Supplement A: Population dynamics and dispersal in melitaeine butterflies On the assumption that our study species, Euphydruas editha and E. aurinia, do not differ in spatial variance of selection, Fst values suggest that E. editha has either greater 5 effective population sizes than E. aurinia or greater dispersal tendency. Can we assess from the literature whether systematic differences exist between these species in population dynamics and/or in dispersal tendency? Population dynamics 10 Melitaeines traditionally have been described as relatively sedentary butterflies (Ford & Ford 1930, Ehrlich 1965, Kuussaari et al. 1996, Hanski 1999). To the extent that dispersal of different melitaeines has been studied, it has been similar among species. Five Finnish melitaeines all had similar patterns of dispersal, as inferred from patch 15 occupancy (Wahlberg et al. 2002). Most convincingly, a metapopulation model in which dispersal was parameterized from detailed study of a common species, Melitaea cinxia, accurately predicted patch occupancy in an endangered congener, M. diamina, that was not amenable to direct study of dispersal (Wahlberg et al. 1996). We don’t have comparable information on E. aurinia and E. editha, but multiple mark-release studies 20 suggest that the two species are about equally dispersive. Two large-scale markrecapture (MRR) studies of E. editha have been done by Harrison (1989) and of E. aurinia by Zimmerman et al. (2011). These give us at least some idea of the distances likely to be covered by individual insects. The very ambitious Zimmerman et al. study covered 1500km2, marked 9118 insects and recaptured 2911, some of them multiple 25 times. Among those recaptures they recorded 51 insects whose summed lifetime movements exceeded 5 km and 14 that exceeded 10 km, but these were not straight-line distances and the maximum straight-line distance covered was shorter, 7.6 km. Harrison (1989) studied an island-mainland metapopulation of E. editha, with patches distributed across 300 km2, and maximum recordable movements on the order of 20 km. Patch 30 occupancy patterns showed that colonization of small ‘islands’ occurred quite readily at short distances from the ‘mainland’, but was “truncated” at around 4.5 km. When 1,000 butterflies were released in non-habitat and forced to search for habitat, 101 were recaptured and the two longest recorded distances traveled were 5.6 and 3.0km. While this study of E. editha is not comparable to Zimmerman et al’s (2011) study of E. 35 aurinia, there is no suggestion in these or other data of an important difference between the two species in dispersal tendency. Population density is extremely variable. In both study species, population extinction is frequent (Ehrlich et al. 1980, Harrison et al. 1988, Parmesan 1996, Anthes et al. 2003, 40 Bulman et al. 2007, Zimmerman et al. 2011), yet both can also reach extremely high population densities for butterflies. Ford & Ford (1930) documented long-term boom and bust cycles in an isolated population of E. aurinia and Junker & Schmitt (2010), using MRR, estimated a population size of about 8,000 Lonicera-feeding E. aurinia across a study site of 3.6 ha, a density of about 2,200 butterflies /ha. Thomas et al. 45 (1996) recorded E. editha densities on the order of one adult per square meter in habitat patches from which the insects were subsequently extirpated by an unseasonable weather event. Harrison (1989) captured 1,000 adult butterflies in 14 person-hours of work, likewise indicating very high density. 50 It's likely that, within each species, ecotypes will differ in population stability and it's possible that one species may have more overall stability than the other. However, published evidence shows that the species resemble each other in population dynamics. Both can reach extremely high local densities, but are critically endangered in parts of their ranges. Both have colonial structure with patchy distribution across landscapes, 55 sometimes as isolated populations, but more often as metapopulations in which patch extinctions and colonizations are frequent (Harrison et al. 1988, Thomas et al. 1996, Joyce & Pullin (2003). Within metapopulations, patch occupancy by Succisa-feeding E. aurinia was related to patch size, host density, and successional stage of the patch (Wahlberg et al. 2002a,b). In E. editha, patch occupancy of "islands" in a "mainland- 60 island" metapopulation was related to patch size and distance from the mainland (Harrison et al. 1988). We might expect the reported high densities to lead to intermittent high dispersal in both species, but this is not the case among Melitaeines. Both M. cinxia and meadow-ecotype 65 E. editha (Bay Checkerspots) were less likely to emigrate when densities were high (Kuussaari et al 1996, Gilbert & Singer 1973), while dispersal of montane E. editha was density-independent (Boughton 2000). Studies of E. editha indicated that migrants did not detect suitable habitat from a long distance and were not able to orient toward it (Harrison 1989, Boughton 2000). However, a high proportion of migrant E. aurinia did 70 succeed in locating habitat (Washlberg et al. 2002a). These observations don't necessarily imply a difference between the two species. It is possible that both search randomly across non-habitat, but are efficient at identifying suitable habitat when they find it. Assessing differences in dispersal between butterfly species is not simple, since evolution 75 of dispersal tendency is dynamic (Stevens et al. 2010a), varying among individuals and populations, with mean dispersal changing across short distances and over short time periods (Gilbert & Singer 1973, Hanski 2011). Classically, MRR in butterflies has given lower estimates of dispersal than genetic techniques. Practitioners of MRR have tended to trust their data, impressed by their ability to relocate a moderate proportion of marked 80 insects, often several times during their short lives (of the butterflies, not the researchers). But what happens to the insects that are not recaptured? No MRR study of E. editha or E. aurinia has recaptured more than 50% of marked insects, leaving plenty of room for emigration. In the absence of direct information, the difference between dispersal estimates obtained from MRR and from genetic studies has long been suspected 85 (especially by the geneticists) to stem from failure of MRR to detect the longest movements because those movements take animals out of the study area. The geneticists' case is supported by Zimmerman et al. (2011) who performed MRR on the marsh ecotype of E. aurinia simultaneously in 110 habitat patches spread across 1500km2. This enabled them to compare estimates of long-distance movement obtained 90 from real observations across a large scale with estimates obtained in traditional manner by extrapolating from the distributions of distances moved in local studies. They determined that the extrapolation did indeed underestimate long-distance movement,by a factor of about two. The local scale predicted more long-distance movement by females than by males, but in fact, at the larger scale there was no difference between the sexes. 95 This can be an important matter because movement among patches by males and females may carry different implications for gene flow (Forister et al. 2004). Dispersal of E. aurinia 100 MRR has been done on both marsh and scrub ecotypes, and molecular work on the marsh ecotype. The most extensive study is that of Zimmerman et al. (2011), in which individual movements of the marsh ecotype reached 10 km. Their large scale study predicted that 1% of females should travel 4 km, with 0.1% reaching 20 km. Working with an endangered set of populations in Belgium, Schtickzelle et al (2005) found the 105 insects to be quite mobile. In the UK, Warren (1994) wrote that observations of natural colonizations indicate that the species is "more mobile than previously thought," with a colonization range of "at least 15-20 km, much more than has been described for other colonial butterflies." Cowley et al. (2001) ranked E. aurinia 13th out of 44 species of British butterflies in terms of mobility, with 1 being the most mobile. 110 Molecular work on the marsh ecotype has given conflicting results. Joyce & Pullin (2003), working in 17 Succisa-feeding E. aurinia populations across the UK from southern England to the Outer Isles of Scotland, found Fst values of 0.012 to 0.10 within population groups, a mean Fst of 0.16 across the entire set of populations and high genetic 115 diversity (He = 0.267) within populations. There was no significant divergence among populations less than 20 km apart and no evidence of recent bottlenecks in any of the populations. Their conclusion was that in each area the insect had a metapopulation structure within which effective population size was high and local reductions in numbers were offset by migration. 120 In contrast to the UK study, Sigaard et al. (2008) did find evidence of bottlenecks and drift among "critically endangered" Danish populations of the marsh ecotype. They found an overall mean Fst of 0.16, the same value as Joyce & Pullin, but over a much smaller area, with the most distant population pair separated by only about 60 km rather 125 than the 800 km in Joyce & Pullin's study. Sigaard et al. (2008) also found significant differentiation (Fst = 0.10) between populations separated by only 5-6 km. They expressed surprise at the difference between their results and those of Joyce & Pullin, wondering whether the cause was that they used microsatellites while Joyce and Pullin (and all the other studies we cite here) used allozymes. However, they cite several 130 studies, including one from butterflies (Meglecz et al. 1998), in which allozyme and microsatellite analyses gave similar Fst values. The southern Lonicera-feeding ecotype is not at all endangered, perhaps not even in decline (Junker & Schmitt (2010). Mean dispersal distances were 53 m for males and 39 135 m for females, in a study area where movements of 400 m seemed possible and a few movements of over 300 m were observed. Sample sizes were high: 2,568 insects marked with 1,150 recaptures of 735 individuals. The distribution of distances moved showed no sign of bimodality. More than in most MRR studies, we might have some confidence that dispersal distances in this case were truly low. 140 Dispersal of E. editha Although E. editha has been subjected to MRR on many occasions, there is no large-scale study comparable study to the work of Zimmerman et al (2011) on E. aurinia. Ehrlich 145 (1965) marked Bay Checkerspots that appeared restricted to small patches of barren serpentine grassland with very low sward height. He observed that the butterflies typically turned around when reaching vegetation more than 30cm high in the surrounding matrix of less toxic sandstone, and his recapture data showed very little movement between patches separated by 200-300 m. Over a four-year period, he 150 recaptured 1021 of 1048 butterflies in their patch of origin, so 2.6% of the recaptured insects were observed to have moved between patches. In the same study area, Brussard et al. (1974) observed heterogeneity among individuals in the extent to which they moved around within a single patch of about 150 x 300 m. Among those captured more than 5 times, some had restricted their movements to 5-10% of the available area in their habitat 155 patch while others ranged across all the entire patch of around 2 ha. Individuals moved least when densities were highest. Working with a different set of populations in the same meadow ecotype, Harrison et al. (1988) described an island-mainland metapopulation structure with a large mainland 160 population numbering several thousand adult insects, surrounded by 27 "islands" of which seven were colonized, with population size estimates from 10 to 344. Using MRR and patch occupancy data, they observed movements between patches of 0.1 to 0.9km. They estimated that a 50% probability of colonization of an island 3 km from the mainland would require 3 years, 6 km would require 24 years and 8 km more than 50 165 years. In the ten years following extirpation of all the island populations by a drought, nine colonizations, presumably most occurring from mainland to island, were observed to occur, across a maximum distance of 4.5 km (Harrison 1989). These studies give some idea of the ability of the Bay Checkerspot to disperse, recognize, 170 and colonize habitat patches. However, the species E. editha encompasses many ecotypes, at least one of which is more dispersive than the Bay checkerspot. Gilbert & Singer (1973) found that Bay checkerspots moved an average of about 47 m between mark and recapture, and turned around when they encountered shrubby vegetation, while chaparral-dwelling conspecifics from a habitat only 60 km distant moved an average of 175 around 230 m and flew over shrubs without hesitation. In two separate studies E. editha were not able to navigate efficiently across landscapes towards preferred habitat patches. Harrison (1989) released Bay checkerspots in nonhabitat at different distances from a habitat patch. She found that the insects moved 180 much further and faster through non-habitat than across habitat, but that they moved in random directions with respect to habitat patches that were 50 m or more distant. They were not able to orient to distant habitats. Likewise, Boughton (1999) found that montane E. editha located habitat patches simply by entering them and only then responded to their quality. When approaching patch boundaries the insects entered 185 patches without regard to their quality, but after entering the patches they then emigrated at a higher rate from the less-preferred patch type. McKechnie et al. (1975) published data on allozyme frequencies in E. editha, covering several ecotypes, including the two studied by Gilbert & Singer. They found little genetic 190 differentiation among populations, with mean Fst values (calculated by Slatkin 1985) of 0.06 across all loci. They used prior direct observations of restricted movement in MRR studies to argue that low Fst values were caused by similar selection acting at different sites and not by higher migration among them than expected from MRR data. Slatkin (1985) expressed polite, but strong skepticism of this interpretation. His re-analyses 195 showed that, under the assumption that all populations were evolving independently, all loci studied by McKechnie et al. would indeed have been under selection, but this selection would not have favored heterozygotes as the authors claimed. Slatkin's preferred explanation of weak population differentiation seemed to be that because of current or recent gene flow, populations were not actually evolving separately, that the 200 calculations of selection at work were invalid for this reason, and that migration was the main factor responsible for the level and nature of between-population genetic divergence. 205 References Anthes, N., T. Fartmann, et al. (2003). “Combining larval habitat quality and metapopulation structure – the key for successful management of pre-alpine Euphydryas aurinia colonies.” Journal of Insect Conservation 7(3): 175-185. 210 Boughton D.A. 1999. Empirical evidence for complex source-sink dynamics with alternative states in a butterfly metapopulation. Ecology 80: 2727-2739 Boughton D.A. 2000. The dispersal system of a butterfly: a test of source-sink theory suggests 215 the intermediate-scale hypothesis. American Naturalist 156: 131-144. Brussard, P. F., M. C. Singer & P. R. Ehrlich. 1974. Adult movements and population structure in Euphydryas editha. Evolution 28: 4080-415. 220 Bulman, C.R., Wilson, R.J., Holt, A.R., Gálvez Bravo, L., Early, R.I., Warren, M.S. & Thomas, C.D., 2007. Minimum viable metapopulation size, extinction debt, and the conservation of a declining species. Ecological Applications, 17: 1460-1473. Cowley, M. J. R., C. D. Thomas, D. B. Roy, R. J. Wilson, et al. 2001. Density-distribution 225 relationships in british butterflies; the effect of mobility and spatial scale. Journal of Animal Ecology 70: 410-425 Ehrlich, P. R. 1965. The population biology of the butterfly Euphydryas editha II. the structure of the Jasper Ridge colony. Evolution 19: 327-336 230 Ford, H. D. & Ford, E. B. 1930. Fluctuation in numbers and its effect on variation in Melitaea aurinia (Rottembourg, 1775) (Lepidoptera: Nymphalidae). Trans Roy Ent Soc Lond. 78: 345351. 235 Forister, M.L., Fordyce, J.A. & Shapiro, A.M. (2004) Geological barriers and restricted gene flow in the holarctic skipper Hesperia comma (Hesperiidae). Molecular Ecology, 13, 3489– 3499. Gilbert, L. E. & M. C. Singer. 1973. Dispersal and gene flow in a butterfly species. American 240 Naturalist 107: 58-72. Hanski, I. (1999) Metapopulation Ecology, Oxford University Press, Oxford, UK. Hanski, I. 2011. Eco-evolutionary spatial dynamics in the Glanville Fritillary butterfly. 245 Proceedings of the Natlional Academy of Sciences 108: 14397-14404. Harrison, S. 1989. Long-distance dispersal and colonization in the bay checkerpsot butterfly, Euphydryas editha bayensis. Ecology 70: 1236-1243 250 Harrison, S., D. D. Murphy & P. R. Ehrlich. 1988. Distribution of the Bay checkerspit butterfly, Euphydryas editha bayensis; evidence for a metapopulation model. American Naturalist 132: 360-382. Joyce, D.A. & Pullin, A.S., 2003. Conservation implications of the distribution of genetic 255 diversity at different scales: a case study using the marsh fritillary butterfly (Euphydryas aurinia). Biological Conservation, 114: 453-461. Junker, M. & Schmitt, T., 2010. Demography, dispersal and movement pattern of Euphydryas aurinia (Lepidoptera: Nymphalidae) at the Iberian Peninsula – An alarming example in an 260 increasingly fragmented landscape? Journal of Insect Conservation, 14: 237-246. Kuussaari, M., M. Nieminen & I. Hanski. 1996. An experimental study of migration in the Glanville Fritillary butterfly, Melitaea cinxia. Journal of Animal Ecology. 65:791-801 265 McKechnie, S. W . , Ehrlich, P. R . , White. R . R . 1975 . Population genetics of Euphydryas butterflies. I. Genetic variation and the neutrality hypothesis. Genetics 81: 571-94 Meglecz E, Pecsenye K, Varga Z, Solignac M. 1998. Comparison of differentiation pattern at allozyme and microsatellite loci in Parnassius mnemosyne (Lepidoptera) 270 populations. Heredity 128: 95–103. Schtickzelle, N., Choutt, J., Goffart, P., Fichefet, V. & Baguette, M., 2005. Metapopulation dynamics and conservation of the marsh fritillary butterfly: Population viability analysis and management options for a critically endangered species in Western Europe. Biological 275 Conservation, 126: 569-581. Sigaard, P., C. Pertoldi, A. B. Madsen, B. Sogaard & V Loeschke. 2008. Patterns of genetic variation in isolated populations of the endangered butterfly Euphydryas aurinia. Biological Journal of the Linnean Society 95: 677-687. 280 Slatkin, M. 1985. Gene flow in natural populations. Annual Review of Ecology and Systematics 16: 393-430 Stevens, V.M., Pavoine, S. & Baguette, M. (2010) Variation within and between closely 285 related species uncovers high intra-specific variability in dispersal. PLoS ONE, 5, article e11123 Thomas, C. D., M. C. Singer and D. Boughton. 1996. Catastrophic extinction of population sources in a butterfly metapopulation. American Naturalist 148: 957-975 290 Wahlberg, N., Klemetti, T., Selonen, V. & Hanski, I., 2002a. Metapopulation structure and movements in five species of checkerspot butterflies. Oecologia, 130: 33-43. (2000) Wahlberg, N., Klemetti, T. & Hanski, I., 2002b. Dynamic populations in a dynamic landscape: 295 the metapopulation structure of the marsh fritillary butterfly. Ecography, 25: 224-232. Warren, M. S. 1994. The UK status and suspected metapopulation structure of a threatened European butterfly, the Marsh Fritillary Eurodryas aurinia. Biological Conservation, 67: 239249. 300 Zimmerman, Kamil, et al., et al., et al. 2011. Mark-recapture on large spatial scale reveals long distance dispersal in the Marsh Fritillary, Euphydryas aurinia. Ecological Entomology. 36: 499-510. 305 Additional literature not referred to in text Brommer, J.E. & Fred, M.S. (2007) Accounting for possible detectable distances in a comparison of dispersal: Apollo dispersal in different habitats. Ecological Modelling, 209, 407–411. 310 Ehrlich, P.R., D.D. Murphy, M.C. Singer, C. B. Sherwood, R.R. White and I.L. Brown. 1980. Extinction, reduction, stability and increase: the responses of checkerspot butterfly populations to the California drought. Oecologia 46: 101-105. 315 Fric, Z., Hula, V., Klimova, M., Zimmermann, K. & Konvicka, M. (2010) Dispersal of four fritillary butterflies within identical landscape. Ecological Research, 25, 543–552. Hanski, I., Saastamoinen, M. & Ovaskainen, O. (2006) Dispersal-related life-history trade-offs in a butterfly metapopulation. Journal of Animal Ecology, 75, 91–100. 320 Junker, M., Wagner, S., Gros, P. & Schmitt, T. (2010) Changing demography and dispersal behaviour: ecological adaptations in an alpine butterfly. Oecologia, 164, 971–980. Munguira, M.L., Martín, J., García-Barros, E. & Viejo, J.L., 1997. Use of space and resources 325 in a Mediterranean population of the butterfly Euphydryas aurinia. Acta Oecologica, 18(5): 597-612 Snowberg, L. K. & D. I Bolnick. 2008. Assortative mating by diet in a phenotypically unimodal but ecologically variable population of stickleback. American Naturalist 172: 733739. 330 Stevens, V.M., Turlure, C. & Baguette, M. (2010) A meta-analysis of dispersal in butterflies. Biological Reviews, 85, 625–642. Thomas, C. D. and M. C. Singer. 1987 Variation in host preference affects movement patterns 335 within a butterfly population. Ecology 68: 1262-1267. Turlure, C., Schtickzelle, N. & Baguette, M. (2010) Resource grain scales mobility and adult morphology in butterflies. Landscape Ecology, 25, 95–108. 340 Wang, R., Wang, Y., Chen, J., Lei, G. & Xu, R. (2004) Contrasting movement patterns in two species of chequerspot butterflies, Euphydryas aurinia and Melitaea phoebe, in the same patch network. Ecological Entomology, 29, 367–374. Wang, R.J., Ovaskainen, O., Cao, Y.D., Chen, H.Q., Zhou, Y., Xu, C.R. et al. (2011) Dispersal 345 in the Glanville fritillary butterfly in fragmented versus continuous landscapes: comparison between three methods. Ecological Entomology, 36, 251–260. Wee, B. 2004 Effects of geographic distance, landscape features and host association on genetic differentiation of checkerspot butterflies. PhD disstertation, University of Texas at 350 Austin