NSFDEB-NERC - Testing effects of resources and competitors at multiple spatial and temporal scales in multiple populations

Lead Research Organisation: Swansea University
Department Name: School of the Environment and Society

Abstract

It is widely recognized that prey populations can be limited not only by direct predation, but also by the costs of avoiding predation ('risk effects'). Logic suggests that risk effects might also exist in competitive interactions. We propose to test whether the avoidance of risk carries energetic costs that translate into effects on survival, reproduction, population dynamics and gene flow in a subordinate competitor, the African wild dog. We will do this by incorporating new methods into our ongoing long-term studies of African wild dog, lion and prey populations in three ecosystems. Specifically, we will couple direct observation of wild dogs to data from animals equipped with GPS collars, high frequency triaxial accelerometers and magnetic field intensity sensors, which, together, will give us very fine-scaled data on movement, dynamic body acceleration, energy expenditure and energy gain for wild dogs hunting in areas with known densities and distributions of lions and prey. Triaxial accelerometers will provide detailed and precise measurements of vectorial dynamic body acceleration (VeDBA), a powerful proxy for energy expenditure at time scales ranging from seconds to days or months. GPS collars will provide inferences on space use and movement from movement models (particularly dynamic Brownian bridge models - dBBMMs) at time scales from hours to years. These models of movement models, fit to trajectories derived from a combination of VeDBA, magnetic field intensity and GPS locations using a process termed 'dead-reckoning' (where animal movement patterns are derived from using vectors on movement data), will test for effects on movement down to the scale of seconds. Direct observation of the same individuals in continuous three-day 'follows' will provide spatiotemporally matched data on encounters with prey, hunts and kills to quantify energy gain at time scales from hours to years, and will provide critical context for the interpretation of other data. By pairing these data with intensive, long-term monitoring of known individuals, we will test relationships with survival, reproduction and population dynamics (using a Bayesian integrated population model), and effects on gene flow using a SNP chip we have developed and validated. With replication across three ecosystems with well-measured variation in the densities of competitors and prey, we will obtain data for a range of ecological conditions that would not be possible with a single site.

Organisations

Publications

10 25 50
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Argentinean National Agency for Science and Technology (CONICET)
Country Argentina 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Centre d'Etudes Biologiques de Chizé
Country France 
Sector Public 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Cornell University
Country United States 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Czech University of Life Sciences Prague
Country Czech Republic 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Durrell Wildlife Conservation Trust
Country Jersey 
Sector Charity/Non Profit 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation King Abdullah University of Science and Technology (KAUST)
Country Saudi Arabia 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation King Saud University
Country Saudi Arabia 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Mauritius Wildlife Foundation
Country Mauritius 
Sector Charity/Non Profit 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Max Planck Institute of Animal Behavior
Country Germany 
Sector Public 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation McGill University
Country Canada 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Murdoch University
Country Australia 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Nagoya University
Country Japan 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation National University of Central Buenos Aires
Country Argentina 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation National University of Comahue
Country Argentina 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Queen Mary University of London
Country United Kingdom 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Queen's University Belfast
Country United Kingdom 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Stanford University
Country United States 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation State University of Norte Fluminense
Country Brazil 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University College Cork
Country Ireland 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University of Cape Town
Country South Africa 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University of Glasgow
Country United Kingdom 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University of Liverpool
Country United Kingdom 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University of Oxford
Country United Kingdom 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University of Pretoria
Country South Africa 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University of Queensland
Country Australia 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University of Sheffield
Country United Kingdom 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University of South-Eastern Norway
Country Norway 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation University of the Valley of Guatemala
Country Guatemala 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation Western Australian Marine Science Institution
Country Australia 
Sector Public 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023
 
Description Investigations into fundamental step durations and turn angles in moving vertebrates 
Organisation École normale supérieure de Lyon (ENS Lyon)
Country France 
Sector Academic/University 
PI Contribution Our wild dog data were analysed to be put within the pool of data from 37 other species (and 45 co-authors). The data added an important aspect, being the only data that covered canids. In brief, the study, for the first time, uses high-resolution dead-reckoning techniques to elucidate the intricate details of vertebrate movement across diverse environments-underwater, terrestrial, and aerial. By equipping 38 species, ranging from 0.3 to 10,000 kg, with cutting-edge technology, we have uncovered explicit, previously unseen rules that govern animal movement. Our findings challenge conventional models of animal movement, such as random walks and Lévy flights, demonstrating that these models emerge as simplifications of more complex behaviours only visible at lower resolutions. The implications of our research extend across ecology, offering new insights into animal behaviour, environmental interaction, and potentially transforming predictive models in conservation biology. We believe that our work opens new avenues for interdisciplinary research and significantly advances our understanding of animal movement patterns.
Collaborator Contribution All partners provided data for one or more species and/or analytical techniques to help in the overall analysis and writing of the paper.
Impact The manuscript has been written and submitted to Nature. The collaboration involves mathematics and animal behaviour.
Start Year 2023