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3,872 result(s) for "Dolphins Behavior."
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Dolphin Mysteries
Dolphins have fascinated humans for millennia, giving rise to an abundance of stories and myths about them, yet the actual details of their lives in the sea have remained elusive. In this enthralling book, Kathleen M. Dudzinski and Toni Frohoff take us into the dolphins' aquatic world to witness firsthand how they live their lives, communicate, and interact with one another and with other species, including people. Kathleen M. Dudzinski and Toni Frohoff are scientists who have collectively dedicated more than 40 years to studying dolphins beneath the ocean's surface, frequently through a close-up underwater lens. Drawing on their own experiences and on up-to-the-minute research, the authors show that dolphins are decidedly not just members of a group but distinct individuals, able to communicate with one another and with humans. Dudzinski and Frohoff introduce a new way of looking at, and listening to, the vocabulary of dolphins in the sea, and they even provide an introductory \"dolphin dictionary,\" listing complex social signals that dolphins use to share information among themselves and with people. Unveiling an intimate and scientifically accurate portrait of dolphins, this book will appeal to everyone who has wanted a closer glimpse into the hearts and minds of these amazing creatures.
Dolphins
\"Describes how living in a family group helps dolphins thrive in their environment. Life cycle, habitat, and interaction with people are explained\"--Provided by publisher.
Dolphin communication and cognition
Dolphin researchers have collected an impressive amount of data over the last twenty years, thanks to advances in technology for monitoring, recording and analyzing dolphin behavior as well as increasing interest in exploring and modeling dolphins' cognitive capacities. This volume offers a comprehensive reference to the latest research on dolphin communication and cognition, reporting on findings from both the laboratory and the field.
Activity Budget Comparisons Using Long-Term Observations of a Group of Bottlenose Dolphins (Tursiops truncatus) under Human Care: Implications for Animal Welfare
Zoos and aquaria must provide optimal husbandry conditions and the highest welfare standards for their animals. How the welfare state of an animal or a group of animals can be precisely assessed is currently under debate, and new approaches are necessary to reliably evaluate changes in welfare. One particular measure that is easily applicable is behavioral observations. However, for dolphins and other cetaceans under human care, reliable behavior-based measures are rare. Using long-term observations of a group of bottlenose dolphins, we investigate how their activity budgets and different behaviors changed over time and are impacted by construction noise. Additionally, we investigate whether behavioral differences are also reflected in changes in the dolphins’ performance during daily training sessions. Our results show that construction noise significantly alters the dolphins’ behavior. Play behavior decreases during construction periods; most importantly, the frequency of fast swimming activities significantly increased, and at the same time, a decrease in training performance is found. Additionally, inter- and intraindividual behavioral differences are attributed to factors, such as age or weaning. Significant changes in a dolphin’s activity budget can also pose potential welfare concerns. Thus, this study highlights the importance of regularly assessing and analyzing the behavior of dolphins under human care. Behavioral observations are essential welfare indicators and can—when complemented with other measures, such as assessment of training performance—provide zoo staff with important information about each individual’s state of welfare.
An Integrated Framework with ADD-LSTM and DeepLabCut for Dolphin Behavior Classification
Caring for dolphins is a delicate process that requires experienced caretakers to pay close attention to their behavioral characteristics. However, caretakers may sometimes lack experience or not be able to give their full attention, which can lead to misjudgment or oversight. To address these issues, a dolphin behavior analysis system has been designed to assist caretakers in making accurate assessments. This study utilized image preprocessing techniques to reduce sunlight reflection in the pool and enhance the outline of dolphins, making it easier to analyze their movements. The dolphins were divided into 11 key points using an open-source tool called DeepLabCut, which accurately helped mark various body parts for skeletal detection. The AquaAI Dolphin Decoder (ADD) was then used to analyze six dolphin behaviors. To improve behavior recognition accuracy, the long short-term memory (LSTM) neural network was introduced. The ADD and LSTM models were integrated to form the ADD-LSTM system. Several classification models, including unidirectional and bidirectional LSTM, GRU, and SVM, were compared. The results showed that the ADD module combined with a double-layer bidirectional LSTM method achieved high accuracy in dolphin behavior analysis. The accuracy rates for each behavior exceeded 90%.