- Open Access
Energy state affects exploratory behavior of tree sparrows in a group context under differential food-patch distributions
© The Author(s). 2016
- Received: 17 April 2016
- Accepted: 12 October 2016
- Published: 21 October 2016
When facing a novel situation, animals can retreat or leave to avoid risks, but will miss potential resources and opportunities. Alternatively they may reduce environmental uncertainty by exploration, while risking no energy rewards and exposure to hazards, and use the information retrieved for subsequent decision making. When exploring, however, animals may adopt different tactics according to individual states.
We tested that energy states will affect exploratory behavior by experimenting with wild-caught untrained Eurasian tree sparrows (Passer montanus) in fasted or fed states exploring in a novel space with hidden food supply in different patch distribution patterns. Our data revealed that fasted sparrows risked being earlier explorers more often, initiated more exploratory bouts before patches were found, and stayed longer on the ground under both patch patterns. Fasted sparrows discovered more patches and consumed more food than fed sparrows in dispersed, but not necessary so in clumped, patch patterns; whereas fed birds also increased patch finding to a certain level in dispersed patterns. Sparrows of both energy states, however, did not differ in feeding rates in either patch pattern.
Exploratory behavior of tree sparrows is state-dependent, which supports our prediction that birds with an energy shortage will be risk-prone and explore more readily. Our study also indicates a game nature of tree sparrow exploratory behavior in a group context when explorers are in different energy states and are exposed to different patch distributions. Birds of lower energy state adopting an active exploring tactic may be favored by obtaining higher energy gains in dispersed patch patterns with lower patch richness. More satiated birds, however, achieved a similar feeding rate by lowered exposure time.
- Energy state
- Predation risk
Animals rely on information for decision-making that in turn may contribute to their survival [1, 2]. As conditions change, uncertainties emerge along with novel situations that depart from their previous experience. Animals, thus, must acquire new information to reduce uncertainty and adjust their behavior to better exploit resources and opportunities and avoid hazards [2, 3]. Exploratory behavior involving locomotive and investigatory responses to novel situations helps acquaint animals with surroundings, gain information, and acquire potential knowledge, which can affect fitness [4, 5]. Exploration, thus, has drawn attention of various studies (e.g. [6–11]), and has been identified as one of the major behaviors for coping with variation in different environmental contexts [12–14].
Earlier exploration work has focused on intrinsic drives, often of rodents or primates, which require no additional motivation (e.g., hunger or fear; [15–17]). Yet, in nature the expression of exploratory behavior can reflect not only an animal’s personality, but also may be affected by factors such as physical states (e.g., hunger level), capability (e.g., cognitive ability), and ecological conditions [13, 18]. The general functions of exploration allow animals to sample a broad range of environmental stimuli, including food . This also echoes an earlier notion  that hunger would intensify exploratory behavior and lead animals more readily to leave their depleted home area (e.g., [21–23]). Thus, the effects of energy states on animal exploration are in need of studies to further consider its unneglectable function of food procurement and under different ecological conditions.
An animal engaging in exploration must leave its retreat and investigate the novel situations. In nature this incurs predation risk, in addition to time and energy that otherwise could be used for other activities . A novel space may harbor unknown predators, the time spent exploring increases the exposure to predation, or the chances of escape may be lowered because of unfamiliarity with the surroundings [3, 24, 25]. Mosquitofish (Gambusia holbrooki) in exploring responded to the presence of conspecifics (facilitation) and cues of potential danger (inhibition) . When given a choice, exploring tree sparrows (Passer montanus) preferred to land on a camouflaged rather than a more-exposed white background, suggesting a response to environmental features associated with predation risk . Both cases demonstrate that exploratory behavior may be as much affected by predation risk as foraging . Unlike a foraging scenario where foragers typically or are assumed to trade off risk-associated costs for energy gains with perfect information [28, 29], explorers in a novel environment risk in facing uncertainties of both hazards and energy returns.
While exploring, an animal may evaluate a situation before a behavioral response to be made. Animals that overestimate the quality of an environment can learn its true value faster because of higher exploration rates . On the other hand, those underestimating hazards are predicted to suffer a higher mortality than those overestimating it . When exploring in a social context, however, where two or more individuals can be linked by identifiable mutual relationship , the costs and benefits of a behavioral strategy by any individual may be interdependent on that of others [32, 33]. Hence, when facing a novel environment and lacking information, animals in a group should tend not to be early explorers, so to avoid or reduce potential hazards. Yet as time goes by, starvation risk will rise. Individuals that have lower energy reserves face a higher urgency for energy gains and are expected to value potential rewards more than individuals that are energetically safer , thus should be more risk-prone and readily in exploring.
In social exploration, an animal spending time in enquiring the environment to gain information may become the source of social information of its group mates . This resembles a producer-scrounger game in foraging [32, 36–38], where foragers may search for food, or monitor others for opportunities of joining. Yet, animals may even adjust their tactic use based on learned information associated with different environmental conditions, including the tactics used by conspecifics [39–41]. In exploration while lacking prior information, if animals of low energy state would initiate exploration more readily to enquire a novel environment, they may have no options but adopting a producer tactic, and leaving the more satiated individuals the opportunity to scrounge. The advantage that producers, being earlier feeders, may likely gain more from a food patch than scroungers [38, 42, 43] further suggests the adoption of an active exploring tactic by individuals in a negative energy budget.
We tested the hypothesis that energy states affect exploratory behavior by experimenting with wild-caught birds exploring in a novel situation, and predicted that birds with an energy shortage will more readily and actively engage in exploration. While the value of a novel situation, such as food, is uncertain to individuals before an investigation, the information revealed during exploration may affect animals’ subsequent response and its consequences. To understand how payoffs of explorers of different energy states may be affected under different ecological conditions, we further tested that the difference in payoffs between active and scrounging explorers should depend on the finder’s share, the proportion of food available only to its finder before copiers join in [37, 38, 44]. We predicted that in a novel situation, if food distribution is more dispersed and in lesser quantity, birds of lower energy state adopting the active exploring tactic will be favored by finding more patches and higher energy gains . In contrast, abundant food in a clumped distribution will decrease the difference of energy gains between active explorers and followers, since patch finders can only harvest smaller finder’s shares.
Our study was conducted from November 2008 to January 2009 in Tainan (22°59′N, 120°11′E), Taiwan, and used Eurasian tree sparrows Passer montanus (Linnaeus, 1758) for experiments. They are ground feeders and residents throughout the lowlands of Taiwan, commonly occurring in pastures, crop fields, parks, schools, and populated urban areas, and often form foraging flocks all year round and roost communally in winter .
Sample and experimental preparations
One day before each experimental session, we mist-netted 8~10 adult sparrows at dawn from one of five randomly chosen chicken farms approximately 5 km apart where sparrows foraged freely. After being brought back to the laboratory, sparrows were measured for body mass, tarsus length, color-banded (A. C. Hughes, UK) for identification, and then housed individually in bird cages (41 × 28.5 × 33 cm) in a quiet room exposed to natural light and air but with a minimal human contact. We provided each sparrow ample water and 20 g of commercially available chicken feed comprised of corn meal, millet, and plant fiber. We checked for seed consumption at dusk; sparrows showing normal feeding were randomly assigned to either an experimental or a control group, and any birds showing little or no feeding were excluded from experiments. Sparrows in experimental groups were deprived of food after 1800, while those in control groups were allowed to keep food boxes with chicken feed in their cages overnight.
On the following dawn, we turned on the light at 0600 (daybreak at ca. 0610 to 0630 in winter months) and observed birds from behind a curtain. We typically had more birds in a testable condition than actually needed, so picked individuals for a test by random numbers. While sparrows in an experimental group were fasting, those in a control group were free to feed for at least an hour before an experimental session started at 0700. We assumed food provision or fasting had no or negligible effects on the sparrows’ perception of food availability later in a test, since no any elements from the cages were brought into the test room. Sparrows had no prior experiences of the test room, and we used each bird only once in any experimental session to prevent them from habituating to captivity or learning from repeated testing [45, 46]. All sparrows, including those that were not used for experiments, were later offered chicken feed, hand-fed with meal worms, and then released to their capture sites before dusk. No sparrow, whether used in a test or not, was kept in captivity for more than 36 h, and we followed the guidelines for the treatment of animals in behavioral research  in all procedures.
We provided 50 grains of chicken feed (ca. 1.2 mm in diameter, 5 mm in length) in either a clumped or a dispersed food patch distribution. In the clumped pattern, feed was distributed evenly into two patches that were at least 1 m apart; in the dispersed pattern, we allocated feed to 10 patches, 5 grains each, that were randomly dispersed on the ground and any two patches were at least 60 cm apart center to center. Each patch was fully covered by 5 ml of grey sand of the same color as the ground, so sparrows had to peck sand piles to reveal the food underneath. Ten pots of Syzygium simile (Merr.) seedlings (5 cm in diameter, 15 cm in height) were positioned on the ground. In the dispersed pattern, each pot of S. simile sat 20 cm from a sand patch and carried a numbered card for observer’s reference, whereas in the clumped pattern only two pots of plants sat beside sand patches and the rest were randomly distributed on the ground without a nearby sand patch (Fig. 1).
Each patch distribution pattern was tested for 21 sessions. We picked four sparrows for each session, two from the experimental group that had been deprived of food for about 13 h (indicating a low energy state) and two from the control group that had a full access to food before the experiment (indicating a high energy state). In total, we tested 168 birds encountering 252 patches in 42 sessions. Sparrows were brought to the aviary in cages covered with black cloth and released without human handling by opening the slide door. A session began when sparrows were released into the aviary and ended when (a) all grains were depleted, indicated by all patches fully pecked open and no sparrows feeding for over 5 min, or (b) 30 min after the second clumped food patch or the sixth dispersed food patch was located and visited by sparrows, whichever came first. A session typically lasted less than one hour (clumped: 2806.5 ± 299.2 s; dispersed: 2893.8 ± 259.1 s).
Since tree sparrows are primarily ground feeders and constantly explore on the ground in nature, we emphasized on their locomotive or investigatory behavior on the ground. We recorded each session with three video recorders. One (Sony HDR-SR8, Japan) was mounted on a tri-pod to cover the entire testing ground, and the other two recorders (Sony DCR-SR220, Japan) were manually controlled to focus on patches and individual behavior. The first emergence from cover by birds was recorded. An exploration bout began when a sparrow first landed on the ground and ended when the last bird on the ground took off. A session could contain one (in 3 out of 42 sessions) or more bouts, and not every sparrow joined each bout. The time point when the first sparrow pecked a patch and found a feed was defined as the first patch discovery (FPD); before that, sparrows on the ground devoted time in general space exploration, whereas after that sparrows on the ground spent time exploring as well as feeding at patches. Bout initiation (BI) occurred both before and after FPD, so we counted the number of BI by sparrows in these two periods separately, considering that food information revealed at FPD may change individuals’ bout initiation. Time and bird identity were recorded for each patch discovered. We also tallied the number of chicken feed consumed by each sparrow, and any feed left within patches after a session ended.
The variables analyzed in experiments regarding landing, time allocation, and food exploitation. Variable abbreviations are in parentheses
First landing latency (FLL)
The duration between an entry into the aviary and the first landing of a sparrow on the ground.
Exploration time (ET)
The duration of a sparrow spent on the ground before the first patch discovery.
Exploring-feeding time (EFT)
The duration of a sparrow spent on the ground after the first patch discovery.
Food consumption (FC)
Amount of feed consumed by a sparrow.
Ground-feeding rate (GFR)
Amount of feed consumed by a sparrow per second on the ground [FC/(ET + EFT)].
Food consumption as finder (FCF)
Proportion (%) of feed consumed by a sparrow via active patch discovery.
Landing and exploration bout initiation
Upon release, sparrows always first flew into the parterres to take cover. After a brief period, usually less than a minute, they would start hopping under the parterre plants, taking short flights near the ceiling, or hanging on mesh walls close to cover. Eventually one sparrow would fly down to the ground and initiate exploration. Sparrows that initiated the first exploration bouts, particularly while still being alone on the ground, typically hopped and poked along the walls, whereas birds that joined later mostly skipped this and instead landed in the proximity of other flock mates and ventured toward the ground center.
Since sparrows had no prior information of patch distribution in the aviary until the first bird actually landed on the ground, we pooled sessions of both patch patterns to examine the first landing attempts by sparrows. Fasted sparrows took the first move to leave cover in 36 of the 42 sessions (85.7 %; G c = 22.03, v = 1, p < 0.001).
Mean (± SE) first landing latency (FLL; sec Table 1) of sparrows by their order of landing in clumped and dispersed patch distributions (n = 21 sessions). Landing times by subsequent sparrows after the first landed sparrow are expressed as the delay time
Landing time delayed
813.7 ± 182.0
123.0 ± 32.9
406.5 ± 128.9
627.0 ± 152.6
634.3 ± 151.0
154.1 ± 40.0
456.5 ± 150.1
730.8 ± 181.6
Overall, fasted sparrows initiated 136 and 109 of the total 184 (74 %) and 140 (78 %) exploration bouts in the clumped and dispersed patch patterns, respectively. Before the first pecking at a patch, fasted sparrows led in initiating bouts (BI) in more sessions than fed sparrows both in the clumped (fasted: 2.5 ± 0.42 per session, fed: 0.1 ± 0.21 per session, win: lose: tied = 15:3:3, sign test, p < 0.01) and dispersed patch patterns (fasted: 2.4 ± 0.29, fed: 0.03 ± 0.09, win: lose: tied = 21:0:0, sign test, p < 0.001). After the first pecking, fasted birds also initiated more exploration bouts (2.9 ± 0.70) than fed sparrows (1.1 ± 0.4) in the dispersed pattern (win: lose: tied = 15:3:3, p < 0.01), but less so in the clumped pattern (fasted: 4.0 ± 1.4; fed: 1.5 ± 0.4; win: lose: tied = 11:4:6, p > 0.05).
Time allocation and food exploitation
Mean (± SE) time length (sec) spent and values in food exploitation measures (see Table 1) by two fasted and two fed sparrows in 21 sessions of clumped patch distributions
201.9 ± 29.9
102.1 ± 15.8
465.0 ± 55.7
356.4 ± 39.5
13.9 ± 1.1
10.8 ± 1.0
0.029 ± 0.003
0.033 ± 0.005
16.3 ± 3.8
9.5 ± 2.3
Mean (± SE) time length (sec) spent and values in food exploitation measures (see Table 1) by two fasted and two fed sparrows in 21 sessions of dispersed patch distributions
87.4 ± 32.2
19.3 ± 7.2
770.1 ± 80.8
445.0 ± 36.5
15.1 ± 1.3
9.0 ± 1.0
0.027 ± 0.004
0.022 ± 0.003
46.0 ± 4.3
35.7 ± 4.7
Fasted sparrows were more risk-prone than fed sparrows and initiated exploration more readily and frequently, which supports our first prediction concerning the effects of energy state. This result resembles the group coordination pattern that is predicted for foraging  or the “leading according to need” model for group movements , where more satiated members follow the pace of hungrier partners for the benefits of social foraging, and by synchronizing feeding the state differences between partners may be maintained [51, 53, 54]. In foraging models foragers are assumed to receive energy gains , or the leaders have target destinations , whereas in our experiments the decision was made by the explorers first exposing themselves to potential hazards in novel situations while also risking no energy rewards. This is supported by their hopping along walls, similar to the wall-hugging behavior (i.e., the thigmotaxis) reported in rodents [55, 56] and fish , which may have evolved as an antipredator response and is a validated index of anxiety.
Early explorers may benefit from joining by group members to dilute potential risk of predation ; yet, in nearly half of the sessions for both patch distribution patterns, they did not attract followers in the first exploration bout. An initiator becomes a leader because others decide to follow , whereas in an exploration scenario there might not be apparent reasons for birds to follow immediately into this all risky but uncertain energy reward situation, not even for group cohesion [52, 54]. This process may still be seen as a product of state competition, only not for resources or dominance but for risk-avoidance, where fasted birds had little choice but to be risk-prone taking on a servant leadership , because others were at an energetic advantage to remain waiting longer.
If energy state was the only factor affecting explorers facing a novel situation, a highly asynchronous exploring activity among group members may be expected [53, 61], which, however, was not observed in our experiments. Although not necessarily following the initiator immediately, sparrows showed clear collective movement to enter or leave the testing ground in distinct bouts. Most (71.4 %) sparrows landed before the first patch was found, indicating that simply waiting for the emergence of information (e.g., food) may not be an optimal tactic. This for at least a part may be attributed to the limitation on information transmission by distance . In group foraging, attempted joiners would have to keep a close enough distance for effective observation and quick joining [63, 64], so a nearly synchronizing feeding and state advantages may be maintained . This is even more critical when the patch richness is low [38, 65]. In exploration, those followers may also set their exploration timing in response to the movement of group members, so a quick joining can be achieved. The fact that some sparrows delayed their first landing even after the first patch discovery suggests that the presence of food information might not be strong enough to overcome their fear, or alternatively these sparrows simply did not detect the information of discoveries made by others. The latter strengthens the necessity of keeping proximity to group members for efficient information sharing in exploration.
While individual energy states profoundly affected tree sparrow exploratory behavior under social conditions, patch distribution patterns also affected the differences in payoffs between fasted and fed sparrows. The results support our prediction regarding the second hypothesis that the difference in payoffs between active and scrounging explorers should depend on the finder’s share [37, 38]. Sparrows may be intuitively expected to first discover a patch faster (a shorter FPL) in a dispersed pattern, for its higher patch density, than in a clumped pattern. This, however, was not significantly supported, suggesting that the latency of first patch discovery may not be determined solely by encounter rates. Instead, the novelty effect may prevent sparrows from pecking a patch at the first encounter, supported by our observations that sparrows often kept a distance from, or quickly passed by, a patch at early encounters (YF Lee, unpubl. data). A higher encounter rate in dispersed patterns could gradually reduce explorers’ fear, induce curiosity, or both, and aid to shorten the inter-patch latency, which is consistent with our findings that fasted sparrows, being usually the earlier birds engaging in exploration, first discovered a patch often, and subsequently found a higher number of patches in the dispersed pattern, but not necessarily so in the clumped pattern.
The key presumably lies in how quickly the value of a sand patch (i.e., food) becomes public from personal information obtained directly through patch finding [1, 66]. In clumped patterns, 69 (3.3 ± 0.21/session) birds picked their respective first feed from the first patches found, but only 28 (1.3 ± 0.11/session) birds did likewise in dispersed patterns. Low patch richness in dispersed patterns may make concealing information more likely. In addition, information obtained by earlier patch finders may create information asymmetries between group members , and the higher food gains earned by patch finders would encourage their efforts in further patch finding. Consequently, fasted birds found more patches and obtained higher energy gains in dispersed, but not in clumped, patterns. Our data indicate that energy states affected the time allocated by sparrows in exploration, whereas the rewards can be dependent on food distributions that were unknown to sparrows before exploration. This result also concurs with that was reported based on a simulation model .
In exploration while lacking prior information, satiated animals may be energetically more advantageous, thus can afford to allocate time and effort first to risk averse behavior in riskier situations (e.g., earlier in an exploration event) and to feeding later in lower-risk situations . Thus, when fed birds are waiting for a safer timing, fasted birds will not gain energy faster by scrounging, instead they would have to explore on their own. In contrast, fasted birds actively exploring would confront less competition from fed birds, at least initially, and may consume more food to bring up their energy as a benefit of exposing themselves. This explains our finding that fed birds tended to obtain lower proportions of food gains, and less via active patch finding, than fasted birds. Our data appear contradictory to the general prediction of a risk-sensitive producer-scrounger game  and some empirical foraging studies (e.g., [44, 69, 70]; but see ) and suggest the flexibility of exploratory behavior while facing risk assessment in different contexts. Dominance hierarchy, for instance, was found to play a role in the use of scrounging in flocks of house sparrows (P. domesticus) [69, 70], where low-ranked birds acted more consistently as producers, so higher ranked birds in energy shortage could increase the use of scrounging. Dominance status, however, was not observable among tree sparrows that were assembled randomly and tested in our once-only experimental sessions in a novel environment.
While consuming less food in dispersed patterns, fed birds did not differ from fasted birds in feeding rates in both patch patterns. Apparently, fed birds achieved this by a lowered time exposing to the novel situations of our test ground. In the middle of sessions, however, fed birds also caught up with their fasted conspecifics on patch finding in dispersed patterns. Our study found no body condition effects on exploration and food exploitation, and observed nearly no aggressive behavior (YF Lee, unpubl. data) among birds in tests. These indicate that tree sparrows of different energy states use both active exploring (producer) and joining (scrounger) tactics while exploring a novel environment, and suggest that each bird may concurrently search for information (e.g., food) and explore opportunities of joining others’ discoveries, as depicted by the information sharing model [29, 72]. Reaching foraging needs and information gathering (exploration) may constitute trade-offs with an energetic conflict . Yet, in situations with no conflict such as in this study, our results suggest that the low energy state would reinforce exploratory behavior in fulfilling the food procurement.
Our finding regarding the effect of patch distribution provides a further implication for the discussion of behavioral types. Well-fed birds are less exploratory and tend to eat less, so when the energy states shifts among birds in a flock, the tendency to explore may also be reversed. This would construct a negative feedback loop causing a convergence of state and behavior, and persistent behavioral types will not be maintained [14, 73]. Yet, our study suggests that, when food is clumped distributed and sufficiently abundant, a positive mechanism may operate to offset the negative effect, where satiated individuals can be cautious but still prevent their asset (i.e., a physiological advantage) from eroding due to reliance on information scrounging and keep the loss of their finder’s share to a minimum. Thus as long as sustaining its energy state at a high level, a bird may maintain consistently shier and cautious; conversely, birds of low energy states would only be risk-prone and exploratory, depending on whether they can raise energy reserves sufficiently to allow them to be risk-averse in the future.
Our study revealed a game nature of tree sparrow exploratory behavior in a group context when explorers of different energy states face different patch distributions. For species residing in habitats typified by patchy or ephemeral resource distributions, food resources may emerge as unpredictably as they are depleted, exploration must play a significant role in animal daily activities, and can be relevant to their survival. Studies that incorporate explicitly with variable ecological conditions and species attributes to further explore the functions of exploratory behavior on inspecting environments and resource procurement may aid to understand the constraints and adaptiveness of animal personality traits [4, 12].
We thank JH Chen, HY Chang, WM Chen, YC Lu, CF Tsai, CW Shieh, JL Shieh, and JC Lee for assisting with field and lab works, and MC Ma and YH Tu for statistical advises. Three anonymous reviewers critically improved the early versions of this manuscript.
This study was supported through a grant (96-2621-B-006-005-MY3) funded by National Science Council (NSC, now as Ministry of Science and Technology, MOST), Taiwan.
Availability of data and materials
Not applicable or please contact the corresponding author.
YFL and YMK planned the study and experimental design, WCC conducted sparrow capture, captive caring, and experiments with input from YMK, YFL, and others. YMK conducted the statistical analysis with input from YFL, and YFL and YMK completed the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interest.
Consent for publication
Ethics approval and consent to participate
Our work was ethically approved by NSC permit (96-2621-B-006-005) and complied with the current laws of the country. Special care was given to preventing or minimizing stress of animals in all stages of experiments.
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- Dall SRX, Giraldeau L-A, Olsson O, McNamara JM, Stephens DW. Information and its use by animals in evolutionary ecology. Trends Ecol Evol. 2005;20:187–93.View ArticlePubMedGoogle Scholar
- Schmidt KA, Dall SRX, van Gils JA. The ecology of information: an overview on the ecological significance of making informed decisions. Oikos. 2010;119:304–16.View ArticleGoogle Scholar
- Munoz NE, Blumstein DT. Multisensory perception in uncertain environments. Behav Ecol. 2012;23:457–62.View ArticleGoogle Scholar
- Renner MJ. Neglected aspects of exploratory and investigatory behavior. Psychobiol. 1990;18:16–22.Google Scholar
- Winkler H, Leisler B. Exploration and curiosity in birds: functions and mechanisms. In: Adams NJ, Slotow RH, editors. Proc. 22 Int. Ornithol. Congr. 1999. p. 915–32. DurbanGoogle Scholar
- Verbeek MEM, Drent PJ, Wiepkema PR. Consistent individual differences in early exploratory behavior of male great tits. Anim Behav. 1994;48:1113–21.View ArticleGoogle Scholar
- Dingemanse NJ, de Goede P. The relation between dominance and exploratory behavior is context-dependent in wild great tits. Behav Ecol. 2004;15:1023–30.View ArticleGoogle Scholar
- Nomakuchi S, Park PJ, Bell MA. Correlation between exploration activity and use of social information in three-spined sticklebacks. Behav Ecol. 2009;20:340–5.View ArticleGoogle Scholar
- Minderman J, Reid JM, Hughes M, Denny MJH, Hogg S, Evans PGH, Whittingham MJ. Novel environment exploration and home range size in starlings Sturnus vulgaris. Behav Ecol. 2010;21:1321–9.View ArticleGoogle Scholar
- Kurvers RHJM, Hamblin S, Giraldeau L-A. The effect of exploration on the use of producer-scrounger tactics. PLoS One. 2012;7:e49400.View ArticlePubMedPubMed CentralGoogle Scholar
- Katz K, Naug D. Energetic state regulates the exploration-exploitation trade-off in honeybees. Behav Ecol. 2015;26:1045–50.View ArticleGoogle Scholar
- Sih A, Bell A, Johnson JC. Behavioral syndromes: an ecological and evolutionary overview. Trends Ecol Evol. 2004;19:372–8.View ArticlePubMedGoogle Scholar
- Réale D, Reader SM, Sol D, McDougall PT, Dingemanse NJ. Integrating animal temperament within ecology and evolution. Biol Rev. 2007;82:291–318.View ArticlePubMedGoogle Scholar
- Sih A, Mathot KJ, Moirón M, Montiglio P-O, Wolf M, Dingemanse NJ. Animal personality and state-behaviour feedbacks: a review and guide for empiricists. Trends Ecol Evo. 2015;30:50–60.View ArticleGoogle Scholar
- Montgomery KC. The effect of hunger and thirst drives upon exploratory behavior. J Comp Physiol Psychol. 1953;46:315–9.View ArticlePubMedGoogle Scholar
- Montgomery KC, Monkman JA. The relation between fear and exploratory behavior. J Comp Physiol Psychol. 1955;48:132–6.View ArticlePubMedGoogle Scholar
- Hughes RN. Food deprivation and locomotor exploration in the white rat. Anim Behav. 1965;13:30–2.View ArticleGoogle Scholar
- Morand-Ferron J, Cole EF, Quinn JL. Studying the evolutionary ecology of cognition in the wild: a review of practical and conceptual challenges. Biol Rev. 2016;91:367–89.View ArticlePubMedGoogle Scholar
- Pierre PJ, Skjoldager P, Bennett AJ, Renner MJ. A behavioral characterization of the effects of food deprivation on food and nonfood object interaction: an investigation of the information-gathering functions of exploratory behavior. Physiol Behav. 2001;72:189–97.View ArticlePubMedGoogle Scholar
- Fehrer E. The effects of hunger and familiarity of locale on exploration. J Comp Physiol Psychol. 1956;49:549–52.View ArticlePubMedGoogle Scholar
- Nicol CJ, Guilford T. Exploratory activity as a measure of motivation in deprived hens. Anim Behav. 1991;41:333–41.View ArticleGoogle Scholar
- Lindqvist C, Lind J, Jensen P. Effects of domestication on food deprivation-induced behavior in red junglefowl Gallus gallus, and white leghorn layers. Anim Behav. 2009;77:893–9.View ArticleGoogle Scholar
- Mailleux AC, Devigne C, Deneubourg JL, Detrain C. Impact of starvation on Lasius niger’ exploration. Ethology. 2010;116:248–56.View ArticleGoogle Scholar
- Lima SL, Dill LM. Behavioral decisions made under the risk of predation: a review and prospectus. Can J Zool. 1990;68:619–40.View ArticleGoogle Scholar
- Greenberg R, Mettke-Hofmann C. Ecological aspects of neophobia and neophilia in birds. Current Ornithol. 2001;16:119–78.Google Scholar
- Ward AJW. Social facilitation of exploration in mosquitofish. Behav Ecol Sociobiol. 2012;66:223–30.View ArticleGoogle Scholar
- Kuo YM, Lee YF, Chu WC. Group effects and background color patterns affect the exploratory behavior of tree sparrows. Ethology. 2014;120:1–11.View ArticleGoogle Scholar
- Charnov EL. Optimal foraging, the marginal value theorem. Theor Popul Biol. 1976;9:129–36.View ArticlePubMedGoogle Scholar
- Clark CW, Mangel M. Forging and flocking strategies: information in an uncertain environment. Am Nat. 1984;123:626–41.View ArticleGoogle Scholar
- Berger-Tal O, Avgar T. The glass is half-full: overestimating the quality of a novel environment is advantageous. PLoS One. 2012;7:e34578.View ArticlePubMedPubMed CentralGoogle Scholar
- Bouskila A, Blumstein DT. Rules of thumb for predation hazard assessment: predictions from a dynamic model. Am Nat. 1992;139:161–76.View ArticleGoogle Scholar
- Giraldeau LA, Caraco T. Social foraging theory. New Jersey: Princeton Univ Press; 2000.Google Scholar
- Dugatkin LA, Reeve HK. Game theory and animal behavior. Oxford: Oxford Univ Press; 1998.Google Scholar
- McNamara JM, Houston A. Risk-sensitive foraging: a review of the theory. Bulletin of Mathematical Biol. 1992;54:355–78.View ArticleGoogle Scholar
- Mathot KJ, Wright J, Kempenaers B, Dingemanse NJ. Adaptive strategies for managing uncertainty may explain personality-related differences in behavioural plasticity. Oikos. 2012;121:1009–20.View ArticleGoogle Scholar
- Barnard CJ, Sibly RM. Producers and scroungers: a general model and its application to captive flocks of house sparrows. Anim Behav. 1981;29:543–50.View ArticleGoogle Scholar
- Caraco T, Giraldeau L-A. Social foraging: producing and scrounging in a stochastic environment. J Theor Biol. 1991;153:559–83.View ArticleGoogle Scholar
- Vickery WL, Giraldeau L-A, Templeton JJ, Kramer DL, Chapman CA. Producers, scroungers, and group foraging. Am Nat. 1991;137:847–63.View ArticleGoogle Scholar
- Dubois F, Morand-Ferron J, Giraldeau L-A. Learning in a game context: strategy choice by some keeps learning from evolving in others. Proc R Soc B. 2010;277:3609–16.View ArticlePubMedPubMed CentralGoogle Scholar
- Morand-Ferron J, Giraldeau L-A. Learning behaviorally stable solutions to producer-scrounger games. Behav Ecol. 2010;21:343–8.View ArticleGoogle Scholar
- Belmaker A, Motro U, Feldman MW, Lotem A. Learning to choose among social foraging strategies in adult house sparrows (Passer domesticus). Ethology. 2012;118:1111–21.View ArticlePubMedPubMed CentralGoogle Scholar
- Giraldeau L-A, Hogan JA, Clinchy MJ. The payoffs to producing and scrounging: what happens when patches are divisible? Ethology. 1990;85:132–46.View ArticleGoogle Scholar
- David M, Giraldeau L-A. Zebra finches in poor condition produce more and consume more food in a producer-scrounger game. Behav Ecol. 2012;23:174–80.View ArticleGoogle Scholar
- Barta Z, Giraldeau L-A. Daily patterns of optimal producer and scrounger use under predation hazard: a state-dependent dynamic game analysis. Am Nat. 2000;155:570–82.View ArticlePubMedGoogle Scholar
- Butler SJ, Whittingham MJ, Quinn JL, Cresswell W. Time in captivity, individual differences and foraging behavior in wild-caught chaffinches. Behaviour. 2006;143:535–48.View ArticleGoogle Scholar
- Brown C, Burgess F, Braithwaite VA. Heritable and experiental effects on boldness in a tropical poeciliid. Behav Ecol Sociobiol. 2007;62:237–43.View ArticleGoogle Scholar
- Sherwin CM. Guidelines for the treatment of animals in behavioural research and teaching. Anim Behav. 2006;71:245–53.View ArticleGoogle Scholar
- Carter AJ, Feeney WE, Marshall HH, Cowlishaw G, Heinsohn R. Animal personality: what are behavioural ecologists measuring? Biol Rev. 2013;88:465–75.View ArticlePubMedGoogle Scholar
- Zar JH. Biostatistical analysis. Upper Saddle River: Prentice-Hall; 2010.Google Scholar
- Labocha MK, Hayes JP. Morphometric indicies of body condition in birds: a review. J Ornithol. 2012;153:1–22.View ArticleGoogle Scholar
- Rands SA, Cowllshaw G, Pettifor RA, Rowcliffe JM, Johnstone RA. Spontaneous emergence of leaders and followers in foraging pairs. Nature. 2003;423:432–4.View ArticlePubMedGoogle Scholar
- Conradt L, Krause J, Couzin ID, Roper TJ. “Leading according to need” in self-organizing groups. Am Nat. 2009;173:304–12.View ArticlePubMedGoogle Scholar
- Rands SA, Cowllshaw G, Pettifor RA, Rowcliffe JM, Johnstone RA. The emergence of leaders and followers in foraging pairs when the qualities of individuals differ. BMC Evol Biol. 2008;8:51.View ArticlePubMedPubMed CentralGoogle Scholar
- Sueur C, Deneubourg JL, Petit O, Couzin ID. Differences in nutrient requirements imply a non-linear emergence of leaders in animal groups. PLoS Comput Biol. 2010;6:e1000917.View ArticlePubMedPubMed CentralGoogle Scholar
- Treit D, Fundytus M. Thigmotaxis as a test for anxiolytic activity in rats. Pharmacol Biochem Behav. 1989;31:959–62.View ArticleGoogle Scholar
- Harris AP, D’Each RB, Healy SD. Environmental enrichment enhances spatial cognition in rats by reducing thigmotaxis (wall hugging) during testing. Anim Behav. 2009;77:1459–64.View ArticleGoogle Scholar
- Schnörr SJ, Steenbergen PJ, Richardson MK, Champagne DL. Measuring thigmotaxis in larval zebrafish. Behav Brain Res. 2012;228:367–74.View ArticlePubMedGoogle Scholar
- Krause J, Ruxton GD. Living in groups. Oxford: Oxford Univ Press; 2002.Google Scholar
- Conradt L, Roper TJ. Consensus decision making in animals. Trends Ecol Evol. 2005;20:44–456.View ArticleGoogle Scholar
- Gillet J, Cartwright E, van Vugt M. Selfish or servant leadership? Evolutionary predictions on leadership personalities in coordination games. Pers Individ Dif. 2011;51:231–6.View ArticleGoogle Scholar
- Harcourt JL, Ang TZ, Sweetman G, Johnstone RA, Manica A. Social feedback and the emergence of leaders and followers. Curr Biol. 2009;19:248–52.View ArticlePubMedGoogle Scholar
- Ruxton GD, Fraser C, Broom M. An evolutionarily stable joining policy for group foragers. Behav Ecol. 2005;16:856–64.View ArticleGoogle Scholar
- Flynn RE, Giraldeau L-A. Producer-scrounger games in a spatially explicit world: tactic use influences flock geometry of spice finches. Ethology. 2001;107:249–57.View ArticleGoogle Scholar
- Mónus F, Barta Z. The effect of within-flock spatial position on the use of social foraging tactics in free-living tree sparrows. Ethology. 2008;114:215–22.View ArticleGoogle Scholar
- Beauchamp G. Aspatial model of producing and scrounging. Anim Behav. 2008;76:1935–42.View ArticleGoogle Scholar
- Danchin É, Giraldeau L-A, Valone TJ, Wagner RH. Public information: from nosy neighbors to cultural evolution. Science. 2004;305:487–91.View ArticlePubMedGoogle Scholar
- Dubois F, Giraldeau L-A. Food sharing among retaliators: sequential arrivals and information asymmetries. Behav Ecol Sociobiol. 2007;62:263–71.View ArticleGoogle Scholar
- Lima SL, Bednekoff PA. Temporal variation in danger drives antipredator behavior: the predation risk allocation hypothesis. Am Nat. 1999;153:649–59.View ArticleGoogle Scholar
- Lendvai ÁZ, Barta Z, Liker A, Bókony V. The effect of energy reserves on social foraging: hungry sparrows scrounge more. Proc R Soc Lond B. 2004;271:2467–72.View ArticleGoogle Scholar
- Lendvai ÁZ, Liker A, Barta Z. The effects of energy reserves and dominance on the use of social-foraging strategies in the house sparrow. Anim Behav. 2006;72:747–52.View ArticleGoogle Scholar
- Wu GM, Giraldeau L-A. Risky decisions: a test of risk sensitivity in socially foraging flocks of Lonchura punctulata. Behav Ecol. 2004;21:8–14.View ArticleGoogle Scholar
- Giraldeau L-A, Beauchamp G. Food exploitation: searching for the optimal joining policy. Trends Ecol Evol. 1999;14:102–6.View ArticlePubMedGoogle Scholar
- Luttbeg B, Sih A. Risk, resources and state-dependent adaptive behavioural syndromes. Philo Trans Roy Soc Lond B. 2010;365:3977–90.View ArticleGoogle Scholar