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Article

Preference for Natural Stimuli in Juvenile Guppies

by
Chiara Varracchio
1,2,*,†,
Cristiano Bertolucci
1,
Giorgio Bertorelle
1 and
Tyrone Lucon-Xiccato
1
1
Department of Life Sciences and Biotechnology, University of Ferrara, 44121 Ferrara, Italy
2
University School for Advanced Studies IUSS Pavia, 27100 Pavia, Italy
*
Author to whom correspondence should be addressed.
This work was part of the PhD dissertation of the author Chiara Varracchio.
Fishes 2026, 11(5), 292; https://doi.org/10.3390/fishes11050292
Submission received: 1 April 2026 / Revised: 29 April 2026 / Accepted: 12 May 2026 / Published: 14 May 2026
(This article belongs to the Section Physiology and Biochemistry)

Abstract

Drawing on the well-documented preference for natural and highly biodiverse environments in humans, it has been proposed that other animals may also recognise and show interest in natural stimuli. If widespread across animals, such a preference could have important evolutionary and welfare implications. However, we currently lack investigations of this preference outside humans. To begin filling this gap, we examined whether juvenile guppies (Poecilia reticulata) exhibit a spontaneous preference for natural stimuli. In a dichotomous choice test, guppies were given the opportunity to choose between an environment containing live aquatic plants and one with structurally similar, in shape and size, artificial plants. After habituation to the testing apparatus, guppies spent significantly more time in the environment with live plants, suggesting a preference for natural stimuli. This supports the idea that, beyond humans, other animals may also be capable of recognizing and responding to natural stimuli.
Key Contribution: Fish displayed a preference for natural over artificial plants, suggesting a potential bias toward natural stimuli.

1. Introduction

Wilson’s [1] ‘biophilia hypothesis’ proposes that evolutionary processes may shape a tendency to attend to and prefer natural stimuli. Most of the evidence supporting this hypothesis comes from the psychological literature in humans, which shows a systematic preference for natural landscapes over human-made ones [1,2,3,4,5,6,7,8]. It must be acknowledged that the observed preference in humans may, rather than representing an evolutionary adaptation [9,10,11,12], be a cultural by-product of modern living conditions, in which individuals spend a substantial proportion of their time indoors within artificial environments. However, it makes it at least possible that other species may exhibit comparable tendencies in their environmental preferences [13]. Investigating these preferences in non-human species is therefore highly interesting from an evolutionary perspective, besides providing potentially important information for the welfare of animals raised in captivity.
Behavioural research across vertebrate taxa provides partial support for this broader idea of sensitivity and attraction to natural stimuli in non-human animals. For example, sensitivity to biological motion, the ability to detect and interpret movement patterns characteristic of living organisms, is well documented not only in humans [14], but also in a wide range of mammals [15], birds [16], and fish [17,18]. In addition, evidence for preferences toward naturalistic conditions has emerged in fields such as animal welfare science. For instance, cows and common marmosets have been shown to prefer outdoor over indoor housing conditions [19,20], while tench have been reported to favour mud substrates compared to concrete alternatives [21]. However, in many of these cases, natural and artificial environments differ along multiple dimensions simultaneously, such as structural complexity, texture, or resource availability. These differences may themselves drive the observed preferences, making it difficult to isolate whether animals are specifically attracted to the “naturalness” of a stimulus. Consequently, there remains a lack of studies directly investigating preferences for natural stimuli in contexts where natural and artificial alternatives are carefully matched for relevant features.
The present study aims to address this gap by investigating whether guppies (Poecilia reticulata) exhibit a preference for natural environments using aquatic plants as stimuli. Teleost fish represent an especially interesting group for investigating the evolution of complex behaviour [22,23]. One of the main reasons for this lies in their phylogenetic position within the vertebrate tree, which makes them particularly suitable for comparison with the other major lineage leading to tetrapods. This comparative perspective provides a valuable framework for exploring the evolutionary origins and diversification of behavioural traits across vertebrates. In addition, teleost fish display a wide range of complex behaviours that are also observed in tetrapods. In some cases, it is even possible to identify potentially homologous brain structures and underlying neural mechanisms that may support these behaviours across fish and other vertebrates [24,25]. Moreover, the study species, being ovoviviparous, produces newborns that are immediately capable of performing a wide range of behaviours, making it a particularly suitable model for investigating innate and early-life preferences [26,27,28].
In our study, we assess whether guppies show a preference for an environment enriched with live aquatic plants compared to one containing structurally similar artificial elements using a dichotomous choice paradigm [29]. This paradigm, while not the only one that could potentially address our experimental question, has the advantage of allowing us to directly measure how fish spontaneously choose between the two environments without introducing forced choices or requiring repeated trials that could lead to learning. Previous studies have shown that fish often respond positively to artificial plants, likely because such structures provide functional benefits such as shelter [30]. However, to the best of our knowledge, a direct comparison between natural and artificial plants that are closely matched in structure is still lacking in our species. Based on the hypothesis of a widespread preference for natural environments [1], we predict that guppies will display a measurable preference for natural plants over artificial ones.

2. Materials and Methods

2.1. Subjects and Maintenance Conditions

This study was conducted on 51 juvenile wild-type guppies (P. reticulata). These individuals originated from a population initially collected in 2002 from the lower Tacarigua River in Trinidad. Following their collection in the river, this population (but not the experimental subjects of this study) has been continuously maintained in an artificial outdoor pond located in Padova (Italy), within a tropical greenhouse facility. This pond was selected to approximate as closely as possible the natural conditions experienced by guppies in Trinidad, thereby minimizing the effects of domestication and other forms of selection in captivity. The pond was a semi-natural habitat, characterised by the presence of abundant aquatic vegetation, natural substrates, and limited human intervention. In this setting, fish were not provided with supplemental feeding, but instead obtained food naturally from the pond environment, including available microorganisms and organic matter. The population was allowed to reproduce freely over multiple generations, without the implementation of any controlled breeding protocols or artificial selection procedures.
Individuals of this long-established population were collected from the greenhouse pond in 2023 to form a laboratory population. Collection was carried out using hand nets. Immediately after capture, the fish were transferred to the laboratory in aerated containers to ensure adequate oxygenation. Upon arrival, individuals were gradually acclimated to laboratory conditions. Subsequently, these guppies were maintained under standardised housing conditions in mixed-sex groups in 400 L plastic tanks. Water temperature was maintained at 27 ± 1 °C, and conductivity was kept at 606.7 ± 60.18 µS/cm throughout the maintenance period. Each tank included a filtration system with mechanical, biological, and chemical components. A 12:12 h light–dark cycle was implemented using 30  W fluorescent lamps (GRO-LUX, Sylvania, Trezzano sul Naviglio, Milan, Itay) to approximate natural photoperiod conditions and to support normal physiological and behavioural rhythms. Feeding was carried out on a regular basis using a combination of commercial flakes (Vipan Nature Tropical Flakes, Sera, Heinsberg, Germany) and freshly hatched Artemia salina nauplii.
As the subjects, we used newborn guppies obtained from the laboratory population and selected randomly following the procedures outlined in Varracchio et al. [29]. Selection of newborns was conducted in the maintenance aquaria described above, where adult guppies could breed freely. These aquaria were inspected each morning, and newborn guppies were promptly collected. The use of newborn individuals, rather than adult fish raised in the aquaria or in the outdoor pond, was a critical aspect of the experimental design, as it ensured that subjects had minimal prior exposure to external environmental stimuli. This approach allowed us to reduce the potential influence of learning and experience, thereby enabling a more reliable assessment of early-life preferences and the possible contribution of innate behavioural mechanisms. Each subject was tested only once. At the end of the testing, the subjects were transferred to maintenance tanks under the same conditions described above and retained in the laboratory as breeders for future experiments.

2.2. General Description of the Paradigm

The experiment was a dicrotous choice test designed to assess spontaneous preference, defined as a behavioural tendency exhibited by an animal in the absence of any prior conditioning, reinforcement, or training procedures (e.g., [31]). This approach allows for the evaluation of unlearned or early-emerging behavioural responses, minimising the potential influence of experience or associative learning. The overall experimental design, apparatus configuration, and testing procedures closely followed those described in Varracchio et al. [29], with only minor modifications introduced to accommodate the specific aims of the present study. Briefly, fish were observed in rectangular tanks divided into three virtual sectors. The two lateral sectors contained the experimental stimuli (natural versus artificial plants), while the central sector served as a neutral area. By quantifying the time spent by each fish in the different sectors, we aimed to assess their preference for natural compared to artificial plants.

2.3. Experimental Apparatus and Plant Stimuli

The experimental apparatus consisted of a rectangular tank (42 cm × 16 cm × 15 cm). The tank was made of white plastic, and it was filled with water to a depth of 10 cm (Figure 1). We used of multiple identical copies of the apparatus (N = 12) to ensure that multiple trials could be conducted simultaneously. Illumination was provided by a 20 W LED strip (6500 K; TMR), positioned as a single strip above the centre of each apparatus to deliver uniform and diffuse lighting.
The preference test was based on the presentation of real and artificial aquatic plants belonging to the three species (Egeria densa, Bacopa caroliniana, and Hygrophila polysperma). Plant species selection was guided by practical considerations, as they are commonly used in tropical freshwater aquaria, are easy to maintain under laboratory conditions, and possess comparable structural traits. Furthermore, for each of these natural plant species, a corresponding artificial counterpart with similar features was available. To ensure comparability between conditions and to isolate the variable of interest (i.e., natural versus artificial origin), particular care was taken to standardise the physical characteristics of the plants. Real plants were trimmed to individual stems measuring 6 cm in length, and artificial plants were cut and adjusted to match this size as closely as possible. Each stem, whether natural or artificial, was attached to a small weight (ceramic biofilter ring) to prevent floating and to maintain a stable and consistent position within the tank throughout the trial.
Three stems of real plants were placed at one end of the tank, while three stems of artificial plants were positioned at the opposite end, thereby creating two distinct but structurally comparable choice environments. A preliminary analysis indicated that plant species did not significantly affect subjects’ preferences (F2,48 = 0.063, p = 0.939), allowing the data to be pooled across plant species without introducing systematic bias. To further control for potential side preferences or spatial biases, the position of real and artificial plants was alternated systematically across subjects. Throughout the experimental period, an air stone connected to an aerator was positioned in the central sector of the apparatus to ensure water circulation and oxygenation.

2.4. Testing Procedure

Testing began by randomly selecting a subject and gently placing it in the central area of the apparatus, equidistant from both stimulus zones. The stimuli were already in place in the apparatus before the subject was introduced. Immediately following placement, A. salina nauplii were delivered using a Pasteur pipette. The transport and the feeding were performed by the same experimenter, maintaining consistency across individual subjects. The subjects were then left undisturbed within the testing apparatus for a period of five days prior to the main behavioural observation. Throughout the experimental period, fish remained in the apparatus and were fed regularly (in the centre of the apparatus) following the maintenance schedule with commercial flakes and A. salina nauplii.
The use of an extended habituation period was based on previous findings demonstrating that prolonged exposure to a novel environment reduces stress responses and facilitates a more reliable assessment of spontaneous environmental preferences [32,33]. When first introduced into an unfamiliar setting, small laboratory fish typically exhibit antipredator responses, including increased thigmotaxis and a tendency to seek shelter or remain in protected areas. Such behaviours can mask underlying preference patterns, particularly when both available options provide refuge. Moreover, in novel environments, fish often exhibit a freezing response, which may prevent them from evaluating both stimuli and lead to a random choice. Because the aim of the present study was to assess habitat preference independently of immediate shelter-seeking behaviour, and given that both experimental conditions offered structurally similar protection that may be difficult to discriminate, we focused on measuring preference after an acclimation interval. The selection of a 5-day habituation period was based on empirical evidence from Varracchio et al. [29] showing that preference for a given environment emerges and can be more reliably measured in this species after five days of habituation to the apparatus. As a control condition, we also observed subjects’ behaviour immediately following their initial introduction into the apparatus. As expected, no significant preference was observed during this early phase, supporting the interpretation that initial responses were primarily driven by general shelter-seeking behaviour rather than by a specific attraction to natural or artificial stimuli.
Each behavioural observation session consisted of a 20 min recording period conducted at a fixed time of day (starting at 9:30 a.m.) in order to minimise potential effects of circadian variation on behavioural activity. The behaviour of the subjects was recorded using a digital video camera (IMX179; Sony, Tokyo, Japan) mounted above the apparatus, providing a top-down view of the experimental arena. This recording setup allowed for accurate and unbiased quantification of spatial behaviour and enabled subsequent offline scoring and analysis of the data.

2.5. Behavioural Data Collection

The behavioural recordings were analysed offline through video playback on a computer monitor. During playback, the experimental apparatus was virtually divided into three distinct but equally sized sectors by means of a transparent overlay applied to the screen. Following the procedure described in Varracchio et al. [29], the first sector corresponded to the area containing natural stimuli, the second represented the central no-choice sector, and the third corresponded to the area containing artificial stimuli. This approach allowed us to quantify a simple, yet effective, measure of choice based on the time spent in each sector, as commonly done in studies on fish preferences (reviewed in [34,35]). It is expected that the more a sector is preferred, the more time the subject will spend in it. Given the relatively small size of the sectors, it is unlikely that a subject would enter a sector randomly without perceiving the associated stimuli, as entry would place it in close proximity to the plants.
Due to the difficulty of implementing reliable automated tracking in environments where plants partially obstruct the subjects’ position, the recordings were scored by an experimenter using custom software (‘Ciclic Timer’). This software provides a set of independent timers that can be activated by the experimenter using different keys on a computer keyboard. Each timer was associated with a specific sector of the test apparatus, allowing for precise and continuous quantification of the time spent by each subject in the respective sectors.
Time spent in each sector was used to compute preference indices [36]. Preference for natural plants was calculated as the proportion of time spent in the sector containing natural plants relative to the total time spent in the two lateral sectors (i.e., excluding the central no-choice sector from this calculation). In contrast, preference for the central sector was calculated as the proportion of time spent in the central area relative to the total observation time.
To account for potential temporal dynamics in behaviour, the 20 min observation period was divided into ten consecutive 2 min time blocks (e.g., [37]). This allowed us to examine how preferences evolved over the course of the testing session and to identify any time-dependent patterns in choice behaviour.

2.6. Statistical Analysis

All statistical analyses were conducted using RStudio (version 2022.02.3). Descriptive statistics are reported as mean ± standard deviation (SD), and the threshold for statistical significance was set at p = 0.05.
The proportion of time spent in the central sector was analysed using a linear mixed-effects model, with ‘minute block’ included as a fixed effect and subject identity included as a random effect to account for repeated measures across time.
To analyse preference for the sector containing natural plants, we first verified that the data met the assumptions of normality using the Shapiro–Wilk test, ensuring that no data transformation was required [38]. Preference values (calculated excluding the central sector, as described above) were then compared against chance level (50%, reflecting equal use of the two lateral sectors) using one-sample t-tests. On this preference variable, we additionally run an analysis based on a linear mixed-effects model, with ‘minute block’ included as a fixed effect and subject identity as a random effect.
Finally, Pearson’s correlation analysis was used to assess the relationship between the proportion of time spent in the central sector and the strength of preference for natural plants.

3. Results

3.1. Choice upon Transferring the Subjects

The analysis of subjects’ behaviour immediately upon transfer to the preference apparatus revealed that they spent 257.8 ± 131.38 s in the central, no-choice sector of the tank. This corresponded to 21.48% of the total testing time. The preference for the sector containing natural plants (calculated excluding the time in the central sector) did not differ significantly from chance level (49.30 ± 24.83%; one-sample t-test against 50%: t50 = −0.202, p = 0.841), indicating no initial bias toward either stimulus. Time spent in the central sector was not significantly correlated with preference for the sector containing natural plants (Pearson’s r = 0.195, p = 0.166).

3.2. Five-Day Preference

In the main observation period, which occurred after 5 days, the subjects spent on average 394.58 ± 141.66 s (32.88% of the total testing time) in the central, no-choice sector (Figure 2a). Analysis using a linear mixed-effects model revealed a significant effect of minute block on this variable (F1457 = 29.824, p < 0.0001), indicating a progressive decrease in the time spent in the central sector over the course of the observation period (Figure 2b).
The preference for the sector containing natural plants was significantly higher than expected by chance (56.96 ± 21.77%; one-sample t-test against 50%: t50 = 2.282, p = 0.027; Figure 2c), indicating that subjects spent more time in the sector with natural plants compared to the sector with artificial plants. This preference also varied across the observation period, as indicated by a significant effect of minute block (linear mixed-effects model: F1457 = 4.115, p = 0.043), but without a clear trend and the linear decrease observed for the time spent in the central sector (Figure 2d).
Interestingly, time spent in the central sector showed a trend toward a negative correlation with preference for the natural plant sector (Pearson’s r = −0.266, p = 0.059). This non-significant pattern suggested that individuals spending more time in the lateral sectors exhibited stronger preferences for natural plants (Figure 2e).

4. Discussion

Our results suggest that a fish species, the guppy (P. reticulata), shows a measurable preference for natural plants over structurally similar artificial ones. This preference for natural plants observed in guppies is consistent with previous research emphasising the ecological importance of vegetation for this species, as well as with research on another fish, the betta (Betta splendens; [39]). Aquatic plants are known to function as critical refuges from predators and to provide essential microhabitats that support foraging activities as well as social interactions [40,41]. However, it is important to note that some of these functional benefits, particularly those related to protection and shelter, could also be provided by artificial plants. The fact that a preference for natural plants still emerged in spite of the benefit of the artificial plants suggests the presence of a recognition mechanism for natural stimuli in guppies. In other words, guppies did not simply respond to the availability of refuge, which could be provided by both natural and artificial plants, but instead discriminated between the two types of stimuli. One possible interpretation is that guppies are able to distinguish natural from artificial plants through visual and/or chemical cues and consequently prefer to occupy the sector containing natural vegetation. At the same time, the mechanism underlying the discrimination and the preference observed in guppies may be indirect. For instance, although both natural and artificial plants were expected to develop biofilm under aquarium conditions, it is plausible that the microbial communities associated with live plants are more complex and diverse [42]. It is also possible that, despite the small size of the apparatus, oxygenation levels during the test were higher in the water surrounding the natural plants. Such differences could contribute indirectly to the observed preference. In our study, we did not analyse these potential secondary factors. Consequently, while our findings are consistent with an attraction to natural stimuli, further work is needed to disentangle the specific features driving this behaviour.
It is also noteworthy that, although statistically significant, the preference measured was relatively modest in magnitude. During the fluctuations observed across the testing period, it often approached chance levels. On the one hand, this may be due to the fact that preference measures based on time spent in a given sector may not be highly discriminating for this type of experimental question. Part of this effect may be due to interference from other behaviours expressed in our experimental setting, as suggested by the near-significant effect of time spent in the centre of the apparatus in predicting preference. Additional approaches, such as forced-choice tests (e.g., T-mazes) or other behavioural variables (e.g., number of interactions or approaches), may therefore be useful to confirm these findings. On the other hand, it is also possible that the preference for natural plants is inherently modest, irrespective of the paradigm adopted. This would suggest that artificial plants may still have provided some degree of attraction, possibly functioning as an alternative form of refuge. Accordingly, observations conducted immediately after introducing subjects into the testing apparatus indicated that both artificial and natural plants elicited similar levels of attraction, likely because both options offered comparable shelter in a novel and potentially threatening environment. Only after a five-day habituation period, once the subjects had acclimated to the apparatus and had the opportunity to explore it more thoroughly, did a clear preference for natural plants become apparent. This temporal pattern is consistent with previous findings in guppies, which indicate that an initial phase of habituation is necessary when the aim is to assess environmental preferences rather than immediate antipredator responses [29]. In the absence of such habituation, behaviour is likely dominated by shelter-seeking tendencies and freezing, which may obscure more subtle preference patterns for specific environmental features.
The relatively modest strength of the preference observed in the present study also raises interesting methodological and applied implications. First, it suggests that artificial stimuli may, under certain conditions, be effectively used to investigate environmental and habitat preferences in fish. While such an approach would inevitably reduce ecological realism, it would allow for greater experimental control over stimulus properties and may be particularly valuable in studies focusing on aquatic environments that are already heavily influenced by artificial structures and materials [43,44,45,46]. Second, our results provide insights into the common practice of using environmental enrichment to improve the welfare of animals kept in captive conditions (e.g., [39,47,48,49]). We suggest that a balanced interpretation of our findings is that natural plants represent the most suitable enrichment option, as they are preferred by the fish but that given that the observed preference was relatively modest, artificial plants may still represent a viable alternative in situations where the use of natural vegetation is impractical or not feasible. Therefore, while the provision of natural plants should be prioritised as an enrichment strategy for fish in captivity, artificial structures may also be considered under certain conditions. Importantly, this conclusion is context-dependent and should be carefully evaluated in relation to the specific environmental, logistical, and husbandry constraints of each setting.
Despite the need for habituation, the preference for natural plants was observed early in development, at a stage when guppies had no prior experience with external environments. Because no explicit reward was associated with choosing the sector containing natural plants, the most parsimonious interpretation, although not the only possible one, is that the observed behaviour may be driven by innate mechanisms rather than learned associations. While this interpretation requires further empirical validation, the presence of such an innate bias would be consistent with the idea that preferences for natural environments have been shaped by natural selection in order to enhance survival and fitness [1]. It would be valuable to systematically investigate preferences for natural environments in other species to further test this hypothesis. Moreover, an aspect that needs to be more directly addressed is the role of experience in shaping environmental preferences. Although we attempted to minimize this factor by using newborn subjects, it cannot be excluded that at least part of the preference for certain environments is influenced by prenatal exposure to environmental cues and epigenetic factors. In this sense, the prior experience of the parents with plants and natural habitats before producing the offspring used in these experiments should also be controlled.

5. Conclusions

In conclusion, our results provide initial evidence that preferences for natural environments may extend beyond humans to other species, highlighting the need for further comparative research across taxa. Future studies should aim to confirm our findings with other behavioural methods and to investigate the neural, sensory, and cognitive mechanisms underlying these preferences. Expanding this line of research may ultimately contribute to a more comprehensive understanding of the functional significance of animal preferences, as well as their welfare relevance.

Author Contributions

Conceptualization: C.V., C.B., G.B. and T.L.-X.; Methodology: C.V. and T.L.-X.; Formal analysis and investigation: C.V.; Data curation: C.V.; Writing—original draft preparation: C.V. and T.L.-X.; Writing—review and editing: C.V., C.B., G.B. and T.L.-X.; Funding acquisition: G.B. All authors have read and agreed to the published version of the manuscript.

Funding

This publication was produced while attending the PhD programme in PhD in Sustainable Development And Climate Change at the University School for Advanced Studies IUSS Pavia, Cycle XXXVIII, with the support of a scholarship financed by the Ministerial Decree no. 351 of 9 April 2022, based on the NRRP—funded by the European Union—NextGenerationEU—Mission 4 “Education and Research”, Component 1 “Enhancement of the offer of educational services: from nurseries to universities”—Investment 4.1 “Extension of the number of research doctorates and innovative doctorates for public administration and cultural heritage”.

Institutional Review Board Statement

The experiments of this study were conducted following the current legislation of our country (Italy, D.L. 4 Marzo 2014, n. 26). The Ethical Committee of the University of Ferrara reviewed and approved the experimental procedures (protocol no. TLX 2022_1; approval date: 19 April 2022).

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

We are thankful to Andrea Margutti for his help in building the apparatuses. During the preparation of this manuscript, the authors used BioRender.com for the purposes of creating Figure 1. The authors have reviewed and edited the output and take full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Wilson, E.O. Biophilia; Harvard University Press: Cambridge, MA, USA, 1986. [Google Scholar]
  2. Abkar, M.; Kamal, M.; Maulan, S.; Davoodi, S.R. Determining the visual preference of urban landscapes. Sci. Res. Essays 2011, 6, 1991–1997. [Google Scholar] [CrossRef]
  3. Herzog, T.R.; Gale, T.A. Preference for urban buildings as a function of age and nature context. Environ. Behav. 1996, 28, 44–72. [Google Scholar] [CrossRef]
  4. Zhou, X.; Cen, Q.; Qiu, H. Effects of urban waterfront park landscape elements on visual behavior and public preference: Evidence from eye-tracking experiments. Urban For. Urban Green. 2023, 82, 127889. [Google Scholar] [CrossRef]
  5. Hung, S.H.; Chang, C.Y. How do humans value urban nature? Developing the perceived biophilic design scale (PBDs) for preference and emotion. Urban For. Urban Green. 2022, 76, 127730. [Google Scholar] [CrossRef]
  6. Qiu, L.; Chen, Q.; Gao, T. The effects of urban natural environments on preference and self-reported psychological restoration of the elderly. Int. J. Environ. Res. Public Health 2021, 18, 509. [Google Scholar] [CrossRef]
  7. Kaplan, S.; Kaplan, R.; Wendt, J.S. Rated preference and complexity for natural and urban visual material. Percept. Psychophys. 1972, 12, 354–356. [Google Scholar] [CrossRef]
  8. Kardan, O.; Demiralp, E.; Hout, M.C.; Hunter, M.R.; Karimi, H.; Hanayik, T.; Yourganov, G.; Jonides, J.; Berman, M.G. Is the preference of natural versus man-made scenes driven by bottom–up processing of the visual features of nature? Front. Psychol. 2015, 6, 471. [Google Scholar] [CrossRef]
  9. Barbiero, G.; Berto, R. Biophilia as evolutionary adaptation: An onto-and phylogenetic framework for biophilic design. Front. Psychol. 2021, 12, 700709. [Google Scholar] [CrossRef]
  10. Falk, J.H.; Balling, J.D. Evolutionary influence on human landscape preference. Environ. Behav. 2010, 42, 479–493. [Google Scholar] [CrossRef]
  11. Hartmann, P.; Apaolaza-Ibáñez, V. Beyond savanna: An evolutionary and environmental psychology approach to behavioral effects of nature scenery in green advertising. J. Environ. Psychol. 2010, 30, 119–128. [Google Scholar] [CrossRef]
  12. Joye, Y.; Van den Berg, A. Is love for green in our genes? A critical analysis of evolutionary assumptions in restorative environments research. Urban For. Urban Green. 2011, 10, 261–268. [Google Scholar] [CrossRef]
  13. Ross, M.; Mason, G.J. The effects of preferred natural stimuli on humans’ affective states, physiological stress and mental health, and the potential implications for well-being in captive animals. Neurosci. Biobehav. Rev. 2017, 83, 46–62. [Google Scholar] [CrossRef]
  14. Simion, F.; Regolin, L.; Bulf, H. A predisposition for biological motion in the newborn baby. Proc. Nat. Acad. Sci. USA 2008, 105, 809–813. [Google Scholar] [CrossRef]
  15. Tomonaga, M. Visual search for biological motion patterns in chimpanzees (Pan troglodytes). Psychol. Int. J. Psychol. Orient 2001, 44, 46–59. [Google Scholar]
  16. Vallortigara, G.; Regolin, L.; Marconato, F. Visually inexperienced chicks exhibit spontaneous preference for biological motion patterns. PLoS Biol. 2005, 3, e208. [Google Scholar] [CrossRef] [PubMed]
  17. Schluessel, V.; Kortekamp, N.; Cortes, J.O.; Klein, A.; Bleckmann, H. Perception and discrimination of movement and biological motion patterns in fish. Anim. Cogn. 2015, 18, 1077–1091. [Google Scholar] [CrossRef]
  18. Nakayasu, T.; Watanabe, E. Biological motion stimuli are attractive to medaka fish. Anim. Cogn. 2014, 17, 559–575. [Google Scholar] [CrossRef] [PubMed]
  19. Charlton, G.L.; Rutter, S.M.; East, M.; Sinclair, L.A. Effects of providing total mixed rations indoors and on pasture on the behavior of lactating dairy cattle and their preference to be indoors or on pasture. J. Dairy Sci. 2011, 94, 3875–3884. [Google Scholar] [CrossRef] [PubMed]
  20. Pines, M.K.; Kaplan, G.; Rogers, L.J. A note on indoor and outdoor housing preferences of common marmosets (Callithrix jacchus). Appl. Anim. Behav. Sci. 2007, 108, 348–353. [Google Scholar] [CrossRef]
  21. Rendon, P.M.; Gallardo, J.M.; Ceballos, E.G.; Regadera, J.P.; García, J.E. Determination of substrate preferences of tench, Tinca tinca (L.), under controlled experimental conditions. J. Appl. Ichthyol. 2003, 19, 138–141. [Google Scholar] [CrossRef]
  22. Prétôt, L.; Agrillo, C.; Bluck, B.C.; Cabrera-Álvarez, M.J.; Héjja-Brichard, Y.; Irwin, K.; Klinke, A.; Lucon-Xiccato, T.; Newport, C.; Segev, R.; et al. ManyFishes: A big team science collaboration on fish comparative cognition. Anim. Cogn. 2025, 29, 12. [Google Scholar] [CrossRef]
  23. Bshary, R.; Brown, C. Fish cognition. Curr. Biol. 2014, 24, R947–R950. [Google Scholar] [CrossRef] [PubMed]
  24. Lucon-Xiccato, T.; Montalbano, G.; Gatto, E.; Frigato, E.; D’Aniello, S.; Bertolucci, C. Individual differences and knockout in zebrafish reveal similar cognitive effects of BDNF between teleosts and mammals. Proc. R. Soc. B Biol. Sci. 2022, 289, 20222036. [Google Scholar] [CrossRef]
  25. Yamamoto, K.; Bloch, S. Overview of brain evolution: Lobe-finned fish vs. ray-finned fish. In Evolution of the Brain, Cognition, and Emotion in Vertebrates; Springer: Tokyo, Japan, 2017; pp. 3–33. [Google Scholar]
  26. Savaşçı, B.B.; Lucon-Xiccato, T.; Bisazza, A. Ontogeny and personality affect inhibitory control in guppies, Poecilia reticulata. Anim. Behav. 2021, 180, 111–121. [Google Scholar] [CrossRef]
  27. Montalbano, G.; Bertolucci, C.; Bisazza, A.; Lucon-Xiccato, T. Interspecific differences in developmental mode determine early cognitive abilities in teleost fish. Anim. Cogn. 2023, 26, 1893–1903. [Google Scholar] [CrossRef]
  28. Piffer, L.; Miletto Petrazzini, M.E.; Agrillo, C. Large number discrimination in newborn fish. PLoS ONE 2013, 8, e62466. [Google Scholar] [CrossRef]
  29. Varracchio, C.; Paci, F.P.; Bertolucci, C.; Bertorelle, G.; Lucon-Xiccato, T. Habituation with apparatus and group testing improves assessment of fish preferences. J. Fish Biol. 2025, 107, 1149–1158. [Google Scholar] [CrossRef]
  30. Sullivan, M.; Lawrence, C.; Blache, D. Why did the fish cross the tank? Objectively measuring the value of enrichment for captive fish. Appl. Anim. Behav. Sci. 2016, 174, 181–188. [Google Scholar] [CrossRef]
  31. Agrillo, C.; Bisazza, A. Spontaneous versus trained numerical abilities. A comparison between the two main tools to study numerical competence in non-human animals. J. Neurosci. Methods 2014, 234, 82–91. [Google Scholar] [CrossRef]
  32. Gatto, E.; Santacà, M.; Verza, I.; Dadda, M.; Bisazza, A. Automated operant conditioning devices for fish. Do They Work? Animals 2021, 11, 1397. [Google Scholar] [CrossRef] [PubMed]
  33. DePasquale, C.; Sturgill, J.; Braithwaite, V.A. A standardized protocol for preference testing to assess fish welfare. J. Vis. Exp. (JoVE) 2020, e6067. [Google Scholar] [CrossRef]
  34. Ogi, A.; Licitra, R.; Naef, V.; Marchese, M.; Fronte, B.; Gazzano, A.; Santorelli, F.M. Social preference tests in zebrafish: A systematic review. Front. Vet. Sci. 2021, 7, 590057. [Google Scholar] [CrossRef]
  35. Millot, S.; Cerqueira, M.; Castanheira, M.F.; Øverli, Ø.; Martins, C.I.; Oliveira, R.F. Use of conditioned place preference/avoidance tests to assess affective states in fish. Appl. Anim. Behav. Sci. 2014, 154, 104–111. [Google Scholar] [CrossRef]
  36. Lucon-Xiccato, T.; Dadda, M.; Bisazza, A. Sex differences in discrimination of shoal size in the guppy (Poecilia reticulata). Ethology 2016, 122, 481–491. [Google Scholar] [CrossRef]
  37. Lucon-Xiccato, T.; Dadda, M.; Gatto, E.; Bisazza, A. Development and testing of a rapid method for measuring shoal size discrimination. Anim. Cogn. 2017, 20, 149–157. [Google Scholar] [CrossRef] [PubMed]
  38. Warton, D.I.; Hui, F.K. The arcsine is asinine: The analysis of proportions in ecology. Ecology 2011, 92, 3–10. [Google Scholar] [CrossRef]
  39. Bender, M.; Oliveira dos Santos Neves, N.; Regina Delziovo, F.; Stockhausen, L.; Serzedello, L.; de Souza Gasparotto, M.; Cipriani, L.A.; Ha, N.; Bicalho, J.P.; Fabregat, T.E.H.P. Environmental enrichment with aquatic plants: Impact of the environment of choice on performance of bettas. J. Appl. Anim. Welf. Sci. 2025, 28, 740–749. [Google Scholar] [CrossRef]
  40. Feyten, L.E.; Ramnarine, I.W.; Brown, G.E. Microhabitat conditions drive uncertainty of risk and shape neophobic responses in Trinidadian guppies, Poecilia reticulata. Ecol. Evol. 2023, 13, e10554. [Google Scholar] [CrossRef]
  41. Texeira-de Mello, F.; de Oliveira, V.A.; Loverde-Oliveira, S.M.; Huszar, V.L.M.; Barquín, J.; Iglesias, C.; Silva, T.S.F.; Duque-Estrada, C.H.; Siliò-Calzada, A.; Mazzeo, N. The structuring role of free-floating plants on the fish community in a tropical shallow lake: An experimental approach with natural and artificial plants. Hydrobiologia 2016, 778, 167–178. [Google Scholar] [CrossRef]
  42. Camson, C.T.; Palillo, J.A.; Fehrenbach, L.A.; Malbrue, R.A. Evaluation of disinfection methods for artificial plants in zebrafish (Danio rerio) recirculating water systems. J. Am. Assoc. Lab. Anim. Sci. 2023, 62, 512–517. [Google Scholar] [CrossRef]
  43. Clifford, C.C.; Heffernan, J.B. Artificial aquatic ecosystems. Water 2018, 10, 1096. [Google Scholar] [CrossRef]
  44. Corcoran, P.L. Benthic plastic debris in marine and fresh water environments. Environ. Sci. Process. Impacts 2015, 17, 1363–1369. [Google Scholar] [CrossRef]
  45. Frehse, F.D.A.; Derviche, P.; Pereira, F.W.; Hostim-Silva, M.; Vitule, J.R.S. Artificial aquatic habitats: A systematic literature review and new perspectives. Hydrobiologia 2025, 852, 1997–2012. [Google Scholar] [CrossRef]
  46. Thompson, R.; Moore, C.; Andrady, A.; Gregory, M.; Takada, H.; Weisberg, S. New directions in plastic debris. Science 2005, 310, 1117. [Google Scholar] [CrossRef]
  47. Tsang, B.; Gerlai, R.T. Common aquarium plants as an enrichment strategy in zebrafish facilities. Zebrafish 2022, 19, 218–223. [Google Scholar] [CrossRef] [PubMed]
  48. Varracchio, C.; Paci, F.P.; Frigato, E.; Bertolucci, C.; Bertorelle, G.; Lucon-Xiccato, T. High biodiversity may improve fish welfare. Appl. Anim. Behav. Sci. 2026, 300, 107001. [Google Scholar] [CrossRef]
  49. Zhang, Z.; Bai, Q.; Xu, X.; Guo, H.; Zhang, X. Effects of environmental enrichment on the welfare of juvenile black rockfish Sebastes schlegelii: Growth, behavior and physiology. Aquaculture 2020, 518, 734782. [Google Scholar] [CrossRef]
Figure 1. Diagram of the experimental setup. Each apparatus was virtually divided into three sectors: a central no-choice sector and two lateral sectors, each containing either natural or artificial plants. The subject was free to move among all sectors.
Figure 1. Diagram of the experimental setup. Each apparatus was virtually divided into three sectors: a central no-choice sector and two lateral sectors, each containing either natural or artificial plants. The subject was free to move among all sectors.
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Figure 2. Experimental results of the preference test. (a) Frequency distribution and probability density plot of the proportion of time spent in the central, no-choice sector of the tank; the dashed line indicates the mean. (b) Temporal variation in the proportion of time spent in the central sector across minute blocks; points indicate means and errors bars indicate standard errors. (c) Frequency distribution and probability density plot of the proportion of time spent in the sector with the natural plants (i.e., preference for the natural plants); the dashed line indicates the mean; the variable was computed excluding the time in the central sector (see text). (d) Temporal variation in the proportion of time spent in the sector with the natural plants (i.e., preference for the natural plants; calculated excluding the time spent in the central sector) across minute blocks; points indicate means, errors bars indicate standard errors, and the dashed line indicates the value of a random choice (i.e., 50%). (e) Correlation between time spent in the central sector and preference for the natural plant sector; the latter variable was computed excluding the time in the central sector (see text).
Figure 2. Experimental results of the preference test. (a) Frequency distribution and probability density plot of the proportion of time spent in the central, no-choice sector of the tank; the dashed line indicates the mean. (b) Temporal variation in the proportion of time spent in the central sector across minute blocks; points indicate means and errors bars indicate standard errors. (c) Frequency distribution and probability density plot of the proportion of time spent in the sector with the natural plants (i.e., preference for the natural plants); the dashed line indicates the mean; the variable was computed excluding the time in the central sector (see text). (d) Temporal variation in the proportion of time spent in the sector with the natural plants (i.e., preference for the natural plants; calculated excluding the time spent in the central sector) across minute blocks; points indicate means, errors bars indicate standard errors, and the dashed line indicates the value of a random choice (i.e., 50%). (e) Correlation between time spent in the central sector and preference for the natural plant sector; the latter variable was computed excluding the time in the central sector (see text).
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MDPI and ACS Style

Varracchio, C.; Bertolucci, C.; Bertorelle, G.; Lucon-Xiccato, T. Preference for Natural Stimuli in Juvenile Guppies. Fishes 2026, 11, 292. https://doi.org/10.3390/fishes11050292

AMA Style

Varracchio C, Bertolucci C, Bertorelle G, Lucon-Xiccato T. Preference for Natural Stimuli in Juvenile Guppies. Fishes. 2026; 11(5):292. https://doi.org/10.3390/fishes11050292

Chicago/Turabian Style

Varracchio, Chiara, Cristiano Bertolucci, Giorgio Bertorelle, and Tyrone Lucon-Xiccato. 2026. "Preference for Natural Stimuli in Juvenile Guppies" Fishes 11, no. 5: 292. https://doi.org/10.3390/fishes11050292

APA Style

Varracchio, C., Bertolucci, C., Bertorelle, G., & Lucon-Xiccato, T. (2026). Preference for Natural Stimuli in Juvenile Guppies. Fishes, 11(5), 292. https://doi.org/10.3390/fishes11050292

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