Martin Päckert, Yue-Hua Sun, Balduin S Fischer, Dieter Thomas Tietze, Jochen Martens. 2014: A phylogeographic break and bioacoustic intraspecific differentiation in the Buff-barred Warbler (Phylloscopus pulcher) (Aves: Passeriformes, Phylloscopidae). Avian Research, 5(1): 2. DOI: 10.1186/s40657-014-0002-x
Citation:
Martin Päckert, Yue-Hua Sun, Balduin S Fischer, Dieter Thomas Tietze, Jochen Martens. 2014: A phylogeographic break and bioacoustic intraspecific differentiation in the Buff-barred Warbler (Phylloscopus pulcher) (Aves: Passeriformes, Phylloscopidae). Avian Research, 5(1): 2. DOI: 10.1186/s40657-014-0002-x
Martin Päckert, Yue-Hua Sun, Balduin S Fischer, Dieter Thomas Tietze, Jochen Martens. 2014: A phylogeographic break and bioacoustic intraspecific differentiation in the Buff-barred Warbler (Phylloscopus pulcher) (Aves: Passeriformes, Phylloscopidae). Avian Research, 5(1): 2. DOI: 10.1186/s40657-014-0002-x
Citation:
Martin Päckert, Yue-Hua Sun, Balduin S Fischer, Dieter Thomas Tietze, Jochen Martens. 2014: A phylogeographic break and bioacoustic intraspecific differentiation in the Buff-barred Warbler (Phylloscopus pulcher) (Aves: Passeriformes, Phylloscopidae). Avian Research, 5(1): 2. DOI: 10.1186/s40657-014-0002-x
A phylogeographic break and bioacoustic intraspecific differentiation in the Buff-barred Warbler (Phylloscopus pulcher) (Aves: Passeriformes, Phylloscopidae)
According to current taxonomy only three out of 27 Sinohimalayan leaf warbler species (Phylloscopidae) are considered genetically uniform across their entire breeding range along the Southeastern margin of the Qinghai-Tibetan Plateau, the Buff-barred Warbler (Phylloscopus pulcher) being one of them. Because marked differentiation among Himalayan and Chinese populations has been recently demonstrated for a number of Phylloscopus species (or sister species) we investigated the intraspecific variation of a mitochondrial gene, songs and morphology of P. pulcher in a phylogeographic approach.
Methods
We sequenced a fragment of the mitochondrial cytochrome b, reconstructed haplotype networks and analyzed DNA polymorphism among Himalayan and Chinese populations. We measured time and frequency parameters of two distinct song types and analyzed among population-differentiation in a principal component analysis and a discriminant analysis. We also compared measurements of body size dimensions taken from museum specimens.
Results
The mitochondrial haplotype network (cytb) was divided into two distinct clusters corresponding to geographic origin of samples. Pairwise genetic distances among Himalayan and Chinese mtDNA lineages account for 1.3% which coincides with Pleistocene lineage separation at roughly 650, 000 years ago. Genetic diversity is slightly higher in the Chinese part of the specieso range with respect to haplotype and nucleotide diversity while the less diversified Himalayan population lineage shows signs of recent range expansion. The vocal repertoire of P. pulcher comprises two distinct verse types that are combined with short interspersed click notes to long continuous song displays. Trill verse types showed significant differences among regions in almost all measured frequency and time parameters: Chinese males displayed more rapid and more broad-banded trills at a lower pitch. In contrast, warbling verse types showed a distinctively different structure among regions: Himalayan songs consisted of repeated syllables while Chinese songs comprised repetitions of single, long and strongly modulated elements. Subtle morphological differences among specimens from the two study regions could only be confirmed for plumage coloration but not for metric characters.
Conclusions
Based on the genetic and bioacoustic distinctiveness of Chinese Buff-barred Warbler populations, we recommend that the name Phylloscopus pulcher vegetusBangs, 1913 should be re-validated for this taxon.
Foraging in groups offers important benefits for individual birds as members of a group, such as increasing their likelihood of finding food or detecting and avoiding predators (Elgar 1989). Flocking is a common collective behavior of waterbirds, ensuring that the birds are able to spend a larger amount of time foraging rather than conducting anti-predator behavior (Yasué 2005; Beauchamp 2012). Flocking is important for saving foraging time and improving the efficiency of foraging (Beauchamp 2005; Michelena and Deneubourg 2011). Food abundance and risk of predation are key factors affecting bird groups into flocking in foraging habitats (Conradt 1998; Heithaus 2005; Luo et al. 2012; Beauchamp 2013). It is expected that habitats with a higher risk of predation will result in larger foraging flocks and that scarcity of resources will lead to smaller foraging flocks (Kotler et al. 1991; Abramsky et al. 1996; Beauchamp 2009). When food resources are scarce, strong foraging competition will lead to a shortage of foraging opportunities. Due to the scarcity of resources and competition pressure on flocks, the size and structure of the flocks will change. High predation risk has also an effect on flock patterns (Azevedo et al. 2010). In order to obtain enough food, birds stay alert for potential danger in their surroundings during foraging (Li et al. 2012), causing a corresponding reduction in foraging time and opportunity; therefore, predation risk can be considered a foraging cost (Brown and Kotler 2004). Birds are usually apt to accept a less food supply in safer habitats (Lima and Dil 1990; Lima 1998). Some birds would rather forage in high-risk habitats with an abundant food supply (Heithaus and Dill 2002; Barta et al. 2004; Heithaus 2005).
According to the theory of optimal foraging, birds constantly keep adjusting their foraging strategy to adapt to changes in foraging habitats in order to maximize energy intake and minimize predation risk (Kuwae et al. 2010; Sirot et al. 2012). Adjustment of foraging flock patterns is an important embodiment of shifts in foraging strategy. If foragers gather in large groups in habitats with abundant food and high predation risk, they would take advantage of their flock effect to get enough food and reduce the risk of predation (Bekoff 1995; Bahr and Bekoff 1999; Li et al. 2011). By risk and cost tradeoffs of foraging activity, birds opt for suitable habitats and foraging flock patterns (Hansen et al. 2009; Kuwae et al. 2010).
The Hooded Crane is a large migratory East Asian wader, recognized as a vulnerable species in the IUCN Red List of Threatened Species (BirdLife International 2014) and as a grade I species in the China Key Protected Wild Animal List. Their global population consists of approximately 11600 individual cranes (Zhou et al. 2010). Each year, there are about 1000 individual cranes wintering in the wetlands of the middle and lower Yangtze River floodplain. Shengjin Lake is one of the most important wintering sites accommodating one third of all the Hooded Cranes in China (Zhou et al. 2009). The cranes forage in group, where the smallest unit is a family (Wang 1988; Ma et al. 2003; Masatomi 2004). More recently, the foraging habitats of wintering Hooded Cranes have been seriously degraded owing to human activities, especially by high density cage aquaculture and crab fishery, as well as by livestock and poultry raising. The amount of submerged plant material, such as Vallisneria natans and Potamogeton wrightii which are suitable winter food for Hooded Cranes, is declining (Liu et al. 2001; Xu et al. 2008; Fox et al. 2011).
Degradation of lake wetlands and seasonal hydrological fluctuations lead to changes in available food resources (Jing et al. 2007). Hooded Cranes forage in several habitats, such as paddy fields, meadows and mudflats (Zhao et al. 2013). Changes in foraging habitats bring new environmental pressures. It is therefore worthwhile to study whether the Hooded Crane would change its foraging flock pattern as a response to environment changes. Our study had two aims: a) to investigate the distribution of a foraging flock and its flock pattern of Hooded Cranes wintering at Shengjin Lake, and b) to study how food abundance and disturbance affect the size and structure of a wintering flock, in order to shed light on the response of Hooded Cranes to changes in food abundance and disturbance in degenerated foraging habitats.
Methods
Study area
Shengjin Lake (30°16′-30°25′N, 116°59′-117°12′E) is located near Chizhou City, Anhui Province. It is a shallow lake connected to the Yangtze River, covering 33, 300 ha. The lake is an important stopover and wintering ground for migratory waterbirds on the East Asian-Australian flyway (Barter et al. 2004; Zhou et al. 2010; Chen and Zhou 2011). The lake is in a subtropical humid monsoon climate zone, with clearly defined dry and wet seasons, an annual average temperature of 16.5-16.7 ℃ and annual precipitation of 1291.33-1322.23 mm. Affected by rainfall and a reversing river flow, the lake has clear seasonally hydrological fluctuations. Mudflats and meadows are widely exposed during the dry season from November to April with water levels dropping, forming suitable wintering sites for migratory waterbirds (Chen and Zhou 2011; Cong et al. 2011). The exposure of mudflats and meadows change with the water levels in the lakes during winter periods. The dominant hygrophilous plants are Carex tristachya, Potentilla supina, Polygonum hydropipe, Ranunculus polii and Phalaris arundinacea (Liu et al. 2001; Fox et al. 2011). Submerged plants include Potamogeton wrightii, Potamogeton crispus, Vallisneria natans and Ceratophyllum demersum (Wang 1988; Xu et al. 2008; Fox et al. 2011). A recent development is the deterioration and degeneration of lake habitats, as the result of a culture of overfishing. Some waterbirds were forced to turn to neighboring paddy fields to obtain their supplementary food supply (Czech and Parsons 2002; Wood et al. 2010).
The forage habitats of the wintering Hooded Crane are mainly located in the upper area of Shengjin Lake (Fig. 1). Tongxin, Bailian, Shegan and Yang'etou are the main foraging sites, with Dazhou, Xinjun and Chi'an as temporary foraging sites (Zhou et al. 2010; Zhao et al. 2013). In these areas, the cranes have no obvious predators, while the major predation risk comes from human disturbances (Zhou et al. 2010).
Figure
1.
The major foraging sites of wintering Hooded Cranes at Shengjin Lake (2013-2014). The Tongxin, Xinsheng and Bailian sites were the major foraging sites of paddy fields; the Shegan, Yang'etou, Lan daochen and Wangba sites were the major foraging sites of meadow habitats, other habitats were mudflats. The background consists of Landsat 8 TM remote sensing images from 2014; the RGB band combination is 7, 6, 4
Given the prevailing climate features, hydrological fluctuation and wintering activity of the cranes (Wang et al. 2009; Zhou et al. 2009), we defined the period from early November to late December as the early wintering stage; the period from early January to late February of the following year as the middle of the wintering period and the period from early March to the time when the cranes fly away as the late stage of the wintering period (Zhou et al. 2010). We identified individual cranes in a flock within a distance of 30 m (Wang et al. 2011; Xu et al. 2013). Furthermore, we distinguished family group cranes and flock group cranes according to the different composition of the flocks (Avilés 2003; Liu et al. 2008; Zhou et al. 2009). Family flocks consisted of no more than four individuals, i.e., two adult cranes with 0-2 juveniles. Flock group cranes consisted of more than one family occurring within 30 m of each other and included at least five cranes (Xu et al. 2013).
Habitat survey
We conducted field investigations from November 2013 to April 2014 and discovered the major foraging spots of the wintering Hooded Cranes. We used sampling methods to conduct investigations on habitat factors. Within a 100 m range of the foraging activities of cranes, we established 10 m×10 m quadrats, centered by GPS (eTrex30, Garmin, China) and at each of the four corners we set up 0.5 m×0.5 m sub-quadrats (Ma et al. 2003). We collected information on abundance of food resources and intensity of disturbances. During the three over-wintering periods, 258 quadrat samples were collected, of which 30, 25 and 30 in meadows, 32, 29 and 30 in paddy fields and 29, 23 and 30, in mudflats from the early, middle to late wintering stage, respectively.
We collected food from within 15 cm of the foraging subsurface, i.e., the approximate length of the bill of the Hooded Crane (Wang 1988). The roots of aquatic vegetation, the entrails of mollusks and rice grains were collected. After cleaning and sorting, we dried these food items at 65 ℃ in an oven (YHG-9050A; Derip, Suzhou, China) to a constant weight (g) to obtain their food abundance (biomass in g·m-2). According to the frequency and distance of disturbances observed during the survey, we divided the intensity of disturbances into three grades (Jiang et al. 2007). Finally, we defined the few passers-by, livestock and boats within a distance of 200-500 m to the crane flocks as a low degree of disturbance. Passers-by, vehicles and powerboats within a distance of 100 to 200 m were defined as a medium degree of disturbance and disturbances within a distance of 100 m were regarded as a high degree of disturbance.
Flock survey
We chose appropriate spots to observe the foraging activities of the cranes with the monocular telescope (SWAROVSKI 20-60*85) and the binoculars (BOSMA 8*42). When flocks were stable and individual cranes became visible, we started to collect foraging flock data by instantaneous scan sampling at intervals of 5 min from 7:00 to 18:00 (Altmann 1974; Azevedo et al. 2010; Zhou et al. 2010).
We recorded the variables of flocks, such as the crane number, size, age composition and the type of foraging habitat. We used a direct-counting method to record the number of flocks, as well as the number of individual cranes in each flocks and distinguished the juveniles from adults by body size, head and neck color (Zhou et al. 2010). When the size of a flock changed or a flock of cranes flew away, we abandoned our observations and eliminated the collected data if the effective observation time was less than 30 min. We postponed observation to avoid the effect of extreme weather when we met with strong winds, thick fog or heavy snow (Zhou et al. 2009; Xu et al. 2013). During the entire wintering period we investigated 276 flocks, of which 29, 20 and 63 were in meadows; 54, 45 and 11 in paddy fields and 22, 25 and 7, in mudflats during the early, middle and late wintering stages.
Data analysis
Combining the distribution of crane sites from GPS and the Minimum Convex Polygon Method, we obtained the distribution data of the foraging habitats (Terence et al. 2004) (Fig. 2). We studied the responses of foraging flock of cranes to the change of food abundance and disturbances by analyzing their foraging distribution at the three phases of the wintering period. We used the ratio of the relative number of individual cranes and flocks in a given habitat to the total number of individual cranes and flocks in all habitats to represent the foraging distribution of the cranes in that particular habitat (Zhao et al. 2013) and defined the ratio of the number of juveniles in a flock to the number of adults in the same flock as the age composition of the flock.
Figure
2.
Foraging flock distribution of wintering Hooded Cranes at Shengjin Lake. a The early stage of wintering period. b The middle stage of wintering period. c The late stage of wintering period
The data of food abundance, disturbances, flock size and age composition were tested for normality by using the one-sample Kolmogorov-Smirnov test. If the data followed a normal distribution we analyzed them in a one-way ANOVA or a t-test; if the data did not follow a normal distribution we used the non-parametric of Kruskal-Wallis H tests and the Mann-Whitney U tests. In addition, the effect of food abundance and disturbances on the foraging flock was analyzed with a generalized linear model. All analyses were conducted with the SPSS 18.0 statistical package (SPSS, Chicago, IL, USA). A significance level of 0.05 (p) was used for all statistical tests, with means stated as mean±SD.
Results
Composition and distribution of foraging flocks
In the early wintering period, individual cranes in the paddy fields accounted for 60.8 % of the total number of cranes and their flocks for 51.43 % of the total number of flocks; in the meadows these accounted for 28.8 % and 27.62 %, in the mudflats for 10.4 % and 20.95 %, respectively (Table 1). During the middle stage, the number of cranes in the paddy fields increased and accounted for 70.8 % of the total number of cranes and 50 % of the total number of flocks; in the meadows their numbers accounted for 15 % and 22.22 %, in the mudflats for 14.2 % and 27.8 %, respectively (Table 1). In the late period, the number of cranes in the meadows accounted for up to 85.1 % of the total and for flocks to 77.78 % of the total, but in the paddy fields for only 4.5 % and 13.58 %, in the mudflats for 10.4 % and 8.64 %, respectively (Table 1). The distribution of families of cranes and groups of cranes also varied over the three wintering stages (Fig. 2). Group cranes in the early stage accounted for 60.95 % and family cranes for 39.05 %. Both family and group cranes in the paddy fields accounted for the highest percentage, reaching 20.95 % and 30.48 % respectively (Fig. 2a). The percentage of group cranes increased to 78.89 % in the middle stage while family cranes only accounted for 21.11 %. The paddy fields still had the highest percentages of the total number of family cranes, i.e., 12.22 % and group cranes with 37.78 % (Fig. 2b). The percentage of family cranes rose to 37.04 % in the late winter period, while the group cranes accounted for 62.96 %. At this stage, meadows contained the largest number of both family and group cranes, 27.16 % and 50.62 %, respectively (Fig. 2c).
Table
1.
Composition and distribution of Hooded Cranes in three habitats
Period
Habitat
Proportion of individual cranes (%)
Proportion of flocks (%)
Total
Family cranes
Group cranes
Early stage
Paddy fields
60.8
51.43
20.95
30.48
Meadows
28.8
27.62
10.48
17.14
Mudflats
10.4
20.98
7.62
13.33
Late stage
Paddy fields
70.8
50
12.22
37.78
Meadows
15
22.22
3.33
18.89
Mudflats
14.2
27.8
5.56
22.22
Middle stage
Paddy fields
4.5
13.58
7.41
6.17
Meadows
85.1
77.78
27.16
50.62
Mudflats
10.4
8.64
2.47
6.17
The composition and distribution of Hooded Cranes are represented by the proportion of the number of individual birds and flocks of cranes at three habitats during the winter periods
Spatial and temporal variations of foraging flocks
There are significant differences in sizes of foraging flocks among the various habitats (F2, 273 = 5.797, p = 0.003). The flocks in the paddy fields (33.40±41.60, n = 110) are markedly larger than those in the meadows (23.11±30.43, n = 112) and the mudflats (15.41±16.54, n = 54). There is no significant difference in the age composition of cranes between the three types of habitats (F2, 273 = 0.836, p = 0.434). As well, the size and the age composition of flocks did not change significantly with the change in the winter periods (p > 0.05).
During the wintering periods we investigated 90 flocks of family cranes and 186 flocks of group cranes. Although there were significant differences in flock sizes among foraging habitats (F2, 273 = 5.797, p = 0.003), the effect of foraging habitat on the flock of family cranes and group cranes varied as well. The size of the group cranes flock were significantly affected by habitat (F2, 183 = 9.868, p = 0.000). The flocks of group cranes in the paddy fields (50.286±43.97, n = 76) were larger than those in the meadows (32.447±33.1, n = 71) and those in the mudflats (25.37±26.91, n = 39). However, the flock size of family cranes did not appear to be significantly affected by habitat (F2, 87 = 0.422, p = 0. 657).
The age composition of the flocks of family group cranes showed a considerable difference from that of the flock group cranes (F1, 274 = 160.274, p = 0.000). The age composition of family groups (0.711±0.306, n = 90) was larger than that of flock groups (0.321±0.200, n = 186), but there was no significant difference in the age composition of the over-wintering foraging flocks among the habitats (F2, 273 = 0.836, p = 0.434).
Relationships between food abundance, disturbances and the pattern of foraging flocks
Food abundance and disturbances in the three habitats showed significant differences (F2, 255 = 179.11, p = 0.00; F2, 256 = 144.49, p = 0.00). Food abundance in the meadows (96.37±57.88 g·m-2, n = 85) was notably higher than that in the paddy fields (17.33±14.45 g·m-2, n = 91) and mudflats (3.86±4.20 g·m-2, n = 82), while the intensity of disturbances in the paddy fields (2.39±0.72, n = 105) was higher than that in the meadows (1.32±0.52, n = 84) and mudflats (0.89±0.51, n = 69). Food abundance and disturbances in the meadows did not change significantly with the change in the wintering periods (F2, 82 = 2.59, p = 0.08; F2, 81 = 2.75, p = 0.07). But these two conditions in the paddy fields changed significantly with the change of the wintering periods (F2, 88 = 29.27, p = 0.00; F2, 103 = 18.03, p = 0.00). A significant difference in food sources could be observed in the mudflats (F2, 79 = 3.40, p = 0.04), but not in disturbances (F2, 66 = 2.60, p = 0.08).
The results of the generalized linear model showed that food abundance and disturbances had different effects on the pattern of foraging flocks during the winter periods, while the effect of the size of the foraging flock was significant only at the middle stage. The age composition of flocks was markedly affected by food abundance during the early and late stages (Table 2). The effect of food abundance and disturbances over all stages was mainly embodied in the size of the flocks. The age composition of flocks was considerably effected by food abundance but not by disturbances (Table 2). Moreover, the combined action of food abundance and disturbances had a significant effect on the size of the foraging flock, but had no effect on the age composition of foraging flocks (Table 2).
Table
2.
The effect of food abundance and disturbances on the flock patterns of the Hooded Crane
Temporal and spatial characteristics of foraging flocks
Birds flocking to forage is an adaptive strategy to guarantee survival and improve fitness (Beauchamp 2012). According to the optimal foraging theory, birds keep adjusting foraging strategies to fit the variation in food abundance and disturbances in different habitats (Brown and Kotler 2004; Macdonald et al. 2012). To obtain sufficient food and energy, the Hooded Crane selects flexible flock patterns and foraging distributions in order to adapt to changes in foraging habitats during the winter periods. Our research shows that the flock size of cranes showed clear changes in the three habitats, but changes in age composition were statistically not significant.
The Hooded Cranes arrive at their wintering grounds in succession after a long migration distances during the early stage. In order to avoid competition and to obtain food for a quick recovery, foraging flocks disperse and settle down in the various habitats. Paddy fields and meadows become major foraging habitats because the mudflats were less exposed (Zhao et al. 2013). Foraging flocks were found mainly in paddy fields, which may be explained by greater abundance of available food sources and the fact that rice grains form a high-nutrition diet (Bishop and Li, 2002; Cai et al. 2014). But the intensity of disturbance was higher in the paddy fields. Both the number and the size of the foraging flocks were much larger than those in the meadows and mudflats. During the middle stage, food consumption by cranes increases when adverse weather conditions prevail (Yasué et al. 2003). Vegetation dormancy exacerbates the shortage of available food sources (Bishop and Li 2002). Still, the paddy fields remained the major foraging habitats. At this time, family flocks gradually assembled into the larger groups for cooperation in foraging (Zhou et al. 2010). The percentage of family groups decreased gradually and both the number and the size of flock groups rose markedly. Given the gradual reduction in food abundance on the paddy fields and the start of busy spring planting activities, paddy fields could no longer meet the food and safety demands of the foragers (Brown and Kotler 2004; Heithaus 2005; Santangeli and Dolman 2011). Therefore, the foraging flocks gradually concentrated on the meadows with less disturbance and richer food sources and managed to accumulate the energy necessary for returning to their breeding grounds.
The effects of food abundance and disturbances on flock patterns
Various studies have shown that food resources and disturbances are crucial factors that affect avian foraging flocks (Ma et al. 2003; Gyimesi et al. 2012; Baschuk et al. 2012) and our investigation supports this view. Variation in food abundance and disturbances in habitats had different effects on the foraging flocks of the Hooded Cranes during the winter periods, when flock sizes changed dramatically, similar to study research results about the foraging flocks of many other birds (Heithaus 2005; Severcan and Yamac 2011; Fuller et al. 2013). With abundant food and highly intensive disturbances, the flocks were concentrated and their size increased for cooperation in foraging. To avoid competition and maximize foraging benefits, flocks were dispersed and flock size would reduce with rich food and low disturbance.
Food abundance and disturbances in foraging habitats have slight effect on age composition, while the effect of food abundance was remarkable during the early and late stages. The age composition of cranes in flock groups was notably different from that of cranes in family flocks, which may be related to parental care and the characteristics of the habitat (Nystrand 2006; Avilés and Bednekoff 2007; Xu et al. 2013). Juveniles lack foraging experience and their foraging is inefficient (Avilés and Bednekoff 2007). They foraged with their parents. In order to guarantee their own survival and to take care of their offspring, the family group cranes prefer habitats with little disturbance and competition for resources (Alonso et al. 2004; Nystrand 2006).
Conclusions
Food abundance and disturbances in their foraging habitats affected the size and structure of foraging flocks of the Hooded Cranes during the winter periods. Changes in flock size were significant, given that the cranes responded to the degradation and loss of the wetland ecosystem. The size of flocks increased in the case of rich foods, despite disturbances in their foraging habitats, while the size of flocks was relatively reduced with the rich food and low disturbance. By trading off risks and costs, the cranes had flexible flock distributions and a variety of foraging habitats to maximize their benefits. The cranes continuously adjusted flock size to adapt to the changes in foraging habitats, of importance in improving their fitness.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
LY and LZ conceived and designed the experiments. LY performed the experiments and LY and LZ analyzed the data. LZ contributed the reagents/ materials/analysis tools. LY and LZ wrote the paper while LZ liaised with nature reserve authorities and obtained provincial guidance for field work. YW participated in the field work. All authors read and approved the final version of the manuscript.
Acknowledgments
The work was supported by the staff of the Shengjin Lake National Nature Reserve. We express appreciation to the National Natural Science Foundation of China (Grant no. 31172117, 31472020) and the Graduate Student Innovation Research Projects of Anhui University (YQH100270) for financial support. We thank Meng Zheng and Dr. Chunlin Li for their helpful comments and suggestions for this study.
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Catalog
Jochen Martens
5.
Institut für Zoologie, Johannes Gutenberg-Universität, 55099 Mainz, Germany
Table
1.
Composition and distribution of Hooded Cranes in three habitats
Period
Habitat
Proportion of individual cranes (%)
Proportion of flocks (%)
Total
Family cranes
Group cranes
Early stage
Paddy fields
60.8
51.43
20.95
30.48
Meadows
28.8
27.62
10.48
17.14
Mudflats
10.4
20.98
7.62
13.33
Late stage
Paddy fields
70.8
50
12.22
37.78
Meadows
15
22.22
3.33
18.89
Mudflats
14.2
27.8
5.56
22.22
Middle stage
Paddy fields
4.5
13.58
7.41
6.17
Meadows
85.1
77.78
27.16
50.62
Mudflats
10.4
8.64
2.47
6.17
The composition and distribution of Hooded Cranes are represented by the proportion of the number of individual birds and flocks of cranes at three habitats during the winter periods
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