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Article

Elevational Patterns of Blowfly Parasitism in Two Hole Nesting Avian Species

by
Gregorio Moreno-Rueda
Departamento de Zoología, Facultad de Ciencias, Universidad de Granada, 18071 Granada, Spain
Diversity 2021, 13(11), 591; https://doi.org/10.3390/d13110591
Submission received: 12 October 2021 / Revised: 12 November 2021 / Accepted: 17 November 2021 / Published: 18 November 2021
(This article belongs to the Special Issue Bird Parasites-2nd Edition)

Abstract

:
Climate change is predicted to cause shifts in parasite distributions, leading to encounters with new hosts. Mountains offer a natural experimental background to study how parasite distributions vary across climatic gradients. Parasite abundance is generally assumed to decrease with ascending elevation, as colder climates may preclude several parasites to complete their life cycles. The present study analyses the elevational variation in the prevalence and intensity of the blowfly Protocalliphora azurea found in the nests of two hosts—the coal tit (Periparus ater) and great tit (Parus major)—in Sierra Nevada (SE Spain). Protocalliphora azurea adults are free-living flies, while their larvae are nest-dwelling parasites that feed on nestling blood. In contrast to initial predictions, P. azurea larvae were less prevalent at lower elevations. In Mediterranean environments, the colder and damper climate of medium and high elevations might favour this parasite. Alternatively, greater anthropogenic perturbation in lowland environments may have a negative impact on the parasite. The findings also show that the two host species had similar parasite loads. As coal tits are half the size of great tits, this suggests that the coal tits were more severely parasitised. In conclusion, the generalised assumption that parasite abundance decreases with elevation does not hold true for the present case and elevational parasite patterns probably depend on specific host–parasite systems and climatic conditions in the mountains.

1. Introduction

Parasites take their resources from hosts, which reduces host fitness, so they have important implications in host ecology and evolution [1]. Hence, parasite ecology is a central topic in evolutionary ecology. One of the most studied host–parasite systems is that formed by nestling birds and their parasites. Bird nests often harbour a variety of arthropod parasites which feed on the nestlings’ blood, frequently with detrimental effects on their health, body condition, and survival [2,3,4,5,6] or on the parent future fitness if they respond to nest parasitism through increased feeding rate [7].
Several factors influence the parasite species that can be found in a nest and their abundance. For example, ambient temperature and humidity and food availability all affect the dispersal phase of nest parasites [8,9]. Abiotic conditions, such as temperature and humidity in the nest, also impact parasite colonisation and within-nest population size [10,11,12]. Nest-dwelling parasites may also be affected by other competitors and predators dwelling in the nest [13,14]. Moreover, host characteristics may affect parasite presence and abundance. Hosts display several antiparasitic strategies including, in the case of nest ectoparasites, nest sanitation by adults and scratching by nestlings [15,16]. The strength of nestlings’ immune systems also plays an important role in defending them against nest-dwelling ectoparasites [17]. Ectoparasites provoke tissue and cell injuries in birds, which stimulate an immune response including inflammation and the activation of an array of leucocytes and immunoglobulins. This, in turn, has a negative impact on the parasite by physically preventing its access to the chick’s blood as well as damaging parasite tissues, thus reducing the amount of blood meal consumed by the ectoparasite and consequently its fecundity and survival [18]. Indeed, a strong nestling immune system is known to reduce the success of nest-dwelling ectoparasites [19,20,21,22,23]. Several of these factors that affect parasite success (and hence their presence or absence) vary geographically, including the host immune response [24], as it is influenced by food availability and temperature [25,26,27,28]. Therefore, nest parasite prevalence and intensity may vary according to geographical factors and the host species. However, we only have very limited knowledge of the geographical variations in bird nest parasites.
Climate change is expected to produce shifts in parasite distributions, particularly toward more northern latitudes (in the Northern Hemisphere) and higher elevations [29]. In fact, parasite abundance in Europe has increased in recent years [30]. These changes in distribution may lead to new host–parasite encounters, forcing host populations to deal with parasites with which they have not coevolved. It is hard to predict how these new host–parasite relationships will affect wildlife, but they could eventually lead to local extinctions of host populations [31].
Accordingly, elevational gradients in mountainous areas constitute a natural setting to study the geographical distribution of parasites along climatic clines. It is generally accepted that parasite abundance decreases with elevation [32]. This is a reasonable assumption, given that higher elevations mean ectoparasites have to deal with lower temperatures, less daily and annual time to complete their life cycles, and long periods of host hibernation, which probably increase ectoparasite mortality. However, there is not a lot of evidence available to support this assumption. The prevalence of the parasitic mite Riccardoella limacum on the land snail Arianta arbustorum is zero at high elevations [33]. Similarly, the abundance of feather mites (ectosymbionts whose parasitic role is still being debated) on birds diminishes with elevation [34]. However, the prevalence of haematophagous Acari on lizards has been reported to decrease [35,36], increase [37,38] or even remain constant [39] with increasing elevation, depending on the host–parasite system studied. Similar host–parasite systems involving nest-dwelling parasites and nestling birds also provide mixed results. Parasitism intensity by Philornis downsi (Diptera: Muscidae) larvae in Darwin’s finches nests in the Galapagos Islands was found to increase with elevation [40,41], but, by contrast, the parasitism intensity of Philornis carinatus in nests of house wrens (Troglodytes aedon) in Costa Rica decreased with elevation [42].
The present study analyses the elevational variation in parasite prevalence and intensity of the blowfly Protocalliphora azurea among coal tit (Periparus ater) and great tit (Parus major; Figure 1) nests located in pine forests of the Sierra Nevada mountain range (SE Spain). Protocalliphora azurea adults are free-living blowflies that lay their eggs in bird nests, parasitising a huge variety of bird species. Blowfly larvae shelter beneath nesting material and feed intermittently on nestlings’ blood, typically pupating once fledglings have left the nest [8]. Parasitism by P. azurea negatively affects nestling fitness, frequently reducing the haematocrit, body mass and tarsus length [43,44,45,46,47,48], increasing nestling stress [49] and even reducing nestling survival [50,51], recruitment [6] and future reproduction [52]. Despite the species’ widespread distribution and impact on birds, we know very little about the geographic variation in P. azurea parasitism (but see [53]), although among-habitat variation has been reported [49,54]. Adult blowflies overwinter out of the nest, and their activity is temperature-dependent; they are inactive at temperatures of less than 15 °C. Moreover, shorter pupation times occur at higher temperatures [8,55,56]. Hence, although nest microclimate is not necessarily subject to significant elevational variation when tits are inside the nest, the ambient temperature outside the nest during the adult phase and the temperature inside the nest during pupation probably decrease with elevation, negatively impacting on blowfly fitness. It is therefore predicted that blowfly parasitism (prevalence and/or intensity of infestation) will diminish with increasing elevation. Consequently, the goal of the present study is to test the hypothesis that parasitism decreases with elevation, using as a model system blowflies parasitising tits in a Mediterranean mountain.

2. Materials and Methods

The coal tit is a 10 g Palearctic passerine bird typically associated with pine forests [57]. The great tit is a 19 g Palearctic passerine forest bird associated with a wide range of forests [58]. The two species are distributed as resident across a broad elevational range in the southern Iberian Peninsula, from sea level to 2400 m [57,59]. Both species nest in cavities (usually tree cavities), so they readily use nest boxes for breeding [60]. Exploiting the use of nest boxes by these birds, in the winter of 2016, I placed 180 clean ICONA C model nest boxes (base: 200 cm2; height: 20 cm; hole diameter: 3 cm; material: wood with external plastic paint coating; more details in [61]) in three pine forests (60 nest-boxes per locality) situated across an elevational gradient in Sierra Nevada (south-eastern Spain). The three pine forest localities having been used since 2010 and were Albergue de Lecrín (36°56′ N, 3°30′ W; 1200 m asl), Puentepalo (36°58′ N, 3°24′ W; 1800 m asl) and Hoya del Portillo (36°58′ N, 3°19′ W; 2200 m asl). The pine forests consisted of reforestations, mainly of Pinus sylvestris, with little understory and were chosen to provide the most similar habitat possible along the elevational gradient. Nest boxes were hung 4–5 metres above the ground from a pine tree branch using a metal hook. Nest boxes were visited regularly (at least once per week) to identify the species breeding in each box and record nest box content (empty nest, eggs, nestlings, fledglings, etc.). The study only contemplated successful breeding attempts, that is, those in which at least one nestling fledged. The study includes a total of 37 coal tit nests (7 in Albergue de Lecrín, 14 in Puentepalo and 16 in Hoya del Portillo) and 30 great tit nests (21 in Albergue de Lecrín, 6 in Puentepalo, and 3 in Hoya del Portillo). Once fledglings left the nest, nest material was carefully revised and the presence and number of blowfly puparia per nest was recorded.
I analysed whether blowfly presence or absence in each nest varied with elevation using a Generalised Linear Model with a binomial distribution (parasitised or not parasitised) linked to a logit function. The predictive variables were locality, host species (coal tit or great tit) and their interaction. It was also analysed whether parasitism intensity (i.e., number of blowflies per parasitised nest, according to [62]) varied with elevation. In this case, only parasitised nests were used. Given the low sample size after splitting species by elevation, and as intensity did not differ between species (see Results), the infestation intensities for the two species were pooled to ascertain the elevational variation. The variation in intensity (log-transformed) was analysed with a linear model (ANOVA) using locality as the predictor. In addition, the elevational variation in intensity (with raw data) was analysed with a Generalised Linear Model. Student’s t-test was used to compare brood size and blowfly intensity between species as well as brood size between parasitised and non-parasitised nests. The normality and homoscedasticity of the model residuals were verified graphically and with the Shapiro–Wilk (normality) and Levene (homoscedasticity) tests [63]. The variable intensity of infestation was log-transformed to guarantee the normality of the data. Mean values (untransformed data) of blowfly intensity are given with the standard error. Raw data are available in Appendix A. Statistical analyses were carried out with Statistica 8.0.

3. Results

Brood size did not differ between the two species (coal tit: 6.13 ± 0.25, range = 2–8, n = 37; great tit: 5.73 ± 0.33 nestlings, range = 1–9, n = 30; t65 = 0.97, p = 0.34) nor between parasitised (5.88 ± 0.30 nestlings, n = 38) and unparasitised nests (6.00 ± 0.28 nestlings, n = 29; t65 = 0.30, p = 0.77). For both coal and great tits, the percentage of nests infested with blowflies was the lowest (14–33%) at Albergue de Lecrín, the locality at the lowest elevation (1200 m), and higher at both Puentepalo (1800 m) and Hoya del Portillo (2200 m) (50–86%; Figure 2). The Generalised Linear Model with binomial distribution showed that the prevalence of blowflies significantly varied among localities but did not differ between tit species (Table 1). The species*locality interaction was not statistically significant (Table 1). Great tit nests infested with blowflies had an average of 14.25 ± 3.27 pupae (range = 1–37, n = 12 nests), while coal tit nests had an average of 12.88 ± 2.68 pupae (range = 1–53, n = 26 nests). Infestation intensity did not differ between species (t36 = 0.30, p = 0.77). Intensity did not vary with elevation (F2,35 = 0.08, p = 0.92; pupae per nest: Albergue de Lecrín: 13.62 ± 3.62, n = 8; Puentepalo: 13.13 ± 3.76, n = 15; Hoya del Portillo: 13.33 ± 3.38, n = 15). A Generalised Linear Model provided similar results (Wald statistic: 0.095, p = 0.95).

4. Discussion

The findings show that fewer coal tit and great tit nests were infested with Protocalliphora azurea larvae in the locality at a lower elevation (Albergue de Lecrín, 1200 m), where only 14–33% of nests were parasitised. Meanwhile, at higher elevations, 1800 and 2200 m, the prevalence was ≥50% of nests. The localities at 1800 and 2200 m are colder than that at 1200 m and it was predicted P. azurea would have a lower prevalence at higher elevations, mainly considering that the adult is a free-living fly that may be affected by adverse climates. However, although some studies have reported lower blowfly infestation rates in colder and wetter years [13,64,65], humidity may have a greater influence than temperature in terms of regulating the fly’s distribution, especially in Mediterranean habitats which tend to be low humidity environments. Another study into blue tits (Cyanistes caeruleus) carried out close to the locality at 1800 m, found that P. azurea prevalence was higher in humid habitats than in dry forests [54]. In the Mediterranean environment inherent to Sierra Nevada, humidity increases with elevation due to lower temperatures (and therefore less evapotranspiration), snowmelt, and increased precipitation from clouds colliding with the high mountains. Experimental studies have also shown that blowfly larvae survival is lower in heated nest boxes [11,12]. Given that heating nest boxes affects nest humidity, it remains unclear whether larvae survival is affected by temperature or humidity [12]. In fact, nest humidity correlated positively with the number of P. azurea larvae in great tits breeding in Finland [66].
Alternatively, human perturbation, which decreases with elevation, might explain the lower prevalence of blowflies at Albergue de Lecrín. Indeed, while the pine forests in the localities at 1800 and 2200 m are relatively natural environments, the pine forest at Albergue de Lecrín is surrounded by agricultural land, mainly almond trees. Adult blowflies feed on flowers and fruits, so a degraded environment may reduce adult survival. This suggestion is supported by [67], who found a lower prevalence of P. azurea in nests sited in zones with degraded vegetation. Plus, biocides used by farmers might increase adult blowfly mortality. Indeed, contamination has been related to a reduced load of P. azurea [66,67]. Overall, they may be highly susceptible to environmental degradation and therefore represent good indicators of environment quality [68].
Elevational variation in blowfly prevalence could also be due to interactions with other species. The nest-dwelling haematophagous mite Dermanyssus gallinoides presents a negative correlation with blowfly prevalence [13]. However, no mite was found in the inspected nests, and only found fleas (Ceratophyllus gallinae) in Puentepalo, the locality at an intermediate elevation. Protocalliphora azurea pupae are parasitised by the parasitoid wasp Nasonia vitripennis, which may kill 21–69% of pupae [54]. Therefore, parasitoid wasps may have a significant effect on P. azurea population dynamics, but it is unknown how the abundance of this parasitoid varies with elevation. Similarly, there is a lack of information concerning the natural history affecting P. azurea adults, so we do not know how predators, parasites or competitors vary with elevation during the adult phase.
Host defence could also depend on elevation, thus resulting in a variation in blowfly prevalence. Nestling immune defence has been associated with reduced blowfly load [21,22,23] and the strength of the immune response is known to increase with temperature [27,28,69]. Therefore, maybe tit nestlings manifest a weaker immune response against blowflies in colder environments. Nevertheless, this notion remains to be proven.
Parasite abundance frequently increases with host density [70]. However, host density, on the basis of nest-boxes occupancy, did not increase with elevation (28 nests in Albergue de Lecrín, 20 in Puentepalo, and 19 in Hoya del Portillo), so this explanation does not seem plausible.
Lastly, the two species presented similar parasite prevalence and intensities, suggesting they were affected by blowflies to the same extent (given that brood size was also similar between the two species). However, this should be nuanced, as great tits are almost twice as big as coal tits. Hence, if blowflies had the same mass in the two species, the coal tits were more severely parasitised than the great tits. Blowfly parasitism is known to vary among species in sympatry [71], although the reason for this variation is poorly known. Variations in parasitisation do not seem to be influenced by differences in nest composition [72,73,74], but between-species differences in antiparasitic strategies may account for variations in blowfly load [56]. Grab et al. [22] suggested that small host should invest more in resistance against blowfly larvae because they are more vulnerable as a consequence of their reduced size. They compared two species with different average weights, the eastern bluebird (Sialia sialis, 24–25 g) and tree swallow (Tachycineta bicolor, 19–20 g), and the number of blowflies per nestling was considerably lower in the smaller species. However, this was not the case in the present study, where the two host species harboured similar blowfly loads, despite a much greater difference in weight. The two host species considered in this study, moreover, are phylogenetically much closer and have similar ecology, including nests with very similar structure and composition. So, it remains unknown as to why coal and great tits harbour similar quantities of blowfly larvae despite of their difference in body mass, but it seems that blowflies attain higher survival in coal tit nests.
The correlative nature of this study prevents clear conclusions from being reached. Although the most plausible explanations for the pattern found have been discussed, other variables not considered could be the underlying cause of this pattern. An ideal comparison would require a larger number of locations along various elevation gradients and a larger sample size, which was limited by the low rate of nest-box occupancy. In fact, the low nest-box occupancy precluded to obtain data at elevations below 1200 m, where the studied species also inhabit. Anyhow, the findings suggest that blowflies will not pose a threat to populations of birds inhabiting at higher elevations as a result of climate change and, in fact, blowfly populations at high elevations are which might be threatened by an increase in temperatures. Experimental studies and greater knowledge of the natural history of the dispersive phase of the blowfly (adults) would be necessary to understand the causes of geographic variation in the presence of this parasite.
In conclusion, the results of this study suggest that blowfly prevalence in coal and great tit nests increases with elevation in Mediterranean mountains, while intensity remains constant, at the least in the elevational range studied in Sierra Nevada. The reasons for this unexpected elevational pattern are yet to be clarified. The higher humidity of mid and high mountains in Mediterranean environments might favour blowflies at higher elevations; alternatively, a greater anthropogenic impact at lower elevations could have a negative effect on blowflies. Hence, the generalised assumption that parasite abundance decreases with elevation does not hold true for the present case and elevational parasite patterns probably depend on specific host–parasite systems and environmental conditions in the mountains.

Funding

The study was supported by the Spanish Ministerio de Economía y Competitividad (Plan Nacional projects CGL2014-55969-P and CGL2017-84938-P), financed with FEDER (European Union) funds.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of the Andalusian Government (protocol code 03-06-15-259).

Data Availability Statement

The data presented in this study are openly available in Appendix A.

Acknowledgments

I thank José Luis Ros-Santaella, Eliana Pintus, Abelardo Requena-Blanco, Nuria Mora Encinas and, above all, Mar Comas for their support during fieldwork. Comments by Voelker and anonymous referees improved the manuscript.

Conflicts of Interest

The author declares no conflict of interest.

Ethics Statement

The research was conducted under the research permits of both Junta de Andalucía (authorization code 03-06-15-259 for animal research) and National Park of Sierra Nevada (authorization code WQVipIDPNi6QiPoQo8BnGA==).

Appendix A

Table A1. Raw data used in the study, indicating nest identification, locality, number of P. azurea pupae found in the nest and host species.
Table A1. Raw data used in the study, indicating nest identification, locality, number of P. azurea pupae found in the nest and host species.
Nest IDLocalityP. azurea PupaeHost Species
A02Albergue de Lecrín0Parus major
A03Albergue de Lecrín22Parus major
A06Albergue de Lecrín0Parus major
A07Albergue de Lecrín23Parus major
A09Albergue de Lecrín0Periparus ater
A09Albergue de Lecrín0Parus major
A10Albergue de Lecrín0Periparus ater
A12Albergue de Lecrín0Parus major
A13Albergue de Lecrín0Parus major
A15Albergue de Lecrín0Periparus ater
A16Albergue de Lecrín17Parus major
A18Albergue de Lecrín0Parus major
A19Albergue de Lecrín0Parus major
A20Albergue de Lecrín0Parus major
A27Albergue de Lecrín0Parus major
A28Albergue de Lecrín0Parus major
A33Albergue de Lecrín0Periparus ater
A38Albergue de Lecrín0Parus major
A42Albergue de Lecrín0Parus major
A43Albergue de Lecrín10Parus major
A45Albergue de Lecrín0Periparus ater
A46Albergue de Lecrín2Parus major
A48Albergue de Lecrín0Periparus ater
A51Albergue de Lecrín0Parus major
A52Albergue de Lecrín2Periparus ater
A54Albergue de Lecrín5Parus major
A55Albergue de Lecrín28Parus major
A60Albergue de Lecrín0Parus major
H01Hoya del Portillo22Periparus ater
H03Hoya del Portillo16Periparus ater
H04Hoya del Portillo4Periparus ater
H08Hoya del Portillo40Periparus ater
H12Hoya del Portillo0Parus major
H13Hoya del Portillo4Periparus ater
H14Hoya del Portillo39Periparus ater
H19Hoya del Portillo6Periparus ater
H26Hoya del Portillo10Periparus ater
H34Hoya del Portillo0Periparus ater
H36Hoya del Portillo3Periparus ater
H37Hoya del Portillo1Parus major
H38Hoya del Portillo5Periparus ater
H43Hoya del Portillo0Periparus ater
H46Hoya del Portillo0Periparus ater
H50Hoya del Portillo2Periparus ater
H51Hoya del Portillo20Periparus ater
H55Hoya del Portillo24Periparus ater
H60Hoya del Portillo4Parus major
P01Puentepalo10Periparus ater
P02Puentepalo0Parus major
P03Puentepalo0Parus major
P04Puentepalo7Periparus ater
P14Puentepalo1Periparus ater
P21Puentepalo0Periparus ater
P23Puentepalo2Periparus ater
P25Puentepalo9Periparus ater
P28Puentepalo0Parus major
P29Puentepalo6Periparus ater
P32Puentepalo9Parus major
P33Puentepalo53Periparus ater
P36Puentepalo18Periparus ater
P43Puentepalo1Periparus ater
P46Puentepalo6Periparus ater
P53Puentepalo3Periparus ater
P54Puentepalo0Periparus ater
P57Puentepalo22Periparus ater
P59Puentepalo37Parus major
P60Puentepalo13Parus major

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Figure 1. Host species: (A) coal tit, (B) great tit. A blowfly larva parasitising a blue tit (Cyanistes caeruleus) nestling (C). Several blowfly puparia collected from a nest (D). Photos A and B courtesy of Mar Comas.
Figure 1. Host species: (A) coal tit, (B) great tit. A blowfly larva parasitising a blue tit (Cyanistes caeruleus) nestling (C). Several blowfly puparia collected from a nest (D). Photos A and B courtesy of Mar Comas.
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Figure 2. Percentage of coal tit (grey) and great tit (yellow) nests infested with blowfly larvae at each locality; the elevation is given in parenthesis. The numbers over bars indicate the sample size (number of nests inspected).
Figure 2. Percentage of coal tit (grey) and great tit (yellow) nests infested with blowfly larvae at each locality; the elevation is given in parenthesis. The numbers over bars indicate the sample size (number of nests inspected).
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Table 1. Results of a Generalised Linear Model with a binomial distribution linked to a logit function examining the effect of locality, species and its interaction (locality*species) on the prevalence of blowfly larvae in tit nests, with and without interaction. Degrees of freedom (DF), chi-squared, and p-values are indicated.
Table 1. Results of a Generalised Linear Model with a binomial distribution linked to a logit function examining the effect of locality, species and its interaction (locality*species) on the prevalence of blowfly larvae in tit nests, with and without interaction. Degrees of freedom (DF), chi-squared, and p-values are indicated.
DFχ2p
Locality211.530.003
Species10.4650.50
Locality*Species23.690.16
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Moreno-Rueda, G. Elevational Patterns of Blowfly Parasitism in Two Hole Nesting Avian Species. Diversity 2021, 13, 591. https://doi.org/10.3390/d13110591

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Moreno-Rueda G. Elevational Patterns of Blowfly Parasitism in Two Hole Nesting Avian Species. Diversity. 2021; 13(11):591. https://doi.org/10.3390/d13110591

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Moreno-Rueda, Gregorio. 2021. "Elevational Patterns of Blowfly Parasitism in Two Hole Nesting Avian Species" Diversity 13, no. 11: 591. https://doi.org/10.3390/d13110591

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Moreno-Rueda, G. (2021). Elevational Patterns of Blowfly Parasitism in Two Hole Nesting Avian Species. Diversity, 13(11), 591. https://doi.org/10.3390/d13110591

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