Processing math: 100%
Xiaofeng LIU, Nikita CHERNETSOV. 2012: Avian orientation: multi-cue integration and calibration of compass systems. Avian Research, 3(1): 1-8. DOI: 10.5122/cbirds.2012.0001
Citation: Xiaofeng LIU, Nikita CHERNETSOV. 2012: Avian orientation: multi-cue integration and calibration of compass systems. Avian Research, 3(1): 1-8. DOI: 10.5122/cbirds.2012.0001

Avian orientation: multi-cue integration and calibration of compass systems

More Information
  • Author Bio:

    Xiaofeng LIU: Xiaofeng Liu E-mail: xfliubme@gmail.com

  • Corresponding author:

    Nikita CHERNETSOV, E-mail: nikita.chernetsov@gmail.com

  • Received Date: 20 Sep 2011
  • Accepted Date: 10 Jan 2012
  • Available Online: 23 Apr 2023
  • Migratory birds are known to use a number of different orientation cues to determine and maintain the direction of their movements. They are able to use at least three different sources of compass information, including solar, stellar and geomagnetic cues. However, little is known about how these cues are calibrated into uniform reference direction information, while the hierarchy of these cues remains controversial. In recent studies, researchers suggest that avian migrants calibrate their geomagnetic compass on sunset cues, whereas others fail to find such patterns and insist on the prevalence of the magnetic compass. We carefully reviewed the existing literature and suggest that the conflicting results reported by different authors are due to genuine variation among species and propose hypotheses to explain this variation.

  • The lake wetlands in the middle and lower Yangtze River floodplain are important stopover and wintering sites for migratory waterbirds on the East Asian-Australian flyway. In recent years, due to the over-exploitation of lake resources, wetland degradation has become a serious issue and habitats, suitable for these migratory waterbirds, are disappearing. Food resource utilization is characterized by interspecific competition among wintering waterbirds, which may be intensified by food shortages (Xiang and Wang, 2005; Jiang et al., 2007; Wang et al., 2011). The wintering period is a critical period in the yearly cycle of waterbirds. Sufficient energy supplements in this period are critical to their migration, reproduction and survival (Morrison et al., 2007; Anna, 2010; Both et al., 2010). Food, space and other resources are extremely limited in degraded wetlands, especially in cold and severe winters. Their competitive intensity usually reaches its peak at this time (Oksanen, 1987). The mechanism of resource partitioning for waterbirds inhabiting the lake wetlands has attracted considerable attention of late.

    Species coexist through resource partitioning, including the partition of habitat, food and habitat utilization time (Schoener, 1974; Mittelach, 1984; Reinert, 1984). Variations of habitat utilization and foraging behavior of coexisting species have been considered evolutionary strategies to partition limited resources and to minimize potential interspecific competition (Jenni, 1969; Willard, 1977; Ishtiaq, 2010). Temporal-spatial variations of habitats are the main factors affecting habitat utilization (Kelly et al., 1996; Ribeiro, 2004). In a highly degraded wetland ecosystem, common resources are shared by large flocks of migratory waterbirds. These high-density waterbird flocks may induce greater interspecific competition (Burger et al., 1977; Alatalo et al., 1985; Beerens et al., 2011). As a result, significant differences may be found in microhabitat utilization and food selection (Davis and Smith, 2001; Vahl et al., 2005; Kober and Bairlein, 2009).

    Cranes and geese are common wintering waterbirds inhabiting the lakes of the middle and lower Yangtze River floodplain. The Hooded Crane (Grus monacha) is a vulnerable species (VU) on the IUCN red list and a species of wildlife under first class state protection in China. The Bean Goose (Anser fabalis), the Greater White-fronted Goose (A. albifrons) and the Lesser White-fronted Goose (A. erythropus) are three common goose species in the wetlands of the middle and lower Yangtze River floodplain. They are regarded as indicator species of lake ecosystems due to their sensitivity to habitat change. These waterbirds migrate southwards to the wintering grounds in the middle and lower reaches of the Yangtze River in late October every year. The main habitat of Hooded Cranes and these three goose species in winter are the grasslands, farmlands and shallow-water areas. In general, the wintering Hooded Cranes occupy the dry lakeshores, grasslands and paddy fields. They mainly feed on tubers of Vallisneria natans, as well as on seedlings of Polygonum lapathifolium, occasionally on Potamogeton malainus, Phalaris arundinacea, Cynodom dactylon, Carex unisexualis, Cyperus sp., as well as on wheat seedlings, rice grains, spiral shells and mussels. Their diet is affected by the availability of food resources in their wintering habitat (Wang and Hu, 1986; Liu et al., 2001). The three goose species often assemble in mixed flocks, as a guild with extremely similar characteristics of habitat utilization (Yang, 2011; Chen and Zhou, 2011). Some of their food resources overlap with those of the Hooded Cranes, such as Carex spp., Phalaris arundinacea, rice grains and Cynodom dactylon (Fox et al., 2008; Zhao et al., 2010). Hence, geese are the major competitors of Hooded Cranes. This study aims: (a) to gain an insight into the characteristics of habitat utilization of wintering Hooded Cranes and the goose guild in lake wetlands and (b) to explore resource partitioning between Hooded Cranes and the goose guild.

    Shengjin Lake (116°55′–117°15′E, 30°15′–30°30′N), located to the south of the Yangtze River bank, is a shallow-water, river-connecting lake. A river is connected to the lake via the Huangpen Sluice built in 1965. The lake area is at its largest at 14000 ha in the high water season, while it is smallest at 3400 ha in the low water season. The lake usually is divided into two parts: the upper part and lower part from south to north. The region where the lake is located belongs to the northern subtropical humid zone with an annual mean temperature of 16.1 ℃ and precipitation of 1600 mm. Shengjin Lake is one of the most important wintering and stopover grounds along the Yangtze River for waterbirds, especially Hooded Cranes, Bean Geese, Greater White-fronted Geese and Lesser White-fronted Geese. As one of the major wintering grounds for migratory waterbirds, it was approved in 1986 to be established as a provincial nature reserve and in 1997 it became a national nature reserve.

    The present study was carried out in the upper part of Shengjin Lake, which is located in the southern part, a core area of this nature reserve. The lake bed is smooth and flat, while the terrain is higher towards the southeast. Cage aquaculture operations had been established at Shengjin Lake for more than ten years, while pond and enclosure culture are commonly seen in the lake. In the low water season, the lake water retreats and a large mudflat is exposed to provide a foraging habitat for the Hooded Crane and other wintering waterbirds. The foraging habitats, consisting of water areas, mudflats, grasslands and paddy fields (Fig. 1), show periodic and dynamic changes.

    Figure  1.  Foraging habitats for Hooded Cranes and other waterbirds at the upper part of Shengjin Lake

    The habitat utilization of Hooded Cranes and geese are affected by periodic changes in the hydrology and mudflat exposure of Shengjin Lake. We divided the wintering period into three stages according to the hydrological variations in the lake. The early stage was before late December. During this time the lake, still at a high water table, started to recede. The middle stage was from the early January to late February in the following year, when the water level dropped quickly and large areas of the lake shore became exposed. The late stage was from late February to the end of March, during which the lake shore had become dry and the water level began to rise again.

    The habitat types of the upper Shengjin Lake varied with the hydrological conditions during the low water season. At the middle stage, habitats were plentiful, including deep-water areas, shallow-water areas, mudflats, grasslands and paddy fields. The deep-water area in the lake was only 0.5 m deep. The shallow-water area refers to the water body with a depth of less than 0.5 m. The mudflats are tidal flats with large areas of the lake beach exposed, when the water has retreated. Some smartweeds, sedges and other plants grow in areas where the water retreats early. Grasslands are mudflats with a vegetation cover of more than 20%, dominated by herbaceous plants. Paddy fields are in polders where rice is planted in the spring and summer and harvested in autumn and then wheat is planted in late winter.

    Foraging habitats for Hooded Cranes and geese are relatively stable at a certain wintering stage at Shengjin Lake (Cao et al., 2010; Zhou et al., 2010). These foraging habitats are centralized in Xinjun village, as well as in the range between Yang'etou and Shegan villages (Fig. 1).

    We combined the methods of fixed route and fixed site observations to investigate the habitats at the upper part of Shengjin Lake from November 15, 2011 to April 1, 2012. Each survey covered the whole array of habitat types. Four routes were included in one sampling survey, which lasted from 1 to 3 days. Sampling surveys which were not completed were excluded from the final samples. Therefore, the sample sizes of Hooded Crane and geese were equal. The valid data collection consisted of a total of 59 days and 38 samples, including 15 samples collected in 30 days for the early wintering stage, 13 samples collected in 19 days for the middle wintering stage and 10 samples in 10 days for the late wintering stage. The distribution of Hooded Cranes and geese at the upper lake were determined by means of a fixed route survey. The surveyed routes were from Xinjun to Xiaoluzui village, Xiaoluzui to Shegan village, Xinjun to Shenshanzui village and from Shenshanzui to Shegan village. Fixed site observatione were carried out when we focused on Hooded Cranes and/or geese. The area within a radius of 1 km was observed by a binocular telescope (BOWAS 8 × 42) and a monocular telescope (SWAROVSKI 20-60 × 80); we recorded the number and habitat types. A direct counting method was employed for small number of cranes and geese (generally less than 300 birds). For large flocks, a group counting method was adopted. That is, the flock was divided into several smaller individual groups such as 10, 50 to 100. The number of birds in the whole flock was estimated by counting the number of birds in each smaller flock (Howes and Bakewill, 1989; Ma, 2006). Since the diets of the three goose species are similar and often mixed in high-density flocks, the three goose species were treated as one guild for the purpose of counting.

    Based on the distribution of the populations of Hooded Cranes and geese in each survey, the utilization rates (U) of all habitat types by Hooded Crane or goose guild were calculated as: Ui = Ni/N, where Ui is the utilization rate of the ith habitat type by waterbirds; Ni the number of the waterbirds in the ith habitat type and N the total number of waterbirds in all habitat types.

    The mean utilization rate (Mean) and standard error (SE) in all habitats and all wintering stages were calculated.

    The utilization rates of habitats by the waterbirds at the same wintering stage were compared with a Kolmogorov-Smirnov test in SPSS17.0. The utilization rates in five habitat types were checked to see if the assumption of a normal distribution were met. If met (p > 0.05), an independent-sample t test was performed; if not (p < 0.05), the Mann-Whitney U test was used. The significance level was set as α = 0.05.

    The Shannon-Weiner diversity index was used to measure the width of the spatial niche (Krebs, 1989; Davis and Smith, 2001; Kober and Bairlein, 2009) of the Hooded Crane and goose guild.

    Bi=ΣPilnPi

    where Bi is width of the niche; Pi the percentage of individual birds observed in the ith habitat type from the total number of Hooded Cranes or goose guild.

    The spatial niche overlap of the Hooded Crane and the goose guild was calculated using Pianka's (1974) equation (Isacch et al., 2005; Kober and Bairlein, 2009).

    Oij=ΣPikPjk/(ΣP2ikΣP2jk)1/2

    where Pjk and Pjk are the proportions of Hooded Crane (i) and goose guild (j) observed in the kth habitat type.

    Oij=0  whennonicheoverlap;Oij=1  whencompleteoverlap.

    The four major habitat types for Hooded Cranes at Shengjin Lake consisted of shallow-water areas, mudflats, grasslands and paddy fields. The most utilized habitat type was grasslands at the early wintering stage, with a utilization rate of 0.454 ± 0.083 (n = 15), followed by 0.427 ± 0.088 (n = 15) for the paddy fields. The utilization rates of shallow-water areas and mudflats were relatively low, i.e., 0.053 ± 0.024 (n = 15) and 0.066 ± 0.021 (n = 15), respectively. The most frequently utilized habitats were grasslands with a utilization rate of 0.435 ± 0.115 (n = 13) and mudflats of 0.363 ± 0.101 (n = 13) at the middle wintering stage, followed by 0.190 ± 0.091 (n = 13) for the shallow-water areas and 0.012 ± 0.008 (n = 13) for paddy fields. The utilization rate of grasslands was 0.959 ± 0.015 (n = 10), which was clearly higher than that of other habitats at the late wintering stage. The utilization rate was 0.033 ± 0.011 (n = 10) for shallow-water areas and 0.008 ± 0.007 (n = 10) for mudflats. The paddy fields were not utilized (Fig. 2).

    Figure  2.  Habitat utilization rates of wintering Hooded Crane at three wintering stages

    The major habitat types utilized by the goose guild included deep-water and shallow-water areas, mudflats and paddy fields. The grassland habitat was mainly utilized at the early wintering stage, with a utilization rate of 0.627 ± 0.036 (n = 15), followed by shallow-water areas of 0.201 ± 0.033 (n = 15), paddy fields of 0.161 ± 0.038 (n = 15), deep-water areas of 0.009 ± 0.005 (n = 15) and mudflats of 0.001 ± 0.000 (n = 15). At the middle wintering stage, the utilization rate was 0.491 ± 0.069 (n = 13) for grasslands, 0.323 ± 0.059 (n = 13) for shallow-water areas, 0.147 ± 0.069 (n = 13) for mudflats and 0.034 ± 0.018 (n = 13) for paddy fields. The deep-water areas were rarely utilized, with a utilization rate of 0.004 ± 0.004 (n = 13). At the late wintering stage, the major habitat utilized was grassland with a utilization rate of 0.616 ± 0.072 (n = 10), followed by 0.277 ± 0.052 (n = 10) for the shallow-water area and 0.107 ± 0.051 (n = 10) for the deep-water area. The mudflat and paddy field habitats were basically not utilized (Fig. 3).

    Figure  3.  Habitat utilization rates of wintering geese at three wintering stages

    At the early wintering stage, significant differences for habitat utilization rates between the Hooded Crane and goose guild were found (deep-water: df = 28, Z = −2.105, p = 0.035; shallow-water: df = 28, t = 3.505, p = 0.002; mudflat: df = 28, t = −2.931, p = 0.007; paddy field: df = 28, t = −2.686, p = 0.012) in the five types of habitats except for grassland (df = 28, t = 1.849, p = 0.075). Significant differences were also observed in the utilization rates of shallow-water habitat at the middle wintering stage (df = 24, Z = −2.590, p = 0.010), but not in other habitats (deep-water: df = 24, Z = −1.000, p = 0.317; mudflat: df = 24, t = −1.690, p = 0.104; grassland: df = 24, t = 0.403, p = 0.690; paddy field: df = 24, Z = −0.633, p = 0.526). Extremely significant differences were found in the utilization of the deep-water areas, shallow-water areas and grasslands at the late wintering stage (df = 18, Z = −2.796, p = 0.005; df = 18, t = 4.382, p = 0; df = 18, t = −4.436, p = 0, respectively). No significant difference was found in the utilization of the mudflats (df = 18, Z = −1.000, p = 0.317) (Table 1).

    Table  1.  Comparison of habitat utilization rates of Hooded Cranes and goose guild in the winter
    Wintering period Deep water Shallow water Mudflat Grassland Paddy field
    Z p Z/t p Z/t p Z/t p Z/t p
    Early n = 30 −2.105 0.035 3.505 0.002 −2.931 0.007 1.849 0.075 −2.686 0.012
    Middle n = 26 −1.000 0.317 −2.590 0.010 −1.690 0.104 0.403 0.690 −0.633 0.526
    Late n = 20 −2.796 0.005 4.382 0.000 −1.000 0.317 −4.436 0.000 0.000 1.000
    Note: Independent sample t test or Mann-Whitney U test, 0.01 ≤ p < 0.05 significant difference, p < 0.01 extremely significant difference.
     | Show Table
    DownLoad: CSV

    The width of the spatial niche of Hooded Cranes and goose guild varied during the wintering stage. This niche width of the Hooded Cranes was 1.057 at the early stage, 1.099 at the middle stage and 0.191 at the late stage. The width of the spatial niche was the highest at the middle stage, followed by the early and late stages. The width of the spatial niche of the goose guild was 0.959 at the early stage, 1.133 at the middle stage and 0.893 at the late stage. The width was the highest at the middle stage, followed by the early and late stages (Table 2).

    Table  2.  Width of s patial niche and overlap (Oij) of Hooded Cranes and goose guild at three wintering stages
    Width of spatial niche
    Early stage Middle stage Late stage
    Hooded Crane 1.057 1.099 0.191
    Goose guild 0.959 1.133 0.893
    Spatial niche overlap (Oij) 0.854 0.906 0.914
     | Show Table
    DownLoad: CSV

    A difference was found in the niche overlap of the Hooded Crane and goose guild at the three wintering stages. The greatest niche overlap was 0.914 found at the late stage, followed by 0.906 at the middle stage and 0.854 at the early stage (Table 2).

    Waterbirds have to select suitable habitats when facing constantly changing habitats during the winter (Warnock and Takekawa, 1995; Long and Ralph, 2001; Beerens et al., 2011). Resource partitioning is related to its availability in habitats (Kober and Bairlein, 2009). For the waterbirds assembling in flocks, the availability of resources is an important factor affecting flock dynamics (Gawlik, 2002). Therefore, changes in resource availability would cause dynamic changes of the niche of waterbirds (Pearman et al., 2008). When the number of suitable habitats is reduced, the utilization of other habitats will inevitably increase as a compensation for habitat loss (Gerstenberg, 1979; Warnock and Takekawa, 1995; Long and Ralph, 2001). In our study, the variation in water level and seasonal changes of vegetation structure and human activities jointly affected the availability of wetland resources at Shengjin Lake. Thus, the characteristics of habitats and microhabitats would change, further causing dynamic changes in habitat utilization and width of the spatial niche of the Hooded Crane and goose guild.

    Habitat and food availability of waterbirds is closely related to water levels (Safran et al., 2000; Zhao et al., 2010). At the middle wintering stage when the Huangpen Sluice was opened for fishing, the water level of Shengjin Lake dropped quickly and large areas of mudflats became exposed. The underground parts of some aquatic plants were readily accessed, which was favorable for both cranes and geese. At the late wintering stage, the water level rose substantially due to the continuous rainfall in the spring, which submerged most of the mudflats and part of the grasslands. The habitats readily utilized by the waterbirds were reduced and the width of the spatial niches was narrowed (Table 2).

    The seasonal changes of vegetation structure might induce changes in the strategy of resource utilization on the part of birds (Kushlan, 1981; Thomson and Ferguson, 2007). At the early stage, vegetation flourished in the grasslands. The temperature declined at the middle stage and the withering of plants reduced the availablity of the aboveground parts of plants to waterbirds. Therefore, the habitat utilization of the grasslands by Hooded Cranes and geese was somewhat reduced at the middle stage (Figs. 2, and 3). During the late stage, the vegetation in the grasslands began to germinate, providing favorable foraging habitats for grazing waterbirds.

    Grassland reclamation in wetlands, livestock grazing and an enclosure culture resulted in habitat loss, which lowered the resource availability for waterbirds (Wang et al., 2011). Resource-exploiting aquaculture resulted in severe degradation of submerged vegetation, an important food source for waterbirds (Xu et al., 2008). Agricultural activities by farmers usually interfered with the behavior pattern and foraging rate of waterbirds (Luo et al., 2012). Waterbirds foraging in the paddy fields had to face considerable levels of disturbance (Reif et al., 2008). At the early stage, the rice grains were scattered at high density over the newly-harvested fields with few human disturbances. Therefore, the paddy fields were much utilized by the cranes and geese. At the middle stage, human disturbances in the fields, which had been cultivated and changed to wheat fields, increased in intensity. Simultaneously, the middle stage was also a stage for massive fishing. The fishermen usually exploded firecrackers to drive the waterbirds (mainly Phalacrocorax carbo) away from their cage and pond aquaculture, causing the utilization rate to decline in the paddy fields by the cranes and geese. At the late stage, the frequent agricultural activities and dispelling activities may have added to the difficulty of food resource utilization by waterbirds in the paddy field cultivated into winter wheat (Figs. 2 and 3). The density of rice grains scattered in the fields declined as a result of consumption and soil turning (Lee et al., 2001; Amano et al., 2006). If this happened, the paddy field habitats were abandoned gradually by the cranes and geese.

    When the food resources were limited, the waterbirds concentrated within this limited space to search for available food sources, which increased niche overlap and intensified resource partitioning (Kober and Bairlein, 2009). The width of the spatial niche of the Hooded Cranes and goose guild presented similar tendencies of dynamic change in different winter periods (Table 2). This indicates that they had similar requirements for the resources, thereby leading to resource partitioning. The widths of the spatial niche of the goose guild at all stages were all higher than those of the cranes except at the early wintering stage. This shows that the spatial niche of the Hooded Cranes was restricted due to the interspecific competition, compared with geese in a larger group (O'Connor et al., 1975).

    Hooded Cranes and geese shared four common habitat types at Shengjin Lake, i.e., shallow-water areas, mudflats, grasslands and paddy fields. Both used the grasslands intensively with subsequent high utilization rates (Figs. 2 and 3), showing that the greatest habitat competition occurred in the grasslands. Significant differences were found in the utilization rates of all habitats at the early and late stages by the cranes and goose guild (Table 1). This suggests the separation in space, especially when the resource was insufficient. It is a result of different patterns of resource utilization by coexisting species (Oksanen, 1987). It has something to do with the feeding behavior of these cranes and geese, which, in turn, is determined by the morphology of birds, such as the length, width and shape of the bill (Kober and Bairlein, 2009; Aplin and Cockburn, 2012). We discovered in our survey that Hooded Cranes foraged by digging out the underground tubers of plants. The geese mainly feed by biting the aboveground parts of plants. There was spatial separation between the cranes and goose guild. Spatial separation reduces the intensity of resource partitioning (González-Solís et al., 2007). At the early winter, besides grassland habitat, the Hooded Cranes also had a high utilization rate in the paddy fields. The grassland with its abundant Carex was the main habitat utilized by the goose species. Only a small number of Bean Geese utilized the paddy fields. Because the Greater White-fronted Goose is a habitat specialist in China, it prefers to graze on short-sward recessional Carex sedge meadows. The Lesser Whitefronted Goose has a short bill and therefore favors grassland where Carex sedges grow (Zhao et al., 2012; Wang et al., 2012). Their number was low and unstable at Shengjin Lake (Cheng et al., 2009; Wang et al. 2012). At the late wintering stage, the water level rose markedly and the temperature increased. As swimming birds, geese prefer a water habitat. But the cranes were mostly concentrated in the grasslands (Figs. 2 and 3, Table 1).

    The lowest spatial niche overlap at the early stage might be explained by the fact that the number of waterbirds at the site had not reached its peak. Besides, human disturbances to the paddy fields were few during the early winter, corresponding to high availability. The lake water retreated at the middle wintering stage, exposing a large number of mudflats, providing foraging habitats for the cranes and geese. Significant differences were found in the utilization rates of shallowwater areas but not in other habitats (Table 1). However, the niche overlap was slightly higher than that at the early winter. This is mainly due to the fact that the harvested paddy fields were planted with winter wheat with an increased level of human disturbances, causing a decline in the utilization rate. The maximum spatial niche overlap was found at the late stage (Table 2). This is because most mudflats and part of the grasslands were flooded due to a heavy rainfall during this period. Agricultural activities on the paddy fields, where now the winter wheat grew, had clearly increased and the number of usable habitats was reduced. The cranes and geese could only find their energy supply in a limited number of habitats before further migration. When the resources were abundant, competitive release would strengthen the niche overlap (Martínez, 2004). However, the effect of competition usually occurs after some time (Pearman et al., 2008). Obviously, the high niche overlap of Hooded Cranes and the goose guild in our study cannot be classified into this category. Rather, they competed violently for the limited amount of resources.

    Although the cranes and geese have different foraging strategies, they share similar food requirements and wetland resources. The niche overlap was high between them, resulting in severe interspecific competition. The study of the foraging niche overlap is essential between Hooded Crane population and goose guild that will directly imply an important ecological response to the degraded lake.

    This research was supported by the National Natural Science Foundation of China (Grant No. 31172117), the Graduate Student Innovation Research Projects of Anhui University (Grant No. yqh100118) and the Anhui Academic and Technical Leader Fund. We express our sincere thanks to the staff of Shengjin Lake National Nature Reserve for their assistance in the field work.

    The authors are most grateful to Dmitry Kishkinev and to an anonymous reviewer for their comments on earlier drafts of this manuscript. When working on this review, N.C. was supported by grant 12-04-00296-a from the Russian Foundation for Basic Research. X.L. was supported by grant 60905060 from the National Natural Science Foundation of China, grant BS2010DX025 from the Scientific Research Foundation for Excellent Middle-Aged and Youth Scientists of Shandong Province of China and grant 2011B11114 from the Fundamental Research Funds for Central Universities. The writing of this review was inspired by the Bilateral Sino-Russian symposium 'Animal Magnetic Navigation' supported by grant 11-04-91216-NSFC-z from the Russian Foundation for Basic Research and grant 61010164 from the National Natural Science Foundation of China.

  • Able KP, Able MA. 1995. Interactions in the flexible orientation system of a migratory bird. Nature, 375: 230–232.
    Åkesson S, Morin J, Muheim R, Ottoson U. 2002. Avian orientation: effects of cue-conflict experiments with young migratory songbirds in the high Arctic. Anim Behav, 64: 469–475.
    Alerstam T. 2006. Conflicting evidence about long-distance animal navigation. Science, 313: 791–794.
    Bingman VP, Wiltschko W. 1988. Orientation of Dunnocks (Prunella modularis) at sunset. Ethology, 77: 1–9.
    Chernetsov N, Kishkinev D, Kosarev V, Bolshakov CV. 2011. Not all songbirds calibrate their magnetic compass from twilight cues: a telemetry study. J Exp Biol, 214: 2540–2543.
    Cochran WW, Mouritsen H, Wikelski M. 2004. Migrating songbirds recalibrate their magnetic compass daily from twilight cues. Science, 304: 405–408.
    Emlen ST, Emlen JT. 1966. A technique for recording migratory orientation of captive birds. Auk, 83: 361–367.
    Falkenberg G, Fleissner G, Schuchardt K, Kuehbacher M, Thalau P, Mouritsen H, Heyers D, Wellenreuther G, Fleissner G. 2010. Avian magnetoreception: elaborate iron mineral containing dendrites in the upper beak seem to be a common feature of birds. PLoS One, 5: e9231.
    Fleissner G, Holtkamp-Rötzler E, Hanzlik M, Winklhofer M, Fleissner G, Petersen N, Wiltschko W. 2003. Ultrastructural analysis of a putative magnetoreceptor in the beak of homing pigeons. J Comp Neurol, 458: 350–360.
    Fleissner G, Stahl B, Thalau P, Falkenberg G, Fleissner G. 2007. A novel concept of Fe-mineral-based magnetoreception: histological and physicochemical data from the upper beak of homing pigeons. Naturwiss, 94: 631–642.
    Gaggini V, Baldaccini NE, Spina F, Guinchi D. 2010 Orientation of the pied flycatcher Ficedula hypoleuca: cue-conflict experiments during spring migration. Behav Ecol Sociobiol, 64: 1333–1342.
    Marchetti C, Baldaccini NE. 2003. Individual variability in experiments with Emlen funnels. In: Berthold P, Gwinner E, Sonnenschein E (eds) Avian migration. Springer, Berlin, pp 393–405.
    Mouritsen H, Janssen-Bienhold J, Liedvogel M, Feenders G, Stalleicken J, Dirks P, Weiler R. 2004. Cryptochromes and neuronal-activity markers colocalize in the retina of migratory birds during magnetic orientation. PNAS, 101: 14294–14299.
    Mouritsen H, Ritz T. 2005 Magnetoreception and its use in bird navigation. Curr Opin Neurobiol, 15: 406–414.
    Muheim R, Åkesson S, Phillips JB. 2007. Magnetic compass of migratory Savannah sparrows is calibrated by skylight polarization at sunrise and sunset. J Ornithol, 148(Suppl 2): S485–S494.
    Muheim R, Åkesson S, Phillips JB. 2008. Response to R. Wiltschko et al. (J. Ornithol. ): Contradictory results on the role of polarized light in compass calibration in migratory songbirds. J Ornithol, 149: 659–662.
    Muheim R, Moore FR, Phillips JB. 2006a. Calibration of magnetic and celestial compass cues in migratory birds – a review of cue-conflict experiments. J Exp Biol, 209: 2–17.
    Muheim R, Phillips JB, Åkesson S. 2006b. Polarized light cues underlie compass calibration in migratory songbirds. Science, 313: 837–839.
    Muheim R, Phillips JB, Deutschlander ME. 2009. White-throated sparrows calibrate their magnetic compass by polarized light cues during both autumn and spring migration. J Exp Biol, 212: 3466–3472.
    Newton I. 2008. The Migration Ecology of Birds. Academic Press, London.
    Prinz K, Wiltschko W. 1992. Migratory orientation of pied flycatchers: interaction of stellar and magnetic information during ontogeny. Anim Behav, 44: 539–545.
    Ritz T, Ahmad M, Mouritsen H, Wiltschko R, Wiltschko W. 2010. Photoreceptor-based magnetoreception: optimal design of receptor molecules, cells, and neuronal processing. J R Soc Interface, 7(Suppl 2): S135–S146.
    Rabøl J. 2010. Orientation by passerine birds under conflicting magnetic and stellar conditions: no calibration in relation to the magnetic field. Dansk Orn Foren Tidskr, 104: 85–102.
    Sandberg R. 1991 Sunset orientation of robins, Erithacus rubecula, with different fields of sky vision. Behav Ecol Sociobiol, 28: 77–83.
    Sandberg R, Bäckman J, Moore FR, Lõhmus M. 2000. Magnetic information calibrates celestial cues during migration. Anim Behav, 60: 453–462.
    Sandberg R, Ottosson U, Pettersson J. 1991. Magnetic orientation of migratory wheatears (Oenanthe oenanthe) in Sweden and Greenland. J Exp Biol, 155: 51–64.
    Sokolov LV. 1997. Philopatry of Migratory Birds. Harwood Academic Press, Amsterdam.
    Weindler P, Liepa V. 1999. The influence of premigratory experience on the migratory orientation of birds. In: Adams NJ, Slotow RH (eds) Proceedings of the 22nd International Ornithology Congress. BirdLife South Africa, Johannesburg, pp 979–987.
    Wiltschko R, Munro U, Ford H, Wiltschko W. 1999. After-effects of exposure to conflicting celestial and magnetic cues at sunset in migratory Silvereyes, Zosterops lateralis. J Avian Biol, 30: 56–62.
    Wiltschko R, Munro U, Ford H, Wiltschko W. 2001. Orientation in migratory birds: time-associated relearning of celestial cues. Anim Behav 62: 245–250.
    Wiltschko R, Munro U, Ford H, Wiltschko W. 2008a. Contradictory results on the role of polarized light in compass calibration in migratory songbirds. J Ornithol, 149: 607–614.
    Wiltschko R, Munro U, Ford H, Wiltschko W. 2008b. Response to the comments by R. Muheim, S. Åkesson, and J.B. Phillips to our paper "Contradictory results on the role of polarized light in compass calibration in migratory songbirds". J Ornithol, 149: 663–664.
    Wiltschko R, Wiltschko W. 1999. Celestial and magnetic cues in experimental conflict. In: Adams N, Slotow R (eds) Proceedings of 22th International Ornithological Congress. University of Natal, Durban, South Africa, pp 988–1004.
    Wiltschko R, Wiltschko W. 2009. Avian navigation. Auk, 126: 717–743.
    Wiltschko W, Wiltschko R, Munro U, Ford H. 1998a. Magnetic versus celestial cues: cue-conflict experiments with migrating silvereyes at dusk. J Comp Physiol A, 182: 521–925.
    Wiltschko W, Weindler P, Wiltschko R. 1998b. Interaction of magnetic and celestial cues in the migratory orientation of passerines. J Avian Biol, 29: 606–617.
    Zapka M, Heyers D, Hein CM, Engels S, Schneider N-L, Hans J, Weiler S, Dreyer D, Kishkinev D, Wild JM, Mouritsen H. 2009. Visual but not trigeminal mediation of magnetic compass information in a migratory bird. Nature, 461: 1274–1277.
  • Related Articles

Catalog

    Figures(3)

    Article Metrics

    Article views (2946) PDF downloads (1895) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return