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Kuczaj, S. A., Makecha, R., Trone, M., Paulos, R. D., & Ramos, J. A. (2006). Role of Peers in Cultural Innovation and Cultural Transmission: Evidence from the Play of Dolphin Calves. Int. J. Comp. Psychol, 19(2), 223–240.
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Thorpe, W. H. (1963). Learning and Instinct in Animals. London: Methuen.
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Burke, C., Rashman, M., Wich, S., Symons, A., Theron, C., & Longmore, S. (2019). Optimizing observing strategies for monitoring animals using drone-mounted thermal infrared cameras. International Journal of Remote Sensing, 40(2), 439–467.
Abstract: ABSTRACTThe proliferation of relatively affordable off-the-shelf drones offers great opportunities for wildlife monitoring and conservation. Similarly the recent reduction in the cost of thermal infrared cameras also offers new promise in this field, as they have the advantage over conventional RGB cameras of being able to distinguish animals based on their body heat and being able to detect animals at night. However, the use of drone-mounted thermal infrared cameras comes with several technical challenges. In this article, we address some of these issues, namely thermal contrast problems due to heat from the ground, absorption and emission of thermal infrared radiation by the atmosphere, obscuration by vegetation, and optimizing the flying height of drones for a best balance between covering a large area and being able to accurately image and identify animals of interest. We demonstrate the application of these methods with a case study using field data and make the first ever detection of the critically endangered riverine rabbit (Bunolagus monticularis) in thermal infrared data. We provide a web-tool so that the community can easily apply these techniques to other studies (http://www.astro.ljmu.ac.uk/aricburk/uav_calc/).
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Forrester, G., Hudry, K., Lindell, A., & Hopkins, W. D. (2018). Cerebral Lateralization and Cognition: Evolutionary and Developmental Investigations of Behavioral Biases (Vol. 238). Cambridge: Academic Press.
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Reader, S. M., & Laland, K. N. (2003). Animal Innovation. Oxford: Oxford University Press.
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Sol, D. (2003). Behavioural flexibility: a neglected issue in the ecological and evolutionary literature. In S. M. Reader and K. N. Laland (Ed.), Animal innovation. (pp. 63–82). Oxford: Oxford University Press.
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Giraldeau, L. - A., Lefebvre, L., & Morand-Ferron, J. (2007). Can a restrictive definition lead to biases and tautologies? Behav. Brain Sci., 30(4), 411–412.
Abstract: We argue that the operational definition proposed by Ramsey et al. does not represent a significant improvement for students of innovation, because it is so restrictive that it might actually prevent the testing of hypotheses on the relationships between innovation, ecology, evolution, culture, and intelligence. To avoid tautological thinking, we need to use an operational definition that is taxonomically unbiased and neutral with respect to the hypotheses to be tested.
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Lee, P. C. (2003). Innovation as a behavioural response to environmental challenges. In S. M. Reader and K. N. Laland (Ed.), Animal Innovation (pp. 261–279). Oxford: Oxford University Press.
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Lee, P. C., & de Antonio, C. A. (2015). Necessity, unpredictability and opportunity: An exploration of ecological and social drivers of behavioral innovation. Animal Creativity and Innovation, , 317–333.
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