How Do Ants Navigate in Natural Environments?

Total Page:16

File Type:pdf, Size:1020Kb

How Do Ants Navigate in Natural Environments? How do ants navigate in natural environments? Antoine Wystrach Learning walks scan scan scan scan scan Mueller and Wehner 2010 Curr biol Path Integration Fleishmann et al., 2018 Curr biol scan scan scan scan scan Mueller and Wehner 2010 Curr biol Path Integration Food item Ophion obscuratus. Credit: Matthias Lenke/Flickr.co Path Integration Food item Path Integration Food item Wehner 2003. J Comp Physiol A Path - Accumulate errors Integration Food item - Accumulate errors Path - Passive displacement Integration Food item Wehner and Srinivasan 1981. J. comp. phys Path Systematic Integration Search Food item Wehner and Räber 1979. Experencia Cartwright and Collett 1983. J. comp. phys Path Visual scene Systematic Integration navigation Search Food item Wehner and Räber 1979. Experencia Cartwright and Collett 1983. J. comp. phys Path Visual scene Systematic Integration navigation Search Food item Path Visual scene Systematic Integration navigation Search Wehner 2008. Myrmec. news Path Visual scene Systematic navigation Integration Search Wehner 2008. Myrmec. news Gigantiops destructor Gigantiops destructor Path Visual scene Systematic Integration navigation Search Beugnon et al., 2005. J. insect behav. Gigantiops destructor Gigantiops destructor Kohler and Wehner 2005. Neurobiol. Learn. Mem. Melophorus bagoti Route following Kohler and Wehner 2005. Neurobiol. Learn. Mem. Melophorus bagoti Melophorus bagoti Route following Kohler and Wehner 2005. Neurobiol. Learn. Mem. Melophorus bagoti Landmarks ? Melophorus bagoti Nest Wystrach et al. 2011. JCPA Nest Wystrach et al. 2011. JCPA Melophorus bagoti Landmarks or panorama ? Melophorus bagoti Wystrach et al., 2011. Front. In Zool. Ant paths Quantifying visual Information Ant eye 1 pixel / 4 deg Wystrach et al., 2011. Front. In Zool. Human resolution Ant resolution Ant paths Picture based Hypotheses predictions Wystrach et al., 2011. Front. In Zool. Ant paths Picture based Hypotheses predictions Wystrach et al., 2011. Front. In Zool. Cataglyphis velox Ant tracking in the field HABITRACKS Risse et al., (submited to Nature Methods) Accurate tracking in the field Ant tracking in the field HABITRACKS Risse et al., (submited to Nature Methods) Accurate tracking in the field Ant tracking in the field HABITRACKS HABITAT-3D Accurate reconstruction of natural habitats Ant tracking in the field HABITRACKS HABITAT-3D ANT EYE MODEL Reconstruction of ants’ visuo-motor experience Show the movie Motor pattern observation Real ant route Ants’ paths are oscillating Lent et al., 2013 Proc. Roy. Soc. B A simple oscillator model oscillator Real ant route View familiarity modulate the oscillator Kodzhabashev et al., 2015 Biomim. Syst. A simple oscillator model oscillator Real ant route View familiarity modulate the oscillator Kodzhabashev et al., 2015 Biomim. Syst. A simple oscillator model Tested on 15 ants’ route Mean: 1 error/12.8m travelled Oscillator model Real ant route Kodzhabashev et al., 2015 Biomim. Syst. A simple oscillator model Oscillator model Real ant route To explore emerging proprieties When lost, scanning behaviour emerges! Kodzhabashev et al., 2015 Biomim. Syst. Ants vs. Model prediction Ants scan when lost Real ant route Wystrach et al., (2014) Ants vs. Model prediction Real ant route Mangan et al. 2012, Behav. Ecol Wystrach et al., (2014) Ants vs. Model prediction Learning walks For a naïve ant, the world looks unfamiliar scan scan scan scan scan Mueller and Wehner 2010 Curr biol Ants vs. Model prediction Real ant route mismatch Visual Visual Displacement (m) Wystrach et al. 2011. JCPA Neural implementation ? oscillator The connectome !! Eichler et al. "Nature 548.7666 (2017): 175. Aso, Y (2014) Elife, 3, e04577. Risse et al., 2013 Plos One Chemotaxis in larva Gomez-Marin et al., 2011. Nat. com Chemotaxis in larva Gomez-Marin et al., 2011. Nat. com Wystrach et al., 2016 Elife Simulation of larva chemotaxis Wystrach et al., 2016 Elife Simulation of larva chemotaxis Wystrach et al., 2016 Elife Larvae vs. Model predictions Wystrach et al., 2016 Elife Larvae vs. Model predictions Wystrach et al., 2016 Elife Learning assays Schleyer et al., 2011 Learn. & Mem Learning assays Asso centre ∑ Schleyer et al., 2011 Learn. & Mem The Mushroom bodies: an associative centre Heisenberg 2003 Nature Rev. Neurosc. Aso et al., 2016 Elife Simple summation of signals Asso centre ∑ Appetitive learning Aversive learning Innate Wystrach et al., 2016 Elife ∑ Motor effect of learning Motor effect of sugar Across sensory modalities Across sensory modalities Bellman et al., 2010; Front. in Neurosci. Across sensory modalities Flexibility for modulation/innovation. Across species? Route Following Plume Tracking Homing Mangan and Webb 2012 Taxis Pansopha, Ando and Kanzaki. 2014 Gomez-Marin et al., 2011 Philippides et al., 2013 Olfactory input into the mushroom body oscillator Heisenberg 2003 Nature Rev. Neurosc. Visual input into the mushroom body Gronenberg. 2008 Myrmecol. news Olfactory input into the mushroom body oscillator Heisenberg 2003 Nature Rev. Neurosc. Visual input into the mushroom body oscillator Webb and Wystrach 2006. Cur. Opin. Ins. Sci Oscillatory model for route following Oscillator model OSCILLATOR MUSHROOM VISUAL BODIES RECEPTORS Kenyon Cells N=20,000 OSCILLATOR Projection MB Neurons N=360 Output Neuron N=1 Reinforcer Neuron N=1 LeMoël and Wystrach in prep Emergence of new behaviours Route following Taxis Oscillations Oscillations Same neural mechanisms Different behaviours! Three different angles 1. Observations of behaviours Ecological task Fine motor pattern 3. Neural implementation Neurobiology 2. Cracking the algorithm Neural models Behavioural Hypothetised algorithm experimentation Unexpected prediction Neural model of path integration Stone et al., 2007 Current biology The experimental approach is ahead… Visual sequence learning Chameron et al., 1998. PRSB Directional cue integration Wystrach et al., 2015, PRSB Visuo – motor association Beugnon et al., 2016, JCPA Route optimisation and aversive memories Wystrach et al., in prep Homing from novel locations Wystrach et al., 2012 JEB Encoding wind direction Navigation while walking backwards Wystrach et al., 2012, Cur. Biol. Schwarz and Wystrach 2017, Cur. Biol. Blowing experiment Wystrach and Schwarz 2013. Cur. biol. Wystrach and Schwarz 2013. Cur. biol. Wystrach and Schwarz 2013. Cur. biol. Wystrach and Schwarz 2013. Cur. biol. Wystrach and Schwarz 2013. Cur. biol. Wystrach and Schwarz 2013. Cur. biol. Clutching ! Wystrach and Schwarz 2013. Cur. biol. Front Back Side Wind detection (my left) WIND (East) Celestial compass (South) Wystrach and Schwarz 2013. Cur. biol. Front Back Side Wind detection (my left) WIND (East) Celestial compass (South) Wystrach and Schwarz 2013. Cur. biol. Webb, B., & Wystrach, A. (2016). Neural mechanisms of insect navigation. Current Opinion in Insect Science, 15, 27-39. How can ants follow a route backward ? Schwarz et al. 2017. Cur. biol. Schwarz et al. 2017. Cur. biol. Schwarz et al. 2017. Cur. biol. Peeking behaviour Schwarz et al. 2017. Cur. biol. Schwarz et al. 2017. Cur. biol. Schwarz et al. 2017. Cur. biol. Holonomic control Schwarz et al. 2017. Cur. biol. Not a toolkit, but a distributed system BODY / ENVIRONMENT Systematic search Scans Homing Predicting wind displacement Path integration Route following Learning walks Backward navigation from which behaviours emerge ANT TRACKBALL Pilot trials in Macquarie University, with Dr. Narendra, 2017 ANT VISUAL DISPLAY ARENA Outside view Inside view Courtesy Zoltan Kocsi VIRTUAL REALITY FOR ANTS Any possible manipulations! Sebastian Schwarz Thanks The CRCA Benjamin Risse Barbara Webb Michael Mangan Alek Khodshabashev Paul Graham The ants and larvae you Andy Philippides Konstantinos Lagogiannis now Sebastian Schwarz Mathieu Lihoreau Alix Gabrielli Audrey Dussutour Florent Lemoel Martin Giurfa Cristian Pasquaretta Guillaume Isabelle Thanks !.
Recommended publications
  • Sociogenetic Organization of the Red Honey Ant (Melophorus Bagoti)
    insects Article Sociogenetic Organization of the Red Honey Ant (Melophorus bagoti) Nathan Lecocq de Pletincx * and Serge Aron Evolutionary Biology & Ecology, Université Libre de Bruxelles, B-1050 Brussels, Belgium; [email protected] * Correspondence: [email protected]; Tel.: +32-472015404 Received: 6 October 2020; Accepted: 2 November 2020; Published: 4 November 2020 Simple Summary: Monogamy is thought to be a major factor having favored the evolution of a non- reproductive worker caste in eusocial insects because it optimizes the relatedness among colony members. However, polyandry evolved secondarily in a large number of species. By increasing the genetic diversity within colonies, multiple mating can enhance worker task efficiency and resistance to diseases. Polyandry may also favor social harmony by reducing worker–queen conflict over male parentage. This is because in colonies headed by a single, multiple-mated queen, workers can increase their inclusive fitness by rearing their brothers (queen sons) rather than their nephews (offspring of other workers). Using DNA microsatellites, we showed that nests of the red honey ant, Melophorus bagoti, are headed by a single, multiple-mated queen. Morphometric analyses revealed two distinct worker subcastes: majors and minors; yet, we found no relationship between worker patriline and worker subcaste. Workers can produce males in the presence of the queen under natural conditions, which contrasts with predictions of inclusive fitness theory. Abstract: Kin selection and inclusive fitness are thought to be key factors explaining the reproductive altruism displayed by workers in eusocial insect species. However, when a colony’s queen has mated with <2 males, workers may increase their fitness by producing their own male offspring.
    [Show full text]
  • Formicidae, Ponerinae), a Predominantly Nocturnal, Canopy-Dwelling
    Behavioural Processes 109 (2014) 48–57 Contents lists available at ScienceDirect Behavioural Processes jo urnal homepage: www.elsevier.com/locate/behavproc Visual navigation in the Neotropical ant Odontomachus hastatus (Formicidae, Ponerinae), a predominantly nocturnal, canopy-dwelling predator of the Atlantic rainforest a,1 b,∗ Pedro A.P. Rodrigues , Paulo S. Oliveira a Graduate Program in Ecology, Universidade Estadual de Campinas, 13083-862 Campinas, SP, Brazil b Departamento de Biologia Animal, C.P. 6109, Universidade Estadual de Campinas, 13083-862 Campinas, SP, Brazil a r t a b i s c l e i n f o t r a c t Article history: The arboreal ant Odontomachus hastatus nests among roots of epiphytic bromeliads in the sandy forest Available online 24 June 2014 at Cardoso Island (Brazil). Crepuscular and nocturnal foragers travel up to 8 m to search for arthropod prey in the canopy, where silhouettes of leaves and branches potentially provide directional information. Keywords: We investigated the relevance of visual cues (canopy, horizon patterns) during navigation in O. hastatus. Arboreal ants Laboratory experiments using a captive ant colony and a round foraging arena revealed that an artificial Atlantic forest canopy pattern above the ants and horizon visual marks are effective orientation cues for homing O. has- Canopy orientation tatus. On the other hand, foragers that were only given a tridimensional landmark (cylinder) or chemical Ponerinae marks were unable to home correctly. Navigation by visual cues in O. hastatus is in accordance with other Trap-jaw ants diurnal arboreal ants. Nocturnal luminosity (moon, stars) is apparently sufficient to produce contrasting Visual cues silhouettes from the canopy and surrounding vegetation, thus providing orientation cues.
    [Show full text]
  • How to Navigate in Different Environments and Situations: Lessons from Ants
    fpsyg-09-00841 May 25, 2018 Time: 17:50 # 1 MINI REVIEW published: 29 May 2018 doi: 10.3389/fpsyg.2018.00841 How to Navigate in Different Environments and Situations: Lessons From Ants Cody A. Freas1,2 and Patrick Schultheiss3* 1 Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia, 2 Department of Psychology, University of Alberta, Edmonton, AB, Canada, 3 Research Center on Animal Cognition, Center for Integrative Biology, French National Center for Scientific Research, Toulouse University, Toulouse, France Ants are a globally distributed insect family whose members have adapted to live in a wide range of different environments and ecological niches. Foraging ants everywhere face the recurring challenge of navigating to find food and to bring it back to the nest. More than a century of research has led to the identification of some key navigational strategies, such as compass navigation, path integration, and route following. Ants have been shown to rely on visual, olfactory, and idiothetic cues for navigational guidance. Here, we summarize recent behavioral work, focusing on how these cues are learned and stored as well as how different navigational cues are integrated, often between strategies and even across sensory modalities. Information can also be communicated between different navigational routines. In this way, a shared toolkit of fundamental navigational strategies can lead to substantial flexibility in behavioral outcomes. This Edited by: allows individual ants to tune their behavioral repertoire to different tasks (e.g., foraging Jeffrey A. Riffell, and homing), lifestyles (e.g., diurnal and nocturnal), or environments, depending on the University of Washington, United States availability and reliability of different guidance cues.
    [Show full text]
  • Idiosyncratic Route-Based Memories in Desert Ants, Melophorus Bagoti: How Do They Interact with Path-Integration Vectors?
    Neurobiology of Learning and Memory 83 (2005) 1–12 www.elsevier.com/locate/ynlme Idiosyncratic route-based memories in desert ants, Melophorus bagoti: How do they interact with path-integration vectors? Martin Kohler, Ru¨diger Wehner* Institute of Zoology, University of Zu¨rich, Winterthurerstrasse 190, CH-8057 Zu¨rich, Switzerland Received 24 December 2003; revised 10 May 2004; accepted 25 May 2004 Available online 13 August 2004 Abstract Individually foraging desert ants of central Australia, Melophorus bagoti, exhibit amazingly precise mechanisms of visual land- mark guidance when navigating through cluttered environments. If trained to shuttle back and forth between the nest and a feeder, they establish habitual outbound and inbound routes, which guide them idiosyncratically across the natural maze of extended arrays of grass tussocks covering their foraging areas. The route-based memories that usually differ between outbound and inbound runs are acquired already during the first runs to the nest and feeder. If the ants are displaced sideways of their habitual routes, they can enter their stereotyped routes at any place and then follow these routes with the same accuracy as if they had started at the usual point of departure. Furthermore, the accuracy of maintaining a route does not depend on whether homebound ants have been cap- tured at the feeder shortly before starting their home run and, hence, with their home vector still fully available (full-vector ants), or whether they have been captured at the nest after they had already completed their home run (zero-vector ants). Hence, individual landmark memories can be retrieved independently of the state of the path-integration vector with which they have been associated during the acquisition phase of learning.
    [Show full text]
  • The Learning Walks of Ants (Hymenoptera: Formicidae)
    ISSN 1997-3500 Myrmecological News myrmecologicalnews.org Myrmecol. News 29: 93-110 doi: 10.25849/myrmecol.news_029:093 24 July 2019 Review Article The learning walks of ants (Hymeno ptera: Formicidae) Jochen Zeil & Pauline N. Fleischmann Abstract When transitioning from in-nest duties to their foraging life outside the nest, ants perform a series of highly choreo- graphed learning walks around the nest entrance, before leaving to forage for the first time. These learning walks have been described in detail only for a few species of ants, but a pattern of similarities and differences is emerging that we review here with an emphasis on understanding the functional significance of this learning process for efficient homing in ants. We compare the organization of learning walks in ants with that of the learning flights in bees and wasps and provide a list of key research questions that would need to be tackled if we are to understand the role of learning walks in the acquisition of nest-location information, the evolution of this highly conserved learning process, and how it is controlled. Key words: Visual navigation, visual learning and memory, homing, celestial compass, magnetic compass, landmark guidance, review. Received 30 April 2019; revision received 13 June 2019; accepted 20 June 2019 Subject Editor: Bernhard Ronacher Jochen Zeil (contact author; http://orcid.org/0000-0003-1822-6107), Research School of Biology, The Australian National University, Canberra, ACT2601, Australia. E-mail: [email protected] Pauline N. Fleischmann ( http://orcid.org/0000-0002-5051-884X), Behavioral Physiology and Sociobiology (Zoology II), Biozentrum, University of Würzburg, Am Hubland, 97074 Würzburg, Germany.
    [Show full text]
  • Homing Strategies of the Australian Desert Ant Melophorus Bagoti I
    1798 The Journal of Experimental Biology 210, 1798-1803 Published by The Company of Biologists 2007 doi:10.1242/jeb.02768 Homing strategies of the Australian desert ant Melophorus bagoti I. Proportional path-integration takes the ant half-way home Ajay Narendra Department of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia Present address: ARC Centre of Excellence in Vision Science and Centre for Visual Sciences, Research School of Biological Sciences, Australian National University, PO Box 475, Biology Place, Canberra, ACT 2601, Australia (e-mail: [email protected]) Accepted 5 March 2007 Summary Highly evolved eusocial insects such as ants return from inward journey is on an unfamiliar area, the Australian a food source to their nest by the shortest possible route-following desert ant Melophorus bagoti relies on the distance. This form of navigation, called path-integration, path integrator and consistently travels half the distance of involves keeping track of the distance travelled and the the outward trip. However, when both the outward and angles steered on the outbound journey, which then aids in inward trips are performed in plain and featureless the computation of the shortest return distance. In channels, which blocks the distinct terrestrial visual cues, featureless terrain, ants rely on the path integrator to ants travel the entire distance accurately. A similar half- travel the entire distance to return to the nest, whereas in way abbreviation of the home vector occurs when the ant’s landmark-rich habitats ants are guided by visual cues and outward trip is in an L-shaped channel and the homeward in the absence of the visual cues homing ants rely on the trip is over an open and unfamiliar region.
    [Show full text]
  • Landmarks Or Panoramas: What Do Navigating Ants Attend to for Guidance? Antoine Wystrach1,2*, Guy Beugnon2 and Ken Cheng1
    Wystrach et al. Frontiers in Zoology 2011, 8:21 http://www.frontiersinzoology.com/content/8/1/21 RESEARCH Open Access Landmarks or panoramas: what do navigating ants attend to for guidance? Antoine Wystrach1,2*, Guy Beugnon2 and Ken Cheng1 Abstract Background: Insects are known to rely on terrestrial landmarks for navigation. Landmarks are used to chart a route or pinpoint a goal. The distant panorama, however, is often thought not to guide navigation directly during a familiar journey, but to act as a contextual cue that primes the correct memory of the landmarks. Results: We provided Melophorus bagoti ants with a huge artificial landmark located right near the nest entrance to find out whether navigating ants focus on such a prominent visual landmark for homing guidance. When the landmark was displaced by small or large distances, ant routes were affected differently. Certain behaviours appeared inconsistent with the hypothesis that guidance was based on the landmark only. Instead, comparisons of panoramic images recorded on the field, encompassing both landmark and distal panorama, could explain most aspects of the ant behaviours. Conclusion: Ants navigating along a familiar route do not focus on obvious landmarks or filter out distal panoramic cues, but appear to be guided by cues covering a large area of their panoramic visual field, including both landmarks and distal panorama. Using panoramic views seems an appropriate strategy to cope with the complexity of natural scenes and the poor resolution of insects’ eyes. The ability to isolate landmarks from the rest of a scene may be beyond the capacity of animals that do not possess a dedicated object-perception visual stream like primates.
    [Show full text]
  • Learning Walks in an Australian Desert Ant, Melophorus Bagoti
    Learning walks in an Australian desert ant, Melophorus bagoti Sudhakar Deeti and Ken Cheng Department of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia Active Email [email protected] ABSTRACT The Central Australian ant Melophorus bagoti is the most thermophilic ant in Australia and forages solitarily in the summer months during the hottest period of the day. For successful navigation, desert ants of many species are known to integrate a path and learn landmark cues around the nest. Ants perform a series of exploratory walks around the nest before their first foraging trip, during which they are presumed to learn about their landmark panorama. Here, we studied 15 naïve M. bagoti ants transitioning from indoor work to foraging outside the nest. In three to four consecutive days, they performed 3 to 7 exploratory walks before heading off to forage. Naïve ants increased the area of exploration around the nest and the duration of trips over successive learning walks. In their first foraging walk, the majority of the ants followed a direction explored on their last learning walk. During learning walks, the ants stopped and performed stereotypical orientation behaviours called pirouettes. They performed complete body rotations with stopping phases as well as small circular walks without stops known as voltes. After just one learning walk, these desert ants could head in the home direction from locations 2 m from the nest, although not from locations 4 m from the nest. These results suggest gradual learning of the visual landmark panorama around the foragers’ nest. Our observations show that M. bagoti exhibit similar characteristics in their learning walks as other desert ants of the genera Ocymyrmex and Cataglyphis.
    [Show full text]
  • Hymenoptera: Formicidae: Myrmicinae)
    Myrmecological News 18 33-49 Online Earlier, for print 2013 Foraging behavior in the ant genus Messor (Hymenoptera: Formicidae: Myrmicinae) Nicola J.R. PLOWES, Robert A. JOHNSON & Bert HÖLLDOBLER Abstract The genus Messor consists of 113 species of seed harvesting ants that are found in grasslands, semi-arid areas and savan- nahs in both the Old and New World. A full spectrum of foraging strategies occurs in Messor, ranging from individual to group foraging, with the latter having evolved several times. This paper reviews foraging strategies and the underlying behavioral mechanisms found in species of Messor. The glandular origin of trail pheromones in Old World species ex- amined thus far come from Dufour gland secretions, whereas New World species use secretions from the poison gland. The constituents of poison and Dufour glands are known for several species, but biologically active components have not been identified. In addition, two New World group foraging species (M. andrei, M. pergandei) possess pygidial glands that function during initiation of group foraging. Overall, this diverse genus deserves further study because it contains examples of behavioral convergence both within the genus and with other seed harvesting genera, such as Pogonomyrmex. Key words: Dufour gland, foraging columns, harvesting ants, poison gland, pygidial gland, recruitment, trunk trails, review. Myrmecol. News 18: 33-49 (online xxx 2012) ISSN 1994-4136 (print), ISSN 1997-3500 (online) Received 11 June 2012; revision received 25 September 2012; accepted 16 October 2012 Subject Editor: Daniel J.C. Kronauer Nicola J.R. Plowes (contact author), School of Life Sciences, Arizona State University, Tempe, AZ 85287-4501, USA.
    [Show full text]
  • The Architecture of the Desert Ant's Navigational Toolkit (Hymenoptera: Formicidae)
    Myrmecological News 12 85-96 Vienna, September 2009 The architecture of the desert ant's navigational toolkit (Hymenoptera: Formicidae) Rüdiger WEHNER Abstract In the last decades North African desert ants of the genus Cataglyphis FOERSTER, 1850 – and more recently their eco- logical equivalents in the Namib desert (Ocymyrmex EMERY, 1886) and Australia (Melophorus LUBBOCK, 1883) – have become model organisms for the study of insect navigation. While foraging individually over distances of many thou- sand times their body lengths in featureless as well as cluttered terrain, they navigate predominantly by visual means using vector navigation (path integration) and landmark-guidance mechanisms as well as systematic-search and target- expansion strategies as their main navigational tools. In vector navigation they employ several ways of acquiring infor- mation about directions steered (compass information) and distances covered (odometer information). In landmark guid- ance they rely on view-based information about visual scenes obtained at certain vantage points and combined with certain steering (motor) commands of what to do next. By exploring how these various navigational routines interact, the current position paper provides a hypothesis of what the architecture of the ant's navigational toolkit might look like. The hypothesis is built on the assumption that the toolkit consists of a number of domain-specific routines. Even though these routines are quite rigidly preordained (and get modified during the ant's lifetime by strictly task-dependent, rapid learning processes), they interact quite flexibly in various, largely context-dependent ways. However, they are not suited to provide the ant with cartographic information about the locations of places within the animal's foraging environment.
    [Show full text]
  • Common Names for Australian Ants (Hymenoptera: Formicidae)
    Australian Journal of Entomology (2002) 41, 285–293 Common names for Australian ants (Hymenoptera: Formicidae) Alan N Andersen CSIRO Sustainable Ecosystems, Tropical Ecosystems Research Centre, PMB 44, Winnellie, NT 0822, Australia. Abstract Most insects do not have common names, and this is a significant barrier to public interest in them, and to their study by non-specialists. This holds for even highly familiar insect groups such as ants. Here, I propose common names for all major native Australian ant genera and species-groups, as well as for many of the most abundant and distinctive species. Sixty-two genera, 142 species-groups and 50 species are given names. The naming system closely follows taxonomic structure; typically a genus is given a general common name, under which species-group and species names are nested. Key words ant species, communicating entomology, species-groups, taxonomic nomenclature. INTRODUCTION ‘little black ones’ (the remaining several thousand Australian species). Here, I attempt to redress this situation by propos- Common names are powerful aids for the popular communi- ing common names for all major native Australian ant genera cation of information about plant and animal species. Such and species-groups, as well as for many abundant and names use familiar and easily remembered words, in contrast distinctive species. to the taxonomic nomenclature that is so daunting for most people without formal scientific training. All higher-profile vertebrates and vascular plants have widely accepted common names. These increase the accessibility of these species to a PROPOSED ANT COMMON NAMES wide public audience, and promote interest in them. In Proposed common names, and explanations for them, for contrast, the vast majority of insects and other arthropods 62 genera, 142 species-groups and 50 species of Australian have no common name beyond the ordinal level, unless they ants are presented in Appendix I, Table A1.
    [Show full text]
  • Desert Ants (Melophorus Bagoti) Navigating with Robustness to Distortions of the Natural Panorama
    Desert ants (Melophorus bagoti) navigating with robustness to distortions of the natural panorama S. Schwarz, E. Julle-Daniere, L. Morin, P. Schultheiss, A. Wystrach, J. Ives, K. Cheng Abstract Many insects are known to use the terrestrial visual panorama for navigation. Research suggests that large- scale panoramic properties are often used for orientation rather than individual objects, usually called landmarks. We degraded the natural panorama encountered by Australian red honey ants, Melophorus bagoti, to test how robust their orientation based on the terrestrial panorama is. Foraging ants were lured to a feeder at a constant location. Trained ants were allowed to run home individually with food, but were captured just before they entered their nest. The tested ant was brought back to the location of the feeder, now covered, and allowed to run home again under different distortions of the natural panorama. In one experiment, a large tract of the view on one side of the feeder was obstructed by a tall plastic sheet. In a second experiment, the visual heights of terrestrial objects were altered by raising or lowering the ant by 80 cm. Under both kinds of distortions, the ants continued to be well oriented in the homeward direction. Navigation based on the natural terrestrial panorama proved robust to large distortions. Introduction Path integration and view-based navigation utilising the visual panorama are major means of navigation in animals (Cheng and Spetch, 1998; Wehner and Srinivasan, 2003; Etienne and Jeffery, 2004; Wiener et al., 2011). In path integration, the navigator keeps track of the straight-line distance and direction from the starting point (typically home), and then uses this constantly updated vector to navigate back.
    [Show full text]