Group-Foraging and Information Transfer in European Shags
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Simulation of Collective Motion of Self Propelled Particles in Homogeneous and Heterogeneous Medium
IJCSNS International Journal of Computer Science and Network Security, VOL.18 No.11, November 2018 109 Simulation of Collective Motion of Self Propelled Particles in Homogeneous and Heterogeneous Medium Israr Ahmed†, Inayatullah Soomro††, Syed Baqer Shah†††, Hisamuddin Shaikh†††† SALU Khairpur Pakistan Abstract Large groups of animals moves very long distances and The concept of self-propelled particles is used to study the they cross rivers and forest [5]. Inspite of these facts, there collective motion of different organisms such as flocking of birds, has been limited research done on the effect of swimming of schools of fish or migrating of bacteria. The heterogeneous media on the collective behaviour of self- collective motion of self-propelled particles is investigated in the propelled particles [6]. Avoidance behaviour of the presence of obstacles and without obstacles. A comparison of the effects of interaction radius, speed and noise on the collective particle from the obstacle was simulated by the croft et al motion of self-propelled particles is conducted. It is found that in [7]. In this work measurement of effect was carried out the presence of obstacles, mean square displacement of the when a single particle collided with the static obstacles. It particles shows large fluctuation, whereas without obstacles was found that there are higher chances of collision of fluctuation is less. It is also shown that in the presence of the social interactions with the obstacles. This is due to the obstacles, an optimal noise, which maximizes the collective huge supposition and the occurrence of large parameter motion of the particles, exists values. -
Individual Versus Collective Cognition in Social Insects
Individual versus collective cognition in social insects Ofer Feinermanᴥ, Amos Kormanˠ ᴥ Department of Physics of Complex Systems, Weizmann Institute of Science, 7610001, Rehovot, Israel. Email: [email protected] ˠ Institut de Recherche en Informatique Fondamentale (IRIF), CNRS and University Paris Diderot, 75013, Paris, France. Email: [email protected] Abstract The concerted responses of eusocial insects to environmental stimuli are often referred to as collective cognition on the level of the colony.To achieve collective cognitiona group can draw on two different sources: individual cognitionand the connectivity between individuals.Computation in neural-networks, for example,is attributedmore tosophisticated communication schemes than to the complexity of individual neurons. The case of social insects, however, can be expected to differ. This is since individual insects are cognitively capable units that are often able to process information that is directly relevant at the level of the colony.Furthermore, involved communication patterns seem difficult to implement in a group of insects since these lack clear network structure.This review discusses links between the cognition of an individual insect and that of the colony. We provide examples for collective cognition whose sources span the full spectrum between amplification of individual insect cognition and emergent group-level processes. Introduction The individuals that make up a social insect colony are so tightly knit that they are often regarded as a single super-organism(Wilson and Hölldobler, 2009). This point of view seems to go far beyond a simple metaphor(Gillooly et al., 2010)and encompasses aspects of the colony that are analogous to cell differentiation(Emerson, 1939), metabolic rates(Hou et al., 2010; Waters et al., 2010), nutrient regulation(Behmer, 2009),thermoregulation(Jones, 2004; Starks et al., 2000), gas exchange(King et al., 2015), and more. -
Behavioural Plasticity and the Transition to Order in Jackdaw Flocks
ARTICLE https://doi.org/10.1038/s41467-019-13281-4 OPEN Behavioural plasticity and the transition to order in jackdaw flocks Hangjian Ling 1,2, Guillam E. Mclvor 3, Joseph Westley3, Kasper van der Vaart1, Richard T. Vaughan4, Alex Thornton 3* & Nicholas T. Ouellette 1* Collective behaviour is typically thought to arise from individuals following fixed interaction rules. The possibility that interaction rules may change under different circumstances has 1234567890():,; thus only rarely been investigated. Here we show that local interactions in flocks of wild jackdaws (Corvus monedula) vary drastically in different contexts, leading to distinct group- level properties. Jackdaws interact with a fixed number of neighbours (topological interac- tions) when traveling to roosts, but coordinate with neighbours based on spatial distance (metric interactions) during collective anti-predator mobbing events. Consequently, mobbing flocks exhibit a dramatic transition from disordered aggregations to ordered motion as group density increases, unlike transit flocks where order is independent of density. The relationship between group density and group order during this transition agrees well with a generic self- propelled particle model. Our results demonstrate plasticity in local interaction rules and have implications for both natural and artificial collective systems. 1 Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA. 2 Department of Mechanical Engineering, University of Massachusetts Dartmouth, North Dartmouth, -
Rearing Northern Gannets Sula Bassana: a Case Studv in Shetland
MARINE ECOLOGY PROGRESS SERIES Published August 20 Mar Ecol Prog Ser 1 At-sea-activity and foraging efficiency in chick- rearing northern gannets Sula bassana: a case studv in Shetland Stefan Garthell*,David Gremilletl.**, Robert W. ~urness~ 'Institut für Meereskunde, Abteilung Meereszoologie, Düsternbrooker Weg 20. D-24105 Kiel. Germany 20rnithology Group, Graham Kerr Building, University of Glasgow, Glasgow G12 800,United Kingdom ABSTRACT Chick-reanng northern gannets Sula bassana from Hermaness, Shetland (UK), were equipped with both stomach temperature loggers and external temperature loggers (attached to the leg). Detrirnental device effects on the birds could not be detected. Three complete data Sets covenng several foraging tnps by 3 birds showed that the logger-equipped birds spent 39 to 49% of their time in the colony. 22 to 30% flying and 22 to 34 % swimming. Foraging trips lasted between 2 h 45 min and 27 h 08 min. with a mean length of 13 h. Maximum foraging range was estimated to be 128 km. Dives lasted between 1 s and 7.5 s, with a mean of 4.4 s. Median food quantity swallowed per feeding event was 101 g (n = 32), with 745 g being the maximum. No foraging activity occurred at night. Catch per unit effort was assessed to range between 0.9 and 2.8 g fish min-' flying and between 0.5 and 1.3 g fish rnin-' at sea. Foraging efficiency vaned between 0.6 (negative energy budget) and 1.5 (positive energy budget). More data on foraging efficiency, preferably from different colonies and different years, could show how efficiently this top predator utilises food resources. -
Collective Motion from Local Attraction Daniel Strömbom
Collective motion from local attraction Daniel Strömbom To cite this version: Daniel Strömbom. Collective motion from local attraction. Journal of Theoretical Biology, Elsevier, 2011, 283 (1), pp.145. 10.1016/j.jtbi.2011.05.019. hal-00719499 HAL Id: hal-00719499 https://hal.archives-ouvertes.fr/hal-00719499 Submitted on 20 Jul 2012 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Author’s Accepted Manuscript Collective motion from local attraction Daniel Strömbom PII: S0022-5193(11)00261-X DOI: doi:10.1016/j.jtbi.2011.05.019 Reference: YJTBI6483 To appear in: Journal of Theoretical Biology www.elsevier.com/locate/yjtbi Received date: 15 September 2010 Revised date: 4 May 2011 Accepted date: 9 May 2011 Cite this article as: Daniel Strömbom, Collective motion from local attraction, Journal of Theoretical Biology, doi:10.1016/j.jtbi.2011.05.019 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. -
The Foraging Behaviour of Seabirds: Defining and Predicting Home Range Areas
The foraging behaviour of seabirds: defining and predicting home range areas Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy Louise Mary Soanes August 2013 Abstract In recent years, seabird tracking studies have become ever more popular as a means of informing and evaluating the effectiveness of marine protected areas and offshore energy developments as well as in understanding the ecology and behaviour of seabirds. This study uses tracking data collected from the European shag, Black- legged kittiwake, Northern gannet and Brown booby to identify important foraging areas around four seabird colonies located in the UK, Channel Islands and Anguilla and examines the impact of offshore renewable energy developments in the Channel Islands. As well as providing examples of how seabird tracking data can be useful in informing marine spatial planning, this study also considers the impact that sample size and the sample composition may have on the foraging areas predicted for any colony. Small sample sizes are a common feature of tracking studies, often due to logistical and financial constraints, meaning that seabirds are often tracked over short spatial and temporal scales which may not fully represent the important foraging areas and behaviours of the colony or individual. This study therefore provides recommendations to improve the predictions of area use and foraging strategy for future tracking studies to ensure the most representative and useful data is collected -
Review of Evidence for Identified Seabird Aggregations
JNCC Report No: 537 Review of evidence for identified seabird aggregations Aonghais S.C.P. Cook, David A. Still, Elizabeth M. Humphreys, Lucy J. Wright June 2015 © JNCC, Peterborough 2015 ISSN 0963 8901 Please note: due to the age of this document, some of the links contained within the text may no longer function. For further information please contact: Joint Nature Conservation Committee Monkstone House City Road Peterborough PE1 1JY www.jncc.defra.gov.uk This report should be cited as: Cook, Aonghais S.C.P., Still, David A., Humphreys, Elizabeth M. & Wright, Lucy J. 2015. Review of evidence for identified seabird aggregations. JNCC Report No 537. JNCC, Peterborough. Summary As part of the process of identifying potential Marine Protected Areas, Kober et al (2010, 2012) undertook a detailed analysis of seabird data collected during surveys within the British Fishery Limit and stored within the European Seabirds At Sea (ESAS) database. These analyses identified 42 key seabird aggregations around the coast of the UK. The aim of this report is to review some of the important areas identified in light of other independent information, in order to give the most robust and complete evidence-base possible (given current knowledge) on which to base any future decisions about these areas. We consider a subset of 25 of the 42 aggregations identified by Kober et al (2010, 2012), which cover both breeding and wintering aggregations as well as two multi-species assemblages. The 25 areas are a shortlist of areas considered by the Statutory Nature Conservation Bodies for designation as marine SPAs for seabirds (note: this list might not contain all areas under consideration, nor will all of these areas necessarily become SPAs in the future). -
Inferring the Structure and Dynamics of Interactions in Schooling Fish
Inferring the structure and dynamics of interactions in schooling fish Yael Katza, Kolbjørn Tunstrøma, Christos C. Ioannoua, Cristián Huepeb, and Iain D. Couzina,1 aDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544; and b614 North Paulina Street, Chicago, IL 60622 Edited* by Simon A. Levin, Princeton University, Princeton, NJ, and approved June 28, 2011 (received for review May 12, 2011) Determining individual-level interactions that govern highly coor- Recent empirical studies (19–26) have collected large datasets dinated motion in animal groups or cellular aggregates has been a of freely interacting individuals in order to infer the rules under- long-standing challenge, central to understanding the mechanisms lying their emergent collective motion. Ballerini et al. (22) and and evolution of collective behavior. Numerous models have been Cavagna et al. (26) have used the spatial structure of starling flocks proposed, many of which display realistic-looking dynamics, but to infer that starlings use topological rather than metric interac- nonetheless rely on untested assumptions about how individuals tions and that information is transferred over large distances within integrate information to guide movement. Here we infer behavior- flocks in a scale-free manner. High-temporal-resolution data from al rules directly from experimental data. We begin by analyzing tra- several species have been analyzed by employing model-based jectories of golden shiners (Notemigonus crysoleucas) swimming approaches. Lukeman et al. (25) fit data on the spatial conurations in two-fish and three-fish shoals to map the mean effective forces of surf scoters to a zonal model and identified best-fit parameter as a function of fish positions and velocities. -
Collective Turns in Jackdaw Flocks: Kinematics and Information Transfer
ORE Open Research Exeter TITLE Collective turns in jackdaw flocks: kinematics and information transfer AUTHORS Ling, H; Mclvor, GE; Westley, J; et al. JOURNAL Journal of The Royal Society Interface DEPOSITED IN ORE 01 November 2019 This version available at http://hdl.handle.net/10871/39459 COPYRIGHT AND REUSE Open Research Exeter makes this work available in accordance with publisher policies. A NOTE ON VERSIONS The version presented here may differ from the published version. If citing, you are advised to consult the published version for pagination, volume/issue and date of publication Collective turns in jackdaw flocks Collective turns in jackdaw flocks: kinematics and information transfer Hangjian Ling1,4, Guillam E. Mclvor2, Joseph Westley2, Kasper van der Vaart1, Jennifer Yin1, Richard T. Vaughan3, Alex Thornton2*, Nicholas T. Ouellette1* 1Department of Civil and Environmental Engineering, Stanford University, Stanford, CA USA; 2Center for Ecology and Conservation, University of Exeter, Penryn, UK; 3School of Computing Science, Simon Fraser University, Burnaby, Canada 4Department of Mechanical Engineering, University of Massachusetts Dartmouth, North Dartmouth, MA USA; Correspondence: Nicholas T. Ouellette, Email: [email protected] Alex Thornton, Email: [email protected] Abstract: The rapid, cohesive turns of bird flocks are one of the most vivid examples of collective behaviour in nature, and have attracted much research. 3D imaging techniques now allow us to characterise the kinematics of turning and their group-level consequences in precise detail. We measured the kinematics of flocks of wild jackdaws executing collective turns in two contexts: during transit to roosts and anti-predator mobbing. All flocks reduced their speed during turns, likely due to constraints on individual flight capability. -
Algorithmic Requirements for Swarm Intelligence in Differently Coupled Collective Systems
Chaos, Solitons & Fractals 50 (2013) 100–114 Contents lists available at SciVerse ScienceDirect Chaos, Solitons & Fractals Nonlinear Science, and Nonequilibrium and Complex Phenomena journal homepage: www.elsevier.com/locate/chaos Algorithmic requirements for swarm intelligence in differently coupled collective systems Jürgen Stradner a, Ronald Thenius a, Payam Zahadat a, Heiko Hamann a,b, Karl Crailsheim a, ⇑ Thomas Schmickl a, a Artificial Life Laboratory at the Department of Zoology, Karl-Franzens University Graz, Universitätsplatz 2, A-8010 Graz, Austria b Department of Computer Science, University of Paderborn, Zukunftsmeile 1, 33102 Paderborn, Germany article info abstract Article history: Swarm systems are based on intermediate connectivity between individuals and dynamic Available online 7 March 2013 neighborhoods. In natural swarms self-organizing principles bring their agents to that favorable level of connectivity. They serve as interesting sources of inspiration for control algorithms in swarm robotics on the one hand, and in modular robotics on the other hand. In this paper we demonstrate and compare a set of bio-inspired algorithms that are used to control the collective behavior of swarms and modular systems: BEECLUST, AHHS (hormone controllers), FGRN (fractal genetic regulatory networks), and VE (virtual embryo- genesis). We demonstrate how such bio-inspired control paradigms bring their host sys- tems to a level of intermediate connectivity, what delivers sufficient robustness to these systems for collective decentralized control. In parallel, these algorithms allow sufficient volatility of shared information within these systems to help preventing local optima and deadlock situations, this way keeping those systems flexible and adaptive in dynamic non-deterministic environments. Ó 2013 Elsevier Ltd. -
Pentland Firth and Orkney Waters Enabling Actions Report: Ornithological Cumulative Impact Assessment Framework
Pentland Firth and Orkney Waters Enabling Actions Report Ornithological Cumulative Impact Assessment Framework Conservation Management Plan 0 © Crown Copyright 2013 Published by The Crown Estate. This report is available on The Crown Estate website at: www.thecrownestate.co.uk Dissemination Statement This publication (excluding the logos) may be re-used free of charge in any format or medium. It may only be re-used accurately and not in a misleading context. The material must be acknowledged as The Crown Estate copyright and use of it must give the title of the source publication. Where third party copyright material has been identified, further use of that material requires permission from the copyright holders concerned. Disclaimer The opinions expressed in this report are entirely those of the authors and do not necessarily reflect the view of The Crown Estate, and The Crown Estate is not liable for the accuracy of the information provided or responsible for any use of the content. ORNITHOLOGICAL CUMULATIVE IMPACT ASSESSMENT FRAMEWORK PENTLAND FIRTH AND ORKNEY WATERS WAVE & TIDAL PROJECTS This report has been published by The Crown Estate as part of our enabling work to support development of the Pentland Firth and Orkney waters wave and tidal projects. This work aims to accelerate and de-risk the development process, looking at a range of key issues. Work is selected, commissioned and steered by The Crown Estate in close discussion with the project developers. For more information on The Crown Estate’s work in wave and tidal energy, see www.thecrownestate.co.uk/energy/wave-and-tidal/ or contact [email protected]. -
Intermittent Collective Dynamics Emerge from Conflicting Imperatives in Sheep Herds
Intermittent collective dynamics emerge from conflicting imperatives in sheep herds Francesco Ginellia,1,2, Fernando Peruanib,2, Marie-Helène Pillotc,d, Hugues Chatée,f, Guy Theraulazc,d, and Richard Bonc,d aPhysics Department and Institute for Complex Systems and Mathematical Biology, King’s College, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom; bLaboratoire J.A. Dieudonné, Université de Nice Sophia Antipolis, UMR CNRS 6621, 06108 Nice Cedex 02, France; cCentre de Recherches sur la Cognition Animale, UMR-CNRS 5169, Universit Paul Sabatier, 31062 Toulouse Cedex 9, France; dCNRS, Centre de Recherches sur la Cognition Animale, F-31062 Toulouse, France; eService de Physique de l’État Condensé, CNRS UMR 3680, Commissariat à l’énergie atomique et aux énergies alternatives (CEA)–Saclay, 91191 Gif-sur-Yvette, France; and fBeijing Computational Science Research Center, Beijing 100094, China Edited by Giorgio Parisi, University of Rome, Rome, Italy, and approved August 18, 2015 (received for review February 25, 2015) Among the many fascinating examples of collective behavior few individuals that propagates to the whole group. In many exhibited by animal groups, some species are known to alternate cases, the behavioral shift occurs without any perceived threat in slow group dispersion in space with rapid aggregation phe- the neighborhood, resulting in a spontaneous transition at the nomena induced by a sudden behavioral shift at the individual collective level that can be interpreted as a consequence of ran- level. We study this phenomenon quantitatively in large groups of dom individual decisions. Such alternating behavioral phases at grazing Merino sheep under controlled experimental conditions. the collective level have also been reported in refs.