Open Access
How to translate text using browser tools
1 July 2020 Late Quaternary Range Dynamics in the Common Grackle Quiscalus quiscula
Peter Capainolo, Utku Perktaş, Mark D.E. Fellowes
Author Affiliations +
Abstract

Climate variability is one of the most important forces affecting the distributional range dynamics of species and consequentially plays a significant role in shaping biogeographic patterns. This study aims to infer the role of climate in the recent evolutionary history of the Common Grackle Quiscalus quiscula. Studies of other migratory North American birds have shown that their populations were isolated in two or three refugia in southern North America during the Last Glacial Maximum (LGM). In contrast, preliminary genetic work suggests that Common Grackles may have occupied a single refugium during that time. They subsequently became widespread and northern populations evolved highly migratory behaviour. We used an ecological niche modelling approach that involved the use of three general climate models for the past (the LGM, approximately 22,000 years before present) and for present environmental conditions to identify climatically stable areas. Extrapolations to the past showed contraction to a large continuous refugium located in the southern part of North America, and projection to the present showed expansion that covers much of eastern and middle North America. The most important bioclimatic variable for model predictions was annual mean temperature, which explained 74% of the variation in the model. Results suggest that the Common Grackle has expanded its distributional range by more than 300% after the LGM.

img-z1-5_95.jpg

The distribution of species has been greatly influenced by changes in global climate. Notably, in the northern hemisphere, glacial cycles have major effects on the geographic distributions of species and therefore on their genetic diversity (Hewitt 1996, 1999). During the late Quaternary, the distributions of many species in temperate regions in the Nearctic and Western Palearctic were fragmented which caused a reconfiguration of patterns of genetic diversity in isolated geographical areas. These areas were climatically favourable and have been described as refugia (Stewart et al. 2010). To identify these refugia in temperate regions and to understand their consequences, the effect of past climate change on the geographic patterns of genetic diversity of various species have been studied. Evidence suggests that refugia permitted the persistence of isolated populations during unfavourable conditions, allowed allopatric differentiation and later acted as centres of range expansion (Bennett & Provan 2008, Schmitt & Varga 2012).

Birds are good model organisms for examining how past climates have affected current diversity and distributions; most species breeding in the northern hemisphere migrate south in winter and a large amount of occurrence data is available ( www.ebird.org) to researchers. North American species such as the Hairy Woodpecker Picoides villosus, Barred Owl Strix varia, Red-shouldered Hawk Buteo lineatus and Red-bellied Woodpecker Melanerpes carolinus, have been studied in terms of their historical biogeography using both ecological niche modelling and phylogeography (Klicka et al. 2011, Barrowclough et al. 2011, 2018, 2019, Wauchope et al. 2017). Range expansion and the development of migration patterns in two Holarctic breeding scolopacids, Dunlin Calidris alpina and Red Knot C. canutus have also been examined (Wenink et al. 1996, Buehler et al. 2006). Hence, expansion-contraction patterns of North American and Eurasian bird species have been well documented. Nevertheless, uncertainties remain in our understanding of how past climates have resulted in the current distribution, migratory status and population differentiation observed in many common species today. The Common Grackle Quiscalus quiscula provides a particularly useful system to examine these questions due to their ubiquity, population differentiation and historic interest as a model species.

Adult male ‘bronzed’ form of Common Grackle Quiscalus quiscula versicolor (photo Sharon Dorsey, Massapequa Preserve, Nassau County, New York, USA, February 2019).

img-z2-3_95.jpg

Common Grackles are large (28–34 cm) New World blackbirds (Icteridae) with iridescent plumage. East of the Rocky Mountains, their breeding range extends from British Columbia east to Nova Scotia and Newfoundland and south along the Atlantic Coast to the Florida Keys (Coues 1894, Bent 1958, Peterson 1980, Starzomski 2015). From the south-eastern Gulf Coast, their range continues into Texas and New Mexico, and north to Colorado, Utah, Nevada, Idaho and Montana. Common Grackles are permanent residents in much of their range, but northern birds migrate, often in huge flocks, to overwinter in the south-eastern United States (see Figure 1). The species has declined over the last several decades but is still abundant, with an estimated current population of 69,000,000 individuals (Bird Life International 2018). The literature suggests that the species increased in number and expanded its range after the mass clearing of forests in North America for agriculture (Peer & Bollinger 1997). They prefer wet areas of open and cultivated country and are comfortable in suburban yards and parks. Nests can be found in loose colonies or singly in low shrubs, shade trees, tall conifer stands and sometimes in eaves or holes in abandoned human structures. The breeding season begins around mid-March in southern portions of the range and late-March to mid-April in northern regions (Baicich & Harrison 1997).

The Common Grackle is considered a single polymorphic species (Dickinson & Christidis 2014). Three forms (subspecies) are recognized: Bronzed Grackle Q. q. versicolor, Purple Grackle Q. q. stonei and Florida Grackle Q. q. quiscula (Figure 3). The Florida form is a year-round resident throughout its range (Peer & Bollinger 1997). Versicolor and stonei meet along a line running along the Eastern Continental Divide of the Appalachian Mountains. From Louisiana to Connecticut they hybridize and produce offspring with a mix of colour characteristics referred to as ‘Ridgway's Grackle’ (Chapman 1924; see Figure 4). Chapman (1935) proposed that differentiation in Common Grackles was accomplished when an ancestral form (most likely the Florida Grackle) was separated into isolated populations in southern refugia after the last ice age. This was prescient of Chapman; subsequent studies have shown that several avian taxa became morphologically dissimilar by this process (Rand 1948, Mengel 1964, Lira-Noriega & Manthey 2013). However, this hypothesis has not been tested in the Common Grackle.

Figure 1.

Distribution range of the Common Grackle in North America. Approximate boundaries of three subspecies are indicated based on Bent (1958) and Jaramillo & Burke (1999). Line and black dots show hybrid zones and sampling sites respectively in Zink et al. (1991). Numbers indicate our specimen collection sites that cover one region missing in Zink et al. (1991).

img-AXp_95.jpg

In addition to morphometric studies of this species conducted since Chapman's work, Powell et al. (2008) used mtDNA to infer relationships at the species level in Quiscalus. The Common Crackle was the model species used for assessing variation, population structure and evolution by Zink et al. (1991). Genetic work has focused on a small number of loci or an analysis of family and generic relationships, not species level systematics (Lanyon & Omland 1999, Powell et al. 2008, Remsen et al. 2016). Our preliminary mtDNA analysis (Capainolo & Perktaş unpubl. data) revealed no concordant pattern between morphology and genetic variation, although the Common Grackle shows substantial morphological variation within its range. This means subspecies are not geographically isolated from one another due to lack of isolating mechanisms such as geographical barriers or rapid population expansion. We tested this hypothesis, and our preliminary mtDNA data showed no structure in the current distribution range. In cases where morphological discontinuity is due to high gene flow, rapid adaptation and/or rapid population expansion, discordance may be expected between patterns inferred from morphological variation and those inferred using neutral genetic markers (e.g. mtDNA). Various studies have proposed such patterns for Common Crossbill Loxia curvirostra (Questiau et al. 1999), Song Sparrow Melospiza melodia (Zink & Ditmann 1993) and for the Australian Magpie Gymnorhina tibicen (Toon et al. 2003). In this study we return to Chapman's original hypothesis and examine the distributional range dynamics of the Common Grackle during the late Quaternary. Using an ecological niche modelling approach, we tested whether this species followed an expansion-contraction pattern in its biogeographic history.

Figure 2.

Species occurrence data and its distribution in the range of the Common Grackle.

img-z4-2_95.jpg

Figure 3.

Dorsal view of three subspecies of Common Grackle. Breeding males left to right: Bronzed Grackle Q. q. versicolor, Purple Grackle Q. q. stonei, Florida Grackle Q. q. quiscula (photo Peter Capainolo).

img-z4-3_95.jpg

Figure 4.

Dorsal view of parental and hybrid forms of Common Grackle. Breeding males left to right: Bronzed Grackle Q. q. versicolor, Purple Grackle Q. q. stonei and hybrid ‘Ridgway's Grackle’ (photo Peter Capainolo).

img-z4-8_95.jpg

METHODS

Species occurrence data were obtained from eBird ( www.ebird.org; Figure 2). Only breeding records between April and July of 2000–2019 were included (n > 4 million). We considered sampling bias and spatial autocorrelation (Brown 2014) for occurrence records and filtered all records by eye for particularly unusual, unlikely or spurious sightings. These types of artefacts were removed from the dataset. Occurrence records were spatially filtered within 25 km distances to remove duplicates. In total, 9804 occurrence records were obtained for ecological niche modelling after filtering. Bioclimatic data from WorldClim (Hijmans et al. 2005,  www.worldclim.org) were obtained for the Present and LGM (approximately 22,000 years before present) for three global climate models (CCSM4, MIROC-ESM and MPI-ESM-P) at a spatial resolution of 2.5 arc-minutes. Bioclimatic data included 19 bioclimatic variables derived from monthly temperature and precipitation values. Since Common Grackles are widespread and migratory in North America, all these variables were masked to include only –170° to 13°W and –50° to 84°N. The following analyses were conducted for ecological niche modelling: (1) we checked the correlation among the variables and made two different climatic data sets based on different correlation coefficients (0.8 and 0.9) among bioclimatic variables, (2) applying a 200-km buffer zone, we described the M-area based on breeding dispersal distance of Common Grackles, (3) we used the kuenm package (Cobos et al. 2019) in R v. 3.5.0 (R Core Team 2018) with the maximum entropy machine learning algorithm in MaxEnt v. 3.4.0 (Phillips et al. 2006, Elith et al. 2009) to model ecological niches of the Common Grackle for bioclimatic conditions of the two time frames.

We ran MaxEnt with different regularization multipliers (0.1, 0.2, 0.5, 1, 2, 5, 8, 10) and five different feature types, linear (L), quadratic (Q), product (P), threshold (T) and hinge (H), with 29 combinations of these feature types for model calibration, and produced different candidate models for each regularization multipliers and feature type combinations. Using the R package ‘kuenm’, we evaluated all possible candidate models and selected the best one using the Akaike Information Criterion corrected for small sample sizes (AICc; Hurvich & Tsai 1989), performed significance tests using partial ROC (Peterson et al. 2008), and evaluated performance using a 5% training presence threshold to evaluate omission (Peterson et al. 2011) for two different climatic data sets. We chose the best calibration based on these three different statistics (AICc, ROC and omission rate) and ran MaxEnt to produce the final models with ten replicates and bootstrap run type. Model outputs were converted to binary predictions using 10% training presence threshold (Perktaş et al. 2017) and we visualised the models in ArcGIS v. 10.2.2.

RESULTS

A total of 464 candidate models, with parameters reflecting all combinations of 8 regularization multiplier settings, 29 feature class combinations and 2 distinct sets of environmental variables, were evaluated. Results showed that the best performing model (among 180 statistically important models) was using a linear feature type with 0.1 regularization multiplier based on statistical significance (Partial ROC), omission rates (OR) and the AICc. The average training AUC for the replicate runs was 0.638 and the standard deviation was 0.001. Since AUC was larger than 0.6, model predictions were better than random predictions, that is, the model was significant for distributional predictions for the Common Grackle. In addition, the small SDs for the mean AUCs suggested that the model performance was robust to variation in the selection of the occurrence records for training. The final models showed that BIO1 (Annual Mean Temperature) is the most important variable for ecological niche modelling predictions for the Common Grackle as follows: BIO1 (Annual Mean Temperature) 74.4%, BIO2 (Mean Diurnal Range) 8.6%, BIO4 (Temperature Seasonality) 7.4%, BIO12 (Annual Precipitation) 4.4%, BIO8 (Mean Temperature of Wettest Quarter) 3.2% and BIO15 (Precipitation Seasonality) 2.1%.

Under the LGM bioclimatic conditions, areas of relatively high suitability were predicted across southern North America (including the Florida peninsula). Three predictions under three Global Climate Models (GCM) simulations were largely similar in this respect and showed substantial contraction (Figure 5). Under present bioclimatic conditions, areas of relatively high suitability were predicted across most of the known distribution of the Common Grackle. However, the model overpredicted the patchy distributions in both northwest and southwest parts of North America (Figure 6). This is most likely to be an effect of recent climate change. The distribution area of Common Grackles during the LGM accounted for about 22% of its present distribution, meaning an expansion of its distribution area by more than 300% after the LGM.

Figure 5.

Ecological niche modelling of the Common Grackle during the late Quaternary. The boxplot shows mean AUC value and its standard deviation.

img-z6-3_95.jpg

DISCUSSION

This study is an example of ecological niche modelling to test the glacial refugia hypothesis (see Brito 2005, Perktaş et al. 2011, Ülker et al. 2018, Barrowclough 2019) in a widespread, common bird species. There is clear evidence of a large refugium (small patchy areas to the west may be due to artefacts in the analysis) located in the southern part of the North American continent. Our results suggest that the Common Grackle responded to climate change through late Quaternary glacial-interglacial cycles. This pattern has also been found for other temperate bird species in North America (Avise & Zink 1988, Ball et al. 1988, Zink 1991, Zink 1996, Zink et al. 2002, 2008, Pulgarín-R & Burg 2012, Williford et al. 2014, 2016, Barrowclough et al. 2019).

Our ecological niche modelling prediction for the present distribution of the Common Grackle was largely concordant with its known distribution. This is an important assumption for the confidence of ecological niche modelling results (Nogués-Bravo 2009). It demonstrates the species-climate equilibrium of the ecological niche of the Common Grackle based on bioclimatic data. Therefore, it is plausible to say that the Common Grackle-climate equilibrium is valid.

A noteworthy part of this study is that we found one large contiguous refugium for this species, rather than separated refugia during the LGM. Separated refugia have been a common biogeographic pattern for widespread North American migratory birds such as the Swainson's Thrush Catharus ustulatus, Chipping Sparrow Spizella passerina and Yellow-throated Warbler Setophaga dominica (Ruegg et al. 2006, Mila et al. 2006, McKay 2009). These species appear to have survived through the Quaternary glaciations in eastern and western refugia (Colbeck et al. 2008, see also Zink 1996).

Figure 6.

Range shift of Common Grackle from the LGM to the Present. The projections show 10 percentile training presence logistic threshold results. Predicted species range is in green.

img-z7-3_95.jpg

However, Common Grackles have substantial amounts of morphological variation within the species, particularly in colours of the head, back and breast. This suggests that morphological diversification within the Common Grackle occurred within a short time period following a fast expansion event after the LGM. This is because the rate of morphological differentiation exceeds the rate of change of neutral genetic loci (Zink 1991, Zink & Dittmann 1993). This happens quickly if the species experiences recent and rapid demographic expansion in its distribution range (see Perktaş & Elverici 2019). This situation seems likely for the Common Grackle because our preliminary mitochondrial DNA analysis (Capainolo & Perktaş unpubl. data) shows that genetic diversity is relatively high in populations located in Florida and lower in northern regions. Zink et al. (1991) also indicated recent demographic expansion for the Common Grackle based on mitochondrial DNA data and restriction fragment analysis. Thus, it is plausible that mitochondrial phylogeography, in terms of demographic history of this taxon, matches the ecological niche modelling results in this study, but this remains to be tested with samples from additional locations and more DNA markers for the Common Grackle in the future.

A combination of several bioclimatic variables was important in the ecological niche modelling for the species, but one of them, annual mean temperature, was the most important. The model predictions were tested based on four different statistics (i.e. omission rate, AICc, AUC and partial ROC), and predictions were better than random. Therefore, we suggest that migratory behaviour in this temperature sensitive species evolved after its last expansion event, that is, after its demographic expansion following the LGM (see Zink 2011). A similar pattern is seen in the Chipping Sparrow. Mila et al. (2006) suggested that migratory behaviour in this species evolved from a sedentary ancestor located in the southern part of its distribution range. Although this suggestion was criticized by Zink (2011), we found a similar pattern for Common Grackle. Our results indicate that an ancestral form from the resident range of the Common Grackle colonized its present distribution range.

Morphological variation within the Common Grackle also supports this suggestion, because body size variation in this species shows clinal variation, which is a sign of natural selection and adaptation after the LGM (Huntington 1952, Rand 1961, Ashton 2002). In addition, different colour morphs usually indicate different subspecies within the species. The boundaries of these subspecies look arbitrary in terms of patterns of morphological differences and genetics; only the nominate form, Q. q. qusicula, looks valid as a subspecies due to its size, distribution and resident behaviour in southern regions of North America (Bent 1958, Jaramillo & Burke 1999). This evidence, together with low mtDNA variation in the north and high variation in the south (Capainolo & Perktaş unpubl. data), supports our preliminary hypothesis, that the Common Grackle extended its range from a southern sedentary ancestor into northern regions that at present precipitate migratory behaviour due to cold winters. Therefore, Common Grackles had shallow mtDNA diversification with large areas of genetically homogeneous populations (see Zink et al. 1991, Capainolo & Perktaş unpubl. data), showed rapid range expansion from a single big glacial refugium and follow a simplified example of a refugia (‘R') type species (Recuero & Garcia-Paris 2011).

In this study, we focused on late Quaternary range dynamics of the Common Grackle, and our work suggests that past climate change initiated a rapid northward expansion of the ancestral form. This work leads to the predictions that populations of Common Grackle are expected to show (1) low genetic variability, such as minimal levels of mtDNA divergence and (2) signs of a recent demographic expansion and rapid morphological diversification, particularly after the LGM. The Common Grackle, largely ignored as a species of interest regarding North American biogeography but representative of a widespread and ecologically important taxon, is certainly worth further investigation.

ACKNOWLEDGEMENTS

We are thankful to the collections staff in the Department of Ornithology at the American Museum of Natural History in New York for allowing us access to the study skins depicted in the plates and to the editors of Ardea and two anonymous reviewers whose comments and suggestions greatly improved the manuscript. Data are available on request from the corresponding author.

REFERENCES

1.

Ashton K.G. 2002. Patterns of within-species body size variation of birds: Strong evidence for Bergmann's rule. Global Ecol. Biogeogr. 11: 505–523. Google Scholar

2.

Avise J.C. & Zink R.M. 1988. Molecular genetic divergence between avian sibling species: King and Clapper Rails, Long-billed and Short-billed Dowitchers, Boat-tailed and Great-tailed Grackles and Tufted and Black-crested Titmice. Auk 105: 516–528. Google Scholar

3.

Baicich P.J. & Harrison J.O. 1997. Nests, eggs and nestlings of North American birds (2nd ed.). Princeton University Press, Princeton, N.J. Google Scholar

4.

Ball R.M., Freeman S., James F.C., Bermingham E. & Avise J.C. 1988. Phylogeographic population structure of Red-winged Blackbird assessed by mitochondrial DNA. Proc. Natl. Acad. Sci. USA 85: 1558–1562. Google Scholar

5.

Barrowclough G.F., Groth J.G., Odom K.J. & Lai J.E. 2011. Phylogeography of the Barred Owl (Strix varia): species limits, multiple refugia, and range expansion. Auk 28: 696–706. Google Scholar

6.

Barrowclough G.F., Groth J.G., Bramlett E.K., Lai J.E. & Mauck W.M. 2018. Phylogeography and geographic variation in the Red-bellied Woodpecker (Melanerpes carolinus): Characterization of mtDNA and plumage hybrid zones. Wilson J. Ornithol. 130: 671–683. Google Scholar

7.

Barrowclough G.F., Groth J.G., Mauck W.M. & Blair M.E. 2019. Phylogeography and species limits in the Red-shouldered hawk (Buteo lineatus): Characterization of the Northern Florida Suture Zone in birds. Ecol. Evol. 9: 6245–6258. Google Scholar

8.

Bent A.C. 1958. Life histories of North American blackbirds, orioles, tanagers, and allies. Bull. United States Natl. Museum, pp. 374–420. Google Scholar

9.

Bennett K.D. & Provan J. 2008. What do we mean by ‘refugia'? Q. Sci. Rev. 27: 2449–2455. Google Scholar

10.

BirdLife International. 2018. Quiscalus quiscula. The IUCN Red List of threatened species 2018.  www.iucnredlist.org/species/22724320/131484290  Google Scholar

11.

Brito P. 2005. The influence of Pleistocene glacial refugia on Tawny Owl genetic diversity and phylogeography in western Europe. Mol. Ecol. 14: 3077–3094. Google Scholar

12.

Brown J.L. 2014. SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. Methods Ecol. Evol. 5: 694–700. Google Scholar

13.

Buehler D.M., Baker A.J. & Piersma T. 2006. Reconstructing palaeoflyways of the late Pleistocene and early Holocene Red Knot Calidris canutus. Ardea 94: 485–498. Google Scholar

14.

Chapman F.M. 1924. Criteria for the determination of subspecies in systematic ornithology. Auk 41: 17–29. Google Scholar

15.

Chapman F.M. 1935. Quiscalus quiscula in Louisiana. Auk 52: 418–420. Google Scholar

16.

Cobos M.E., Peterson A.T., Barve N. & Osorio-Olvera L. 2019. kuenm: An R package for detailed development of ecological niche models using Maxent. PeerJ 7: e6281. Google Scholar

17.

Colbeck G.J., Gibbs H.L., Marra P.P., Hobson K. & Webster M.S. 2008. Phylogeography of a widespread North American migratory songbird (Setophaga ruticilla). J. Hered. 99: 453–463. Google Scholar

18.

Coues E. 1894. Key to North American birds. Estes and Lauriat, Boston, Mass. Google Scholar

19.

Dickinson E.C. & Christidis L. 2014. The Howard and Moore complete checklist of the birds of the world, 4th ed., Vol. 2: passerines. Aves Press, Eastbourne, UK. Google Scholar

20.

Elith J. & Leathwick J. 2009. Species distribution models: Ecological explanation and prediction across space and time. Ann. Rev. Ecol. Evol. S. 40: 677–697. Google Scholar

21.

Hewitt G.M. 1996. Some genetic consequences of ice ages, and their role in divergence and speciation. Biol. J. Linn. Soc. 58: 247–276. Google Scholar

22.

Hewitt G.M. 1999. Post-glacial re-colonization of European biota. Biol. J. Linn. Soc. 68: 87–112. Google Scholar

23.

Hijmans R.J., Cameron S.E., Parra J.L., Jones P.G. & Jarvis A. 2005. Very high-resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25: 1965–1978. Google Scholar

24.

Huntington C.E. 1952. Hybridization in the Purple Grackle, Quiscalus quiscula. Syst. Zool. 1: 149–170. Google Scholar

25.

Hurvich C.M. & Tsai C.L. 1989. Regression and time series model selection in small samples. Biometrika 76: 297–307. Google Scholar

26.

Jaramillo A. & Burke P. 1999. New World blackbirds, the icterids. Princeton University Press, Princeton, NJ. Google Scholar

27.

Klicka J., Spellman G.M., Winker K., Chua V. & Smith B.T. 2011. A phylogeographic and population genetic analysis of a widespread, sedentary North American bird: the Hairy Woodpecker (Picoides villosus). Auk 128: 346–362. Google Scholar

28.

Lanyon S.M. & Omland K.E. 1999. A molecular phylogeny of the blackbirds (Icteridae): five lineages revealed by cytochrome-b sequence data. Auk 116: 629–639. Google Scholar

29.

Lira-Noriega A. & Manthey J.D. 2013. Relationship of genetic diversity and niche centrality: a survey and analysis. Evolution 68: 1082–1093. Google Scholar

30.

McKay B.D. 2009. Evolutionary history suggests rapid differentiation in the Yellow-throated Warbler Dendroica dominica. J. Avian Biol. 40: 181–190. Google Scholar

31.

Mengel R.M. 1964. The probable history of species formation in some northern wood warblers (Parulidae). Living Bird 3: 9–43. Google Scholar

32.

Milá B., Smith T.B. & Wayne R.K. 2006. Postglacial population expansion drives the evolution of long-distance migration in a songbird. Evolution 60: 2403– 2409. Google Scholar

33.

Nogués-Bravo D. 2009. Predicting the past distribution of species climatic niches. Global Ecol. Biogeogr. 18: 521–531. Google Scholar

34.

Peer B.D. & Bollinger E.K. 1997. Common Grackle (Quiscalus quiscula), version 2.0. In: Poole A.F. & Gill F.B. (eds) The birds of North America. Cornell Lab of Ornithology, Ithaca, NY, USA. doi.org/10.2173/bna.271 Google Scholar

35.

Perktaş U., Barrowclough G.F. & Groth J.G. 2011. Phylogeography and species limits in the green woodpecker complex (Aves: Picidae): multiple Pleistocene refugia and range expansion across Europe and the Near East. Biol. J. Linn. Soc. 104: 710–723. Google Scholar

36.

Perktaş U., Peterson A.T. & Dyer D. 2017. Integrating morphology, phylogeography and ecological niche modelling to understand population differentiation in North African Common Chaffinches. J. Ornithol. 158: 1–13. Google Scholar

37.

Perktaş U. & Elverici C. 2019. Climate-driven range shifts of the Sharp-Tailed Grouse (Tympanuchus phasianellus). Acta Ornithol. 54: 213–222. Google Scholar

38.

Peterson A.T., Papeş M. & Soberón J. 2011. Rethinking receiver operating characteristic analysis applications in ecological niche modelling. Ecol. Model. 213: 63–72. Google Scholar

39.

Peterson A.T., Soberón J., Pearson R., Anderson R.P., Martínez-Meyer E., Nakamura M. & Araújo M.B. 2011. Ecological niches and geographic distributions. Princeton University Press, Princeton, NJ. Google Scholar

40.

Peterson R.T. 1980. A field guide to the birds east of the Rockies. Houghton Mifflin. Boston, Massachusetts. Google Scholar

41.

Phillips S.J., Anderson R.P. & Schapire R.E. 2006. Maximum entropy modelling of species geographic distributions. Ecol. Model. 190: 231–259. Google Scholar

42.

Powell A.F.L.A., Barker F.K. & Lanyon S.M. 2008. A complete species level phylogeny of the grackles (Quiscalus spp.), including the extinct slender-billed grackle, inferred from mitochondrial DNA. Condor 110: 718–728. Google Scholar

43.

Pulgarín-R P.C. & Burg T.M. 2012. Genetic signals of demographic expansion in Downy Woodpecker (Picoides pubescens) after the last North American glacial maximum. PLoS One 7: e40412. Google Scholar

44.

Questiau S., Gielly L., Clouet M. & Taberlet P. 1999. Phylogeographical evidence of geneflow among Common Crossbill (Loxia curvirostra, Aves, Fringillidae) populations at the continental level. Heredity 83: 196–205. Google Scholar

45.

R Core Team 2018. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Google Scholar

46.

Rand A.L. 1948. Glaciation, an isolating factor in speciation. Evolution 2: 314–321. Google Scholar

47.

Rand A.L. 1961. Some size gradients in North American birds. Wilson Bull. 73: 46–56. Google Scholar

48.

Recuero E. & Garcia-Paris M. 2011. Evolutionary history of Lissotriton helveticus: multi-locus assessment of ancestral vs. recent colonization of the Iberian Peninsula. Mol. Phylogenet. Evol. 60: 170–182. Google Scholar

49.

Remsen Jr. J.V., Powell A.F.L.A., Schodde R., Barker F.K. & Lanyon S.M. 2016. A revised classification of the Icteridae (Aves) based on DNA sequence data. Zootaxa 4093: 285–292. Google Scholar

50.

Ruegg K.C., Hijmans R.J. & Moritz C. 2006. Climate change and the origin of migratory pathways in the Swainson's Thrush Catharus ustulatus. J. Biogeogr. 33: 1172–1182. Google Scholar

51.

Schmitt T. & Varga Z. 2012. Extra-Mediterranean refugia: the rule and not the exception? Front. Zool. 9: 22. Google Scholar

52.

Starzomski B. 2015. Common Grackle. In: Davidson P.J.A., Cannings R.J., Couturier A.R., Lepage D. & Di Corrado C.M. (eds) The atlas of the breeding birds of British Columbia, 2008–2012. Bird Studies Canada, Delta, B.C., Canada. Google Scholar

53.

Stewart J.R., Lister A.M., Barnes I. & Dalen L. 2010. Refugia revisited: individualistic responses of species in space and time. Proc. R. Soc. B 277: 661–671. Google Scholar

54.

Toon A., Hughes J., Baker A. & Mather P. 2003. Discordance between morphology and genetic structure among three plumage forms of the Australian Magpie. Emu 103: 337–343. Google Scholar

55.

Ülker E.D., Tavşanoğlu Ç. & Perktaş U. 2018. Ecological niche modelling of Pedunculate Oak (Quercus robur) supports the ‘expansion–contraction’ model of Pleistocene biogeography. Biol. J. Linn. Soc. 123: 338–347. Google Scholar

56.

Wauchope H.S., Shaw J.D., Varpe Ø., Lappo E.G., Boertmann D., Lanctot R.B. & Fuller R.A. 2017. Rapid climate-driven loss of breeding habitat for Arctic migratory birds. Global Change Biol. 23: 1085–1094. Google Scholar

57.

Wenink P.W., Baker A.J., Rösner H.U. & Tilanus M.G.L. 1996. Global mitochondrial DNA phylogeography of holarctic breeding Dunlins (Calidris alpina). Evolution 50: 318–330. Google Scholar

58.

Williford D., DeYoung R.W., Honeycutt R.L., Brennan L.A. & Hernández F. 2014. Phylogeography of the Scaled Quail in the American Southwest. West. N. Am. Naturalist 74:18–32. Google Scholar

59.

Zink R.M., Rootes W.L. & Dittmann D.L. 1991. Mitochondrial DNA variation, population structure, and evolution of the Common Grackle (Quiscalus quiscula). Condor 93: 318–329. Google Scholar

60.

Zink R.M. 1991. The geography of Mitochondrial DNA variation in two sympatric sparrows. Evolution 45: 329–339. Google Scholar

61.

Zink R.M. 1996. Comparative phylogeography in North American Birds. Evolution 50: 308–317. Google Scholar

62.

Zink R.M. & Dittmann D.L. 1993. Gene flow, refugia, and evolution of geographic variation in the Song Sparrow (Melospiza melodia). Evolution 47: 717–729. Google Scholar

63.

Zink R.M., Pavlova A., Drovetski S. & Rohwer S. 2008. Mitochondrial phylogeographies of five widespread Eurasian bird species. J. Ornithol. 149: 399–413. Google Scholar

64.

Zink R.M., Rohwer S., Drovetski S., Blackwell-Rago R.C. & Farrell S.L. 2002. Holarctic phylogeography and species limits of Three-toed Woodpeckers. Condor 104: 167–170. Google Scholar

65.

Zink R.M. 2011. The evolution of avian migration. Biol. J. Linn. Soc. 104: 237– 250. Google Scholar

Appendices

SAMENVATTING

De areaalgrenzen van vogels veranderen geregeld in de loop van de tijd, onder andere onder invloed van klimaatverandering. In dit onderzoek wordt geprobeerd de rol van klimaatverandering in de verspreidingsgeschiedenis van de Glanstroepiaal Quiscalus quiscula, een algemene soort uit de familie van de Noord-Amerikaanse Icteridae, te achterhalen. Veel Noord-Amerikaanse vogelsoorten hebben zich op de piek van de laatste IJstijd (zo'n 22.000 jaar geleden) tot twee of drie zuidelijke gebieden (refugia) teruggetrokken. Op grond van ongepubliceerd genetisch onderzoek is het waarschijnlijk dat de Glanstroepiaal destijds maar één refugium heeft gehad en zich daarna over een groot deel van Noord-Amerika heeft verspreid (waarbij de noordelijke populaties zich tot trekvogel hebben ontwikkeld). Met behulp van ‘ecological niche modelling’ is op basis van drie klimaatmodellen en uitgaande van de huidige situatie de verspreiding tot aan de piek van de laatste IJstijd gereconstrueerd. Uit het onderzoek blijkt dat dat de soort zich in het verleden inderdaad heeft teruggetrokken tot één groot doorlopend gebied in het zuiden van Noord-Amerika en dat zij zich daarna over een groot deel van het midden en oosten van het continent heeft verspreid. De jaarlijkse gemiddelde temperatuur bleek de belangrijkste variabele in de modelberekeningen. Deze variabele verklaarde 74% van de variatie in het model. Na de piek van de laatste IJstijd heeft de Glanstroepiaal, parallel aan de opwarming van de aarde, zijn verspreidingsgebied met waarschijnlijk meer dan 300% kunnen uitbreiden.

Peter Capainolo, Utku Perktaş, and Mark D.E. Fellowes "Late Quaternary Range Dynamics in the Common Grackle Quiscalus quiscula," Ardea 108(1), 95-104, (1 July 2020). https://doi.org/10.5253/arde.v108i1.a8
Received: 29 January 2020; Accepted: 13 April 2020; Published: 1 July 2020
KEYWORDS
climate change
Ecological Niche Modelling
historical biogeography
range shift
Back to Top