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Institute of Zoology


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IoT supports Ph.D. students each year, who are registered with partner universities and co-supervised by IoZ and university staff. We also run MSc courses in Wild Animal Heath, Wild Animal Biology, Conservation Science, and a veterinary field course Interventions in Wild Animal Health.  2014 Research Assessment Framework The REF2014 judged 85% of our research outputs as 'internationally excellent' or 'world-leading'. Our impact case studies on global biodiversity monitoring and amphibian chytridiomycosis were graded as 'outstanding,' Our impact case study on cetacean strandings was rated as having 'very considerable' impact.
We are funded by the Higher Education Funding Council for England (HEFCE), the same body that supports universities, with additional funding for specific projects from the UK research councils and various other academic, corporate, governmental, and charitable organizations. IoT is affiliated with University College London (UCL), specifically with the UCL Research Department of Genetics, Evolution, and Environment. Our research staff is accorded privileged status within the UCL Division of Biosciences, part of the Faculty of Life Sciences.  The IoT is also a member of the Athena SWAN Charter.
Research in behavioral ecology aims to elucidate the ecological and evolutionary basis for animal behavior, while research in population ecology seeks to explain the dynamics of animal populations, including extinction processes. A proper understanding of animal behavior and population dynamics can make an invaluable contribution to the design of effective conservation policy and practice. Our research in behavioral and population ecology has two primary interlinked aims: To test fundamental behavioral and population ecology hypotheses. To use our knowledge of wild species' behavioral and population ecology to inform conservation policy and management.
We work on a range of vertebrate and invertebrate species in terrestrial and freshwater systems, using the desk-, lab- and field-based approaches. Much of our work falls into four essential programs: Exploring social evolution and its implications and understanding the role of individual variability in population dynamics. Improving methods for monitoring individuals and populations. Developing predictive approaches for population management
Exploring social evolution and its implications, Most of our work in this program focuses on the opportunities and constraints of social life, and behavioral interactions between individuals more generally. Topics include Personality, phenotypic plasticity, and social learning. Hunting behavior, social foraging, and diet choice. Reproductive skew, mating strategies, and sexual coercion. Social networks, contact rates, and movement patterns

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