Behavioral Ecology Vol. 11 No. 3: 265–273 High fidelity on islands: a comparative study of extrapair paternity in passerine birds Simon C. Griffith Department of Evolutionary Biology, EBC, Uppsala University, Sweden It is commonly assumed that the intensity of sexual selection is lower in island populations. Extrapair paternity (EPP) is widespread within passerine birds and is indicative of sexual selection. A conservative analysis of the levels of EPP in island and equivalent mainland populations of passerines reveals that insular populations are indeed characterized by low levels of EPP. This supports the idea that the intensity of sexual selection is lower on islands. This relationship has previously been predicted, based on the assumption of low levels of genetic variation for fitness in such populations. The evidence from this analysis suggests that this is just one of several nonmutually exclusive hypotheses that may explain the high fidelity of island-living females. Key words: extrapair paternity, island populations, passerines, sexual selection. [Behav Ecol 11:265–273 (2000)] T he discovery that extrapair paternity (EPP) is a widespread feature of the most common avian mating systems has revolutionized our understanding of sexual selection in birds. Revealing the causes of the observed variation in the reported levels of EPP in different species and populations will be critical to fully understanding the mechanisms driving extrapair behavior (Petrie and Kempenaers, 1998). If EPP is the result of a female’s propensity to participate in extrapair copulations (EPCs) (given that willing males are available), then variation in the level of EPP will be determined largely by the costs and benefits of EPCs to females. The observed level of EPP in natural populations shows great variation, from 0% (e.g., Gyllensten et al., 1990) to ⬎75% (Mulder et al., 1994). Several factors have been suggested to account for this variation at both the species and population level. For example, the breeding system—from social monogamy through polygyny and polyandry to cooperative breeding systems—will obviously have a profound effect on the female cost–benefit relationship of engaging in EPCs. The precise nature of such effects is unclear and will undoubtedly be confounded by lifehistory variables such as annual fecundity of individuals and life span (Birkhead and Møller, 1992). Other, more subtle variables, which may differ between species but also between populations of one species, will also affect the level of EPP. It has been suggested that the level of EPP will be positively related to both the local breeding density (Møller and Birkhead, 1993) and degree of breeding synchrony within populations (Stutchbury and Morton, 1995). Both of these ideas are still controversial, and clear support for both ideas is lacking (e.g., see Westneat and Sherman, 1997; Weatherhead and Yezerinac, 1998). Petrie and Lipsitch (1994) proposed that the degree of polygyny will be related to population levels of variation for fitness-related genes. The degree of polygyny could be viewed synonymously with the level of EPP, with some males likely to be mated to multiple females. A comparative analysis of the levels of allozymic variation in species with differing levels of EPP supports the predictions of the model (Petrie et al., 1998); however, in their analyses there is some difficulty in establishing cause and effect. Additionally, this theory relies on the assumption that EPP is largely caused by females seeking good genes—an idea that currently has received little direct support (but see Hasselquist et al., 1996; Sheldon et al., 1997). Other studies have demonstrated that EPP may result from females seeking direct benefits (e.g., Gray, 1997). Generally, there are two nonmutually exclusive groups of populations, which may be expected to have a below average level of genetic diversity, allowing an indirect test of this hypothesis. The first is those populations that have historically been through a genetic bottleneck due to a significant numerical decline, often due to human pressure. The second is naturally occurring island-dwelling populations, which are expected to exhibit low levels of genetic variation due to a combination of founder effects, inbreeding, genetic drift, and low rates of dispersal ( Jaenike, 1973; Wright, 1931). Frankham (1997) found that, like other taxa, island-dwelling populations of birds do indeed have lower levels of genetic variation (measured with allozymes, nuclear DNA markers, and mitochondrial inversions) than those living on larger landmasses. On this basis, a comparative analysis of EPP in island and mainland populations of birds will test the expectation of Petrie and Lipsitch (1994) that island populations will exhibit significantly lower levels of EPP. If island populations do exhibit lower levels of EPP, then the implications are potentially great for some of the classic evolutionary studies which have focused on island populations of passerines, as well as recent studies (e.g., Grant, 1986; Komdeur, 1996; Smith, 1988). Extrapair paternity is a common and widespread behavior in avian breeding systems (Petrie and Kempenaers, 1998) and will play a significant role in sexual selection within such systems. If such an important component of the avian breeding system is insignificant in island populations, then they must be abnormal in some fundamental way, and the use of island systems to study mating systems must surely be questioned. METHODS Data set Address correspondence to S. C. Griffith, Department of Evolutionary Biology, EBC, Uppsala University, Norbyvägen 18D, S-752 36 Uppsala, Sweden. E-mail: [email protected]. Received 8 April 1999; revised 25 July 1999; accepted 24 August 1999. 2000 International Society for Behavioral Ecology Extrapair paternity is widespread and shows great variation in the Passeriformes (Petrie and Kempenaers, 1998), a homogeneous group well enough represented in the literature to enable a test of whether island populations do exhibit low levels of EPP through the comparative approach. I have followed Westneat et al.’s (1990) definitions of pair-bonds and 266 EPP; thus a pair-bond is viewed as an extended social and sexual association between a male and female, lasting considerably longer than the time taken to copulate. Subsequently, EPP can result from a mating between a female and a male other than her pair-bonded mate. This definition excludes copulations between females and males that have extensive social associations such as, for example, a multiply mated female in a polyandrous breeding system (e.g., the mating system of the dunnock, Prunella modularis; Burke et al., 1989). Cooperative breeding is defined as a reproductive system in which one or more members of a social group of more than two adults provide care to young that are not their own (Stacey and Koenig, 1990). For cooperative breeders, EPP is actually extragroup paternity; however, for simplicity it will also be referred to as EPP. I compiled data on levels of EPP from original sources that were located by searching the major biological and ornithological journals and searching the BIDS and BIOSIS databases. All published studies (up to the end of January 1999) that have reported the level of EPP in wild, unmanipulated populations based on reliable genetic techniques (multi- or singlelocus minisatellite fingerprinting or polymerase chain reaction-based microsatellite genotyping) were included. I omitted studies based on allozymes, plumage markers, and sex differences in heritability estimates due to their poor precision and the ambiguity of such results with regard to the difference between EPP and intraspecific brood parasitism (see Westneat and Sherman, 1997). There is no reason to suspect that the exclusion of these results caused consistent bias with regard to the hypothesis being tested. To be applicable to the hypothesis of Petrie and Lipsitch (1994), an island population should ideally conform to both of the following characteristics: (1) the population should be sedentary on the island throughout the year. Those species that breed on an island but are migratory cannot reasonably be expected to suffer reduced genetic variation because vagrants are likely to immigrate into the breeding population. Similarly, the population must be effectively isolated from wintering conspecifics. (2) The island must be reasonably small so as not to contain too large a population. Fundamental to the idea of reduced genetic variation within an island population is the effective population size. This will be related to the size of the island via the ecological carrying capacity and also to the spatial distribution of individuals within that population. A landmass such as Britain, which has been classed as an island by some authors (e.g., Fitzpatrick, 1998), obviously cannot realistically be classified as an island with respect to the hypothesis in question. Although it may appear that the definition of what constitutes an island appears subjective, in this data set there is a clear distinction between island and nonisland populations. Size is potentially the most arbitrary category, and in this data set there is a considerable difference between the smallest piece of land classified as mainland (Britain 244,820 km2) and the largest island (Gotland, Sweden; 57⬚ N, 18⬚ E, 3170 km2; see Figure 1). Finally, although small patches of suitable habitat within a larger land mass may represent islands to certain species, I did not account for such situations in this study due to the obvious difficulty in detecting and defining such ecologically delimited islands. Analysis The data set consists of 74 populations from 54 different species. Eight of the populations in the data set are cooperatively breeding species, which were excluded from the main analysis because EPP is likely to be affected by different factors in such breeding systems. Of the remainder, 13 of the populations live Behavioral Ecology Vol. 11 No. 3 Figure 1 The size of landmass on which the 14 most insular populations are found. Populations considered to be truly insular in this study are those on a landmass ⬍10,000 km2. Gotland, Sweden (b) is the largest landmass to be considered an island, and Britain (a) is the smallest landmass not classified as an island (see Methods). on islands and 53 live on larger land masses. For species in which the level of EPP had been estimated in more than one population, I calculated a mean for the species based on all the populations within one of the two categories (either island or mainland), weighted by sample size of the component estimates. The hypothesis can be tested using a simple comparison of the mean level of EPP in the island populations with the mean level in the mainland populations. The validity of this test relies on the independent derivation of the island state. The phylogeny of the order is presented in Table 1, and from the distribution of island populations it seems most parsimonious that the island state is in fact independently derived for each of these populations. In addition, only three of the species are island endemics with most species living both on islands and mainland and therefore island living is not a species characteristic. Although for the above reasons it is unnecessary to control for the effects of nonindependent derivation of island populations, to be conservative I repeated the analysis using a pairwise analysis of closely related species or populations (following Møller and Birkhead, 1992). For each pairwise comparison I paired the island population with the mainland population most closely related to it using the molecularbased phylogeny of Sibley and Alquist (1990) (see Table 2). In each case pairs were constructed with species from the same tribe or subfamily. Two island populations could not be paired (Petroica australis and Zosterops lateralis), as they are the only members of their respective families subjected to genetic parentage studies. The exclusion of these two can only make the analysis more conservative, as the level of EPP in both was found to be 0%, and therefore it is impossible for a comparative population to have a lower level. Four of the 10 pairs are intraspecies comparisons, which is the best test of the hypothesis. Finally, as discussed above, to conform to the idea of Petrie and Lipsitch (1994), island populations should be closed to excessive, regular gene flow, and therefore species that breed on islands but migrate to them annually should be excluded from the analysis. Four of the 10 island popula- Griffith • Island levels of EPP tions are migratory, and therefore I repeated the analysis with these pairs excluded. For all the above comparisons mean levels of EPP were established from the available data (again weighted for sample size), and the pairs were analyzed using the nonparametric paired Wilcoxon test. RESULTS The mean level of EPP in island-dwelling populations of passerines was significantly lower than the level of EPP in populations living on larger landmasses (see Figures 2 and 3a). The mean level of EPP in island populations was 8.2% (⫾3.4 SEM) and in mainland populations was 17.6% (⫾1.7nn-Whitney, z ⫽ 2.52, n ⫽ 66, p ⫽ .01; see Figure 3a). The pairwise comparison between island and equivalent mainland populations, which controlled for the possible nonindependent derivation of the island state, confirmed this result (Wilcoxon z ⫽ 2.16, n ⫽ 10, p ⫽ .03; Figure 3b). In 8 of the 10 pairs, the island population had a lower level of EPP. Interestingly, the two island populations that did not conform to the overall relationship were the populations of the collared flycatcher and willow warbler, both on Gotland, the largest island in the data set and also both migratory species. As shown in Figure 3a, the four migratory island populations exhibit the highest levels of EPP within the island data set. This observation suggests that, as expected, the island effect does not apply to migratory species. If the analyses are repeated excluding these four migratory species, there is a significant difference between island and mainland species, even though the sample size is greatly reduced (Wilcoxon z ⫽ 2.81, n ⫽ 6, p ⫽ .005). As shown in Figure 2, the accuracy of reported levels of EPP are dependent on the sample size of offspring used to construct the estimate. For illustrative purposes, the shaded areas on the graph represent the 95% and 99% confidence intervals around the mean level of all passerine populations (15.9% ⫾ 1.6), across different sample sizes. As illustrated, the estimates of island populations are based on sample sizes equivalent to those of the mainland populations. The four island populations within the boundaries of the 95% confidence limits around the mean level of EPP for passerines are the four migratory species (see above); nearly all of the others (seven out of eight) are significantly lower than the mean level at the respective sample sizes. The single exception is an estimate of 0% based on a small sample of offspring. Therefore, the above results are not unduly affected by a consistent bias in the unreliability of either island or mainland population estimates. In the pairwise comparative data there was no difference between the mean sample size used for island and mainland estimates of EPP (Wilcoxon z ⫽ 0.45, n ⫽ 10, p ⫽ .65). For 8 of the 10 pairs in the comparative analysis there are estimates of breeding density for both the island and mainland populations (see Table 1). In five cases the island populations bred at a higher density, whereas in the other three the mainland populations bred at higher density, but in most cases the differences were not great. There is no significant difference between the breeding density of the mainland and island populations used in this analysis (Wilcoxon z ⫽ 0.98, n ⫽ 9, p ⫽ .33). Most convincingly, the differences between the breeding densities of the island and mainland populations of the four species that are represented by both mainland and island populations (i.e., Parus major, P. caeruleus, Phylloscopus trochilus, and Passer domesticus) are negligible (see Table 1). 267 DISCUSSION The finding that insular populations exhibit significantly lower levels of EPP than other populations is consistent with the model proposed by Petrie and Lipsitch (1994). However, there are several viable alternatives that are difficult to exclude. First, the set of species or populations inhabiting islands today (and therefore available to study) may not reflect a nonrandom set of all passerines. Such populations may be present due to a characteristic in which suitability for an insular existence covaries with a significantly lower-than-average level of EPP. For example, Sorci et al. (1998) found that, after anthropogenic introduction to New Zealand, dichromatic species were more likely to become extinct. The interpretation was that strong sexual selection made a species less competitive and unable to force its way into a new environment. An alternative idea which may bear some relevance comes from the detailed studies of speciation in Hawaiian Drosophila and is argued to be responsible for asymmetric sexual isolation in species pairs on different islands. It was suggested that, after a founder event, when a population is still small, females are unable to satisfy all their mate choice requirements, and this subsequently leads to a shift in the choosiness of females within sister species pairs (Kaneshiro, 1976). In the given example of Drosophila, courtship patterns are quite complicated, and it appears that only some parts of the courtship are lost (Hoikkala and Kaneshiro, 1993). It is possible that such founder effects may lead to a reduction in the choosiness of females even in species in which courtship is more simple or based primarily on one or two simple traits, particularly if there are costs associated with female choosiness. Either of these two routes of selection may have led to differences between the island populations and mainland populations used in this analysis. However, with our present limited knowledge about the extent of genetic variation for both female choosiness and promiscuity in birds, it is difficult to predict the importance of such effects. It is also hard to imagine how such processes could account for such significant differences between populations of the same species (e.g., Passer and Parus), particularly where gene flow is not restricted (Griffith et al., 1999; Verhulst and van Eck, 1996). An alternative to differences between populations caused by selection is the idea that the observed differences between island and mainland populations are the result of phenotypic plasticity in response to the island environment. For example, a female in an island environment may be less likely to seek EPCs than a female in a mainland population. It is not known whether such differences are due to selection or environmental determination (or a combination of both), but several studies have revealed systematic differences between islanddwelling birds and their mainland counterparts. Male coloration has been shown to be drabber on islands (Fitzpatrick, 1998), and island and mainland populations show divergence in many reproductive traits. For example, great tits on offshore islands in Denmark bred later, laid smaller clutches, and laid larger eggs than those on the mainland (Wiggins et al., 1998). Low genetic diversity, lower food abundance, and density dependence were given as possible reasons for these differences in the reproductive ecology of the different populations. The evidence for lower genetic variation of island versus mainland populations is quite clear. Island populations of mammals, birds, reptiles, insects, and plants had 29% lower heterozygosity compared with mainland populations of the same species (Frankham, 1997). This gives some support to the idea that low genetic variation may lead to reduced levels of EPP through the route proposed by Petrie and Lipsitch (1994); however, this interpretation should be drawn with cau- Behavioral Ecology Vol. 11 No. 3 268 Table 1 Phylogeny of the passeriformes (based on Sibley and Alquist, 1990) Family Formicariidae Maluridae Meliphagidae Pardalotidae Eopsaltriidae Laniidae Vireonidae Muscicapidae Subfamily Tribe Malurinae Manorinae Acanthizinae Malurini Manorini Sericornithini Lanius Turdinae Muscicapinae Muscicapini Saxicolini Sturnidae Certhiidae Paridae Sturnini Troglodytinae Parinae Species MS Status Area Cercomacra tyrannina Malurus cyaneus Manorina melancephala Sericornis frontalis Petroica australis Lanius bucephalus Vireo olivaceus V. solitarius Turdus grayi Sialia mexicana S. sialis Ficedula albicollis* F. hypoleuca* Oenanthe oenanthe* Luscinia svecica* Sturnus vulgaris Troglodytes aedon Campylorhynchus griseus C. nuchalis Parus atricapillus P. caeruleus* r r r r r m m m r p p m m m m p m r r r p p p p p p p r m m m m m r m m m r m m m r r m r r n r r r r r r m m r m m m r m P. cristatus P. major* Aegithalidae Hirundinidae Hirundininae Zosteropidae Sylviidae Acrocephalina Passeridae Fringillidae P. montanus Panurus biarmicus Psaltriparus minimus Progne subis Delichon urbica Hirundo ariel Hirundo rustica Tachycineta bicolor Zosterops lateralis Acrocephalus arundinaceus A. paludicola A. schoenobaenus A. vaughani taiti Phylloscopus sibilatrix P. trochilus* Passerinae Passer domesticus* Motacillinae Prunellinae Anthus spinoletta Prunella collaris P. modularis Taeniopygia guttata Fringilla coelebs Carpodacus mexicanus* Loxioides bailleui* Emberiza citrinella* E. schoeniclus* Miliaria calandra* Passerculus sandwichensis* Passerina cyanea* Geospiza scandens* Dendroica petechia Setophaga ruticilla Wilsonia citrina Cardinalis cardinalis Agelaius phoeniceus Estrilidinae Fringillinae Estrilidini Fringillini Carduelini Emberizinae Emberizini Parulini Cardinalini Icterini c c c i ⬍5 i 3170 i ⬍5 Density 150, 600 600 160, 50 27 38 c c m i m i 40 60 8 22, 8 40 50, 65 c i ⬍5 c m i m i 3170 ⬍5 140, 59 80 120 100 c c i 140 100 i i 610 ⬍5 i ⬍5 500 60 200 n EPP Referencea 15 181 85 137 62 99 19 37 37 207 83 459 456 73 150 154 790 222 191 53 1808 466 121 1006 924 112 187 59 142 135 203 553 378 122 553 70 345 23 56 229 68 536 305 1052 110 133 82 47 80 20 123 216 44 160 63 159 355 108 356 37 1255 0 76.2 5.9 12.4 0 10.1 57.8 2.7 37.8 19 8.4 15.5 8.0 11 20 9.1 8.4 4.1 4.2 17 12 6.6 12.4 11.5 5.5 0.9 14.4 0 18.3 17.3 14 22.5 53.1 0 3.1 36 7.8 0 0 15.7 27.9 13.6 1.3 5.2 0 0.8 2.4 17 8.8 0 37.4 54.6 0 23.1 34.9 7.5 36.6 39.8 26.7 13.5 28 1 32 48 33 37 12 70 70 22 20 21 34 35,75,76 19 18 68,69 15 13 14 39 41,42,43 40 44 41,71,72 40,45 46 23 38 8 2,3 4 4,5,6,7 9,10 47 24 25 26,27 28 29 74,29 30 67 66 11 16 17 65 64 63 58 49 50 51 52 54 73 55 56 57 53 59,60,61 MS, migration status (r ⫽ resident, m ⫽ migratory, p ⫽ partial migrant); status: c ⫽ cooperative breeder, i ⫽ island population, m ⫽ mainland populations (only given for species where an island population also exists); area ⫽ area of the landmass inhabited by island populations (km2); n ⫽ number of offspring on which the estimate of extrapair paternity (EPP) is based; EPP is percent offspring. * Species used in the pairwise comparison. a References for data on extrapair paternity: 1. Fleischer et al. (1997); 2. Whittingham and Lifjeld (1995); 3. Riley et al. (1995); 4. Magrath and Elgar (1997); 5. Primmer et al. (1995); 6. Smith et al. (1991); 7. Møller and Tegelström (1997); 8. Wagner et al. (1996); 9. Dunn and Robertson (1993); 10. Lifjeld et al. (1993); 11. Reyer et al. (1997); 12. Yamagishi et al. (1992); 13. Haydock et al. (1996); 14. Piper et al. Griffith • Island levels of EPP 269 Figure 2 Different population estimates of the level of extrapair paternity (EPP) in the passerines against sample size. The shaded areas represent the 95 and 99% confidence intervals around the passerine mean level of EPP (15.9%) at varying sample sizes to illustrate the effect of sample size on the reliability of estimates. The confidence intervals were calculated following Rohlf and Sokal (1969). tion. Petrie and Lipsitch’s (1994) theory concerns additive genetic variance for traits related to fitness, but most estimates of genetic variation are based on allozyme studies and studies of supposedly neutral genetic markers. There is some discussion of the extent to which allozyme heterozygosity correlates with additive genetic variation for traits related to fitness (Butlin and Treganza, 1998), and, indeed, any relationship that does exist is likely to be weakened by low effective population sizes (Lande, 1988). Several observations point to the fact that, in at least some cases, the island effect is unlikely to be caused by low genetic variance. The level of heterozygosity and allelic diversity at microsatellite loci in the island population of house sparrows on Lundy off the southwest coast of England were no different from that in several mainland populations. This observation was in line with expectation, given the effective population size and the number of immigrants per generation (Griffith et al., 1999). Similarly, the population of great tits breeding on Vlieland, an island in the Dutch Wadden Sea, is highly unlikely to be genetically different from the mainland population, given that each year, approximately 25% of the breeding females arrived on the island as immigrants from mainland populations (Verhulst and van Eck, 1996). Naturally, some of these island populations are small, isolated ones that in some cases have been through substantial genetic bottlenecks: for example, the study population of the New Zealand ← (1995); 15. Soukup and Thompson (1998); 16. Hartley et al. (1995); 17. Burke et al. (1989); 18. Krokene et al. (1996); 19. Currie et al. (1998); 20. Dickinson (1998); 21. Meek et al. (1994); 22. Stutchbury et al. (1998); 23. Hoi and Hoi-Leitner (1997); 24. Hasselquist et al. (1995); 25. Schulze-Hagen et al. (1993); 26. Langefors et al. (1998); 27. Buchanan and Catchpole (in press); 28. Brooke and Hartley (1995); 29. Gyllensten et al. (1990); 30. Fridolfsson et al. (1997); 31. Bjørnstad and Lifjeld (1997); 32. Mulder et al. (1994); 33. Whittingham et al. (1997); 34. Sheldon and Ellegren (1999); 35. Ellegren et al. (1995); 36. Rätti et al. (1995); 37. Ardern et al. (1997); 38. Bruce et al. (1996); 39. Otter et al. (1994); 40. Krokene et al. (1998); 41. Gullberg et al. (1992); 42. Kempenaers et al. (1992); 43. Kempenaers et al. (1997); 44. Lens et al. (1997); 45. Verboven and Mateman (1997); 46. Orell et al. (1997); 47. Robertson (1996); 48. Põldmaa et al. (1995); 49. Sundberg and Dixon (1996); 50. Dixon et al. (1994); 50a. Petren et al. (1999); 51. Hartley et al. (1993); 52. Freeman-Gallant (1996); 53. Ritchison et al. (1994); 54. Westneat (1990); 55. Yezerinac et al. (1995); 56. Perreault et al. (1998); 57. Stutchbury et al. (1997); 58. Fleischer et al. (1994); 59. Westneat (1993); 60. Gray (1996); 61. Weatherhead and Boag (1995); 62. Barber et al. (1996); 63. Hill et al. (1994); 64. Sheldon and Burke (1994); 65. Birkhead et al. (1990); 66. Griffith et al. (submitted); 67. Wetton and Parkin (1991); 68. Pinxten et al. (1993); 69. Smith and von Schantz (1993). 70. Morton et al. (1998); 71. Lubjuhn et al. (1993); 72. Strohbach et al. (1998); 73. Petren et al. (1999); 74. Bjørnstad and Lifjeld (1997); 75. Lifjeld et al. (1991); Rätti et al. (1995). Density estimates were taken from the original source except for Luscinia svecica (Krokene C, personal communication) and Ficedula albicollis (Sheldon B, personal communication). 270 Behavioral Ecology Vol. 11 No. 3 Figure 3 (a) Population estimates of extrapair paternity (EPP) in island and mainland populations of passerines with the mean (⫾SE). The four island-dwelling populations that are migratory are indicated by filled symbols. (b) Pairwise comparisons of the level of EPP in island and mainland populations. black robin (approximately 150 pairs) was established from just 5 individuals (Ardern et al., 1997). Although the difference in genetic variation between island and mainland populations appears to be a likely candidate for at least some of the observed differences, there are some nonmutually exclusive alternatives that are testable and require further investigation. Petrie and Lipsitch (1994) focused on the potential benefits to participation in EPCs, but the level of EPP will also depend on the costs of EPP for females. For a socially monogamous passerine, perhaps the greatest cost is the loss of male help in rearing offspring. Monogamy is assumed to be so prevalent among passerines due to the constraints of egg laying and the advantages of biparental care to the successful production of offspring (Gowaty, 1996). Several studies have revealed a negative relationship between a male’s certainty of paternity and the proportion of food he brings to the nest relative female provisioning (see Wright, 1998). Given the potential cost of such punishment to the female in terms of both current and future reproduction, perhaps in a more ecologically constrained island environment the costs are proportionally higher and not worth paying. This idea could be tested by manipulating ecological aspects of island populations to reduce the constraints and make them comparable to those encountered by mainland populations. Other characteristics of insular populations may also adjust the cost–benefit equation for female participation in EPCs. For example, Slagsvold and Lifjeld (1994) proposed that EPP should be lower in populations or species in which females can assess the quality of males over a long period. Perhaps in small, insular populations individuals have good opportunity to thoroughly judge each other, and therefore they will mate assortatively with respect to quality, resulting in low levels of EPP. It is difficult to determine the extent to which this idea may explain the difference between island and mainland populations in the level of EPP. However, it is interesting that within island populations, those with the highest levels of EPP were those that migrated to the breeding area and only arrived a short time before pair formation. Although breeding density may vary between mainland and island populations, within a species this variation is apparently limited (certainly within this data set), and there does not seem to be an overall trend for islands to have either abnormally low or high breeding densities. In fact, in this data set island populations are more likely to be of a higher density than corresponding mainland populations. This leads to an expectation of higher levels of EPP (Westneat and Sherman, 1997) on islands and therefore suggests that the island effect is stronger than any density dependence of EPP. Certainly, any affect of islands on EPP is unlikely to be caused by the effects of breeding density. Unfortunately, sufficient data were not available to investigate the possibility that breeding synchrony may contribute to low levels of EPP on islands. The level of breeding synchrony is a potential confounding variable; however, there is still disagreement over whether it will increase (Stutchbury and Morton, 1995) or decrease (Birkhead and Biggins, 1987; Sherman and Morton, 1988) the level of EPP. The idea that there is a simple relationship between the level of breeding synchrony and the level of EPP has provoked controversy and has yet to receive any unequivocal empirical support (see Westneat and Sherman, 1997; Weatherhead and Yezerinac, 1998). It is difficult to imagine why island populations may exhibit the sort of consistent significant differences in the degree of breeding synchrony that would be needed to cause low levels of EPP, even assuming there is a relationship between synchrony and EPP. Finally, of the island populations cited in this study, several specifically cast doubt on the ability of the synchrony hypothesis to explain the low levels of EPP in their populations. For example, the common occurrence of asynchronous second and third broods means that the populations have both synchronous and asynchronously breeding individuals (e.g., Griffith et al., 1999; Petren et al., 1999; Verboven and Mateman, 1997). Griffith • Island levels of EPP In conclusion, it appears that island populations are characterized by extremely low levels of EPP relative to populations on larger landmasses. This result is consistent with other observations suggesting that the intensity of sexual selection is lower in island populations. Although the cause of this relationship may be at least partly due to the low genetic variation of some island populations, it may also be largely determined by nongenetic factors which require further investigation. That island populations are so different with respect to such an important aspect of behavioral ecology is of great importance from both a conservation view and because island populations are often used as model populations for the study of behavioral and evolutionary ecology. Thanks to Terry Burke, Anders Møller, Ian Owens, Marion Petrie, Ben Sheldon, and Dave Westneat for discussion and ideas and two anonymous referees for comments on the manuscript. This work was supported by the UK Natural Environment Research Council and a grant from the Swedish Natural Sciences Research Council to Ben Sheldon. REFERENCES Ardern SL, Ma W., Ewen JG, Armstrong DP, Lambert DM, 1997. 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