Ling Yang, Lizhi Zhou, Yunwei Song. 2015: The effects of food abundance and disturbance on foraging flock patterns of the wintering Hooded Crane (Grus monacha). Avian Research, 6(1): 15. DOI: 10.1186/s40657-015-0024-z
Citation: Ling Yang, Lizhi Zhou, Yunwei Song. 2015: The effects of food abundance and disturbance on foraging flock patterns of the wintering Hooded Crane (Grus monacha). Avian Research, 6(1): 15. DOI: 10.1186/s40657-015-0024-z

The effects of food abundance and disturbance on foraging flock patterns of the wintering Hooded Crane (Grus monacha)

More Information
  • Corresponding author:

    Lizhi Zhou, zhoulz@ahu.edu.cn

  • Received Date: 01 Mar 2015
  • Accepted Date: 01 Jun 2015
  • Available Online: 24 Apr 2022
  • Published Date: 11 Aug 2015
  • Background 

    Food abundance and availability affect flock patterns of foraging birds. Cost and risk tradeoffs are especially critical for flocks of wintering waterbirds foraging in lake wetlands. Waterbirds losing suitable habitats face insufficient food supplies and high levels of disturbance, affecting their foraging activities. Our Objective was to study the effects of food abundance and disturbances on flock size and the structure of Hooded Crane flocks wintering at Shengjin Lake and, as well, to understand the response of wintering waterbirds to habitat degradation for future management decisions and protection of the population.

    Methods 

    We investigated food abundance, disturbances and flock foraging activities of the wintering Hooded Crane in several foraging habitats of Shengjin Lake from November 2013 to April 2014. Flock size and structure were observed by scan sampling. Data on food abundance and disturbances were collected by sampling. Flock size and structure were compared among three wintering stages. The relationship between food resources, disturbances and flock size were illustrated using a generalized linear model.

    Results 

    In the early and middle wintering periods, the Hooded Crane used paddy fields as its major foraging habitat, where the number of foraging birds and flocks were the highest. During the late period, the cranes took to meadows as their major foraging habitat. The variation among foraging flock was mainly embodied in the size of the flocks, while the age composition of these flocks did not change perceptibly. Family flocks were notably different from flock groups in size and age composition. The Results of a generalized linear model showed that the food abundance had a marked effect on foraging flock size and age composition, while disturbances had a significant effect only on flock size. From our analysis, it appeared that the combined effect of the two variables was significant on the size of the foraging flock, but had less impact on age composition.

    Conclusions 

    Food abundance and disturbances affected the flock size of the Hooded Crane. With abundant food and high disturbances, flock sizes increased owing to cooperation in foraging. To avoid competition and maximize foraging benefits, flock size reduces with an abundance of food but low disturbance. By trading off risks and costs, the cranes showed flexible flock distributions and a variety of foraging strategies to maximize benefits and to improve their fitness.

  • Most signals are thought to be reliable based on the underlying logic that receivers only respond to signals that are sufficiently reliable (; ). If a signal is always unreliable, the receivers would ignore that signal. Thus, the signaling systems would not exist at all. When the signaler's and receiver's interests are opposed (e.g., in male-male competition for resources), there are two main explanations for the reliability of signals. First, some signals are reliable because those signals are forced to be honest due to physiological or anatomical constraints on signal production (). For example, the dominant frequencies of calls used in male-male conflict in some frogs belongs in this category; the frequency is determined by the size of the vocal apparatus, which is determined by body size, and the dominant frequency is thus constrained to reflect reliable information about body size (, ). A performance constraint on the trilled vocalizations in Emberizidae is an additional example: maximal values of frequency bandwidth and trill rates are limited by motor constraint (, ). The second explanation for signal reliability is based on costs. Costs that stem from signaling can prevent deceit if the signaler's fitness is decreased due to cheating (). Birds often use vocal signals in territorial disputes, and the vocal signal used here might be associated with escalated contests (). If a weak individual cannot bear an escalated contest, reliable vocal signals could guarantee the cost of a conceivable escalated contest (; ).

    Although signals are often honest, unreliable signaling can exist in signaling systems (; ). Unreliable signaling can be defined by departures from the typical correlation between the signal and an attribute of the signaler (). For example, If signal a is typically correlated with action A, unreliable signaling occurs when an individual signals a but does not perform A (i.e., over-signaling) or does not signal a but does perform A (i.e., under-signaling). Depending on the value of the contested resource and the expected cost of an escalated contest for the signaler, models predict that unreliable signaling can be a useful strategy for some individuals or in some context (; ). For example, although song type matching (i.e., singing to the rival with the same song that the rival has just sung) has long be seen as an aggressive signal in song sparrows during male-male conflict (), this signal can reflect the signaler's expectation of an escalated contest in the initial of territory conflict but fail to predict direct attack (; ). Because the reliability of a signal is context dependent, testing the signal in different contexts might aid the understanding of both the function of the signal and the evolution of the signaling system.

    Soft song is characterized by markedly lower amplitudes than normal song (here termed broadcast song) and has long been observed in many birds (; ). Recent studies have confirmed that soft song is an aggressive signal; soft song can predict aggressive escalation in both passerine (; ; ; ) and non-passerine birds (). Additionally, playback experiments with mounted specimens have shown that soft song is a reliable aggressive signal in male-male conflict (; ; ). In a previous study, we found that the relationship between soft song production and subsequent attack is significant in the Brownish-flanked Bush Warbler Cettia fortipes (). Here, we examined the correlation between soft song production and subsequent attack in different male-male conflict contexts in this species.

    The brownish-flanked bush warbler is a small, furtive passerine found throughout Southeast Asia. During the breeding season, the males sing clear, high-pitched broadcast songs from dense undergrowth (; ). The males have a small repertoire of broadcast songs (typically two or three songs) and always sing the broadcast song types in alternating patterns (e.g., a-b-a-b; ). Compared to broadcast song, soft song in this species is characterized by lower amplitude, a significantly lower minimum frequency, more notes, a longer duration, and a higher note rate (Xia et al. ). Thus, soft song is easily distinguished from broadcast song in the field. Based on our observations, broadcast song is always used in spontaneous singing and after expelling an intruder, while soft song is used during encounters between rival males. In a previous playback study (Xia et al. ), we used mounted specimens positioned within the territory of subject males and conducted playback trails of broadcast songs and found that six of 25 territorial owners attacked the mounted specimen, and all attacking subjects generated soft songs immediately prior to the attacks. However, the context of the playback experiment of is uncommon in the field because in contrast to broadcast song, soft song was always produced by the intruder when in close contact with the territory owner. The first aim of this study was to investigate whether soft song and subsequent attack are correlated in the territorial owner when the intruder produces soft song. The context of this study is more similar to that of the field when the territory owner closely encounters the intruder. Thus, this context can provide additional information about the function of soft song for birds.

    The second aim of this study was to investigate the cost of soft song in the Brownish-flanked Bush Warbler. For signals with no obvious physiological or anatomical constraints, cost should be the most probable explanation for the stability of the signaling system (; ). A previous study showed that soft song can induce male brownish-flanked bush warbler to spend significantly more time near the loudspeaker (). We hypothesized that closeness is a cost to the signaler in the experiment detailed by based on the underlying logic that increasing closeness increases the possibility of attack. However, this underlying logic has not been verified in this species. In the present study, we show direct evidence of cost to the soft song signaler; i.e., soft songs induced more attacks.

    During May 2013 we conducted experiments on a population of brownish-flanked bush warblers in the Dongzhai National Nature Reserve in the Henan province of southern China (31.9°N, 114.3°E). The males in this population have been monitored, color-banded and recorded as a part of a long-term study since 2007. Brownish-flanked bush warblers defend territories from March to July. Most of the territories are characterized by dense bushes that are dominated by Camellia sinensis tea plants; thus, the territory boundaries are typically well defined by the habitat.

    The songs used in the playback experiments were recorded using a TASCAM HD-P2 portable digital recorder (Tascam Co., Japan) and a Sennheiser MKH416P48 external directional microphone (Sennheiser Co., Germany) at a sampling rate of 44.1 kHz and a sample size of 16 bits. For the playback trials, we randomly selected five broadcast songs that were recorded from five different males during the 2011 breeding season and five soft songs that were randomly selected from five different males recorded during the 2012 breeding season. We used Goldwave 5.25 (GoldWave Inc., Canada) to adjust the broadcast song rate to one song every 10 s, which is similar to the song rate of this species. For the soft songs, we repeated the recordings to achieve a total time of 3 min because the majority of the soft song recordings were shorter than 3 min. Using a CEL-240 sound level meter (Casella Co., USA), the speaker volume for the playback trials of the broadcast and soft songs were adjusted to 80 dB and 60 dB, respectively, at a distance of 1 m above the speaker. This amplitude approximates the natural amplitude of song in the field as evaluated by ear by observers. In total, we used ten unique 3-min playback stimuli that included five broadcast songs and five soft songs. Similar playback stimuli have been used in a previous playback study of the species (see ).

    We used mounted specimens of four male brownish-flanked bush warblers obtained with permission from the Museum of Beijing Normal University, and we randomly selected one for each subject male. Prior to each playback trial, we located each subject male by its spontaneous singing behavior. We positioned a single mounted specimen on the ground concealed under bushes within the territory of each subject male at approximately 10 m from the singing spot. The specimens were always placed away from the territorial boundary to decrease the effects on neighbors. Playback was conducted using uncompressed.wav files stored on a TeclastX18Mp3 player (Teclast Co., Shenzhen, China) connected to a Senway loudspeaker (Senway Amplifier Co., Shenzhen, China). The loudspeaker was placed next to the mounted specimen and concealed with grass or dead leaves.

    There were 51 subject males used in this study. Each subject male was exposed to one playback trial. The type of playback (either broadcast or soft song playback) was determined by a coin toss for the first subject and was then alternated between broadcast song and soft song for the subsequent subject males. The specific broadcast or soft song playback stimuli were randomly selected for each subject male. Most of the males in this population have been color-banded, which allowed us to ensure that the playback stimuli were not recorded from the subject male or its immediate neighbors. Two observers, positioned approximately 10 m away from the mounted specimen, recorded the behavioral responses of the subject males. We stopped playback if the subject male began to physically attack the mounted specimen. Otherwise, the experiment continued for the 3 min duration. If a subject male did not appear within 3 m during the 3 min playback, we abandoned the trial because we could not be sure that the subject male had seen the mounted specimen. If the 3 m criterion was met, we recorded the attack latency, which was defined as the time from which the male first appeared within 3 m of the mounted specimen to attack (defined as any physical contact with the mount specimens). Due to difficulties in observing some behaviors (e.g., wing quivering) in the dense vegetation of the birds' habitat, we only recorded whether soft song was produced for each subject male. Because most attack latencies were < 10 s in our previous study (), we were only concerned with signals that occurred within 10 s prior to the attack. For those subjects that did not attack, we focused on the signals in the last 10 s within 3 m of the mounted specimens during 3 min playback. We obtained data from 51 subjects that included 26 subjects in the broadcast songs playback group and 25 subjects in the soft songs playback group.

    We used Fisher's exact test to compare the numbers of attacks by the subject males between the broadcast song playback group and the soft song playback group. After we removed the data for the subject males that did not attack the mount specimen, a t test was used to compare the attack latency between the broadcast song playback group and soft song playback group. To test the relationship between soft song and subsequent attack, we used Fisher's exact tests for the broadcast song playback group and the soft song playback group, respectively.

    All data are expressed as the mean ± the SE, and differences were considered significant at P < 0.05. The data were analyzed using SPSS v.20 (IBM Co., New York, NY, USA). Permission for this study was granted by the National Bird-banding Center of China (license number H20110042) and the Dongzai National Nature Reserve (license number 2011002).

    The relationship between soft song and subsequent attack was significant in the broadcast song playback group (Fisher exact test, P = 0.046) but not in the soft song playback group (Fisher exact test, P = 0.202; Table 1). Both under-signaling and over-signaling subject males were observed. In broadcast song playback group, 15.4% subject males attacked without producing soft song (under-signaling) and 11.5% subject males produced soft song but did not attack (over-signaling); in soft song playback group, 28.0% subject males attacked without producing soft song (under-signaling) and 8.0% subject males produced soft song but did not attack (over-signaling) (Table 1).

    Table  1.  Number of subject males to 3 min of playback of broadcast or soft songs
    Responses Playback broadcast songs Playback soft songs
    Attack on specimen Produced soft songs 6 11
    No soft song 4 7
    No attack Produced soft songs 3 2
    No soft song 13 5
     | Show Table
    DownLoad: CSV

    The soft song playback group evoked significantly more attacks than did the broadcast song playback group (Fisher exact test, P = 0.025; Table 1), and the attack latency was significantly shorter in the soft song playback group (23.2 ± 7.9 s) than in the broadcast song playback group (59.9 ± 16.7 s; t test, t26 = 2.252, P = 0.033; Figure 1).

    Figure 1. Attack latency (mean ± SE) of the subject males in the playback experiment.
    Figure  1.  Attack latency (mean ± SE) of the subject males in the playback experiment.
    Attack latency was defined as the time between the first appearance of the subject male within 3 m of the mounted specimens and the time of physical contact with the mount specimen. The attack latency was significantly shorter in soft songs playback group than in the broadcast song playback group (t test, t26 = 2.252, P = 0.033).

    Although the signal must be sufficiently reliable to maintain a stable signaling system, there is room for cheating as a strategy for some individuals or in some context (; ). In this study, we found that the correlation of the subject males' soft songs and subsequent attacks was significant in the broadcast song playback group but not in the soft song playback group. The reliability of an aggressive signal requires a correlation between the signal and an escalation toward physical fighting on the part of the signaler (; ). Our data show that there was less reliability in the soft song playback group.

    Can the subject males benefit from the unreliable signaling? There were two males in the broadcast song playback group and three males in the soft song playback group that produced soft song but did not attack the intruder (i.e., the mounted specimen). The potential benefit of this over-signaling is intimidation of the intruder that could cause the intruder to concede (; ). Comparison of the attack rates of the soft song playback group (72.0%) and the broadcast song playback group (38.5%) indicates that soft songs from the intruder (mounted specimen) did not cause more territory owners to concede. However, we should note the asymmetry between the intruder and the territory owner (). Territory is always more valuable for the territory owner, thus it is not easy for the territory owner to be intimidated by the soft song of an intruder. Whether over-signaling benefits the territory owner remains an open question because the intruder (mounted specimen) could not retreat in our experiment. There were four males in the broadcast song playback group and seven males in soft song playback group that did attack the intruder (mounted specimen) but did not produce soft song. We believe that the potential benefit acquired by these under-signaling subject males was gaining the initiative in fighting. Based on this hypothesis, we infer that under-signaling might occur more often when a fight is inevitable. Our data support this inference; more under-signaling subject males were observed in the soft song playback group (28.0%) than in the broadcast song playback group (15.4%). In the future, we will demonstrate that initiating attack is beneficial in fights, and we will then fully understand the benefit acquired by the under-signaling subject males.

    Limited reliability for soft song is also found in other species, i.e. attack was not correctly predicted in about one third of the Song Sparrow Melospiza melodia males (). Similarly, under-signaling is more common than over-signaling (; ). As how responses to intrusion may rely on attributes of responding animals themselves (), high quality individuals may adopt under-signaling strategy without bothering to waste time in signaling (). To test this hypothesis, fighting ability or/and aggressive intentions will be compared between under-signaling males and other males in future work.

    Cost is crucial for the maintenance of aggressive signaling systems (; ). If there is no cost for aggressive signaling, it is advantageous for individuals produce the maximal levels such signals during conflicts. If all individuals signal maximally, it will be difficult for the receivers to judge the signaler's aggressive intentions based on the information contained in that signal. Thus, the receivers would ignore the signal, and the signaling system could not exist.

    Among several potential cost concern soft song (summarized in ; ), receiver-retaliation cost get most support (; ; ; ). Receiver-retaliation cost posits that soft song increases the likelihood of the receiver retaliating aggressively. In a previous study, we found that soft song induces subject males to spend more time near the sound source (i.e., loudspeaker; ) and inferred that being closer might indicate an increased possibility of attack. Recent studies have found that some behaviors that were previously thought to reflect attack intent are not actually correlated with attack (; ; ). Thus, it is insufficient to assume that the closeness of the receiver is a cost of to the soft song signaler (; ). The present study showed that when soft song was played back, more subject males conducted attacks of the mounted specimen with shorter attack latencies. The greater number of subject males attacking on mounted specimen indicates greater harm due to fighting to the signaler, and the shorter attack latency indicates that the signaler had less time for retreat. Both these factors provide direct evidence regarding receiver-retaliation cost of soft song; i.e., signalers that produce soft song put themselves at risk for fighting.

    Besides receiver-retaliation cost (; ; ), there is cost from potential intruder in the song sparrow: as soft songs are low in amplitude, a potential intruder might fail to hear a male who uses soft song in conflict and thus be more likely to intrude on the soft song signaler's territory (). As increasing evidence indicates that territorial conflicts can be eavesdropped on by other potential rivals (; ), future work should test whether brownish-flanked bush warbler soft song signalers experience a greater number of intrusions.

    In this work, we showed the receiver-dependent costs entailed by the soft song of the Brownish-flanked Bush Warbler; i.e., the signaler that produces soft song suffer more and quicker attacks from the receiver. We observed both over-signaling and under-signaling male Brownish-flanked Bush Warblers. In simulated intrusion that coupled playback of soft song with a mount specimen, a greater number of territory owner directly attacked without producing soft song (under-signaling). We suggest that such under-signaling males might benefit from taking the initiative in fights.

    The authors declare that they have no competing interests.

    This study was supported by National Natural Science Foundation of China (No.31172098) and the China Postdoctoral Science Foundation (No.2014 M550026). We would like to thank Jiayu LIU for her help on field work.

    YYZ and CWX conceived and designed the experiments. CWX, DPW, BYL performed the experiments. CWX analyzed the data. YYZ, CWX, HL wrote or revise the manuscript. All authors read and approved the final manuscript.

  • Abramsky Z, Strauss E, Subach A, Kotler BP, Reichman A. 1996. The effect of barn owls (Tyto alba) on the activity and microhabitat selection of Gerbillus allenbyi and G. pyramidum. Oecologia, 105(3):313-319
    Alonso JC, Bautista LM, Alonso JA. 2004. Family-based territoriality vs flocking in wintering Common Cranes (Grus grus). J Avian Biol, 35(5):434-444
    Altmann J. 1974. Observational study of behavior: sampling methods. Behaviour, 49(3):227-267
    Avilés JM. 2003. Time budget and habitat use of the Common Crane wintering in Dehesas of southwestern Spain. Can J Zool, 81(7):1233-1238
    Avilés JM, Bednekoff PA. 2007. How do vigilance and feeding by common cranes Grus grus depend on age, habitat, and flock size? Avian Biol, 38(6):690-697
    Azevedo CS, Ferraz JB, Tinoco HP, Young RJ, Rodrigues M. 2010. Time-activity budget of greater rheas (Rhea americana, Aves) on a human-disturbed area: the role of habitat, time of the day, season and group size. Acta Ethol, 13(2):109-117
    Bahr DB, Bekoff M. 1999. Predicting flock vigilance from simple passerine interactions: modelling with cellular automata. Anim Behav, 58:831-839
    Barta Z, Liker A, Mónus F. 2004. The effects of predation risk on the use of social foraging tactics. Anim Behav, 67:301-308
    Barter M, Chen LW, Cao L, Lei G. 2004. Waterbird Survey of the Middle and Lower Yangtze River Floodplain in Late January and Early February 2004. China Forestry Publishing House, Beijing
    Baschuk MS, Koper N, Wrubleski DA, Goldsborough G. 2012. Effects of water depth, cover and food resources on habitat use of marsh birds and waterfowl in boreal wetlands of Manitoba, Canada. Waterbirds, 35(1):44-55
    Beauchamp G. 2005. Does group foraging promote efficient exploitation of resources? Oikos, 111(2):403-407
    Beauchamp G. 2009. How does food density influence vigilance in birds and mammals? Anim Behav, 78:223-231
    Beauchamp G. 2012. Foraging speed in staging flocks of semipalmated sandpipers: evidence for scramble competition. Oecologia, 169(4):975-980
    Beauchamp G. 2013. Social foragers adopt a riskier foraging mode in the centre of their groups. Biol Lett, 9(6):1-3
    Bekoff M. 1995. Vigilance, flock size, and flock geometry: information gathering by western evening grosbeaks (Aves, Fringillidae). Ethology, 13:150-161
    BirdLife International. 2014. Grus monacha. In: IUCN 2014. The IUCN Red List of Threatened Species. Version 2014.3.,
    Bishop MA, Li FS. 2002. Effects of farming practices in Tibet on wintering Black-necked Crane (Grus nigricollis) diet and food availability. Biodiv Sci, 10(4):393-398
    Brown JS, Kotler BP. 2004. Hazardous duty pay and the foraging cost of predation. Ecol Lett, 7(10):999-1014
    Cai TL, Huettmann F, Guo YM. 2014. Using stochastic gradient boosting to infer stopover habitat selection and distribution of Hooded Cranes Grus monacha during spring migration in Lindian, Northeast China. PLoS One, 9(2):1-12
    Chen JY, Zhou LZ. 2011. Guild structure of wintering waterbird assemblages in shallow lakes along Yangtze River in Anhui Province, China. Acta Ecol Sin, 31(18):5323-5331
    Cong P, Rees EC, Sun MM, Mj Z, Cao L, Barter M. 2011. A comparison of behaviour and habitat use by Bewick's Swans Cygnus columbianus bewickii at wintering sites in China and Europe: preliminary observations. Wildfowl, 61:52-73
    Conradt L. 1998. Measuring the degree of sexual segregation in group-living animals. J Anim Ecol, 67:217-226
    Czech HA, Parsons KC. 2002. Agricultural wetlands and waterbirds: a review. Waterbirds, 25:56-65
    Elgar MA. 1989. Predator vigilance and group size in mammals and birds: a critical review of the empirical evidence. Biol Rev, 64:13-33
    Fox AD, Cao L, Zhang Y, Barter M, Zhao MJ, Meng FJ, Wang SL. 2011. Declines in the tuber-feeding waterbird guild at Shengjin Lake National Nature Reserve, China - a barometer of submerged macrophyte collapse. Aquat Conserve, 21(1):82-91
    Fuller RA, Bearhop S, Metcalfe NB, Piersma T. 2013. The effect of group size on vigilance in Ruddy Turnstones Arenaria interpres varies with foraging habitat. Ibis, 155(2):246-257
    Gyimesi A, Franken MS, Feige N, Nolet BA. 2012. Human disturbance of Bewick's Swans is reflected in giving-up net energy intake rate, but not in giving-up food density. Ibis, 154(4):781-790
    Hansen BB, Aanes R, Herfindal I, Sæther BE, Henriksen S. 2009. Winter habitat-space use in a large arctic herbivore facing contrasting forage abundance. Polar Biol, 32(7):971-984
    Heithaus MR. 2005. Habitat use and group size of pied cormorants (Phalacrocorax varius) in a seagrass ecosystem: possible effects of food abundance and predation risk. Mar Biol, 147(1):27-35
    Heithaus MR, Dill LM. 2002. Food availability and tiger shark predation risk affects bottlenose dolphin habitat use. Ecology, 83:480-491
    Jiang HX, Xu WB, Qian FW, Chu GZ. 2007. Impact of habitat evolvement and human disturbance on wintering water birds in Shengjin Lake of Anhui Province, China. Chin J Appl Ecol, 18(8):1832-1836
    Jing K, Ma ZJ, Li B, Li JH, Chen JK. 2007. Foraging strategies involved in habitat use of shorebirds at the intertidal area of Chongming Dongtan, China. Ecol Res, 22(4):559-570
    Kotler BP, Brown JS, Hasson O. 1991. The specter of predation: factors affecting gerbil foraging behavior and rates of owl predation. Ecology, 72(6):2249-2260
    Kuwae T, Miyoshi E, Sassa S, Watabe Y. 2010. Foraging mode shift in varying environmental conditions by dunlin Calidris alpina. Mar Ecol Prog Ser, 406:281-289
    Li CL, Zhou LZ, Li HK, Jiang ZG. 2011. Effects of foraging mode and group pattern on vigilance behavior in water birds: a case study of mallard and black-winged stilt. Belg J Zool, 141(2):45-54
    Li HC, Ding TS, Tsai CF, Hsu FH. 2012. Effects of habitat type and group size on foraging and vigilance behaviors of the Red Collared Dove Streptopelia tranquebarica. Taiwania, 57(2):99-105
    Lima SL. 1998. Stress and decision making under the risk of predation: recent developments from behavioral, reproductive, and ecological perspectives. Adv Stud Behav, 27:215-290
    Lima SL, Dill LM. 1990. Behavioral decision making under the risk of predation: a review and prospectus. Can J Zool, 68(4):619-640
    Liu ZY, Xu WB, Wang QS, Shi KC, Xu JS, Yu GQ. 2001. Environmental carrying capacity for over-wintering Hooded Cranes in Shengjin Lake. Resour Environ Yangtze Basi, 10(5):454-459
    Liu Q, Yang XJ, Zhu JG, Zhao JL, Yu HZ. 2008. Flock of black-necked crane wintering at Napahai nature reserve, China. Zool Res, 29(5):553-560
    Luo JM, Wang YJ, Yang F, Liu ZJ. 2012. Effects of human disturbance on the Hooded Crane (Grus monacha) at stopover sites in northeastern China. Chinese Birds, 3:206-216
    Ma ZJ, Li B, Jing K, Zhao B, Tang SM, Chen JK. 2003. Effects of tidewater on the feeding ecology of Hooded Crane (Grus monacha) and conservation of their wintering habitats at Chongming Dongtan, China. Ecol Res, 18(3):321-329
    Macdonald EC, Ginn MG, Hamilton DJ. 2012. Variability in foraging behavior and implications for diet breadth among Semipalmated sandpipers staging in the upper bay of Fyndy. Condor, 114(1):135-144
    Masatomi H. 2004. Individual (non-social) behavioral acts of Hooded Cranes (Grus monacha) wintering in Izumi, Japan. J Ethol, 22:69-83
    Michelena P, Deneubourg JL. 2011. How group size affects vigilance dynamics and time allocation patterns: the key role of imitation and tempo. PLoS One, 6(4):1-9
    Nystrand M. 2006. Influence of age, kinship, and large-scale habitat quality on local foraging choices of Siberian Jays. Behav Ecol, 17:503-509
    Santangeli A, Dolman PM. 2011. Density and habitat preferences of male little bustard across contrasting agro-pastoral landscapes in Sardinia (Italy). Eur J Wildl Res, 57(4):805-815
    Severcan Ç, Yamac E. 2011. The effects of flock size and human presence on vigilance and feeding behavior in the Eurasian Coot (Fulica atra) during breeding season. Acta Ethol, 14(1):51-56
    Sirot E, Maes P, Gélinaud G. 2012. Movements and conflicts in a flock of foraging Black-Tailed Godwits (Limosa limosa): the influence of feeding rates on behavioural decisions. Ethology, 118(2):127-134
    Terence PB, Sandra MC, Robert GW. 2004. Landsat TM inventory and assessment of waterbird habitat in the southern altiplano of South America. Wetland Ecol Manage, 12:563-573
    Wang QS. 1988. The Hooded Cranes. Chin J zool, 23(4):30-34
    Wang K, Yang XJ, Zhao JL, Yu HZ, Min L. 2009. Relations of daily activity patterns of age and flock of wintering Black-necked Crane (Grus nigricollis) at Napa Lake, Shangri-La in Yunnan. Zool Res, 30:74-82
    Wang Z, Li ZQ, Beauchamp G, Jiang ZG. 2011. Flock size and human disturbance affect vigilance of endangered red-crowned cranes (Grus japonensis). Biolog Conserv, 144(1):101-105
    Wood C, Qiao Y, Li P, Ding P, Lu BZ, Xi YM. 2010. Implications of rice agriculture for wild birds in China. Waterbirds, 33(1):30-43
    Xu LL, Xu WB, Sun QY, Zhou ZZ, Shen J, Zhao XX. 2008. Flora and vegetation in Shengjin Lake. J Wuhan Bot Res, 27(3):264-270
    Xu F, Ma M, Yang WK, Blank D, Ding P, Zhang T. 2013. Vigilance in Black -Necked Cranes: effects of predation vulnerability and flock size. Wilson J Ornithol, 125(1):208-212
    Yasué M. 2005. The effects of human presence, flock size and prey density on shorebird foraging rates. J Ethol, 23(2):199-204
    Yasué M, Quinn JL, Cresswell W. 2003. Multiple effects of weather on the starvation and predation risk tradeoff in choice of feeding location in redshanks. Funct Ecol, 17:727-736
    Zhao FT, Zhou LZ, Xu WB. 2013. Habitat utilization and resource partitioning of wintering Hooded Cranes and three goose species at Shengjin Lake. Chinese Birds, 4(4):281-290
    Zhou B, Zhou LZ, Chen JY, Xu WB, Cheng YQ. 2009. Assemblage dynamics and territorial behavior of Hooded Cranes wintering in Shengjin Lake. Chin Wildlife, 30(3):133-136
    Zhou B, Zhou LZ, Chen JY, Cheng YQ, Xu WB. 2010. Diurnal time-activity budgets of wintering Hooded Cranes (Grus monacha) in Shengjin Lake, China. Waterbirds, 33(1):110-115
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