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. 2024 Sep 18;12:e18031. doi: 10.7717/peerj.18031

Impacts of visitors on female pheasants in pheasantry, Haripur, Pakistan

Nehafta Bibi 1,2, Binqiang Li 1, Habiba Zaffar 2, Muqaddas Salahuddin 2, Romana Gul 2, Zafeer Saqib 3, Rehana Khan 4, Fiza Mazhar 2, Aymen Shehzadi 2, Laraib Fiaz 2, Muneeba Naseer 2, Xu Luo 1,5,
Editor: Nicola Koyama
PMCID: PMC11416092  PMID: 39308822

Abstract

Background

The interaction between visitors and captive birds is complex, with a potential impact on bird’s behavior and welfare. Understanding this interaction is essential for effective conservation and management.

Methods

We conducted a study at the University of Haripur’s pheasantry in Khyber Pakhtunkhwa, Pakistan to investigate the effects of visitor numbers, duration of visitor presence, and climatic factors on the behavior of female pheasants. We observed the state and events of feeding, hiding, and moving behaviors of 16 randomly selected individuals from five species.

Results

The mixed-effects modeling results show that visitors (VT), visitors’ presence duration (VPD), and temperature (TP), significantly influence feeding events (p < 0.001), feeding duration (p < 0.001), hiding events (p < 0.001) and hiding duration of female pheasants (p < 0.001). The moving events of pheasants were also significantly affected by both VT and VPD (VT: p = 0.002, VPD: p < 0.001). Moreover, under high visitor conditions, the impact of VPD on the behavior of female pheasants was more pronounced (p < 0.001). Additionally, our result reveals that different species of pheasants exhibit varying sensitivities to human factors and climatic factors. For instance, the two species of female pheasants with the highest feeding and hiding events were the Green pheasant (Phasianus versicolor) and the Ring-necked pheasant (Phasianus colchicus). While hiding duration of female Green pheasants, female Golden pheasants (Chrysolophus pictus), and female Silver pheasants (Lophura nycthemera) was longer than those of others. The mean number of moving events was highest in females of Ring-necked, followed by Golden pheasants. The female Indian peafowl (Pavo cristatus) and female Silver pheasants were the birds with the longest moving duration.

Conclusion

Our findings highlight the necessity for customized management strategies, to lessen the effects of human disturbances in pheasantries. For a thorough understanding of these interactions, more studies involving larger sample sizes and a wider variety of species are advised.

Keywords: Human-wildlife interactions, Pheasantry, Visitors impact, Conservation management, Avian behavior, Behavioral adaptation, Captive bird welfare

Introduction

Bird species are especially vulnerable to human disturbance due to close relationships between their habitats, populations, behaviors, and the environment (Kerr & Currie, 1995; Jetz, Wilcove & Dobson, 2007; Tuomainen & Candolin, 2011). Human disturbances, including habitat loss, noise pollution, recreational activities, etc., can drastically impact the behavior, fitness, and reproductive success of birds (Martínez-Abraín et al., 2010; Warrington et al., 2022). These disturbances can disrupt breeding habits, resulting in lower reproductive yield and population declines (French et al., 2011). For instance, disturbances caused by tourists or other visitors in protected areas can induce stress responses in birds affecting their energy expenditure, territorial behavior, and foraging habits (Kangas et al., 2010). Understanding these complex interactions between humans and wildlife is crucial in mitigating the impacts of human disturbances on avian populations.

Within pheasantries, enclosures of captive pheasants can be particularly eye-catching due to the distinctive and beautiful look of many species (Fuller & Garson, 2000). Pheasantries serve as vital resources for research, education, recreation, and the preservation of genetic diversity with the use of ex-situ conservation, reintroductions, and restocking initiatives (World Pheasant Association, 2009). Pheasantries also offer a unique chance to study how different pheasant species react behaviorally to human disturbances as they provide a semi-captive environment where interactions between humans and captive pheasants are inevitable (Hauptmanova, Maly & Literak, 2006; Price, 2008; World Pheasant Association, 2009). However, the relationship between the caged animals and the visitors is complex, and both parties can have a significant impact on the other (Sherwen & Hemsworth, 2019; Collins, McKeown & O’Riordan, 2023). Visitors may experience feelings of happiness, relaxation, excitement, interest, and empathy for the animals during their visits while some captive animals may experience higher levels of stress compared to their wild counterparts (Alatossava, 2022; Woods, Eyer & Miller, 2022).

Zoo animals have been shown to have either negative, neutral, or positive effects on visitors. For instance, visitors have been observed to provoke fear in little penguins (Eudyptula minor) (Chiew et al., 2019), while no direct visitor effect has been observed in the case of a pair of hornbills (Rose, Scales & Brereton, 2020). Several species, including the African spoonbill (Platalea alba), Red-legged seriema (Cariama cristata), Inca tern (Larosterna inca), Boat-billed heron (Cochlearius cochlearius), Black-bellied whistling duck (Dendrocygna autumnalis), and Buff-banded rail (Hypotaenidia philippensis), were found to adapt to human presence and exhibited no discernible changes in their observed behaviors (Blanchett, Finegan & Atkinson, 2020). Certain captive bird species including the Demoiselle crane (Grus virgo), Helmeted guineafowl (Numida meleagris), and Hottentot teal (Spatula hottentota) showed avoidance behavior by moving away from the habitat zone in the presence of visitors. However, Sunbittern (Eurypyga helias) employed vegetation cover more frequently when visitors number was high (Blanchett, Finegan & Atkinson, 2020). Bird’s preference for sheltered areas could be an effort to hide from visitors, which could interfere with their usual behavioral patterns (Morgan & Tromborg, 2007). The probable explanation of these behavioral changes is the theory of trade-off, which states that when individuals spend more time engaging in one behavioral activity, this must be counterbalanced by a comparable drop in at least one other behavioral activity (Favreau et al., 2014).

Animal behavior is widely used to evaluate the welfare of zoo animals and how well captive animals are perceived to be functioning in their current circumstances (Binding et al., 2020). Usually, the questions concerning animal behavior determine whether or not we should record it as events or as states. Events happen immediately and then normally estimated by the frequency, whereas states last for a sizable portion of time and are estimated by the duration of time spent on a given activity (Rose et al., 2022; Altmann, 1974). We chose to document both estimates of behavior to fully grasp the impact of visitors (Steinbrecher et al., 2023). In the present study, we tested whether the number of visitors, visitor’s presence duration, and climatic factors influence the behavior of these caged female pheasants. For this question, we predicted that when the number of visitors and visitor’s presence time increase, 1) feeding events or feeding duration will no matter decrease, 2) hiding events or hiding duration will increase, and 3) moving events or moving duration will decrease.

By answering this research question, we pave the way for the development of evidence-based management strategies for pheasantries and other semi-captive environments, thus aiding in the conservation of bird species and their habitats.

Materials and Methods

Study site and design

The current study was conducted at the pheasantry of the University of Haripur, Khyber Pakhtunkhwa, Pakistan (approved by the Research Ethics/Bioethics committee of the University of Haripur under approval number UOH/DASR/2024/2005). The Department of Forestry at the University of Haripur created a pheasantry on the campus and it covers an area of 8,500 m2. It contains eight species of pheasants i.e., the Indian peafowl (Pavo cristatus), Golden pheasant (Chrysolophus pictus), Ring-necked pheasant (Phasianus colchicus), Silver pheasant (Lophura nycthemera), Reeves’s pheasant (Syrmaticus reevesii), Green pheasant (Phasianus versicolor), Lady Amherst’s pheasant (Chrysolophus amherstiae) and Kalij Pheasant (Lophura leucomelanos). Every species of pheasant was kept in separate enclosures, each measuring 3.04 × 6.09 × 3.04 m (length × width × height).

The interior layout of the enclosures makes the most use of the available space, with areas designated for perching, nesting, feeding, and hiding. The arrangement of the food bowls minimized spillage while facilitating easy access to the food. The pheasant’s feeding habits were taken into consideration when selecting the bowl’s height and size to ensure that they could easily get their food. The top of every enclosure in the pheasantry and also those we used were covered with a strong steel sheet that protects the bird’s food and water from the rain and heat. In addition, the enclosure’s fence was painted green, which enhances its appearance and serves several practical purposes. For instance, it provides a vital line of defense for the birds by acting as a deterrent to predators. Moreover, the green color provides camouflage and lessens visibility to possible threats because it blends in with the surrounding vegetation.

This vegetation inside the cages includes neem (Azadirachta indica), bottlebrush (Melaleuca viminalis), eucalyptus (Eucalyptus camaldulensis), and chir pine (Pinus roxburghii). Both the Australian native eucalyptus and the Himalayan native chir pine offer shade and help to control the enclosure’s temperature. Naturally occurring in Australia, bottlebrush serves as a component of the natural habitat and adds visual interest. India’s native neem adds more foliage and enhances the overall diversity of the habitat. In addition to improving the pheasants’ living conditions, these plants provide them with natural aesthetics and hiding places. In addition to being a research facility, the pheasantry is a popular tourist destination that draws staff, students, and their friends from nearby areas (Fig. S1).

Subject

The study was conducted from 22 March to 8 April 2022 (15 days, except weekends). By laying eggs and raising chicks, female pheasants make a significant contribution to population growth and reproduction. Therefore, only female individuals were chosen for observation. A random selection of five species (two individuals of Indian peafowl, four Ring-necked pheasants, two Silver pheasants, two Golden pheasants, and six green pheasants) was made from a total pool of eight pheasant species following random sampling methodology of Crockett & Ha (2010). Individuals of each species were housed in separate enclosures, with females and males kept together. The composition of each enclosure was as follows: one male and two Indian peafowl females, one male and four Ring-necked female pheasants, one male and two Silver female pheasants, one male and two Golden female pheasants, and one male and six Green female pheasants. Sex identification was performed using plumage characteristics (Kayvanfar, Aliabadian & Ghasempouri, 2015). Continuous focal sampling was used from 10 am–5 pm to measure both the state and events of feeding, hiding, and moving behavior of a focal individual. A single focal individual was selected for recording both state and events of feeding, hiding, and moving behavior (Cooper & Jordan, 2013; Bosholn & Anciães, 2022). This time was decided to align with the institution’s operating hours.

Data were collected using the camera trap (PC 900 HyperFire Professional IR) as it may be the most appropriate technique for monitoring the behavior of large, ground-dwelling pheasants (Fischer et al., 2017). We placed one camera in the upper corner of each cage to provide maximum coverage of the ground and to avoid obstructing the bird. Consequently, during the course of our research, the data represent observations of five birds in total. From the continuous recordings, we extracted six behavior estimates: feeding events, feeding duration, hiding events, moving events, and moving duration with 35 h per day and a total of 525 h (Steinbrecher et al., 2023). Our cameras record videos that last for 1 min.

In addition, five observers were placed on the lawn to manually record the state and events of feeding, hiding, and moving behaviors of the focal individual. They also recorded the number of visitors and the duration of their presence near each of the five cages. To lessen the possibility of any observer effects, the observers’ positions were hidden from the birds inside the cages.

An ethogram was developed and adopted from the previous studies (Blanchett, Finegan & Atkinson, 2020; Sherwen et al., 2015; Zapletal et al., 2011; Table 1). We counted the events of each behavior per hour before statistical analyses. We also used the sum of the total time duration of each behavior per hour for analysis (Steinbrecher et al., 2023). Environmental variables including hourly temperature and relative humidity were collected from the weather station of the city.

Table 1. Ethogram adopted from previous studies (Zapletal et al., 2011; Sherwen et al., 2015; Blanchett, Finegan & Atkinson, 2020).

Behavior Description State/Event behavior
Feeding Food intake behavior, picking food from the food bowl with head lowered, and consumption of food. Feeding event
Feeding duration
Hiding Being stationary in the bushes or moving towards bushes when perceiving or alarmed by any danger. Hiding event
Hiding duration
Moving Walking back and forth in a set route with no apparent goal (neither towards the feeding bowl nor towards bushes), including walking with both heads upright and lowered. Moving event
Moving duration

Statistical analysis

First, we divided the number of visitors into low, medium, and high quartiles to determine the dividing point. We calculated the first quartile (Q1, the value at 25% percentile), the second quartile (Q2, the median, the value at the 50th percentile), and the third quartile (Q3, the value at the 75th percentile). Specifically, we categorized visitor numbers as follows: low (<Q1, <3), middle (between Q1 and Q3, 3 to 9, inclusive), and high (greater than Q3, >9). Due to the existence of multilinearity between variables, we used Spearman correlation analysis to obtain the correlation coefficient between variables. There was a significant negative correlation between temperature and relative humidity, so we removed the relative humidity. This allowed us to obtain the individual effects and percentages of each variable’s contribution to the model.

In all data analysis, linear mixed-effects models were utilized to examine the effects of human and climatic factors on the behavior of female pheasants. The variables ‘visitors number,’ ‘visitor presence duration,’ and ‘temperature’ were log-transformed and treated as fixed factors, while the date of observation and the species were considered random factors. The Akaike Information Criterion (AIC) was applied to select the most optimal model, with a lower AIC indicating a better fit. Models with a ΔAICc of less than two were deemed the best. To determine the individual effects and the percentage contributions of human factors and climatic variables to the model, a hierarchical partitioning method was employed.

Furthermore, to investigate the impact of visitor categories (high, medium, low), linear mixed-effects models were also fitted, following the same analytical steps as the overall data analysis (which did not categorize visitor numbers). To discern the differential responses of five species of pheasants to human and climatic factors, multiple comparisons were conducted using linear mixed-effects models. The fixed factors included ‘species,’ ‘visitors,’ ‘visitor presence duration,’ and ‘temperature,’ with the date of observation as a random factor. The Tukey’s Honestly Significant Difference (Tukey’s HSD) test was applied for inter-species multiple comparisons.

All analyses were conducted in R 4.2.2 (R Core Team, 2022). We utilized the ‘lme4’ package for mixed-effects modeling (Bates et al., 2015), the ‘MuMIn’ package for model selection (Barton, 2017), the ‘glmm.hp’ package for hierarchical partitioning (Lai & Tang, 2024), and the ‘emmeans’ and ‘multcomp’ packages for inter-species multiple comparisons (Lenth, 2021; Hothorn et al., 2022).

Results

Results from the mixed-effects modeling indicate that visitors (VT), visitor’s presence duration (VPD), and temperature (TP) significantly influence the feeding event (p < 0.001), feeding duration (p < 0.001), hiding events (p < 0.001), and hiding duration of female pheasants (p < 0.001) (Table 2). The visitor’s presence duration exerts the most substantial impact on pheasant behavior. Both VT and VPD also significantly affect the moving events of pheasants, with VPD having the greatest influence on these activities (VT: p = 0.002, VPD: p < 0.001). When visitors number was low to medium, TP had the most significant impact on pheasant behavior. However, in high visitor conditions, the influence of VPD on pheasant behavior becomes more pronounced (p < 0.001; Table 2). Additionally, our result reveals that different species of pheasants exhibit varying sensitivities to human factors and climatic factors (Table 3).

Table 2. Linear mixed-effects analysis of human factors and climatic factors on pheasant behavior.

Predictor Estimate SE df t value p value I. perc (%)
All data
Feeding events VT −0.261 0.029 514.89 −8.969 p < 0.001 30.08
VPD −0.442 0.032 505.55 −13.610 p < 0.001 44.86
TP −1.184 0.163 496.95 −7.252 p < 0.001 25.06
Feeding duration VT −0.185 0.027 516.29 −6.818 p < 0.001 29.07
VPD −0.369 0.030 506.24 −12.145 p < 0.001 52.52
TP −0.608 0.152 477.01 −4.003 p < 0.001 18.41
Hiding events VT 0.290 0.032 498.65 9.069 p < 0.001 33.84
VPD 0.304 0.036 504.88 8.427 p < 0.001 26.84
TP 1.951 0.183 514.48 10.672 p < 0.001 39.32
Hiding duration VT 0.127 0.021 502.88 5.962 p < 0.001 25.86
VPD 0.216 0.024 504.85 9.051 p < 0.001 36.1
TP 1.045 0.121 514.61 8.624 p < 0.001 38.04
Moving events VT −0.132 0.043 510.89 −3.054 0.002 40.57
VPD −0.225 0.049 510.93 −4.584 p < 0.001 59.43
Low (number of visitors)
Feeding events VPD −0.378 0.130 70.63 −2.900 0.0049 40.7
TP −0.444 0.096 68.54 −4.614 p < 0.001 45.83
VT −0.809 0.424 11.80 −1.908 0.081 13.47
Feeding duration VPD −0.246 0.096 71.67 −2.561 0.013 41.35
TP −0.786 0.413 26.32 −1.904 0.068 58.65
Hiding events VPD 0.342 0.110 79.23 3.114 0.003
Hiding duration VPD 0.257 0.086 75.39 2.982 0.003 35.06
TP 0.785 0.381 29.36 2.060 0.048 64.94
Medium (number of visitors)
Feeding events VPD −0.292 0.042 240.78 −6.973 p < 0.001 44.01
TP −1.262 0.159 246.50 −7.917 p < 0.001 55.99
Feeding duration VT −0.215 0.056 242.02 −3.807 p < 0.001 18.67
VPD −0.227 0.035 244.03 −6.459 p < 0.001 58.07
TP −0.417 0.135 241.89 −3.086 0.002 23.26
Hiding events VT 0.582 0.090 242.04 6.440 p < 0.001 33.15
VPD 0.192 0.057 243.34 3.400 p < 0.001 13.22
TP 1.607 0.219 246.57 7.334 p < 0.001 53.63
Hiding duration VPD 0.133 0.036 241.94 3.693 p < 0.001 28.51
TP 0.922 0.137 246.53 6.722 p < 0.001 71.49
Moving duration VT 0.202 0.055 242.32 3.694 p < 0.001
High (number of visitors)
Feeding events VT −0.812 0.206 130.82 −3.946 p < 0.001 34.24
VPD −0.542 0.102 133.79 −5.297 p < 0.001 57.13
TP −1.655 0.773 65.78 −2.140 0.036 8.63
Feeding duration VT −0.413 0.200 137.11 −2.071 0.04 28.36
VPD −0.340 0.100 138.68 −3.405 p < 0.001 71.64
Hiding events VPD 0.244 0.063 130.98 3.888 p < 0.001 68.7
TP 1.198 0.463 36.09 2.587 0.014 31.3
Hiding duration VPD 0.210 0.052 142.56 4.023 p < 0.001
Moving events VPD −0.396 0.143 137.51 −2.766 0.006 85.43
TP −0.952 0.998 46.61 −0.954 0.345 14.57
Moving duration VT 0.337 0.141 137.40 2.395 0.018 51.17
TP 0.952 0.486 47.90 1.958 0.056 48.83

Table 3. Linear mixed-effects analysis of species differences towards the effects of human factors and climatic factors on pheasant behavior.

Species Mean ± SD emmean SE df Lower. CL Upper.CL Significant group
Feeding events
Silver pheasant 8.52 ± 5.45 1.78 0.0558 47.3 1.77 1.78 a
Red-golden 8.05 ± 5.93 1.87 0.0545 43.5 1.87 1.88 a
Indian Peafowl 7.61 ± 4.26 1.9 0.0545 43.5 1.9 1.91 a
Green pheasant 15.39 ± 3.87 2.59 0.0549 44.4 2.58 2.59 b
Ring-necked 14.92 ± 5.34 2.74 0.0549 44.5 2.74 2.75 b
Feeding duration
Red-golden 8.08 ± 4.78 1.93 0.0481 53 1.92 1.93 a
Silver pheasant 8.65 ± 3.79 1.94 0.0494 58.2 1.94 1.95 a
Indian Peafowl 8.25 ± 3.53 2.05 0.0481 53 2.05 2.05 a
Green pheasant 16.70 ± 4.01 2.7 0.0485 54.3 2.7 2.7 b
Ring-necked 17.09 ± 5.59 2.85 0.0485 54.5 2.84 2.85 b
Hiding events
Indian Peafowl 13.59 ± 6.78 2.33 0.0673 33.3 2.32 2.33 a
Ring-necked 15.98 ± 8.13 2.48 0.0677 34 2.48 2.48 ab
Red-golden 16.88 ± 9.53 2.54 0.0673 33.3 2.54 2.55 b
Silver pheasant 13.22 ± 6.28 2.56 0.0686 35.8 2.56 2.57 bc
Green pheasant 14.79 ± 5.89 2.74 0.0677 33.9 2.73 2.74 c
Hiding duration
Indian Peafowl 17.15 ± 6.83 2.72 0.0448 33 2.72 2.73 a
Ring-necked 19.31 ± 4.80 2.88 0.045 33.7 2.87 2.88 b
Silver pheasant 19.23 ± 7.82 2.93 0.0456 35.4 2.92 2.93 b
Red-golden 22.43 ± 10.01 2.95 0.0448 33 2.95 2.95 b
Green pheasant 19.17 ± 4.12 2.98 0.045 33.6 2.98 2.99 b
Moving events
Silver pheasant 10.90 ± 6.98 2.08 0.073 114 2.07 2.08 a
Indian Peafowl 11.31 ± 7.39 2.19 0.0706 103 2.18 2.19 ab
Green pheasant 12.52 ± 4.62 2.42 0.0712 105 2.41 2.42 bc
Red-golden 15.50 ± 9.08 2.52 0.0706 103 2.52 2.53 c
Ring-necked 14.21 ± 6.28 2.59 0.0713 106 2.59 2.6 c
Moving duration
Ring-necked 20.50 ± 5.10 2.97 0.0472 33.7 2.97 2.98 a
Green pheasant 21.20 ± 4.46 3.05 0.0472 33.6 3.04 3.05 a
Red-golden 25.39 ± 11.47 3.07 0.047 33 3.06 3.07 a
Indian Peafowl 36.17 ± 4.83 3.23 0.047 33 3.23 3.24 b
Silver pheasant 32.10 ± 5.31 3.48 0.0478 35.4 3.48 3.48 c

Results of the species-wise analysis show that in terms of feeding events, the female Green pheasants had the highest mean followed by female Ring-necked pheasants, female Indian peafowl, female Golden pheasants, and female Silver pheasants. The longest feeding durations were observed in female Ring-necked pheasants and female Green pheasants, while female Silver pheasants, female Golden pheasants, and female Indian peafowl displayed marginally shorter durations. Female Green pheasants and female Silver pheasants showed the greatest number of hiding events, followed by female Ring-necked, female Golden, and female Indian peafowl. Furthermore, the hiding duration of female Green pheasants, female Golden pheasants, and female Silver pheasants was longer than those of female Ring-necked pheasants and female Indian peafowl. The mean number of moving events was the highest in female Ring-necked, followed by female Golden pheasants. The female Indian peafowl and female Silver pheasants were the birds with the longest moving duration (Table 3).

Discussion

The results of our investigation demonstrate that visitor, visitor presence duration, and temperature have a major influence on the behavior of captive female pheasants. We found that feeding events, feeding duration, hiding events, and hiding duration were all impacted by the visitor’s presence duration; this effect was more noticeable under high visitor conditions. We may gain a deeper understanding of these dynamics by comparing our results with those of other studies and finding both consistencies and discrepancies.

Even though zoos are essential for scientific research, teaching, and conservation, Woods, Eyer & Miller (2022) found that visitors may be detrimental to the captive animals. Yet Blanchett, Finegan & Atkinson (2020) suggest that visitors may have neutral, negative, or positive effects on the behavior of captive birds. Our findings are consistent with earlier studies showing that visitors have a major influence on the behavior of captive animals (Sherwen & Hemsworth, 2019; Rose, Scales & Brereton, 2020). Our findings also align with Rose et al. (2022), who has shown that in conjunction with a change in sound environment, visitor presence can also change bird behavior. In contrast, some studies found no significant effects of visitors on certain bird species (Collins et al., 2016). Certain species might react to visitors by becoming more active and gregarious, while others might show signs of stress or avoidance (Price, 2008; Woods, Eyer & Miller, 2022). Alatossava (2022) has brought attention to the possible stress that visitors may cause captive birds, and this stress may have an impact on the birds’ behavior and general health. This demonstrates the difficulty in maintaining mixed-species exhibits and the necessity of close observation and modification of management strategies in response to the unique requirements of each species (Hauptmanova, Maly & Literak, 2006). For instance, interactions between visitors and captive animals can be intense and irregularly arranged, which may affect the animals’ behavior and general well-being (Sherwen & Hemsworth, 2019; Rose, Scales & Brereton, 2020). Our results also demonstrate that temperature has a major impact on bird behavior, which is consistent with earlier research (Rose, Scales & Brereton, 2020). This finding is also consistent with Goodenough et al. (2019) and Kidd, Rose & Ford (2022) who found that weather and time of day can have a bigger impact on zoo animal behavior. This highlights that to maintain the welfare of pheasants, management must take great care to manage human and climatic factors.

Likewise, we found variation in the response of different female pheasants towards human factors and climatic factors. For instance, female Green pheasants and female Ring-necked showed an increase in both events and state of feeding and hiding. These behavioral variations between female pheasant species highlight how crucial it is to take into account each species’ reaction to human factors and climatic factors (Crockett & Ha, 2010). These behavioral variations also demonstrate the importance of species-specific adaptations to human factors and climatic factors. For example, higher feeding and hiding states and events in female Green pheasants and female Ring-necked pheasants than other species may be an adaptation to visitors (Hauptmanova, Maly & Literak, 2006). Research conducted by Sherwen et al. (2015) has demonstrated that little penguins also display comparable increases in hiding behavior and distance from observer areas. Additionally, in the case of Humboldt penguins (Spheniscus humboldti), it was found that their ability for habituation became low, yet sensitivity to human activities increased (Mendes et al., 2020). This highlights the importance of acknowledging in management guidelines that even closely related species may respond differently to human presence.

Based on our research, two points should be considered in the future study. The enclosures available at the pheasantry in the University of Haripur, which have been built for decades, may not fully reflect the natural habitat in complexity and heterogeneity. The responding behavior of these pheasants may alter in their natural habitat or in larger enclosures that provide more space, as previous studies have shown (Rose, Brereton & Croft, 2018; de Azevedo et al., 2023). The second important point is the group composition in each enclosure, particularly the number of females. Females may experience less stress in larger groups than in smaller groups leading to varied behavioral responses towards visitors (Leone & Estevez, 2008; Hopper, 2021). This highlights the significance of the careful creation of enclosures that provide enough space and satisfy the social and behavioral demands of the species.

Conclusion

In conclusion, our research shows that visitors, duration of visitor’s presence, and temperature, all have a substantial impact on the behavior of captive female pheasants. We found that the presence of visitors affected feeding events, feeding duration, hiding events, and hiding duration with the impacts being more noticeable during high visitor conditions. Our results are consistent with earlier studies showing that visitors can affect the behavior of caged animals, though species-specific differences exist in the responses. This highlights the significance of customized management approaches in zoos. To understand the variables causing behavioral changes in animals kept in captivity, more research is required.

Supplemental Information

Supplemental Information 1. Codes used for analysis.
DOI: 10.7717/peerj.18031/supp-1
Supplemental Information 2. Supplementary material.
DOI: 10.7717/peerj.18031/supp-2
Supplemental Information 3. Data used in analysis.
peerj-12-18031-s003.xlsx (50.4KB, xlsx)
DOI: 10.7717/peerj.18031/supp-3

Acknowledgments

We thank Dr. Liang Dan, Azhar Hussain Shah, and Zakria Khalid for their assistance in research and the Department of Forestry, University of Haripur Khyber Pakhtunkhwa Pakistan for facilitating us in conducting experiments within the pheasantry.

Funding Statement

This study was supported by the provincial disciplinary construction fund (Forestry) and the postdoctoral fund of Yunnan Province, China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Additional Information and Declarations

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Nehafta Bibi conceived and designed the experiments, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

Binqiang Li conceived and designed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

Habiba Zaffar conceived and designed the experiments, performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Muqaddas Salahuddin conceived and designed the experiments, analyzed the data, authored or reviewed drafts of the article, extracted videos from recording, and approved the final draft.

Romana Gul conceived and designed the experiments, performed the experiments, analyzed the data, authored or reviewed drafts of the article, extracted videos from recording, and approved the final draft.

Zafeer Saqib conceived and designed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

Rehana Khan conceived and designed the experiments, performed the experiments, authored or reviewed drafts of the article, supervised students during experiments, and approved the final draft.

Fiza Mazhar conceived and designed the experiments, performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Aymen Shehzadi conceived and designed the experiments, performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Laraib Fiaz conceived and designed the experiments, performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Muneeba Naseer conceived and designed the experiments, performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Xu Luo conceived and designed the experiments, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

Animal Ethics

The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):

This study was conducted under the ethical policy of the Research Ethics/Bioethics Committee of the University of Haripur (Approval number: UOH/DASR/2024/2005).

Data Availability

The following information was supplied regarding data availability:

The data and code used for analysis are available in the Supplemental Files.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Information 1. Codes used for analysis.
DOI: 10.7717/peerj.18031/supp-1
Supplemental Information 2. Supplementary material.
DOI: 10.7717/peerj.18031/supp-2
Supplemental Information 3. Data used in analysis.
peerj-12-18031-s003.xlsx (50.4KB, xlsx)
DOI: 10.7717/peerj.18031/supp-3

Data Availability Statement

The following information was supplied regarding data availability:

The data and code used for analysis are available in the Supplemental Files.


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