Abstract
We used observational data collected during a mark-recapture study that generated a total of 7503 captures of 6108 unique individuals representing three endangered butterfly species to quantify inter-and intraindividual variation in temperature utilization and examine how activity patterns vary according to season, time of day, and ambient temperature. The Marsh Fritillary, the Apollo, and the Large Blue differed in utilized temperatures and phenology. Their daily activity patterns responded differently to temperature, in part depending on whether they were active in the beginning, middle or end of the season, in part reflecting interindividual variation and intraindividual flexibility, and in part owing to differences in ecology, morphology, and colouration. Activity temperatures varied over the season, and the Apollo and the Large Blue were primarily active at the highest available ambient temperatures (on the warmest days and during the warmest part of the day). The Marsh Fritillary was active early in the season and decreased activity during the highest temperatures. The relationship between individual lifespan and the average temperature was qualitatively different in the three species pointing to species-specific selection. Lifespan increased with an increasing range of utilized temperatures in all species, possibly reflecting that intra-individual flexibility comes with a general survival benefit.
Similar content being viewed by others
Introduction
Ongoing climate change imposes severe threats on biodiversity, ecosystem functioning, and human well-being worldwide1,2,3. This calls for an increased understanding of whether and how individuals, populations, and species cope with and are affected by changing and extreme temperatures. To enable the identification of underlying mechanisms, allow for reliable scenarios of future change, and assess the generality and reproducibility of research findings, it is also essential that the responses of species with different characteristics are simultaneously studied and systematically compared4,5. In response to increasing temperatures, species can move to colder areas2,6,7 by shifting distributions northwards (in the northern hemisphere) or to higher altitudes4,8,9. Besides large and small scale changes in species distributions, phenology changes are well-documented responses to elevated temperatures, with many species advancing their activity such that they become active earlier (or later) in the year10,11,12. Such phenology shifts may represent non-genetic responses in the form of developmental plasticity and phenotypic flexibility that has the potential to buffer against environmental change and uncertainty4. However, species and populations may also adapt to changing temperatures via genetically based evolutionary shifts in the shape of the reaction norm linking performance to temperature1,13. These can manifest as changes in the location of the optimal temperature or in the width of the thermal performance curve (see Fig. 1 in14).
Lepidopterans comprise a phylogenetically and functionally diverse, geographically widespread, and ecologically important group of animals that for long have attracted attention by ecologists and evolutionary biologists15,16. Being ectothermic, they are particularly well suited for studying responses to variation and change in temperature, both at different spatial and temporal scales and at different levels of organization, from behavioral and physiological responses of individuals to community-wide shifts in species composition and trait values17. For example, evidence is mounting that variation in range shifts, and phenology in response to climate change is associated with species traits18,19. However, species-level responses represent the joint outcome of the decisions and relative fitness of individuals. That temperature change may differentially affect different life cycle stages, from the egg-laying female to egg, larva, pupa, and imago, potentially complicating the situation further. For example, increased nitrogen loads may cause the shadowing of microclimatic conditions, and even in times of climate warming, the larvae of some butterfly species may suffer from lower temperatures on the ground20.
Adult insects, including butterflies, use a suite of physiological and behavioral adjustments to regulate body temperature, and their ability to maintain favorable temperatures is affected by several phenotypic traits, including body size and coloration21,22,23. Analogous to species range shifts, individuals can seek shade and select microhabitats with thermal properties that match their phenotypes and temperature preferences24. Analogous to phenology shifts, individuals can cope with unfavorable temperatures and avoid overheating by advancing or delaying the timing of their daily activities25. In principle, such intra-individual behavioral adjustments represent a form of phenotypic flexibility that can be targeted by natural selection and potentially undergo evolutionary shifts26. However, the evidence for this type of genetically based adaptation to rising and variable ambient temperatures is limited25,27. In particular, studies that quantify individual variation and estimate the magnitude and direction of selection on behavioral and physiological traits that influence the ability to cope with warm and changing thermal conditions are rare28. However, comparisons and knowledge of thermoregulatory mechanisms, seasonal and daily activity patterns, and how natural selection acts on thermal behaviors in different species can help assess their vulnerability to global warming22.
Here we studied how three globally endangered butterfly species (the Marsh Fritillary (Euphydryas aurinia), the Apollo (Parnassius apollo), and the Large Blue (Phengaris arion)) that differ in body size, color pattern, life-history, thermal niches, and phenology adjust their daily timing of activity depending on season and in response to changes in ambient temperature. We selected these three different and distantly related species in part because they are threatened and in part, because they differ in morphology, physiology, life-style and microhabitat use. Yet, they co-occur within our study site on northern Gotland (see below) thus allowing for powerful comparisons of their responses to temperature and temperature change. In addition to the between-species comparisons, we quantify both inter-and intraindividual variation in temperature utilization and explore how these are associated with the lifespan of individuals. Specifically, we examine whether and how: (i) the thermal niche changes over the season within each species, (ii) phenology differs between the three species, (iii) the thermal niche varies among the three species according to their phenology, (iv) the daily timing of activity is associated with ambient temperature, (v) the shape of the behavioral reaction norm linking activity to temperature is different for individuals that emerge and are active in the beginning, middle, or end of the flight period, and (vi) how thermal niches vary within species (are there differences between sexes, and do some individuals within each sex consistently utilize relatively low temperatures and others consistently utilize relatively high temperatures?). Finally, (vii) to evaluate natural selection and the potential for adaptive responses, we examine whether there is an association between the variation in the thermal preferences (utilized temperatures) and the lifespan of individuals. For this, we used a unique dataset of 7719 individually marked butterflies together with high-resolution temperature logger data.
Materials and methods
Description of studied species
The Marsh Fritillary, the Apollo butterfly, and the Large Blue are univoltine, rapidly declining species included in EU's Habitats Directive (Council Directive 92/43/EEC), protected by law within the EU and red-listed in Europe16.
The large blue is a small shiny blue butterfly with dark spots on the forewing measuring from 32 to 42 mm. It has a western Palaearctic distribution across large parts of Europe to China. It is a very local and thermophilic species associated with dry grasslands. In the study area the species occurs in dry unfertilized calcareous grasslands and alvar that in most places remain naturally open due to the poor soil and slow accumulation of humus. The butterfly visits many different flowers for nectar, while the larva specialises in feeding only Thymus serpyllum (in our study area). Females lay their eggs on the host plant. The butterfly is univoltine and active from July to August29. The larva hatches in August and is adopted by Myrmica ants to their nests, and the butterfly larvae continue feeding on ant broods as a parasite30. The larva hibernates in the ant nests and pupates in June. Parasitic wasps can attack the larvae, and the adult butterflies are sometimes caught by dragonflies and spiders31.
The Apollo is a large white butterfly from 73 to 87 mm with black and red elements of variable size on the wings. It has a scattered distribution across large parts of Europe to China. This iconic butterfly primarily inhabits areas where bare rocks and vegetation free surfaces occur. In the study area, the species occurs on open alvar terrain that in most places remains naturally open due to the lack of vegetation establishment on the limestone. Since the 1950ies, this threatened butterfly has disappeared from large areas and the remaining populations are very isolated. The butterfly is a keen visitor of many different flowering plant species for nectar, while the larva only feeds on Sedum album (in our study area). Females lay their eggs on shrubs, bushes and different vascular plants. The butterfly is univoltine and active from June to August29. The eggs overwinter, and the dark and orange conspicuously looking larvae hatch March/April and pupate in June.
The marsh fritillary is a butterfly with an average size of 33 to 48 mm in wingspan and orange to brown, with black dots. It is distributed in northern Africa and across large parts of Europe to China. It occurs very locally and is inhabits fens and ungrazed grasslands in the study area32,33. The butterfly is visiting different plant species for nectar, and the larva is specialized to only feed on Succisa pratensis (in our study area). Females lay egg batches under the leaves of the host plant. The butterfly is univoltine and active from May to June, and the larva hatch in July/August29. The larvae live gregariously and spin a silk web, by binding together leaves of the foodplant, in which they live and feed. After changing into the 4th instar the larva hibernates low down in vegetation and start to feed again in spring. The fully-grown larvae pupate in May/June.
Description of the study-area
The study area of 60 km2 (10 km × 6 km) is located close to Slite on the island of Gotland in the Baltic Sea (Fig. S1), Sweden (midpoint of the area: 57°69′N 18°69′E), where the butterflies occur across large areas. This is one of the last remaining areas in Europe that support viable populations of these butterflies within the same landscape. The climate is typical with cool summers and cold and rainy winters, and the average temperature is 7.2 °C (max in July with an average daily of 16.6 °C, and coldest in Feb with − 2.1 °C), and average yearly rainfall is 524 mm, and July to January has more rain per month (> 50 mm compared to February to June (< 33 mm). The study area is very diverse and captures 15 habitat types of the Habitats Directive. Some parts of the landscape have been extensively grazed by livestock, a farming practice that has intensified since 2000. Natural old forests, dominated by pine woodlands ranging from very open woodlands with single old trees on thin soils to dense forests on more rich soils, are scattered throughout the area. Agricultural fields with the use of pesticides, herbicides and inorganic fertilizer are delimiting the study area towards West and North East.
Data collection
We individually captured and marked all three butterfly species that we could catch from the 30th of May to the 4th of August 2020 (Fig. S2). This period covered all three studied species' start and end flight periods. Fieldwork was performed between 8 a.m. and 6 p.m. with suitable weather by up to ten persons. For each captured butterfly, species, sex, position, and time were registered. Butterflies were registered along irregular routes focused on covering all suitable habitats in focal areas within the study landscape (Fig. S3). Their lifespan was calculated as the time interval between the first and last capture. Surveys were not performed in unfavorable weather conditions such as rain (within one h after rainfall) and temperatures below 14 °C. The temperature was recorded at intervals of 1 h (even intervals) using the HOBO MX2202 pendant wireless temperature/light data loggers placed in shade 0.5 m above ground (Fig. S4). The temperature logger was placed in the core of the study area closest to the populations of the three butterfly species (Latitude: 57.72092, Longitude: 18.6831). We had access to ten other temperature logging stations distributed across our study area, revealing ambient air temperatures to be highly correlated (Table S1). Individual captures for each species were linked to the temperature data by 1-h bins (from 8:00 to 18:00).
Statistical analysis
For all statistical analyses, the R software was used34. To examine whether there is variation in utilized temperature among individuals within each species, we built General Linear Mixed Models (GLMMs). We tested two models with the realized temperature and sex as the response variable, the first one with butterfly individuals as a random term, against the null model, comparing the log-likelihood. We included sex as a factor in the models to test if individuals within each sex consistently utilize relatively lower temperatures and others utilize relatively higher temperatures.
To examine whether and how the daily timing is associated with ambient temperature while accounting for the cyclic nature of the time of the day, we used a trigonometric regression approach35. The time of the day was converted to radian (8:00 being 0 and 18:00 being 2*pi), allowing it to fit as a sine and cosine wave36 in a linear regression model. Similarly, to account for the seasonal activity changes, we converted the day of capture to radian, with 0 as the first day the species was recorded and 2*pi as the last day). The other continuous variable, the temperature, was scaled for all regression analyses. To control for possible effects of sex, we included sex as a fixed factor in the model. We also controlled the varying sampling effort by adding the number of persons involved in sampling as a fixed effect in all regression models.
To analyze how butterfly activity changes over the day, we first summed the number of individuals captured for each species in 1-h bins from 8:00 to 18:00 and then used a generalized linear model (GLM) with the number of individuals caught as the response variable and a negative binomial error structure. As explanatory variables (fixed effects), we included sex of the individual (to evaluate and account for differences between males and females), the temperature (with a linear term and a quadratic term of degree two), the time of the day (as sine and cosine wave) and its interaction with the linear temperature term, the day of the season (as sine and cosine wave) and the number of persons involved in the sampling.
To examine whether and how the thermal niche changes over the season within each species, we analyzed the temperature utilization relative to the time of the flying season with GLMs. The response variable was the presence/absence of the species in each daily hour bin. The explanatory variables were the temperature (with a linear term and the squared term to evaluate both linear and curvilinear associations), the day of the season (as sine and cosine wave), and their interaction and sex as a fixed factor. We did not evaluate the effects of interactions between sex and the other explanatory variables to avoid over-parametrization of statistical models and because sample sizes were very different for males and females, both of which may generate unreliable results and conclusions. However, to assess whether results were qualitatively similar or different in the two sexes, we also performed separate analyses for males and females. To test whether or not species were consistently flying above the average available temperature, we first computed the daily difference between the average available and average used temperature and then tested if the mean distribution of these differences is significantly different from zero using a one-sample t-test.
We used ggplot37 for spline curve-fitting technique to display available and realized temperatures along the flying season of each species, with 4, 7, and 4 knots for the Marsh Fritillary, the Apollo, and the Large Blue, respectively. For illustrative purposes (Fig. 2B), the season’s beginning, middle, and end were set as 2020-06-03, 2020-06-11, and 2020-06-20 for Marsh Fritillary; 2020-06-24, 2020-07-09, and 2020-07-23 for Apollo; and 2020-07-10, 2020-07-19, and 2020-07-29 for the Large Blue butterfly.
To examine the association between the individual variation in temperature utilization and lifespan, we used GLMs. We treated lifespan as the response variable. We included sex, median realized temperature (with a linear term and a quadratic term), realized temperature range, and date of the first capture as explanatory variables.
The package glmmTMB was used for the GL(M)Ms that assumed a negative binomial error with a log link function structure for the activity pattern, binomial for the temperature niche models, and a Gaussian error structure for the lifespan and individual thermal niche models. Model marginal effects and confidence intervals (CIs) were calculated using the ggeffects package38. Raw data plots illustrating the distribution of the analyzed data are presented in Fig. S5–S7.
Results
In 2020, we captured a total of 6108 (1430 Marsh Fritillary, 4518 Apollo, and 160 Large Blue) unique butterfly individuals. The recapture rate was 0.34, 0.10, and 0.28 for a total of 7503 captures (2164, 5109, and 230, respectively). The female frequency was 0.25, 0.29 and 0.20, respectively. Individuals of Marsh Fritillary, Apollo, and Large Blue butterflies were recaptured up to a maximum of 4, 5, and 4 times, respectively. The number of individuals recaptured at least three times was 124, 59, and 8, and at least four times was 35, 14, and 1, respectively.
Phenology
There were pronounced differences in phenology between the species. The Marsh Fritillary was active first (the first day is 28th of May, the median day is 7th of June, and the last day is 27th of June), followed by Apollo, which had the most extended activity period (the first day is 13th of June, the median day is 29th of June, and last day is 4th of August), and the Large Blue (the first day is 3rd of July, the median day is 19th of July, and last day is 4th of August) (Fig. 1a, Fig. S8). The Marsh Fritillary and Apollo showed seasonal peaks at the beginning of their flying periods. In contrast, the Large Blue showed a peak in the middle of the flying period (Fig. 1a, Table 1).
Comparisons of temperatures during activity among species and individuals
The average ambient daily air temperatures fluctuated considerably over the season, ranging from 10.7 to 23.7 °C, and the minimum and maximum temperature recorded during the study was 11.8 °C and 35.1 °C, respectively (Fig. 1b). The butterflies were active only during a restricted range of the available temperatures. The differences in utilized temperatures between species corresponded overall with the differences in phenology, being lowest (mean ± S.D.) 23.6 ± 2.5 °C for the Marsh Fritillary that appeared first in the season, 27.1 ± 4.3 °C for the Apollo and 25.7 ± 3.6 °C for the Large Blue (Fig. 1c). Although the utilized temperatures largely overlapped, particularly between the Apollo and the Large Blue, and were relatively broad, spanning ca 10–12 °C for each species, all pairwise differences between species were statistically significant (two-sample t-test) (Fig. 1c).
The broad range of utilized temperatures observed within each species was partly due to a combination of pronounced interindividual variation and high intra-individual flexibility. Data for individuals captured on three or more different days showed that there was also significant variation among individuals that belonged to the same sex, within all three species (Fig. S9). Part of the variation among individuals reflected differences between males and females, at least in the Marsh Fritillary, where females were active in higher temperatures than males (Fig. S10). Within each species, some individuals consistently utilized relatively low temperatures, whereas others consistently utilized intermediate or relatively high temperatures (effect of individual identity evaluated using log-likelihood ratio test, Marsh Fritillary: χ2 = 53.42, d.f. = 1, p < 0.0001; Apollo: χ2 = 23.18, d.f. = 1, p < 0.0001; Large Blue: χ2 = 2.98, d.f. = 1, p = 0.1126). The intraindividual temperature range during activity spanned on average ca 5 °C in all three species, but with considerable variability among individuals (Fig. S9). The intraindividual median temperature during activity also varied considerably among individuals, from 18 to 32 °C (n = 124) in the Marsh Fritillary, from 22 to 32 °C (n = 60) in the Apollo, and 23 to 29 °C (n = 8) in the Large Blue (Fig. S9).
Comparisons of daily activity patterns in relation to ambient temperatures
All three species exhibited distinct daily activity patterns modified by ambient temperatures (Table 1, Fig. 1c). The activity of the Marsh Fritillary generally peaked around noon and was highest on days with intermediate temperature; on hot days (primarily towards the end of their activity period around midsummer, see Fig. 2a), they became less active in the middle of the day (avoiding the highest temperatures) and were instead more active in the morning and late afternoon, compared with colder days. The activity of the Apollo also peaked around noon, and its activity coincided with the highest ambient temperatures. On colder days, the Apollo showed a clear peak of activity in the middle of the day and very low activity in both the morning and the evening, while on very warm days, this species became active earlier in the morning and remained active later in the afternoon, compared with intermediate and cold days. The daily activity of the Large Blue reached a peak around noon on cold and intermediate days, was highest on warm days, and differed from the other two species in the sense that on warmer days, the activity peak of the Large Blue shifted and occurred earlier in the day (Fig. 1c).
Utilized versus available temperatures
The comparisons of utilized and available temperatures show that both the seasonal phenology and the daily activity patterns of the three butterfly species were modified by environmental temperatures (Tables 1, 2, Figs. 1, 2). Although the temperatures at which butterflies were active consistently changed (increased, the Marsh Fritillary) or fluctuated (the Apollo and the Large Blue) over the season in concert with the variation in ambient temperatures, all three species were primarily active at the highest available ambient temperatures (on the warmest days and during the warmest part of the day), except towards the end of their respective activity periods and when the ambient temperatures were very high (Fig. 2).
Species-specific associations of utilized temperatures with lifespan
The relationship between the lifespan and the temperatures utilized by individuals was qualitatively different in the three species (Table 3). In the Marsh Fritillary, lifespan increased with increasing thermal preferences and increased range of utilized temperatures after statistically factoring out the effect of the date of the first capture (Table 3, Fig. 3a). In the Apollo, lifespan decreased with increasing thermal preferences and increased with an increasing range of utilized temperatures (Table 3, Fig. 3). There was a curvilinear (quadratic) association between lifespan and thermal preferences in the Large Blue, indicative of stabilizing selection, and a positive linear effect on the lifespan of the range of utilized temperatures (Table 3, Fig. 3). The correlation between the range of utilized temperatures and the number of capture events was weak at best (Marsh Fritillary: r = 0.18, p = 0.041, n = 124; Apollo: r = 0.16, p = 0.23, n = 59; and Large Blue: r = 0.06, p = 0.89, n = 8) (Table S2), suggesting that the increase in lifespan with increasing temperature range observed in all three species is not a spurious outcome but reflective of a true underlying association.
Discussion
Mapping of thermal environments together with high-resolution data on activity patterns and knowledge of how natural selection acts on thermal behaviors in different species can inform about variation in sensitivity to temperature change and ultimately help assess their vulnerability to global warming. This study aimed to investigate and compare the patterns, causes, and consequences of variation in phenology, daily timing of activity, and temperature utilization in three endangered butterfly species. We demonstrate that the Marsh Fritillary, Apollo, and the Large Blue differed in utilized temperatures and phenology and that their daily activity patterns responded differently to temperature. We argue that these differences between the species in part depend on whether they were active in the beginning, middle, or end of the season, and in part, reflect a combination of interindividual variation and intraindividual flexibility. In addition, differences between the three species in ecology, body size (wingspan), and coloration may have contributed to the observed dissimilarities, as discussed further below. We also show that activity temperatures varied over the season, with two species (the Apollo and the Large Blue) being primarily active on the warmest days and during the warmest part of the day, except on very hot days and towards the end of their respective activity periods. The Marsh Fritillary that was active early in the season instead decreased activity during the highest temperatures. Our study design allowed for novel insights into the fitness consequences of temperature utilization in butterflies. The demonstration that some individuals were consistently active at relatively low and others at relatively high ambient temperatures points to pronounced interindividual variation (within each of the two sexes) in thermal biology in all three species. The associations with individual lifespan illustrate this variability’s ecological importance, and the relationship between lifespan and average utilized temperature was qualitatively different in the three species (positive, curvilinear, and negative). We argue that this provides rare evidence of species-specific selection and fitness consequences of thermal preferences in butterflies. By contrast, the finding that lifespan invariably increased with an increasing range of utilized temperatures in all three species indicates that high intra-individual flexibility (i.e., broad activity temperatures) comes with a general survival benefit. These findings and their implications are discussed in greater detail below.
Do the differences in temperature utilization represent consequences of different phenotypes or species-specific adaptations to phenology?
Ectothermic animals such as insects may vary in temperature preferences as well as in their ability to regulate body temperature using a plethora of structural, morphological, physiological, and behavioral traits, including the selection of microhabitats with thermally suitable conditions22,23,24,39,40. In keeping with this notion, we propose that the differences between species in temperature utilization, phenology, and viability selection indicated by our results may be partly attributable to the thermal significance of body size and coloration22,41. Previous studies report spatial and temporal community-wide shifts towards smaller and paler species of butterflies in warmer climates27,42,43. Our findings that the largest species in this study, the Apollo butterfly, was active during the warmest part of the season and generally utilized the highest ambient temperatures do not conform with this pattern. However, the Apollo is also light in color (Fig. 1), which reduces the risk of overheating23,40. This species also showed reduced activity at midday during the hottest periods and a reduction in lifespan with increased average temperature utilization, indicating that avoiding overheating was indeed important. This interpretation fits well with previous demonstrations of intrapopulation trait variation, pointing to correlated evolution of body coloration, behavior, and thermal physiology40. By comparison, the Marsh Fritillary and the Large Blue were active earlier and later in the season when it might be important to increase body temperature by sun basking, and they are both darker in color (Fig. 1).
Being holometabolous insects with complex life cycles, there is potential for selection at the larval stage to influence the evolution of phenology and temperature utilization. Both the Marsh Fritillary and the Apollo have black larvae (Fig. 1) active in early spring when ambient temperatures are low, and the ability to increase body temperature by basking might allow for faster growth and development44,45. The larvae of the Large Blue occupy subterranean ants’ nests where their yellowish color likely plays little or no role in temperature regulation46. However, firm conclusions regarding the driver of associations of larval coloration with temperature and phenology are further complicated because the evolution of larval coloration may also be influenced by selection to avoid detection or attack by predators47,48.
Insofar as the extensive inter- and intraindividual variation in temperature utilization observed within each species is genetic in origin (heritable), the differential viability selection on temperature utilization indicated by our results may contribute to the evolution and continued maintenance of species-specific thermal biology. There is little doubt that the variation in temperature utilization among individuals within species and sexes demonstrated by our results is partly attributable to phenotypic differences in body size and coloration that may influence the capacity for temperature regulation and partly attributable to developmental plasticity and phenotypic flexibility. For example. temperature utilization may differ between individuals that hatch early versus late in the season due to the temperature conditions experienced earlier in life49. Studies of other species of butterflies show that the temperature, humidity, and light conditions experienced during the larval or pupal stage can induce the development of different color patterns of the imagoes50,51. It is also conceivable that acclimatization and developmental plasticity may result in associations of developmental temperature with thermal preferences and the shape of reaction norms linking performance to body temperature in adults52,53. However, to our knowledge, it has not been investigated whether this applies to any of the butterfly species studied here.
Why does phenology differ between the three species?
The substantial differences in phenology between the three species seemingly coincide with the variation in utilized temperatures. Notably, the Marsh Fritillary was active earliest in the season and utilized the lowest temperatures on average, compared with the other two species. Advanced phenology may be required to avoid overheating if the species are adapted to lower temperatures (low thermal optima). Conversely, their early adult flight period might have induced correlated microevolutionary shifts in behavior and thermal physiology such that they can better cope with lower temperatures54.
The differences may also reflect phenological synchrony between the butterflies and their respective host plants55. The butterfly species depend on their host plant for larvae development and nectar plants for adults. These plants are only available during certain time windows. The Marsh Fritillary larvae feed on Succisa pratensis from July to May that flowers in August/September56 and imagoes are nectaring from various flowers during the activity period. Apollo larvae feed on Sedum album from March to May, and the Large Blue larvae feed on Thymus serpyllum in August and forage on ant brood from September to May. Both the Apollo and the Large Blue feed almost exclusively on nectar from their host plants (e.g., Thymus serpyllum for the Large Blue, and Sedum album for Apollo) that flowers during the adult activity period. Besides searching nectar on their larval host plants, Apollo frequently visits the nectar-rich plants’ T. serpyllum and Centaurea scabiosa that have a longer flowering season and are available later in the season compared to the larval host plant Sedum album 29. The phenological separation between butterfly species may lessen interspecific competition for nectar resources. In our study area, these three sympatric species dominate the butterfly community, and if their activity periods were completely overlapping, over-exploitation might impair their foraging performance57. One way to evaluate this competitive displacement hypothesis would be to compare the patterns reported here with the phenology and temperature utilization of the same species in areas where they are allopatric/do not coexist.
Whatever ultimate driver(s) contributed to their evolutionary origin, we suggest that the phenology differences between the three species are maintained by ongoing selection. In support of this interpretation, our analyses revealed statistically significant viability selection on the seasonal timing of activity in two of the studied species (Table 3). In the Marsh Fritillary, individuals with a relatively early flight period survived longer than their later conspecifics. In the Large Blue, individuals that were active relatively late in the season instead had a longer lifespan. Together with the documented selection on temperature utilization, this may contribute to phenological adaptations and continued evolutionary divergence of phenologies in response to warmer future temperatures.
How will these species respond to continued climate change?
Theory and empirical evidence concur that the combination of large interindividual variation and high intra-individual flexibility observed in all three species may buffer the populations against environmental change and uncertainties, stabilize population dynamics, reduce the risk of local extinctions, facilitate the establishment of new populations, and promote evolvability18,58,59,60. Regarding the potential for evolutionary adaptations to increasing temperatures in the butterflies studied here, our results suggest that there exists variation in temperature utilization among individuals for selection to act upon in the populations of all three species. We cannot estimate the heritability of phenology or thermal traits from the data in this study. However, previous studies have revealed significant heritability estimates for thermal traits61,62. We observed associations of temperature utilization with lifespan indicative of selection in all three species. Given that all the requirements are met, we conclude that there is potential for adaptive responses and different microevolutionary shifts of thermal traits in the system studied here. Moreover, the general survival benefit of high intra-individual flexibility of activity temperatures will likely shield the populations against the erosion of genetic variation typically associated with directional selection53, thereby enabling future adaptive responses to continued climate change. The aforementioned directional viability selection on the seasonal timing of activity may also induce adaptive shifts in phenology. However, whether these responses will be sufficiently rapid to keep up with climate change is uncertain.
Regarding implications for population trends22, our results show that there were periods during the season and parts of days when stressful temperatures (too high or too low) suppressed activity, thereby likely constraining foraging and reproductive opportunities. However, firm projections require that the consequences of temperature change on other life-stages and other species with which the butterflies interact are also considered63. Maintaining phenological synchrony with host plants may be particularly important55.
In our study area, Marsh Fritillary decreased in occupancy by over 30% between 2018 and 2019 due to an extreme drought32. In Finland, a tenfold decline following the 2018 drought was observed in the closely related Glanville fritillary64. Previous studies have shown that Large Blue fluctuates dramatically in abundance65 and that populations often decrease following years with high temperatures and droughts46. Less is known about how the population dynamics of Apollo is affected by temperature, as it is very rare throughout the distribution66.
Regarding distribution shifts, the estimates of temperature utilization in our study are higher overall. Still, the differences between the three species are in qualitative agreement with the differences in thermal tolerances extracted from the species distribution areas67. Bladon, et al.22 report that butterfly species relying on microclimate selection have suffered larger spatial population declines over the last 40 years than those altering their temperature behaviourally. However, butterflies have generally declined in numbers and distribution throughout Europe16.
The consequences of changing temperatures go beyond the responses and species studied here. Butterflies interact with several other types of organisms, as competitors, pollinators, prey for spiders and birds, and even as predators (e.g., the Large Blue feeds on ants)27. There are thus many ways by which modifications in phenology, daily activity patterns, abundance, and distribution of these butterflies may cascade up and down in the ecosystems and affect the services they provide.
Conclusion and future directions
In sum, our results demonstrate striking differences among the three butterfly species in phenology, utilized temperatures, how ambient temperatures modified daily activity patterns, and how the individual variation in utilized temperatures was associated with lifespan. This emphasizes the need to simultaneously study and compare the responses to temperature change of species with different characteristics. The responses were strongly species-specific, even though the three species share a relatively similar ecology and lifestyle29, illustrating the difficulty of projecting how biodiversity will be affected by continued climate change. We detected stabilizing selection in the Apollo and a negative association of temperature utilization with lifespan in the Large Blue, both of which are highly thermophilic65,66, at this high-latitude and relatively cold study site is alarming. Climate change allows many species to spread northward, but where can these highly specialized butterflies escape continued warming?
To allow for firm conclusions regarding long-term responses and evolvability, an important next step is to determine whether the extensive interindividual variation and intraindividual flexibility in temperature utilization indicated by our results have a genetic basis and whether they are influenced by conditions experienced during the egg, larval or pupal stages. Future investigations should also investigate how changing, and extreme temperatures affect reproductive success, mortality of early life stages, recruitment, and population dynamics68,69.
Finally, studies that examine whether the patterns, underlying drivers, and fitness consequences of variation in temperature utilization documented in this study are different from those in other populations of the same species that occupy areas with different environmental and ecological conditions, particularly with regards to the seasonality of temperature regimes, may advance our understanding of the evolution of biodiversity and aid the development of strategies for its conservation.
Data availability
Data used in the preparation of this manuscript can be accessed in the database www.artportalen.se.
References
Scheffers, B. R. et al. The broad footprint of climate change from genes to biomes to people. Science 354, aaf7671 (2016).
Pecl, G. T. et al. Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being. Science 355, eaai214 (2017).
Nogués-Bravo, D. et al. Cracking the code of biodiversity responses to past climate change. Trends Ecol. Evol. 33, 765–776 (2018).
Forsman, A., Betzholtz, P.-E. & Franzén, M. Faster poleward range shifts in moths with more variable colour patterns. Sci. Rep. 6, 36265 (2016).
Voelkl, B. et al. Reproducibility of animal research in light of biological variation. Nat. Rev. Neurosci. 21, 384–393 (2020).
Rödder, D., Schmitt, T., Gros, P., Ulrich, W. & Habel, J. C. Climate change drives mountain butterflies towards the summits. Sci. Rep. 11, 14382 (2021).
Habel, J. C., Teucher, M., Gros, P., Schmitt, T. & Ulrich, W. Land use and climate change affects butterfly diversity across northern Austria. Landscape Ecol. 36, 1741–1754 (2021).
Hill, J. K. et al. Responses of butterflies to twentieth century climate warming: implications for future ranges. Proc. Biol. Sci. 269, 2163–2171 (2002).
Chen, I. C. et al. Elevation increases in moth assemblages over 42 years on a tropical mountain. Proc. Natl. Acad. Sci. 106, 1479–1483 (2009).
Cohen, J. M., Lajeunesse, M. J. & Rohr, J. R. A global synthesis of animal phenological responses to climate change. Nat. Clim. Change 8, 224–228 (2018).
Bell, J. R. et al. Spatial and habitat variation in aphid, butterfly, moth and bird phenologies over the last half century. Glob. Change Biol. 25, 1982–1994 (2019).
Hällfors, M. H. et al. Shifts in timing and duration of breeding for 73 boreal bird species over four decades. Proc. Natl. Acad. Sci. 117, 18557–18565 (2020).
Pruett, J. E. & Warner, D. A. Spatial and temporal variation in phenotypes and fitness in response to developmental thermal environments. Funct. Ecol. 35, 2635–2646 (2021).
Hall, M., Nordahl, O., Larsson, P., Forsman, A. & Tibblin, P. Intra-population variation in reproductive timing covaries with thermal plasticity of offspring performance in perch Perca fluviatilis. J. Animal Ecol 90, 2236–2347 (2021).
Ehrlich, P. R. & Hanski, I. On the Wings of Checkerspots: A Model System for Population Biology (Oxford University Press, 2004).
Warren, M. S. et al. The decline of butterflies in Europe: Problems, significance, and possible solutions. Proc. Natl. Acad. Sci. 118, e2002551117 (2021).
Kristensen, N. P. Lepidoptera: Moths and Butterflies. 1. Evolution, Systematics, and Biogeography. Handbook of Zoology Vol. IV, Part 35 (De Gruyter, 1999).
Forsman, A. & Wennersten, L. Inter-individual variation promotes ecological success of populations and species: Evidence from experimental and comparative studies. Ecography 39, 630–648 (2016).
Zografou, K. et al. Species traits affect phenological responses to climate change in a butterfly community. Sci. Rep. 11, 3283 (2021).
Stevens, C. J. et al. Nitrogen deposition threatens species richness of grasslands across Europe. Environ. Pollut. 158, 2940–2945 (2010).
Heinrich, B. The Thermal Warriors (Harvard University Press, 2013).
Bladon, A. J. et al. How butterflies keep their cool: Physical and ecological traits influence thermoregulatory ability and population trends. J. Anim. Ecol. 89, 2440–2450 (2020).
Tsai, C.-C. et al. Physical and behavioral adaptations to prevent overheating of the living wings of butterflies. Nat. Commun. 11, 551 (2020).
Ahnesjö, J. & Forsman, A. Differential habitat selection by pygmy grasshopper color morphs; interactive effects of temperature and predator avoidance. Evol. Ecol. 20, 235–257 (2006).
Ma, C.-S., Ma, G. & Pincebourde, S. Survive a warming climate: Insect responses to extreme high temperatures. Annu. Rev. Entomol. 66, 163–184 (2021).
Forsman, A. Rethinking phenotypic plasticity and its consequences for individuals, populations and species. Heredity 115, 276–284 (2015).
Hill, G. M., Kawahara, A. Y., Daniels, J. C., Bateman, C. C. & Scheffers, B. R. Climate change effects on animal ecology: Butterflies and moths as a case study. Biol. Rev. Camb. Philos. Soc. 96, 2113–2126 (2021).
Gilbert, A. L. & Miles, D. B. Natural selection on thermal preference, critical thermal maxima and locomotor performance. Proc. R. Soc. B Biol. Sci. 284, 20170536 (2017).
Eliasson, C. U., Ryrholm, N., Holmér, M., Gilg, K. & Gärdenfors, U. Nationalnyckeln till Sveriges flora och fauna. Fjärilar: Dagfjärilar. Hesperidae - Nymphalidae. (ArtDatabanken, SLU, 2005).
Thomas, J. A. & Wardlaw, J. C. The capacity of a Myrmica ant nest to support a predacious species of Maculinea butterfly. Oecologia 91, 101–109 (1992).
Vilbas, M. et al. Habitat use of the endangered parasitic butterfly Phengaris arion close to its northern distribution limit. Insect Conserv. Divers. 8, 252–260 (2015).
Johansson, V., Kindvall, O., Askling, J. & Franzén, M. Extreme weather affects colonization–extinction dynamics and the persistence of a threatened butterfly. J. Appl. Ecol. 57, 1068–1077 (2020).
Johansson, V., Kindvall, O., Askling, J. & Franzén, M. Intense grazing of calcareous grasslands has negative consequences for the threatened marsh fritillary butterfly. Biol. Cons. 239, 108280 (2019).
R Core Team. R: A Language and Environment for Statistical. R version 4.1.1. (2021).
Eubank, R. L. & Speckman, P. Curve fitting by polynomial-trigonometric regression. Biometrika 77, 1–9 (1990).
Allen, J. C. A modified sine wave method for calculating degree days. Environ. Entomol. 5, 388–396 (1976).
Wickham, H. & Wickham, M. H. The ggplot package. Google Scholar. http://ftp.uni-bayreuth.de/math/statlib/R/CRAN/doc/packages/ggplot.pdf, (2007).
Lüdecke, D. ggeffects: Tidy data frames of marginal effects from regression models. J. Open Source Softw. 3, 772 (2018).
Forsman, A. Some like it hot: Intra-population variation in behavioral thermoregulation in color-polymorphic pygmy grasshoppers. Evol. Ecol. 14, 25–38 (2000).
Forsman, A., Ringblom, K., Civantos, E. & Ahnesjo, J. Coevolution of color pattern and thermoregulatory behavior in polymorphic pygmy grasshoppers Tetrix undulata. Evolution 56, 349–360 (2002).
Ahnesjö, J. & Forsman, A. Correlated evolution of colour pattern and body size in polymorphic pygmy grasshoppers, Tetrix undulata. J. Evol. Biol. 16, 1308–1318 (2003).
Zeuss, D., Brandl, R., Brändle, M., Rahbek, C. & Brunzel, S. Global warming favours light-coloured insects in Europe. Nat. Commun. 5, 3874 (2014).
Heidrich, L. et al. The dark side of Lepidoptera: colour lightness of geometrid moths decreases with increasing latitude. Glob. Ecol. Biogeogr. 27, 407–416 (2018).
Porter, K. Basking behaviour in larvae of the butterfly Euphydryas aurinia. Oikos 38, 308–312 (1982).
Rolff, J., Johnston, P. R. & Reynolds, S. Complete metamorphosis of insects. Philos. Trans. R. Soc. B 374, 20190063 (2019).
Thomas, J. A., Simcox, D. J. & Clarke, R. T. Successful conservation of a threatened Maculinea butterfly. Science 325, 80–83 (2009).
Nilsson, M. & Forsman, A. Evolution of conspicuous colouration, body size and gregariousness: A comparative analysis of lepidopteran larvae. Evol. Ecol. 17, 51–66 (2003).
Mappes, J., Kokko, H., Ojala, K. & Lindström, L. Seasonal changes in predator community switch the direction of selection for prey defences. Nat. Commun. 5, 5016 (2014).
Bale, J. S. et al. Herbivory in global climate change research: direct effects of rising temperature on insect herbivores. Glob. Change Biol. 8, 1–16 (2002).
Otaki, J. M., Hiyama, A., Iwata, M. & Kudo, T. Phenotypic plasticity in the range-margin population of the lycaenid butterfly Zizeeria maha. BMC Evol. Biol. 10, 1–13 (2010).
Galarza, J. A. et al. Evaluating responses to temperature during pre-metamorphosis and carry-over effects at post-metamorphosis in the wood tiger moth (Arctia plantaginis). Philos. Trans. R. Soc. B 374, 20190295 (2019).
Kingsolver, J. G. The well-temperatured biologist: (American Society of Naturalists Presidential Address). Am. Nat. 174, 755–768 (2009).
Lafuente, E. & Beldade, P. Genomics of developmental plasticity in animals. Front. Genet. 10, 720 (2019).
Angilletta, M. J. Jr., Niewiarowski, P. H. & Navas, C. A. The evolution of thermal physiology in ectotherms. J. Therm. Biol 27, 249–268 (2002).
Posledovich, D., Toftegaard, T., Wiklund, C., Ehrlén, J. & Gotthard, K. Phenological synchrony between a butterfly and its host plants: Experimental test of effects of spring temperature. J. Anim. Ecol. 87, 150–161 (2018).
Adams, A. Succisa pratensis Moench. J. Ecol. 43, 709–718 (1955).
Lawton, J. H. & Strong, D. J. Community patterns and competition in folivorous insects. Am. Nat. 118, 317–338 (1981).
Forsman, A. Effects of genotypic and phenotypic variation on establishment are important for conservation, invasion, and infection biology. Proc. Natl. Acad. Sci. 111, 302–307 (2014).
Forsman, A., Betzholtz, P.-E. & Franzén, M. Variable coloration is associated with dampened population fluctuations in noctuid moths. Proc. R. Soc. B 282, 1–9 (2015).
Betzholtz, P. E., Franzén, M. & Forsman, A. Colour pattern variation can inform about extinction risk in moths. Anim. Conserv. 20, 72–79 (2017).
Klemme, I. & Hanski, I. Heritability of and strong single gene (Pgi) effects on life-history traits in the Glanville fritillary butterfly. J. Evol. Biol. 22, 1944–1953 (2009).
Mattila, A. L. Thermal biology of flight in a butterfly: genotype, flight metabolism, and environmental conditions. Ecol. Evol. 5, 5539–5551 (2015).
Russell, B. D. et al. Predicting ecosystem shifts requires new approaches that integrate the effects of climate change across entire systems. Biol. Let. 8, 164–166 (2012).
van Bergen, E. et al. The effect of summer drought on the predictability of local extinctions in a butterfly metapopulation. Conserv. Biol. 34, 1503–1511 (2020).
Thomas, J. A., Clarke, R. T., Elmes, G. W. & Hochberg, M. E. in Insect Populations in theory and in practice: 19th Symposium of the Royal Entomological Society 10–11 September 1997 at the University of Newcastle (eds J. P. Dempster & I. F. G. McLean) 261–290 (Springer Netherlands, 1998).
Nakonieczny, M., Kedziorski, A. & Michalczyk, K. Apollo butterfly (Parnassius apollo L.) in Europe—Its history, decline and perspectives of conservation. Funct. Ecosyst. Communities 1, 56–79 (2007).
Schweiger, O., Harpke, A., Wiemers, M. & Settele, J. CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367, 65–84 (2014).
Ashton, S., Gutierrez, D. & Wilson, R. J. Effects of temperature and elevation on habitat use by a rare mountain butterfly: Implications for species responses to climate change. Ecological Entomology 34, 437–446 (2009).
Klockmann, M. & Fischer, K. Effects of temperature and drought on early life stages in three species of butterflies: Mortality of early life stages as a key determinant of vulnerability to climate change?. Ecol. Evol. 7, 10871–10879 (2017).
Acknowledgements
Anders Birgersson, Bafraw Karimi, Demieka Säwenfalk, Emma Djurberg, Emma Drotz, Hanna Norman, Judith Askling, Junia Birgersson, Patrick Gant and Sara Nyberg assisted in collecting data in the field. We thank two anonymous reviewers for their helpful comments on the manuscript. The study was funded by Cementa AB, The Swedish Research Council for Sustainable Development, Formas (grant to M.F. and A.F. Dnr. 2018-02846), and Stiftelsen Oscar och Lili Lamms Minne (grant to VJ Dnr. FO2020-0023). The provincial government of Gotland provided necessary permits for the study.
Funding
Open access funding provided by Linnaeus University.
Author information
Authors and Affiliations
Contributions
A.F. and M.F. conceived the study. J.A., O.K., M.F. and V.J. coordinated the fieldwork. J.A., M.F., O.K., and V.J. collected the data. Y.F. analyzed the data under the supervision of A.F. and M.F. A.F., M.F., and Y.F. interpreted the data/results and wrote the first draft. All authors commented on the manuscript and approved the final version before submission.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Franzén, M., Francioli, Y., Askling, J. et al. Differences in phenology, daily timing of activity, and associations of temperature utilization with survival in three threatened butterflies. Sci Rep 12, 7534 (2022). https://doi.org/10.1038/s41598-022-10676-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-022-10676-0
This article is cited by
-
Within-habitat vegetation structure and adult activity patterns of the declining butterfly Euphydryas aurinia
Journal of Insect Conservation (2023)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.