s evolutionary potential, and substantial reductions in them can indicate unsustainable practices. Several key population characteristics can affect genetic variability and adaptive potential. In most ungulates, for example, breeding population size, generation length and adult longevity, and mating structure, including the breeding sex ratio and harem size, can have a large influence on the dynamics of genetic and phenotypic variation under exploitation (Ryman et al., 1981; Martinez et al., 2002; Mysterud et al., 2002; Wade and Shuster, 2004). Exploitation tends to skew the breeding sex ratio (Clutton-Brock and Lonergan, 1994) and reduce adult longevity, especially of males, and mean male reproductive success and variance in progeny number per family. However, sex ratio can also be sensitive to population density (Kruuk et al., 1999; Bonenfant et al., 2003). These factors have a direct influence on Ne. If the mean generation length differs for males and females, which is common for several of these species, exploitation can also contribute to a reduction in Ne. The consequences of reduced Ne for adaptive
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In the Light of Evolution Volume III: Two Centuries of Darwin potential can be serious, but they depend critically on the characteristics of the life history (Lande and Barrowclough, 1987). The reduction in the frequency of the silver morph in the red fox (Vulpes vulpes) between 1834 and 1933 in eastern Canada was perhaps the first documented change over time resulting from selective harvest (Elton, 1942). J. B. S. Haldane used these data to provide one of the first estimates of the strength of selection in a wild population using his then recently developed mathematical models of the effects of selection on a single locus (Haldane, 1942). The fur of the homozygous silver morph (RR) was worth approximately 3 times as much as the fur of the cross (Rr) or red (rr) fox to the furrier, and, therefore, was more likely to be pursued by hunters. The fur of the heterozygous cross fox (Rr) was smoky red and was classified as red in the fur trade. The frequency of the desirable silver morph declined from ≈16% in 1830 to 5% in 1930 (Fig. 7.2). Haldane (1942) concluded that this trend could be explained by a slightly greater harvest rate of the silver than the red and cross phenotypes. The lines in Fig. 7.2 show the expected change in phenotypic frequencies, assuming that the relative fitness of the silver phenotype was 3% less than both the red and cross phenotypes, and the generation interval was 2 years. FIGURE 7.2 Reduction in frequency of the silver morph of the fox in eastern Canada resulting from the preferential harvest by hunters of the more valuable silver morph (Elton, 1942; Haldane, 1942). The points represent data presented by Elton (1942). The lines represent the expected change in frequencies of the 3 phenotypes via selection at a single locus, assuming that the silver fox morph has a 3% survival disadvantage per generation relative to the red and cross morphs. The initial frequency of the R allele was 0.3 and the mean generation interval was 2 years (Haldane, 1942).
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In the Light of Evolution Volume III: Two Centuries of Darwin For roe deer, Hartl et al. (1991) concluded that the intensity of harvest influenced the degree of selection against large body size, larger number of antler points and yearling males with small spikes; harvest intensity also affected the length of the antler main beam and produced changes in allele frequencies [see also Malo et al. (2005)]. For mountain sheep, Coltman et al. (2003) showed that harvest of trophy rams led to selection for lighter and smaller-horned rams. Different hunters invoke different methods in being selective, and Martínez et al. (2005) argued that the urge for hunters to kill males with large antlers and to maximize opportunity to be selective by hunting early in the season were primary motivations. Mysterud et al. (2006) found that hunter type (local vs. “foreign”) provided substantial variation in terms of temporal and spatial components of hunting activity, and that although the activities of the different hunter types influenced the relationship between age and antler mass, much of this influence arose from variation in the timing and location of hunting. In their simulation of the evolution of exploited red deer, Hard et al. (2006) found that selective hunting could reduce Ne and Ne/Nc if annual hunting mortality of males is high enough (>25–30%), and they concluded that reducing hunting mortality on males to keep breeding stag:hind ratios during the rut sufficiently high (≥18 stags:100 hinds) is important to maintain adequate Ne and, therefore, long-term adaptive potential. They also found that size-selective hunting is likely to result in only modest short-term evolutionary changes in life-history traits unless the annual harvest rate on males is high (>30%) or realized genetic variance components were large. Coltman et al. (2003) used a quantitative genetic analysis of a reconstructed pedigree for a wild population of Canadian bighorn sheep to show how hunting selection affected body weight and horn size. They showed that selection was most intense against rams with high breeding values because of hunter preference for large rams with large horns, with the consequence that breeding values for both ram traits declined steeply over 35 years. Because both traits are highly heritable and positively genetically correlated (Coltman et al., 2003), continued selection against large rams with large horns is expected to directly reduce horn size with a correlated response in reduced body mass. Such selection will reduce the frequencies of these phenotypes to lower levels, with likely adverse consequences for male breeding success. Both ram weight and horn size are undoubtedly subject to sexual selection through male-male competition during the rut, but it is unclear to what extent such sexual selection can alter the rate of evolution under hunting selection because sexual selection gradients have not been estimated. However, they must be high for some heavily hunted populations, where heritabilities for traits under selection are high and observed temporal declines in breeding values for
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In the Light of Evolution Volume III: Two Centuries of Darwin these traits are often substantial [e.g., Coltman et al. (2003)]. Garel et al. (2007) found similar patterns in morphology and life history resulting from trophy ram hunting in Europe. Exploitation by Specimen Collectors Understanding the response of consumers and hunters to perceived rarity is vital for predicting the impact of intervention strategies that seek to minimize extinction risk. Hall et al. (2008) Another human activity that can impose exploitative selection on wild populations is specimen collecting, whether for private, commercial, or scientific use. The actions of collectors, which most commonly target vertebrates, such as tropical fishes, and invertebrates, such as arthropods and gastropods, could impose selection on wild populations through the removal of specimens conspicuous by their large size and appearance. Such selection is likely to be effective when populations are rare, phenotypes are dramatic, and opportunity for harvest by humans is substantial. Highly selective collection practices could affect the sustainability of these trades and the conservation of rare species (Slone et al., 1997; Hall et al., 2008). Terrestrial snails are one of the most imperiled groups in the world, and overcollecting has been one of the major threats to many of these species. For example, collecting of live tree snails (Liguus and Orthicalus spp.) found on isolated hardwood hammocks in the Florida Everglades began in the early 19th century and peaked in the 1940s before regulations were enacted because of conservation concerns (Humes, 1965). The loss of prized forms led collectors to translocate valuable morphs to places unknown to other snail collectors (Humes, 1965). In addition, collection of especially attractive morphs was competitive so that some attractive morphs were purposefully overcollected because they were more valuable when they became rare. Similarly, major snail collecting took place in the late 19th and early 20th centuries in Hawaii, focusing on the brightly colored and variable Achatinellinae tree snails. Overcollecting did lead to extinctions, but it is unknown if there was any differential selective effects on morphs (Hadfield, 1986). In Moldova, Andreev (2006) compared land snail (Helix pomatia) characteristics from exploited and unexploited sites and found that sites where land snails were exploited for food had much lower densities and a higher proportion of adult snails than sites that were not exploited. Specimen collecting can therefore provide an opportunity for selection that might reduce population viability.
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In the Light of Evolution Volume III: Two Centuries of Darwin SEXUAL SELECTION Fishing techniques could remove certain sexes or sizes of squids, thus leading to “unnatural” sexual selection processes that affect recruitment. Hanlon (1998) Sexual selection has been largely overlooked as a factor that can influence evolution under exploitation. In an important article, Hutchings and Rowe (2008) concluded that the effects of fishing on the distributions of traits subject to sexual selection in an Atlantic cod life history could have a major impact on the rate and magnitude of fisheries-induced evolution. How mating systems influence the resistance of wild animals to collapse under exploitation and their ability to rebound when conditions improve remains an open question. Rowe and Hutchings (2003) suggested that mate competition, mate choice, and other components of mating systems are almost certain to have an impact on population growth rate at low levels of abundance. For example, if larger individuals enjoy greater reproductive success, sexual selection for increased body size could counter selection against larger size imposed by fishing. Selective harvest can directly affect mating and have a strong effect on subsequent recruitment because it tends to remove individuals with particular characteristics, such as large size or elaborate weapons from those of the breeding pool (Kingsolver et al., 2001). Hunting and fishing often impose direct selection against particular phenotypes by targeting individuals with sexually selected characters (e.g., antlers, horns, hooked jaws on salmon, or deep bodies). These activities can also indirectly alter sexual selection by affecting the distributions of traits under sexual selection (Hanlon, 1998; Walsh et al., 2006) by decreasing population size, or by favoring earlier maturation at the expense of later-maturing individuals [e.g., Hard et al. (2008)]. In this way, exploitative selection can change both the means and variability of traits that determine mating and reproductive success. For example, reducing the maximum and compressing the variation in body size of breeding adults through exploitation is likely to change the dynamics of courtship and mate selection, and it might reduce overall mating success and productivity as well. Harvest can also affect sexual selection by modifying the ratio of males and females available for mating. Hunting regulations for most mammal and bird species have traditionally favored greater harvest rates for males. Sex ratios of less than 1 adult male per 10 adult females are not uncommon in species where males are selectively hunted (Harris et al., 2002). Fishing also can produce biased sex ratios if one sex is larger than the other or is geographically more vulnerable to fishing (Vincent and Sadovy, 1998). Theory predicts that the more abundant sex will become
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In the Light of Evolution Volume III: Two Centuries of Darwin less choosy in mate choice and more aggressive in competition for mates (Emlen and Oring, 1977). Estimates of sexual selection in large mammals where some populations are subjected to hunting are relatively uncommon, but they evidently can be large. Sexual selection on male phenotypes is expected to be strongest when there is intense competition among males for mates, as when the operational sex ratio is highly skewed toward males (Emlen and Oring, 1977). For example, Kruuk et al. (2002) estimated large total (natural plus sexual) selection gradients on antler weight and leg length in unhunted male Scottish red deer. Lifetime breeding success was positively correlated with antler weight. In an elasticity path analysis that links selection gradients between phenotypes and components of fitness with the contributions of these components to population growth rate (mean absolute fitness), Coulson et al. (2003) estimated selection gradients on a number of life history traits in unhunted red deer, including survival rates, birth date, and birth weight. They showed that, although many of them were statistically significant, most estimates varied widely over time, presumably in response to environmental and ecological factors that differ in importance in different years. Some investigators have suggested that the effects of selection for smaller body size associated with fishing or hunting might be countered by sexual selection favoring larger individuals (Hutchings and Rowe, 2008). Fig. 7.3 depicts a hypothetical example to illustrate how sexual and natural selection might affect evolution in response to exploitative selection in sockeye salmon. In this case, combined natural and sexual selection impose a selection gradient on a bivariate phenotype that opposes the selection gradient imposed by exploitation. As a result, a suboptimal phenotype in the wild breeding population can increase in frequency as the effectiveness of natural and sexual selection is reduced. Intense sexual selection can be common in populations of spawning salmon (Quinn, 2005). The intensity of sexual selection might be diminished when fishing mortality is high because of reduced population sizes and human activities that have increased the cost of migration and changed the balance between natural and sexual selection. As migration becomes more difficult, individuals have less energy to devote to secondary sexual characteristics (Kinnison et al., 2003), which can further erode the strength of sexual selection beyond the effects related solely to smaller population size. What are the possible long-term effects of reduced sexual selection that might ensue from continued exploitation? One possibility is reduced genetic quality of progeny resulting from relaxed sexual selection and reduced female mate choice [e.g., Drickamer et al. (2000) and Neff and Pitcher (2005)]. Pitcher and Neff (2007) found in their breeding study of
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In the Light of Evolution Volume III: Two Centuries of Darwin
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In the Light of Evolution Volume III: Two Centuries of Darwin Chinook salmon (Oncorhynchus tshawytscha) that additive and nonadditive genetic effects together increased survival of fish during early development by nearly 20%. They concluded that incorporating information on genetic quality of parents into breeding designs could increase survival by some 3 times over designs that exclude sexual selection processes by relying on random mating alone. IMPLICATIONS Several authors (Law, 2000; Harris et al., 2002; Coltman et al., 2003; Allendorf et al., 2008) have recently emphasized that selection is an important but often ignored consequence of human exploitation of wild animals and that adaptation to exploitation can produce undesirable evolutionary change. Fisheries and wildlife management that does not incorporate evolutionary considerations is at risk of reducing wild productivity and eventual yield because exploitation removes phenotypes that might be those most favored by natural and sexual selection in the wild. Accounting for selection that is at odds with natural adaptive processes is therefore an important component of a comprehensive and effective sustainable management strategy. For this situation to change, at least 3 questions must be addressed: What are the primary genetic consequences of exploitation, and what is the evidence for them? Do these consequences influence FIGURE 7.3 Potential consequences of natural, sexual, and fishing-induced selection in exploited sockeye salmon. (A) Typical morphological phenotypes for adult male and female sockeye salmon. BL, body length; BD, body depth. (B) Hypothetical relative fitness, as measured by reproductive success, among breeders that vary in body length and body depth. (Top) Sexual selection favors individual breeders with higher BL and BD phenotypes. (Middle) Natural selection favors individual breeders with intermediate BL and larger BD phenotypes. (Bottom) Individuals with larger values of BL and especially BD are more vulnerable to fishing mortality. (C) Potential evolution of the genetic covariance matrix (G) for the bivariate body length (BL)–body depth (BD) phenotype under combined natural, sexual, and fishing-induced selection. The box represents the bivariate adaptive landscape [in the sense of Simpson (1953)]. G is represented by the oval. Under natural and sexual selection on BL and BD in the absence of fishing, G will tend to move toward the “global” optimum bivariate phenotype A. When the population is subjected to substantial selective fishing mortality that targets potential breeders of larger BL and BD, G will tend to move toward the “local” alternative optimum bivariate phenotype A*. Natural and sexual selection impose a selection gradient on the bivariate phenotype, which tends to oppose the selection gradient imposed by selective fishing. The result is a suboptimal phenotype in the wild breeding population that might deviate substantially from A. Note the difference in elevation and steepness of fitness for the 2 alternative fitness optima.
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In the Light of Evolution Volume III: Two Centuries of Darwin demography in a way that would affect yield and concern managers? How effective can management be in detecting and countering these effects? Recently, promising strides have been made to address the first question but the evidence is still largely circumstantial [e.g., Hard et al. (2008)]. The other questions have seldom been addressed directly except through simulation [e.g., Bromaghin et al. (2008) and Hard et al. (in press)]. Sustainable Harvest Sustainable exploitation requires that phenotypic changes induced by harvest do not appreciably reduce yield and viability. Although we cannot be certain that many of the observed phenotypic trends in a variety of exploited animals are solely the result of exploitative selection, it would be imprudent to assume that such selection has not had an effect. The coupling of such trends with evidence for reduced productivity and yield is reason enough to adopt a risk-averse approach in considering sustainable harvest practices. One means of maintaining viability is by reducing selectivity in exploitation; assuming that the level of exploitation is not so high that it poses excessive demographic risk, reducing selectivity ameliorates the potential for selection to erode viability through phenotypic evolution. It also maintains the opportunity for natural and sexual selection to maximize reproductive fitness. Sustainable harvest practices require adequate monitoring of traits that are sensitive to selection and influence viability (Allendorf et al., 2008), and promote management that maintains breeding populations that are large and diverse enough to foster the full range of phenotypes that natural and sexual selection can act on (Hutchings and Rowe, 2008). Moreover, sustainable management strategies should adapt quickly and appropriately to detected changes (Kuparinen and Merilä, 2007). Recovery Recovery after relaxation, or even reversal, of selective harvest is likely to be slower than the initial accumulation of harmful genetic changes (Heino, 1998). This is because harvesting can create strong selection differentials, whereas relaxation of this selective pressure will more often produce weaker selection in the opposing direction (Swain et al., 2007). De Roos et al. (2006) used an age-structured fishery model to show that exploitation-induced evolutionary regime shifts can be irreversible under likely fisheries management strategies such as belated or partial fishery closure. Swain et al. (2007) concluded that human-induced adaptation to fishing may be a primary reason for lack of recovery of northwest Atlantic cod because harvest has been reduced after the collapse of this
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In the Light of Evolution Volume III: Two Centuries of Darwin fishery. This effect has been termed “Darwinian debt,” and has been suggested to have general applicability (Loder, 2005). That is, timescales of evolutionary recovery are likely to be much longer than those on which undesirable evolutionary changes occur. Conover et al. (2009) provided the first experimental test of this expectation with laboratory populations of Menidia menidia. They found that the selective effects of fishing were reversible, but recovery took more than twice as many generations as the original period of fishery selection. Bromaghin et al. (2008) and Hard et al. (in press), in their simulation studies of Chinook salmon, found that complete recovery of size and age structures generally required 15–20 generations or more of substantial reductions in exploitation rate or no harvest at all. However, gene flow has the potential to accelerate the rate of recovery by restoring alleles or multiple-locus genotypes associated with the trait. For example, trophy hunting might reduce or eliminate alleles for large horn size, but gene flow from areas with no hunting might quickly restore alleles associated with large horn size (Coltman, 2008). No-take protected areas have considerable potential for reducing the effects both of loss of genetic variation and harmful exploitative selection. Models of reserves in both terrestrial (Tenhumberg et al., 2004) and marine (Baskett et al., 2005) systems support this approach for a wide variety of conditions. However, the actual effectiveness of such reserves on exploited populations outside of the protected area depends on the amount of interchange between protected and nonprotected areas and on understanding the pattern and drivers of dispersal, migration, and genetic subdivision (Palumbi, 2003; Kritzer and Sale, 2004). Some have suggested that as exploitation pressure intensifies outside protected areas, local protection could select for decreased dispersal distance and thereby increase isolation and fragmentation and potentially reduce the genetic capacity of organisms to respond to future environmental changes (Dawson et al., 2006). ACKNOWLEDGMENTS We dedicate this chapter to Hampton Carson who failed through no fault of his own to convince F.W.A. of the importance of sexual selection in the conservation of salmon. We thank Joel Berger, Steve Chambers, Dave Coltman, Roger Cowley, Doug Emlen, Marco Festa-Bianchet, Mike Ford, Roger Hanlon, Rich Harris, Wayne Hsu, Dan Jergens, Gordon Luikart, and Robin Waples for providing references and helpful comments. This article is based partially on work supported by the U.S. National Science Foundation Grant DEB 074218 (to F.W.A.) and by the Arctic-Yukon-Kuskokwim Sustainable Salmon Initiative Project 607 (to J.J.H.).
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