Adaptive responses to ecological uncertainty may affect the dynamics of interspecific interactions and shape the course of evolution within symbioses. Obligate avian brood parasites provide a particularly tractable system for understanding how uncertainty, driven by environmental variability and symbiont phenology, influences the evolution of species interactions. Here, we use phylogenetically-informed analyses and a comprehensive dataset on the behaviour and geographic distribution of obligate avian brood parasites and their hosts to demonstrate that increasing uncertainty in thermoregulation and parental investment of parasitic young are positively associated with host richness and diversity. Our findings are consistent with the theoretical expectation that ecological risks and environmental unpredictability should favour the evolution of bet-hedging. Additionally, these highly consistent patterns highlight the important role that ecological uncertainty is likely to play in shaping the evolution of specialisation and generalism in complex interspecific relationships.
Species that derive fitness benefits from symbioses often vary in the number of heterospecifics with which they interact1,2. Although prior comparative analyses and theory suggest that predators and parasites should rely on a greater number of prey or hosts in more variable and unpredictable environments3, this relationship has been challenging to detect empirically because the course and pace of co-adaptation4 are dictated not only by environmental factors, but also by the responses of all of the species involved5,6. Understanding how ecological uncertainty influences the degree of specialisation in co-evolving systems is especially important in the current context of global change because climatic patterns are becoming increasingly variable and unpredictable7,8,9,10 and many parasites, predators, and their symbionts already face significant threats of extinction11.
Obligate avian brood parasites—species that lay their eggs in the nests of other bird species and do not raise their own young—offer a tractable and well-characterised system12,13,14 for understanding the role of ecological uncertainty in shaping species interactions. Obligate brood parasites have evolved independently multiple times across the avian phylogeny (Fig. 1)15 and account for roughly 1% of the more than 10,000 extant bird species. These parasites exhibit wide diversity in their degree of host specialisation16,17 and use nearly 17% of all bird species as hosts (See Supplementary Data 1). For example, some brood parasites, like the brown-headed cowbird (Molothrus ater), are generalists that can parasitise 300 different known host species, whereas others, like the yellow-throated cuckoo (Chrysococcyx flavigularis), parasitise only a single one. Brood parasites and their hosts also show considerable diversity in parasitic virulence, degree of co-adaptation (as measured by endogenous traits including egg mimicry), host breeding strategy, and annual reproductive output18,19,20,21,22. Evolutionarily, more recently diverged brood parasites typically specialise on fewer host species, suggesting that new parasitic lineages arise through specialised interactions with a single or a few hosts23,24,25. Thus, characterising the factors that determine host diversity in brood parasites may not only improve our understanding of resource use and host–parasite coevolution in avian systems, but also, more generally, of the evolution, maintenance, and coexistence of ecological specialisation in symbioses26,27.
Diversification in reproductive behaviours under environmental uncertainty has been shown across a variety of animal taxa, most notably in insects28 and non-parasitic (i.e., parental) birds29. In parental bird species, including several hosts of brood parasites, behavioural bet-hedging has been proposed as a strategy to maximise fitness in highly unpredictable environments30. For example, cooperatively breeding superb starlings (Lamprotornis superbus) that live in temporally variable savannas use bet-hedging as a strategy to spread reproductive risk over years and within seasons31. In brood parasites, reproductive success is dictated by their hosts’ propensity to accept parasitic eggs and by their ability to raise parasitic chicks successfully12,32. As such, brood parasitism is a risky endeavour, and the degree of parasite specialisation is therefore likely to be determined by factors related to the availability and quality of parenting behaviours of potential hosts33. Specifically, host traits such as migratory behaviour, nesting architecture, breeding phenology, chick-provisioning strategies and resilience to environmental challenges, could drive brood parasites’ host choices by dictating the success of their young. In particular, environmental uncertainty experienced through climatic oscillations could favour the spread of a brood parasite’s reproductive effort across hosts with different behavioural profiles because a wider variety of options is likely to minimise variance in parasitic offspring recruitment across years34. If long-term success is obtained at the expense of a lower arithmetic mean fitness, then such a brood parasitic strategy may be considered a form of diversified bet-hedging35.
Based on the above arguments, we predict that (1) increasing unpredictability in climatic fluctuations should lead to increased phylogenetic diversity and/or number of hosts used by brood parasites; (2) that seasonal migration by hosts and shorter breeding seasons should favour generalisation by increasing the potential for missing out on egg laying in some host species’ nests altogether; (3) that greater reliance on uniparental hosts should favour increased host generalisation by increasing uncertainty in the provisioning of brood parasitic offspring; (4) that increased reliance on cooperatively breeding hosts that exhibit alloparental care should favour increased host generalisation by increasing the difficulty of successfully parasitising host nests; (5) that parasitising hosts with more enclosed nests should increase specialisation by providing brood parasitic offspring with greater physical and antipredatory protection; and (6) that larger mean host clutch sizes should promote specialisation by making parasitic eggs less likely to stand out and be rejected (Weber’s law36) or by being positively correlated with hosts that are likely better able to support the demanding energetic requirements of brood parasitic chicks22. To control for the possibility that host diversity is partly determined by opportunity and access, we also consider the potential effects of the number of bird species co-occurring with a parasite both locally and across its range, as well as potential geographic and taxonomic biases in available natural history knowledge by including the number of studies available on each parasite (i.e., research effort) as a covariate.
Here, we use phylogenetically informed analyses to examine the extent to which symbiont characteristics and environmental conditions (as measured by the mean, variability, and predictability of precipitation and temperature cycles) influence the degree of host specialisation in avian brood parasites. Specifically, we test ecological, climatic, and behavioural predictions related to the potential sensitivity of avian brood parasites to ecological risks. Our analyses provide new insights into how brood parasites use hosts and more generally, how ecological variability, as well as its interaction with key symbiont traits, shape the evolution of behavioural specialisation in interspecific interactions.
As is typical in many macro-ecological analyses (e.g., ref. 37), we find that ecological, climatic, and behavioural variables in our dataset are strongly correlated. We therefore reduced our original set of 16 potential predictors to 8 composite variables through principal component analysis (Table 1). This conservative approach reduces the potential for multicollinearity in downstream statistical models and prevents unrealistically simplistic interpretations of observed effects. Our response variables—host species richness (number of hosts) and host phylogenetic diversity (Faith’s Phylogenetic Diversity [P.D.] values)—were also found to be positively correlated (Supplementary Fig. 1; log-log pGLS regression: Beta ± SE = 1.12 ± 0.07; t = 16.86; df = 81; P < 0.001; lambda = 0.27), suggesting that in this particular system, two potentially different types of behavioural diversification actually convey similar kinds of information.
Summaries of our findings when using a minimum research effort threshold of inclusion of ten studies per parasite (see ‘Methods’) are provided in Tables 2, 3, and Supplementary Table 1, a well as depicted graphically in Fig. 2. Robustness analyses with progressively more conservative thresholds of inclusion (K = 10, 20, 30 or 50 studies) are presented as Supplementary Tables 2 and 3, and are largely consistent with the findings we detail below. As expected, the number and phylogenetic diversity of host species (Tables 2, 3 and Fig. 2a, b) are positively correlated with research effort.
Ecological, climatic, and behavioural predictors of host use
After accounting for this effect, we find that some, but not all types of variability in climate are negatively associated with specialisation in obligate avian brood parasites. Specifically, brood parasites increased the number and phylogenetic diversity of their hosts (Tables 2, 3 and Fig. 1c, d) in colder environments with more variable and unpredictable temperatures. This finding is consistent with the expectation that obligate brood parasites diversify their host choices when the ideal kind of host phenotype is difficult to predict. In contrast, xeric harshness is unrelated to both the number (Supplementary Table 1 and Fig. 2e) and phylogenetic diversity of hosts (Supplementary Table 1 and Fig. 2f). We note that a similar asymmetry in the effect of different types of environmental uncertainty has been reported in studies of reproductive and life history traits, including breeding phenology and rates of infidelity and divorce38,39. As in those cases, the absence of a statistically detectable effect of xeric harshness suggests that the evolution of host diversification in obligate brood parasites is unlikely to be driven by temporal variation in host provisioning, which tends to be highly influenced by precipitation-related pulses in resources40. The lack of detectable effects of host clutch size (Supplementary Table 1 and Fig. 2q–r) favours a similar conclusion because clutch size is a well-known proxy for provisioning capability22.
We conclude from the above findings that the effects of environmental uncertainty on host diversification in obligate avian brood parasites are likely to be primarily related to selection for ensuring that at least some parasitic offspring are properly thermoregulated when the timing and severity of extreme temperatures are difficult to predict41,42,43,44. The importance of thermoregulatory stability is further supported by our finding that increased reliance on hosts with enclosed nests is associated with the use of fewer and less phylogenetically diverse hosts (Tables 2, 3 and Fig. 2i, j). Enclosed nests can provide thermoregulatory benefits by buffering harsh temperature swings during critical stages of embryo and nestling development45,46. However, the positive effect of increased reliance on hosts with enclosed nests could also be related to the increased frequency of enclosed nests in the tropics, where parasites have access to a larger, more diverse pool of local hosts and a greater number of year-round residents (Table 1). In other words, the effects of enclosed nests could simply be an epiphenomenon of better opportunities for finding hosts that are particularly well-suited to a parasite’s requirements47. Beyond these possible benefits, using more hosts with enclosed nests may also favour host specialisation due to their reduced rates of predation46 and their association with smaller-bodied hosts18,25.
Traits that influence the quality, suitability, and/or availability of hosts (e.g., migration, length of the breeding season, and host–parent provisioning strategy) are also likely to influence host use because they can affect parasitic fitness directly. Accordingly, we find that brood parasites use fewer and less diverse hosts (Tables 2, 3 and Fig. 2i, j) when a greater portion of hosts are non-migratory. Restrictions in host availability may be particularly problematic for parasites that also migrate, because when both members of a symbiotic pair leave the breeding grounds even slight differences in the timing of spring return can potentially result in highly detrimental phenological mismatches. This general interpretation is consistent with current population trends in the common cuckoo (Cuculus canorus)—a generalist at the species level, but a specialist at the individual level—which has experienced strong declines in recent years48, apparently in response to phenological mismatches driven by climate change49,50. As such, while individual host selection decisions may manifest in response to ecological opportunism, habitat51, and developmental imprinting52 may also constrain host use.
Along similar lines, we also find a negative correlation between breeding season duration and number of host species (Table 2 and Fig. 2m), indicating that brood parasitism can be particularly challenging when the window of opportunity for egg laying is short32. Specifically, stringent time constraints are likely to favour less discriminant host selection in order to facilitate the initiation of breeding activities as early as possible (see ref. 53). Alternatively, environments with short breeding seasons could simply facilitate host diversification by increasing host breeding synchrony54. Either way, the notion that opportunity helps drive the diversity of host use in obligate brood parasites is further supported by our finding that parasites with access to a greater number of potential host species also tend to parasitise a larger and more phylogenetically diverse pool of hosts (Tables 2, 3 and Fig. 2k, l).
Variation in parental provisioning strategies offers another level of risk in brood parasitic host choice. For example, multi- and alloparental provisioning could improve survival of brood parasitic young21,55,56 through better nestling provisioning57,58 and nest sanitation59 than uniparental care. Accordingly, we find that parasites that rely more heavily on uniparental hosts exhibit higher host richness (Table 2 and Fig. 2o). Nevertheless, it is also possible that the presence of multiple caregivers could make it harder to parasitise nests altogether21,55,56. Our analyses support this alternative, specifically by uncovering a positive association between increased reliance on cooperative breeding hosts and host diversity (Table 3 and Fig. 2h). A similar, albeit marginal effect is observed on host richness (Supplementary Table 1 and Fig. 2g.).
Our results provide clear evidence in support of theoretical predictions3 that obligate avian brood parasites should diversify their patterns of host use to cope with increased uncertainty in climatic conditions (in this case temperature). Obligate brood parasites do not incubate and, therefore, cannot directly manipulate the environmental conditions to which their eggs are exposed. Accordingly, we have shown that when faced with increasing thermal uncertainty, brood parasites literally ‘lay their eggs into more than one basket’, a likely case of diversification bet-hedging28. We have also shown that uncertainty in host availability and behaviour lead to similar outcomes. Specifically, host types are likely to differ in their ability to counter environmental threats60 due to variation in traits such as parental care, habitat selection, and breeding phenology47,61,62. Thus, a properly balanced brood parasitic portfolio of host types may ensure that a stable amount of reproductive success is achieved no matter what environmental conditions and/or individual host idiosyncrasies a parasite experiences during its lifetime35. Overall, our results strongly indicate that dependence on a single (or a small number of) host species may only be a viable strategy when environments are stable and predictable and host performance is more likely to be reliable. Conversely, our results also show that using a phylogenetically diverse set of hosts that exhibit a range of behavioural and life history strategies can help reduce the risk of relying on heterospecifics to raise young whenever the ideal host phenotypes are difficult to predict. Ultimately, these findings highlight the important role of ecological uncertainty in shaping the nature of symbiotic relationships and driving the evolution of specialisation and generalism.
Life history variables
We aggregated environmental, parasite, and host species data associated with 84 species of obligate avian brood parasites from 19 genera and five different bird families16,17. This species list covers ~86% of all known brood parasitic species, including members of Cuculidae, Icteridae, Indicatoridae, Viduidae, and Anatidae (Fig. 1). The list also reflects current availability of environmental and host data for brood parasites (i.e., some parasitic species have extremely poor host records and are generally data deficient).
To avoid potential sampling biases3,25, we followed the standard practice of including the research effort allocated to each parasite species as a predictor of the number and phylogenetic diversity of host species in our models. Research effort was measured as the number of papers published on each parasitic species according to Google Scholar (as accessed on April 27, 2020). Only species with at least ten publications and a verified list of host species (https://www.fieldmuseum.org/blog/brood-parasitism-host-lists)63 were included in our main analyses (N = 81 obligate brood parasites). An additional robustness analysis with increasingly stringent criteria for inclusion was subsequently performed to verify that our findings were qualitatively independent from this threshold (Supplementary Tables 2 and 3). A summary list of parasitic species and their total number of known and suspected hosts can be found in Supplementary Data 2.
The number and identity of the respective host species for all 84 brood parasites in our dataset were determined by aggregating data from the online repository of the Field Museum of Natural History in Chicago, IL, USA63 and the published records of Johnsgard16. Life history data for hosts included information on clutch size, migratory status, nesting architecture, and chick-provisioning strategy (Supplementary Data 1 and Supplementary Note 1). Behavioural data on brood parasites included migratory status, geographic distribution, mean number of locally co-occurring bird species, and total number of bird species within their geographic range was obtained from Birdlife International (spatial grain of these analyses was 0.5° by 0.5°)64. Although we acknowledge that not every co-occurring species of bird is likely to be a potentially suitable host, we chose not to limit these lists in any way (e.g., by counting only species with specific nesting architectures or habitat), because doing so would have to be based on the active behavioural choices that parasites have already made and could therefore limit our ability to see why some parasites are more behaviourally constrained than others. Migration status was coded as a binary variable where species that migrate in any portion of their range are considered migratory. As in earlier studies, the local duration of breeding seasons across the world was estimated as the average number of months in a year in which net-primary productivity (NPP) is positive (which is indicative of increased insect and plant availability37). For each brood parasitic species, we use the average duration of breeding season across its breeding range. NPP data ranged from 2000 to 2016 CE and was obtained from the MODIS dataset from NASA Earth Observations (provided at 0.5° resolution; http://neo.sci.gsfc.nasa.gov; accessed 18 March 2016)65.
We computed climate data for every locality in the world from monthly mean values of precipitation (ml/month) and temperature (°C) in a time series from 1850 to 2005 as reconstructed by Ecoclimate.org using the CCSM4 climate model66. Variables extracted from these time series included the mean, variability (i.e., variance for temperature and coefficient of variance for precipitation), and Colwell’s predictability index67.
We used Bayesian phylogenetic mixed models (BPMM) to analyse our data as implemented in the R package MCMCglmm68. To account for uncertainty in the phylogenetic relationships between obligate brood parasitic species, we ran each model on 100 randomly selected tree topologies with Hackett’s backbone constraints69 downloaded from birdtree.org70. The resulting outputs were then combined into a single pseudo-posterior distribution and analysed accordingly. All continuous explanatory variables were Box–Cox transformed (R package: EnvStats)71, scaled, and subsequently reduced through principal component analysis (PCA) with varimax rotation (R package: psych72). Host phylogenetic diversity was estimated by averaging Faith’s P.D. values73 obtained from pruned host trees from the 100 randomly selected topologies using the R package picante74. Parasite migration had a high uniqueness value and was not highly loaded into any of the principal components derived from an initial PCA. To address this issue, we re-ran the PCA without it and proceeded to include it along with research effort and the resulting components of the new PCA as potential predictors in our fully parameterised model. Interactions between migration and both environmental harshness components (PC1 and PC2) were also included in the fully parameterised model to account for the possibility that migrants and residents differ in their exposure to local environmental cycles37. All statistical analyses were performed using the R statistical platform (R core team 2019). Sample sizes for BPMM varied depending on threshold for research effort (i.e., for K = 10, N = 81 brood parasites; for K = 20, N = 80 brood parasites; for K = 30, N = 76 brood parasites; and for K = 50, N = 73 brood parasites).
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Brood parasite and host information can be found at https://www.fieldmuseum.org/blog/brood-parasitism-host-lists. Climate data is reconstructed from the CCSM4 climate model at www.ecoclimate.org. Net-Primary Productivity data can be found at https://doi.org/10.3334/ORNLDAAC/1379. Parasite trait data is publicly available from www.birdlife.org. Phylogenetic data is from www.birdtree.org. Host trait data originates from a number of publicly available datasets detailed in Supplementary Note 1. Source data are provided with this paper.
The code used to conduct these analyses and generate these figures is available as Supplementary Data 3 accompanying this paper.
Levins, R. Evolution in Changing Environments: Some Theoretical Explorations. (Princeton University Press, 1968).
Clavel, J., Julliard, R. & Devictor, V. Worldwide decline of specialist species: toward a global functional homogenization? Front. Ecol. Environ. 9, 222–228 (2011).
Ducatez, S. Brood parasitism: a good strategy in our changing world? Proc. R. Soc. B: Biol. Sci. 281, 20132404 (2014).
Kawecki, T. J. & Ebert, D. Conceptual issues in local adaptation. Ecol. Lett. 7, 1225–1241 (2004).
Futuyma, D. J. & Moreno, G. The evolution of ecological specialisation. Annu. Rev. Ecol. Syst. 19, 207–233 (1988).
Abrams, P. A., Grover, J. P. & DeAngelis, E. D. L. The prerequisites for and likelihood of generalist‐specialist coexistence. Am. Naturalist 167, 329–342 (2006).
Bradshaw, W. E. & Holzapfel, C. M. Evolutionary response to rapid climate change. Science 312, 1477–1478 (2006).
Skelly, D. K. et al. Evolutionary responses to climate change. Conserv. Biol. 21, 1353–1355 (2007).
Norberg, J., Urban, M. C., Vellend, M., Klausmeier, C. A. & Loeuille, N. Eco-evolutionary responses of biodiversity to climate change. Nat. Clim. Change 2, 747–751 (2012).
Diffenbaugh, N. S. & Field, C. B. Changes in ecologically critical terrestrial climate conditions. Science 341, 486–492 (2013).
Dunn, R. R., Harris, N. C., Colwell, R. K., Koh, L. P. & Sodhi, N. S. The sixth mass coextinction: are most endangered species parasites and mutualists? Proc. R. Soc. B: Biol. Sci. 276, 3037–3045 (2009).
Davies, N. B. Cuckoos, Cowbirds and Other Cheats. (T & A D Poyser, 2000). https://doi.org/10.5040/9781472597472?locatt=label:secondary_bloomsburyCollections.
Stoddard, M. C. & Hauber, M. E. Colour, vision and coevolution in avian brood parasitism. Philos. Trans. R. Soc. B: Biol. Sci. 372, 20160339 (2017).
Thorogood, R., Spottiswoode, C. N., Portugal, S. J. & Gloag, R. The coevolutionary biology of brood parasitism: a call for integration. Philos. Trans. R. Soc. B: Biol. Sci. 374, 20180190 (2019).
Huelsenbeck, J. P., Nielsen, R. & Bollback, J. P. Stochastic mapping of morphological characters. Syst. Biol. 52, 131–158 (2003).
Johnsgard, P. A. The Avian Brood Parasites: Deception at the Nest. (Oxford University Press, 1997).
Soler, M. Avian Brood Parasitism: Behaviour, Ecology, Evolution and Coevolution. (Springer, Berlin Heidelberg, 2017). https://doi.org/10.1007/978-3-319-73138-4.
Krüger, O. & Davies, N. B. The evolution of cuckoo parasitism: a comparative analysis. Proc. R. Soc. Lond. Ser. B: Biol. Sci. 269, 375–381 (2002).
Hauber, M. E. Interspecific brood parasitism and the evolution of host clutch sizes. Evol. Ecol. Res. 5, 559–570 (2003).
Kilner, R. M. The evolution of virulence in brood parasites. Ornithological Sci. 4, 55–64 (2005).
Feeney, W. E. et al. Brood parasitism and the evolution of cooperative breeding in birds. Science 342, 1506–1508 (2013).
Medina, I., Langmore, N. E., Lanfear, R. & Kokko, H. The evolution of clutch size in hosts of avian brood parasites. Am. Naturalist 190, E112–E123 (2017).
Krüger, O., Sorenson, M. D. & Davies, N. B. Does coevolution promote species richness in parasitic cuckoos? Proc. R. Soc. B: Biol. Sci. 276, 3871–3879 (2009).
Krüger, O. & Kolss, M. Modelling the evolution of common cuckoo host-races: speciation or genetic swamping? J. Evolut. Biol. 26, 2447–2457 (2013).
Medina, I. & Langmore, N. E. The evolution of host specialisation in avian brood parasites. Ecol. Lett. 19, 1110–1118 (2016).
Büchi, L. & Vuilleumier, S. Coexistence of specialist and generalist species is shaped by dispersal and environmental factors. Am. Naturalist 183, 612–624 (2014).
De Mársico, M. C., Mahler, B., Chomnalez, M., Di Giácomo, A. G. & Reboreda, J. C. Host Use by Generalist and Specialist Brood-Parasitic Cowbirds at Population and Individual Levels. In Advances in the Study of Behavior (ed. Macedo, R.) Ch. 3, Vol. 42, 83–121 (Academic Press, 2010), https://doi.org/10.1016/s0065-3454(10)42003-3.
Hopper, K. R. Risk-spreading and bet-hedging in insect population biology. Annu. Rev. Entomol. 44, 535–560 (1999).
Farnsworth, G. L. & Simons, T. R. How many baskets? Clutch sizes that maximize annual fecundity of multiple-brooded birds. Auk 118, 973–982 (2001).
Starrfelt, J. & Kokko, H. Bet‐hedging—a triple trade‐off between means, variances and correlations. Biol. Rev. 87, 742–755 (2012).
Rubenstein, D. R. Spatiotemporal environmental variation, risk aversion, and the evolution of cooperative breeding as a bet-hedging strategy. Proc. Natl Acad. Sci. 108, 10816–10822 (2011).
Moskát, C., Barta, Z., Hauber, M. E. & Honza, M. High synchrony of egg laying in common cuckoos (Cuculus canorus) and their great reed warbler (Acrocephalus arundinaceus) hosts. Ethol. Ecol. Evolution 18, 159–167 (2006).
Brooker, L. C. & Brooker, M. G. Why are cuckoos host specific? Oikos 57, 301–309 (1990).
Botero, C. A., Weissing, F. J., Wright, J. & Rubenstein, D. R. Evolutionary tipping points in the capacity to adapt to environmental change. Proc. Natl Acad. Sci. 112, 184–189 (2015).
Olofsson, H., Ripa, J. & Jonzén, N. Bet-hedging as an evolutionary game: the trade-off between egg size and number. Proc. R. Soc. B: Biol. Sci. 276, 2963–2969 (2009).
Akre, K. L. & Johnsen, S. Psychophysics and the evolution of behavior. Trends Ecol. Evolution 29, 291–300 (2014).
Botero, C. A., Dor, R., McCain, C. M. & Safran, R. J. Environmental harshness is positively correlated with intraspecific divergence in mammals and birds. Mol. Ecol. 23, 259–268 (2014).
Poulin, B., Lefebvre, G. & McNeil, R. Tropical avian phenology in relation to abundance and exploitation of food resources. Ecology 73, 2295–2309 (1992).
Botero, C. A. & Rubenstein, D. R. Fluctuating environments, sexual selection and the evolution of flexible mate choice in birds. PLoS ONE 7, e32311 (2012).
Schwinning, S. & Sala, O. E. Hierarchy of responses to resource pulses in arid and semi-arid ecosystems. Oecologia 141, 211–220 (2004).
Visser, M. E., Holleman, L. J. M. & Caro, S. P. Temperature has a causal effect on avian timing of reproduction. Proc. R. Soc. B Biol. Sci. 276, 2323–2331 (2009).
Nevoux, M., Forcada, J., Barbraud, C., Croxall, J. & Weimerskirch, H. Bet-hedging response to environmental variability, an intraspecific comparison. Ecology 91, 2416–2427 (2010).
Salaberria, C., Celis, P., López‐Rull, I. & Gil, D. Effects of temperature and nest heat exposure on nestling growth, dehydration and survival in a Mediterranean hole-nesting passerine. Ibis 156, 265–275 (2014).
Ospina, E. A., Merrill, L. & Benson, T. J. Incubation temperature impacts nestling growth and survival in an open-cup nesting passerine. Ecol. Evolution 8, 3270–3279 (2018).
Nagy, J., Hauber, M. E., Hartley, I. R. & Mainwaring, M. C. Correlated evolution of nest and egg characteristics in birds. Anim. Behav. 158, 211–225 (2019).
Martin, T. E. et al. Enclosed nests may provide greater thermal than nest predation benefits compared with open nests across latitudes. Funct. Ecol. 31, 1231–1240 (2017).
Turtumøygard, T. & Slagsvold, T. Evolution of brood parasitism in birds: constraints related to prey type. Behaviour 147, 299–317 (2010).
Douglas, D. J. T., Newson, S. E., Leech, D. I., Noble, D. G. & Robinson, R. A. How important are climate-induced changes in host availability for population processes in an obligate brood parasite, the European cuckoo? Oikos 119, 1834–1840 (2010).
Saino Nicola et al. Climate change effects on migration phenology may mismatch brood parasitic cuckoos and their hosts. Biol. Lett. 5, 539–541 (2009).
Møller, A. P. et al. Rapid change in host use of the common cuckoo Cuculus canorus linked to climate change. Proc. R. Soc. B: Biol. Sci. 278, 733–738 (2011).
Koleček, J., Procházka, P., Brlík, V. & Honza, M. Cross-continental test of natal philopatry and habitat-imprinting hypotheses to explain host specificity in an obligate brood parasite. Sci. Nat. 107, 1–8 (2020).
Payne, R. B., Payne, L. L., Woods, J. L. & Sorenson, M. D. Imprinting and the origin of parasite–host species associations in brood-parasitic indigobirds, Vidua chalybeata. Anim. Behav. 59, 69–81 (2000).
Price, T., Kirkpatrick, M. & Arnold, S. J. Directional selection and the evolution of breeding date in birds. Science 240, 798–799 (1988).
Halupka, L. & Halupka, K. The effect of climate change on the duration of avian breeding seasons: a meta-analysis. Proc. R. Soc. B Biol. Sci. 284, 20171710 (2017).
Zink, A. G. & Lyon, B. E. Evolution of conspecific brood parasitism versus cooperative breeding as alternative reproductive tactics. Am. Naturalist 187, 35–47 (2016).
Wells, M. T. & Barker, F. K. Big groups attract bad eggs: brood parasitism correlates with but does not cause cooperative breeding. Anim. Behav. 133, 47–56 (2017).
Ursino, C. A., De Mársico, M. C., Sued, M., Farall, A. & Reboreda, J. C. Brood parasitism disproportionately increases nest provisioning and helper recruitment in a cooperatively breeding bird. Behav. Ecol. Sociobiol. 65, 2279–2286 (2011).
Cockburn, A. Prevalence of different modes of parental care in birds. Proc. R. Soc. B: Biol. Sci. 273, 1375–1383 (2006).
Guigueno, M. F. & Sealy, S. G. Nest sanitation in passerine birds: implications for egg rejection in hosts of brood parasites. J. Ornithol. 153, 35–52 (2012).
Dunn, P. O. & Winkler, D. W. Changes in timing of breeding and reproductive success in birds. In Effects of Climate Change on Birds. 113–128, (Oxford University Press, 2010) https://doi.org/10.1093/oso/9780198824268.003.0009.
Hauber, M. E. Site selection and repeatability in Brown-Headed Cowbird (Molothrus ater) parasitism of Eastern Phoebe (Sayornis phoebe) nests. Can. J. Zool. 79, 1518–1523 (2001).
Kilner, R. M. How selfish is a cowbird nestling? Anim. Behav. 66, 569–576 (2003).
Lowther, P.E. Brood Parasitism—host Lists. (Field Museum of Natural History, Chicago, IL, 2019) https://www.fieldmuseum.org/blog/brood-parasitism-host-lists.
BirdLife International and Handbook of the Birds of the World. Bird species distribution maps of the world. Version 2018.1. http://datazone.birdlife.org/species/requestdis (2018).
ORNL DAAC 2018. MODIS and VIIRS Land Products Global Subsetting and Visualization Tool. (ORNL DAAC, Oak Ridge, Tennessee, USA, 2016) https://doi.org/10.3334/ORNLDAAC/1379.
Lima-Ribeiro, M. S. et al. EcoClimate: a database of climate data from multiple models for past, present, and future for macroecologists and biogeographers. Biodiversity Informatics 10, https://doi.org/10.17161/bi.v10i0.4955 (2015).
Colwell, R. K. Predictability, constancy, and contingency of periodic phenomena. Ecology 55, 1148–1153 (1974).
Hadfield, J. D. MCMC methods for multi-response generalized linear mixed models: The MCMCglmm R Package. J. Stat. Softw. 33, 1–22 (2010).
Hackett, S. J. et al. A phylogenomic study of birds reveals their evolutionary history. Science 320, 1763–1768 (2008).
Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K. & Mooers, A. O. The global diversity of birds in space and time. Nature 491, 444–448 (2012).
Revelle, W. psych: procedures for psychological, psychometric, and personality research. Northwestern University, Evanston, Illinois. R package version 2.0.7, https://CRAN.R-project.org/package=psych (2020).
Faith, D. P. Conservation evaluation and phylogenetic diversity. Biol. Conserv. 61, 1–10 (1992).
Kembel, S. W. et al. Picante: R tools for integrating phylogenies and ecology. Bioinformatics 26, 1463–1464 (2010).
For partial funding, we thank the GAANN fellowship (to N.D.A.), the Harley Jones Van Cleave Professorship (to M.E.H.), NSF IOS-1953226 (to M.E.H.), National Geographic Society #NGS-60453R-19 (to M.E.H.), and the NSF IOS-1656098 (to D.R.R.). We would also like to thank P. Lowther for sharing brood parasite host lists, and C. Sheard for sharing published comparative data with us, Birdlife International for providing us with access to their database, and C. Goethe for assistance with data collation.
The authors declare no competing interests.
Peer review information Nature Communications thanks Oliver Krueger, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Antonson, N.D., Rubenstein, D.R., Hauber, M.E. et al. Ecological uncertainty favours the diversification of host use in avian brood parasites. Nat Commun 11, 4185 (2020). https://doi.org/10.1038/s41467-020-18038-y