Marina Papadopoulou

ORCID: 0000-0002-6478-8365
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About
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Research Areas
  • Distributed Control Multi-Agent Systems
  • Ecosystem dynamics and resilience
  • Animal Behavior and Reproduction
  • Insect and Arachnid Ecology and Behavior
  • Modular Robots and Swarm Intelligence
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Species Distribution and Climate Change
  • stochastic dynamics and bifurcation
  • Ecology and Vegetation Dynamics Studies
  • Primate Behavior and Ecology
  • Slime Mold and Myxomycetes Research
  • Opportunistic and Delay-Tolerant Networks
  • Evolutionary Game Theory and Cooperation
  • Sleep and related disorders
  • Anthropological Studies and Insights
  • Sleep and Wakefulness Research
  • Contemporary Sociological Theory and Practice
  • Child and Animal Learning Development
  • Human-Animal Interaction Studies
  • UAV Applications and Optimization
  • Robotic Path Planning Algorithms
  • Evacuation and Crowd Dynamics
  • Evolution and Genetic Dynamics
  • Wildlife Ecology and Conservation
  • Forest Ecology and Biodiversity Studies

Swansea University
2022-2025

University of Groningen
2018-2024

Università degli Studi della Tuscia
2024

Imperial College London
2018-2020

Bird flocks under predation demonstrate complex patterns of collective escape. These may emerge by self-organization from local interactions among group-members. Computational models have been shown to be valuable for identifying what behavioral rules govern such individuals during motion. However, our knowledge escape is limited the lack quantitative data on bird in field. In present study, we analyze first GPS trajectories pigeons airborne attacked a robotic falcon order build...

10.1371/journal.pcbi.1009772 article EN cc-by PLoS Computational Biology 2022-01-10

Abstract A single sheepdog can bring together and manoeuvre hundreds of sheep from one location to another. Engineers ecologists are fascinated by this herding because the potential it provides for ‘bio‐herding’: a biologically inspired animal groups robots. Although many algorithms have been proposed, most studied via simulation. There variety ecological problems where management wild is currently impossible, dangerous and/or costly humans manage directly, which may benefit bio‐herding...

10.1111/2041-210x.14049 article EN cc-by Methods in Ecology and Evolution 2023-01-02

Complex patterns of collective behaviour may emerge through self-organization, from local interactions among individuals in a group. To understand what behavioural rules underlie these patterns, computational models are often necessary. These have not yet been systematically studied for bird flocks under predation. Here, we study airborne homing pigeons attacked by robotic falcon, combining empirical data with species-specific model escape. By analysing GPS trajectories flocking individuals,...

10.1098/rsos.211898 article EN cc-by Royal Society Open Science 2022-02-01

Most studies of collective animal behaviour rely on short-term observations, and comparisons across different species contexts are rare. We therefore have a limited understanding intra- interspecific variation in over time, which is crucial if we to understand the ecological evolutionary processes that shape behaviour. Here, study motion four species: shoals stickleback fish ( Gasterosteus aculeatus ), flocks homing pigeons Columba livia herd goats Capra aegagrus hircus ) troop chacma...

10.1098/rstb.2022.0068 article EN cc-by Philosophical Transactions of the Royal Society B Biological Sciences 2023-02-20

Proximate mechanisms of ‘social ageing’, i.e. shifts in social activity and narrowing networks, are understudied. It is proposed that energetic deficiencies (which often seen older individuals) may restrict movement and, turn, sociality, but empirical tests these intermediary lacking. Here, we study wild chacma baboons ( Papio ursinus ), combining measures faecal triiodothyronine (fT3), a non-invasive proxy for energy availability, high-resolution GPS data (movement proximity) accelerometry...

10.1098/rstb.2022.0466 article EN cc-by Philosophical Transactions of the Royal Society B Biological Sciences 2024-10-28

The amount and quality of sleep individuals get can impact various aspects human non-human animal health, ultimately affecting fitness. For wild animals that in groups, may disturb one another, influencing quantity, but this aspect social has been understudied due to methodological challenges. Here, we test the hypothesis individual's dominance affect opportunities, by studying patterns a troop chacma baboons (Papio ursinus), species with strong hierarchical structure. First, show troop's...

10.1101/2025.01.06.629345 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2025-01-06

Abstract How individuals in a group move relative to one another can influence both their survival and fitness. Spatial positioning has been well studied baboons (Papio spp.), which travel collectively line formations or "progressions". Early studies of baboon progressions presented contradictory findings on the progressions’ order – some reporting random individuals, while others non-random positioning, thought protect more vulnerable group-members. Here, we revisit this topic use...

10.1093/beheco/araf022 article EN cc-by Behavioral Ecology 2025-03-12

Conservation biology was founded on the idea that efforts to save nature depend a scientific understanding of how it works. It sought apply ecological principles conservation problems. We investigated whether relationship between these fields has changed over time through machine reading full texts 32,000 research articles published in 16 ecology and journals. examined changes topics both have evolved from 2000 2014. As matured, its focus shifted social political aspects conservation. The 2...

10.1111/cobi.13435 article ES cc-by Conservation Biology 2019-11-08

Moving in groups offers animals protection against predation. When under attack, grouped individuals often turn collectively to evade a predator, which sometimes makes them rapidly change their relative positions the group. In bird flocks particular, quick reshuffling of flock members confuses challenging its targeting single individual. This confusion is considered be greater when internal structure group changes faster (i.e. ‘diffusion’ higher). Diffusion may increase individual birds with...

10.3389/fevo.2023.1198248 article EN cc-by Frontiers in Ecology and Evolution 2023-07-11

Abstract Sometimes the normal course of events is disrupted by a particularly swift and profound change. Historians have often referred to such changes as “revolutions”, and, though they identified many them, rarely supported their claims with statistical evidence. Here, we present method identify revolutions based on measure multivariate rate change called Foote novelty. We define those periods time when value this is, non-parametric test, shown significantly exceed background rate. Our...

10.1057/s41599-019-0371-1 article EN cc-by Palgrave Communications 2020-01-07

Abstract European starlings perform a great diversity of patterns collective behaviour when hunted by aerial predators; their large flocks are changing shape, size, and internal structure continuously rapidly, but how these emerge self-organization is still unknown. Here, we disentangle the emergence several interconnected escape in starlings. We combine video footage starling pursued robotic predator, RobotFalcon, with simulations new data-driven 3-dimentional agent-based model. Our...

10.1101/2024.10.27.620514 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2024-10-28

Abstract Collective motion, that is the coordinated spatial and temporal organisation of individuals, a core element in study collective animal behaviour. The self‐organised properties how group moves influence its various behavioural ecological processes, such as predator–prey dynamics, social foraging migration. However, little known about inter‐ intra‐specific variation motion. Despite significant advancement high‐resolution tracking multiple individuals within groups, providing motion...

10.1111/2041-210x.14460 article EN cc-by-nc Methods in Ecology and Evolution 2024-11-25

Abstract Bird flocks under predation demonstrate complex patterns of collective escape. These may emerge by self-organization from simple interactions among group-members. Computational models have been shown to be valuable for identifying the behavioral rules that govern these individuals during motion. However, our knowledge such escape is limited lack quantitative data on bird in field. In present study, we analyze first dataset GPS trajectories pigeons airborne attacked a robotic falcon...

10.1101/2021.07.04.450902 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-07-05

Sometimes the normal course of events is disrupted by a particularly swift and profound change. Historians have often referred to such changes as "revolutions" and, though they identified many them, rarely supported their claims with statistical evidence. Here we present method identify revolutions based on measure multivariate rate change called Foote Novelty. We define those periods time when value this measure, F, can, non-parametric test, be shown significantly greater than background...

10.2139/ssrn.3141154 article EN SSRN Electronic Journal 2018-01-01
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