Iderbat Damba, Junjian Zhang, Kunpeng Yi, Huashan Dou, Nyambayar Batbayar, Tseveenmyadag Natsagdorj, Batmunkh Davaasuren, Lei Cao, Anthony David Fox. 2021: Seasonal and regional differences in migration patterns and conservation status of Swan Geese (Anser cygnoides) in the East Asian Flyway. Avian Research, 12(1): 73. DOI: 10.1186/s40657-021-00308-y
Citation: Iderbat Damba, Junjian Zhang, Kunpeng Yi, Huashan Dou, Nyambayar Batbayar, Tseveenmyadag Natsagdorj, Batmunkh Davaasuren, Lei Cao, Anthony David Fox. 2021: Seasonal and regional differences in migration patterns and conservation status of Swan Geese (Anser cygnoides) in the East Asian Flyway. Avian Research, 12(1): 73. DOI: 10.1186/s40657-021-00308-y

Seasonal and regional differences in migration patterns and conservation status of Swan Geese (Anser cygnoides) in the East Asian Flyway

Funds: 

the National Natural Science Foundation of China 31870369

China Biodiversity Observation Networks (Sino BON) 

More Information
  • Corresponding author:

    Lei Cao, leicao@rcees.ac.cn

  • Iderbat Damba and Junjian Zhang: Shared first authors

  • Received Date: 26 Feb 2021
  • Accepted Date: 27 Nov 2021
  • Available Online: 24 Apr 2022
  • Publish Date: 15 Dec 2021
  • Background 

    The Swan Goose (Anser cygnoides) breeds across Mongolia and adjacent China and Russia and winters exclusively in China. It is globally threatened, showing long-term major range contractions and declining abundance, linked to habitat loss and degradation. We remain ignorant about the biogeographical subpopulation structure of the species and potential differences in their migration timing, stopovers and schedules, information that could be vital to effective conservation of different elements of the species population, which we address here with results from a telemetry study.

    Methods 

    In 2017–2018, we attached GPS/GSM telemetry devices to 238 Swan Geese on moulting sites in three discrete parts of their summering area (Dauria International Protected Area, Central Mongolia and Western Mongolia), generating 104 complete spring and autumn migration episodes to compare migration speed and nature between birds of different summer provenances.

    Results 

    Birds from all three breeding areas used almost completely separate migration routes to winter sympatrically in the Yangtze River floodplain. Although many features of the spring and autumn migrations of the three groups were similar, despite the significantly longer migration routes taken by Western Mongolian tagged birds, birds from Dauria Region arrived significantly later in winter due to prolonged staging in coastal areas and took longer to reach their breeding areas in spring. Among birds of all breeding provenances, spring migration was approximately twice as fast as autumn migration. Areas used by staging Swan Geese (mainly wetlands) in autumn and spring almost never fell within national level protected areas, suggesting major site safeguard is necessary to protect these critical areas.

    Conclusions 

    This study showed the discreteness of migration routes taken by birds of different summer provenances and differences in their migratory patterns, highlighting key staging areas (Yalu River Estuary in China/North Korea for Dauria Region breeding birds, Daihai Lake for Central Mongolian and Ordos Basin for Western Mongolian birds). Based on this new knowledge of the biogeographical subpopulation structure of the Swan Goose, we need to combine data on subpopulation size, their distribution throughout the annual life cycle and conservation status, to develop more effective conservation strategies and measures to reverse population decline throughout the range.

  • In temperate-breeding birds, individuals must be able to adapt to the annual cycle of changing environmental conditions by adjusting morphology, physiology and behavior (Wingfield 2008). Phenotypic flexibility, which means an individual switches its phenotype (e.g. morphological, physiological, and behavioral traits) from one life-history stage to another, is a critical way to maximize ecological fitness (Piersma and Drent 2003; Wingfield 2008).

    Alkaline phosphatase (ALP) is an isozyme family in various tissues particularly concentrated in the liver, kidney, bone, and placenta (Iqbal 2011). ALP is a hydrolase enzyme responsible for the dephosphorylation from nucleotides, proteins, alkaloids etc., therefore, it plays critical roles in regulating the metabolism of energy and minerals (Lallès 2014). Previous studies have shown that plasma ALP activity is associated with bone growth and can be a sensitive indicator of skeletal development in various avian species, e.g. Spanish Imperial Eagle (Aquila adalberti) (Dobado-Berrios and Ferrer 1997), Black Vulture (Aegypius monachus) (Villegas et al. 2002), Pigeon Guillemot (Cepphus columba) (Seiser et al. 2000), White Stork (Ciconia ciconia) (Smits et al. 2007), and Great Tit (Parus major) (Tilgar et al. 2004, 2008). Furthermore, evidences have shown that plasma ALP activity is positively correlated with nutritional status, and can vary rapidly in response to the availability of food (Viñuela and Ferrer 1997; Villegas et al. 2002).

    The energy reserves and nutritional state of individuals in free-living birds can be reflected by body condition, including body mass and size-corrected mass (SCM; Bryant 1988; Jakob et al. 1996; Merila and Wiggins 1997; Zhao et al. 2017). Hematocrit (Hct), the volume of red blood cells within the total volume of blood, is used as an estimate of the extent and efficiency of oxygen-carrying capacity of individuals (Fair et al. 2007; Pap et al. 2015). Generally, a low Hct is generally associated with poor nutritional state (Richner et al. 1993; Fair et al. 2007). In birds, Hct has been commonly used as body condition index, and also regarded as an indicator of individual quality and fitness (Fair et al. 2007; Williams 2012; Zhao et al. 2017). Furthermore, body mass, SCM, and Hct all vary with life-history stage (Stearns 1989; Wojczulanis-Jakubas et al. 2015; Krause et al. 2016; Zhao et al. 2017), which is associated with plasma ALP activities (Villegas et al. 2002).

    Recently, assessment of body condition and nutritional status has become more common in ecological studies as an approach to understanding the individual variations and life history trade-offs (Cam et al. 2016; Crates et al. 2016). In view of plasma ALP activity being considered as a physiological indicator, it may have useful applications in the assessment of the individual variability and physiological state from different life-history stages. The information of life-history dependent relationship between plasma ALP activity and body condition, is critical to understanding how free-living animals fine-tune the trade-off between reproduction and survival so as to optimize their chances of survival during nonbreeding stage, and successful reproduction during breeding stage (Stearns 1989; Cox et al. 2010). However, little information is available on the link between plasma ALP activity and body condition.

    The Eurasian Tree Sparrow (Passer montanus) is a seasonally breeding species that is widely distributed across the Eurasian continent. Previous studies have demonstrated that the body mass or body condition of Eurasian Tree Sparrows vary with life-history stage (Li et al. 2008, 2011, 2012; Zheng et al. 2014) and living environment (Zhang et al. 2011; Sun et al. 2016, 2017). Furthermore, male sparrows during the early breeding stage had significantly greater Hct values compared to those from the early wintering stage, whereas there were no significant differences in SCM between the two life-history stages (Zhao et al. 2017). In the present study, we further determined the changes of plasma ALP levels in both the breeding and the wintering stages, and examined the relationships between ALP and SCM, and Hct in the same experimental animals (Zhao et al. 2017).

    Free-living Eurasian Tree Sparrows (Passer montanus) were captured opportunistically by mist nets in October 24, 2015 (the early wintering stage) and April 28, 2016 (the early breeding stage), on the campus of Hebei Normal University, Hebei Province, China (38°01.83′N, 114°31.50′E, elevation: 75 m). The birds were sexed by polymerase chain reaction following the procedures described in Round et al. (2007) since the Eurasian Tree Sparrow is sexually monomorphic. Subsequent measurements of body condition and plasma ALP activities were performed on male birds only.

    Each individual was caged (50 cm × 34 cm × 33 cm) at an ambient temperature of 20 ℃, and provided with food and water ad libitum. Birds sampled in the wintering stage were kept under a stimulated natural photoperiod (10L/14D; n = 27), whereas those sampled in the breeding stage were kept under a stimulated natural photoperiod (14L/10D; n = 26). Birds were acclimated under these conditions for 12-14 days.

    After acclimation, approximately 80 μL blood were collected by piercing the alar vein with a 26-gauge needle and collecting blood into heparinized microhematocrit capillary tubes. Blood samples were stored on ice before being centrifuged at 855g for 10 min. Hct was measured as described in Zhao et al. (2017). Fresh plasma was split into several fractions and stores at -80 ℃, and one of fractions was used for ALP assay.

    Each bird was weighed to the nearest 0.1 g, and its wing length was measured to the nearest 1 mm. The SCM was calculated and reported in Zhao et al. (2017). After sampling, the birds were used for other experiments. All protocols were approved by the Institutional Animal Care and Use Committee (HEBTU2013-7), and the Ethics and Animal Welfare Committee (No. 2013-6) of Hebei Normal University, China, and were carried out under scientific collecting permits issued by the Departments of Wildlife Conservation (Forestry Bureau) of Hebei Province, China.

    Plasma ALP activities were measured by an automatic biochemical analyzer (Mindray BS-180) with commercially available kits (Mindray Corp., Shenzhen, China) after the plasma was diluted with dH2O (1:39). All samples were run in duplicate. The intra- and inter-assay variations were 6.9 and 9.4%, respectively.

    We ran Shapiro-Wilk normality test to examine the normal distributions of body mass, SCM, Hct, and ALP activity. All the variables met the normal distribution. The statistical significance of differences in body mass and plasma ALP activity between the breeding and the wintering stages were determined by Welch's t-tests (the data of SCM and Hct have been reported in Zhao et al. 2017). We ran a multiple regression analysis (MRA) using the glm function to obtain optimal models of plasma alkaline phosphatase (ALP) activity against life-history stage and mass, SCM, or Hct and their interactions in Program R v. 3.3.2. (R Core Team 2016). The homogeneity of variances was tested with three outliers removed before conducting statistical tests. All analyses were performed and all figures generated, using car, MASS, and ggplot2 packages in Program R v. 3.3.2. The data are shown as mean ± SD.

    There were no significant differences in body mass of male Eurasian Tree Sparrows between the breeding (18.88 ± 0.19 g) and the wintering stages (19.36 ± 0.23 g; t1, 57 = 1.59, p = 0.118), whereas the birds in the breeding stage had significantly lower ALP activities (442.9 ± 9.9 U/L) than those in the wintering stage (593.4 ± 18.0 U/L; t1, 51 = 7.2, p < 0.001).

    ALP activity was not correlated with individual body mass in both stages. However, ALP activity was positively correlated with individual SCM and Hct (Table 1). There were significant effects of the interaction 'season × SCM' and 'season × Hct', respectively (Table 1). Specifically, we found a positive relationship between ALP and SCM, or Hct in the wintering, but no significant relationships in the breeding stages (statistical results are shown in Fig. 1).

    Table  1.  Statistical results of best fitted regression models of plasma alkaline phosphatase (ALP) activity against life-history stage (stage, dummy variable) and body mass (Mass), size-corrected mass (SCM), or hematocrit (Hct) and their interactions in male Eurasian Tree Sparrows (Passer montanus) from the breeding and the wintering stages
    Variable Model Standardized β value SE t p
    MassIntercept0.6580.1484.461< 0.001
    Stage: breeding‒1.2900.209‒6.179< 0.001
    Mass0.1870.1061.7740.083
    SCMIntercept0.7900.1365.799< 0.001
    Stage: breeding‒1.4560.190‒7.653< 0.001
    SCM0.5340.1463.655 0.001
    Stage × SCM‒0.5560.194‒2.868 0.006
    HctIntercept0.8730.1406.245< 0.001
    Stage: breeding‒1.5870.200‒7.930< 0.001
    Hct0.5400.1423.793< 0.001
    Stage × Hct‒0.5060.202‒2.501 0.016
    Italics mean that there is statistical significance in the results, in which significance is set at p = 0.05
     | Show Table
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    Figure  1.  Correlations between plasma alkaline phosphatase (ALP) and size-corrected mass (SCM) (a wintering: df = 22, t = 2.858, p = 0.009; breeding: df = 23, t = -0.281, p = 0.781), and hematocrit (Hct) (b wintering: df = 22, t = 3.036, p = 0.006; breeding: df = 23, t = 0.372, p = 0.713), of male Eurasian Tree Sparrows in the wintering or the breeding stages. Shaded areas are 95% confidence limits

    Body mass in birds is often affected by food availability and therefore it can reflect the amount of stored energy (Merila and Wiggins 1997; Cuthill et al. 2000). Loss of body mass is thought to reflect the mobilization of energy stores via protein catabolism during periods of increased energetic expenditure (Bryant 1988; Merila and Wiggins 1997). However, the absence of significant differences in body mass and SCM (reported in Zhao et al. 2017) of male Eurasian Tree Sparrows between the breeding and the wintering stages suggests that the energetic requirements might be constant in the two life-history stages.

    The mean ALP activities in male Eurasian Tree Sparrows lay within the previously documented ranges in European Starlings (Sturnus vulgaris) but are higher than the values in Red-winged Blackbirds (Agelaius phoeniceus), Northern Bobwhites (Colinus virginianus, and Common Grackles (Quiscalus quiscula) (Hill and Murray 1987) and Black Vulture (Villegas et al. 2002). We found male Eurasian Tree Sparrows during the breeding stage had significantly decreased ALP activities compared to those in the wintering stage. Our results are in line with previous findings in captive Northern Bobwhites, Red-winged Blackbirds, Common Grackles but European Starlings (Hill and Murray 1987). Given that ALP activity could be affected by food availability or energetic condition, whether such seasonal differences are associated with life-history trade-offs of resources allocation warrants to be further determined.

    The plasma ALP activities in male Eurasian Tree Sparrows were positively correlated with SCM and Hct during the wintering stage. Our results are in accordance with a positive relationship between ALP activity and condition index in Black Vulture nestlings (Villegas et al. 2002), and between ALP activity and nutritional status in rats (Martins et al. 1998).

    Given that SCM and Hct are defined as the status of metabolic reserves (Newton 1993; Fair et al. 2007) and plasma ALP activity is involved in regulating energetic metabolism (Lallès 2014), the positive relationships between plasma ALP activity and SCM, or Hct may provide reliable evidences for direct link of morphological indices and hematologic parameters. Our results suggest that the plasma ALP activity can be used as an indicator of the physiological state for analyzing phenotypic flexibility and individual variation related to body condition or nutritional status of free-living animals in the wintering stage. Whether individuals with better body condition and higher ALP activities have increased fitness requires further investigation.

    However, in the breeding stage, plasma ALP activities of male Eurasian Tree Sparrows were neither correlated with SCM nor Hct. Breeding is considered as an energetically expensive activity that requires high levels of oxygen delivery to active tissues (Williams 1966), which can be reflected by elevated Hct in this period relative to nonbreeding stage, e.g. in male Eurasian Tree Sparrow (Zhao et al. 2017), and White-crowned Sparrow (Zonotrichia leucophrys) (Krause et al. 2016). Compared to the nonbreeding stage, male Eurasian Tree Sparrows in breeding stage require sufficient energy and nutrients to meet the demands of maintaining reproduction-related physiological and behavioral activities, e.g. exhibiting peak T levels, competing for territories, building nests, etc. (García-Navas et al. 2008; Li et al. 2012). In the present study, our results indicate that individuals with greater value of SCM and Hct do not necessarily have higher plasma ALP activities in breeding stage.

    Therefore, we found the relationships between plasma ALP activity and SCM, or Hct varied with life-history stage, which is consistent with the relationships between plasma immunological indices and SCM, or Hct in male Eurasian Tree Sparrows (Zhao et al. 2017). Whether such life-history dependent relationships between hematologic parameters and body condition can reflect a strategy of a shift in energy allocation from self-maintenances to reproduction in free-living birds during the breeding stage, i.e. trade-off between individual survival and reproduction, remains to be further investigated.

    In summary, male Eurasian Tree Sparrows exhibited elevated plasma ALP activity but lower Hct values during the wintering compared to the breeding stages. The positive correlations between plasma ALP activities and individual SCM or Hct occurred in the wintering but not in the breeding stages, which suggests that plasma ALP activities can be used as one of the indicators of body condition or nutritional status in free-living birds for analyzing individual variation in nonbreeding stage. Such life-history dependent relationships between plasma ALP activity and body condition may contribute to our better understanding of the trade-off between individual survival and reproduction in free-living animals.

    DML conceived the research project and led the writing, YLZ and LG collected the data, BHZ, XBG, and YFW analyzed the data. All authors read and approved the final manuscript.

    This work was supported by the National Natural Science Foundation of China (Grant Nos. 31672292, 31372201), and the Natural Science Foundation of Hebei Province (C2017205059).

    The authors declare that they have no competing interests.

  • Alves JA, Dias MP, Mendez V, Katrinardottir B, Gunnarsson TG. Very rapid long-distance sea crossing by a migratory bird. Sci Rep. 2016;6: 38154.
    An A, Zhang Y, Cao L, Jia Q, Wang X. A potential distribution map of wintering Swan Goose (Anser cygnoides) in the middle and lower Yangtze River floodplain, China. Avian Res. 2018;9: 43.
    Batbayar N, Takekawa JY, Newman SH, Prosser DJ, Natsagdorj T, Xiao X. Migration strategies of Swan Geese Anser cygnoides from northeast Mongolia. Wildfowl. 2011;61: 90–109.
    Batchuluun E, Dash D. Natural zones and regions of Mongolia. In: Batchuluun E, editor. Physical geography of Mongolia. Ulaanbaatar: Mongolian State University of Education; 2020. p. 375–95.
    Benhamou S. How to reliably estimate the tortuosity of an animal's path: straightness, sinuosity, or fractal dimension? J Theor Biol. 2004;229: 209–20.
    BirdLife International. Species factsheet: Anser cygnoid. 2018. . Accessed 1 Jan 2021.
    Bodey TW, Cleasby IR, Bell F, Parr N, Schultz A, Votier SC, et al. A phylogenetically controlled meta-analysis of biologging device effects on birds: deleterious effects and a call for more standardized reporting of study data. Methods Ecol Evol. 2018;9: 946–55.
    Bub H. Bird trapping and bird banding: a handbook for trapping methods all over the world. Ithaca: Cornell University Press; 1991.
    Bustnes JO, Moe B, Helberg M, Phillips RA. Rapid long-distance migration in Norwegian Lesser Black-backed Gulls Larus fuscus fuscus along their eastern flyway. Ibis. 2013;155: 402–6.
    Chen Y, Zhang Y, Cao L, de Boer WF, Fox AD. Wintering Swan Geese maximize energy intake through substrate foraging depth when feeding on buried Vallisneria natans tubers. Avian Res. 2019;10: 6.
    Choi C-Y, Lee K-S, Poyarkov ND, Park J-Y, Lee H, Takekawa JY, et al. Low survival rates of Swan Geese (Anser cygnoides) estimated from neck-collar resighting and telemetry. Waterbirds. 2016;39: 277–86.
    Damba I, Fang L, Yi K, Zhang J, Batbayar N, You J, et al. Flyway structure, breeding, migration and wintering distributions of the globally threatened Swan Goose Anser cygnoides in East Asia. Wildfowl. 2020;6: 97–123.
    DeLuca WV, Woodworth BK, Rimmer CC, Marra PP, Taylor PD, McFarland KP, et al. Transoceanic migration by a 12 g songbird. Biol Lett. 2015;11: 20141045.
    Deng X, Zhao Q, Fang L, Xu Z, Wang X, He H, et al. Spring migration duration exceeds that of autumn migration in Far East Asian Greater White-fronted Geese (Anser albifrons). Avian Res. 2019;10: 19.
    Drent RH, Eichhorn G, Van Der Graaf S, Stahl J. Migratory connectivity in Arctic Geese: looking for the weakest link. J Ornithol. 2006;147: 52.
    Fox AD, Leafloor JO. A global audit of the status and trends of Arctic and Northern Hemisphere goose populations. Akureyri: Conservation of Arctic Flora and Fauna International Secretariat; 2018.
    Gombobaatar S, Monks EM. Regional Red List Series Vol. 7. Birds. Zoological Society of London, National University of Mongolia and Mongolian Ornithological Society; 2011
    Gong P, Wang J, Yu L, Zhao Y, Zhao Y, Liang L, et al. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+data. Int J Remote Sens. 2013;34: 2607–54.
    Gong P, Liu H, Zhang M, Li C, Wang J, Huang H, et al. Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017. Sci Bull. 2019;64: 370–3.
    Hawkes LA, Balachandran S, Batbayar N, Butler PJ, Chua B, Douglas DC, et al. The paradox of extreme high-altitude migration in bar-headed geese Anser indicus. Proc Biol Sci. 2013;280: 20122114.
    Henningsson P, Karlsson H, Backman J, Alerstam T, Hedenstrom A. Flight speeds of swifts (Apus apus): seasonal differences smaller than expected. Proc R Soc B. 2009;276: 2395–401.
    Kokko H. Competition for early arrival in migratory birds. J Anim Ecol. 1999;68: 940–50.
    Kölzsch A, Müskens GJDM, Kruckenberg H, Glazov P, Weinzierl R, Nolet BA, et al. Towards a new understanding of migration timing: slower spring than autumn migration in geese reflects different decision rules for stopover use and departure. Oikos. 2016;125: 1496–507.
    Millspaugh JJ, Marzluff JM. Radio-tracking and animal populations: past trends and future needs. In: Millspaugh JJ, Marzluff JM, editors. Radio tracking and animal populations. California: Academic Press; 2001. p. 383–93.
    Milonoff M, Poysa H, Runko P. Factors affecting clutch size and duckling survival in the common goldeneye Bucephala clangula. Wildlife Biol. 1998;4: 73–80.
    Moore F, Smith R, Sandberg R. Stopover ecology of intercontinental migrants: solutions to problems and consequences for reproductive performance. In: Greenberg R, Marra PP, editors. Birds of Two Worlds: The Ecology and Evolution of Migration. Baltimore: Johns Hopkins University Press; 2005. p. 251–61.
    Perrins CM. The timing of birds' breeding seasons. Ibis. 1970;112: 242–55.
    R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Core Team; 2019. . Accessed 20 Jan 2021.
    van Wijk RE, Kolzsch A, Kruckenberg H, Ebbinge BS, Muskens GJDM, Nolet BA. Individually tracked geese follow peaks of temperature acceleration during spring migration. Oikos. 2012;121: 655–64.
    Wang X, Cao L, Batbayar N, Fox AD. Variability among autumn migration patterns of Mongolian Common Shelducks (Tadorna tadorna). Avian Res. 2018a;9: 46.
    Wang X, Cao L, Bysykatova I, Xu ZG, Rozenfeld S, Jeong W, et al. The Far East taiga forest unrecognized inhospitable terrain for migrating Arctic-nesting waterbirds? Peerj. 2018b;6: e4353.
    Wu B, Qian J, Zeng Y, Zhang L, Yan C, Wang Z, et al. Land Cover Atlas of the People's Republic of China (1: 1000000). Beijing: China Map Publishing House; 2017. (In Chinese).
    Xu F, Si Y. The frost wave hypothesis: How the environment drives autumn departure of migratory waterfowl. Ecol Indic. 2019;101: 1018–25.
    Zhang J, Xie Y, Li L, Batbayar N, Deng X, Damba I, et al. Assessing site-safeguard effectiveness and habitat preferences of Bar-headed Geese Anser indicus at their stopover sites within Qinghai-Tibet Plateau using GPS/GSM telemetry. Avian Res. 2020;11: 49.
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