Processing math: 100%
Bozó László, Csörgő Tibor, Heim Wieland. 2018: Weather conditions affect spring and autumn migration of Siberian leaf warblers. Avian Research, 9(1): 33. DOI: 10.1186/s40657-018-0126-5
Citation: Bozó László, Csörgő Tibor, Heim Wieland. 2018: Weather conditions affect spring and autumn migration of Siberian leaf warblers. Avian Research, 9(1): 33. DOI: 10.1186/s40657-018-0126-5

Weather conditions affect spring and autumn migration of Siberian leaf warblers

More Information
  • Corresponding author:

    László Bozó, bozolaszlo91@gmail.com

  • Received Date: 07 Apr 2018
  • Accepted Date: 10 Oct 2018
  • Available Online: 24 Apr 2022
  • Publish Date: 16 Oct 2018
  • Background 

    Weather effects on bird migration are well-studied among Passerines moving from Europe to Africa or within the American flyway systems. However, little is known about the weather impact on songbirds migrating along the East Asian flyway. Our study aims to describe the effects of various weather elements on the migration of four species of leaf warblers by using bird ringing data from a stopover site in Far East Russia.

    Methods 

    We determined the migration periods for each species and included maximum temperature, precipitation, air pressure, wind speed and wind direction in general linearized mixed models to predict the number of migrating birds.

    Results 

    We found strong impacts of weather variables on the number of trapped warblers during spring and autumn migration. Preferred or avoided weather conditions were similar among the studied species. All species seem to migrate preferably during warm, calm days without precipitation. A positive effect of tail winds was only confirmed in autumn, but in spring, most birds were trapped during crosswinds (eastern or western winds).

    Conclusion 

    The studied species might exhibit a loop migration, leading to a more longitudinal (from east to west) migration pattern in our study area during spring. Relationships between weather variables and the number of migrating individuals were much stronger during autumn. We argue that birds during spring migration would continue migration under sub-optimal conditions, as a result of strong competition to arrive earliest on their breeding grounds.

  • The Three-Toed Woodpecker is circumpolal distributed across the Northern Hemisphere. This vast distribution area results in eight subspecies, which are currently divided into two separate species based on mitochondrial DNA: Picoides tridactylus in Eurasia and P. dorsalis in North America (Zink et al., 1995, 2002). The subspecies P. t. funebris (Fig. 1) is endemic to the Qinghai-Tibet plateau in China. No research is being ever conducted since its discovery in 1870 (Verreaux, 1870). Thus, P. t. funebris is a subspecies for which we are not aware of any reports on life history details including foraging behavior.

    Figure  1.  The Three-toed Woodpecker subspecies Picoides tridactylus funebris

    Foraging behavior in Three-toed Woodpeckers is strongly related to the availability of food which was shown to be the driving factor for selection of foraging sites (Hogstad, 1976, 1977, 1991; Pechacek, 2006). Bark beetles and wood boring beetle larvae that are both confined to the subsurface of dead and dying trees are reported to be the most important prey of Three-toed Woodpeckers (Pechacek and Kristin 2004). Morphological adaptations especially with regard to the shape of the chisel-like bill are the basic precondition to excavate these prey from foraging substrates.

    Measurements of 12 museum specimens of P. t. funebris (6 males and 6 females, Y.Z. Zhu unpublished data) suggested that the differences in bill length between the sexes are less developed than in P. t. alpinus (< 4% vs > 8%) (Pechacek, 2006). This may have resulted in evolution of more serious competition between males and females because bill length differences are related to the pronounced foraging niche partitioning. Niche partitioning helps to prevent conflicts in cases when both sexes are foraging close to each other and was well described in P. t. tridactylus (Hogstad, 1976, 1977, 1991) and P. t. alpinus (Pechacek, 2006).

    We therefore conducted field observations on P. t. funebris in Gansu Province, China to compare its foraging behavior with that of other subspecies we particularly aimed for 1) exploring foraging sites and foraging techniques, and 2) assessing the niche partitioning between the sexes.

    The study was conducted at the Kache Forest Farm, Zhuoni County, Gansu Province, China (34°10′7″–34°38′20″N, 103°12′49″–103°48′50″E), with altitude ranging from 2500 to 4500 m above sea level. The Kache Forest Farm is composed of coniferous forests that are dominated by spruces (Picea asperata, P. wilsonii) and firs (Abies fargesii, A. faxoniana). Two large-scale logging operations were conducted in the area between 1949 and 1998, and afforestation took place in recent years.

    A female P. t. funebris was caught in a mist net on 21 March 2007. It was banded and fitted with a 2 g radio transmitter (type BD 2G, Holohil, Canada). We followed the female by radio-tracking and collected foraging observation. The mated male individual was observed travelling together with the female frequently during the breeding season, and we therefore conducted observations on the foraging male as well.

    Following field protocols by Pechacek (2006), foraging data was recorded every 15 s during an observed foraging bout. We recorded foraging behavior and associated parameters of foraging substrates. Foraging bout was considered as effective only if the woodpecker was observed foraging on a tree for more than 45 s and we could therefore record observations more than three times. Collected data reflected behavior or substrate use as a percentage of each foraging bout (i.e. percentage of time spent by displaying a particular foraging behavior or using a particular foraging substrate). To ensure the independency of foraging bouts, the next foraging bout was recorded after minimally one hour (Swihart and Slade, 1985), or alternatively, if the woodpecker moved at least 100 m from the previous location (Pechacek, 2006).

    According to the sampling classification developed by Remsen and Robinson (1990) and Pechacek (2006), we distinguished nine types of behavior associated with foraging: pecking, peeling, sap-sucking, preening, territory defence, climbing, freezing, head swinging, and other. We summarized pecking, tapping and probing from the original classification (Remsen and Robinson, 1990; Pechacek, 2006) as pecking which represented foraging for prey hidden relatively deep in the foraging substrate. Scaling and gleaning from the original classification were summarized as peeling which represented foraging for prey available close to the substrate surface.

    Parameters of foraging substrates were categorized and measured according to Pechacek (2006). We considered parameters that included foraging zone (i.e. base of the trunk, trunk, branches), substrate thickness, foraging height (i.e. lower, central and middle third of the foraging tree) and condition of the foraging substrate (i.e. alive, dead with and without bark). The thickness of foraging substrate was assessed referring to the bird itself (about 5.5 cm width). Additionally, we randomly placed 100 plots of 10 m × 10 m throughout the foraging area (i.e. home-range) of the male and female to assess the amount of snags (i.e. standing dead trees) in the foraging territory.

    After recording a foraging bout, the nearest tree of random direction was selected as a reference. Tree species and diameter at breast height (DBH) were recorded for both foraging and reference tree, and then the feeding preference index (PI) was calculated to express the foraging preference, using the equation from Kells et al. (2001):

    PI=(Vk/Vt)/(Ak/At)

    where Vk is the number of foraging visits of kth site, Vt the total number of visits to all sites, Ak the total number of kth reference, and At the total number of all references.

    Analyses were conducted in SPSS 13.0. Wilcoxon Signed Ranks Test was used to test the difference between DBH of foraging and reference trees. Mann-Whitney U-Test was used to test for differences in foraging behavior between the sexes. Results were considered significant at p < 0.05. Standard deviations (SD) are given with means.

    We collected 117 observations on a foraging pair of P. t. funebris during the breeding season between April and August 2007. Of them, 89 accounted for the female and 28 for the male. Both partners were found foraging close to each other at 56 (47.8%) out of 117 occasions.

    The volume of snags in the foraging territory amounted 4.3 m3·ha–1 (6 and 2.1 m3·ha–1 for the male's and female's home ranges, respectively).

    P. t. funebris preferred live spruces and snags over other available sites (Table 1). Foraging trees had by 26% bigger DBH than the reference trees, whereas the mean DBH of the female's foraging trees was larger than that of reference trees (32.6 ± 8.8 vs 22.2 ± 9.2), and the DBH of the male's foraging trees was similar to the reference ones (33.1 ± 10.4 vs 30.2 ± 10.6) (Table 2). The main foraging technique of P. t. funebris was pecking (39.8 ± 27.0% of the foraging time) followed by the peeling (13.2 ± 15.0%).

    Table  1.  Preferences for foraging trees in a pair of P. t. funebris during the breeding season in Kache Forest Farm, Zhuoni County, Gansu Province, 2007. A reference tree was selected as the nearest tree of random direction to the foraging tree.
    Site Foraging tree (%) Reference tree (%) Preference index
    Fir 65.8 83.2 0.791
    Spruce 18.8 10.3 1.825
    Snag a 14.5 3.4 4.265
    Other 0.9 3.4 0.265
    Total 100 100
    n 117 117
    a Unidentified species.
     | Show Table
    DownLoad: CSV
    Table  2.  Diameter of foraging trees used by a pair of P. t. funebris during the breeding season in Kache Forest Farm, Zhuoni County, Gansu Province, 2007, including diameter of associated reference trees. A reference tree was selected as the nearest tree of random direction to the foraging tree.
    Foraging tree (cm) Reference tree (cm) Z a p a n
    Male 33.1 ± 10.4 30.2 ± 10.6 –0.1 0.996 28
    Female 32.6 ± 8.8 22.2 ± 9.2 –6.4 0.000 89
    Z b –0.2 –3.7
    p b 0.858 0.000
    Total 32.7 ± 9.2 24.1 ± 10.1 –5.8 0.000 117
    a Results derived from Wilcoxon Signed Ranks Test;
    b Results derived from Mann-Whitney U-Test.
     | Show Table
    DownLoad: CSV

    The mean DBH of the foraging trees showed no difference between male and female (p = 0.858). However, we observed the following differences between the sexes with regard to parameters of foraging substrates (Table 3): the female foraged more often in the upper third of a tree (p = 0.010), while the male was more frequently seen foraging in the lower third (p = 0.003). The thickness of the male foraging substrate was significantly larger than that of the female's (p = 0.013). The male foraged more often on the dead substrates covered with bark (p = 0.021). On the other hand, the female spent more time on living parts of trees (p = 0.017). Additionally, male used pecking more often than the female (p = 0.035; Table 4).

    Table  3.  Parameters of foraging sites used by a pair of P. t. funebris during the breeding season in Kache Forest Farm, Zhuoni County, Gansu Province, 2007. The numbers reflect substrate use as a percentage of foraging bouts, i.e. percentage of time spent using a particular substrate parameter (except of thickness which is expressed in cm).
    Male Female Z p All
    Foraging zone
    Base of the trunk 14.3 ± 35.6 3.8 ± 18.3 –1.5 0.141 6.3 ± 23.8
    Trunk 46.4 ± 50.8 37.4 ± 45.2 –0.96 0.926 39.6 ± 46.5
    Branches 39.2 ± 49.7 57.7 ± 46.3 –1.2 0.248 53.3 ± 47.6
    Foraging height
    Lower third 28.6 ± 46.0 5.8 ± 23.2 –3.1 0.003 11.3 ± 31.6
    Central third 33.8 ± 46.6 28.6 ± 44.4 –0.4 0.651 29.8 ± 44.8
    Upper third 33.7 ± 47.8 65.5 ± 47.0 –2.6 0.010 58.9 ± 48.5
    Condition
    Alive 15.1 ± 35.6 28.9 ± 42.3 –2.4 0.017 25.6 ± 41.1
    Dead with bark 78.9 ± 38.1 63.9 ± 41.2 –2.3 0.021 67.5 ± 40.9
    Dead without bark 5.9 ± 15.3 7.3 ± 16.5 –0.1 0.893 6.9 ± 16.2
    Total 100 100 100
    Mean thickness of foraging substrates (cm) 17.0 ± 11.6 11.0 ± 8.2 –2.4 0.013 12.6 ± 9.9
    n 28 89 117
     | Show Table
    DownLoad: CSV
    Table  4.  Foraging techniques and behavior associated with foraging observed in a pair of P. t. funebris during the breeding season in Kache Forest Farm, Zhuoni County, Gansu Province, 2007. The numbers reflect behavior as a percentage of foraging bouts, i.e. percentage of time spent using a particular foraging technique.
    Foraging behavior Male Female Z p All
    Pecking 46.2 ± 29.5 37.8 ± 26.0 –1.8 0.035 39.8 ± 27.0
    Peeling 13.0 ± 14.5 13.2 ± 15.3 –0.2 0.430 13.2 ± 15.0
    Sap-sucking 3.4 ± 18.0 4.3 ± 17.0 –0.6 0.474 4.1 ± 17.2
    Preening 6.1 ± 17.7 5.1 ± 16.5 –1.1 0.142 5.3 ± 16.8
    Territory defense 0.4 ± 1.9 1.1 ± 6.0 –0.4 0.370 0.9 ± 5.3
    Climbing 8.9 ± 13.3 9.7 ± 12.7 –0.3 0.374 9.5 ± 12.8
    Freezing 3.8 ± 10.8 9.5 ± 18.9 –0.8 0.208 8.1 ± 17.4
    Head swinging 7.5 ± 8.2 10.8 ± 11.9 –1.1 0.139 10.0 ± 11.2
    Other 10.5 ± 13.7 6.2 ± 6.7 –1.4 0.079 7.2 ± 9.0
    Total 100 100 100
    n 28 89 117
     | Show Table
    DownLoad: CSV

    P. t. funebris preferred foraging on live spruces and snags that were bigger than surrounding reference trees with an average DBH of 32.7 ± 9.2 cm. We found differences between the sexes with respect to foraging height, substrate thickness and condition of the substrate. The most frequent foraging technique was pecking (39.8% of foraging time) followed by the peeling (13.2%). The male pecked more often than the female, and the female preferred foraging on trees that were larger than those available in female's foraging territory. Although the fir was the dominant tree species in our study area by amounting for 83.2% of the randomly selected reference trees, P. t. funebris preferred spruces and snags which had higher population density of bark beetles than firs (Liu et al., 1994). The observed foraging on trees with relatively large DBH was likely also related to the more abundant beetle prey that typically occurs in large substrates (Hanula et al., 2000).

    We found that P. t. funebris extensively foraged on dead branches (53.3% of the foraging time), while P. t. alpinus rarely did so (13%, Pechacek, 2006). This may have been adaptation to the small amount of snags available in the foraging territory in our study area (4.3 m3·ha–1). In contrast, snag amount was much higher in habitats of P. t. alpinus in the European Alps (30 m3·ha–1 of combined volume of snags and downed logs, Konnert, 2000). Woodpeckers may have therefore compensated for the lack of snags to obtain prey on another form of dead wood, the dead branches. We noted that sap-sucking was observed more often in P. t. funebris than in P. t. alpinus (4.1% vs 1.2% of the foraging time) (Pechacek, 2006), suggesting that P. t. funebris was more dependent on the tree sap than the other subspecies.

    P. t. funebris showed pronounced vertical niche partitioning between the sexes. This was consistent with observations on Three-Toed Woodpeckers elsewhere (Hogstad 1977, 1991; Pechacek, 2006). We found distinct differences between the sexes with respect to use of three out of four investigated parameters of the foraging substrates. The male occupied for most of the foraging time the lower third of coniferous trees and thicker substrates, where beetle prey is typically more abundant than in the upper third and on branches (Chen et al., 1999; Liu et al., 2007). Excavation of prey from the substrates composed of large DBH and thick bark required more time investment by extensive pecking. This may have explained the higher proportion of the male's pecking behavior compared to female. Conversely, the female used more often dead substrates with bark already peeled off, and living substrates. These sites presumably contained less abundant food. We also found that the volume of snags was higher within the male's home range compared to that of the female (6 vs 2.1 m3·ha–1). Moreover, we detected the male driving away the female for five times, which accounted for 8.9% of all records when both partners were found travelling together. We therefore concluded that the male dominated over the female by occupying prey-richer resources also in P. t. funebris despite of less obvious competitive advantages as demonstrated by little differences in the bill length between the sexes in comparison with P. t. alpinus (Pechacek, 2006).

    We confirmed that P. t. funebris displayed foraging behavior and niche partitioning that showed similar patterns to those reported for other studied subspecies of the Three-toed Woodpecker. The observed niche partitioning, however, did not reflect well the expected strong competition for the best foraging sites based on less pronounced sexual dimorphism (here represented by bill length) in P. t. funebris.

  • Able KP. Fall migration in coastal Louisiana and the evolution of migration patterns in the Gulf region. Wilson Bull. 1972;84(3):231-42.
    Able KP. The role of weather variables and flight direction in determining the magnitude of nocturnal bird migration. Ecology. 1973;54:1031-41.
    Akesson S. Coastal migration and wind drift compensation in nocturnal passerine migrants. Ornis Scand. 1993;24:87-94.
    Alerstam T. Analysis and a theory of visible bird migration. Oikos. 1978;30(2):273-349.
    Alerstam T. Bird migration. Cambridge: University Press; 1990.
    Arizaga J, Belda EJ, Barba E. Effect of fuel load, date, rain and wind on departure decisions of a migratory passerine. J Ornithol. 2011;152:991-9.
    Baker K. Westward vagrancy of Siberian passerines in autumn 1975. Bird Study. 1977;24:233-42.
    Baker JK, Catley GP. Yellow-browed Warblers in Britain and Ireland, 1968-1985. Br Birds. 1987;80:93-109.
    Bates D, Maechler M, Bolker B, Walker S. lme4: linear mixed-effects models using Eigen and S4. R Package Version. 2014;1:1-23.
    Berthold P. Control of bird migration. London: Chapman & Hall; 1996.
    Bloch R, Bruderer B. The air speed of migrating birds and its relationship to the wind. Behav Ecol Sociobiol. 1982;11:19-24.
    Bowlin MS, Wikelski M. Pointed wings, low wingloading and calm air reduce migratory flight costs in songbirds. PLoS ONE. 2008;3:e2154.
    Bozó L, Heim W. Trapping and ringing Pale-legged Leaf Warbler Phylloscopus tenellipes, Muraviovka Park, Amur region, Far East Russia. BirdASIA. 2015;23:118-20.
    Bozó L, Heim W. Sex-specific migration of Phylloscopus warblers at a stopover site in Far Eastern Russia. Ring Migr. 2016;31:41-6.
    Bozó L, Heim W, Harnos A, Csörgő T. Can we explain vagrancy in Europe with the autumn migration phenology of Siberian warbler species in East Russia? Ornis Hung. 2016;24:150-71.
    Bozó L, Heim W, Csörgő T. Spring and autumn migration of Pallas's Leaf Warbler Phylloscopus proregulus at Far East Russia. BirdingASIA. 2017;28:67-70.
    Brazil M. Birds of East Asia. London: Christopher Helm; 2009.
    Bruderer B, Boldt A. Flight characteristics of birds: I. Radar measurements of speeds. Ibis. 2001;143:178-204.
    Bulte M, McLaren JD, Bairlein F, Bouten W, Schmaljohann H, Shamoun-Baranes J. Can wheatears weather the Atlantic? Modeling nonstop trans-Atlantic flights of a small migratory songbird. Auk. 2014;131:363-70.
    Cochran WW, Kjos CG. Wind drift and migration of thrushes: a telemetry study. Ill NHS Bull. 1985;33:297-330.
    Cochran WW, Wikeski M. Individual migratory tactics of New World Catharus thrushes: current knowledge and future tracking options from space. In: Greenberg R, Marra PP, editors. Birds of two worlds: the ecology and evolution of migratory birds. Baltimore: Johns Hopkins University Press; 2005. p. 274-89.
    Deppe JL, Ward MP, Bolus RT, Diehl RH, Celis-Murillo A, Zenzal TJ, Moore FR, Benson TJ, Smolinsky JA, Schofield LN, Enstrom DA. Fat, weather, and date affect migratory songbirds' departure decisions, routes, and time it takes to cross the Gulf of Mexico. Proc Natl Acad Sci. 2015;112:E6331-8.
    De Juana E. Where do Pallas's and Yellow-browed Warblers (Phylloscopus proregulus, Ph. inornatus) go after visiting Northwest Europe in autumn? An Iberian perspective. Ardeola. 2008;55:13-25.
    Elkins N. Weather and bird behaviour. Calton: Poyser; 1988.
    Emlen ST. Migration: orientation and navigation. In: Famer DS, King JR, Parkes KC, editors. Avian biology, vol. V. New York: Academic Press; 1975. p. 129-210.
    Erni B, Liechti F, Underhill LG, Bruderer B. Wind and rain govern the intensity of nocturnal bird migration in central Europe—a log-linear regression analysis. Ardea. 2002;90:155-66.
    Folvik A. Norwegian records of Yellow-browed Warbler Phylloscopus inornatus. Fauna Nor Ser C Cinclus. 1992;15:31-6.
    Gauthreaux SA Jr. The ecology and evolution of avian migration systems. In: Farner DS, King JR, editors. Avian biology, vol. VI. New York: Academic Press; 1982. p. 93.
    Gauthreaux SA Jr. The flight behaviour of migrating birds in changing wind fields: radar and visual analyses. Am Zool. 1991;31:187-204.
    Gill RE, Douglas DC, Handel CM, Tibbitts TL, Hufford G, Piersma T. Hemispheric-scale wind selection facilitates bar-tailed godwit circum-migration of the Pacific. Anim Behav. 2014;90:117-30.
    Gilroy JJ, Lees AC. Vagrancy theories: Are autumn vagrants really reverse migrants? Brit Birds. 2003;96:427-38.
    Gyurácz J, Károssy C, Csörgő T. The autumn migration of sedge warblers in relation to weather conditions. Weather. 1997;52:149-54.
    Gyurácz J, Horváth G, Csörgő T, Bank L, Palkó S. Influence of macrosynoptic weather situation on the autumn migration of birds in Hungary. Ring. 2003;25:17-36.
    Gyurácz J, Csörgő T. Sisegő füzike [Wood Warbler]. In: Csörgő T, Karcza Zs, Halmos G, Magyar G, Gyurácz J, Szép T, Bankovics A, Schmidt A, Schmidt E, editors. Magyar madárvonulási atlasz [Hungarian Bird Migration Atlas]. Budapest: Kossuth Kiadó; 2009. p. 519-20.
    Harrop AJA. Eastern promise: the arrival of far-eastern passerine vagrants in autumn. Brit Birds. 2007;100:105-11.
    Heim W, Smirenski SM, Siegmund A, Eidam F. Results of an autumnal bird ringing project at Muraviovka Park/Amur region in 2011. Avian Ecol Behav. 2012;21:27-40.
    Heim W, Pedersen L, Heim RJ, Thomas A, Smirenski SM, Tottrup A, Thorup K. Full annual cycle tracking of a small songbird, the Siberian Rubythroat Calliope calliope, along the East Asian flyway. J Ornithol. 2018a. .
    Heim W, Eccard JA, Bairlein F. Migration phenology determines niche use of East Asian buntings (Emberizidae) during stopover. Curr Zool. 2018b;1: 2. .
    Howey DH, Bell M. Pallas's Warbler and other migrants in Britain and Ireland in October 1982. Brit Birds. 1985;78:381-92.
    Jónás B, Harnos A, Csörgő T. Detection of Passerines' loop migration pattern using biometric data. Acta Zool Acad Sci Hung (in press).
    Jiguet F, Barbet-Massin M. Climate change and rates of vagrancy of Siberian species to Europe. Ibis. 2013;155:194-8.
    Kamp J, Oppel S, Ananin AA, Durnev YA, Gashev SN, Hölzel N, Mishchenko AL, Pessa J, Smirenski SM, Strelnikov EG, Timonen S, Wolanska K, Chan S. Global population collapse in a superabundant migratory bird and illegal trapping in China. Conserv Biol. 2015;29:1684-94.
    Kerlinger P, Moore FR. Atmospheric structure and avian migration. In: Current ornithology, Springer; 1989. p. 109-42.
    Krüger T, Dierschke J. The occurrence of Yellow-browed Warbler Phylloscopus inornatus in Germany. Vogelwelt. 2004;125:41-52.
    Lefcheck JS. piecewiseSEM: piecewise structural equation modelling in R for ecology, evolution, and systematics. Methods Ecol Evol. 2016;7:573-9.
    Liechti F. Birds: blowin' by the wind? J Ornithol. 2006;147:202-11.
    Miller RA, Onrubia A, Martín B, Kaltenecker GS, Carlisle JD, Bechard MJ, Ferrer M. Local and regional weather patterns influencing post-breeding migration counts of soaring birds at the Strait of Gibraltar, Spain. Ibis. 2016;158:106-15.
    Mokhov II, Semenov VA. Weather and climate anomalies in Russian regions related to global climate change. Russ Meteorol Hydrol. 2016;41:84-92.
    Newton I. The migration ecology of birds. New York: Academic press; 2008.
    Nilsson C, Klaassen RHG, Alerstam T. Differences in speed and duration of bird migration between spring and autumn. Am Nat. 2013;181:837-45.
    Oliver J. Encyclopedia of world climatology. New York: Springer; 2005.
    Pennycuick CJ, Battley PF. Burning the engine: a time-marching computation of fat and protein consumption in a 5420 km non-stop flight by great knots, Calidris tenuirostris. Oikos. 2003;103:323-32.
    Phillips J. Autumn vagrancy: "Reverse migration" and migratory orientation. Ring Migr. 2000;20:35-8.
    Pyle P, Nur N, Henderson RP, De Sante DF. The effects of weather and lunar cycle on nocturnal migration of landbirds at Southeast Farallon Island. California. Condor. 1993;95(2):343-61.
    R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Version 3.4.2. 2017.
    Rabøl J. Reversed migration as the cause of westward vagrancy by four Phylloscopus warblers. Brit Birds. 1969;62:89-92.
    Richardson W. Timing of bird migration in relation to weather: updated review. In: Bird migration. Berlin: Springer; 1990. p. 78-101.
    Sander MM, Eccard JA, Heim W. Flight range estimation of migrant Yellow-browed Warblers Phylloscopus inornatus on the East Asian Flyway. Bird Study. 2017;64:569-72.
    Schaub M, Liechti F, Jenni L. Departure of migrating European Robins, Erithacus rubecula, from a stopover site in relation to wind and rain. Anim Behav. 2004;67:229-37.
    Shamoun-Baranes J, van Gasteren H. Atmospheric conditions facilitate mass migration events across the North Sea. Anim Behav. 2011;81:691-704.
    Shamoun-Baranes J, Liechti F, Vansteelant WM. Atmospheric conditions create freeways, detours and tailbacks for migrating birds. J Comp Physiol. 2017;203:509-29.
    Svensson L. Identification guide to European passerines. Stockholm: Svensson; 1992.
    The IUCN Red List of Threatened Species. Version 2018-1. www.iucnredlist.org. Downloaded on 08 August 2018.
    Thorup K. Vagrancy of Yellow-browed Warbler Phylloscopus inornatus and Pallas's Warbler Ph. proregulus in north-west Europe: Misorientation on great circles? Ring Migr. 1998;19:7-12.
    Thorup K. Reverse migration as a cause of vagrancy: capsule reverse migration in autumn does not occur to the same degree in all species of migrants, but is related to migratory direction. Bird Study. 2004;51:228-38.
    Van Belle J, Shamoun-Baranes J, van Loon E, Bouten W. An operational model predicting autumn bird migration intensities for flight safety. J Appl Ecol. 2007;44:864-74.
    Weber TP, Hedenström A. Optimal stopover decisions under wind influence: the effects of correlated winds. J Theor Biol. 2000;205:95-104.
    Williams MD. Autumn bird migration at Beidaihe, 1986-1990. Beidaihe: Beidaihe International Birdwatching Society; 2000.
    Woodworth BK, Mitchell GW, Norris DR, Francis CM, Taylor PD. Patterns and correlates of songbird movements at an ecological barrier during autumn migration assessed using landscape- and regional-scale automated radiotelemetry. Ibis. 2015;157:326-39.
    World Weather Online. . Data download at 20 Dec 2017.
    Xu Y, Lin S, He J, Xin Y, Zhang L, Jiang H, Li Y. Tropical birds are declining in the Hainan Island of China. Biol Conserv. 2017;210:9-18.
  • Related Articles

Catalog

    Figures(2)  /  Tables(3)

    Article Metrics

    Article views (527) PDF downloads (8) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return