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AMER. ZOOL., 21:795-811 (1981) Population Variation in Continuously Varying Traits as an Ecological Genetics Problem1 P. R. GRANT AND T. D. PRICE Division of Biological Sciences, The University of Michigan, Ann Arbor, Michigan 48109 SYNOPSIS. The niche variation hypothesis is an adaptive explanation for variation within populations and for,the differences in variation between populations in morphological, physiological or behavioral traits. It has received only partial support from empirical tests and has been criticized on theoretical grounds. Recent quantitative genetic models have made an advance by exploring the effects of mutation, migration, mating pattern and selection on phenotypic variance. These models are reviewed and their most important features are integrated in a new model. In this model population variation is in a state of balance between the opposing forces of mutation and immigration, which tend to elevate variation, and selection and possibly genetic drift tending to decrease it. Populations exhibiting different levels of variation are interpereted as having different equilibrium points, and it is the task of empirical studies to determine the relative magnitudes of the opposing factors. An example is given from studies of Darwin's finches. Ceospiza fortis varies more than G. scandens on Isla Daphne Major, Galapagos, in several morphological traits including beak and body size. This is explained, assuming equal mutation rates in the two species, as the result of more frequent genetic input to the G. fortis population, through occasional hybridization with immigrant G. fuliginosa, and relaxed stabilizing selection. Stabilizing selection is less intense on G.fortis than on G. scandens because the G.fortis population has a broader niche; there is both a within-phenotype and betweenphenotype component to the broad niche of G.fortis. The success of theory in explaining population variation is discussed, and it is concluded that empirical studies lag far behind theory. INTRODUCTION ecologically important traits. For example, additive genetic components of total phenotypic variance have been determined in crustacean egg sizes (McLaren, 1976), avian clutch sizes (Perrins and Jones, 1974), dipteran larval development times (Istock et al., 1976) and dispersal distance from birth place to breeding place in birds (Greenwood et al., 1979). This means that selection may be pervasive rather than rare, and that averages are not necessarily fixed. It also means that population variation is a subject worthy of study in its own right. In this paper we will review the major explanations for the maintenance of continuous variation and for the fact that populations differ in variation for a given trait. Since we will be concerned solely with continuous variation we will ignore sexual dimorphism, a special type of population variation that may have relevance to our primary question (Selander, 1966; Soule and Stewart, 1970; Rothstein, 1973), because it may alternatively be the product 1 From the Symposium on Theoretical Ecology pre- of sexual selection or of natural selection sented at the Annual Meeting of the American So- associated with differing reproductive ciety of Zoologists, 27-30 December 1980, at Seattle, roles of the sexes (Searcy, 1979; Lande, Washington. Ecologists are generally preoccupied with the average characteristics of organisms, tending to view variation about the mean as a nuisance in the search for precision (Grant, 1976). For many purposes this is an appropriate attitude, as for example when the goal of a study is to determine how various demographic parameters contribute to the intrinsic rate of increase of a population. It is not appropriate to view variation among organisms in this way when the goal is to understand why the population has these particular demographic parameters. In this case an evolutionary answer is sought, and can be obtained by direct study of the effects of environmental factors on variation in population growth characteristics if such variation is heritable. Recent studies give cause for optimism that detectable heritable variation occurs in many organisms in many 795 796 P. R. GRANT AND T. D. PRICE 1980a). We will be concerned principally with morphological traits, since these have been investigated most often, but our discussion is fully applicable to ecological traits which vary continuously. We will concentrate on models which are amenable to testing. We find some explanations to be unlikely on theoretical grounds, and others to be not directly testable. We conclude by presenting a synthetic model and show how it can be used. T H E ADAPTIVE VARIATION HYPOTHESIS Van Valen (1965) offered an adaptive explanation for population variation. He was concerned with the apparent conflict between population adaptation in the short term and adaptability in the long term (see Mayr, 1963, chs. 8 and 9; Dobzhansky, 1970; also Thoday, 1953; Mather, 1953). If a single phenotype has maximum fitness, selection will be directed against deviant phenotypes and thus a phenotypic load will be incurred, with implications for population size and survival (Crow, 1970; Wallace, 1970; Bulmer, 1980; Lande, 1980a). To the extent that the variation is heritable, there will also be a tendency towards reduction of that variation (Lande, 1976). Yet heritable variation maximizes the probability of longterm population survival in a changing environment. Van Valen (1965) suggested that there is no single optimum phenotype. Instead, variants in the population are supposed to have similar fitnesses by virtue of their ability to differentially utilize parts of the population's niche. Under these circumstances there will be little or no load, the population will be polymorphic (polytypic) and its size may be greater than that expected if it consisted solely of a single phenotype. Van Valen's suggestion has become known as the niche variation hypothesis, but we will refer to it as the adaptive variation hypothesis because we believe this is both more general and more meaningful. Empirical tests of the adaptive variation hypothesis In general the hypothesis has been tested by comparing populations exploit- ing niches which are considered a priori to differ in size. Then, to the extent that some populations consist of specialist phenotypes (Van Valen and Grant, 1970; Roughgarden, 1974), the prediction is that those populations occupying wide niches will vary more in traits functionally related to the niches than those occupying narrow niches. Birds have been employed most often in tests, the traits being bill, tarsus and body weight which have adaptive correlates that are readily interpretable, at least interspecifically (Grant, 1965; Hespenheide, 1973). Subjected to these tests, the hypothesis has met with some success (e.g., Van Valen, 1965; Fretwell, 1969, 1977; Rothstein, 1973; Grant et ai, 1976; Abbott et al., 1977; Lister, 1977; Davidson, 1978; Abbott, 1978; Bernstein, 1979) and some failure (e.g., Willson, 1969; Soule, 1972; Soule and Stewart, 1970; Abbott, 1973; Willson et al., 1975; Keast, 1976). This mixed success has stimulated debate on five aspects of the tests. First, statistical procedures for testing morphological variation have been questioned (Banks, 1970; Rothstein, 1973; Dow, 1976; Lande, 1977a). Second, the choice of populations to compare has been criticized on the grounds of inappropriateness (Van Valen and Grant, 1970; Beever, 1979; Grant, 1979a, b). Third, tests involving poikilotherms such as fish (Keast, 1977) and lizards (Roughgarden, 1972, 1974) are complicated by slow and often intermittent and indeterminate growth. These complications provide a non-genetic explanation for differences between phenotypes within populations, and can therefore result in trivial explanations of differences in variation between populations (Lister and McMurtie, 1976). Fourth, the difficulties of defining niche width unambiguously have been discussed by Soule and Stewart (1970) and Beever (1979). This last area of concern reflects the fact that most tests have been indirect. Niche width has been defined by the number of habitats or associations of vegetation occupied (Van Valen, 1965), by the abundance of a population on the assumption of a positive correlation between popula- POPULATION VARIATION • # tion size and niche width (Rothstein, 1973; see also McNaughton and Wolf, 1970), or by the number of sympatric competitor species on the assumption of a negative correlation between this number and niche width (Rothstein, 1973). Fifth, the estimation of population variation has been confounded to an unknown extent by the lumping together of geographically differentiated samples of dead (Museum) specimens in some cases (Soule and Stewart, 1970; Beever, 1979; Grant, 1979a, b; Wiens and Rotenberry, 1980). These empirical problems can be surmounted if careful attention is given to the relevant niche parameters of living individuals of known phenotype in the population (Fretwell, 1969, 1977; Grant et al., 1976; Bernstein, 1979; Davidson, 1978). However, there still remain problems with the hypothesis itself; it does not specify the mechanisms of change in population variation or the precise conditions under which specialization of phenotypes is to be expected (Grant et al., 1976). Soule and Stewart (1970) concluded that the hypothesis as stated is virtually irrefutable. A major reason for this is that the causal connections between environment and organisms have not been developed sufficiently for the hypothesis to make clear-cut predictions (Morse, 1971). This is a serious problem because unexpected results can be easily rationalized. Thus the status of the adaptive variation hypothesis hangs in the balance and it is in danger of death through neglect as a result of confusion in the empirical tests and theoretical inadequacies. We therefore turn to recent theoretical models which have been developed to explore the conditions and mechanisms for the maintenance of continuous variation, and which can be modified to account for differing levels of variation between populations. AN EXPLICIT POPULATION-GENETIC APPROACH ™ There is no shortage of population-genetic models, but they are not all equally useful to an ecologist. We will consider a class of models which make common assumptions that are derived from the theory and results of arti- 797 ficial breeding experiments (Falconer, 1960; Bulmer, 1980). Total phenotypic variance is partitioned into genetic and non-genetic (environmental) components. Often a large part of the non-genetic com-' ponent is not attributable to specific environmental variation (Falconer, 1960, pp. 143-149) and can be referred to as developmental noise. This will always be present. The genetic variance is partitioned into additive and non-additive components. The additive component is important because it is that cause of the resemblance between relatives which determines the response to selection. In domestic animals the proportion of the total variance that is additively genetic {i.e., the narrowsense heritability) varies from 0.1 to 0.6 for a variety of characters (Falconer, 1960, ch. 10). Henceforth we will use the term heritability to mean heritability in the narrow sense. Heritability estimates for wild bird populations are given in Table 1, and all are high. Genotype-environment correlations have been partially disentangled in two studies (Smith and Dhondt, 1980; Van Noordwijck et al., 1980), and have been shown to be unimportant. Directional selection It has been suggested that when characters are under directional selection variation may be "transiently released," through either the breakdown of canalization (Soule and Stewart, 1970) or the increase in frequency of rare alleles (Fisher, 1937). Canalization refers to the reduction in phenotypic variation between two developmental bounds or thresholds (Waddington, 1957). Either there is no variation between the thresholds, as in some cases of discretely varying traits (Rendel, 1967, 1979), or there is less variation between the thresholds than outside them, as occurs in continuously varying traits. A breakdown in the canalization of continuously varying traits may not be of sustained importance in nature, because in artificial breeding experiments the thresholds are reached apparently only when the population has low mean fitness, for example under extreme nutritional stress (Waddington, 1957), or after prolonged and strong directional (artificial) selection (Falconer, 1960). In di- 798 P. R. GRANT AND T. D. PRICE TABLE 1. Heritabilities (estimated by mid-parent offspring regression) in wild bird populations. Weight Bill length Bill depth Tarsus length Medium ground finch, Geospiza fortis Large cactus ground finch, Geospiza conirostns Cactus ground finch, Geospiza scandens 85 95 .62 .48 .82 66 .43 .87 70 .51 .16 .77 Great tit, Parus major 59 — — .76 Van Noordwijk et al. (1980); Garnett (1981) Song sparrow, Melospiza melodia .04 .33 .51 .32 Smith and Zach (1979) Boagand Grant (1978) Grant (19816) Boag(1981) rectional selection experiments phenotypic cases of natural selection on continuously variance commonly remains approximate- varying morphological traits we found in ly constant over the first few generations a literature search, 15 were not explained in terms of identified selection pressures, (Slatkin and Lande, 1976). Many of the variable populations dis- and of these 13 involved stabilizing seleccussed by Soule and Stewart (1970) are tion (examples in Johnson, 1976; see also likely to have been in their environment Van Valen, 1963; Van Valen and Weiss, for at least several hundred generations 1966; Bell, 1974). Lerner (1954) gathered evidence from {e.g., Grant, 1979ft), and any directional selection resulting from a new colonization laboratory populations showing that hetshould have long ceased. Given typical erozygotes exhibited less environmental heritabilities and strengths of stabilizing variation than homozygotes. This provides selection, variances should have equilibrat- a basis whereby stabilizing selection acting ed in this time. Van Valen (1969) considers directly on the character gives an advanthat there is no strong evidence for in- tage to heterozygotes and can result in the creased variation in rapidly evolving fossil maintenance of additive genetic variation lineages, despite some observations to the (Lerner, 1954; Lewontin, 1964ft; Mackay, contrary {e.g., Guthrie, 1965). The effects 1980). Lande (1980ft) disputes the releof canalization breakdown might be seen vance of Lerner's observations to natural in such lineages but only if the fossil record populations. It is not clear how common is exceptionally good. this mechanism is likely to be. Heterozygote advantage Models of continuous variation Small amounts of variation can be maintained under stabilizing selection if alleles act non-additively on the character involved (Lewontin, 1964a; Bulmer, 1971a; summarized by Lande, 1976). However, large amounts of variation can be maintained in a model in which alleles show overdominance on a fitness scale {e.g., see Berger, 1976) but are pleiotropically additive with respect to the phenotypic character being measured (Lerner, 1954; Lewontin, 1964ft; Robertson, 1977). Under such conditions, there will be the appearance of stabilizing selection, but the selective forces are likely to remain unidentified. This may occur in nature. Out of 23 Other studies concerning the maintenance of continuous variation have been based on one of three models (Slatkin, 1979). The first, a "phenotypic model" {e.g., Slatkin, 1970; Roughgarden, 1972; Slatkin and Lande, 1976) makes no assumptions about the detailed genetic basis of the character and considers the equilibrium variance under conditions that vary according to the question being asked. The other two approaches discuss modifications of the additive genetic variance. Both models assume a large but finite number of loci. One model devised by Bulmer (1971a, ft, c, 1972, 1974) considers just two alleles at each locus, with each locus having POPULATION VARIATION equal effects. The other due to Lande (1976, 19776) and based on earlier work by Kimura (1965), assumes a potentially infinite range of allelic effects at each locus; variation is introduced by mutation, and the mean and variance of the mutational input per generation can differ among loci. In both models alleles are assumed to act additively across and within loci, and there are no gene-environment correlations or interactions. An important feature of Lande's and the phenotypic models is that modifications of the variance can be considered independently of selection on the mean (e.g., see Slatkin, 1978, 1979). All the models are equilibrium models. They can be used to make quantitative predictions if the character is assumed to be normally distributed. This assumption is also usually made by empiricists in their ubiquitous use of the F test (Van Valen, 1978). Extreme deviations such as multimodality do not usually occur in groups standardized according to sex and age. In any event qualitative predictions from the models should not be greatly affected by deviations from normality (e.g., Slatkin, 1978). A further assumption is that the forces of natural selection act on the character whose variation is under study, or some other character with which it has a high additive genetic correlation. This assumption is important and justified in situations where possible causes of selection can be identified. Eight cases from the literature which postulated a reasonable cause for the selection are given in Table 2. The models can be applied certainly to these eight studies and possibly to the others, although the overdominance fitness model discussed earlier may be equally applicable to the others. Frequency dependent selection We turn to models concerned with the selective maintenance of variation through a frequency dependence among phenotypes. In what is probably thought of as the niche variation model (Roughgarden, 1972; Emlen, 1975; Slatkin, 1979), phenotypes are assumed to be best adapted to one point along a continuously vary- 799 ing environmental gradient such as a resource spectrum, according to their phenotypic measure, with competition between phenotypes being a decreasing function of their difference (Roughgarden, 1972; Bulmer, 1974; Slatkin, 1979). Slatkin (1979) reviewed these models, and showed that genetic variation (particularly when the variance is not constrained by the mean) will be maintained at equilibrium provided the resource function (or niche width) is sufficiently broad and the competition function is not too large. This formalizes the idea that differences in population variation will be correlated with differences in niche breadth only if the degree of specialization (or the competition function) remains relatively constant (Van Valen and Grant, 1970). Slatkin (1979) showed that, in the absence of mutation, all phenotypes are expected to have approximately equal fitnesses at equilibrium when resource, competition and phenotypic variation functions are relatively smooth (usually normal); but he also showed that fitnesses vary substantially among phenotypes at equilibrium when the resource function assumes an unusual shape. However it is important to note that even in models of frequency dependence where all phenotypes have equal fitness at equilibrium, selection is still required to maintain the equilibrium (Crow, 1970). Moreover the effect of mutation is to increase the variance above the equilibrium, and stabilizing selection will act on this variation. Although the models are plausible, there are several reasons for doubting that selection acts regularly in nature in the above manner. Wilson (1975) reviewed intraspecific differences in feeding efficiency associated with body size, and concluded that the models may be applicable to organisms segregating along a food-size resource axis, but a competitive gradient favoring large individuals could override the frequency dependence. Moreover in stochastic environments selection may be frequency independent sometimes, and this will obscure the frequency dependent component. Keast (1977) has offered the opinion that differences of a few percent TABLE 2. Cases of observed selection for which a reasonable cause for the selection has been prescribed. Organism Characters Method of examining selection Tvpe of selection Cause of selection Reference Water snakes Banding patterns Compare age classes Mainly directional Predation Camin and Ehrlich, 1958; Beatson, 1976 Sticklebacks Lateral plate numbers, gill raker numbers Sampling from a single cohort Stabilizing, directional Predation Hagen and Gilbertson, 1973 Snails Size Differential mortality Directional Predation Bantock and Bayley, 1973 Humans Height Mating success Stabilizing Mate choice Cavalli-Sforza and Bodmer, 1971 Darwin's finches Length measures Survival through drought Directional Feeding ability Great tits Body size Population through time Directional House sparrows Body size, length measures Differential mortality Directional and stabilizing Reduced competition for nest sites Dominance hierarchy Boag and Grant, 1981 Dhondt elal, 1979 Brown-headed cowbirds Wing and tarsus length Differential mortality Directional Temperature stress Grant, 1972 Johnson et al, 1980 POPULATION VARIATION between morphs cannot regularly have ecological significance. In addition resources will sometimes not follow a continuum and exploitation efficiencies will likewise not vary continuously, so a discrete niche model (see below) will be more appropriate. Hespenheide (1975) has pointed out a further difficulty. If a population consists of territorial individuals during critical selection periods, there will be little opportunity for a frequency dependent distribution of phenotypes when resource variation among territories is much less than variation within territories, as is likely to be generally true. The population is then expected to consist of monomorphic generalists solely on ecological grounds. However, critical selection periods for terrestrial vertebrates are most likely to occur outside the breeding season at a time when territoriality is minimal or absent (Fretwell, 1972; Smith et al., 1978). 801 dominants (e.g., Krebs, 1971). However, Grant et al. (1976) found segregation of finches by beak shape to two habitats, and Fretwell (1969) found segregation of sparrows on the basis of tarsus length. On the basis of dimensions of other species present in each habitat these authors prescribed selective advantages to the two groups within each species. Despite these observations, it is an open question whether conditions for the maintenance of polymorphism and, by extension, large continuous variation in heterogeneous environments will be commonly met. Temporal heterogeneity As a final possibility for the selective maintenance of variation, we consider temporally varying selection. Slatkin and Lande (1976) modelled a stabilizing selection function on a phenotypic trait with the optimum fluctuating across generations. They showed that the variance will converge to that predicted by the selection Spatial heterogeneity function unless the optima are so far apart Frequency dependence may be im- that much of the population has very low posed, alternatively, by the structure of the fitness. This was confirmed by simulation environment. Beginning with Levene (Maynard Smith, 1979). Positive autocor(1953), there have been many single locus relation among environments can relax models proposed for the maintenance of the conditions. Where there is a degree of genetic variation in an environment with specialization among phenotypes in a poptwo niches (reviews by Felsenstein, 1976; ulation subject to density independent seHedrick et al, 1976). Bulmer (19716) has lection, a positive correlation is expected extended these results to his models, dis- between the amplitude of the fluctuations and the variance of a character affected by regarding linkage disequilibrium. Conditions for the maintenance of poly- those fluctuations (Slatkin and Lande, morphism with a complete mixing of phe- 1976). Nevertheless, the general conclunotypes in the niches in each generation sion is that fluctuating environmental conare restrictive (Felsenstein, 1976; Maynard ditions can slow the loss of variation (LeSmith and Hoekstra, 1980), although they wontin, 19646) but are not likely to have been met in laboratory experiments maintain it in the absence of mutation with Drosophila (Thoday, 1972). The main- (Lande, 19776; Maynard Smith, 1979). tenance of the polymorphism is enhanced With models based on one locus, it is by a reduced gene flow between niches, possible to find conditions for the maine.g., as a result of assortative mating or tenance of polymorphism (e.g., Haldane through patch selection (Maynard Smith, and Jayakar, 1963), but these appear quite 1966, 1970). restrictive. In reality, temporal fluctuaThere have been several field studies in- tions may actually erode variation (e.g., see dicating preferential segregation of phe- Hedrick et al., 1976). Similar difficulties notypes to different habitats (e.g., Nisbet for the role of temporal and spatial hetand Medway, 1972), but in many instances erogeneity in maintaining variation have this is the result of displacement of sub- been observed using a quite different apordinate types to suboptimal habitat by proach—the modelling of the mainte- 802 P. R. GRANT AND T. D. PRICE nance of sex (Hamilton et al., 1981; Williams, 1975). We conclude that although mechanisms for the maintenance of variation in heterogeneous environments may operate in nature, in populations approaching panmixis they will act mainly to retard the loss of variation. The population structure is crucially important, and we suggest that the determination of this should be a priority in future empirical studies. We earlier alluded to the problems caused by the lumping of geographically differentiated samples in previous tests of the adaptive variation hypothesis. In distinguishing between the models presented it is important that this be eliminated as a complicating factor. Stabilizing selection We now turn to those types of selection actually observed in nature. It is generally thought that most characters are under stabilizing selection (Lande, 1976; Johnson, 1976), which may be frequency dependent, the rationale being that artificial (directional) selection can rapidly alter mean positions yet rapid change in means is rarely observed in nature (Lewontin, 1964a). Of the eight cases of selection with identified selective factors listed in Table 2, seven are concerned with only one component of total fitness, namely survival, and seven involve mainly directional selection, not stabilizing selection. If this is a common pattern, overall stabilizing selection will presumably occur as a result of fluctuating directional selection within generations. Opposing selection may occur at different stages of the life cycle. This is sometimes referred to as endocyclic selection (Dowdeswell, 1971). Alternatively, changing environmental conditions from year to year may shift the optimum at the same stage of the life cycle (Grant et al., 1976), an excellent example being the initial egg laying date in the Great Tit (Van Noordwijk et al., 1980). In addition, stabilizing selection may occur at a given life cycle stage through the operation of opposing forces such as predation and sexual selection (Endler, 1980). Lande (1976) has shown that given a mutation rate which increases the total variance by about 0.1% of the environmental variance per generation (which appears reasonable for polygenic characters; Lande, 1976) large amounts of additive genetic variance can be maintained even under quite strong stabilizing selection. Furthermore Lande (19776) reviewed experimental evidence that levels of variation in experimental populations can increase through mutation beyond that observed in nature. This complements the direct evidence of stabilizing selection in nature. Variation is also increased by immigration. In nature, this is suggested by the inverse correlation between population variation and degree of isolation (Soule, 1972; Grant, 19796). For example, in the Azores archipelago the least variable Chaffinch (Fringilla coelebs) populations are the most isolated and also the most differentiated; populations on the Canary Islands are more differentiated than on the Azores, and consistently less variable (Grant, 19796). It is generally thought that the mean is more strongly affected by natural selection than by immigration (Ehrlich and Raven, 1969; Sokal, 1978; Lande, 19806), whereas the variance is more sensitive than the mean to immigration (Endler, 1977). Typically, artificial (directional) selection on the mean is successful (Falconer, 1960, ch. 12; Lewontin, 1974, pp. 86-94) but selection on the variance is less effective and gives inconsistent results (e.g., Falconer, 1957; Scharloo, 1970; Thoday, 1972). The generation of linkage disequilibrium causes a temporary change in the genetic variance (Bulmer, 197ld, 1976; Robertson, 1977) and reduces the impact of selection on the variance. Linkage disequilibrium is always transient however, being broken down by recombination. Under the assumption of an infinite number of loci, variation is reduced to but not below an equilibrium value by stabilizing selection acting on the variation regenerated by recombination; in contrast the mean continuously responds to directional selection because it is dependent only on the heritability (Bulmer, 197 Id). 803 POPULATION VARIATION A DYNAMIC EQUILIBRIUM MODEL The preceding considerations lead us to propose a model of phenotypic variation which is in a state of balance between forces tending to increase the variation, principally mutation and introgression or immigration (input), and those tending to decrease it, mainly selection (output: Fig. 1). If we compare two populations of assumed equal mutation rates, we can use the model to account for differences in variation in terms of a difference in the immigration-selection balance. For the purposes of illustration, input (horizontal unbroken line) is assumed independent of the amount of variation present in the population. Lande (19776) has reviewed evidence which shows this to be reasonable for mutation; however with immigration, input is likely to decrease as maintained variation increases. The curved unbroken line represents variation lost due to a stabilizing selection function. As variation increases more will be lost, because more of the population is then in the low fitness tails of the selection function. A is the equilibrium point between input and output for population 1. Population 2 is more variable, either as a result of a relaxation of selection (curved dashed line, intersection at B) or an increase in immigration (horizontal dashed line, intersection at C). The simultaneous operation of both processes results in an even higher level of variation maintained (population 3). Note that increased immigration entails an increase in loss through selection. Thus increased levels of variation in one population over another can be accounted for by an increase in immigration, a relaxation of selection or some combination of the two. We ignore the effects of drift on the level of variation maintained because Lande (19806) has shown them to be of minor importance in a selection-mutation balance system. We first consider the influence of immigration, and then consider how selection may be relaxed. Felsenstein (1977) and Slatkin (1978) have considered the effect of gene exchange (immigration) on clinal variation using a model based on Lande's (1976). Slatkin (1978) showed that, with weak se- c A FIG. 1. The equilibrium maintained as a result of a balance between forces tending to increase population variation (mainly immigration and mutation, the input) and those tending to decrease it (mainly selection, the output). Four different intersections of input and output (A, B, C, D) give rise to three equilibrial levels of variation (1,2, 3). See text for further details. lection, for there to be an appreciable increase in variance at any one locality, the variance in the means of the exchanging populations must be similar to the variance expected in one locality after selection. Bulmer (1971c) has provided a similar analysis for his model. There are several ways in which selection may be relaxed. Selection may be relaxed or even absent when a species enters a new environment. The population increases in size, the absolute fitness is raised above one and phenotypes that would not normally survive have their fitnesses raised to or above one. This can only be transient. A possible example is the population of Great Skuas, Catharacta skua, in Scotland (Furness, 1977), which is growing exponentially following cessation of human persecution. Another example is the Cattle Egret, Casmerodius alba, which has grown exponentially following recent immigration to the U.S. (Bock and Lepthien, 1976). Fluctuations in selective optima within and across generations also slow the loss of variation, and increasing the amplitude of the fluctuation has the effect of relaxing the overall stabilizing selection. The top of the selection function becomes flattened, and phenotypes assume nearly equal fitnesses over a wide range of conditions. The total effect on the character may be nearly neutral. With a further increase in 804 P. R. GRANT AND T. D. PRICE TABLE 3. Heritabiltfies and coefficients of variation for the two species of Darwin's finches on Isla Daphne Major. Bill depth G. fortis G. scandens Body weight Bill length h1 x CV CVg h! x CV CVg h* X CV CVg .82 .16 9.39 9.19 9.10 5.68 8.24 2.27 .62 .51 10.70 14.45 7.24 4.75 6.10 3.40 .84 .70 15.67 19.90 11.31 8.65 10.36 7.25 Data for G. fortis are from Boag and Grant (1978, unpublished) and for G. scandens adapted from Boag (1981). h2 = heritability estimates based on mid-parent offspring regression, x = mean. CV = coefficient of variation. CVg = coefficient of genetic variation. CVg is calculated by dividing the square root of the product of the phenotypic variance and the heritability by the mean phenotype, assumed also to be the mean genotype. Sample sizes for CV estimates are 1,100 in G. fortis and 177 in G. scandens. Measurements for bill characters are in millimeters, for body weight in grams. amplitude, the overall selection function dips in the middle and there will be disruptive selection. Since the selective intensity is high this is a more extreme condition and hence it may be relatively rare. Segregation of phenotypes to different niches can slow the loss of variation. Slatkin (1978), on the basis of Lande's (1976) model, explicitly considered this as a means of relaxing selection. He showed that if the variance in the selective optima across niches is approximately the same as the variance in the selection function in one niche there will be an appreciable increase in variance over the whole population. Spatial heterogeneity is likely to be far more effective than temporal heterogeneity in influencing levels of variation because (1) conditions for maintenance of polymorphisms are less restrictive, and (2) temporal fluctuations only slow the reduction of variation to that expected within an environment (Slatkin and Lande, 1976), while spatial heterogeneity determines the expected variation within that environment. Populations composed of generalist phenotypes all of which exploit a large variety of resources may be subject to less intense stabilizing selection than populations of specialist phenotypes all exploiting the same narrow range of resources (Rothstein, 1973). Unlike the original formulation of the adaptive variation hypothesis (e.g., see Van Valen and Grant, 1970), this type of relaxation should lead to increased variation even when there is no betweenphenotype component to niche breadth (Rothstein, 1973). However, we emphasize that the postulated relationship between generalist habits and relaxed stabilizing selection is an assumption that needs to be tested. An example We now illustrate the application of this simple model to a field study. In conjunction with P. T. Boag, we have been studying two species of Darwin's finches (Geospizafortis, the Medium Ground Finch, and G. scandens, the Cactus Ground Finch) on Isla Daphne Major, Galapagos since 1975. The two species are very closely related (they have been known to interbreed but the hybrids did not survive). Coefficients of variation of morphological characters are up to 1.6 times greater in G. fortis than in G. scandens, and their coefficients of genetic variation differ by even more (Table 3). Selection. In 1977 there was a drought on the island: Population sizes are estimated to have decreased from about 1,200 to 180 in G. fortis and from 280 to 110 in G. scandens (Grant and Grant, 1980; Boag and Grant, 1981). We have analyzed selection on the variance associated with this mortality independent of selection on the mean, for three morphological traits (Boag and Grant, 1981). The separation is assumed in models and often observed in practice (Slatkin and Lande, 1976; Lande, 1976, 1977). Variation in the three beak and body size characters considered here has a fairly well understood adaptive significance with respect to metabolic rate and particularly feeding ability (Grant et ai, 1976; Grant, 1981a). We restrict ourselves to a univariate analysis. Despite a high phenotypic correlation between the 805 POPULATION VARIATION TABLE 4. Selectionon the variances by species and sex. Bill depth G.fortis, males G.fortis, females G. scandens, males G. scandens, females NB NA VB 390 105 74 34 114 30 33 16 .63 .63 .19 .21 Bill length vA .58 .60 .11* .13 VB .59 .59 .42 .22 Body weight vA V, VA .55 .59 .33 .11* 2.8 2.7 2.2 1.6 3.0 2.3 1.9 0.7* The comparison is between birds of known sex alive in 1976 with those that survived to 1977. Data are from Boag and Grant (unpublished) and Boag (1981). N refers to sample sizes and V to variances. The subscript B refers to before the drought, and A to after the drought. * Decreases in the variance between survivors and dead significant at the 5% level (F test). three characters (r varies from 0.69 to 0.86) selection on a composite character is likely to be more intense, but is more difficult to interpret ecologically. Changes in variance for each species and sex are given in Table 4. An unweighted average of the variances in each sex is used to give an estimate of the intensity of stabilizing selection (Table 5). Stabilizing selection over the drought appears to have been more intense on G. scandens than on G. fortis, despite the lower variability and mortality of G. scandens and almost no change in its mean. This can be related to the wider range of food types exploited by G.fortis, both between phenotypes (associated with patch selection, Grant et al., 1976; Grant, 1981a; Boag and Grant, 1981) and within phenotypes (Smith et al., 1978; Grant and Grant, 1980). The calculated selective losses are high in G. scandens and low in G. fortis. Using Figure 2 of Lande (1976) and assuming a normal fitness function, we estimate that heritabilities in the two species should be maintained at about 0.4 to 0.5 in G. scandens and slightly higher in G. fortis; this procedure also assumes the rates of mutation given by Lande (1976) for polygenic characters are applicable. Stabilizing selection over the whole life cycle is likely to be more intense: we have not considered survival to maturity or differences in fecundity. An examination of the breeding population in 1978 shows that fecundity differences may have an important effect. The sex ratio in both species in 1978 was skewed heavily in favor of males. All females on the island bred monogamously, and those males they bred with formed a less variable subset of the total male population in both species (Table 6). It is likely that the inclusion of selection over the whole life cycle would result in expected maintained heritabilities of 0.3 to 0.5 in each species (from Fig. 2 in Lande, 1976). Immigration. G. fortis, G. fuliginosa (the Small Ground Finch), and G. magnirostris (the Large Ground Finch) and possibly G. scandens regularly immigrate, probably from neighboring Isla Santa Cruz (Price, unpublished; Grant et al., 1975), but only G. fuliginosa have been known to stay and breed. They hybridize solely with G.fortis, TABLE 5. Selection over the drought period. Analysis of selection Bill depth G.fortis G. scandens Body weight Bill length F Load F Load F Load 1.07 1.65 3.2 22.3 1.04 1.42 1.7 15.9 1.03 1.44 .02 16.9 ' selective F values for the variance changes are given as an unweighted average of males and females. T h e Jo mortality or phenotypic load is defined by Lande (1976) as 100 (1 - V(&>2/(&>2 + crp2))), based on a normal fitness function, up- is a measure of the width of the fitness function; a large o>2 implies weak selection. It can be calculated using formulae in O'Donald (1970), again assuming a normal fitness function, ap2 is the phenotypic variance before selection. 806 P. R. GRANT AND T. D. PRICE TABLE 6. Variances at the start of the breeding season. Breeding males Bill depth NT VT Bill length Body weight VT G.fortis, males 81 26 .73 .59 .61 .34* 2.4 2.1 G. scandens, males 46 23 .18 .15 .45 .26* 2.3 1.9 The relative variances of all males (subscript T) and breeding males (subscript BD) by species in 1978. N refers to numbers, V to variances. * Variance decreases between breeders and nonbreeders significant at the 5% level (F test). and hybrid pairs comprise approximately 3% of all pairs (Boag, 1981). We use the character bill depth to illustrate the impact of this hybridization on population variation. We assume a pairing between the mean phenotypes (by assumption also the mean genotypes) of fuliginosa (bill depth 6.95 mm) and Daphne fortis (9.39 mm). A hybrid offspring at the mean position (expected bill depth 8.17 mm) will increase the genotypic variance in the Daphne fortis population by 1.77%, and the phenotypic variance by 1.45% for every 100 fortis individuals; these calculations are based on the observed heritability of 0.82 (Table 1). The final effect of hybridization is difficult to calculate because it depends, among other things, on the probability of hybrids surviving to breed successfully, the number of loci involved and the decay of linkage disequilibrium. A bird thought to be a hybrid on the basis of measurements bred successfully in 1976 (Boag, 1981). Two out of 55 male fortis offspring surviving into 1979 from 1978 were hybrids. Their presence increased the variance in the juvenile male component of the population by 6.5%, which is in rough agreement with the calculation above. The expected increase in phenotypic variance per generation due to hybridization is between one and two orders of magnitude greater than that expected from mutation alone (=£0.1%; Lande, 1976), and it is sufficient to account for the higher heritabilities in G. fortis than those predicted earlier without this immigration (see Lande, 1976, Fig. 2 for details). Therefore the greater variation in G. fortis than in G. scandens is probably asso- ciated with both relaxed selection and higher levels of immigration. It is impossible to apportion the relative importance of the two at this stage of the study. Nevertheless, it appears that there is some decrease in selective losses per unit variance maintained in G. fortis. This is in accord with the adaptive variation hypothesis. DISCUSSION: RETURN TO THE THEME OF THE SYMPOSIUM This symposium asks: To what extent has theoretical ecology contributed to our understanding of nature? We have considered one aspect of nature, variation within populations, and have discussed the major theories to account for it. To what extent have the theories been successful? A few comments on the role of theory are needed before we answer this question. Theoretical activities vary in methods and purposes, but they can be artificially dichotomized for convenience into two classes which we refer to as operational theory and pure theory. By operational theory we mean those constructs which, with little or no modification, can be applied to real world situations. By pure theory we mean those constructs which cannot be made useful in an applied sense without much simplification or other qualification. Both classes of theory are valuable; neither should be thought of as more important than the other and typically there is fruitful exchange between them. The value of pure theory, theory for the theoretician, is extremely difficult to assess in terms of its contribution to our understanding of nature because its benefits are indirect. It provides a framework in which to organize our thoughts and may enable us to pose sharp questions that would oth- 807 POPULATION VARIATION erwise never occur to us. By contrast operational theory can be more readily evaluated because the tests of its predictions show it to be satisfactory or inadequate as an explanation of nature. However, ultimately all theory must be measured against an empirical yardstick, so the final verdict on its usefulness will be rendered by empirical studies. In the words of J. B. S. Haldane: "No scientific theory is worth anything unless it enables us to predict something which is actually going on. Until that is done, theories are a mere game of words, and not such a good game as poetry" (Haldane, 1937, p. 7). Understanding phenotypic variation within populations is both an ecological and a genetics problem, but most of the theory has been developed by population geneticists, and much of it is pure theory. Van Valen's (1965) hypothesis was the first attempt to offer a testable explanation for differences between populations in levels of continuous variation. It drew upon prevailing views on the maintenance of genetic variation in single locus models, which are not appropriate for continuously varying phenotypic traits. Fifteen years later we have more useful, multilocus models that offer the opportunity of exploring the effects of ecological variables on levels of continuous variation. We have taken a small step towards translating them into operational form by presenting a model which integrates the main effects from these multilocus models. It can make predictions and it can be shown to be wrong. In the example we gave to illustrate its use, we might have found G.fortis, the more variable species, to receive no immigration and to be subject to stronger stabilizing selection than G. scandens. In this case the model would have been clearly wrong: as it turned out, the facts were consistent with the model. The model should also be applicable to other populations in the archipelago, and in fact there is indirect evidence of an association between large variation and relaxed selection among other populations of fortis (Grant, 1967). tinuous variation. Without the theory it is doubtful if the problem would have ever been recognized. Therefore in this area, and probably many others, it is not correct to say "Practice has caught up with theory in ecology" (Odum, 1971, p. vii). Rather, empirical studies lag far behind theory in this important but complex subject. While theory will undoubtedly continue to be elaborated and refined, even without feedback from empirical studies, what we really need at the moment are testable alternative theories, and data to test them from ecological studies of marked individuals. Empirical studies are needed to assess the importance of those features identified by theory as being of primary importance in determining population variation; spatial and temporal heterogeneity, population structure in its widest sense, immigration and selection—its cause, direction and whether it occurs in a frequency dependent fashion or not. Alternative theories are needed to avoid the main weakness of single theory testing: when there is only one theory and the data do not entirely fit, a process of altering the theory takes place to bring it more into line with the facts. Such essentially curve-fitting manipulation has sound theoretical justification; after all the theory may be basically correct, but at its worst it is no more than a post hoc rationalization of a poor theory. A limitation of our model is that it encompasses several selection processes without being specific about how or when they occur: It does not specify the conditions under which the different types of relaxed selection are expected to occur. We intend to make such refinements as this and then set the model in opposition to other explanatory schemes for variation, such as the more phenomenological suggestions of ecologists based on considerations of environmental heterogeneity and population control (McNaughton and Wolf, 1970; Murton, 1972; see also Grant, 1971), to see which one is most consistent with the natural world. ACKNOWLEDGMENTS In our judgment, theory has contributed Our research on Darwin's finches has substantially to our understanding of con- been funded by NRC (Canada) Grant 808 P. R. GRANT AND T. D. PRICE A2920 and by NSF Grants DEB 77-23377 and DEB 79-21119 to P.R.G. We thank numerous colleagues for discussion and for reading manuscripts, including J. P. Adams, P. T. Boag, J. A. Endler, B. R. Grant, J. Felsenstein, R. Lande, N. A. Moran, D. Schluter, C. Sing, M. Slatkin and P. Smouse. Bulmer, M. G. 1971c. Stable equilibria under the migration matrix model. Heredity 27:419-430. Buhner, M. G. 1971rf. The effect of selection on genetic variability. Amer. Natur. 105:201-211. Bulmer, M. G. 1972. The genetic variability of polygenic characters under optimizing selection, mutation and drift. Genet. Res., Camb. 19:17-25. Bulmer, M. G. 1974. Density dependent selection and character displacement. Amer. Natur. 108:45-58. Bulmer, M. G. 1976. 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