A method for the automated long‐term monitoring of three‐spined stickleback <i>Gasterosteus aculeatus</i> shoal dynamics

Kleinhappel, Tanja K.; AlZoubi, Alaa; Al-Diri, Bashir; Burman, Ohp; Dickinson, Patrick; John, Elizabeth A.; Wilkinson, Anna; Pike, Thomas W.

doi:10.1111/jfb.12332

Cited by 6 publications

(9 citation statements)

References 16 publications

(23 reference statements)

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“…One day prior to the start of the experiment, the standard length of all fish was measured using digital callipers (±0.1 mm) and they were non‐invasively tagged with a circular barcoded tag (5 mm diameter) attached to the middle of their three dorsal spines (Kleinhappel et al. ).…”

Section: Methodsmentioning

confidence: 99%

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Free Amino Acids Mediate Association Preferences in Fish

et al. 2016

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Chemical information is used in a variety of contexts including habitat recognition, foraging and predator avoidance, and a plethora of studies have shown that an individual's distinct chemical profile can mediate interactions with conspecifics. Interestingly, recent work has revealed that diet alone is sufficient to change the chemical profile of individuals, and with it, the way other individuals perceive and interact with them. Free amino acids are known to be utilised across species in a range of contexts, including during predator–prey and host–parasite interactions, and have been widely postulated to underpin diet‐mediated social interactions, especially in fish. However, so far no empirical evidence has been presented to support this suggestion. Using an established behavioural assay in three‐spined sticklebacks (Gasterosteus aculeatus), we aimed to assess association preferences in groups of fish fed experimental diets which differed by a single free amino acid. Our results demonstrate that free amino acids alone are sufficient to mediate interindividual association preferences, raising the possibility that such a mechanism may be widespread among aquatic animals.

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Section: Methodsmentioning

confidence: 99%

“…; Kleinhappel et al. ,b, ). One of the main reasons that chemical information is so widely utilised within social contexts is that it is temporally flexible over short time scales and can be rapidly influenced by factors such as diet and habitat (Doane & Porter ; Bryant & Atema ; Crosland ; Schellinck et al.…”

Section: Introductionmentioning

confidence: 97%

Free Amino Acids Mediate Association Preferences in Fish

et al. 2016

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“…A camcorder (JVC Everio GZ‐MG230) was positioned above each tank for data collection. Tagging fish for individual identification (Kleinhappel, Al‐Zoubi, et al, ) was not possible, as sticklebacks from the low pH lochs showed a reduction in dorsal and ventral spines (for example, see Figures in Giles, ; Magalhaes, D'Agostino, Hohenlohe, & MacColl, ). Therefore, each fish was placed into a transparent cylindrical plastic compartment (5 cm in diameter) with colour markings on the top identifying the specific diet treatment.…”

Section: Methodsmentioning

confidence: 99%

The impact of water pH on association preferences in fish

et al. 2019

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Acidification of lakes and rivers, as a consequence of anthropogenic interference, can cause fundamental changes to biological and ecological processes. One of the main consequences of a reduction in water pH for aquatic organisms is the disruption of their chemosensory abilities, as the detection of chemical cues underpins a wide range of decision‐making processes; for example, a reduction to low pH has been shown to interfere with predator avoidance and the detection of foraging cues. Moreover, aquatic organisms are known to make widespread use of chemical information to inform their social behaviour, although we have a comparably poor understanding of how this is impacted by water acidification, especially their shoaling behaviour. Using a standard behavioural assay, we therefore investigated the impact of low water pH on the social interactions mediated by diet‐derived chemical cues in three‐spined sticklebacks (Gasterosteus aculeatus), by quantifying social behaviour in water that varied either experimentally or naturally in pH. In both cases, we predicted that association patterns would be disrupted by low pH conditions, as reduced pH has shown to interfere with the perception of chemical cues in other non‐social contexts. Consistent with this prediction, our results demonstrate that an acute, short‐term reduction in water pH caused a breakdown in the diet‐mediated social interaction patterns seen in more alkaline water, although, interestingly, the pattern of associations for fish tested in naturally acidic water was both more complex and in a direction that was precisely contrary to our predictions. Overall, the findings provide insights into the potential effects of an acute reduction in water pH on fish communication and social interaction patterns, which may have implication for various individual, group, population and community‐level processes.

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“…For the first two datasets, positions of the objects were provided. For our fish dataset we automatically extracted the required features: the fish were tagged using small circular discs ( [43]) attached to the dorsal spine (see Fig. 8).…”

Section: A Extraction Of Qtc Trajectoriesmentioning

confidence: 99%

“…Finally, all processing was performed off-line using an Intel Core i5-2450M laptop PC. The fish were fitted with a circular marker disc for identification and tracking [43], and the camera was mounted directly above the tank: Fig. 8 shows an example image.…”

Section: Behaviors # Of Trajectoriesmentioning

confidence: 99%

Pair-Activity Analysis From Video Using Qualitative Trajectory Calculus

AlZoubi

Al-Diri

Pike

et al. 2018

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-The automated analysis of interacting objects or people from video has many uses, including the recognition of activities, and identification of prototypical or unusual behaviors. Existing techniques generally use temporal sequences of quantifiable real-valued features, such as object position or orientation; however, more recently, qualitative representations have been proposed. In this paper we present a novel and robust qualitative method which can be used both for classification and clustering of pair-activities. We use Qualitative Trajectory Calculus (QT C) to represent the relative motion between two objects, and encodes their interactions as a trajectory of QT C states. A key element is a general and robust means of determining the sequence similarity, which we term Normalized Weighted Sequence Alignment; we show that this is an effective metric for both recognition and clustering problems. We have evaluated our method across three different datasets, and shown that it out-performs state of the art quantitative methods, achieving an error rate of no more than 4.1% for recognition, and cluster purities higher than 90%. Our motivation originates from an interest in automated analysis of animal behaviors, and we present a comprehensive video dataset of fish behaviors (Gasterosteus aculeatus), collected from lab-based experiments.

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A method for the automated long‐term monitoring of three‐spined stickleback Gasterosteus aculeatus shoal dynamics

Cited by 6 publications

References 16 publications

Free Amino Acids Mediate Association Preferences in Fish

Free Amino Acids Mediate Association Preferences in Fish

The impact of water pH on association preferences in fish

Pair-Activity Analysis From Video Using Qualitative Trajectory Calculus

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