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1 December 2015 Relationship Between the North Atlantic Oscillation and Spring Migration Phenology of Broad-Winged Hawks (Buteo platypterus) At Hawk Mountain Sanctuary, 1998–2013
Han-Kyu Kim
Author Affiliations +
Abstract

Climatic factors influence migration behavior in both short- and long-distance migratory birds. The Broad-winged Hawk (Buteo platypterus) is a long-distance migrant that exhibits a regular calendar-like migration pattern, with some interannual variability during both the northbound and southbound migrations. We examined the relationship between the North Atlantic Oscillation (NAO) and the timing of spring migration in Broad-winged Hawks based on standardized migration count data collected at Hawk Mountain Sanctuary from 1998 to 2013. A strong negative correlation was found between a higher April NAO index and earlier passage dates for the first 50% (r  =  −0.723, P < 0.01) and 95% (r  =  −0.565, P  =  0.02) and mean passage date (r  =  −0.730, P < 0.01) of the hawks passing the watchsite. The April NAO values may serve as a useful indicator of the conditions encountered by Broad-winged Hawks during their northbound migration and our analyses suggest a possible climatic effect on their migration timing, as measured at the migration watchsites in the northeastern United States.

Long-term raptor-migration count data are a critical tool in the conservation and study of migratory raptors. For example, data collected at migration watchsites have been essential in understanding the effects of DDT on the survival and reproductive success of raptors (Carson et al. 1962, Bednarz et al. 1990, Bildstein 1998), the discovery of “migration short-stopping” (Duncan 1996, Viverette et al. 1996, Bildstein 1998), the monitoring of population trends (Farmer et al. 2007, 2008), and understanding the effects of weather on raptor migration (Allen et al. 1996, Shamoun-Baranes et al. 2006, Gordo 2007). The majority of research using count data has focused on outbound or autumn migration, when raptors tend to be more numerous and concentrated than during return or spring migration (Bildstein 2006). Spring migration data, however, are equally important, as they concern the arrival of species to their breeding grounds, and may be important in tracking population trends (Farmer and Smith 2010).

Hawk Mountain Sanctuary is a long-established raptor migration watchsite on the Kittatinny Ridge in eastern Pennsylvania, U.S.A. (Zalles and Bildstein 2000, Bildstein 2006). The most abundant migrant counted at the watchsite in both spring and autumn is the Broad-winged Hawk (Buteo platypterus). As long-distance, obligate-soaring migrants, Broad-winged Hawks travel annually between their breeding grounds in the eastern United States and southeastern Canada and their wintering grounds in central and northern South America in flocks of up to tens of thousands (Goodrich et al. 1996, Bildstein 1999). The birds demonstrate a highly consistent migration, to the point where the timing of peak autumn migration can be predicted within a few days every year. In spring, Broad-winged Hawks depart from their wintering grounds in March and pass through southern North America in early April, reaching peak numbers in central Mexico on ca. 11 April (Ruelas 2005, Bildstein 2006), and reaching mid-latitude migration watchsites in mid- to late April (Atkinson et al. 1996, Goodrich et al. 1996, Bildstein 1999).

In the last decade, the phenology of migratory birds in the Northern Hemisphere has shown significant changes (Møller et al. 2004, Gordo 2007, Rubolini et al. 2007). A pattern of advanced spring migration and arrival dates in the Northern Hemisphere in recent years has been demonstrated for both short- and long-distance migrants (Tryjanowski et al. 2002, Cotton 2003, Hüppop and Hüppop 2003, Both et al. 2004). The migration timing of many species, including the Broad-winged Hawk, may rely on endogenous rhythms or a photoperiodic cue, which is identified as the most important and reliable trigger for avian migration (Møller 1994, Gwinner 1996, Both and Visser 2001, Gordo 2007). As photoperiodic cues are less variable annually, departure timing triggered by these cues may be stable among years (Gwinner 1996, Shamoun-Baranes et al. 2006).

Weather has been shown to influence migration timing in many bird species (Francis and Cooke 1986, Forchhammer et al. 2002, Cotton 2003, Marra et al. 2005, Shamoun-Baranes et al. 2006, Miller-Rushing et al. 2008). Previous studies have demonstrated that large-scale weather patterns over a vast geographic area were correlated with an earlier arrival date of migratory birds, e.g., Eurasian Hobby (Falco subbuteo; Cotton 2003), Bank Swallow (Riparia riparia), Barn Swallow (Hirundo rustica), Common House-Martin (Delichon urbicum), and other passerines (see Cotton 2003 and Lehikoinen et al. 2004, for species examined). An advancing spring arrival date could result from either an earlier departure, or a faster rate of travel during migration.

One of the most commonly studied climatic factors influencing migration phenology of birds are synoptic weather indices such as the North Atlantic Oscillation (NAO; Ottersen et al. 2001, Stenseth et al. 2003, Gordo 2007, MacMynoski and Root 2007). The NAO index is a measure of the difference in sea-level pressure between the Arctic and mid-latitude Atlantic Ocean, which reflects large-scale weather patterns over bordering ecosystems (Stenseth et al. 2003). The winter NAO indices are often used when studying northbound bird migration, especially in western Europe (Forchhammer et al. 2002, Hüppop and Hüppop 2003, Tøttrup et al. 2010). In these studies, higher NAO indices in winter coincided with warmer springs and stronger westerly winds that facilitate favorable migration and breeding conditions for migrants.

Being one of the most important large-scale weather drivers that affects multiple weather phenomena (e.g., local air temperature, dominant wind direction, and precipitation) of the area, the positive NAO index also can be associated with warmer weather with more precipitation in the region, whereas the negative NAO index indicates the opposite effects (Stenseth et al. 2002). Synoptic weather pattern indices such as the NAO are often better predictors of ecological variance than single local weather variables (Stenseth et al. 2002, Stenseth and Mysterud 2005), especially in regard to continental or broad regional patterns. A long-distance migrant, such as the Broad-winged Hawk, cannot detect changes in weather patterns on their breeding grounds while on their nonbreeding range thousands of miles away, and therefore may be particularly reliant on endogenous, circannual cues such as photoperiod (Goodrich et al. 1996, Both and Visser 2001, Cotton 2003). However, many other long-distance migrant species have shown interannual variability in spring arrival timing (Cotton 2003 and Lehikoinen et al. 2004), which is also observed in Broad-winged Hawks at Hawk Mountain. Thus, we hypothesize the migration timing of Broad-winged Hawks may be affected by large-scale synoptic weather patterns.

Here, we analyze the timing and magnitude of Broad-winged Hawk spring migration at Hawk Mountain Sanctuary, Pennsylvania, in relation to variability in the spring NAO, to determine if synoptic weather patterns occurring during migration period represented by the NAO, affect the phenology of spring migration of Broad-winged Hawks as detected at a migration watchsite.

Methods

Study Site and Data Collection. 

We compiled Hawk Mountain migration counts, conducted from 1 April–15 May, from 1998 to 2013, a period encompassing the spring migration of Broad-winged Hawks at the latitude of Hawk Mountain Sanctuary (McCarty et al. 1999). Counts were conducted at the North Lookout (40°38.48′N, 75°59.48′W) at Hawk Mountain Sanctuary, Pennsylvania, from 0900–1500 H daily with at least two counters per day (Therrien et al. 2012). Counters tallied migrating raptors using both binoculars (7–10× power) and the unaided eye to scan for migrants. A 20–60× power telescope was used occasionally to identify distant raptors. Procedure remained consistent with the protocol detailed in Bednarz et al. (1990) and Bildstein and Zalles (1995).

We used the principal-component based NAO index from the same period of migration counts, which is a more optimal representation of the full NAO spatial pattern than station-based indices (Hurrell and Deser 2010, Hurrell and NCAR 2013). NAO data were obtained online from the Climate Analysis Section of the National Center for Atmospheric Research, Boulder, Colorado, U.S.A. (Hurrell and NCAR 2013). Monthly average NAO indices were used, corresponding to the two months during which the Broad-winged Hawks migrate north past Hawk Mountain (April and May), and the average NAO of wintering period (December–March), for comparison.

Statistical Analysis. 

We used four benchmark indices of migration phenology (Vähätalo et al. 2004, Tøttrup et al. 2008); the Julian date (the number of days counted from each year’s 1 January) of the first 5%, 50%, and 95% of the migrating hawks at Hawk Mountain, as well as the mean Julian date of passage of all migrant birds. The 5%, 50%, 95% dates indicate the date that 5%, 50% and 95% of the total birds observed during spring migration had passed, and mean passage dates are arithmetic means of passage dates for all individual birds in spring migration. In addition, the number of days between the first 5% of passage and 95% of passage represented the length of passage period. Pearson correlation analyses were performed among each of the migration magnitude (the number of birds per each migration season), phenology indices of the birds, the NAO Index data, and years, using SigmaPlot 12.0 (Systat Software, Inc., San Jose, California, U.S.A.). Results of the correlations are summarized in Table 1. P-values ≤0.05 were considered to be statistically significant.

Table 1. 

Results of correlation analyses among NAO indices, different passage dates, passage period, and migration magnitude.

i0892-1016-49-4-471-t01.tif

Results

Migration Magnitude and Timing. 

The magnitude of the migration of Broad-winged Hawks at Hawk Mountain varied annually from 1998 to 2013, but was not correlated with year (df  =  14, i0892-1016-49-4-471-e01.tif  =  364.0 birds, SD  =  118.6, r  =  −0.028, P  =  0.92; Table 1). There was no significant relationship between flight magnitude and passage period length (df  =  14, r  =  −0.297, P  =  0.26), nor between flight magnitude and mean passage date (df  =  14, r  =  0.414, P  =  0.11).

Mean passage dates remained stable across the study years (df  =  14, i0892-1016-49-4-471-e02.tif  =  111.9 Julian date, SD  =  2.1 d, r  =  0.0794, P  =  0.77), starting on 15 April (SD  =  3 d) and ending on 2 May (SD  =  5 d), with the mean and median (50%) dates of passage occurring on 23 April (SD  =  2 and SD  =  3 d; respectively). Overall, the lengths of the passage period (df  =  14, i0892-1016-49-4-471-e03.tif  =  17.5 d; SD  =  6.1 d, r  =  0.399, P  =  0.13), first 5% (df  =  14, i0892-1016-49-4-471-e04.tif  =  104.1 d, SD  =  3.1 d; r  =  −0.253, P  =  0.35), first 50% (df  =  14, i0892-1016-49-4-471-e05.tif  =  112.1 d, SD  =  3.0 d; r  =  0.137, P  =  0.61), and 95% of passage (df  =  14, i0892-1016-49-4-471-e06.tif  =  121.6 d, SD  =  4.7 d; r  =  0.353, P  =  0.18) did not show any significant trend in the study period (Table 1).

Effects of NAO. 

A higher average April NAO value coincided with earlier passage for the first 50% (df  =  14, r  =  −0.723, P < 0.01; Fig. 1b) and 95% (df  =  14, r  =  −0.565, P  =  0.02; Fig. 1c), but not with the first 5% of the passage period (df  =  14, r  =  −0.0624, P  =  0.818; Fig. 1a) nor the overall length of the passage period (df  =  14, r  =  −0.401, P  =  0.12; Table 1). Mean passage dates of the birds advanced with stronger April NAO indices as well (df  =  14, r  =  −0.730, P  =  0.001; Fig. 1d). The May NAO values did not show any significant relationships with migration phenology measures. The averages of the winter period NAO indices (December to March) also did not show any significant correlation to migration phenology (df  =  14 for all indices; 5%: r  =  0.256, P  =  0.338; 50%: r  =  0.308, P  =  0.245; 95%: r  =  −0.193, P  =  0.474; mean passage date: r  =  0.231, P  =  0.389; passage period: r  =  −0.278, P  =  0.296). The magnitude of migration was not associated with average winter (df  =  14, r  =  0.233, P  =  0.384) nor spring NAO values (df  =  14, April: r  =  −0.189, P  =  0.482; May: r  =  −0.003, P  =  0.991).

Figure 1. 

Relationships between April NAO indices and Julian dates of migration phenology of Broad-winged Hawks based on the first (A) 5%; (B) 50%; and (C) 95% of the passage; and (D) mean passage dates. Lines indicate statistically significant relationships.

i0892-1016-49-4-471-f01.tif

In year 2011, the April monthly NAO index was extremely high (+2.30), and the mean passage date (Julian Date  =  106) was the most advanced among all years. When we removed the data of 2011, the April NAO index was still correlated with the first 50% date (df  =  13, r  =  −0.564, P  =  0.028) and mean passage dates (df  =  14, r  =  −0.510, P  =  0.052). However, the correlation between NAO index and the first 95% dates (df  =  14, r  =  −0.409, P  =  0.130) was not statistically significant.

Discussion

The spring migration dates of the bulk of migrating Broad-winged Hawks at Hawk Mountain, Pennsylvania, correlated with the strength of the April NAO index, which supports the possible effect of NAO on phenology of these long-distance migrants at migration watchsites in eastern North America. Although the NAO fluctuated during study years (df  =  14 for all indices, April: r  =  0.227, P  =  0.398; May: r  =  −0.240, P  =  0.371; winter-average: r  =  −0.280, P  =  0.293) and there was substantial variation of Broad-winged Hawk migration magnitudes every year, shifts of NAO did not influence the number of Broad-winged Hawks each year. From this, we suggest that there was a minimal effect of biases related to detectability and availability of birds induced by NAO-related weather effects on migration during migration count surveys. Yet, the lack of correlation of the first 5% to April NAO in this study may be a result of the inherently greater variability in detection rates of early arriving birds at migration watchsites (Linden 2011). The 50% passage date and 95% date may be better indicators of migration timing for analyses than the first 5%, which is more likely to be affected by observer bias and outlier birds (Lehikoinen and Sparks 2010). We believe this is the case for our results, which showed a relationship of NAO only to the bulk of migrating individuals.

Weather on the departure grounds has been shown to determine departure dates in the fall migration of long-distance soaring migrants in Europe (Shamoun-Baranes et al. 2006). It is therefore unclear whether changes in migration phenology are attributable to a change in departure timing or a change in the rate of migration itself. For this reason, we looked at average winter NAO values, as compared with NAO values during migration. However, in this study we found no correlation between average winter NAO index and migration phenology of Broad-winged Hawks, which suggests that the earlier migration timing of Broad-winged Hawks in some years is unlikely to be due to changes in the departure timing from wintering grounds (Cotton 2003).

Positive NAO indices are known to be correlated with warmer climates in coastal regions of eastern North America and negative indices are related to the cooler weather (Stenseth et al. 2002, 2003). Assuming warmer conditions extend inland as well, the high April NAO indices may correlate with better en route migration conditions for North American soaring migrants in spring, such as the Broad-winged Hawk. The positive NAO may promote strengthened westerly winds over southeastern United States, extending farther north in years of higher NAO (Stenseth et al. 2002), and thus increased tailwind conditions may benefit Broad-winged Hawks that are migrating from central America to northeastern United States and Canada (Kemp et al. 2010, Lehikoinen and Sparks 2010).

Broad-winged Hawks may use different flight modes during their journey, depending on the meteorological and geographical conditions. Another soaring long-distant migrant species, the Golden Eagle (Aquila chrysaetos), has been shown to shift flight strategies from using thermal lift to orographic lift, in response to the availability of lift types that occur variably during the northbound migration in the eastern United States, possibly to reduce migration time (Duerr et al. 2012, Lanzone et al. 2012). If the NAO affects wind speed or direction, this could increase opportunities for orographic lift for northbound migrants. Further research is needed to investigate that possibility. Our analyses suggest that the weather that Broad-winged Hawks encounter during spring migration may have a greater effect on the spring passage dates at Hawk Mountain than does the weather on their wintering grounds. We suggest that higher NAO values in April are correlated with conditions that allow faster movements northward.

Broad-winged Hawks showed an earliest passage date in 2011, coincidental with a high April NAO index. Researchers reported that 2011 showed extreme weather events over all the United States, including especially frequent severe storms and warm temperatures (Coumou and Rahmstorf 2012). Because climate change may induce more frequent extreme weather (Meehl et al. 2000, Parmesan et al. 2000), events in 2011 highlight the importance of tracking effects of extreme large-scale climate shifts on bird migration phenology.

Further study is needed to determine if the frequency of advanced passage may be increasing for Broad-winged Hawks or other soaring raptors, and what the effects of climate change may be on advanced passage, breeding success, and the long-term conservation of these species. Research on fine-scale movements during migration to look at individual direct responses to weather conditions may reveal more insights into the migration ecology of these and other long-distance migrants in eastern North America. Although the underlying relationship between more direct climatic measures and the NAO in aiding the northbound bird migration warrants further investigation, this and other studies show it is a useful indicator of conditions long-distance migrants encounter during northbound passage (Liechti and Bruderer 1998).

Acknowledgments

We thank the Hawk Mountain counters who dedicated their time and energy in spring migration counts from 1998–2013 and also the staffs of NCAR who worked on pc-based NAO datasets. We are grateful to Hawk Mountain Sanctuary Association and the Hawk Mountain Acopian Center for Conservation Learning for providing the opportunity to conduct this study and the facilities for authors when writing. We appreciate the assistance and encouragement from staff members. This manuscript is Hawk Mountain Contribution #246.

Literature Cited

1.

P.E. Allen L.J. Goodrichand K.L. Bildstein 1996. Within and among-year effects of cold fronts on migrating raptors at Hawk Mountain, Pennsylvania, 1934–1991. Auk 113:329–338. Google Scholar

2.

E.C. Atkinson L.J. Goodrichand K.L. Bildstein 1996. Temporal field guide to autumn raptor migration at Hawk Mountain Sanctuary, Pennsylvania. Pennsylvania Birds 10:134–137. Google Scholar

3.

J.C. Bednarz D. Klem Jr L.J. Goodrichand S.E. Senner 1990. Migration counts of raptors at Hawk Mountain, Pennsylvania, as indicators of population trends, 1934–1986. Auk 107:96–109. Google Scholar

4.

K.L. Bildstein 1998. Long-term counts of migrating raptors: a role for volunteers in wildlife research. Journal of Wildlife Management 62:435–445. Google Scholar

5.

K.L. Bildstein 1999. Racing with the sun: the forced migration of Broad-winged Hawks. Pages 79–102 In K.P. Able [Ed.], Gathering of angels: migratory birds and their ecology. Cornell Univ. Press, Ithaca, NY U.S.A. Google Scholar

6.

K.L. Bildstein 2006. Migrating raptors of the world: their ecology and conservation. Cornell Univ. Press, Ithaca, NY U.S.A. Google Scholar

7.

K.L. Bildsteinand J.I. Zalles [Eds.]. 1995. Raptor migration watch-site manual. Hawk Mountain Sanctuary Association, Kempton, PA U.S.A. Google Scholar

8.

C. Both A.V. Artemyev B. Blaauw R.J. Cowie A.J. Dekhuijzen T. Eeva A. Enemar L. Gustafsson E.V. Ivankina A. Jarvinen N.B. Metcalfe N.E.I. Nyholm J. Potti P.A. Ravussin J.J. Sanz B. Silverin F.M. Slater L.V. Sokolov J. Torok W. Winkel J. Wright H. Zangand M.E. Visser 2004. Large-scale geographical variation confirms that climate change causes birds to lay earlier. Proceedings of the Royal Society of London 271:1657–1662. Google Scholar

9.

E. Bothand M.E. Visser 2001. Adjustment to climate change is constrained by arrival date in a long-distance migrant bird. Nature 411:296–298. Google Scholar

10.

R. Carson 1962. Silent spring. Houghton Mifflin, Boston, MA U.S.A. Google Scholar

11.

A.P. Cotton 2003. Avian migration phenology and global climate change. Proceedings of the National Academy of Sciences of the United States of America 100:12219–12222. Google Scholar

12.

D. Coumouand S. Rahmstorf 2012. A decade of weather extremes. Nature Climate Change 2:491–496. Google Scholar

13.

A.E. Duerr T.A. Miller M. Lanzone D. Brandes J. Cooper K. O'Malley C. Maisonneuve J. Tremblayand T. Katzner 2012. Testing an emerging paradigm in migration ecology shows surprising differences in efficiency between flight modes. PloS One. 7(4). e35548. Google Scholar

14.

C.D. Duncan 1996. Changes in the winter abundance of Sharp-shinned Hawks in New England. Journal of Field Ornithology 67:254–262. Google Scholar

15.

C.J. Farmer R.J. Bell B.R. Drolet L.J. Goodrich E. Greenstone D. Grove D.J.T. Hussell D. Mizrahi F.J. Nicolettiand J. Sodergren Trends in autumn counts of migratory raptors in northeastern North America, 1974–2004. Pages 179–216 In K.L. Bildstein J.P. Smith E.R. Inzunzaand R.R. Veit [Eds.], State of North America’s birds of prey. Nuttall Ornithological Club, Cambridge, MA, and American Ornithologists' Union, Washington, DC U.S.A. 2008. Google Scholar

16.

C.J. Farmer D.J.T. Husselland D. Mizrahi 2007. Detecting population trends in migratory birds. Auk 124:1047–1062. Google Scholar

17.

C.J. Farmerand J.P. Smith 2010. Seasonal differences in migration counts of raptors: utility of spring counts for population monitoring. Journal of Raptor Research 44:101–112. Google Scholar

18.

M.C. Forchhammer E. Postand N.C. Stenseth 2002. North Atlantic Oscillation timing of long- and short-distance migration. Journal of Animal Ecology 71:1002–1014. Google Scholar

19.

C.M. Francisand F. Cooke 1986. Differential timing of spring migration in Wood Warblers (Parulinae). Auk 103:548–556. Google Scholar

20.

L.J. Goodrich S.T. Crocolland S.E. Senner 1996. Broad-winged Hawk (Buteo platypterus). In A. Pooleand F. Gill [Eds.], The birds of North America, No. 218. The Academy of Natural Sciences, Philadelphia, PA and the American Ornithologists’ Union, Washington, DC U.S.A. Google Scholar

21.

O. Gordo 2007. Why are bird migration dates shifting? A review of weather and climate effects on avian migratory phenology. Climate Research. 35:37–58. Google Scholar

22.

E. Gwinner 1996. Circannual clocks in avian reproduction and migration. Ibis 138:47–63. Google Scholar

23.

O. Hüppopand K. Hüppop 2003. North Atlantic Oscillation and timing of spring migration in birds. Proceedings of the Royal Society of London 270:233–240. Google Scholar

24.

J.W. Hurrelland C. Deser 2010. North Atlantic climate variability: the role of the North Atlantic Oscillation. Journal of Marine Systems 79:231–244. Google Scholar

25.

J.W. Hurrell and The climate data guide: Hurrell North Atlantic Oscillation (NAO) index (PC-based).  http://climatedataguide.ucar.edu/guidance/hurrell-north-atlantic-oscillation-nao-index-pc-based (last accessed 26 June 2013). 2013. Google Scholar

26.

M.U. Kemp J. Shamoun-Baranes H. Van Gasteren W. Boutenand E.E. Van Loon 2010. Can wind help explain seasonal differences in avian migration speed? Journal of Avian Biology 41:672–677. Google Scholar

27.

M.J. Lanzone T.A. Miller P. Turk D. Brandes C. Halverson C. Maisonneuve J. Tremblay J. Cooper K. O'Malley R.P. Brooksand T. Katzner 2012. Flight responses by a migratory soaring raptor to changing meteorological conditions. Biology Letters 8:710–713. Google Scholar

28.

E. Lehikoinenand T.H. Sparks 2010. Changes in migration: effects of climate change on birds. Pages 89–112 In A.P. Møller W. Fiedlerand P. Berthold [Eds.], Effects of climate change on birds. Oxford Univ. Press, New York, NY U.S.A. Google Scholar

29.

E. Lehikoinen T.H. Sparksand M. Zalakevicius 2004. Arrival and departure dates. Advances in Ecological Research 35:1–35. Google Scholar

30.

F. Liechtiand B. Bruderer 1998. The relevance of wind for optimal migration theory. Journal of Biology 29:561–568. Google Scholar

31.

A. Linden 2011. Using first arrival dates to infer bird migration phenology. Boreal Environment Research 16:49–60. Google Scholar

32.

D.P. MacMynoskiand T.L. Root 2007. Climate and the complexity of migratory phenology: sexes, migratory distance, and arrival distributions. International Journal of Biometeorology 51:361–373. Google Scholar

33.

P.P. Marra C.M. Francis R.S. Mulvihilland F.R. Moore 2005. The influence of climate on the timing and rate of spring bird migration. Oecologia 142:307–315. Google Scholar

34.

K.M. McCarty M. Farhoud J. Ottinger L.J. Goodrichand K.L. Bildstein 1999. Spring migration at Hawk Mountain Sanctuary, 1969–1998. Pennsylvania Birds 13:11–15. Google Scholar

35.

G.A. Meehl F. Zwiers J. Evans T. Knutson L. Mearnsand P. Whetton 2000. Trends in extreme weather and climate events: issues related to modeling extremes in projections of future climate change. Bulletin of the American Meteorological Society 81:427–436. Google Scholar

36.

A.J. Miller-Rushing T.L. Lloyd-Evans R.B. Primackand P. Satzinger 2008. Bird migration times, climate change, and changing population sizes. Global Climate Change Biology 14:1959–1972. Google Scholar

37.

A.P. Møller 1994. Phenotype-dependent arrival time and its consequences in a migratory bird. Behavioral Ecology and Sociobiology 35:115–122. Google Scholar

38.

A.P. Møller W. Fiedlerand P. Berthold 2004. Advances in ecological research: birds and climate change. Elsevier Academic Press, Oxford, U.K. Google Scholar

39.

G. Ottersen B. Planque A. Belgrano E. Post P.C. Reidand N.C. Stenseth 2001. Ecological effects of the North Atlantic Oscillation. Oecologia 128:1–14. Google Scholar

40.

C. Parmesan T.L. Rootand M.R. Willig 2000. Impacts of extreme weather and climate on terrestrial biota. Bulletin of the American Meteorological Society 81:443–450. Google Scholar

41.

D. Rubolini A.P. Møller K. Rainioand E. Lehikoinen 2007. Intraspecific consistency and geographic variability in temporal trends of spring migration phenology among European bird species. Climate Research 35:135–146. Google Scholar

42.

E.I. Ruelas 2005. Raptor and wading bird migration in Veracruz, Mexico: spatial and temporal dynamics, flight performance, and monitoring applications. Ph.D. dissertation, Univ. Missouri-Columbia, Columbia, MO U.S.A. Google Scholar

43.

J. Shamoun-Baranes E. van Loon D. Alon P. Alpert Y. Yom-Tovand Y. Leshem 2006. Is there a connection between weather at departure sites, onset of migration and timing of soaring-bird autumn migration in Israel? Global Ecology and Biogeography 15:541–552. Google Scholar

44.

N.C. Stensethand A. Mysterud 2005. Weather packages: finding the right scale and composition of climate in ecology. Journal of Animal Ecology 74:1195–1198. Google Scholar

45.

N.C. Stenseth A. Mysterud G. Ottersen J.W. Hurrell K.S. Chanand M. Lima Ecological effects of climate fluctuations. Science 297((5585)) 2002. 1292–1296. Google Scholar

46.

N.C. Stenseth G. Ottersen J.W. Hurrell A. Mysterud M. Lima K.S. Chan N.G. Yoccozand B. Ådlandsvik 2003. Studying climate effects on ecology through the use of climate indices: the North Atlantic Oscillation, El Niño Southern Oscillation and beyond. Proceedings of the Royal Society of London 270:2087–2096. Google Scholar

47.

J-F. Therrien L.J. Goodrich D.R. Barberand K.L. Bildstein 2012. A long-term database on raptor migration at Hawk Mountain Sanctuary, northeastern United States. Ecology 93:1979. Google Scholar

48.

A.P. Tøttrup K. Rainio T. Coppack E. Lehikoinen C. Rahbekand K. Thorup 2010. Local temperature fine-tunes the timing of spring migration in birds. Integrative and Comparative Biology 50:293–304. Google Scholar

49.

A.P. Tøttrup K. Thorup K. Rainio R. Yosef E. Lehikoinenand C. Rahbek 2008. Avian migrants adjust migration in response to environmental conditions en route. Biology Letters 4:685–688. Google Scholar

50.

P. Tryjanowski S. Kuźniakand T.H. Sparks 2002. Earlier arrival of some farmland migrants in western Poland. Ibis 144:62–68. Google Scholar

51.

A.V. Vähätalo K. Rainio A. Lehikoinenand E. Lehikoinen 2004. Spring arrival of birds depends on the North Atlantic Oscillation. Journal of Avian Biology 35:210–216. Google Scholar

52.

C.B. Viverette S. Struve L.J. Goodrichand K.L. Bildstein 1996. Decreases in migrating Sharp-shinned Hawks (Accipiter striatus) at traditional watchsites in eastern North America. Auk 113:32–40. Google Scholar

53.

J.I. Zallesand K.L. Bildstein [Eds.]. 2000. Raptor watch: a global directory of raptor migration sites. BirdLife International, Cambridge, U.K. and Hawk Mountain Sanctuary, Kempton, PA U.S.A. Google Scholar
© 2015 The Raptor Research Foundation, Inc.
Han-Kyu Kim "Relationship Between the North Atlantic Oscillation and Spring Migration Phenology of Broad-Winged Hawks (Buteo platypterus) At Hawk Mountain Sanctuary, 1998–2013," Journal of Raptor Research 49(4), 471-478, (1 December 2015). https://doi.org/10.3356/rapt-49-04-471-478.1
Received: 15 June 2014; Accepted: 1 April 2015; Published: 1 December 2015
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