Science & Fiction-Febr, 2020 1 Off-Shore Fly Or Die
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
How Does Season Affect Passage Performance and Fatigue of Potamodromous Cyprinids? an Experimental Approach in a Vertical Slot Fishway
water Article How Does Season Affect Passage Performance and Fatigue of Potamodromous Cyprinids? An Experimental Approach in a Vertical Slot Fishway Filipe Romão 1,* ID , José M. Santos 2 ID , Christos Katopodis 3, António N. Pinheiro 1 and Paulo Branco 2 1 CEris-Civil Engineering for Research and Innovation for Sustainability, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal; [email protected] 2 CEF-Forest Research Centre, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal; [email protected] (J.M.S.); [email protected] (P.B.) 3 Katopodis Ecohydraulics Ltd., 122 Valence Avenue, Winnipeg, MB R3T 3W7, Canada; [email protected] * Correspondence: fi[email protected]; Tel.: +351-91-861-2529 Received: 11 February 2018; Accepted: 27 March 2018; Published: 28 March 2018 Abstract: Most fishway studies are conducted during the reproductive period, yet uncertainty remains on whether results may be biased if the same studies were performed outside of the migration season. The present study assessed fish passage performance of a potamodromous cyprinid, the Iberian barbel (Luciobarbus bocagei), in an experimental full-scale vertical slot fishway during spring (reproductive season) and early-autumn (non-reproductive season). Results revealed that no significant differences were detected on passage performance metrics, except for entry efficiency. However, differences between seasons were noted in the plasma lactate concentration (higher in early-autumn), used as a proxy for muscular fatigue after the fishway navigation. This suggests that, for potamodromous cyprinids, the evaluation of passage performance in fishways does not need to be restricted to the reproductive season and can be extended to early-autumn, when movements associated with shifts in home range may occur. -
Evolving Behaviour Trees for Supervisory Control of Robot Swarms
Evolving Behaviour Trees for Supervisory Control of Robot Swarms Elliott Hogg1y, Sabine Hauert1, David Harvey, Arthur Richards1 1Bristol Robotics Laboratory, University of Bristol, UK. E-mail: [email protected], [email protected] Abstract: Supervisory control of swarms is essential to their deployment in real world scenarios to both monitor their operation and provide guidance. We explore mechanisms by which humans might provide supervisory control to swarms and improve their performance. Rather than have humans guess the correct form of supervisory control, we use artificial evolution to learn effective human-readable strategies to help human operators understanding and performance when con- trolling swarms. These strategies can be thoroughly tested and can provide knowledge to be used in the future in a variety of scenarios. Behaviour trees are applied to represent human readable decision strategies which are produced through evolution. We investigate a simulated set of scenarios where a swarm of robots have to explore varying environments and reach sets of objectives. Effective supervisory control strategies are evolved to explore each environment using different local swarm behaviours. The evolved behaviour trees are animated alongside swarm simulations to enable clear under- standing of the supervisory strategies. We conclude by identifying the strengths in accelerated testing and the benefits of this approach for scenario exploration and training of human operators. Keywords: Human Swarm Interaction; Swarm; Artificial Evolution; Supervisory Control; Behaviour Trees 1. INTRODUCTION • Parametric: Adjusting the characteristics of an emer- gent behaviour [6, 12]. Growing interest in the use of swarm systems has led • Environmental: The operator highlights points of inter- to new questions regarding effective design for real-world est within an environment [8, 26]. -
Origins of Six Species of Butterflies Migrating Through Northeastern
diversity Article Origins of Six Species of Butterflies Migrating through Northeastern Mexico: New Insights from Stable Isotope (δ2H) Analyses and a Call for Documenting Butterfly Migrations Keith A. Hobson 1,2,*, Jackson W. Kusack 2 and Blanca X. Mora-Alvarez 2 1 Environment and Climate Change Canada, 11 Innovation Blvd., Saskatoon, SK S7N 0H3, Canada 2 Department of Biology, University of Western Ontario, Ontario, ON N6A 5B7, Canada; [email protected] (J.W.K.); [email protected] (B.X.M.-A.) * Correspondence: [email protected] Abstract: Determining migratory connectivity within and among diverse taxa is crucial to their conservation. Insect migrations involve millions of individuals and are often spectacular. However, in general, virtually nothing is known about their structure. With anthropogenically induced global change, we risk losing most of these migrations before they are even described. We used stable hydrogen isotope (δ2H) measurements of wings of seven species of butterflies (Libytheana carinenta, Danaus gilippus, Phoebis sennae, Asterocampa leilia, Euptoieta claudia, Euptoieta hegesia, and Zerene cesonia) salvaged as roadkill when migrating in fall through a narrow bottleneck in northeast Mexico. These data were used to depict the probabilistic origins in North America of six species, excluding the largely local E. hegesia. We determined evidence for long-distance migration in four species (L. carinenta, E. claudia, D. glippus, Z. cesonia) and present evidence for panmixia (Z. cesonia), chain (Libytheana Citation: Hobson, K.A.; Kusack, J.W.; Mora-Alvarez, B.X. Origins of Six carinenta), and leapfrog (Danaus gilippus) migrations in three species. Our investigation underlines Species of Butterflies Migrating the utility of the stable isotope approach to quickly establish migratory origins and connectivity in through Northeastern Mexico: New butterflies and other insect taxa, especially if they can be sampled at migratory bottlenecks. -
Mobility and Infectiousness in the Spatial Spread of an Emerging Fungal Pathogen
Received: 7 May 2020 | Accepted: 11 January 2021 DOI: 10.1111/1365-2656.13439 RESEARCH ARTICLE Mobility and infectiousness in the spatial spread of an emerging fungal pathogen Kate E. Langwig1 | J. Paul White2 | Katy L. Parise3 | Heather M. Kaarakka2 | Jennifer A. Redell2 | John E. DePue4 | William H. Scullon5 | Jeffrey T. Foster3 | A. Marm Kilpatrick6 | Joseph R. Hoyt1 1Department of Biological Sciences, Virginia Polytechnic Institute, Blacksburg, VA, USA; 2Wisconsin Department of Natural Resources, Madison, WI, USA; 3Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA; 4Michigan Department of Natural Resources, Baraga, MI, USA; 5Michigan Department of Natural Resources, Norway, MI, USA and 6Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA Correspondence Kate E. Langwig Abstract Email: [email protected] 1. Emerging infectious diseases can have devastating effects on host communities, caus- Funding information ing population collapse and species extinctions. The timing of novel pathogen arrival National Science Foundation, Grant/Award into naïve species communities can have consequential effects that shape the trajec- Number: DEB- 1115895, DEB- 1336290 and DEB- 1911853; U.S. Fish and Wildlife tory of epidemics through populations. Pathogen introductions are often presumed Service, Grant/Award Number: F17AP00591 to occur when hosts are highly mobile. However, spread patterns can be influenced Handling Editor: Isabella Cattadori by a multitude of other factors including host body condition and infectiousness. 2. White- nose syndrome (WNS) is a seasonal emerging infectious disease of bats, which is caused by the fungal pathogen Pseudogymnoascus destructans. Within- site transmission of P. destructans primarily occurs over winter; however, the influence of bat mobility and infectiousness on the seasonal timing of pathogen spread to new populations is unknown. -
Marine Ecology Progress Series 548:181
Vol. 548: 181–196, 2016 MARINE ECOLOGY PROGRESS SERIES Published April 21 doi: 10.3354/meps11623 Mar Ecol Prog Ser OPEN ACCESS Isotopes and genes reveal freshwater origins of Chinook salmon Oncorhynchus tshawytscha aggregations in California’s coastal ocean Rachel C. Johnson1,2,*, John Carlos Garza1,3, R. Bruce MacFarlane1,4, Churchill B. Grimes1,4, Corey C. Phillis5,8, Paul L. Koch6, Peter K. Weber7, Mark H. Carr2 1Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 110 Shaffer Road, Santa Cruz, CA 95060, USA 2Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, 110 Shaffer Road, Santa Cruz, CA 95060, USA 3Department of Ocean Sciences, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95060, USA 4Institute of Marine Sciences, University of California, Santa Cruz, 110 Shaffer Road, Santa Cruz, CA 95060, USA 5Department of Earth and Planetary Science, University of California, Berkeley, 307 McCone Hall, Berkeley, CA 94720, USA 6Department of Earth and Planetary Science, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95060, USA 7Glenn T. Seaborg Institute, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA 94550, USA 8Present address: Metropolitan Water District of Southern California, 1121 L St. Suite 900, Sacramento, CA 95814, USA ABSTRACT: The ability of salmon to navigate from the ocean back to their river of origin to spawn acts to reinforce local adaptation and maintenance of unique and heritable traits among salmon populations. Here, the extent to which Chinook salmon Oncorhynchus tshawytscha from the same freshwater breeding groups associate together in the ocean at regional and smaller-scale aggre- gations prior to homeward migration is evaluated. -
Expert Assessment of Stigmergy: a Report for the Department of National Defence
Expert Assessment of Stigmergy: A Report for the Department of National Defence Contract No. W7714-040899/003/SV File No. 011 sv.W7714-040899 Client Reference No.: W7714-4-0899 Requisition No. W7714-040899 Contact Info. Tony White Associate Professor School of Computer Science Room 5302 Herzberg Building Carleton University 1125 Colonel By Drive Ottawa, Ontario K1S 5B6 (Office) 613-520-2600 x2208 (Cell) 613-612-2708 [email protected] http://www.scs.carleton.ca/~arpwhite Expert Assessment of Stigmergy Abstract This report describes the current state of research in the area known as Swarm Intelligence. Swarm Intelligence relies upon stigmergic principles in order to solve complex problems using only simple agents. Swarm Intelligence has been receiving increasing attention over the last 10 years as a result of the acknowledgement of the success of social insect systems in solving complex problems without the need for central control or global information. In swarm- based problem solving, a solution emerges as a result of the collective action of the members of the swarm, often using principles of communication known as stigmergy. The individual behaviours of swarm members do not indicate the nature of the emergent collective behaviour and the solution process is generally very robust to the loss of individual swarm members. This report describes the general principles for swarm-based problem solving, the way in which stigmergy is employed, and presents a number of high level algorithms that have proven utility in solving hard optimization and control problems. Useful tools for the modelling and investigation of swarm-based systems are then briefly described. -
Causes and Consequences of Partial Migration in Elk Kristin Jennifer Barker University of Montana, Missoula
University of Montana ScholarWorks at University of Montana Graduate Student Theses, Dissertations, & Graduate School Professional Papers 2018 Home Is Where the Food Is: Causes and Consequences of Partial Migration in Elk Kristin Jennifer Barker University of Montana, Missoula Let us know how access to this document benefits ouy . Follow this and additional works at: https://scholarworks.umt.edu/etd Part of the Natural Resources and Conservation Commons Recommended Citation Barker, Kristin Jennifer, "Home Is Where the Food Is: Causes and Consequences of Partial Migration in Elk" (2018). Graduate Student Theses, Dissertations, & Professional Papers. 11152. https://scholarworks.umt.edu/etd/11152 This Thesis is brought to you for free and open access by the Graduate School at ScholarWorks at University of Montana. It has been accepted for inclusion in Graduate Student Theses, Dissertations, & Professional Papers by an authorized administrator of ScholarWorks at University of Montana. For more information, please contact [email protected]. HOME IS WHERE THE FOOD IS: CAUSES AND CONSEQUENCES OF PARTIAL MIGRATION IN ELK By KRISTIN J. BARKER B.A., Western State Colorado University, Gunnison, Colorado, 2012 B.A., The University of Georgia, Athens, Georgia, 2006 Thesis presented in partial fulfillment of the requirements for the degree of Master of Science in Wildlife Biology The University of Montana Missoula, MT May 2018 Approved by: Scott Whittenburg, Dean of The Graduate School Graduate School Dr. Michael S. Mitchell, Chair Montana Cooperative Wildlife Research Unit Dr. Kelly M. Proffitt Montana Fish, Wildlife and Parks Dr. Chad J. Bishop Wildlife Biology Program Dr. Creagh W. Breuner Organismal Biology and Ecology Program Dr. -
Swarm Intelligence Among Humans the Case of Alcoholics
Swarm Intelligence among Humans The Case of Alcoholics Andrew Schumann1 and Vadim Fris2 1Department of Cognitivistics, University of Information Technology and Management in Rzeszow, Sucharskiego 2, 35-225, Rzeszow, Poland 2Private Health Unitary Enterprise “Iscelenie”, Kazinca 120, 220000 Minsk, Belarus Keywords: Swarm Intelligence, Swarm Computing, Alcoholic, Illocutionary. Abstract: There are many forms of swarm behaviour, such as swarming of insects, flocking of birds, herding of quadrupeds, and schooling of fish. Sometimes people behave unconsciously and this behaviour of them has the same patterns as behaviour of swarms. For instance, pedestrians behave as herding or flocking, aircraft boarding passengers behave as ant colony, people in escape panic behave as flocking, etc. In this paper we propose a swarm model of people with an addictive behaviour. In particular, we consider small groups of alcohol-dependent people drinking together as swarms with a form of intelligence. In order to formalize this intelligence, we appeal to modal logics K and its modification K'. The logic K is used to formalize preference relation in the case of lateral inhibition in distributing people to drink jointly and the logic K' is used to formalize preference relation in the case of lateral activation in distributing people to drink jointly. 1 INTRODUCTION mammals, too, e.g. among naked mole-rats (Heterocephalus glaber sp.). In one colony they Usually, a social behaviour is understood as a have only one queen and one to three males to synonymous to a collective animal behaviour. It is reproduce, while other members of the colony are claimed that there are many forms of this behaviour just workers (Jarvis, 1981). -
Foraging Paper
1 Foraging on the move Kate Behrmana, Andrew Berdahlb, Steven Ladec, Liliana Salvadord, Allison Shawd (names in alphabetical order by last name) a Department of Ecology, Evolution and Behavior, University of Texas at Austin, USA b Department of Physics and Astronomy, University of Calgary, Canada c Nonlinear Physics Centre, Research School of Physics and Engineering, Australian National University, AU d Department of Ecology and Evolutionary Biology, Princeton University, USA proposed a mathematical model for analyzing the wave front Abstract— Many ungulate species embark on migrations where pattern during wildebeest migration and investigated the they are constantly foraging as they move. This means individuals properties of spatial distribution and stability of the front using have to simultaneously balance several demands: finding the best self-organization theory. resources, maintaining the cohesion of the group, and migrating in a While the existing studies of mammalian migration are certain direction. While there is a vast literature on both flocking and mainly focused on groups of animals, studies in classical optimal foraging, there has been no work done to understand how animals should trade off the decision to flock or forage (since it is foraging theory, in contrast, focus on a single individual. difficult to do both simultaneously) during migration. To address this Classical foraging theory describes the payoffs that an question, we developed an individual-based model and implemented individual receives from implementing different strategies for a genetic algorithm to find the best decision-rule for switching searching for and processing food. This body of theory between foraging and flocking, under a variety of parameter settings. -
An Equation of State for Insect Swarms Michael Sinhuber1,3,4, Kasper Van Der Vaart1,4, Yenchia Feng1, Andrew M
www.nature.com/scientificreports OPEN An equation of state for insect swarms Michael Sinhuber1,3,4, Kasper van der Vaart1,4, Yenchia Feng1, Andrew M. Reynolds2 & Nicholas T. Ouellette1* Collective behaviour in focks, crowds, and swarms occurs throughout the biological world. Animal groups are generally assumed to be evolutionarily adapted to robustly achieve particular functions, so there is widespread interest in exploiting collective behaviour for bio-inspired engineering. However, this requires understanding the precise properties and function of groups, which remains a challenge. Here, we demonstrate that collective groups can be described in a thermodynamic framework. We defne an appropriate set of state variables and extract an equation of state for laboratory midge swarms. We then drive swarms through “thermodynamic” cycles via external stimuli, and show that our equation of state holds throughout. Our fndings demonstrate a new way of precisely quantifying the nature of collective groups and provide a cornerstone for potential future engineering design. Organisms on every size scale, from single-celled1 to highly complex2, regularly come together in groups. In many cases, such aggregations are collective, in that the group as a whole displays properties and functionality distinct from those of its individual members or simply their linear sum3,4. It is generally assumed that since evolution has led so many diferent kinds of animals to behave collectively, the performance of collective groups at whatever task they seek to achieve ought to be well beyond the capabilities of a single individual5, while also being robust to uncertain natural environments 6,7 and operating without the need for top-down control 8. -
THE INTERACTION BETWEEN MIGRATION and DISEASE in the FALL ARMYWORM, SPODOPTERA FRUGIPERDA Aislinn J
THE INTERACTION BETWEEN MIGRATION AND DISEASE IN THE FALL ARMYWORM, SPODOPTERA FRUGIPERDA Aislinn J. Pearson BA(Hons) MSc DECEMBER 2016 LANCSTER ENVIRONMENT CENTRE, LANCASTER UNIVERSITY in collaboration with ROTHAMSTED RESEARCH ii THE INTERACTION BETWEEN MIGRATION AND DISEASE IN THE FALL ARMYWORM, SPODOPTERA FRUGIPERDA Aislinn J. Pearson BA(Hons) MSc DECEMBER 2016 A thesis submitted to Lancaster University in fulfilment of the requirements for the degree of Doctor of Philosophy. PROEJCT SUPERVISORS: Professor Kenneth Wilson Insect Parasite Ecology Group, Lancaster Environment Centre, Lancaster University Associate Professor Jason chapman AgroEcology, Rothamsted Research Dr Christopher M Jones AgroEcology, Rothamsted Research Dr Robert I. Graham Insect Parasite Ecology Group, Lancaster Environment Centre, Lancaster University Also affiliated with the Department of Crop and Environment Sciences, Harper Adams University iii DECLARATION AND FUNDING STATEMENT I declare that the work presented in this thesis is my own, except where acknowledged, and has not been submitted elsewhere for the award of a degree of Doctor of Philosophy. This work as funded by the BBSRC as a part of the Doctoral Training Partnership scheme awarded to Lancaster University and Rothamsted Research in conjunction with Reading University. Aislinn J. Pearson 31st December 2016 iv ABSTRACT Every year billions of insects undertake long‐distance seasonal migrations, moving hundreds of tonnes of biomass across the globe and providing key ecological services. Yet we know very little about the complex migratory movements of these tiny animal migrants and less still about what causes their populations to fluctuate in space and time. Understanding the reason for these population level changes is important, especially for insect species that are agricultural pests and disease vectors. -
A Catalogue of Bacterial Swarm Behaviour
RESEARCH HIGHLIGHTS Nature Reviews Physics | https://doi.org/10.1038/s42254-020-0172- x | Published online 7 April 2020 ACTIVE MATTER A catalogue of bacterial swarm behaviour Even under adverse conditions length of its cells can be controlled such as starvation, some bacteria by known genetic manipulations. can efficiently expand and move This controllability enabled their colonies by rapidly migrating Be’er et al. to select between four en masse, a process known as cell aspect ratios for their colonies. Credit: Adapted from Be’er, A. et al. Commun. Phys. swarming. Although bacterial They recorded the motion of the 3, 66 (2020), CC BY 4.0 colonies have been studied by colonies on a surface for a range of physicists for years, there is not colony densities. Very sparse colonies of similar self-propelled rods with yet a complete picture of how the of B. subtilis do not move, whereas known interactions indicates that physical properties of the cells, very dense colonies are jammed. the bacterial behaviour is domina- such as their shape, govern the However, for intermediate densities, ted by short-range interactions. behaviour of the swarm. Now, cell aspect ratio plays a role in In contrast to long cells, shorter writing in Communications Physics, the colony’s behaviour. Longer cells swarm in clusters that have Avraham Be’er and colleagues fill cells form high-density clusters uniform density across the surface in another piece of the puzzle, of moving cells that are separated (lower panels of figure). Be’er et al. cataloguing the swarming behaviour by low- density regions containing posit that this uniform density of the rod-shaped Bacillus subtilis, only immobile cells (upper left arises because long-range hydro- as a function of the density of panel of figure).